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Module title,Abbreviation,Module coordinator,Module offered by,ETCS,Method of grading,Duration,Module level,Contents,Intended learning outcomes,Courses,Method of assessment,Allocation of places,Additional information,Workload,Teaching cycle,Referred to in LPO I
Information Processing within Organizations,12-IV-161-m01,Faculty of Business Management and Economics,holder of the Chair of Business Management and Business,5,numerical grade,1 semester,graduate,"Content:
This course provides students with an in-depth overview of the structure and the application areas of business
management information systems in enterprises and public institutions.
Outline of syllabus:
1. What is software: concepts, categories, application
2. Software life cycle: duration, phases, steps
3. As-is analysis: tasks, problems
4. To-be concept: system design, data design, dialog design, function design
5. Object orientation: paradigm shift
6. Change management: meaning, methodologies, project management
7. Office automation: tasks, areas of application","After completing the course ""Integrated Information Processing"", students will be able to
(i) understand the importance of integration in enterprises, especially in information systems;
(ii) assess the progress of development of a software project, estimate cycle costs, know and consider require-
ments, which brings a software implementation with;
(iii) select the correct procedures or practices in an as-is analysis and target conception and practically apply
(with participation in the exercise);
(iv) understand the importance of change management and project management and know the appropriate me-
thods for specific applications.",V (2) + Ü (2),"written examination (approx. 60 minutes)
Language of assessment: German and/or English
creditable for bonus",--,--,150 h,--,--
IT-Management,12-M-ITM-161-m01,Faculty of Business Management and Economics,Holder of the Chair of Information Systems Engineering,5,numerical grade,1 semester,graduate,"Content:
This course provides students with an in-depth overview of aims, tasks and appropriate methods of IT manage-
ment.
Outline of syllabus:
1. Organisation and distinction
2. IT strategy
3. IT organisation
4. Management of IT systems
5. Enterprise Architecture Management
6. IT project management
7. IT security
8. IT law
9. IT controlling
Reading:
• Hofmann/Schmidt: Masterkurs IT-Management, Wiesbaden.
• Tiemeyer: Handbuch IT-Management, Munich.
• Hanschke: Strategisches Management der IT-Landschaft, Munich.","After completing the course ""IT Management"", students will be able to
1. overview the different aspects to be considered regarding a purposeful IT management;
2. understand and apply appropriate methods and tools;
3. independently perform system search and selection in a team project (only after participation in the practice
lessons).",V (2) + Ü (2),"a) written examination (approx. 60 minutes) or b) oral examination (one candidate each: approx. 15 to 20 minu-
tes; groups of 2: approx. 20 minutes; groups of 3: approx. 30 minutes)
Language of assessment: German and/or English
creditable for bonus",--,--,150 h,--,--
Project Seminar,12-PS-192-m01,Faculty of Business Management and Economics,Holder of the Chair of Business Management and Business,15,numerical grade,1 semester,graduate,"Content:
In small project teams of 4 to 10 members, students will spend several months actively working on a specific and
realistic problem with practical relevance. They will progress through several project stages including as-is analy-
sis, to-be conception and implementation of an IS solution. The project teams will be required to work indepen-
dently and will only receive advice and minor support from research assistants.
Reading:
will vary according to topic","After completing the course ""Projektseminar"", students will be able to
1. analyze business tasks and requirements and generate fitting IS solutions;
2. apply project management methods;
3. internalize stress, time and conflict management by means of practical teamwork.",S (2),"project: preparing a conceptual design (approx. 150 hours), designing and implementing an approach to solution
(approx. 300 hours) as well as presentation (approx. 20 minutes), weighted 1:2:1
Language of assessment: German, English
Creditable for bonus",--,--,450 h,--,--
Information Retrieval,10-I=IR-161-m01,Institute of Computer Science,Dean of Studies Informatik (Computer Science),5,numerical grade,1 semester,graduate,"IR models (e. g. Boolean and vector space model, evaluation), processing of text (tokenising, text properties),
data structures (e. g. inverted index), query elements (e. g. query operations, relevance feedback, query langua-
ges and paradigms, structured queries), search engine (e. g. architecture, crawling, interfaces, link analysis), me-
thods to support IR (e. g. recommendation systems, text clustering and classification, information extraction).","The students possess theoretical and practical knowledge in the area of information retrieval and have acquired
the technical know-how to create a search engine.",V (2) + Ü (2),"written examination (approx. 60 to 120 minutes).
If announced by the lecturer at the beginning of the course, the written examination may be replaced by an oral
examination of one candidate each (approx. 20 minutes) or an oral examination in groups of 2 candidates (ap-
prox. 15 minutes per candidate).
Language of assessment: German and/or English
creditable for bonus",--,"Focuses available for students of the Master's programme Informatik (Computer Science, 120 ECTS credits):
IT,IS,HCI,GE",150 h,--,--
Analysis and Design of Programs,10-I=PA-161-m01,Institute of Computer Science,holder of the Chair of Computer Science II,5,numerical grade,1 semester,graduate,"Program analysis, model creation in software engineering, program quality, test of programs, process models.","The students are able to analyse programs, to use testing frameworks and metrics as well as to judge program
quality.",V (2) + Ü (2),"written examination (approx. 60 to 120 minutes).
If announced by the lecturer at the beginning of the course, the written examination may be replaced by an oral
examination of one candidate each (approx. 20 minutes) or an oral examination in groups of 2 candidates (ap-
prox. 15 minutes per candidate).
Language of assessment: German and/or English
creditable for bonus",--,"Focuses available for students of the Master's programme Informatik (Computer Science, 120 ECTS credits):
SE,IS,ES,GE",150 h,--,--
Security of Software Systems,10-I=SSS-172-m01,Institute of Computer Science,holder of the Chair of Computer Science II,5,numerical grade,1 semester,graduate,"The lecture provides an overview of common software vulnerabilities, state-of-the-art attack techniques on mo-
dern computer systems, as well as the measures implemented to protect against these attacks. In the course,
the following topics are discussed:
• x86-64 instruction set architecture and assembly language
• Runtime attacks (code injection, code reuse, defenses)
• Web security
• Blockchains and smart contracts
• Side-channel attacks
• Hardware security","Students gain a deep understanding of software security, from hardware and low-level attacks to modern con-
cepts such as blockchains. The lecture prepares for research in the area of security and privacy, while the exerci-
ses allow students to gain hands-on experience with attacks and analysis of systems from an attacker's perspec-
tive.","V (2) + Ü (2)
Module taught in: English","written examination (approx. 60 to 120 minutes).
If announced by the lecturer at the beginning of the course, the written examination may be replaced by an oral
examination of one candidate each (approx. 20 minutes) or an oral examination in groups of 2 candidates (ap-
prox. 15 minutes per candidate).
Language of assessment: English
creditable for bonus",--,"Focuses available for students of the Master's programme Informatik (Computer Science, 120 ECTS credits): SE,
IS, LR, HCI, ES.
Basic programming knowledge in C is required.",150 h,--,--
Software Architecture,10-I=SAR-161-m01,Institute of Computer Science,holder of the Chair of Computer Science II,5,numerical grade,1 semester,graduate,Current topics in the area of aerospace.,"The students possess a fundamental and applicable knowledge about advanced topics in software engineering
with a focus on modern software architectures and fundamental approaches to model-driven software enginee-
ring.",V (2) + Ü (2),"written examination (approx. 60 to 120 minutes).
If announced by the lecturer at the beginning of the course, the written examination may be replaced by an oral
examination of one candidate each (approx. 20 minutes) or an oral examination in groups of 2 candidates (ap-
prox. 15 minutes per candidate).
Language of assessment: German and/or English
creditable for bonus",--,"Focuses available for students of the Master's programme Informatik (Computer Science, 120 ECTS credits):
SE,IT,ES",150 h,--,--
Artificial Intelligence 1,10-I=KI1-161-m01,Institute of Computer Science,holder of the Chair of Computer Science VI,5,numerical grade,1 semester,graduate,"Intelligent agents, uninformed and heuristic search, constraint problem solving, search with partial information,
propositional and predicate logic and inference, knowledge representation.","The students possess theoretical and practical knowledge about artificial intelligence in the area of agents,
search and logic and are able to assess possible applications.",V (2) + Ü (2),"written examination (approx. 60 to 120 minutes).
If announced by the lecturer at the beginning of the course, the written examination may be replaced by an oral
examination of one candidate each (approx. 20 minutes) or an oral examination in groups of 2 candidates (ap-
prox. 15 minutes per candidate).
Language of assessment: German and/or English
creditable for bonus",--,"Focuses available for students of the Master's programme Informatik (Computer Science, 120 ECTS credits):
AT,SE,IS,HCI",150 h,--,--
Discrete Event Simulation,10-I=ST-161-m01,Institute of Computer Science,holder of the Chair of Computer Science III,8,numerical grade,1 semester,graduate,"Introduction to simulation techniques, statistical groundwork, creation of random numbers and random varia-
bles, random sample theory and estimation techniques, statistical analysis of simulation values, inspection of
measured data, planning and evaluation of simulation experiments, special random processes, possibilities and
limits of model creation and simulation, advanced concepts and techniques, practical execution of simulation
projects.","The students possess the methodic knowledge and the practical skills necessary for the stochastic simulation of
(technical) systems, the evaluation of results and the correct assessment of the possibilities and limits of simu-
lation methods.",V (4) + Ü (2),"written examination (approx. 60 to 120 minutes).
If announced by the lecturer at the beginning of the course, the written examination may be replaced by an oral
examination of one candidate each (approx. 20 minutes) or an oral examination in groups of 2 candidates (ap-
prox. 15 minutes per candidate).
Language of assessment: German and/or English
creditable for bonus",--,"Focuses available for students of the Master's programme Informatik (Computer Science, 120 ECTS credits):
IT,IS,ES,GE",240 h,--,--
Advanced Programming,10-I=APR-182-m01,Institute of Computer Science,holder of the Chair of Computer Science II,5,numerical grade,1 semester,graduate,"With the knowledge of basic programming, taught in introductory lectures, it is possible to realize simpler pro-
grams. If more complex problems are to be tackled, suboptimal results like long, incomprehensible functions
and code duplicates occur. In this lecture, further knowledge is to be conveyed on how to give programs and co-
de a sensible structure. Also, further topics in the areas of software security and parallel programming are dis-
cussed.","Students learn advanced programming paradigms especially suited for space applications. Different patterns are
then implemented in multiple languages and their efficiency measured using standard metrics. In addition, par-
allel processing concepts are introduced culminating in the use of GPU architectures for extremely quick proces-
sing.","V (2) + Ü (2)
Module taught in: English","written examination (90 to 120 minutes)
Language of assessment: English
creditable for bonus",--,--,150 h,--,--
Programming with neural nets,10-I=PNN-212-m01,Institute of Computer Science,holder of the Chair of Computer Science IX,5,numerical grade,1 semester,graduate,"Overview over NN, implementation of important NN-architectures like FCN, CNN and LSTMs, practical example for
NN-architectures, among others in the area of image and language processing.","Knowledge about possible applications and limitations of NN, for important architectures (eg. FCN, CNN, LSTM)
and how they are implemented in NN-tools like Tensorflow/Keras, ability to program network structures from lite-
rature, to prepare data and solve concrete tasks for NN.",V (2) + Ü (2),"written examination (approx. 60 to 120 minutes).
If announced by the lecturer at the beginning of the course, the written examination may be replaced by an oral
examination of one candidate each (approx. 20 minutes) or an oral examination in groups of 2 candidates (ap-
prox. 15 minutes per candidate).
creditable for bonus
Language of assessment: German and/or English",--,"Focuses available for students of the Master's programme Informatik (Computer Science, 120 ECTS credits):
IT,KI,HCI,GE",150 h,--,--
NLP and Text Mining,10-I=STM-162-m01,Institute of Computer Science,holder of the Chair of Computer Science VI,5,numerical grade,1 semester,graduate,"Foundations in the following areas: definition of NLP and text mining, properties of text, sentence boundary de-
tection, tokenisation, collocation, N-gram models, morphology, hidden Markov models for tagging, probabili-
stic parsing, word sense disambiguation, term extraction methods, information extraction, sentiment analysis.
The students possess theoretical and practical knowledge about typical methods and algorithms in the area of
text mining and language processing mostly for English. They are able to solve problems through the methods
taught. They have gained experience in the application of text mining algorithms.","The students possess theoretical and practical knowledge about typical methods and algorithms in the area of
text mining and language processing. They are able to solve practical problems with the methods acquired in
class. They have gained experience in the application of text mining algorithms.",V (2) + Ü (2),"written examination (approx. 60 to 120 minutes).
If announced by the lecturer at the beginning of the course, the written examination may be replaced by an oral
examination of one candidate each (approx. 20 minutes) or an oral examination in groups of 2 candidates (ap-
prox. 15 minutes per candidate).
Language of assessment: German and/or English",--,"Focuses available for students of the Master's programme Informatik (Computer Science, 120 ECTS credits): AT,
IT, HCI.",150 h,--,--
Systems Benchmarking,10-I=SB-212-m01,Institute of Computer Science,holder of the Chair of Computer Science IX,5,numerical grade,1 semester,nan,--,--,V (2) + Ü (2),"written examination (approx. 60 to 120 minutes).
If announced by the lecturer at the beginning of the course, the written examination may be replaced by an oral
examination of one candidate each (approx. 20 minutes) or an oral examination in groups of 2 candidates (ap-
prox. 15 minutes per candidate).
creditable for bonus
Language of assessment: German and/or English",--,"Focuses available for students of the Master's programme Informatik (Computer Science, 120 ECTS credits):
SE,IT,ES,HCI,GE",150 h,--,--
Computer Vision,10-xtAI=CV-202-m01,Institute of Computer Science,Dean of Studies Informatik (Computer Science),5,numerical grade,1 semester,graduate,"The lecture provides knowledge about current methods and algorithms in the field of computer vision. Important
basics as well as the most recent approaches to image representation, image processing and image analysis are
taught. Actual models and methods of machine learning as well as their technical backgrounds are presented
and their respective applications in image processing are shown.","Students have fundamental knowledge of problems and techniques in the field of computer vision and are able
to independently identify and apply suitable methods for concrete problems.","V (2) + Ü (2)
Module taught in: English","Written examination (approx. 60 to 120 minutes)
If announced by the lecturer at the beginning of the course, the written examination may be replaced by an oral
examination of one candidate each (approx. 20 minutes) or an oral examination in groups of 2 candidates (ap-
prox. 15 minutes per candidate).
Language of assessment: English
Creditable for bonus",--,--,150 h,--,--
Image Processing and Computational Photography,10-I=IP-222-m01,Institute of Computer Science,nan,5,numerical grade,1 semester,nan,--,--,"V (2) + Ü (2)
Module taught in: English","written examination (approx. 60 to 120 minutes)
If announced by the lecturer at the beginning of the course, the written examination may be replaced by an oral
examination of one candidate each (approx. 20 minutes) or an oral examination in groups of 2 candidates (ap-
prox. 15 minutes per candidate).
Language of assessment: English
Creditable for bonus",--,--,150 h,--,--
Multilingual NLP,10-I=MNLP-232-m01,Institute of Computer Science,nan,5,numerical grade,1 semester,nan,--,--,"V (2) + Ü (2)
Module taught in: German and/or English","written examination (approx. 60 to 120 minutes)
If announced by the lecturer at the beginning of the course, the written examination may be replaced by an oral
examination of one candidate each (approx. 20 minutes) or an oral examination in groups of 2 candidates (ap-
prox. 15 minutes per candidate).
Language of assessment: English
Creditable for bonus",--,--,150 h,--,--
Statistical Network Analysis,10-I=SNA-232-m01,Institute of Computer Science,holder of the Chair of Computer Science XV,5,numerical grade,1 semester,graduate,"Networks matter! This holds for technical infrastructures like communication or transportation networks, for in-
formation systems and social media in the World Wide Web, but also for various social, economic and biologi-
cal systems. What can we learn from data that capture the interaction topology of such complex systems? What
is the role of individual nodes and how can we discover significant patterns in the structure of networks? How do
these structures influence dynamical process like diffusion or the spreading of epidemics? Which are the most
influential actors in a social network? And how can we analyze time series data on systems with dynamic net-
work topologies?
Addressing those questions, the course combines a series of lectures -- which introduce fundamental concepts
for the statistical modelling of complex networks -- with weekly exercises that show how we can apply them to
practical network analysis tasks. Topics covered include foundations of graph theory, centrality and modulari-
ty measures, aggregate statistical characteristics of large networks, random graphs and statistical ensembles
of complex networks, generating function analysis of expected graph properties, scale-free networks, stocha-
stic dynamics in networks, spectral analysis, as well as the modelling of time-varying networks. The course ma-
terial consists of annotated slides for lectures as well as a accompanying git-Repository of jupyter notebooks,
which implement and validate the theoretical concepts covered in the lectures. Students can test and deepen
their knowledge through weekly exercise sheets. The successful completion of the course requires to pass a final
written exam.","The course will equip participants with statistical network analysis techniques that are needed for the data-dri-
ven modelling of complex technical, social, and biological systems. Students will understand how we can quan-
titatively model the topology of networked systems and how we can detect and characterize topological pat-
terns. Participants will learn how to use analytical methods to make statements about the expected properties of
very large networks that are generated based on different stochastic models. They further gain an analytical un-
derstanding of how the structure of networks shapes dynamical processes, how statistical fluctuations in degree
distributions influence the robustness of systems, and how emergent network features emerge from simple ran-
dom processes.","V (2) + Ü (2)
Module taught in: English","written examination (approx. 60 to 120 minutes).
If announced by the lecturer at the beginning of the course, the written examination may be replaced by an oral
examination of one candidate each (approx. 20 minutes) or an oral examination in groups of 2 candidates (ap-
prox. 15 minutes per candidate).
Language of assessment: German and/or English
creditable for bonus",--,"Focuses available for students of the Master's programme Informatik (Computer Science, 120 ECTS credits):
IN",150 h,--,--
Operations Research,10-I=OR-232-m01,Institute of Computer Science,nan,5,numerical grade,1 semester,nan,--,--,"V (2) + Ü (2)
Module taught in: German and/or English","written examination (approx. 60 to 120 minutes)
If announced by the lecturer at the beginning of the course, the written examination may be replaced by an oral
examination of one candidate each (approx. 20 minutes) or an oral examination in groups of 2 candidates (ap-
prox. 15 minutes per candidate).
Language of assessment: German and/or English
creditable for bonus",--,"Focuses available for students of the Master's programme Informatik (Computer Science, 120 ECTS credits): IN",150 h,--,--
Machine Learning for Networks 1,10-I=MLN1-232-m01,Institute of Computer Science,nan,5,numerical grade,1 semester,nan,--,--,"V (2) + Ü (2)
Module taught in: English","written examination (approx. 60 to 120 minutes)
If announced by the lecturer at the beginning of the course, the written examination may be replaced by an oral
examination of one candidate each (approx. 20 minutes) or an oral examination in groups of 2 candidates (ap-
prox. 15 minutes per candidate).
Language of assessment: English
creditable for bonus",--,"Focuses available for students of the Master's programme Informatik (Computer Science, 120 ECTS credits):
AT,IT,SE,KI,HCI,IN",150 h,--,--
Data Science,10-I=DM-232-m01,Institute of Computer Science,holder of the Chair of Computer Science IX,5,numerical grade,1 semester,graduate,"Foundations in the following areas: definition of data mining and knowledge discovery in databases, process
model, relationship to data warehouse and OLAP data preprocessing, data visualisation, unsupervised learning
methods (cluster- and association methods), supervised learning (e. g. Bayes classification, KNN, decision trees,
SVM), learning methods for special data types, further learning paradigms.","The students possess a theoretical and practical knowledge of typical methods and algorithms in the area of da-
ta mining and machine learning. They are able to solve practical knowledge discovery problems with the help of
the knowledge acquired in this course and by using the KDD process. They have acquired experience in the use
or implementation of data mining algorithms.",V (2) + Ü (2),"written examination (approx. 60 to 120 minutes).
If announced by the lecturer at the beginning of the course, the written examination may be replaced by an oral
examination of one candidate each (approx. 20 minutes) or an oral examination in groups of 2 candidates (ap-
prox. 15 minutes per candidate).
Language of assessment: German and/or English
creditable for bonus",--,"Focuses available for students of the Master's programme Informatik (Computer Science, 120 ECTS credits):
IT,KI,HCI,GE,SEC",150 h,--,--
Business Software 1: IS-based Enterprise Management,12-GPU-192-m01,Faculty of Business Management and Economics,Holder of the Chair of Business Management and Business,5,numerical grade,1 semester,graduate,"Content:
This module provides students with an overview of the structure of a business information system (SAP Business
ByDesign) in depth.
Outline of syllabus:
1. Integrated information systems: integration, standard software, system architecture
2. Working with standard business software
3. Consulting in integrated information systems: project management, project organisation, presentation skills
Description:
The lecture will be accompanied by an exercise that will present students with an opportunity to access, in small
groups, the enterprise resource planning system operated by the Chair in its ERP laboratory and to work with the
software, dealing with a wide variety of business processes.
If you would like to register for this course, please submit an application to the consultants (cover letter, CV, cer-
tificates; please also specify your degree programme and student ID number).","After completing the course ""Business Software 1"", students will be able to
(i) understand an ERP system in its depth;
(ii) understand the interaction of business processes;
(iii) execute business tasks and processes in an ERP system independently (after participation in the practice
lessons).",V (2) + Ü (2),"a) Written examination (approx. 60 minutes) or
b) oral examination (one candidate each: approx. 10 to 15 minutes, groups of 2: approx. 20 minutes, groups of 3:
approx. 30 minutes) or
c) Term paper (15 to 20 pages) or
Creditable for bonus
Language of assessment: German and/or English
Assessment offered: Once a year, winter semester","20 places.
Should the number of applications exceed the number of available places, places will be allocated as follows:
(1) Master's students of Information Systems will be given preferential consideration.
(2) The remaining places will be allocated to students of other subjects.
(3) When places are allocated in accordance with (1) and (2) and the number of applications exceeds the number
of available places, places will be allocated by lot among applicants from this group.",--,150 h,--,--
Business Software 2: Enterprise Resource Planning Systems,12-M-ERP-192-m01,Faculty of Business Management and Economics,Holder of the Chair of Business Management and Business,5,numerical grade,1 semester,graduate,"Content:
This module provides students with an overview of the structure of business information systems in width as
well as the selection and implementation of business information systems in organisations.
Outline of syllabus:
1. Integrated information systems: integration, standard software, system architectures, operating models
2. Selection of integrated information systems: methods, cost-benefit analysis
3. Implementation of integrated information systems: project management, project organisation, project marke-
ting
The lecture will be accompanied by an exercise that will present students with an opportunity to access, in small
groups, the enterprise resource planning system operated by the Chair in its ERP laboratory and to work with the
software, dealing with a wide variety of business processes.","After completing the course ""Business Software 2"", students will be able to
1. differentiate between system architectures and -philosophies;
2. understand the interaction of business processes;
3. come to a selection decision for an ERP system using a structured approach and compare different ERP sy-
stems;
4. execute business tasks and processes in an ERP system independently (after participation in the practice les-
sons).",V (2) + Ü (2),"a) Written examination (approx. 60 minutes) or
b) oral examination (one candidate each: approx. 10 to 15 minutes, groups of 2: approx. 20 minutes, groups of 3:
approx. 30 minutes) or
c) Term paper (15 to 20 pages) or
Creditable for bonus
Language of assessment: German and/or English
Assessment offered: Once a year, summer semester","20 places.
Should the number of applications exceed the number of available places, places will be allocated as follows:
(1) Master's students of Information Systems will be given preferential consideration.
(2) The remaining places will be allocated to students of other subjects.
(3) When places are allocated in accordance with (1) and (2) and the number of applications exceeds the number
of available places, places will be allocated by lot among applicants from this group.",--,150 h,--,--
Advanced Seminar: Enterprise Systems,12-M-ES-161-m01,Faculty of Business Management and Economics,Holder of the Chair of Business Management and Business,10,numerical grade,1 semester,graduate,"In this course, students will acquire important knowledge and skills that will enable them to prepare a well-struc-
tured term paper and to present the results of their work with the help of relevant topics in the fields of informati-
on systems and enterprise systems.
Reading:
will vary according to topic","After completing the course ""Enterprise Systems"", students will be able to
1. understand the fundamentals of scientific literature reviews;
2. integrate elaborated content in a scientific thesis;
3. create presentations independently.",S (2),"term paper (approx. 20 to 25 pages) and presentation (approx. 20 minutes), weighted 2:1
Language of assessment: German and/or English","20 places. (1) Should the number of applications exceed the number of available places, places will be allocated
by lot among all applicants irrespective of their subjects. (2) Places on all courses of the module with a restricted
number of places will be allocated in the same procedure. (3) A waiting list will be maintained and places re-allo-
cated by lot as they become available.",--,300 h,--,--
Decision Support Systems,12-M-DSS-192-m01,Faculty of Business Management and Economics,Holder of the Chair of Business Analytics,5,numerical grade,1 semester,graduate,"The course discusses advanced approaches for modelling and solving decision problems in business settings.
The acquired insights are used to design and implement decision support systems using standard software tools
(Python).","After successfully completing the course, students should be able to
• Understand the structure of classic business decision problems
• Isolate key elements from general problem descriptions and convert them to quantitative decision models
• Solve different classes of optimization problems (linear, network, integer, multi-objective, non-linear,
stochastic)
• Implement decision support systems",V (2) + Ü (2),"a) Written examination (approx. 60 minutes) or
b) oral examination (one candidate each: approx. 10 to 15 minutes, groups of 2: approx. 20 minutes, groups of 3:
approx. 30 minutes)
Creditable for bonus
Language of assessment: German and/or English","40 places.
Should the number of applications exceed the number of available places, places will be allocated as follows:
(1) Master's students of Information Systems will be given preferential consideration.
(2) The remaining places will be allocated to students of other subjects.
(3) When places are allocated in accordance with (1) and (2) and the number of applications exceeds the number
of available places, places will be allocated by lot among applicants from this group.",--,150 h,--,--
Analytical Information Systems,12-BI-192-m01,Faculty of Business Management and Economics,Holder of the Chair of Business Analytics,5,numerical grade,1 semester,graduate,"The course provides an overview of the structure and applications of analytical information systems. A special fo-
cus is on individual quantitative methods of data analysis. On the one hand, methods from the areas of data pre-
paration and data manipulation as well as their practical application are introduced. On the other hand, an intro-
duction to methods and the application of machine learning methods for predictive analytics, in particular neural
networks and deep learning, is given.","The module provides students with knowledge of:
• Data Manipulation
• Data Engineering
• Descriptive Analytics
• Predictive Analytics and Data Mining
• Supervised Learning
• Unsupervised Learning
• Neural Networks and Deep Learning
• Text Mining
• Big Data Technologies",V (2) + Ü (2),"Written examination (approx. 60 Minutes)
Creditable for bonus
Language of assessment: German and/or English","40 places.
WM1:
Should the number of applications exceed the number of available places, places will be allocated as follows:
1) Master's students of Information Systems will be given preferential consideration.
(2) The remaining places will be allocated to students of other subjects.
(3) When places are allocated in accordance with (1) and (2) and the number of applications exceeds the number
of available places, places will be allocated by lot among applicants from this group.",--,150 h,--,--
Business Analytics,12-M-BUA-161-m01,Faculty of Business Management and Economics,Holder of the Chair of Business Analytics,10,numerical grade,1 semester,graduate,"In this course, students will acquire important knowledge and skills that will enable them to prepare a well-struc-
tured term paper and to present the results of their work with the help of relevant topics in the field of business
management decision models and methods and their application in the development of decision-support sy-
stems as well as analytical information systems and quantitative methods of data analysis.
Students work on current topics using methods from machine learning, mathematical optimization and simulati-
on.","The module provides students with knowledge of:
• Scientific literature
• Implementation of methods in code
• Integration of developed results in scientific papers
• Creating presentations and lectures",S (2),"term paper (approx. 20 to 25 pages) and presentation (approx. 20 minutes), weighted 2:1
Assessment offered: Once a year, winter semester
Language of assessment: German and/or English","20 places. (1) Should the number of applications exceed the number of available places, places will be allocated
by lot among all applicants irrespective of their subjects. (2) Places on all courses of the module with a restricted
number of places will be allocated in the same procedure. (3) A waiting list will be maintained and places re-allo-
cated by lot as they become available.",--,300 h,--,--
E-Business Strategies,12-M-IBS-192-m01,Faculty of Business Management and Economics,Holder of the Chair of Information Systems Engineering,5,numerical grade,1 semester,graduate,"The module provides an overview of strategic implications of digital technologies at the level of organisations,
industries and value networks. To this end, concepts and frameworks from strategic technology management are
applied to digital innovations and illustrated with numerous examples. In the accompanying exercise, case stu-
dies of well-known digital companies and their business models are analysed and discussed.","- Understand theoretical concepts of strategy development and implementation in the context of digital techno-
logies.
- Apply different frames of reference and understand their strengths and weaknesses in the context of practical
application.
- Transfer the concepts to real business situations",V (2) + Ü (2),"a) Written examination (approx. 60 minutes) or
b) oral examination (one candidate each: approx. 10 to 15 minutes, groups of 2: approx. 20 minutes, groups of 3:
approx. 30 minutes) or
Creditable for bonus
Language of assessment: German and/or English","40 places.
Should the number of applications exceed the number of available places, places will be allocated as follows:
(1) Master's students of Information Systems will be given preferential consideration.
(2) The remaining places will be allocated to students of other subjects.
(3) When places are allocated in accordance with (1) and (2) and the number of applications exceeds the number
of available places, places will be allocated by lot among applicants from this group.",--,150 h,--,--
Mobile and Ubiquitous Systems,12-M-MUS-161-m01,Faculty of Business Management and Economics,Holder of the Chair of Information Systems Engineering,5,numerical grade,1 semester,graduate,"The module provides an overview of technologies and business applications of mobile & ubiquitous computing.
Concepts and applications are illustrated using numerous examples from mobile telecommunications to the In-
ternet of Things. In the accompanying exercise, corresponding case study texts are analysed and discussed.","- Understand the technological basics of mobile & ubiquitous computing.
- Analysing business applications in processes, products/services and business models
- Apply the concepts learned to real-life problems in a business context",Ü (2) + V (2),"a) written examination (approx. 60 minutes) or b) oral examination (one candidate each: approx. 15 to 20 minu-
tes; groups of 2: approx. 20 minutes; groups of 3: approx. 30 minutes)
Language of assessment: German and/or English
creditable for bonus",--,--,150 h,--,--
Seminar: E-Business Strategies,12-M-SEBS-161-m01,Faculty of Business Management and Economics,Holder of the Chair of Information Systems Engineering,10,numerical grade,1 semester,graduate,"In this course, students will acquire important knowledge and skills that will enable them to prepare a well-struc-
tured term paper and to present the results of their work with the help of relevant topics in the fields of web-ba-
sed platforms (electronic markets, Web 2.0 etc.) and strategic management of a company.","- Academic literature review
- Integration of developed results in scientific papers
- Creating presentations and talks",S (2),"term paper (approx. 20 to 25 pages) and presentation (approx. 20 minutes), weighted 2:1
Assessment offered: Once a year, winter semester
Language of assessment: German and/or English","20 places. (1) Should the number of applications exceed the number of available places, places will be allocated
by lot among all applicants irrespective of their subjects. (2) Places on all courses of the module with a restricted
number of places will be allocated in the same procedure. (3) A waiting list will be maintained and places re-allo-
cated by lot as they become available.",--,300 h,--,--
Corporate Entrepreneurship,12-M-UGF1-182-m01,Faculty of Business Management and Economics,Holder of the Chair of Entrepreneurship and Strategy,5,numerical grade,1 semester,graduate,"This module is a theory-led and practice-oriented primer on corporate entrepreneurship. It provides you with
knowledge useful for anyone aiming at working (or researching) in the field of corporate innovation and entrepre-
neurship or at pursuing an ‘intrapreneurial’ or entrepreneurial career.
(1) Introduction to corporate entrepreneurship
(2) Antecedents and forms of corporate entrepreneurship
(3) Corporate strategy and corporate entrepreneurship
(4) Organizational structure and corporate entrepreneurship
(5) Human resource management and corporate entrepreneurship
(6) Building supportive organizational cultures
(7) Entrepreneurial control systems
(8) Entrepreneurial leadership
(9) The corporate entrepreneur as a champion and diplomat
(10) The pay-off from corporate entrepreneurship
(11) Corporate venture capital
(12) Corporate entrepreneurship in nonprofit and government organizations
(13) Universities and academic spin-offs
(14) Wrap-up and Q&A","Educational aims
• Clarify the role of corporate entrepreneurship
• Explain theoretical concepts and mechanisms behind corporate entrepreneurship
• Enable students to critically appraise alternative approaches to corporate entrepreneurship
• Enable students to evaluate the boundaries and risks of corporate entrepreneurship
Learning outcomes
On successful completion of this module students will be able to:
• Create and evaluate concepts related to corporate entrepreneurship
• Assess the role of corporate entrepreneurship for creating and sustaining competitive advantage
• Make judgements about the organizational and managerial implications of corporate entrepreneurship
• Systematically choose between different routes of action","V (2) + Ü (2)
Module taught in: English","a) written examination (approx. 60 to 120 minutes) or b) term paper (15 to 20 pages) or c) oral examination of
one candicate each (approx. 10 to 15 minutes) or oral examination in groups (groups of 2 approx. 20 minutes,
groups of 3 approx. 30 minutes)
Language of assessment: English",--,--,150 h,--,--
Digital Entrepreneurship,12-M-UGF3-182-m01,Faculty of Business Management and Economics,Holder of the Chair of Entrepreneurship and Strategy,5,numerical grade,1 semester,graduate,"This module provides an introduction into digital entrepreneurship and digital transformation. (1) Introduction
(2) Digital business models (3) Identifying and exploiting opportunities for digital entrepreneurship (4) Strategies
for creating competitive advantage in digital entrepreneurship (5) Digital marketing for entrepreneurs (6) Crowd-
funding for entrepreneurs (7) Design thinking (8) Lean startup (9) Platform ecosystems and online communities
(10) Digital strategy and digital transformation (11) The agile organization (12) Crowdsourcing (13) Cyberfraud (14)
Wrap-up and Q&A","Educational aims: Clarify the role of digital entrepreneurship and digital transformation. Explain theoretical con-
cepts and mechanisms behind digital entrepreneurship and digital transformation. Enable students to critically
appraise alternative approaches to digital entrepreneurship and digital transformation. Enable students to eva-
luate the boundaries and risks of digital entrepreneurship and digital transformation
Learning outcomes: On successful completion of this module students will be able to (1) Assess the role of di-
gital entrepreneurship and digital transformation for creating and sustaining competitive advantage, (2) Crea-
te and evaluate concepts related to digital entrepreneurship and digital transformation, (3) Make judgements
about the organizational and managerial implications of digital entrepreneurship and digital transformation, (4)
Systematically choose between different routes of action.","V (2) + Ü (2)
Module taught in: English","a) written examination (approx. 60 to 120 minutes) or b) log (15 to 20 pages) or c) oral examination (one candida-
te each: approx. 10 to 15 minutes; groups of 2: approx. 20 minutes; groups of 3: approx. 30 minutes)
Language of assessment: English",--,--,150 h,--,--
Advanced Seminar: Entrepreneurship and Management,12-M-SAS-182-m01,Faculty of Business Management and Economics,Holder of the Chair of Entrepreneurship and Strategy,10,numerical grade,1 semester,graduate,"Students develop seminar papers on varying topics in the domain of entrepreneurship, strategy, and innovation
and present the key insights from their work.","Educational aims
• Enable students to position their research
• Enable students to critically review a substantial body of literature in short time
• Enable students to develop a sound theoretical framework
• Enable students to create a research paper fully meeting academic standards
Learning outcomes
On successful completion of this module students will be able to:
• Differentiate their research from previous work
• Adopt theoretical perspectives to understand complex phenomena
• Engage in comprehensive academic reasoning
• Articulate abstract and complex phenomena and relationships in written and oral form",S (2),"term paper (approx. 20 pages) and presentation (15 to 30 minutes), weighted 2:1
Assessment offered: Once a year, winter semester
Language of assessment: German and/or English","20 places. (1) Should the number of applications exceed the number of available places, places will be allocated
by lot among all applicants irrespective of their subjects. (2) Places on all courses of the module with a restricted
number of places will be allocated in the same procedure. (3) A waiting list will be maintained and places re-allo-
cated by lot as they become available.",--,300 h,--,--
Global Logistics & Supply Chain Management,12-M-GLSC-182-m01,Faculty of Business Management and Economics,Holder of the Chair of Logistics and Quantitative Methods,5,numerical grade,1 semester,graduate,"The course ""Global Logistics & Supply Chain Management"" acquaints students with advanced methods for the
planning of global production networks and demonstrates the application of these with the help of multiple case
studies.","After completing this course students can
(i) analyze and evaluate global production networks;
(ii) develop and apply appropriate methods to plan production networks;
(iii) evaluate the consequences of uncertainties in processes and apply concepts and methods to plan uncertain
processes.","V (2) + Ü (2)
Module taught in: English","a) written examination (approx. 60 minutes) or b) term paper (approx. 15 to 20 pages)
Language of assessment: English
creditable for bonus",--,--,150 h,--,--
Advanced Operations & Logistics Management,12-M-AOLM-182-m01,Faculty of Business Management and Economics,Holder of the Chair of Logistics and Quantitative Methods,5,numerical grade,1 semester,graduate,"The course ""Advanced Operations & Logistics Management"" acquaints students with advanced methods for the
planning of integrated production and logistics systems and demonstrates the application of these with the help
of multiple case studies","After completing this course students can
(i) analyze and evaluate integrated production and logistics systems;
(ii) develop and apply appropriate methods to plan complex production and logistics systems;
(iii) evaluate the consequences of uncertainties in processes, and
(iv) apply concepts and methods to plan uncertainties processes.","V (2) + Ü (2)
Module taught in: English","a) written examination (approx. 60 minutes) or b) term paper (approx. 15 to 20 pages)
Language of assessment: English
creditable for bonus",--,--,150 h,--,--
Seminar: Operations Management,12-M-SN-161-m01,Faculty of Business Management and Economics,Holder of the Chair of Business Management and Business,10,numerical grade,1 semester,graduate,"With the help of topics from the area of ""Operations Management"", this course will provide students with know-
ledge and skills that will enable them to prepare a well-structured term paper and to present the key results of
their work.","Students will learn how to convince a critical audience by giving a presenation regarding a topic from the area
of Operations Management. By developing and giving a presentation as well as by answering questions the stu-
dents will practice their skills to deal with difficult communication situations and to argument for and against a
certain topic.",S (2),"term paper (approx. 20 to 25 pages) and presentation (approx. 20 minutes), weighted 2:1
Assessment offered: Once a year, winter semester
Language of assessment: German and/or English",--,--,300 h,--,--
Adaption and Continuous System Engineering,12-ACSE-161-m01,Faculty of Business Management and Economics,holder of the Chair of Business Management and Business,5,numerical grade,1 semester,graduate,"Business Suite: The constantly changing environment with its organisational and IT-oriented developments
forces companies to adapt their standard business software solutions. With the help of dynamic adaptation
(Continuous System Engineering), this process of change can be supported effectively and efficiently. This mo-
dule discusses both the systematic implementation of adaptation steps (so-called customising) using the exam-
ple of the mySAP Business Suite and the concept of Continuous System Engineering using various practical ex-
amples. Business Apps: The course combines theory and practice in the area of cloud computing and ERP. Par-
ticipants gain an insight into the architecture of the ByDesign platform and are presented with an opportunity to
gain practical experience working with the corresponding software development kit.
Content:
• Fundamentals of cloud computing
• Cloud business solutions
• Architecture of the SAP Business ByDesign platform
• Platform adaption and extensibility
• Basics of software development in SAP Cloud Applications Studio
• Hands-on SDK: independently designing and developing a demo app","Business Suite: Students learn about the various ways of adapting a standard business software solution to the
special requirements of a company. They also develop a fundamental understanding of the dynamic adaptation
of business software libraries. Based on selected examples from the SAP Business Suite that the acquired know-
ledge will be deepened by using case studies. Business Apps: The course imparts knowledge and delivers skills
in cloud computing for businesses, ERP systems architecture and software development at the example of the
SAP Business ByDesign platform. The independent planning, implementation and documentation of a business
app trains important core competencies of technology-oriented Business Informatics.",V (2) + Ü (2),"a) written examination (approx. 60 minutes) or b) term paper (approx. 20 pages) or c) oral examination (one can-
didate each: approx. 10 to 15 minutes; groups of 2: approx. 20 minutes; groups of 3: approx. 30 minutes)
Language of assessment: German and/or English
creditable for bonus","20 places. (1) Should the number of applications exceed the number of available places, places will be allocated
by lot among all applicants irrespective of their subjects. (2) Places on all courses of the module with a restricted
number of places will be allocated in the same procedure. (3) A waiting list will be maintained and places re-allo-
cated by lot as they become available.",--,150 h,--,--
Business Service Platforms 2,12-AGP2-192-m01,Faculty of Business Management and Economics,Holder of the Chair of Business Management and Business,5,numerical grade,1 semester,graduate,"The next generation of business service platforms leads to a transformation of traditional industrial enterprises
into service businesses that generate a large proportion of value in developed economies. New ICT technologies
such as cloud computing, the Internet of Things and semantic technologies will contribute to the success of the-
se businesses in a similar way as ERP contributed to the success of industrial enterprises. But we are still at the
beginning of the evolution of business service platforms, which will have to become more adaptable to support
special business models and allow differentiating customer service processes.
The course will discuss different case studies on services businesses. The digital transformation of the software
industry into a service industry is the most prominent of these case.","Be aware of the growing economic importance of the service sector. Understand that services businesses in are
facing a special productivity problem, which could not be adressed by the same processes applied in the ma-
nufacturing industries. Understand the new ICT technologies we have at hand today to deliver smart solutions
for this problem. Be aware of the diversity of services business today where we have no evidence that a general
standard can be found applicable to most subsectors similar to the standardization achieved for the manufactu-
ring industries after twenty years of research.",V (2),"Written examination (approx. 60 minutes)
Creditable for bonus
Language of assessment: German and/or English","40 places.
Should the number of applications exceed the number of available places, places will be allocated as follows:
(1) Master's students of Information Systems will be given preferential consideration.
(2) The remaining places will be allocated to students of other subjects.
(3) When places are allocated in accordance with (1) and (2) and the number of applications exceeds the number
of available places, places will be allocated by lot among applicants from this group.",--,150 h,--,"--
_x000C_"
Business Service Platforms 1,12-BSA-192-m01,Faculty of Business Management and Economics,Holder of the Chair of Business Management and Business,5,numerical grade,1 semester,graduate,"A next generation of enterprise systems called business service platforms is emerging using new disruptive tech-
nologies such as cloud computing, big data and mobility. These business service platforms apply the concept of
product platforms to software. They will
1. be services based
2. be offered as a service in the cloud
3. address new classes of users and types of business especially in the service business
4. allow for a high degree of business adaptability and extensibility.
5. be supplemented by a broad offer of partner add-ons supporting accelerated innovation.
These new business service platforms will play a key role in the digital transformation of the software industry.","Be aware of the big business productivity progress enabled by BIS in the last 50 years. Understand the limitati-
ons of these systems in spite of the digital transformation of the software industry ahead. Be able to critically as-
sess the business potential of new IC technologies. Understand the business demand for change. Understand
the necessary organizational learning needed to leverage new technology for business change management.",V (2),"Written examination (approx. 60 minutes)
Creditable for bonus
Language of assessment: German and/or English","40 places.
Should the number of applications exceed the number of available places, places will be allocated as follows:
(1) Master's students of Information Systems will be given preferential consideration.
(2) The remaining places will be allocated to students of other subjects.
(3) When places are allocated in accordance with (1) and (2) and the number of applications exceeds the number
of available places, places will be allocated by lot among applicants from this group.",--,150 h,--,--
Abbreviation,"Business Processes Organisation, Business Software and Process Industries",Faculty of Business Management and Economics,holder of the Chair of Business Management and Business,5,numerical grade,1 semester,graduate,"ERP systems have become key elements of successful companies. Business processes in companies can no lon-
ger be managed without using such ERP systems. In financial departments of companies, such systems have be-
en used for a long time, but business processes e. g. for logistical tasks have so far not been supported by ERP
solutions. This module explains how this issue could be resolved as well as what constraints and what depen-
dencies have to be considered.","After completing this module, students should be able to
(i) know about actual business processes in companies;
(ii) understand selected problems in the organization and design of logistical business processes and work out
solutions;
(iii) know and design basic data structures and data flows of an ERP system;
(iv) map businesss processes within an ERP system;
(v) consider the specifics of a certain industry (e. g. the process industry) when organizing business processes;
(vi) map the core business processes within an ERP system.",V (2) + Ü (2),"written examination (approx. 60 minutes)
Language of assessment: German and/or English
creditable for bonus","20 places. (1) Should the number of applications exceed the number of available places, places will be allocated
by lot among all applicants irrespective of their subjects. (2) Places on all courses of the module with a restricted
number of places will be allocated in the same procedure. (3) A waiting list will be maintained and places re-allo-
cated by lot as they become available.",--,150 h,--,--
Work and Information,12-ITA-161-m01,Faculty of Business Management and Economics,holder of the Chair of Business Management and Business,5,numerical grade,1 semester,graduate,"This module discusses relevant principles, concepts and applications of business information processing and its
impact on organisational and process structures in today's business world.","The expertise gained from other modules related to business management issues can be interpreted and clas-
sified in a certain way by participating in this module. For decisions in regards to human resources planning, in-
vestment, and a company's strategy, the students will get to know all the relevant concepts and interdependen-
cies, which come with taking information processing into account as the so called ""fourth"" factor of production.",V (2),"a) written examination (approx. 60 minutes) or b) oral examination (one candidate each: approx. 15 to 20 minu-
tes; groups of 2: approx. 20 minutes; groups of 3: approx. 30 minutes)
Language of assessment: German and/or English",--,--,150 h,--,--
Work Order Planning for Automated Manufacturing,12-M-AGAF-161-m01,Faculty of Business Management and Economics,Holder of the Chair of Business Management and Business,5,numerical grade,1 semester,graduate,"The idea of integration of business information systems is primarily practiced and developed as an ERP system
in terms of business application areas, their temporal overlap (data warehouse), their spatial relationship (sup-
ply network) and connection of legal tasks (eGovernment). However, linking the commercial view of incoming cu-
stomer orders with the logistic or more technical view of the scheduling of production orders and the resulting
consequences for the processes is a critical success factor.","Linking research and lectures of the Institute of Robotics and Telematics as well as the orientation of the Chair of
Business Integration allows students a conceptual as well as practical insight into the challenges of this in the
future essential part of the operational automation development.",V (2) + Ü (2),"written examination (approx. 60 minutes)
Language of assessment: German and/or English",--,--,150 h,--,--
Topics in Business Information Systems 1,12-M-ATW1-161-m01,Faculty of Business Management and Economics,Holder of the Chair of Business Management and Business,5,numerical grade,1 semester,graduate,"This course is a dummy module, e. g. for courses in the area of business informatics taken abroad.","The competences depend on the individual module, which has been taken to transfer these credits to the Univer-
sity of Wuerzburg.","V (2) + Ü (2)
Course type: alternatively S instead of V + Ü","a) written examination (approx. 60 minutes) or b) presentation (15 to 20 minutes) and written elaboration (ap-
prox. 20 pages), weighted 1:2 or c) oral examination (one candidate each: approx. 10 to 15 minutes; groups of 2:
approx. 20 minutes; groups of 3: approx. 30 minutes)
Language of assessment: German and/or English
creditable for bonus",--,--,150 h,--,--
Topics in Business Information Systems 2,12-M-ATW2-161-m01,Faculty of Business Management and Economics,Holder of the Chair of Business Management and Business,5,numerical grade,1 semester,graduate,"This course is a dummy module, e. g. for courses in the area of business informatics taken abroad.","The competences depend on the individual module, which has been taken to transfer these credits to the Univer-
sity of Wuerzburg.","V (2) + Ü (2)
Course type: alternatively S instead of V + Ü","a) written examination (approx. 60 minutes) or b) presentation (15 to 20 minutes) and written elaboration (ap-
prox. 20 pages), weighted 1:2 or c) oral examination (one candidate each: approx. 10 to 15 minutes; groups of 2:
approx. 20 minutes; groups of 3: approx. 30 minutes)
Language of assessment: German and/or English
creditable for bonus",--,--,150 h,--,--
Information systems research,12-M-ISR-192-m01,Faculty of Business Management and Economics,Holder of the Chair of Business Management and Business,5,numerical grade,1 semester,graduate,"The course provides an overview of theoretical scientific foundations, theories, research topics and methods of
international research in business informatics.","The module provides students with knowledge of:
(i) Exploration of classical themes of WI / IS research;
(ii) Getting to know the relevant paradigms, theories and methods;
(iii) Recognition of the interfaces to other areas of business administration and management practice;
(iv) Gain experience in finding and evaluation of scientific literature",V (2) + Ü (2),"a) Written examination (approx. 60 minutes) or
b) oral examination (one candidate each: approx. 15 to 20 minutes, groups of 2: approx. 20 minutes, groups of 3:
approx. 30 minutes)
Creditable for bonus
Language of assessment: German and/or English","40 places.
Should the number of applications exceed the number of available places, places will be allocated as follows:
(1) Master's students of Information Systems will be given preferential consideration.
(2) The remaining places will be allocated to students of other subjects.
(3) When places are allocated in accordance with (1) and (2) and the number of applications exceeds the number
of available places, places will be allocated by lot among applicants from this group.",--,150 h,--,--
Databases 2,10-I=DB2-161-m01,Institute of Computer Science,Dean of Studies Informatik (Computer Science),5,numerical grade,1 semester,graduate,Data warehouses and data mining; web databases; introduction to Datalog.,"The students have advanced knowledge about relational databases, XML and data mining.",V (2) + Ü (2),"written examination (approx. 60 to 120 minutes).
If announced by the lecturer at the beginning of the course, the written examination may be replaced by an oral
examination of one candidate each (approx. 20 minutes) or an oral examination in groups of 2 candidates (ap-
prox. 15 minutes per candidate).
Language of assessment: German and/or English
creditable for bonus",--,"Focuses available for students of the Master's programme Informatik (Computer Science, 120 ECTS credits): SE,
IS, HCI.",150 h,--,--
Compiler Construction,10-I=CB-161-m01,Institute of Computer Science,holder of the Chair of Computer Science II,5,numerical grade,1 semester,graduate,"Lexical analysis, syntactic analysis, semantics, compiler generators, code generators, code optimisation.","The students possess knowledge in the formal description of programming languages and their compilation.
They are able to perform transformations between them with the help of finite automata, push-down automata
and compiler generators.",V (2) + Ü (2),"written examination (approx. 60 to 120 minutes).
If announced by the lecturer at the beginning of the course, the written examination may be replaced by an oral
examination of one candidate each (approx. 20 minutes) or an oral examination in groups of 2 candidates (ap-
prox. 15 minutes per candidate).
Language of assessment: German and/or English
creditable for bonus",--,"Focuses available for students of the Master's programme Informatik (Computer Science, 120 ECTS credits):
SE,IT,IS,GE",150 h,--,--
Information Retrieval,10-I=IR-161-m01,Institute of Computer Science,Dean of Studies Informatik (Computer Science),5,numerical grade,1 semester,graduate,"IR models (e. g. Boolean and vector space model, evaluation), processing of text (tokenising, text properties),
data structures (e. g. inverted index), query elements (e. g. query operations, relevance feedback, query langua-
ges and paradigms, structured queries), search engine (e. g. architecture, crawling, interfaces, link analysis), me-
thods to support IR (e. g. recommendation systems, text clustering and classification, information extraction).","The students possess theoretical and practical knowledge in the area of information retrieval and have acquired
the technical know-how to create a search engine.",V (2) + Ü (2),"written examination (approx. 60 to 120 minutes).
If announced by the lecturer at the beginning of the course, the written examination may be replaced by an oral
examination of one candidate each (approx. 20 minutes) or an oral examination in groups of 2 candidates (ap-
prox. 15 minutes per candidate).
Language of assessment: German and/or English
creditable for bonus",--,"Focuses available for students of the Master's programme Informatik (Computer Science, 120 ECTS credits):
IT,IS,HCI,GE",150 h,--,--
Artificial Intelligence 1,10-I=KI1-161-m01,Institute of Computer Science,holder of the Chair of Computer Science VI,5,numerical grade,1 semester,graduate,"Intelligent agents, uninformed and heuristic search, constraint problem solving, search with partial information,
propositional and predicate logic and inference, knowledge representation.","The students possess theoretical and practical knowledge about artificial intelligence in the area of agents,
search and logic and are able to assess possible applications.",V (2) + Ü (2),"written examination (approx. 60 to 120 minutes).
If announced by the lecturer at the beginning of the course, the written examination may be replaced by an oral
examination of one candidate each (approx. 20 minutes) or an oral examination in groups of 2 candidates (ap-
prox. 15 minutes per candidate).
Language of assessment: German and/or English
creditable for bonus",--,"Focuses available for students of the Master's programme Informatik (Computer Science, 120 ECTS credits):
AT,SE,IS,HCI",150 h,--,--
Artificial Intelligence 2,10-I=KI2-161-m01,Institute of Computer Science,holder of the Chair of Computer Science VI,5,numerical grade,1 semester,graduate,"Planning, probabilistic closure and Bayesian networks, utility theory and decidability problems, learning from
observations, knowledge while learning, neural networks and statistical learning methods, reinforcement lear-
ning, processing of natural language.","The students possess theoretical and practical knowledge about artificial intelligence in the area of probabilistic
closure, learning and language processing and are able to assess possible applications.",V (2) + Ü (2),"written examination (approx. 60 to 120 minutes).
If announced by the lecturer at the beginning of the course, the written examination may be replaced by an oral
examination of one candidate each (approx. 20 minutes) or an oral examination in groups of 2 candidates (ap-
prox. 15 minutes per candidate).
Language of assessment: German and/or English
creditable for bonus",--,"Focuses available for students of the Master's programme Informatik (Computer Science, 120 ECTS credits):
AT,SE,IS,HCI,GE",150 h,--,--
E-Learning,10-I=EL-161-m01,Institute of Computer Science,holder of the Chair of Computer Science VI,5,numerical grade,1 semester,graduate,"Learning paradigms, learning system types, author systems, learning platforms, standards for learning systems,
intelligent tutoring systems, student models, didactics, problem-oriented learning and case-based training sy-
stems, adaptive tutoring systems, computer-supported cooperative learning, evaluation of learning systems.","The students possess a theoretical and practical knowledge about eLearning and are able to assess possible ap-
plications.",V (2) + Ü (2),"written examination (approx. 60 to 120 minutes).
If announced by the lecturer at the beginning of the course, the written examination may be replaced by an oral
examination of one candidate each (approx. 20 minutes) or an oral examination in groups of 2 candidates (ap-
prox. 15 minutes per candidate).
Language of assessment: German and/or English
creditable for bonus",--,"Focuses available for students of the Master's programme Informatik (Computer Science, 120 ECTS credits):
SE,IT,IS,HCI,GE",150 h,--,--
Analysis and Design of Programs,10-I=PA-161-m01,Institute of Computer Science,holder of the Chair of Computer Science II,5,numerical grade,1 semester,graduate,"Program analysis, model creation in software engineering, program quality, test of programs, process models.","The students are able to analyse programs, to use testing frameworks and metrics as well as to judge program
quality.",V (2) + Ü (2),"written examination (approx. 60 to 120 minutes).
If announced by the lecturer at the beginning of the course, the written examination may be replaced by an oral
examination of one candidate each (approx. 20 minutes) or an oral examination in groups of 2 candidates (ap-
prox. 15 minutes per candidate).
Language of assessment: German and/or English
creditable for bonus",--,"Focuses available for students of the Master's programme Informatik (Computer Science, 120 ECTS credits):
SE,IS,ES,GE",150 h,--,--
Professional Project Management,10-I=PM-182-m01,Institute of Computer Science,holder of the Chair of Computer Science III,5,numerical grade,1 semester,graduate,"Project goals, project assignment, project success criteria, business plan, environment analysis and stakeholder
management, initialisation, definition, planning, execution/control, finishing of projects, reporting, project com-
munication and marketing, project organisation, team building and development, opportunity and risk manage-
ment; conflict and crisis management, change and claim management; contract and procurement management,
quality management, work techniques, methods and tools; leadership and social skills in project management,
program management, multiproject management, project portfolio management, PMOs; peculiarities of software
projects; agile project management/SCRUM, combination of classic and agile methods.","The students possess practically relevant knowledge about the topics of production management and/or pro-
fessional project management. They are familiar with the critical success criteria and are able to initiate, define,
plan, control and review projects.",V (4),"written examination (approx. 60 to 120 minutes).
If announced by the lecturer at the beginning of the course, the written examination may be replaced by an oral
examination of one candidate each (approx. 20 minutes) or an oral examination in groups of 2 candidates (ap-
prox. 15 minutes per candidate).
Language of assessment: German and/or English
creditable for bonus",--,"Focuses available for students of the Master's programme Informatik (Computer Science, 120 ECTS credits): SE,
IT, IS, ES, LR, HCI, GE.",150 h,--,--
Algorithms for Geographic Information Systems,10-I=AGIS-161-m01,Institute of Computer Science,holder of the Chair of Computer Science I,5,numerical grade,1 semester,graduate,"Algorithmic foundations of geographic information systems and their application in selected problems of acqui-
sition, processing, analysis and presentation of spatial information. Processes of discrete and continuous opti-
misation. Applications such as the creation of digital height models, working with GPS trajectories, tasks of spa-
tial planning as well as cartographic generalisation.","The students are able to formalise algorithmic problems in the field of geographic information systems as well as
to select and improve suitable approaches to solving these problems.",V (2) + Ü (2),"written examination (approx. 60 to 120 minutes).
If announced by the lecturer at the beginning of the course, the written examination may be replaced by an oral
examination of one candidate each (approx. 20 minutes) or an oral examination in groups of 2 candidates (ap-
prox. 15 minutes per candidate).
Language of assessment: German and/or English
creditable for bonus",--,"Focuses available for students of the Master's programme Informatik (Computer Science, 120 ECTS credits):
AT,IS,HCI",150 h,--,--
Real-Time Interactive Systems,10-HCI=RIS-182-m01,Institute of Computer Science,holder of the Chair of Computer Science IX,5,numerical grade,1 semester,graduate,"This course provides an introduction into the requirements, concepts, and engineering art of highly interactive
human-computer systems. Such systems are typically found in perceptual computing, Virtual, Augmented, Mixed
Reality, computer games, and cyber-physical systems. Lately, these systems are often termed Real-Time Interac-
tive Systems (RIS) due to their common aspects.
The course covers theoretical models derived from the requirements of the application area as well as common
hands-on and novel solutions necessary to tackle and fulfill these requirements. The first part of the course will
concentrate on the conceptual principles characterizing real-time interactive systems. Questions answered are:
What are the main requirements? How do we handle multiple modalities? How do we define the timeliness of
RIS? Why is it important? What do we have to do to assure timeliness? The second part will introduce a concep-
tual model of the mission-critical aspects of time, latencies, processes, and events necessary to describe a sy-
stem's behavior. The third part introduces the application state, it's requirements of distribution and coherence,
and the consequences these requirements have on decoupling and software quality aspects in general. The last
part introduces some potential solutions to data redundancy, distribution, synchronization, and interoperability.
Along the way, typical and prominent state-of-the-art approaches to reoccurring engineering tasks are discussed.
This includes pipeline systems, scene graphs, application graphs (aka field routing), event systems, entity and
component models, and others. Novel concepts like actor models and ontologies will be covered as alternative
solutions. The theoretical and conceptual discussions will be put into a practical context of today's commercial
and research systems, e.g., X3D, instant reality, Unity3d, Unreal Engine 4, and Simulator X.","After the course, the students will have a solid understanding of the boundary conditions defined by both, the
physiological and psychological characteristics of the human users as well as by the architectures and technolo-
gical characteristics of today's computer systems. Participants will gain a solid understanding about what they
can expect from today's technological solutions. They will be able to choose the appropriate approach and tools
to solve a given engineering task in this application area and they will have a well-founded basis enabling them
to develop alternative approaches for future real-time interactive systems.",V (2) + Ü (2),"written examination (approx. 60 to 120 minutes).
If announced by the lecturer at the beginning of the course, the written examination may be replaced by an oral
examination of one candidate each (approx. 20 minutes) or an oral examination in groups of 2 candidates (ap-
prox. 15 minutes per candidate).
Language of assessment: German and/or English
creditable for bonus",--,"Focuses available for students of the Master's programme Informatik (Computer Science, 120 ECTS credits): HCI.
Cf. Section 3 Subsection 3 Sentence 8 FSB (subject-specific provisions).",150 h,--,--
Logic Programming,10-I=LP-172-m01,Institute of Computer Science,holder of the Chair of Computer Science I,5,numerical grade,1 semester,graduate,"Logic-relational programming paradigm, top-down evaluation with SLD(NF) resolution. Introduction to the logic
programming language Prolog: recursion, predicate-oriented programming, backtracking, cut, side effects, ag-
gregations. Connection to (deductive) databases. Comparison with Datalog, short introduction of advanced con-
cepts like constraint logic programming.","The students have fundamental and practicable knowledge of logic programming. They are able to implement
compact and declarative programs in Prolog, and to compare this approach to the traditional imperative pro-
gramming paradigm.",V (2) + Ü (2),"written examination (approx. 60 to 120 minutes).
If announced by the lecturer at the beginning of the course, the written examination may be replaced by an oral
examination of one candidate each (approx. 20 minutes) or an oral examination in groups of 2 candidates (ap-
prox. 15 minutes per candidate).
Language of assessment: German and/or English
creditable for bonus",--,"Focuses available for students of the Master's programme Informatik (Computer Science, 120 ECTS credits): AT,
SE, IT, IS.",150 h,--,--
Machine Learning for Natural Language Processing,10-I=NLP-182-m01,Institute of Computer Science,Dean of Studies Informatik (Computer Science),5,numerical grade,1 semester,graduate,"The lecture conveys advanced knowledge about methods in computational text processing. To this end, it pres-
ents state of the art models and techniques in the area of machine learning, as well as their technical back-
ground, and their respective applications in Natural Language Processing. As one important building block of
almost all modern NLP-models, different techniques for learning representations of words, so called Word Em-
beddings, are presented. Starting from this we cover, among others, models from the area of Deep Learning, li-
ke CNNs, RNNs and Sequence-to-Sequence architectures. The theoretical foundations of these models, like their
training with Backpropagation, are also covered in depth. For all models presented in the lecture, we show their
application to problems like sentiment analysis, text generation and machine translation in practice.","The participants have solid knowledge on problems and methods in the area of computational text processing
and are able to identify and apply suitable methods for a specific task.",V (2) + Ü (2),"written examination (approx. 60 to 120 minutes).
If announced by the lecturer at the beginning of the course, the written examination may be replaced by an oral
examination of one candidate each (approx. 20 minutes) or an oral examination in groups of 2 candidates (ap-
prox. 15 minutes per candidate).
Language of assessment: German and/or English
creditable for bonus",--,"Focuses available for students of the Master's programme Informatik (Computer Science, 120 ECTS credits): AT,
IS, HCI.",150 h,--,--
Medical Informatics,10-I=MI-161-m01,Institute of Computer Science,holder of the Chair of Computer Science VI,5,numerical grade,1 semester,graduate,"Electronic patient folder, coding of medical data, hospital information systems, operation of computers in infir-
mary and functional units, medical decision making and assistance systems, statistics and data mining in medi-
cal research, case-based training systems in medical training.","The students possess theoretical and practical knowledge about the application of computer science methods in
medicine.",V (2) + Ü (2),"written examination (approx. 60 to 120 minutes).
If announced by the lecturer at the beginning of the course, the written examination may be replaced by an oral
examination of one candidate each (approx. 20 minutes) or an oral examination in groups of 2 candidates (ap-
prox. 15 minutes per candidate).
Language of assessment: German and/or English
creditable for bonus",--,"Focuses available for students of the Master's programme Informatik (Computer Science, 120 ECTS credits):
SE,IT,IS,HCI,GE",150 h,--,--
Performance Engineering & Benchmarking of Computer Systems,10-I=PEB-161-m01,Institute of Computer Science,holder of the Chair of Computer Science II,5,numerical grade,1 semester,graduate,"Introduction to performance engineering of commercial software systems, performance measurement techni-
ques, benchmarking of commercial software systems, modelling for performance prediction, case studies.","The students possess a fundamental and applicable knowledge in the areas of performance metrics, measure-
ment techniques, multi-factorial variance analysis, data analysis with R, benchmark approaches, modelling with
queue networks, modelling methods, resource demand approximation, petri nets.",V (2) + Ü (2),"written examination (approx. 60 to 120 minutes).
If announced by the lecturer at the beginning of the course, the written examination may be replaced by an oral
examination of one candidate each (approx. 20 minutes) or an oral examination in groups of 2 candidates (ap-
prox. 15 minutes per candidate).
Language of assessment: German and/or English
creditable for bonus",--,"Focuses available for students of the Master's programme Informatik (Computer Science, 120 ECTS credits):
SE,IT,ES,HCI,GE",150 h,--,--
Programming with neural nets,10-I=PNN-182-m01,Institute of Computer Science,holder of the Chair of Computer Science VI,5,numerical grade,1 semester,graduate,"Overview over NN, implementation of important NN-architectures like FCN, CNN and LSTMs, practical example for
NN-architectures, among others in the area of image and language processing.","Knowledge about possible applications and limitations of NN, for important architectures (eg. FCN, CNN, LSTM)
and how they are implemented in NN-tools like Tensorflow/Keras, ability to program network structures from lite-
rature, to prepare data and solve concrete tasks for NN.",V (2) + Ü (2),"written examination (approx. 60 to 120 minutes).
If announced by the lecturer at the beginning of the course, the written examination may be replaced by an oral
examination of one candidate each (approx. 20 minutes) or an oral examination in groups of 2 candidates (ap-
prox. 15 minutes per candidate).
Language of assessment: German and/or English
creditable for bonus",--,"Focuses available for students of the Master's programme Informatik (Computer Science, 120 ECTS credits): SE,
IT, IS, HCI, GE.",150 h,--,--
Robotics 1,10-I=RO1-182-m01,Institute of Computer Science,holder of the Chair of Computer Science VII,8,numerical grade,1 semester,graduate,"History, applications and properties of robots, direct kinematics of manipulators: coordinate systems, rotations,
homogenous coordinates, axis coordinates, arm equation. Inverse kinematics: solution properties, end effec-
tor configuration, numerical and analytical approaches, examples of different robots for analytical approaches.
Workspace analysis and trajectory planning, dynamics of manipulators: Lagrange-Euler model, direct and inver-
se dynamics. Mobile robots: direct and inverse kinematics, propulsion system, tricycle, Ackermann steering, ho-
lonomes and non-holonome restrictions, kinematic classification of mobile robots, posture kinematic model.
Movement control and path planning: roadmap methods, cell decomposition methods, potential field methods.
Sensors: position sensors, speed sensors, distance sensors.","The students master the fundamentals of robot manipulators and vehicles and are, in particular, familiar with
their kinematics and dynamics as well as the planning of paths and task execution.","V (4) + Ü (2)
Module taught in: English","written examination (approx. 60 to 90 minutes)
Separate written examination for Master's students.
Language of assessment: English
creditable for bonus",--,"Focuses available for students of the Master's programme Informatik (Computer Science, 120 ECTS credits): IS,
ES, LR, HCI, GE.",240 h,--,--
Security of Software Systems,10-I=SSS-172-m01,Institute of Computer Science,holder of the Chair of Computer Science II,5,numerical grade,1 semester,graduate,"The lecture provides an overview of common software vulnerabilities, state-of-the-art attack techniques on mo-
dern computer systems, as well as the measures implemented to protect against these attacks. In the course,
the following topics are discussed:
• x86-64 instruction set architecture and assembly language
• Runtime attacks (code injection, code reuse, defenses)
• Web security
• Blockchains and smart contracts
• Side-channel attacks
• Hardware security","Students gain a deep understanding of software security, from hardware and low-level attacks to modern con-
cepts such as blockchains. The lecture prepares for research in the area of security and privacy, while the exerci-
ses allow students to gain hands-on experience with attacks and analysis of systems from an attacker's perspec-
tive.","V (2) + Ü (2)
Module taught in: English","written examination (approx. 60 to 120 minutes).
If announced by the lecturer at the beginning of the course, the written examination may be replaced by an oral
examination of one candidate each (approx. 20 minutes) or an oral examination in groups of 2 candidates (ap-
prox. 15 minutes per candidate).
Language of assessment: English
creditable for bonus",--,"Focuses available for students of the Master's programme Informatik (Computer Science, 120 ECTS credits): SE,
IS, LR, HCI, ES.
Basic programming knowledge in C is required.",150 h,--,--
Discrete Event Simulation,10-I=ST-161-m01,Institute of Computer Science,holder of the Chair of Computer Science III,8,numerical grade,1 semester,graduate,"Introduction to simulation techniques, statistical groundwork, creation of random numbers and random varia-
bles, random sample theory and estimation techniques, statistical analysis of simulation values, inspection of
measured data, planning and evaluation of simulation experiments, special random processes, possibilities and
limits of model creation and simulation, advanced concepts and techniques, practical execution of simulation
projects.","The students possess the methodic knowledge and the practical skills necessary for the stochastic simulation of
(technical) systems, the evaluation of results and the correct assessment of the possibilities and limits of simu-
lation methods.",V (4) + Ü (2),"written examination (approx. 60 to 120 minutes).
If announced by the lecturer at the beginning of the course, the written examination may be replaced by an oral
examination of one candidate each (approx. 20 minutes) or an oral examination in groups of 2 candidates (ap-
prox. 15 minutes per candidate).
Language of assessment: German and/or English
creditable for bonus",--,"Focuses available for students of the Master's programme Informatik (Computer Science, 120 ECTS credits):
IT,IS,ES,GE",240 h,--,--
Software Architecture,10-I=SAR-161-m01,Institute of Computer Science,holder of the Chair of Computer Science II,5,numerical grade,1 semester,graduate,Current topics in the area of aerospace.,"The students possess a fundamental and applicable knowledge about advanced topics in software engineering
with a focus on modern software architectures and fundamental approaches to model-driven software enginee-
ring.",V (2) + Ü (2),"written examination (approx. 60 to 120 minutes).
If announced by the lecturer at the beginning of the course, the written examination may be replaced by an oral
examination of one candidate each (approx. 20 minutes) or an oral examination in groups of 2 candidates (ap-
prox. 15 minutes per candidate).
Language of assessment: German and/or English
creditable for bonus",--,"Focuses available for students of the Master's programme Informatik (Computer Science, 120 ECTS credits):
SE,IT,ES",150 h,--,--
NLP and Text Mining,10-I=STM-162-m01,Institute of Computer Science,holder of the Chair of Computer Science VI,5,numerical grade,1 semester,graduate,"Foundations in the following areas: definition of NLP and text mining, properties of text, sentence boundary de-
tection, tokenisation, collocation, N-gram models, morphology, hidden Markov models for tagging, probabili-
stic parsing, word sense disambiguation, term extraction methods, information extraction, sentiment analysis.
The students possess theoretical and practical knowledge about typical methods and algorithms in the area of
text mining and language processing mostly for English. They are able to solve problems through the methods
taught. They have gained experience in the application of text mining algorithms.","The students possess theoretical and practical knowledge about typical methods and algorithms in the area of
text mining and language processing. They are able to solve practical problems with the methods acquired in
class. They have gained experience in the application of text mining algorithms.",V (2) + Ü (2),"written examination (approx. 60 to 120 minutes).
If announced by the lecturer at the beginning of the course, the written examination may be replaced by an oral
examination of one candidate each (approx. 20 minutes) or an oral examination in groups of 2 candidates (ap-
prox. 15 minutes per candidate).
Language of assessment: German and/or English",--,"Focuses available for students of the Master's programme Informatik (Computer Science, 120 ECTS credits): AT,
IT, HCI.",150 h,--,--
Project - Current Topics in Computer Science,10-I=PRJAK-162-m01,Institute of Computer Science,Dean of Studies Informatik (Computer Science),5,numerical grade,1 semester,graduate,Completion of a project task (in Teams).,The project allows participants to work on a problem in computer science in teams.,P (4),"project report (10 to 15 pages) and presentation of project (15 to 30 minutes)
Each project is offered one time only. The project will not be repeated; there will not be another project with the
same topic. Assessment can, therefore, only be offered for the project offered in the respective semester.
Assessment offered: In the semester in which the course is offered
Language of assessment: German and/or English",--,"Focuses available for students of the Master's programme Informatik (Computer Science, 120 ECTS credits): AT,
SE, IT, IS, ES, LR, HCI, GE.",150 h,--,--
International Marketing,12-M-IMM-161-m01,Faculty of Business Management and Economics,Holder of the Chair of Business Management and Marke-,5,numerical grade,1 semester,graduate,"Description:
The module builds on the knowledge acquired during the Bachelor's degree programme or the Grundstudium
(stage I studies). It provides a systematic introduction to strategic marketing decisions in global and internatio-
nal contexts. These are explained mainly by Porter's diamond and cluster models. Another focus is on internatio-
nalisation strategies, which require country analyses and decisions on the selection of national markets as well
as a timing of the countries market development. In addition, the module discusses different strategies for mar-
ket entry and market development.
Outline of syllabus:
1. Internationalisation of the economy and regional integration processes
• Globalisation
• Competitiveness of countries, industries and companies in an international context
2. International strategic marketing decisions
• Market entry forms
• Market development strategies
• Timing strategies
• International organisation structures
3. Theories and strategies of internationalisation
• Foreign trade theory
• Multinational enterprise
• Internationalisation strategies
Reading:
Meffert, H. / Burmann C. / Becker, C.: Internationales Marketing-Management, Stuttgart etc. (most recent editi-
on).
Berndt, R. / Fantapié-Altobelli C. / Sander M.: Internationales Marketing-Management, Berlin etc. (most recent
edition).","Students acquire in-depth skills in the field of strategic and operational management with particular attention to
the international context. Students achieve particular expertise in the analysis, assessment and implementation
of international business decisions and gain skills thus guiding the execution of marketing and management po-
sitions in globally-active companies.",V (2) + Ü (2),"written examination (approx. 60 minutes)
Language of assessment: German and/or English",--,--,150 h,--,--
Brand Management & Market Research,12-M-MM-161-m01,Faculty of Business Management and Economics,Holder of the Chair of Business Management and Marke-,5,numerical grade,1 semester,graduate,"Description:
At the beginning of the 21st century, marketing - until then interpreted as a market-oriented corporate manage-
ment approach - was further developed to be seen as the entrepreneurial task of creating ""shared value"" for the
organisation on the one hand and - broadly speaking - for society on the other hand. This idea leads to high re-
quirements regarding the strategic sustainable positioning of the brand as well as brand management itself.
Outline of syllabus:
1. Brand leadership and brand assessment
2. Brand leadership, identity and relevance according to David Aaker's approach
3. Brand strategies
4. Consumer behaviour
5. Market research methods and the development of brand strategies
6. Market research methods","Based on the theories of Meffert and Aaker, students will gain a profound understanding for brand leadership,
which will be deepened by many pracital implications and examples. Provided by cases studies and market re-
search tools, it's the defined goal of this lecture to convey an in-depth knowledge for consumer behavior and su-
stainable brand management.",V (2) + Ü (2),"written examination (approx. 60 minutes)
Language of assessment: German and/or English",--,--,150 h,--,--
Strategic Networks in Industry,12-M-MS-161-m01,Faculty of Business Management and Economics,Holder of the Chair of Business Management and Marke-,5,numerical grade,1 semester,graduate,"The primary object of this course is to gain a detailed understanding of strategic networks and of the phenome-
non of clustering in the industrial industry. The example of the international automotive industry is used for clari-
fication of the theoretical contents.
The focus is on marketing in industrial companies and also on CSR - CSR is considered the ""driver"" of sustaina-
ble innovations - as well as the different strategy types of sustainable innovations.
Outline of syllabus:
1. Strategic networks and clusters in industrial industries such as the automotive industry
2. Transaction types of Williamson as well as strategic cooperation between automobile manufacturers and sup-
pliers
3. Management of business types, in particular the business of suppliers in the automotive industry
4. Cluster and entrepreneurship activities
5. Sustainable innovation strategies","By the end of the course, students gain a profound understanding above the basics of network research. Further-
more students will aquire sectoral knowledge of the automotive industry as well as detailed cluster skills.",V (2) + Ü (2),"written examination (approx. 60 minutes)
Language of assessment: German and/or English",--,--,150 h,--,--
Strategic Marketing,12-M-SM-161-m01,Faculty of Business Management and Economics,Holder of the Chair of Business Management and Marke-,5,numerical grade,1 semester,graduate,"Description:
The module raises awareness in students of the relevance and necessity of strategic management in a competiti-
ve and dynamical competitive process.
Content:
Based on the marketing strategies as well as the stakeholder and entrepreneurship approaches, this module
discusses the roots of the concept of strategy in marketing based on Drucker, Porter, Ansoff and Mintzberg. The
focus of the module is on thinking in competitive advantages, which is directly related to responsible leadership.
Outline of syllabus:
1. Competitive dynamics requires strategy and leadership
2. Marketing strategies, stakeholder management and entrepreneurship
3. Objectives and tasks of corporate governance in management practice
4. Competitive forces, strategies and benefits according to Michael Porter
5. Growth strategies and marketing myths
6. Future technologies, new businesses and dynamic capabilities
7. Nature and principles of responsible management
Reading:
Barnard, CI (1938): The Functions of the Executive, Harvard University Press, Cambridge, Massachusetts.
Eschenbach, R.; Eschenbach, S.; Kunesch, H. (2008): Strategische Konzepte: Management-Ansätze von Ansoff
bis Ulrich, 5th ed., Schäffer-Poeschel Stuttgart.
Freeman, RE (2010): Strategic Management: A Stakeholder Approach, Cambridge University Press.
Grant, R. M.; Nippa, M. (2006): Strategisches Management: Analyse, Entwicklung und Implementierung von Un-
ternehmensstrategien, 5th ed., Pearson Munich.
Hinterhuber, H. H. (2011): Strategische Unternehmensführung -- I. Strategisches Denken, 8th ed., Erich Schmidt
Verlag, Berlin.
Hungenberg, H. (2012): Strategisches Management in Unternehmen: Ziele -- Prozesse -- Verfahren, 7th ed.,
Gabler, Wiesbaden.
Johnson, G.; Scholes, K.; Whittington, R. (2009): Fundamentals of Strategy, 1st ed., Financial Times and Prentice
Hall Harlow.
Kotler, P.; Berger, R.; Bickhoff, N. (2010): The Quintessence of Strategic Management, Springer, Heidelberg.
Laasch, O.; Conaway RN (2014): The Principles of Responsible Management: Global Sustainability, Responsibili-
ty, and Ethics, Cengage Stamford.
Meffert, H.; Burmannn, C.; Kirchgeorg, M. (2012): Marketing -- Grundlagen marktorientierter Unternehmensfüh-
rung, 11th ed., Gabler, Wiesbaden.
Meyer, M. (1995): Ökonomische Organisation der Industrie: Netzwerkarrangements zwischen Markt und Unter-
nehmung, Gabler, Wiesbaden.
Müller-Stewens, G.; Lechner, C. (2011): Strategisches Management -- Wie strategische Initiativen zum Wandel
führen, 4th ed., Schäffer-Poeschel Stuttgart.
Porter, M. (1999): Wettbewerb und Strategie, Econ Munich. (Original: Porter, M.: On Competition, Boston, 1998.)
Porter, M. (2014): Wettbewerbsvorteile -- Spitzenleistungen erreichen und behaupten, 8th ed., Campus Frank-
furt / New York. (Original: Porter, M.: Competitive Advantage, New York, 1985)
Porter, M. (2013): Wettbewerbsstrategie -- Methoden zur Analyse von Branchen und Konkurrenten, 12th ed.,
Campus, Frankfurt / New York. (Original: Porter, M.: Competitive Strategy, New York, 1980)
Welge, M. K.; Al-Laham, A. (2012): Strategisches Management: Grundlagen -- Prozesse -- Implementierung, 6th
ed., Springer Wiesbaden.","The students have a deeper understanding of the sustainable corporate management and have the basics of the
competitive process and competitive dynamics available. In addition, they can use the acquired knowledge, whi-
le taking into account the conventional problems of the strategic and sustainable management, to solve busi-
ness case studys on their own.",V (2) + Ü (2),"written examination (approx. 60 minutes)
Language of assessment: German and/or English",--,--,150 h,--,--
Industrial Management 4,12-M-BE-192-m01,Faculty of Business Management and Economics,Holder of the Chair of Business Management and Industrial,5,numerical grade,1 semester,graduate,"This course will develop the objectives, principles and structure of electronically supported procurement proces-
ses with a special focus on catalogue-based procurement systems, electronic tendering systems, electronic (re-
verse) auctions, e-marketplaces, supplier relationship management systems and eSupply chain management sy-
stems.","The students will be able to describe and evaluate both the potentials and goals of electronic supported pro-
curement systens and will be able to design appropriate systems for real-life applications. Students will get in-
sight into the essentials of operational procurement management, especially e-procurement with a focus on ca-
talog-based procurement systems, electronic tendering systems, electronic (reverse) auctions, e-marketplaces,
supplier relationship management systems and eSupply chain management systems. After completing this mo-
dule, students can define and analyze the related tasks and processes and show or develop theory-based and
application-oriented possible solutions at a high professional level.",V (2) + Ü (2),"a) Written examination (approx. 40 to 60 minutes) or
b) Presentation (approx. 20 Minutes) and term paper (15 to 20 pages), weighted 1:1 or
c) Term paper (30 to 40 pages) or
d) entirely or partly computerised written examination (approx. 60 minutes) or
e) Portfolio (approx. 20 pages)
Creditable for bonus
Language of assessment: German and/or English","20 places.
(1) A total of 15 places will be allocated to students of the Master's degree programmes Management as well as
International Economic Policy.
Should the number of applications exceed 15, these places will be allocated by lot. A waiting list will be maintai-
ned and places re-allocated by lot as they become available.
(2) A total of 5 places will be allocated to students of the Master's degree programme Information Systems.
Should the number of applications exceed 5, these places will be allocated by lot. A waiting list will be maintai-
ned and places re-allocated by lot as they become available.
(3) When places are allocated in accordance with (1) and (2) and the number of applications exceeds the number
of available places, places will be allocated by lot among applicants from this group.","Module can be taught in form of E Learning course, seminar, workshop etc.",150 h,--,--
Industrial Management 2,12-M-LA-182-m01,Faculty of Business Management and Economics,Holder of the Chair of Business Management and Industrial,5,numerical grade,1 semester,graduate,"This module analyses and classifies approaches of production planning and control. In addition, it develops
methods and models of lot sizing and scheduling. The focus is on the determination of optimal production and
transport volumes as well as the planning of orders and manufacturing orders.","Students learn essential concepts, principles and methods of production planning and control with emphasis on
the determination of optimal production and transport volumes as well as the planning of production and order
sequences. Then, based on this expertise related knowledge broadening and deepening, essential competen-
cies are conveyed, which allow the imaging of realistic situations and problems using mathematical and quanti-
tative models for the derivation and assessment of alternative courses of action. After completion of the modu-
le students can answer, analyze and structure questions of production planning and control, goal-oriented. They
can also arrange the planning areas in the overall business context and have an in-depth overview of the produc-
tion planning and control.","V (2) + Ü (2)
Course type: might also be offered as eLearning, seminary, workshop, etc.","a) written examination (approx. 40 to 60 minutes) or b) presentation (approx. 20 minutes) and term paper (15 to
20 pages), weighted 1:1 or c) term paper (approx. 30 to 40 pages) or d) entirely or partly computerised written ex-
amination (approx. 60 minutes) or e) portfolio (approx 20 pages)
Language of assessment: German and/or English
creditable for bonus","20 places. (1) Should the number of applications exceed the number of available places, places will be allocated
by lot among all applicants irrespective of their subjects. (2) Places on all courses of the module with a restricted
number of places will be allocated in the same procedure. (3) A waiting list will be maintained and places re-allo-
cated by lot as they become available.",--,150 h,--,--
Industrial Management 1,12-M-SBM-182-m01,Faculty of Business Management and Economics,Holder of the Chair of Business Management and Industrial,5,numerical grade,1 semester,graduate,"The course addresses central issues of strategic supply management. The supply function of the company
(purchasing, materials management, procurement logistics) and its strategic importance is analysed and basic
methods are developed that are relevant in this area.","Students learn the principles of performance-oriented optimization of all procurement activities to develop long-
term, competitively sensitive potential for success. After completion of the module students are able to prepa-
re structured, to goal-oriented analyze and to respond to performance-oriented issues of strategic procurement
based on key instruments. Students are able to accurately classify the tasks of the procurement and to describe
and discuss their strategic importance and dominate essential methods and procedures used in this area to ap-
ply.","V (2) + Ü (2)
Course type: might also be offered as eLearning, seminary, workshop, etc.","a) written examination (approx. 40 to 60 minutes) or b) presentation (approx. 20 minutes) and term paper (15 to
20 pages), weighted 1:1 or c) term paper (approx. 30 to 40 pages) or d) entirely or partly computerised written ex-
amination (approx. 60 minutes) or e) portfolio (approx 20 pages)
Language of assessment: German and/or English
creditable for bonus","20 places. (1) Should the number of applications exceed the number of available places, places will be allocated
by lot among all applicants irrespective of their subjects. (2) Places on all courses of the module with a restricted
number of places will be allocated in the same procedure. (3) A waiting list will be maintained and places re-allo-
cated by lot as they become available.",--,150 h,--,--
Industrial Management 3,12-M-SPM-182-m01,Faculty of Business Management and Economics,Holder of the Chair of Business Management and Industrial,5,numerical grade,1 semester,graduate,"This module will discuss contents and procedures of strategic production management and, in particular, plan-
ning and control concepts.
Students will become familiar with the essentials of strategic production management. Theoretical and analyti-
cal models will be used for analysing both economic and ecological issues. In addition, the module will discuss
principles of value structure optimisation and will develop competences regarding the development of integra-
ted mathematical models.","After completion of the module students are able to process, to analyze and answer questions of operations
strategy structured and goal-oriented in a global context using appropriate methods. Furthermore, they know
the main strategic tasks and objectives in production management and evaluate and apply planning and control
concepts for the production in realistic application situations.","V (2) + Ü (2)
Course type: might also be offered as eLearning, seminary, workshop, etc.","a) written examination (approx. 40 to 60 minutes) or b) presentation (approx. 20 minutes) and term paper (15 to
20 pages), weighted 1:1 or c) term paper (approx. 30 to 40 pages) or d) entirely or partly computerised written ex-
amination (approx. 60 minutes) or e) portfolio (approx 20 pages)
Language of assessment: German and/or English
creditable for bonus","20 places. (1) Should the number of applications exceed the number of available places, places will be allocated
by lot among all applicants irrespective of their subjects. (2) Places on all courses of the module with a restricted
number of places will be allocated in the same procedure. (3) A waiting list will be maintained and places re-allo-
cated by lot as they become available.",--,150 h,--,--
Legal Foundations of Risk Management and Compliance,12-M-RM1-161-m01,Faculty of Business Management and Economics,Holder of the Chair of Financial Accounting,2,numerical grade,1 semester,graduate,"Content: This module analyses the presentation of opportunities and risks in financial reports, i. e. annual or in-
terim reports, in conjunction with selected value-based management and profitability analysis approaches.
Outline of syllabus:
1. Basics of financial reporting and risk management;
2. Practice of risk reporting;
3. Profitability analysis according to Penman;
4. Value-based management and risk management;
5. Residual income and business valuation;
6. Analysis of equity risk;
7. Analysis of credit risk;
8. Risk management monitoring by audit committees and auditors.
Reading list to be provided in class.","After completing the course, the students will be able
1. to present the relation between risk management and financial reporting;
2. to analyze and solve independently complex problems with respect to the presentation of opportunities and
risk in financial reports based on national and international standards;
3. to identify the relation between risks and value-based management;
4. to evaluate independently selected research results concerning risk reporting and desing own research- or
practice-oriented projects.",V (2),"a) written examination (approx. 60 minutes) or b) term paper (approx. 15 pages)
Language of assessment: German and/or English
creditable for bonus","30 places. (1) Should the number of applications exceed the number of available places, places will be allocated
by lot among all applicants irrespective of their subjects. (2) Places on all courses of the module with a restricted
number of places will be allocated in the same procedure. (3) A waiting list will be maintained and places re-allo-
cated by lot as they become available.",--,60 h,--,--
Financial Statement Analysis and Business Valuation,12-M-UA-161-m01,Faculty of Business Management and Economics,Holder of the Chair of Financial Accounting,5,numerical grade,1 semester,graduate,"Fundamental investing involves valuation, and much of the information for valuation is contained in financial
statements. This module provides a basic understanding of financial statement analysis, particularly on how to
extract value-relevant information from financial statements, carry out financial statement analysis, and use fi-
nancial data to value corporations. The module also provides the necessary tools to gain insights into what ge-
nerates value in a corporation.","Students can understand publicly traded companies' financial statements (US GAAP/IFRS), identify value-rele-
vant information in financial statements, and use this information for valuation. They know the relevant techni-
ques to evaluate financial statements and understand the fundamental role of financial information in the valua-
tion process. Students can apply valuation technics to real-world cases and recommend investment decisions.",V (2) + Ü (2),"written examination (approx. 60 to 120 minutes)
Language of assessment: German and/or English
creditable for bonus",--,--,150 h,--,--
Philosophy of Science and Ethics in Business Management and Economics,12-M-WEW-182-m01,Faculty of Business Management and Economics,Holder of the Chair of Financial Accounting,10,numerical grade,1 semester,graduate,"This module will take the form of a seminar. Participants will independently work on a problem in economic poli-
cy or will review an important publication on a topic in economics.",Students are able to present the status of a current project in a talk as well as to discuss and defend it.,S (2),"term paper (approx. 20 to 25 pages) and presentation (approx. 20 minutes), weighted 2:1
Assessment offered: In the semester in which the course is offered
Language of assessment: German and/or English
creditable for bonus","20 places. (1) Should the number of applications exceed the number of available places, places will be allocated
by lot among all applicants irrespective of their subjects. (2) Places on all courses of the module with a restricted
number of places will be allocated in the same procedure. (3) A waiting list will be maintained and places re-allo-
cated by lot as they become available.",--,300 h,--,--
Risk Management - Concepts and Systems,12-RM-KS-161-m01,Faculty of Business Management and Economics,holder of the Chair of Business Management and Accoun-,5,numerical grade,1 semester,graduate,"Concepts: The course will provide students with an overview of the main goals, contents, methods and instru-
ments of opportunity and risk management in industrial and commercial enterprises. Systems: The course will
provide students with an overview of the design and functionality of essential information systems for risk mana-
gement.","Concepts: After completion of the module students have a sound understanding of basic concepts, processes,
methods and tools of risk management. They are able to justify the duties and functions of risk management in
the company in theory and practice. They can also evaluate proposed solutions for the design of a risk manage-
ment system, analyze selected issues of risk management and building on that, develop their own solutions. Sy-
stems: After completing this module, students can
(i) judge legal, organizational and methodological requirements for the implementation of risk management pro-
cesses in a risk management information system (RMIS);
(ii) understand the technical basis for RMIS;
(iii) estimate the different characteristics of various information systems for the RM;
(iv) understand the workings of RMIS.",V (2),"a) written examination (approx. 60 minutes) or b) oral examination (one candidate each: approx. 15 to 20 minu-
tes; groups of 2: approx. 20 minutes; groups of 3: approx. 30 minutes)
Language of assessment: German and/or English
creditable for bonus","25 places. (1) Should the number of applications exceed the number of available places, places will be allocated
by lot among all applicants irrespective of their subjects. (2) Places on all courses of the module with a restricted
number of places will be allocated in the same procedure. (3) A waiting list will be maintained and places re-allo-
cated by lot as they become available.",--,150 h,--,--
Discounted Cashflow,12-M-CF1-182-m01,Faculty of Business Management and Economics,Holder of the Chair of Corporate Finance,5,numerical grade,1 semester,graduate,"The module covers discounted cash flow (DCF) methods under certainty as well as uncertainty in the context of
the valuation of unlevered and levered companies. Furthermore, tax aspects as well as their influence on the
company value are considered.
Syllabus:
1. Introduction
2. DCF Theory under certainty
1. NPV without taxes
2. NPV with personal taxes
3. NPV with corporate taxes
3. DCF Theory under uncertainty
1. DCF basics
2. Valuation of unlevered companies
3. Valuation of levered companies
4. Practice of DCF methods","After completion of this module, the students will know a variety of discounted cashflow techniques and are able
to apply properly them in order to evaluate projects or firms.",V (2) + Ü (2),"a) written examination (approx. 60 to 90 minutes) or b) term paper (approx. 15 pages)
Language of assessment: German and/or English
creditable for bonus",--,--,150 h,--,--
Portfolio and Capital Market Theory,12-M-CF2-182-m01,Faculty of Business Management and Economics,Holder of the Chair of Corporate Finance,5,numerical grade,1 semester,graduate,"This module conveys profound knowledge of individual portfolio choices and on this basis the most important
capital market theory (namely capital asset pricing model) is introduced, including its assumptions, implications
and extensions.
Syllabus:
1. Modern Portfolio Selection
1. 2 Asset-Case
2. Multiple-Asset-Case
3. Critique of Portfolio Theory
2. Capital Asset Pricing Model
1. Assumptions and Derivation
2. Implications
3. Empirical Aspects, Extensions and Alternatives","This module enables the students
(i) to explain and to determine the optimal capital market position of an investor given the different investment
opportunities and individual utility function;
(ii) to understand and use the central CAPM propositions for valuating risky assets.",V (2) + Ü (2),"a) written examination (approx. 60 to 90 minutes) or b) term paper (approx. 15 pages)
Language of assessment: German and/or English
creditable for bonus",--,--,150 h,--,--
Risk Management and Corporate Finance,12-M-CF3-182-m01,Faculty of Business Management and Economics,Holder of the Chair of Corporate Finance,5,numerical grade,1 semester,graduate,"This module deals with the valuation and use of classical derivatives in financial markets. In particular, futures,
swaps and options are considered as well as their possible applications in the context of financial risk manage-
ment. In particular, students will be introduced to the theory involved in pricing options, as well as important va-
luation parameters. In addition, some established risk measures such as value-at-risk are discussed.
1. Introduction
2. Futures & Forwards
3. Swaps
4. Options
5. Measures of risk","Upon completion of this module students will be able to,
(i) independently determine the fair value of the derivatives discussed, as well as
(ii) to understand and evaluate common capital market hedging strategies.",V (2) + Ü (2),"a) written examination (approx. 60 to 90 minutes) or b) term paper (approx. 15 pages)
Language of assessment: German and/or English
creditable for bonus",--,--,150 h,--,--
Risk measurement and risk valuation: Concepts and applications for banks,12-M-CF5-182-m01,Faculty of Business Management and Economics,Holder of the Chair of Corporate Finance,5,numerical grade,1 semester,graduate,"The course augments the usual consideration of symmetric risk metrics by introducing metrics for downside risks
and the concept of risk as a capital requirement. The focus for applications in banks lies in the treatment of risks
with regard of supervisory regulations.","After completing the course “Risk measurement and risk valuation: Concepts and applications for banks” the
students are able
1. to judge the appropriateness and problems of asymmetric risk measures,
2. to address essential risks in banks and to understand their handling by supervisory regulations as well as
3. to realize the concept of risk as a capital requirement being the systematic base for these aspects in the ban-
king sector.",V (2) + Ü (2),"a) written examination (approx. 60 minutes) or b) term paper (approx. 15 pages)
Language of assessment: German and/or English
creditable for bonus",--,--,150 h,--,--
Economics of Tax Planning,12-M-SP-161-m01,Faculty of Business Management and Economics,Holder of the Chair of Business Taxation,5,numerical grade,1 semester,graduate,"This course deals with tax effects on fundamental economic decisions. Taxes are integrated into standard mo-
dels for investment decisions, financing decisions, firm valuation, dividend policy and remuneration of employ-
ees. Therefore, the interaction of corporate and personal income taxes is analysed.
A reading list in English is available on request.","This course enables students to
(i) combine their knowledge of tax law with microeconomic analyses in the areas of corporate and personal fi-
nance;
(ii) analyze the effect of taxes on fundamental economic decisions, e.g. investment and financing decisions, eva-
luation of investment, financial assets, forms of remuneration for employees including managing and assessing;
(iii) read and discuss research and policy papers in the field of taxation.",V (2) + Ü (2),"a) written examination (approx. 60 minutes) or b) term paper (approx. 15 pages) or c) oral examination of one
candidate each (approx. 20 minutes)
Language of assessment: German and/or English
creditable for bonus",--,--,150 h,--,--
Tax Accounting,12-M-STB-161-m01,Faculty of Business Management and Economics,Holder of the Chair of Business Taxation,5,numerical grade,1 semester,graduate,"This module introduces the various methods of income recognition in the German Income Tax Code (Einkommen-
steuergesetz, EStG). It discusses the main reporting and valuation provisions as well as the specific problems
and techniques of income calculation for partnerships.","Students have in-depth knowledge of tax accounting of companies and are able to solve moderate to complex
problems of tax accounting in particular of sole proprietorships and partnerships using legal source.",V (2) + Ü (2),"a) written examination (approx. 60 minutes) or b) term paper (approx. 15 pages) or c) oral examination of one
candidate each (approx. 20 minutes)
Language of assessment: German and/or English
creditable for bonus",--,--,150 h,--,--
Incentives in Organizations,12-M-AO-182-m01,Faculty of Business Management and Economics,Holder of the Chair of Human Resource Management and,5,numerical grade,1 semester,graduate,"Based on the classical principal-agent theory, this course discusses methodological and empirical aspects of in-
centives in organisations. It uses contents from advanced text books and original (mainly empirical) research ar-
ticles.
Outline of syllabus
1. Principal-agent theory
2. Do top managers earn too much? (application)
3. Performance-based payment
4. Implementation of performance-based payment in companies (application)
5. Seniority payment (with application)
6. Financial incentives to work after retirement (with application)
7. Efficiency wages (with case study)
8. Team incentives (with case study)","Students acquire a working knowledge of key incentive models models, selected empirical applications and the
necessary econometric background. This enables them to identify the advantages and disadvantages of different
incentive systems that are applied in the enterprise context, to make informed management analyses and to cri-
tically evaluate current controversies and developments as well as to conduct their own research.","V (2) + Ü (2)
Module taught in: English","a) written examination (approx. 60 minutes) or b) term paper (approx. 15 pages)
Language of assessment: German and/or English",--,--,150 h,--,--
Human Resource Management and Industrial Relations,12-M-HRM-192-m01,Faculty of Business Management and Economics,Holder of the Chair of Human Resource Management and,5,numerical grade,1 semester,graduate,"The lecture ""Human Resource Management and Industrial Relations"" introduces advanced theories, estimation
techniques and empirical results from the areas of human resources management and institutional frameworks
such as ithe different actors in ndustrial relations.
Syllabus
Introduction: Human Resource Management & Industrial Relationships
Chapter 1: The employment contract [formal model]
Chapter 2: Motivation [formal model]
Chapter 3: Employee resistance against reorganisations [empirical study]
Chapter 4: The role of works councils [formal model]
Chapter 5: Works councils and the employer wage structure [empirical study]
Chapter 6: The behaviour of labour unions [formal model]
Chapter7: Learning process of employers [formal model and empirical study]
Chapter8: Demographic challenges of HRM [formal model and empirical study]","The aim of the lectures is to enable students to understand and apply advanced theories, estimation techniques
and empirical results in the area human resource management and industrial relations on the basis of scientifc
literature.",V (2) + Ü (2),"a) Written examination (approx. 60 minutes) or
b) Term paper (approx. 15 pages)
Language of assessment: German and/or English","There are no restrictions with regard to available places for students of the Master's degree programmes Mana-
gement, International Economic Policy, Information Systems, Wirtschaftsmathematik (Mathematics for Econo-
mics) and Chinese and Economics as well as China Business and Economics. A total of 20 places will be alloca-
ted to students of other subjects; should the number of applications exceed the number of available places, the-
se places will be allocated by lot.",--,150 h,--,--
Advanced Seminar: Entrepreneurship and Management,12-M-SAS-182-m01,Faculty of Business Management and Economics,Holder of the Chair of Entrepreneurship and Strategy,10,numerical grade,1 semester,graduate,"Students develop seminar papers on varying topics in the domain of entrepreneurship, strategy, and innovation
and present the key insights from their work.","Educational aims
• Enable students to position their research
• Enable students to critically review a substantial body of literature in short time
• Enable students to develop a sound theoretical framework
• Enable students to create a research paper fully meeting academic standards
Learning outcomes
On successful completion of this module students will be able to:
• Differentiate their research from previous work
• Adopt theoretical perspectives to understand complex phenomena
• Engage in comprehensive academic reasoning
• Articulate abstract and complex phenomena and relationships in written and oral form",S (2),"term paper (approx. 20 pages) and presentation (15 to 30 minutes), weighted 2:1
Assessment offered: Once a year, winter semester
Language of assessment: German and/or English","20 places. (1) Should the number of applications exceed the number of available places, places will be allocated
by lot among all applicants irrespective of their subjects. (2) Places on all courses of the module with a restricted
number of places will be allocated in the same procedure. (3) A waiting list will be maintained and places re-allo-
cated by lot as they become available.",--,300 h,--,--
Corporate Strategy,12-M-UGF2-182-m01,Faculty of Business Management and Economics,Holder of the Chair of Entrepreneurship and Strategy,5,numerical grade,1 semester,graduate,"This theory-led and application-oriented module provides you with critical knowledge and skills related to cor-
porate strategy—essential for anyone aspiring to take on leadership roles in their future career, may it be in the
private or public sector. The module goes beyond basic knowledge about strategic management provided by ba-
chelor-level modules.
(1) Developing strategies in pursuit of competitive advantage
(2) Corporate diversification
(3) Vertical integration and outsourcing
(4) Mergers & acquisitions
(5) Dynamic strategies
(6) Cooperative strategies
(7) Corporate spin-offs and spin-outs
(8) Internationalization strategies (I)
(9) Internationalization strategies (II)
(10) Strategic change
(11) Corporate strategies and new technologies
(12) Corporate governance and corporate social responsibility
(13) Corporate communication and crisis management
(14) Wrap-up and Q&A","Educational aims
• Clarify the role of corporate strategy
• Explain theoretical concepts and mechanisms behind corporate strategy
• Enable students to critically appraise alternative approaches to corporate strategy
• Enable students to evaluate the boundaries and risks of corporate strategy
Learning outcomes
On successful completion of this module students will be able to:
• Assess the role of corporate strategy for creating and sustaining competitive advantage
• Create and evaluate concepts related to corporate strategy
• Make judgements about the organizational and managerial implications of corporate strategy
• Systematically choose between different routes of action","V (2) + Ü (2)
Module taught in: English","a) written examination (approx. 60 to 120 minutes) or b) term paper (15 to 20 pages) or c) oral examination of
one candicate each (approx. 10 to 15 minutes) or oral examination in groups (groups of 2 approx. 20 minutes,
groups of 3 approx. 30 minutes)
Language of assessment: English",--,--,150 h,--,--
Change Management,12-M-CHA-182-m01,Faculty of Business Management and Economics,"Holder of the Chair of Business Management, Management",5,numerical grade,1 semester,graduate,"Within the module, theoretical basics of change management are covered. In addition, we present and jointly
analyze existing change projects in detail. We try to answer related questions, too. For example, the module dis-
cusses how to involve stakeholders in change, what motivates them to embrace change, and whether participa-
tion is a universal principle. The module covers projects like merging two departments, restarting a department
with team building, conducting an employee survey, or developing a new mission statement. The majority of the
projects are taken from the social sector, but can be transferred to industry and SMEs.","After participating the lecture, students will be able to understand the occurrence of resistance and massive
emotional reactions in change processes. Change processes can be critically analyzed and the use of typical in-
struments in change processes can be questioned. Students are able to identify the typical pitfalls and hurdles
in these processes and are able to use their knowledge for own future projects as well as to create their own so-
lutions in change processes.",V (2) + Ü (2),"a) written examination (approx. 60 minutes) or b) term paper (approx. 15 pages)
Assessment offered: In the semester in which the course is offered
Language of assessment: German and/or English
creditable for bonus",--,--,150 h,--,--
Managerial Accounting in the Company Management,12-M-CIU-182-m01,Faculty of Business Management and Economics,"Holder of the Chair of Business Management, Management",5,numerical grade,1 semester,graduate,"Within the module, theoretical basics of change management are covered. In addition, we present and jointly
analyze existing change projects in detail. We try to answer related questions, too. For example, the module dis-
cusses how to involve stakeholders in change, what motivates them to embrace change, and whether participa-
tion is a universal principle. The module covers projects like merging two departments, restarting a department
with team building, conducting an employee survey, or developing a new mission statement. The majority of the
projects are taken from the social sector, but can be transferred to industry and SMEs.","After participating the lecture, students will be able to understand the occurrence of resistance and massive
emotional reactions in change processes. Change processes can be critically analyzed and the use of typical in-
struments in change processes can be questioned. Students are able to identify the typical pitfalls and hurdles
in these processes and are able to use their knowledge for own future projects as well as to create their own so-
lutions in change processes.",V (2) + Ü (2),"a) written examination (approx. 60 minutes) or b) term paper (approx. 15 pages)
Assessment offered: In the semester in which the course is offered
Language of assessment: German and/or English
creditable for bonus",--,--,150 h,--,--
Strategic Managerial Accounting,12-M-INST-182-m01,Faculty of Business Management and Economics,"Holder of the Chair of Business Management, Management",5,numerical grade,1 semester,graduate,"The module focuses on accounting instruments, which are applied in the context of strategic management of
enterprises. First, it addresses important drivers of strategic decisions from a microeconomic perspective, such
as the emergence of cost and quality advantages in competition as well as scale and experience curve effects.
Second, the module covers analytical and heuristic techniques of planning and control. In the context of these
techniques, instruments of target costing, life cycle cost analysis, benchmarking and business wargaming are
discussed with regard to their theoretical foundation and fields of application.","Initially, knowledge about fundamental requirements concerning instruments of decision-making and behavior
control within enterprises is acquired. What is more, the module conveys obtaining knowledge about the strengt-
hs and weaknesses and therewith fields of application and limits of prevalent instruments of strategic corporate
management used by practitioners.",V (2) + Ü (2),"a) written examination (approx. 60 minutes) or b) term paper (approx. 15 pages)
Language of assessment: German and/or English
creditable for bonus",--,--,150 h,--,--
"Coordination, Budgeting and Incentives in Organizations",12-M-KOBO-182-m01,Faculty of Business Management and Economics,"Holder of the Chair of Business Management, Management",5,numerical grade,1 semester,graduate,"This module focuses on accounting-based instruments to control behavior in decentralized enterprises. The
course first discusses the role of accounting in the context of decision-making and behavioral controlling as well
as informational analyses. Afterwards, the most common instruments of behavioral controlling (budgeting, va-
lue-oriented management, transfer prices) are discussed with regard to theory and practice.","This module aims to provide knowledge in the context of behavioral control in enterprises. Knowledge about re-
quirements on instruments used for behavioral control are discussed and competences for deployment, struc-
ture and development of coordination tools are provided.",V (2) + Ü (2),"a) written examination (approx. 60 minutes) or b) term paper (approx. 15 pages)
Language of assessment: German and/or English
creditable for bonus",--,--,150 h,--,--
Project Management and Control,12-M-PROM-182-m01,Faculty of Business Management and Economics,"Holder of the Chair of Business Management, Management",5,numerical grade,1 semester,graduate,"The module focuses on the discussion and critical examination of instruments and methods used in the context
of project management and control within enterprises. Both classic and agile approaches to project manage-
ment are considered. It covers characteristic features and structures of projects, their possible success factors,
methods and instruments of control and management of projects in various project phases. The theoretical basis
as well as potential applications of these instruments are discussed.","Initially, knowledge about fundamental requirements concerning instruments of project management and con-
trol is acquired. What is more, the module conveys knowledge about strengths and weaknesses and therewith
fields of application and limits of commonly used instruments and methods of practitioners. Competences wi-
thin the configuration and development of the project management and control as well as skills within the practi-
cal use are obtained.",S (2),"written examination (approx. 60 minutes)
Language of assessment: German and/or English
creditable for bonus",--,--,150 h,--,--
Accounting and Capital Markets,12-M-REKA-182-m01,Faculty of Business Management and Economics,"Holder of the Chair of Business Management, Management",5,numerical grade,1 semester,graduate,"The module focuses on financial and management accounting, their functions, possible configurations as well
as their impact on internal and external recipients under consideration of the institutional setting. In this con-
text, an economic perspective has priority over detailed legal arrangements and regulations by the standard set-
ters. Based on the theoretical foundations of information economics as well as decision-making and balance
sheet theories, typical issues concerning cost and managerial accounting as well as financial accounting and pu-
blicity are discussed.","Initially, a fundamental knowledge about the conception and impact of management and financial accounting
as information systems is acquired. In the following, the module mainly sharpens the understanding of the eco-
nomic impacts of the configuration of management and financial accounting. What is more, extensive knowled-
ge about possible impacts of changes in institutional general frameworks is covered. For example, changes in
valuation standards, publicity rules or regulations about the distribution of profits in enterprises and on capital
markets are considered.",V (2) + Ü (2),"a) written examination (approx. 60 minutes) or b) term paper (approx. 15 pages)
Language of assessment: German and/or English
creditable for bonus",--,--,150 h,--,--
Managerial Analytics & Decision Making,12-M-MADM-182-m01,Faculty of Business Management and Economics,Holder of the Chair of Logistics and Quantitative Methods,5,numerical grade,1 semester,graduate,"The course ""Managerial Analytics & Decision Making"" discusses quantitative methods to structure and solve
a diverse set of management problems and demonstrates the application of modern methods with the help of
multiple case studies.","After completing this course students can
(i) better understand and structure problems;
(ii) apply important theoretical and empirical frameworks to practical problems that evaluate good and bad deci-
sion making;
(iii) implement advanced analytical methods to support decision making under risk.","V (2) + Ü (2)
Module taught in: English","a) written examination (approx. 60 minutes) or b) term paper (approx. 15 to 20 pages)
Language of assessment: English
creditable for bonus",--,--,150 h,--,--
Strategic Management of Global Supply Chains,12-M-SMGS-182-m01,Faculty of Business Management and Economics,Holder of the Chair of Logistics and Quantitative Methods,5,numerical grade,1 semester,graduate,"Description:
In the course ""Strategic Management of Global Supply Chains"", students will become familiar with the basic
principles of building an efficient global supply chain and will apply what they have learned working on multiple
case studies.","After completing this course students
(i) can apply the basic methods and concepts of supply chain management to practical settings and evaluate the
results, and
(ii) understand the effects of global value chains onto strategic company decisions.","V (2) + Ü (2)
Module taught in: English","written examination (approx 60 minutes)
Language of assessment: German and/or English
creditable for bonus",--,--,150 h,--,--
Strategic Decisions and Competition,12-M-SDC-182-m01,Faculty of Business Management and Economics,Holder of the Chair of Industrial Economics,5,numerical grade,1 semester,graduate,"1. Strategic situations and decision making
2. Analyzing strategic situations with game theory
1. Noncooperative simultaneous move games
2. Nash equilibrium
3. Models of oligopoly markets
3. Dynamic Games
1. Two(-multi) stage games and subgame perfect equilibrium
2. Role of commitment in dynamic situations
3. Models of advertising
4. Wage bargaining and unions
4. Repeated Games
1. Emergence of coordination in long interactions
2. Collusion between competing firms
3. Time consistent monetary policy
5. Static games of incomplete Information
1. Bayesian Nash equilibrium
2. Auctions
6. Dynamic games of incomplete information
1. Moral hazard and nonlinear pricing
2. Perfect Bayesian equilibrium
3. Signalling games
4. Job-market signalling
5. Corporate investment and capital structure","After successful completion of this class, the students should be familiar with economic models that can be
used to shape managerial strategy and aid in making decisions in strategic situations. Especially, by making use
of simple two stage games, they should be able to formulate dynamic policies in a wide variety of strategic situa-
tions. The students will acquire an intuitive understanding of the underlying economic mechanisms which emer-
ge from the analysis of game theoretic models for a wide variety of strategic situations arising in industrial eco-
nomics, marketing, organization, finance, trade and labor. Moreover, they will acquire skills which enable them
to make predictions in strategic situations by making use of simple mathematical models. By means of comple-
ting case based exercises, they will learn to transform real life business situations to an appropriate economic
model. Based on an analysis of this model, they will be able to devise optimal strategies and derive the corre-
sponding managerial implications.
The course will be taught in English.","V (2) + Ü (2)
Module taught in: English","a) written examination (approx. 60 to 120 minutes) or b) term paper (15 to 20 pages)
Language of assessment: English
creditable for bonus",--,--,150 h,--,--
Theory of Industrial Organization,12-M-TI1-182-m01,Faculty of Business Management and Economics,Holder of the Chair of Industrial Economics,5,numerical grade,1 semester,graduate,"Theory of industrial organisation:
1. Monopoly pricing
• Nonlinear pricing and mechanism design
• Dynamic pricing: experience goods, durable goods
2. Oligopoly pricing
• Static price and quantity competition in homogeneous and differentiated goods markets
• Comparative statics
• Equilibrium market structure
3. Dynamic competition in oligopoly markets
• Subgame perfect equilibrium and models of dynamic competition
• Repeated games and collusion
4. Strategic behaviour by incumbent firms
• Entry deterrence and predation
• Signalling and reputation
5. Behavioral Industrial Organization
• Reference Dependent Preferences and Framing Effects
• Time inconsistent behavior
The course will be taught in English.","Students which complete this class will acquire a working knowledge of advanced theoretical models of compe-
tition in oligopoly markets as well as sophisticated pricing techniques in monopoly markets. They will learn the
conditions under which the predictions of these models are valid. They will become familiar with applications of
advanced game theoretic tools, such as dynamic models of competition, for studying interactions between firms
in markets. By means of comprehensive exercises, they will apply the methods they learn in class to practical-
ly relevant problems. They will be in a position to read academic papers on related topics, assess the strengths
and weaknesses of an approach, summarize and comment on these papers and suggest possible extensions.","V (2) + Ü (2)
Module taught in: English","a) written examination (approx. 60 to 120 minutes) or b) term paper (15 to 20 pages)
Language of assessment: English
creditable for bonus",--,--,150 h,--,--
European Competition Policy,12-M-WPE-192-m01,Faculty of Business Management and Economics,Holder of the Chair of Industrial Economics,5,numerical grade,1 semester,graduate,"Outline of syllabus:
1. Legal environment, competition laws
2. Market definition
• Qualitative methods
• Simple quantitative methods
• Hypothetical monopoly test
3. Horizontal agreements and collusion: repeated games and factors affecting likelihood of collusion
4. Horizontal mergers and collusion
• Economic theory
• Efficiency effects
• Coordinated effects
5. Vertical relations and contracts
• Economic analysis of contracts
• ""More economic approach""
6. Abuse of dominant position
• Classification of abusive conduct
• Economic analysis of abusive conduct and theory of harm
The course will be taught in English.","After completion of the module students can use the advanced concepts introduced in the lecture of competiti-
on policy, including the legal framework, the trace models and methods for the study of competition policy issu-
es, as well as understand the approach of European competition policy in high profile cases. When they are con-
fronted with practical problems, they can refer to these cases, and the same logic to practical examples apply by
draining the relevant economic theories that identify variables to be measured and methodologies for assessing,
and based on that adequate conclusions for appropriate cases. They will sufficiently understand the subject in
order to open up that build upon literature in journals and being able to think critically.","V (2)
Module taught in: English","a) Written examination (approx. 60 to 120minutes) or
b) Term paper (15 to 20 pages)
Creditable for bonus
Language of assessment: English","There are no restrictions with regard to available places for students of the Master's degree programmes Mana-
gement, International Economic Policy, Information Systems, Wirtschaftsmathematik (Mathematics for Econo-
mics) and Chinese and Economics as well as China Business and Economics. A total of 20 places will be alloca-
ted to students of other subjects; should the number of applications exceed the number of available places, the-
se places will be allocated by lot.",--,150 h,--,--
Econometrics 1,12-M-OE1-182-m01,Faculty of Business Management and Economics,Holder of the Chair of Econometrics,5,numerical grade,1 semester,graduate,"Description:
This module deals with the basic concept and methodology of the ordinary least squares (OLS) regression mo-
del. In particular, model assumptions and properties are discussed and formally motivated. In addition, the mo-
dule examines linear restrictions on the model's explanatory variables as well as dummy variables and introdu-
ces tests to verify simple and multiple linear restrictions.
Linear algebra is used as formal aid.
Outline of syllabus:
1. Random variables
2. Important distributions
3. Point estimates
4. Simple linear regression model
5. Model assumptions
6. Model properties
7. Simple hypothesis tests
8. Multiple linear regression model
9. Linear restrictions
10. Dummy variables
11. Multiple hypothesis tests","The students acquire knowledge of the basics, concepts and methods used in the classical linear regression mo-
del and understand the role of econometrics in science and data analysis. In particular, they learn how to analy-
tically derive, calculate and interpret the coefficients, standard errors and p-values of a classic regression output
of the multiple regression model. Furthermore, they are able to formally state and motivate the assumptions and
properties of OLS and know how to deal with transformed and dummy variables. Additionally, students will be
able to test multiple linear restrictions on the parameters and will be able to apply these tests to real economic,
business and social science questions.
The competences acquired in this course serve as a prerequisite for ""Econometrics II"", ""Econometrics III"", ""Micro-
econometrics"" und ""Financial Econometrics"".","V (2) + Ü (2)
Module taught in: German (winter semester), English (summer semester)","a) written examination (approx. 60 minutes) or b) term paper (approx. 15 pages)
Language of assessment: German and/or English
creditable for bonus",--,--,150 h,--,--
Advanced Microeconomics,12-M-AM-182-m01,Faculty of Business Management and Economics,Holder of the Chair of Contract Theory and Information Eco-,5,numerical grade,1 semester,graduate,"In a nutshell, microeconomic theory considers the behavior of individual economic agents and builds from this
foundation to a theory of aggregate economic outcomes, which then can be applied for conducting welfare ana-
lysis and giving policy advice. This lecture addresses the core building block of this thought complex: individu-
al decision making and behavior. Specifically, students will come to understand in detail the standard models of
riskless consumer choice, choice under risk and intertemporal choice and learn about the empirical challenges
and limitations of these models.
Throughout the lecture, we will work with precise mathematical formalizations of the ideas that we want to think
and talk about. In consequence, a solid understanding of the mathematical toolbox of standard microeconomics
(e.g., differential calculus and constrained optimization; basic set theory; integration by parts) will be helpful as
it will allow to focus on the underlying economic intuition. However, every required mathematical concept will be
introduced and explained along the way, such that a strong interest in formal economic analysis is more import-
ant than an advanced mathematical background.
The exposition is primarily based on the standard graduate textbooks
• Mas-Colell, Whinston and Green (1995): “Microeconomic Theory”
• Jehle and Reny (2001): “Advanced Microeconomic Theory”","After completing the course students will be able to
• explain essential findings of microeconomic theory,
• apply the involved methods to given stylized examples on their own,
• recognize in which real life situations and how the results can be applied.","V (2) + Ü (2)
Module taught in: English","a) written examination (approx. 60 minutes) or b) term paper (approx. 15 pages)
Language of assessment: English
creditable for bonus",--,--,150 h,--,--
Selected Topics in Business Management and Economics 1,12-M-APW1-161-m01,Faculty of Business Management and Economics,Dean of the Faculty of Business Management and Econo-,5,numerical grade,1 semester,graduate,"This module serves the purpose of transferring credits from
• courses taken at other German or non-German universities
• additional courses offered on a short-term basis
• courses offered by new Chairs that are yet to be included in the FSB (subject-specific provisions)
The holders of the respective Chairs will ensure that the courses are eligible for credit transfer.","As a result of accrediting multiple kinds of modules, a description of acquired skills cannot be given.",V (2) + Ü (2),"a) written examination (approx. 60 to 90 minutes) or b) written examination (questions concerning mathematical
methodology; approx. 120 minutes) or c) term paper (approx. 15 to 20 pages) or presentation (approx. 30 to 45
minutes)
Assessment offered: In the semester in which the course is offered
Language of assessment: German and/or English
creditable for bonus",--,--,150 h,--,--
Selected Topics in Business Management and Economics 2,12-M-APW2-161-m01,Faculty of Business Management and Economics,Dean of the Faculty of Business Management and Econo-,5,numerical grade,1 semester,graduate,"This module serves the purpose of transferring credits from
• courses taken at other German or non-German universities
• additional courses offered on a short-term basis
• courses offered by new Chairs that are yet to be included in the FSB (subject-specific provisions)
The holders of the respective Chairs will ensure that the courses are eligible for credit transfer.","As a result of accrediting multiple kinds of modules, a description of acquired skills cannot be given.",V (2) + Ü (2),"a) written examination (approx. 60 to 90 minutes) or b) written examination (questions concerning mathematical
methodology; approx. 120 minutes) or c) term paper (approx. 15 to 20 pages) or d) presentation (approx. 30 to 45
minutes)
Assessment offered: In the semester in which the course is offered
Language of assessment: German and/or English
creditable for bonus",--,--,150 h,--,--
Selected Topics in Business Information Systems 1,12-M-AWI1-161-m01,Faculty of Business Management and Economics,Dean of the Faculty of Business Management and Econo-,5,numerical grade,1 semester,graduate,"This module serves the purpose of transferring credits from
• courses taken at other German or non-German universities
• additional courses offered on a short-term basis
• courses offered by new Chairs that are yet to be included in the FSB (subject-specific provisions)
The holders of the respective Chairs will ensure that the courses are eligible for credit transfer.","As a result of accrediting multiple kinds of modules, a description of acquired skills cannot be given.","V (2) + Ü (2)
Course type: alternatively S instead of V + Ü","a) written examination (approx. 60 minutes) or b) written examination consisting entirely or partly of multi-
ple/single choice questions (approx. 60 minutes) or c) presentation (15 to 20 minutes) with written elaboration
(approx. 20 pages), weighted 1:2 or d) oral examination (one candidate each: approx. 10 to 15 minutes; groups of
2: approx. 20 minutes; groups of 3: approx. 30 minutes) or e) entirely or partly computerised written examination
(approx. 60 minutes)
Language of assessment: German and/or English
creditable for bonus",--,--,150 h,--,--
Selected Topics in Business Information Systems 2,12-M-AWI2-161-m01,Faculty of Business Management and Economics,Dean of the Faculty of Business Management and Econo-,5,numerical grade,1 semester,graduate,"This module serves the purpose of transferring credits from
• courses taken at other German or non-German universities
• additional courses offered on a short-term basis
• courses offered by new Chairs that are yet to be included in the FSB (subject-specific provisions)
The holders of the respective Chairs will ensure that the courses are eligible for credit transfer.","As a result of accrediting multiple kinds of modules, a description of acquired skills cannot be given.","V (2) + Ü (2)
Course type: alternatively S instead of V + Ü","a) written examination (approx. 60 minutes) or b) written examination consisting entirely or partly of multi-
ple/single choice questions (approx. 60 minutes) or c) presentation (15 to 20 minutes) with written elaboration
(approx. 20 pages), weighted 1:2 or d) oral examination (one candidate each: approx. 10 to 15 minutes; groups of
2: approx. 20 minutes; groups of 3: approx. 30 minutes) or e) entirely or partly computerised written examination
(approx. 60 minutes)
Language of assessment: German and/or English
creditable for bonus",--,--,150 h,--,--
Digital Marketing I,12-M-DM1-182-m01,Faculty of Business Management and Economics,Holder of the Junior Professorship of Digital Marketing and,5,numerical grade,1 semester,graduate,"Digitalization is rapidly changing our lives, including all types of business relationships. Therefore, new opportu-
nities and approaches have emerged in all areas of the marketing mix: Managers can choose from a wide variety
of new communication channels, such as social media networks, blogs, or messengers, and can engage in influ-
encer marketing and search engine optimization. They increasingly rely on online customer co-creation or crowd-
sourcing and create a wide variety of new digital products and services, often related to completely new busi-
ness models. Through price crawlers and price setting tools customers‘ price search behaviors have significant-
ly changed, requiring new price setting techniques. Artificial intelligence enables managers to automize and op-
timize many of these marketing processes, thus offering new opportunities and challenges for companies. Over-
all, digital marketing offers a tremendous variety of concepts and approaches to seize respective opportunities
and deal with related challenges, which will be largely highlighted and discussed in this course.","This course provides a broad overview about these new approaches of digital marketing. It explains the underly-
ing concepts of digital marketing and illustrates these approaches and concepts along numerous case studies.
After attending this course, students will have a broad as well as in-depth understanding of digital marketing
and its tools. Morever, they will understand of how to implement these tools successfully in business practice.","V (2) + Ü (2)
Module taught in: English","a) written examination (approx. 60 to 120 minutes) or b) term paper (15 to 20 pages)
Language of assessment: English
creditable for bonus",--,--,150 h,--,--
Digital Marketing II,12-M-DM2-182-m01,Faculty of Business Management and Economics,Holder of the Junior Professorship of Digital Marketing and,5,numerical grade,1 semester,graduate,"Students are required to put themselves in the following business situation:
A large corporation has just recruited you and your team members as the new heads of the marketing depart-
ment in one of the firm’s divisions in order to manage its general and digital marketing activities. Specifically,
it is your task to manage the corporation’s digital product portfolio, segmentation and positioning as well as its
marketing mix strategy over a period of 10 years.
Structure of the class:
• Long-term business simulation game (details see below) that students will play in groups
• Lectures and discussion rounds on strategic approaches to succeed over a duration of 10 periods","Studierende lernen in diesem Kurs, zentrale Konzepte des Online- und Offline-Marketings gezielt und bezogen
auf die jeweilige Unternehmenssituation anzuwenden. Der Kurs bildet somit die Brücke zwischen Theorievermitt-
lung und entsprechende Anwendung in der Unternehmenspraxis.","V (2) + Ü (2)
Module taught in: English","a) written examination (approx. 60 to 120 minutes) or b) term paper (15 to 20 pages)
Assessment offered: In the semester in which the course is offered
Language of assessment: English
creditable for bonus",--,--,150 h,--,--
E-Commerce I,12-M-EC1-182-m01,Faculty of Business Management and Economics,Holder of the Junior Professorship of Digital Marketing and,5,numerical grade,1 semester,graduate,"E-commerce is a highly relevant field for almost all types of companies. However, the ecommerce approaches
and strategies applied by companies differ strongly depending on the respective firm context (e.g., in terms of in-
dustry, types of customers, types of products). In this seminar, students analyze the specific e-commerce strat-
egy of a selected firm. In doing so, they evaluate the strategies’ current and future potential and make suggesti-
ons for improvements and for addressing future trends. Furthermore, each lecture session will contain short pre-
sentations where the students (in groups) will either apply selected lecture topics to real-world business cases
or present the core aspects of research articles dealing with e-commerce topics in general.","This class enables students to gain insights into real-life e-commerce strategies and to train their abilities in as-
sessing business strategies.","V (2) + Ü (2)
Module taught in: English","a) written examination (approx. 60 to 120 minutes) or b) term paper (15 to 20 pages)
Language of assessment: English
creditable for bonus",--,--,150 h,--,--
E-Commerce II,12-M-EC2-182-m01,Faculty of Business Management and Economics,Dean of the Faculty of Business Management and Econo-,5,numerical grade,1 semester,graduate,"E-commerce is a highly relevant field for almost all types of companies. However, the ecommerce approaches
and strategies applied by companies differ strongly depending on the respective firm context (e.g., in terms of in-
dustry, types of customers, types of products). In this seminar, students analyze the specific e-commerce strat-
egy of a selected firm. In doing so, they evaluate the strategies’ current and future potential and make suggesti-
ons for improvements and for addressing future trends. Furthermore, each lecture session will contain short pre-
sentations where the students (in groups) will either apply selected lecture topics to real-world business cases
or present the core aspects of research articles dealing with e-commerce topics in general.","This class enables students to gain insights into real-life e-commerce strategies and to train their abilities in as-
sessing business strategies.","V (2)
Module taught in: English","a) written examination (approx. 60 to 120 minutes) or b) term paper (15 to 20 pages)
Assessment offered: In the semester in which the course is offered
Language of assessment: English
creditable for bonus",--,--,150 h,--,--
Real-Time Process Analytics,12-M-RTP-182-m01,Faculty of Business Management and Economics,Dean of the Faculty of Business Management and Econo-,5,numerical grade,1 semester,graduate,"The course teaches advanced approaches to process analytics. Students will learn to model and measure pro-
cesses and process execution based on past and present data.","After successfully completing the course, students should be able to
• Understand process modeling and process execution in an SOA
• OLAP analysis in a process warehouse
• Business Rules for BPM
• Complex Event Processing
• Event-driven BPM using CEP and Business Rules","V (2) + Ü (2)
Module taught in: English","a) written examination (approx. 60 minutes) or b) term paper (approx. 15 pages)
Assessment offered: In the semester in which the course is offered
Language of assessment: German and/or English
creditable for bonus",--,--,150 h,--,--
Topics in Data Science,12-M-TDS-182-m01,Faculty of Business Management and Economics,Holder of the Chair of Business Analytics,5,numerical grade,1 semester,graduate,"Data science is concerned with extracting knowledge and valuable insights from data assets. It is an emerging
field that is currently in high demand in both academia and industry. This course provides a practical introducti-
on to the full spectrum of data science techniques spanning data acquisition and processing, data visualization
and presentation, creation and evaluation of machine learning models.
The course focuses on the practical aspects of data science, with emphasis on the implementation and use of
the above techniques. Students will complete programming homework assignments that emphasize practical
understanding of the methods described in the course.","Topics covered include:
• Data acquisition and processing
• graph and network models
• text analysis
• working with geospatial data
• Usage of machine learning models (supervised and unsupervised)","V (2) + Ü (2)
Module taught in: English","a) written examination (approx. 60 minutes) or b) term paper (approx. 15 pages)
Assessment offered: In the semester in which the course is offered
Language of assessment: German and/or English
creditable for bonus",--,--,150 h,--,--
Topics in Information Systems 1,12-M-TIF1-182-m01,Faculty of Business Management and Economics,Dean of the Faculty of Business Management and Econo-,5,numerical grade,1 semester,graduate,"This module serves the purpose of transferring credits from
• courses taken at other German or non-German universities
• additional courses offered on a short-term basis
• courses offered by new Chairs that are yet to be included in the FSB (subject-specific provisions)
The holders of the respective Chairs will ensure that the courses are eligible for credit transfer.","As a result of accrediting multiple kinds of modules, a description of acquired skills cannot be given.",V (2) + Ü (2),"a) written examination (approx. 60 minutes) or b) oral examination (one candidate each: 10 to 15 minutes;
groups of 2: approx. 20 minutes; groups of 3: approx. 30 minutes) or c) term paper (approx. 15 to 20 pages)
Assessment offered: In the semester in which the course is offered
Language of assessment: German and/or English
creditable for bonus",--,--,150 h,--,--
Topics in Information Systems 2,12-M-TIF2-182-m01,Faculty of Business Management and Economics,Dean of the Faculty of Business Management and Econo-,5,numerical grade,1 semester,graduate,"This module serves the purpose of transferring credits from
• courses taken at other German or non-German universities
• additional courses offered on a short-term basis
• courses offered by new Chairs that are yet to be included in the FSB (subject-specific provisions)
The holders of the respective Chairs will ensure that the courses are eligible for credit transfer.","As a result of accrediting multiple kinds of modules, a description of acquired skills cannot be given.",V (2) + Ü (2),"a) written examination (approx. 60 minutes) or b) oral examination (one candidate each: 10 to 15 minutes;
groups of 2: approx. 20 minutes; groups of 3: approx. 30 minutes) or c) term paper (approx. 15 to 20 pages)
Assessment offered: In the semester in which the course is offered
Language of assessment: German and/or English
creditable for bonus",--,--,150 h,--,--
Stochastic Models for Risk Analysis,12-RM-RA-192-m01,Faculty of Business Management and Economics,Dean of Studies Mathematik (Mathematics),5,numerical grade,1 semester,graduate,"Point and interval estimation for the value at risk Point and interval estimation for the conditional value at risk
Prediction of value at risk in time series Risk of forecasts in time series, in particular exponential smoothing un-
der covariates Conditional heteroscedasticity: ARCH, GARCH, EGARCH, DVEC, BEKK, DCC Aggregated losses and
their empirical analysis Empirical analysis of statistical distributions Nonparametric bounds for the value at risk
and conditional value at risk Empirical estimation of nonparametric bounds for value at risk and conditional va-
lue at risk Market model: definition, derivation, parameters, empirical analysis Capital asset pricing model: de-
finition, parameters, empirical analysis Asset portfolios: definition, risk parameters Estimation of portfolio para-
meters: variance, value at risk, conditional value at risk, shortfall Optimum portfolios: concepts, theory, numeri-
cal analysis","The student is able to estimate risk measures and the parameters of risk models from data. In particular, the stu-
dent knows software packages and routines which enable empirical risk evaluation in a business context.",Ü (2) + V (2),Written examination (approx. 60 minutes),"30 places.
Should the number of applications exceed the number of available places, places will be allocated as follows:
(1) Master's students of Information Systems will be given preferential consideration.
(2) The remaining places will be allocated to students of other subjects.
(3) When places are allocated in accordance with (1) and (2) and the number of applications exceeds the number
of available places, places will be allocated by lot among applicants from this group.",--,150 h,--,--
Stochastic Models for Risk Assessment,12-RM-RW-192-m01,Faculty of Business Management and Economics,Dean of Studies Mathematik (Mathematics),5,numerical grade,1 semester,graduate,"Etymological background of the risk concept Definitions of risk Basic concepts and terminology of stochastic risk
modelling: risk phenomenon, risk object, risk variable, risk source, risk factor, risk cause, direct peril, indirect
peril, loss under risk, profit under risk, loss variable, profit variable, risk distribution, risk indicator, risk parame-
ter Classification of business risks Risk policy, risk management Risk analysis: risk identification, risk descrip-
tion, risk exploration, risk-relevant measurements, risk evaluation, risk assessment, risk modelling Risk mana-
gement: risk minimisation, risk protection, risk avoidance, risk mitigation, bearing of risk, risk prevention Risk
control, risk monitoring Norms and standards of risk management: ISO 31000, ONR 49000 -- 49004, IEC/ISO
31010, COSO II, AIRMIC, IRM, ALARM FMEA (Failure Mode and Effect Analysis) as a tool of risk analysis and risk
assessment: historical and thematic background, methodology, discussion of the FMEA assessment methodo-
logy Risk matrix, risk diagram Score diagram Stochastic risk parameters and risk measures as distribution para-
meters Probability distributions: Gaussian, Laplace, Student's t, extreme value, logistic, exponential, Weibull,
gamma, negative Gaussian, Burr, hyperbolic, generalised hyperbolic Elementary stochastic risk measures: va-
riance, standard deviation, signal-to-noise ratio, coefficient of variation, Sharpe ratio, nonconformance probabi-
lity, expected shortfall, shortfall probability, risk parameters under reference values, Stone family Value at Risk
and Conditional Value at Risk: definition, formal representations, values under special probability distributions
Axioms of risk measures: distribution invariance, subadditivity, superadditivity, additivity, comonotonous additi-
vity, nonnegative homogeneity, translation invariance, convexity, continuity, coherence","The student knows the schemes and concepts of risk analysis, risk assessment, risk measurement, and the
theoretical background. The student knows the concepts of advanced stochastic risk modeling. In a practical
business situation, the student is able to identify an appropriate scheme of risk assessment and corresponding
meaningful risk measures.",V (2) + Ü (2),Written examination (approx. 60 minutes),"30 places.
Should the number of applications exceed the number of available places, places will be allocated as follows:
(1) Master's students of Information Systems will be given preferential consideration.
(2) The remaining places will be allocated to students of other subjects.
(3) When places are allocated in accordance with (1) and (2) and the number of applications exceeds the number
of available places, places will be allocated by lot among applicants from this group.",--,150 h,--,--
Communication in Business and Economics,12-M-BUC-182-m01,Faculty of Business Management and Economics,Holder of the Professorship of Economic Journalism,5,numerical grade,1 semester,graduate,"The lecture names introductory relevant communication models. Furthermore, the theoretical models of PR are
discussed. The added value of communication for companies, business, politics, and science is explained. The
discrepancy between journalism and PR is discussed, as well as the basic elements, instruments, goals, and
forms of PR. The preparation and implementation of press meetings, conferences, campaigns, and events will
be systematically explained, and the central aspects of corporate communications will be outlined. The exerci-
se deals with the practical implementation of journalistic styles in the various media and provides an overview of
the possibilities and concepts of PR work across different media and target groups.","After participating in the module courses, students are able to understand and apply PR and its forms, elements
as well as methods and in a holistic context. Students learn professional competencies in the field of (business)
communication with regard to reflection, argumentation, and exchange as a PR consultant in different areas. In
addition, students will be able to apply concrete PR instruments in practice and prepare them professionally.","V (2) + Ü (2)
Module taught in: English","written examination (approx. 60 minutes)
Language of assessment: English
creditable for bonus",--,--,150 h,--,--
"Business Communication in Print, Online and Social Media",12-M-ECC-182-m01,Faculty of Business Management and Economics,Holder of the Professorship of Economic Journalism,5,numerical grade,1 semester,graduate,"This module focuses on the relationship of offer characteristics with benefit aspects for the end consumer and
the business models on the part of the providers. Starting from the basics of editorial work and professional text
management, the new forms of communication management in social networks are presented. The focus of the
lecture is on the use of social media in campaigns (Facebook, Twitter, Instagram, Tiktok). There will also be exer-
cises on various Web 2.0 applications (e.g. online social networks) and on the collection and interpretation of
online market research data. However, crisis communication of companies will also be covered in particular opi-
nion-makers on the web as well as protest culture on the web.","By participating in the module courses, students acquire job-specific skills in research and interviewing. Stu-
dents are able to collect and organize information according to criteria of topicality and relevance. In addition,
students are taught journalistic expertise so that they are able to recognize the forms of presentation of news, re-
ports, and background reports with their media characteristics and communicative functions in different media
genres and create them themselves. Students will be able to prototype and design a social media campaign, de-
scribe the editorial and technical approach including feedback, response, and customer engagement. In additi-
on, students will be able to design counter-strategies for corporate communication crises.",V (2) + Ü (2),"written examination (approx. 60 minutes)
Language of assessment: German and/or English
creditable for bonus",--,--,150 h,--,--
Managerial Practice Lectures,12-M-VGP-202-m01,Faculty of Business Management and Economics,Holder of the Professorship of Economic Journalism,5,numerical grade,1 semester,graduate,"In this lecture, we invite board members of publicly listed companies, SMEs and Startups to discuss contempo-
rary challenges of corporate management.
Students gain sustainable insights into current management practices, challenges of corporate management in
various industries, and discuss pressing managerial issues with C-level executives. In individual and group as-
signments, students are required to connect management theories with the managerial challenges of the spea-
kers.
Managers of the different companies are required to address the following questions that will foster a detailed
discussion at the end of each lecture:
- What are the current challenges facing your company?
- Which strategies do you employ to respond to these challenges?
- How have leadership concepts and approaches changed in your company?","After participating in this module, students should be able to combine theoretical approaches with current chal-
lenges in management. The students obtain a realistic insight into a cross-section of the German economy.
Through discussions reports and group presentations students’ social skills are trained in addition to professio-
nal skills.",S (2),"portfolio (approx. 15 pages)
Language of assessment: German and/or English",--,--,150 h,--,--
Advanced Topics in Data Science,12-M-ATDS-211-m01,Faculty of Business Management and Economics,Holder of the Chair of Business Analytics,5,numerical grade,1 semester,graduate,"In this course, students work on advanced data science projects. The course covers the entire data science work-
flow from data collection to data preparation to modeling, evaluation and deployment. By following a top-down
teaching approach, students are enabled to apply complex machine learning models from the beginning.","As part of the course work, students will acquire knowledge and skills in the following areas:
1. Becoming familiar with the principles and frameworks in the research area of Data Science.
2. Apply machine learning and deep learning frameworks to structured and unstructured data
3. Design, implementation and evaluation of key algorithms within an end-to-end workflow in the field of Data
Science
4. Application of Jupyter notebooks and their infrastructure (collection, storage, retrieval, and analysis of data)
5. Understanding of a data-driven & analytical approach to decision problems","V (2) + Ü (2)
Module taught in: English","a) written examination (approx. 60 minutes) or
b) term paper (approx. 15 pages)
Language of assessment: German and/or English
Assessment offered: Only when announced in the semester in which the courses are offered
creditable for bonus",--,--,150 h,--,--
International Marketing Strategy,12-M-IMS-211-m01,Faculty of Business Management and Economics,Dean of the Faculty of Business Management and Econo-,5,numerical grade,1 semester,graduate,"The objective of this simulation course is to develop hands-on skills of how to make international marketing de-
cisions. Emphasis is put on the computer simulation game Country Manager which focuses on the managerial is-
sues arising when companies plan and execute market entry into new countries. This exercise allows students to
experience the challenges pertaining to corresponding decisions by playing the role of a responsible manager for
a major consumer products company. Students have to decide on the countries to enter, the mode of entry, the
segments to target, and every aspect of the marketing mix (price, promotion, place and product) and will get im-
mediate feedback on the consequences of their actions.","After completion of the course, participants should have gained a broad appreciation of critical decisions in in-
ternational marketing.",S (2),"a) written examination (40 to 60 minutes) or
b) term paper (15 to 20 pages) and presentation (approx. 20 minutes) (weighted 2:1) or
c) term paper (30 to 40 pages) or
d) portfolio (approx. 20 pages)
Language of assessment: German and/or English",--,--,150 h,--,--
Economist Practice Lectures,12-M-VWP-211-m01,Faculty of Business Management and Economics,"Holder of the Senior Professorship for Economics, Money",5,numerical grade,1 semester,graduate,"The content of the seminar is the active participation in as well as the follow-up of the lectures of economists
from different national and international fields of activity, which are organized for the event.
The invitation of speakers from practice strengthens the practical orientation of the scientifically founded and at
the same time internationally oriented education at the faculty of economics of the University of Würzburg.
In this way, students will gain lasting insights into the fields of activity of economists, gain an insight into prac-
tical activities, discuss these with high-ranking economists and combine them with theoretical economic know-
ledge gained during their studies.","By participating in the seminar, Master's students of the faculty of economics and business administration
should get to know the different fields of activity of economists and the questions that determine the daily work
of the speakers in the course of the lectures.
In addition, the participants of the seminar will have the opportunity to apply the knowledge of economics they
have acquired during their studies. For this purpose, in addition to a discussion with the speakers following the
respective lecture, a debating workshop is offered to the participants of the seminar, in which the students are to
learn economic argumentation and debate management. The learned contents and competencies will be tested
at the end of the semester.",S (2),"a) oral examination (one candidate each: approx. 10 to 15 minutes, groups of 2: approx. 20 minutes, groups of 3:
approx. 30 minutes) or
b) term paper (approx. 10 pages) and presentation (approx. 15 minutes); (weighted 2:1) or
c) written examination (approx. 60 minutes)
Language of assessment: German and/or English",--,--,150 h,--,--
Enterprise AI,12-M-EAI-221-m01,Faculty of Business Management and Economics,Holder of the Chair of Business Management and Business,5,numerical grade,1 semester,nan,--,--,V (2) + Ü (2),"a) written examination (approx. 60 minutes) or
b) term paper (approx. 15 pages) or
c) oral examination of one candidate each (approx. 20 minutes)
Language of assessment: German and/or English
creditable for bonus",--,--,150 h,--,--
Information Systems and Artificial Intelligence 1,12-M-KI1-221-m01,Faculty of Business Management and Economics,Holder of the Chair of Business Management and Business,5,numerical grade,1 semester,nan,--,--,V (2) + Ü (2),"a) written examination (approx. 60 minutes) or
b) oral examination in groups of up to 3 candidates (approx. 10 minutes per candidate) or
c) term paper (approx. 15 to 20 pages)
Language of assessment: German and/or English
Assessment offered: In the semester in which the course is offered
creditable for bonus",--,--,150 h,--,--
Information Systems and Artificial Intelligence 2,12-M-KI2-221-m01,Faculty of Business Management and Economics,Holder of the Chair of Business Management and Business,5,numerical grade,1 semester,nan,--,--,V (2) + Ü (2),"a) written examination (approx. 60 minutes) or
b) oral examination in groups of up to 3 candidates (approx. 10 minutes per candidate) or
c) term paper (approx. 15 to 20 pages)
Language of assessment: German and/or English
Assessment offered: In the semester in which the course is offered
creditable for bonus",--,--,150 h,--,--
Vertical Storytelling,12-M-VS-221-m01,Faculty of Business Management and Economics,nan,10,numerical grade,1 semester,nan,--,--,S (2),"portfolio (approx. 5 pages)
Assessment offered: every year, summer semester",--,--,300 h,--,--
Organizational Economics and Digital Transformation,12-M-OEDT-231-m01,Faculty of Business Management and Economics,nan,5,numerical grade,1 semester,nan,--,--,"V (2) + Ü (2)
Module taught in: English","a) written examination (approx. 60 minutes) or b) term paper (approx. 15 pages)
Language of assessment: English
Creditable for bonus",--,--,150 h,--,--
Policy Evaluation Methods,12-M-PEM-182-m01,Faculty of Business Management and Economics,Holder of the Chair of Labor Economics,5,numerical grade,1 semester,graduate,"This course offers an introduction to the fundamentals of causal inference and to widely used research desi-
gns in the social sciences. In the first part a framework for understanding causality is introduced. Specifically,
the epistemological differences between association, intervention and counterfactuals are explained. Then it is
shown why experiments are paramount in generating causal knowledge and which assumptions are needed for
which level of the causal hierarchy. Finally, we will discuss two widely used approaches to causality in the social
sciences, i.e. potential outcomes and directed acyclic graphs.
The second part is devoted to the research designs regressions analysis, difference-in-differences, instrumen-
tal variables, and regression discontinuity. The emphasis is how these research designs are for example applied
to answer important questions in labour economics such as the effects of a minimum wage increase on employ-
ment or the effect of children on female labour supply and wages.
The assumptions each research design requires in order to identify a causal effect will be at center stage of the
lecture. Therefore the emphasis is to teach students what one needs to estimate in order to answer a given que-
stion. Further, the research designs are discussed such that students will be able to evaluate and apply these re-
search designs to other questions and fields.","At the end of the course, students should be able to understand basic concepts and methods of causal infe-
rence, as well as read, interpret, and assess the credibility of scientific publications. In addition, the course ser-
ves as preparation for advanced statistics and econometrics courses.","V (2) + Ü (2)
Module taught in: English","a) written examination (approx. 60 minutes) or b) term paper (approx. 15 pages)
Language of assessment: English
creditable for bonus",--,Research track module in Master's programme IEP,150 h,--,--
Topics in Empirical Economics,12-M-TE-231-m01,Faculty of Business Management and Economics,nan,5,numerical grade,1 semester,nan,--,--,"V (2) + Ü (2)
Module taught in: English","portfolio (approx. 50 hours)
Prüfungssprache: Englisch
Creditable for bonus","12 *WA1(1) Should the number of applications exceed the number of available places, places will be allocated by
lot among all applicants irrespective of their subjects.
(2) Places on all courses of the module with a restricted number of places will be allocated in the same procedu-
re.
(3) A waiting list will be maintained and places re-allocated by lot as they become available.",--,150 h,--,--
Systems Benchmarking,10-I=SB-212-m01,Institute of Computer Science,holder of the Chair of Computer Science IX,5,numerical grade,1 semester,nan,--,--,V (2) + Ü (2),"written examination (approx. 60 to 120 minutes).
If announced by the lecturer at the beginning of the course, the written examination may be replaced by an oral
examination of one candidate each (approx. 20 minutes) or an oral examination in groups of 2 candidates (ap-
prox. 15 minutes per candidate).
creditable for bonus
Language of assessment: German and/or English",--,"Focuses available for students of the Master's programme Informatik (Computer Science, 120 ECTS credits):
SE,IT,ES,HCI,GE",150 h,--,--
Computer Vision,10-xtAI=CV-202-m01,Institute of Computer Science,Dean of Studies Informatik (Computer Science),5,numerical grade,1 semester,graduate,"The lecture provides knowledge about current methods and algorithms in the field of computer vision. Important
basics as well as the most recent approaches to image representation, image processing and image analysis are
taught. Actual models and methods of machine learning as well as their technical backgrounds are presented
and their respective applications in image processing are shown.","Students have fundamental knowledge of problems and techniques in the field of computer vision and are able
to independently identify and apply suitable methods for concrete problems.","V (2) + Ü (2)
Module taught in: English","Written examination (approx. 60 to 120 minutes)
If announced by the lecturer at the beginning of the course, the written examination may be replaced by an oral
examination of one candidate each (approx. 20 minutes) or an oral examination in groups of 2 candidates (ap-
prox. 15 minutes per candidate).
Language of assessment: English
Creditable for bonus",--,--,150 h,--,--
Image Processing and Computational Photography,10-I=IP-222-m01,Institute of Computer Science,nan,5,numerical grade,1 semester,nan,--,--,"V (2) + Ü (2)
Module taught in: English","written examination (approx. 60 to 120 minutes)
If announced by the lecturer at the beginning of the course, the written examination may be replaced by an oral
examination of one candidate each (approx. 20 minutes) or an oral examination in groups of 2 candidates (ap-
prox. 15 minutes per candidate).
Language of assessment: English
Creditable for bonus",--,--,150 h,--,--
Multilingual NLP,10-I=MNLP-232-m01,Institute of Computer Science,nan,5,numerical grade,1 semester,nan,--,--,"V (2) + Ü (2)
Module taught in: German and/or English","written examination (approx. 60 to 120 minutes)
If announced by the lecturer at the beginning of the course, the written examination may be replaced by an oral
examination of one candidate each (approx. 20 minutes) or an oral examination in groups of 2 candidates (ap-
prox. 15 minutes per candidate).
Language of assessment: English
Creditable for bonus",--,--,150 h,--,--
Statistical Network Analysis,10-I=SNA-232-m01,Institute of Computer Science,holder of the Chair of Computer Science XV,5,numerical grade,1 semester,graduate,"Networks matter! This holds for technical infrastructures like communication or transportation networks, for in-
formation systems and social media in the World Wide Web, but also for various social, economic and biologi-
cal systems. What can we learn from data that capture the interaction topology of such complex systems? What
is the role of individual nodes and how can we discover significant patterns in the structure of networks? How do
these structures influence dynamical process like diffusion or the spreading of epidemics? Which are the most
influential actors in a social network? And how can we analyze time series data on systems with dynamic net-
work topologies?
Addressing those questions, the course combines a series of lectures -- which introduce fundamental concepts
for the statistical modelling of complex networks -- with weekly exercises that show how we can apply them to
practical network analysis tasks. Topics covered include foundations of graph theory, centrality and modulari-
ty measures, aggregate statistical characteristics of large networks, random graphs and statistical ensembles
of complex networks, generating function analysis of expected graph properties, scale-free networks, stocha-
stic dynamics in networks, spectral analysis, as well as the modelling of time-varying networks. The course ma-
terial consists of annotated slides for lectures as well as a accompanying git-Repository of jupyter notebooks,
which implement and validate the theoretical concepts covered in the lectures. Students can test and deepen
their knowledge through weekly exercise sheets. The successful completion of the course requires to pass a final
written exam.","The course will equip participants with statistical network analysis techniques that are needed for the data-dri-
ven modelling of complex technical, social, and biological systems. Students will understand how we can quan-
titatively model the topology of networked systems and how we can detect and characterize topological pat-
terns. Participants will learn how to use analytical methods to make statements about the expected properties of
very large networks that are generated based on different stochastic models. They further gain an analytical un-
derstanding of how the structure of networks shapes dynamical processes, how statistical fluctuations in degree
distributions influence the robustness of systems, and how emergent network features emerge from simple ran-
dom processes.","V (2) + Ü (2)
Module taught in: English","written examination (approx. 60 to 120 minutes).
If announced by the lecturer at the beginning of the course, the written examination may be replaced by an oral
examination of one candidate each (approx. 20 minutes) or an oral examination in groups of 2 candidates (ap-
prox. 15 minutes per candidate).
Language of assessment: German and/or English
creditable for bonus",--,"Focuses available for students of the Master's programme Informatik (Computer Science, 120 ECTS credits):
IN",150 h,--,--
Operations Research,10-I=OR-232-m01,Institute of Computer Science,nan,5,numerical grade,1 semester,nan,--,--,"V (2) + Ü (2)
Module taught in: German and/or English","written examination (approx. 60 to 120 minutes)
If announced by the lecturer at the beginning of the course, the written examination may be replaced by an oral
examination of one candidate each (approx. 20 minutes) or an oral examination in groups of 2 candidates (ap-
prox. 15 minutes per candidate).
Language of assessment: German and/or English
creditable for bonus",--,"Focuses available for students of the Master's programme Informatik (Computer Science, 120 ECTS credits): IN",150 h,--,--
Machine Learning for Networks 1,10-I=MLN1-232-m01,Institute of Computer Science,nan,5,numerical grade,1 semester,nan,--,--,"V (2) + Ü (2)
Module taught in: English","written examination (approx. 60 to 120 minutes)
If announced by the lecturer at the beginning of the course, the written examination may be replaced by an oral
examination of one candidate each (approx. 20 minutes) or an oral examination in groups of 2 candidates (ap-
prox. 15 minutes per candidate).
Language of assessment: English
creditable for bonus",--,"Focuses available for students of the Master's programme Informatik (Computer Science, 120 ECTS credits):
AT,IT,SE,KI,HCI,IN",150 h,--,--
Data Science,10-I=DM-232-m01,Institute of Computer Science,holder of the Chair of Computer Science IX,5,numerical grade,1 semester,graduate,"Foundations in the following areas: definition of data mining and knowledge discovery in databases, process
model, relationship to data warehouse and OLAP data preprocessing, data visualisation, unsupervised learning
methods (cluster- and association methods), supervised learning (e. g. Bayes classification, KNN, decision trees,
SVM), learning methods for special data types, further learning paradigms.","The students possess a theoretical and practical knowledge of typical methods and algorithms in the area of da-
ta mining and machine learning. They are able to solve practical knowledge discovery problems with the help of
the knowledge acquired in this course and by using the KDD process. They have acquired experience in the use
or implementation of data mining algorithms.",V (2) + Ü (2),"written examination (approx. 60 to 120 minutes).
If announced by the lecturer at the beginning of the course, the written examination may be replaced by an oral
examination of one candidate each (approx. 20 minutes) or an oral examination in groups of 2 candidates (ap-
prox. 15 minutes per candidate).
Language of assessment: German and/or English
creditable for bonus",--,"Focuses available for students of the Master's programme Informatik (Computer Science, 120 ECTS credits):
IT,KI,HCI,GE,SEC",150 h,--,--
Master Thesis Information Systems,12-WI-MA-192-m01,Faculty of Business Management and Economics,Dean of the Faculty of Business Management and Econo-,30,numerical grade,1 semester,graduate,"Students will complete their degree with a Master's thesis in which they will be required to independently rese-
arch and write on a topic in the area of business management and economics, drawing on the subject-specific
knowledge they have acquired and adhering to the principles of good scientific practice. This thesis may either
take the form of an analysis and structured presentation of the existing literature on a certain topic or may, as is
often the case, also include a presentation of the students' own original achievements, e. g. new algorithms de-
veloped by students, surveys, the prototypical demonstration of a concept they developed or the application and
(further) development of a theoretical model.","In the master thesis students prove that they can plan and carry out a science-based work to solve a particular
problem within a specified period autonomously and to document the results in accordance with the professio-
nal scientific standards in writing. Students are able to understand relevant contributions to research and pro-
fessional practice, critically analyze and assess the relevance to their own specific questions. They can assess
and recognize major lines of development and dynamics of the subject and therefore also the need to retrain
continuously.",--,"Master's thesis (approx. 60 to 80 pages)
Language of assessment: German and/or English",--,Time to complete: 6 months,900 h,--,--
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