dipopotamus/custom_instruct_coursera_course_module_list huggingface dataset:
Course: Introduction to Applied Cryptography
Modules:
Introduction to the course, How to setup a study journal, Introduction to cryptography, Physical world security services, Core services, Week 1 summary
Introduction to applications of cryptography, Introduction to the Big Six, Wi-Fi services, Week 2 summary
Introduction to cryptosystems, Algorithms and keys, How different types of cryptosystem are used, Week 3 summary
Introduction to attacking cryptosystems, Points of weakness, Two worlds, Week 4 summary, Course summary
Course: Asian American History and Identity: An Anti-Racism Toolkit
Modules:
Course Introduction, Introduction to Week 1, Jennifer Ho, CU Boulder, Nishant Upadhyay, CU Boulder
Introduction to Week 2, Daryl Maeda, CU Boulder, Chad Shomura, CU Denver, Faye Caronan, CU Denver
Introduction to Week 3, Angie Chuang, CU Boulder, Seema Sohi, CU Boulder
Course Conclusion
Course: Using Data Analytics in Supply Chain
Modules:
Welcome to supply chain data analyst professional certificate, Welcome to using data analytics in supply chain, Data basics and why data governance matters, How I use data analytics, Introduction to data, Data main sources, The importance of data quality, Introduction to supply chain data analysis, Supply chain data analysis process, Types of data, Organize and format, Using spreadsheets in data analysis: Functions and formulas, Using spreadsheets in data analysis: Pivot tables and macros, Introduction to data governance, Data governence framework, Adhering to data governance policies, Data ethics
Welcome to define the data objective, Identify your data analysis objectives, Identify your questions to be answered, Identify the sources of data, Define and obtain the data, Gather the data, Introduction to data preparation, Data cleansing part 1, Data cleansing part 2, Impact of bad data, Using spreadsheets to clean the data, Fill the gaps in data
Welcome to analyze, validate, and intepret the data, How to analyze the data, How to apply calculations using spreadsheets, How to apply summarizations using spreadsheets, How to apply averages using spreadsheets, How to apply classifications of information using spreadsheets, Introduction to data validation, Types of data validation, How to perform data validation, Steps to take if errors exist, How to interpret the data, How to explain the data, Reporting the findings
Welcome to data visualization, Introduction to data visualization, Charts or graphs, Tables, Dashboards, Geospatial visualization, Introduction to storytelling, How to tell a story, Define your audience, Using visualization tools in storytelling, Determine the best presentation method
Presentation skills basics, Effective presentation skills: Physical, Effective presentation skills: Verbal, Create your presentation: Google Slides or PowerPoint, Create your presentation: Tableau, Create your presentation: Power BI
Course: Liderança Criativa e Inclusiva
Modules:
Liderança e Criatividade, Conceitos de Criatividade, Pensamento Criativo, Entendendo através da Prática, Demanda por Criativos, Habilidades do Futuro
Tipos de Pensamento, Reconceituando os Pensamentos Rápido, Mitos da Criatividade, Nosso Censurador Interno: Exercícios Práticos 1, Nosso Censurador Interno: Exercícios Práticos 2, Estados Mentais, Exercícios Extras
Aula 1 | Hábitos e Modelos Mentais, Mudanças de Hábitos Mentais, Aula 3 | A Criatividade no Cérebro, Pensamentos Divergentes e Convergentes, Mecanismos Cerebrais Inconscientes, Exercícios para o Cérebro Criativo
Inovação e Pensamento Criativo, Conceitos de Economia Criativa, Ideação: Desenvolvimento de Ideias na Organização, Estimule sua Equipe a Conhecer sua Caixa, E como ficamos daqui para frente?
Course: Black Agricultural Solutions to Food Apartheid: A Teach-Out
Modules:
Introduction to Black Agricultural Solutions to Food Apartheid, Land is at the Center
A Brief History of Structural Racism Experienced by Black Farmers
Community Resistance to Disinvestment and Structural Racism, Community Solutions to Food Apartheid
Philly's Threatened Gardens and Advocacy Efforts, Part 1, Philly's Threatened Gardens and Advocacy Efforts, Part 2
Honoring the Spirit of the Land, Stewarding from the Spirit: Sacredness of Soil, Stewarding from the Spirit: Honoring Roots and Relationships, Stewarding from the Spirit: Planting with Intention, Stewarding from the Spirit: Pollinators and "Pests", Stewarding from the Spirit: Crops of the African Diaspora
Resources For Your Gardening Journey
Course: Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions
Modules:
Meet the Professor, Descriptive Statistics, Descriptive Statistics Continued, Introduction to the Box Plot and Standard Deviation, The Standard Deviation "Rule of Thumb", Testing the "Rule of Thumb", Chebyshev's Theorem, Week 1 Recap
Covariance, Correlation, Causation, Probability and Random variables, Statistical Distributions, Week 2 Recap
Probability Density Function and Area Under the Curve, The Normal Distribution, The NORM.DIST Function, The NORM.DIST Function Continued, The NORM.INV Function
Applying the Normal Distribution, Standard Normal Distribution, Population and Sample data, Central Limit Theorem, The Binomial Distribution, Business Application of the Binomial Distribution, Poisson Distribution, Weeks 3 and 4 Recap
Course: ¿Cómo convertir mi idea en empresa?
Modules:
Video: Bienvenida al curso, Video: Carolina Medina – Fundadora de Agruppa, Video: Un viaje de mil millas, Video: Tus fortalezas ante el emprendimiento, Video - Carolina responde: ¿Cómo vio una oportunidad que otros no vieron?, Video: ¿Qué hay en mi entorno?, Video: ¿De dónde nace la oportunidad?
Video: De la necesidad al prototipo, Video – Carolina responde: ¿De dónde salió la idea de su negocio?, Video: Identificación del consumidor y sus necesidades (JTBD), Video - Carolina responde: ¿Inicialmente, cuáles creía que eran los beneficios fundamentales de su producto?, Video: ¿Qué es un negocio?, Video: ¿Qué es un prototipo?, Video - Carolina responde: ¿Cuáles fueron y qué aprendió de los primeros prototipos que usó?
Video: Introducción a validación de tu prototipo, Video - Carolina responde: ¿Cuál fue la importancia de haberse propuesto la meta de vender?, Video:¿Cómo validar mi prototipo?
Video: No fracases, aprende, Video - Carolina responde: ¿Cuántos prototipos realizó?
Video: Introducción al módulo 5, Video - Carolina responde: ¿Cuáles fueron las dificultades más importantes y cómo las venció?
Video: Del aprendizaje a la acción - planes para el futuro, Video - Carolina responde: ¿Cómo ha aprendido usted a partir de la retroalimentación de otros?, Video: Conclusiones y progresos
Course: Active Listening: Enhancing Communication Skills
Modules:
Meet Your Instructor, What is Active Listening?, Connecting Through Empathetic Listening, The Power of Silence and Pauses, The Insights Gained Through Open-Ended Questions, Identifying Multiple Perspectives Using Reflective Listening, Improving Your Emotional Awareness During Everyday Conversations, Building Rapport Through Emotional Intelligence, Practicing Self-Awareness Through Emotional Regulation, Overcoming Cognitive Biases Using Non-Judgmental Listening, Analyzing Key Indicators of Body Language, Identifying the Importance of Eye Contact in Communication Exchanges, Applying Cultural Nuances in Nonverbal Communication, Applying Non-Verbal Cues Through Active Listening, Utilizing the Power of Conflict Resolution, Maintaining Composure During Emotional Conversations, Engaging in Reflecting Listening During Disagreements, Identifying Cultural Differences That Impact Norms and Values, Adapting Active Listening Techniques Across Cultures, Connecting with Global Audiences Using Active Listening, Conclusion and Takeaways
Course: Data Warehouse Concepts, Design, and Data Integration
Modules:
Course introduction video lecture, Course objectives video lecture, Course topics and assignments video lecture, Motivation and characteristics video lecture, Learning effects for data warehouse development video lecture, Data warehouse architectures and maturity video lecture, Data Warehouse Examples video lecture, Employment opportunities video lecture
Data cube representation video lecture, Data cube operators video lecture, Overview of Microsoft MDX video lecture, Microsoft MDX statements video lecture, Overview of WebPivotTable video lecture, WebPivotTable software demonstration
Relational database concepts for multidimensional data video lecture, Table design patterns video lecture, Summarizability patterns for dimension tables video lecture, Summarizability patterns for dimension-fact relationships video lecture, Schema integration video lesson, Data warehouse design methodologies video lecture, Mini case for data warehouse design video lecture
Concepts of data integration processes video lecture, Change data concepts video lecture, Data cleaning tasks video lecture, Pattern matching with regular expressions video lecture, Matching and consolidation video lecture, Quasi identifiers and distance functions for entity matching video lecture, SQL for data integration video lesson
Architectures and marketplace video lecture, Common features of data Integration tools video lecture, Talend Open Studio video lecture, Pentaho Data Integration video lecture, Software video demonstration for Pentaho Data Integration, Course conclusion video lecture
Course: بناء خطة التسويق |Building a Marketing Plan ‎
Modules:
مفهوم (Marketing Plan) وفوائد إعدادها الجزء الأول, مفهوم (Marketing Plan) وفوائد إعدادها الجزء الثاني, مثال على إعداد (Marketing Plan), مراحل عملية (Marketing Plan), الخطوة الأولى: تقييم الأداء الحالي (Current Performance Analysis), الخطوة الثانية: تحليل نقاط القوة ونقاط الضعف (SWOT Analysis), المرحلة الثانية: استراتيجية التسويق (Marketing Strategy), المرحلة الثالثة: خطة الأداء وتقييمها (Performance Plan), الخطوات التفصيلية لعناصر إستراتيجية التسويق, الخاتمة
Course: Serverless Data Processing with Dataflow: Pipelines - 日本語版
Modules:
コースの概要, Coursera: Google Cloud Platform と Qwiklabs を使用する
Beam の基礎, ユーティリティ変換, DoFn のライフサイクル
ウィンドウ, ウォーターマーク, トリガー
ソースとシンク, Text IO と File IO, BigQuery IO, PubSub IO, Kafka IO, BigTable IO, Avro IO, Splittable DoFn
Beam スキーマ, コードの例
State API, Timer API, 概要
スキーマ, 処理不可能なデータの処理, エラー処理, AutoValue コード生成ツール, JSON データ処理, DoFn ライフサイクルの活用, パイプラインの最適化
Dataflow と Beam SQL, SQL でのウィンドウ処理, Beam DataFrame
Beam ノートブック
コースのまとめ
Course: Statistics for Data Science with Python
Modules:
Welcome from your Instructors!, Python Packages for Data Science
Welcome to Statistics!, Types of Data, Measure of Central Tendency, Measure of Dispersion
Visualization Fundamentals, Statistics by Groups, Statistical Charts, Introducing the teacher's rating data
Random Numbers and Probability Distributions, State your hypothesis, Normal Distribution, T distribution, Probability of Getting a High or Low Teaching Evaluation
z-test or t-test, Dealing with tails and rejections, Equal vs unequal variances, ANOVA, Correlation tests
Regression - the workhorse of statistical analysis, Regression in place of  t - test, Regression in place of ANOVA, Regression in place of Correlation
Project Case Scenario, Overview of Project Tasks, Task 1: Become familiar with the dataset, Task 2: Generate Descriptive Statistics and Visualizations, Task 3: Use the appropriate tests to answer the questions provided., (Optional):Task 2: Create or Login into IBM cloud to use Watson Studio., (Optional): Load in the Dataset in your Jupyter Notebook, (Optional): Share your Jupyter Notebook.
Final Exam
IBM Digital Badge
Course: Gemini in Google Meet - 한국어
Modules:
Google Meet의 Gemini 소개, Gemini를 사용하여 배경 이미지 생성, 동영상 및 오디오 경험 개선, 활동 설명
Course: Business Applications of Hypothesis Testing and Confidence Interval Estimation
Modules:
Meet the Professor, Introducing the t-distribution, the T.DIST Function, t-distribution Continued, the T.INV Function, Introducing Confidence Interval, Introducing Confidence Interval (Continued), The z-statistic and the t-statistic, Using z- and t- statistics to Construct Confidence Interval, Week 1 Recap
Application of Confidence Interval, Confidence Interval for a Population Proportion, Sample Size Calculation, Sample Size Calculation (Continued), Hypothesis Testing, An Introduction, Week 2 Recap
The Logic of Hypothesis Testing, Conducting a Hypothesis Test, the Four Steps, Single Tail and Two Tail Hypothesis Tests, Guidelines, Formulas and an Application of Hypothesis Test, Hypothesis Test for a Population Proportion, Type I and Type II Errors in a Hypothesis Test, Week 3 Recap
Introducing the Difference-In-Means Hypothesis Test, Application of the Difference-In-Means Hypothesis Test, Application (Continued) - Equal & Unequal Variance Assumption, The Paired t-Test for Means, Some More Applications, Some More Applications (Continued), Week 4 Recap
Course: Lightcap 4: Light in indoor contexts  Effects & implications
Modules:
General Introduction Lightcap, Introductory video LIGHTCAP 4
Section 1.1, Section 1.2, Section 1.3, Section 1.4, Section 1.5, Section 1.6
Section 2.1, Section 2.2, Section 2.3, Section 2.4, Section 2.5
Section 3.1.1, Section 3.1.2-a, Section 3.1.2-b, Section 3.1.2-c, Section 3.1.3-a, Section 3.1.3-b, Section 3.1.3-c, Section 3.2.1, Section 3.2.2, Section 3.2.3-a, Section 3.2.3-b
Section 4.1, Section 4.2, Section 4.3, Section 4.4
Section 5.1, Section 5.2, Section 5.3, Section 5.4, Section 5.5
Section 6.1, Section 6.2, Section 6.3, Section 6.4
Section 7.1, Section 7.2, Section 7.3, Section 7.4, Section 7.5, Section 7.6, Section 7.7
Section 8.1, Section 8.2, Section 8.3, Section 8.4, Section 8.5, Section 8.6
Course: Computer Networking
Modules:
Course Overview, Instructor Welcome, Module 1 Introduction, OSI TCP Model, Switch Router, Network Topology
Module 2 Introduction, TCP and UDP, IP Addressing, Network Services
Module 3 Introduction, Wireless Technology, Wireless Security, IEEE
Summative Course Assessment
Course: Limpieza de datos para el procesamiento de lenguaje natural
Modules:
Universidad Austral, Introducción al curso, Etapas del Web Scraping, Problemas que pueden resolverse con Web Scraping, Problemas que pueden resolverse con Web Scraping - Conclusiones
HTML Parsing, Construcción de un parser, Tipo de Parsing
Parsing avanzado, Programación concurrente y programación distribuida, Programación de parsers avanzados
Presentación de las distintas fuentes de datos, Construcción de conectores para diversas fuentes de datos, Conectores de Web Scraping, Alternativas en la construcción de conectores
Course: Music's Big Bang: The Genesis of Rock 'n' Roll
Modules:
Class Introduction, An Art and a Business, A Threat to Mainstream American Culture, A Showcase of Technology, Linear Evolution
Intro: Popular Music in the Early 20th Century, Part 1: Country and Rural Blues; Early Jazz, Part 2: The Ladies of Risque or Hokum Blues, Part 3: Early Male Blues and Jazz Players, Part 4: The Spread of Country Music, Part 5: Country Gains Popularity: Bob Wills and Hank Williams, Part 6: On the Fringes: Black (and white) gospel, Part 7: On the fringes: Boogie woogie and jump blues, Part 8: On the fringes: Bluegrass and Folk, Part 9: Mainstream Popular Music 1, Part 10: Mainstream Popular Music 2
W.C. Handy, Charley Patton: Part 1, Charley Patton: Part 2, Charley Patton: Part 3, Charley Patton: Part 4
Robert Johnson: Part 1, Robert Johnson: Part 2, Robert Johnson: Part 3, Robert Johnson: Part 4, Robert Johnson: Part 5, Lead Belly: Part 1, Lead Belly: Part 2, Son House: Part 1, Son House: Part 2
Jelly Roll Morton, Louis Armstrong, Professor Longhair, Fats Domino, Lloyd Price
Chicago: Part 1, Chicago: Part 2, Chicago: Part 3, Chicago: Part 4, Chicago: Part 5
Memphis: Part 1, Memphis: Part 2, Memphis: Part 3, Memphis: Part 4, The People We Met, Thank you and Final Farewell
Course: Salesforce Introduction and Setup
Modules:
Course Introduction, Exam Details, Cloud Basics, Introduction to CRM, Salesforce Introduction, Salesforce Offerings, Creating a Salesforce Account, Demo: Creating a Salesforce Account & App Setup, Org Introduction, Salesforce Classic vs. Lightning, Lightning Features, Creating a Developer Account & Accessing the Lightning Console, Demo: Knowing Your Lightning Console, Lightning Experience Transition Assistant, Demo: Moving from Classic to Lightning
Standard and Custom Objects, Creating Custom Objects, Tabs, Create Tabs, Fields, Create Fields, Demo: Creating Custom Objects and Fields, Demo: Customizing Objects and Fields, API Name, Global Picklist, Using Global Picklist in Objects, Field Dependencies, Data Types, Define Formula Expression, Functions, Create Formula Fields, Roll-Up Summaries, Create a Roll-Up Summary Field, Object Relationships, Create a Master-Detail Relationship, Demo: Creating Validation Rules and Field Relationships, Schema Builder
Course: Google Docs en Español
Modules:
Introducción al curso, Temario
Introducción a Documentos de Google
Redacte un documento de Google, Explicación de las actividades 1 y 2
Mejore sus documentos de Google, Cómo agregar vínculos y favoritos, Imágenes, tablas y dibujos, Explicación de la actividad 3, Cómo insertar un gráfico vinculado
Comparta sus documentos de Google, Explicación de la actividad 4, Publique y descargue un documento de Google, Explicación de la actividad 5
Colabore en Documentos de Google, Explicación de la actividad 6, Integración con Gmail y Chat
Herramientas de Documentos de Google, Cómo usar la función Explorar de Google, Otras funciones de Documentos de Google
Descripción general del desafío empresarial, Explicación del desafío empresarial, Conclusión
Course: Beauty, Form & Function: An Exploration of Symmetry
Modules:
On Demand Briefing: Concepts in Symmetry, Lecture I-1: A World of Symmetry, Lecture I-2: Symmetry of Common Objects, Dr. Nigel Taylor, Director Singapore Botanic Gardens. Designing gardens & observing botanical symmetry., Mr. Victor Lim,Tile Restorer & Conservator. See his special process for restoring them to their former glory., Professor Peer M Sathikh, School of Art, Design & Media. See links between performance art & Islamic design., Dr Gul Inanc, School of Art, Design & Media. An historical perspective of the origins of Islamic designs.
Lecture I-3: Symmetry in Botany, Lecture I-4: Point Symmetry, Tutorial I-1: A Guide to Field Exercise 1 & Learning Log, Book Review Part I, Book Review Part II, Software Review
Lecture I-5: Tiling and The Asymmetric Unit, Lecture I-6: The Asymmetric Unit in Action, Lecture I-7: Chirality
Lecture I-8: Formalisation of Point Symmetry, Tutorial I-2: Focus Group on Field Exercise 1, Tutorial I-3: A Guide to Field Exercise 2
Briefing: Plane and Space Symmetry, Lecture II-1: Escher and Graphic Design, Lecture II-2: Escher and the 2D Bravais Lattices
Lecture II-3: General and Special Positions, Lecture II-4: Using the Plane Group Tables, Tutorial II-1: Focus Group on Field Exercise 2
Lecture II-5: Islamic Tilings and Nets, Lecture II-6: The Platonic Solids, Lecture II-7: Space Symmetry Operators
Lecture II-8: The 3D Bravais Lattices, Lecture II-9: Atom Location and the Space Group Tables, Tutorial II-2: Focus Group on Field Exercise 2, On Demand Conclusion
Course: Operational Research for Humanitarians
Modules:
MOOC trailer, Welcome to this MOOC, Conducting Research - Part 1 (Trailer), Presentation of the module, Conducting Research - Part 2, Decisions, decisions, decisions, Bias and evidence, The value of research: Perspectives, Showcase: How you use research, Weekly summary
Presentation of the module, The research process, From needs to research: Experience of a humanitarian researcher, Formulating a research question, Study designs: Part 1, Study designs: Part 2, Application of research methods, How to recognise high-quality evidence, Spotting and recognizing biases, Weekly summary
Presentation of the module, The reality of implementing research, Challenges and opportunities - the big picture, Robustness vs. feasibility, Which method?, Existing evidence, Case study #3, Mixed-methods: Robustness vs. feasibility, Visual research methods, Adapting tools and methods, The research mindset, Weekly summary
Presentation of the module, Overview of ethical principles of research, The main ethical risks, Informed consent, Introducing ethics review, Why should we engage communities?, How to engage communities, Weekly summary
Presentation of the module, Testimony of a practitioner, Challenges of translating evidence into practice, What is accountability?, To whom are humanitarian organisations accountable?, Accountability to the donor, Evidence use and knowledge transfer, Power dynamics, How to translate research findings into policy and practice? Examples of good practices, Good practice: How to communicate research findings, MOOC summary
Course: Structure: Building the Frame for Business Growth
Modules:
Introduction to Company Structure, Overview of Key Financial Statements, The Income Statement: Terminology & Structure, The Balance Sheet: Terminology & Structure, The Cash Flow Statement: Terminology & Structure, Financial Projections - Predicting the Unknown
What is a "legal entity?", C-Corps vs. LLCs: What's the Difference?
Introduction: What is Intellectual Property?, Patents: Form & Function, Copyrights: Form & Function, Trademarks: Form & Function
Intro: Build Your Team, Why Your Team Matters, How to Build a Great Team
Course: Finance for Everyone: Decisions
Modules:
Introduction to the Specialization, Introduction to Finance for Everyone: Decisions, What is Finance?, 3 Important Aspects of Financial Decisions
Decisions in Market Systems, Market Types, Time Value of Money I, The Dutch Auction, Dutch Auction - give it a try!, The 3-Step Procedure to Improve Problem-Solving, Financial Calculator Tutorial
Repercussions of the Free Market, Income Inequality, Social and Environmental Consequences, Overextended Debt, Introduction to Annuities & Perpetuities, Future Value of an Annuity, Present Value of an Annuity, Perpetuities
Time Value of Money I Quiz Solutions, Time Value of Money II Quiz Solutions, Solutions to Final Quiz, Course 1 Epilogue
Course: Understanding Political Concepts
Modules:
What is the problem which “Hyperpolitics” promises to solve, Scientists in our world, What is a "concept", Conceptualization, The structure of an empirical theory, What is the definition of a "concept", Two very different approaches towards “defining”
Tools for conceptual thinking, More comprehensive versions and uses of “property spaces”, From property spaces to typologies, Sum up, A common vocabulary, Conceptual Matrix, The quadrants, The peripheral concepts, Summary of Matrix Building
The concept of "Party", Building a Matrix, The four quadrants, How to work with this Matrix, The lower quadrants, The sequence of concepts
Bureaucracy, The most critical quadrants, The upper left and the lower right quadrant, The Constitution, The lower quadrants, The upper quadrants, Corporations, The upper quadrants, The lower quadrants
Course: European Citizenship – Development, Scope, and Challenges
Modules:
1.1 A Brief Introduction to European Citizenship, 1.2 Development and Status, 1.3 Union Citizenship and the European Court of Justice - a Tender Relationship, 1.4 Free Movement and Cross-border Welfare, 1.5 Political Rights and European Citizens' Initiative
2.1 Equality in EU Citizenship? - Pensioners and Healthcare, 2.2 The High Politics of Family Benefits Across Borders, 2.3 The Youth Guarantee, 2.4 Multilingualism- United in Diversity, 2.5 Rights to Protection Beyond the EU Territory
3.1 A Political Theoretical Criticism, 3.2 Response to the Political Theoretical Criticism, 3.3 The Politics of Welfare Chauvinism, 3.4 Brexit and the De-Europeanisation of Citizenship
Course: Experimentation for Improvement
Modules:
Promotional video for this course, 1A: Why experiments are so important, 1B: Some basic terminology, 1C: Analysis of your first experiment, 1D: How NOT to run an experiment
2A: Analysis of experiments in two factors by hand, 2B: Numeric predictions from two-factor experiments, 2C: Two-factor experiments with interactions, 2D: In-depth case study: analyzing a system with 3 factors by hand, Enrichment: Made for you by Madeleine: an interview with Joy
3A: Setting up the least squares model for a 2 factor experiment, 3B: Solving the mathematical model for a 2 factor experiment using software, 3C: Using computer software for a 3 factor experiment, 3D: Case study: a 4-factor system using computer software, Enrichment: Dr. Soo Chan Carusone talks about experiments in a medical context
4A: The trade-offs when doing half-fraction factorials, 4B: The technical details behind half-fractions - math warning!, 4C: A case study with aliasing in a fractional factorial, 4D: All about disturbances, why we randomize, and what covariates are, 4E: All about blocking, 4F: Introducing aliasing notation, 4G: Using aliasing notation to plan experiments, 4H: An example of an analyzing an experiment with aliasing, Enrichment: My colleague, David, and his student Jeff, talk about water treatment experiments
5A: Response surface methods (RSM): an introduction, 5B: Response surface methods (RSM): one variable, 5C: Why changing one factor at a time (OFAT) will mislead you, 5D: The concept of contour plots and which objectives should we maximize, 5E: RSM in 2 factors: introducing the case study, 5F: RSM case study continues: constraints and mistakes, 5G: RSM case study continues: approaching the optimum, Enrichment: An interview with Dr. Joe Kim (McMaster University)
6: The big picture (wrapping it up, and other topics)
Course: 경영 및 전략기획의 본질
Modules:
강좌 소개, 경영의 정의
리더십의 본질, Peter Drucker의 저서 <피터 드러커 - 매니지먼트>
전략기획
전략기획(2부)
Course: Project Management Foundations, Initiation, and Planning
Modules:
Course Introduction, What Inspired Us to Create this Course?, How to Make the Most Out of this Course, Instructor Introductions, Expert Viewpoints: Importance of Project Management, Expert Viewpoints: Project Management - The Journey, Expert Viewpoints: Project Management - The Journey Example, How is this Course Different?
Traditional Project Management, Expert Viewpoints: Lifecycle Selection, Project Management Phases, Different Types of Organizations, The Project Management Office, Expert Viewpoints: The Project Management Office
The 12 Principles of Project Management, Expert Viewpoints: Principles of Project Management, Project Management in the Virtual Environment, Effective Meeting Management, Influencing for Results Part 1, Influencing for Results Part 2, Expert Viewpoints: Developing and Managing a Team, Leading Change, Managing Quality
The Project Initiation Phase, Key Project Management Modeling Tools, Part 1, Key Project Management Modeling Tools, Part 2, Expert Viewpoints: Project Initiation, Stakeholder Register, Decision Making, Expert Viewpoints: Stakeholder Identification and Management, Stakeholder Engagement Plan, Key Financial Metrics, Project Budgets
Expert Viewpoints: Role of a Business Analyst, Scope Planning, Schedule Planning, Demo: Budget Planning Part 1, Demo: Budget Planning Part 2, Project Support Planning, Demo: Planning Earned Value Management Part 1, Demo: Planning Earned Value Management Part 2, Expert Viewpoints: Project Support Planning, Expert Viewpoints: Project Support Planning Tips
Demo: Develop a  Project Charter, Demo: Develop a Stakeholder Register, Demo: Develop a Work Breakdown Structure, Demo: Develop a Network Diagram, Demo: Develop a High-Level Budget Part 1, Demo: Develop a High-Level Budget Part 2
Course: Gestão Estratégica de Recursos Humanos
Modules:
Objetivos e Papel da Gestão de Pessoas nas Organizações, Modelo de Gestão de Pessoas e seus Componentes, Governança, Organização, Diretrizes e Políticas de Recursos Humanos, Práticas e Agentes que Atuam no Modelo de Gestão de Recursos Humanos
Gestão de Recursos Humanos e Comportamento Organizacional, Como é Possível Gerir o Comportamento Organizacional?, Ação de Gestão de Recursos Humanos e seu Impacto nos Indivíduos, Importância dos Grupos no Comportamento Organizacional, Comprometimento e Engajamento na Gestão de Recursos Humanos
Formação de Diferentes tipos de Modelos de Gestão de Pessoas, Aula 2-1 | Formação e Evolução dos Modelos de Gestão de Pessoas - Parte 1, Aula 2-2 | Formação e Evolução dos Modelos de Gestão de Pessoas - Parte 2, Aula 3-1 | Composição dos Tipos de Modelos de Gestão de Pessoas: Governança e Organização, Aula 3-2 | Composição dos Tipos de Modelos de Gestão de Pessoas: O Papel dos Agentes, Aula 4-1 | Modelos de Gestão de Pessoas: Práticas de Gestão, Aula 4-2 | Utilizando os Tipos de Modelos de Gestão de Pessoas
Alinhamento Estratégico de Recursos Humanos: Do que se Trata, Alinhando Diferentes Estratégias de Negócios, Reconhecendo Categorias de Posicionamentos Estratégicos, Aula 4-1 | Analisando o Alinhamento Estratégico de Recursos Humanos, Aula 4-2 | Alinhamento Estratégico de RH: Componentes e Práticas
Course: Feature Engineering - 한국어
Modules:
과정 소개
소개, Feature Store의 이점, Feature Store 용어 및 개념, Feature Store 데이터 모델, Feature Store 만들기, 특성 서빙: 배치 및 온라인
소개, 특성 추출의 개요, 원시 데이터와 특성, 좋은 특성과 나쁜 특성 비교, 특성은 예측 시점에 알려져 있어야 함, 특성은 숫자여야 함, 특성은 충분한 예시를 제공해야 함, 인간의 통찰력 제공, 특성 표현
소개, 머신러닝과 통계 비교, 기본 특성 추출, Google Cloud 및 Qwiklabs 시작하기, 실습 소개: BigQuery ML에서 기본 특성 추출 실행하기, 고급 특성 추출: 특성 교차, 함수 버킷화 및 변환하기, 주택 가격 예측, 택시 요금 추정, 임시 및 위치정보 특성, 실습 소개: Keras에서의 기본 특성 추출, 실습 소개: Keras에서 고급 특성 추출
소개, Apache Beam 및 Dataflow, Dataflow 용어 및 개념
소개, 특성 교차의 개념, 이산화, 실습 소개: TensorFlow Playground: 특성 교차를 사용하여 좋은 분류기 만들기, 실습 소개: TensorFlow Playground: 과유불급
소개, TensorFlow Transform, 분석 단계, 변환 단계, 서빙 지원
요약, 리소스: 모든 퀴즈 문항, 리소스: 모든 읽기 자료, 리소스: 모든 슬라이드 (English only)
Course: Fragen Für Eine Datengesteuerte Entscheidungsfindung Stellen
Modules:
Einführung in Problemlösung und effektives Fragenstellen, Daten in Aktion, Nikki: Die Datenverarbeitung funktioniert, Häufige Problemtypen, Probleme in der realen Welt, Anmol: Von der Hypothese zum Ergebnis, SMART-Fragen, Evan: Daten öffnen Türen
Daten und Entscheidungen, Wie Daten Entscheidungen ermöglichen, Qualitative und quantitative Daten, Die große Enthüllung: Teilen Sie Ihre Erkenntnisse, Daten versus Metriken, Mathematisches Denken
Mit Tabellenkalkulationen arbeiten, Erste Schritte beim Arbeiten mit Tabellenkalkulationen, Schritt für Schritt in Tabellenkalkulationen, Formeln für den Erfolg, Tabellenkalkulationsfehler und deren Behebung, Grundlagenwissen zu Funktionen, Bevor Sie ein Problem lösen, müssen Sie es verstehen, Arbeitsumfang und strukturiertes Denken, Sachlich bleiben
Kommunikation mit Ihrem Team, Bedürfnisse und Erwartungen in Ihrem Team in Einklang bringen, Konzentrieren Sie sich auf das Wesentliche, Klare Kommunikation ist der Schlüssel, Tipps für effektive Kommunikation, Erwartungen und realistische Projektziele in Einklang bringen, Sarah: Wie Sie mit Stakeholdern kommunizieren, Der Daten-Kompromiss: Schnelligkeit versus Genauigkeit, Denken Sie über Ihren Prozess und Ihr Ergebnis nach, Best Practices für Meetings, Ximena: In ein neues Team kommen, Vom Konflikt zur Zusammenarbeit, Nathan: Vom U.S. Marine Corps zu einer Karriere im Bereich Data Analytics, Kurszusammenfassung, Herzlichen Glückwunsch!
Course: Advanced Computer Vision with TensorFlow
Modules:
Welcome to Course 3, Classification and Object Detection Intro, Segmentation Intro, Why Transfer Learning?, What is Transfer Learning?, Options in Transfer Learning, Transfer Learning with ResNet50, ResNet50 in code, Network architecture for Object Localization, Evaluating Object Localization
Object Detection and Sliding Windows, R-CNN, Fast R-CNN, Faster R-CNN, Getting the Model from TensorFlow Hub, Running the Model on an Image, Installation and overview of APIs, Visualization with APIs, Loading a RetinaNet Model, Loading Weights, Data Prep and Training Overview, Custom Training Loop Code
Image Segmentation Overview, Popular Image Segmentation Architectures, FCN Architecture Details, Upsampling Methods, Encoder in Code, Decoder in Code, Evaluation with IoU and Dice Score, U-Net Overview, U-Net Code: Encoder, U-Net Code: Decoder, Instance Segmentation
Why Interpretation Matters?, Class Activation Maps, Fashion MNIST Class Activation Map code walkthrough, Saliency, GradCAM, ZFNet
Course: Data Communication Networks
Modules:
Welcome to the Course, The Concept of Data Networking, Types, Impact and Future Innovations of Data Networking, Components of a Network: Nodes and Links, Data Transfer: Packets, Frames, and Segments, The Geometry of Networks: Analyzing Topologies, The Pros and Cons of Various Network Topologies, Scenario-Based Topology Selection, Introduction to Networking Protocols, Dissecting the TCP/IP Model, Protocol Suites and Their Purposes, The Necessity of Network Security, Basic Security Measures for Data Protection, Security Protocols and Their Significance
Introduction to Module 2, Firewall Technologies, Authentication Protocols, Virtual Private Networks, Definition and Concepts, Virtual LAN (VXLAN), Network Functions Virtualization (NFV), Cloud Service Models, Cloud Deployment Models, Network Considerations in Cloud Environments
Introduction to Module 3, Comparison of Dynamic and Static Routing Protocols., Evaluation of Common Routing Protocols (e.g., OSPF, EIGRP, BGP) Based on Scalability and Complexity, Selection Criteria for Choosing the Most Appropriate Routing Protocol, Importance of QoS in Network Design for Optimizing Bandwidth Usage, Configuration of QoS Parameters to Prioritize Specific Types of Network Traffic, Impact of QoS on Application Performance and End-User Experience, Introduction to Network Monitoring Tools (e.g., Wireshark, SNMP, NetFlow), Role of Network Management Systems (NMS) in proactively monitoring network health, Utilization of Log Files and Alerts for Identifying and Troubleshooting Network Issues
Introduction to Module 4, Exploring the Role of Networks in the IoT Ecosystem, Challenges and Solutions for Managing the Massive Influx of IoT Devices, Security Considerations in Network Design for IoT, Definition and Significance of Edge Computing in Network Architectures, Implications of Edge Computing on Reducing Latency and Enhancing Performance, Use Cases and Deployment Scenarios for Edge Computing in Networks, Integration of AI and ML Algorithms for Network Optimization, Automation of Network Management Tasks Using Intelligent Algorithms, Security Considerations in Network Design for IoT, Conclusion
Course: Investment Strategies and Portfolio Analysis
Modules:
Introduction and Welcome to class, Brief review of measuring returns, Measuring dollar-weighted vs. time-weighted returns, Computing excess returns over a benchmark, Compounding excess returns: Geometric mean excess return, Basic measures of risk, Measuring bad variation, Tracking error and residual risk, Summary
Introduction, Sharpe ratio - Introduction to general notion, Constructing the Sharpe ratio, Sortino ratio, Treynor’s measure, Jensen’s alpha, Appraisal ratio and information ratio, Comparing the risk-adjusted measures, Summary
Introduction, Style analysis, Style Analysis - Part II, Style analysis: How does it work?, Performance attribution, Performance attribution: Numerical illustration, Summary
Course: Liderazgo y gestión de empresas familiares
Modules:
Introducción al curso
Introducción/Bienvenida al módulo, Definiendo la empresa familiar, Modelos de empresa familiar, Valor distintivo, Contribución de las Empresas Familiares
Introducción/Bienvenida al módulo, ¿Cómo crean valor las empresas familiares?, Recursos y capacidades en la empresa de familia, Recursos y capacidades para la creación de valor
Introducción/Bienvenida al módulo, Beneficios del Gobierno de la empresa de familia y claves para evaluarlo, Los diferentes entes de gobierno tanto de la empresa como de la familia​, Responsabilidad de los accionistas de la empresa familiar, Rutas del liderazgo de la empresa familiar
Introducción/Bienvenida al módulo, ¿Por qué el tema de género es importante en las empresas de familia?, Legado familiar, Continuidad
Course: Speaking and Presenting: Conversation Starters
Modules:
Be Surprising, in a Convincing Way, E. M. Forster, Un-Numb the Numbers, Include a Little Mischief, Babble, Rip it Out, Sojourner Truth
Peek-a-Boo Pedagogy, Star at Work, Cautionary Note
Conversation, Mrs. Bertha Flowers, Warren Buffett, The Language of Common Life, Kayaking, Location. Location. Location
Conversation Styles, Conversation Starters, Mirror Mirror
Course: Data Warehousing Essentials for Analytics and AI Support
Modules:
Introduction to Data Warehouses
Logical Database Design, SQL
Mental Image of Multidimensional Cube, Summarizability
OLAP Operations on a Multidimensional Model, Data Warehouse & Architecture, Congratulations
Course: Adapt your leadership style
Modules:
Course welcome and introduction, Week 1 Outline, The importance of leadership, The messy practice of leadership, Leadership traits, Leader needs - follower motivation, Leadership styles, Leadership grid, Habit corner
Week 2 Outline, Contingency leadership models, Organisational power, Formal and informal leadership networks
Week 3 Outline, The rise of the team, The role of leaders, The role of followers, Leading with psychological safety, Teams and the future of work
Week 4 Outline, Charisma and transformational leaders, Qualities of an ideal charismatic leader, The dimensions of authentic leadership
Week 5 Outline, The 7 stages of leadership transformation: Part 1, The 7 stages of leadership transformation: Part 2, The adaptive leadership model: Part 1, The adaptive leadership model: Part 2
Week 6 Outline, Leaders behaving badly, Leadership profiles, Jeffrey Pfeffer's 'Leadership BS', The complexities of leadership
Course: The Economics of Agro-Food Value Chains
Modules:
Introduction, Challenges and Trends, Food Quality, The Food Value Chain
Part 1: Quality and Consumer Value, Part 2: Quality and Consumer Value, Part 3: Quality and Consumer Value, Part 1: Strategies for Value Creation, Part 2: Strategies for Value Creation
Introduction to Market Research, Data Types and Data Collection, Data Analysis
Part 1: Asymmetric Information and Market Failures, Part 2: Asymmetric Information and Market Failures, Part 3: Asymmetric Information and Market Failures, Part 4: Asymmetric Information and Market Failures, Product Attributes and their Classification
Part 1: Solving Market Failures, Part 2: Solving Market Failures, Part 1: Trust and Signaling, Part 2: Trust and Signalling
Basic pricing strategies, Psychological Pricing, Retailer pricing behaviour
Consumer's purchasing process, Consumer characteristics, Segmentation, positioning, and brand personality
Part 1: Geographical Indications (GI): concept, relevance and protection, Part 2: Geographical Indications (GI): concept, relevance and protection, GIs and market efficiency
Definitions and Types of Innovation, Models and Diffusion of Innovation, Drivers and Barriers of Innovation
Agriculture 4.0, Agriculture 4.0: Case Studies, Definition of Corporate Social Responsibilities and the “Corporate Social Performance Model”, CSR Study - Coca-Cola
Part 1: Introduction to Coordination, Part 2: Introduction to Coordination, Part 3: Introduction to Coordination, Part 1: Contracts and the Incentive Problem, Part 2: Contracts and the Incentive Problem, Part 3: Contracts and the Incentive Problem, Part 1: An Example, Part 2: An Example
Part 1: Modern Retail, Part 2: Modern Retail, Part 3: Modern Retail, Part 1: Coordination in Modern Retail, Part 2: Coordination in Modern Retail, Part 3: Coordination in Modern Retail
Vertical Coordination and Transaction Costs, Quality and Vertical Coordination, What are Standards?, Meta-standards and Meta-systems, Examples of Food Quality Standards
FINAL EXAM
Course: Data Structures and Algorithms (I)
Modules:
写在选课之前, 考核方式, 课程教材与讲义, 关于讨论区, 微信平台
01-A-1：计算, 01-A-2：绳索计算机, 01-A-3：尺规计算机, 01-A-4：算法, 01-A-5：有穷性, 01-A-6：好算法, 01-B-1：性能测度, 01-B-2：问题规模, 01-B-3：最坏情况, 01-B-4：理想模型, 01-B-5：图灵机, 01-B-6：图灵机实例, 01-B-7：RAM模型, 01-B-8：RAM实例, 01-C-1：主流长远, 01-C-2：大O记号, 01-C-3：高效解, 01-C-4：有效解, 01-C-5：难解, 01-C-6：2-Subset, 01-C-7：增长速度
01-D-1：算法分析, 01-D-2：级数, 01-D-3：循环, 01-D-4：实例：非极端元素+起泡排序, 01-D-5：正确性的证明, 01-D-6：封底估算-1, 01-D-7：封底估算-2, 01-E-1：迭代与递归, 01-E-2：减而治之, 01-E-3：递归跟踪, 01-E-4：递推方程, 01-E-5：数组倒置, 01-E-6：分而治之, 01-E-7：二分递归：数组求和, 01-E-8：二分递归：Max2, 01-E-9：Max2：二分递归, 01-XC-1：动态规划, 01-XC-2：Fib()：递推方程, 01-XC-3：Fib()：封底估算, 01-XC-4：Fib()：递归跟踪, 01-XC-5：Fib()：迭代, 01-XC-6：最长公共子序列, 01-XC-7：LCS：递归, 01-XC-8：LCS：理解, 01-XC-9：LCS：复杂度, 01-XC-A：LCS：动态规划
02-A-1：接口与实现, 02-A-2：向量ADT, 02-A-3：接口操作实例, 02-A-4：构造与析构, 02-A-5：复制, 02-B-1：可扩充向量, 02-B-2：动态空间管理, 02-B-3：递增式扩容, 02-B-4：加倍式扩容, 02-B-5：分摊复杂度, 02-C-1：概述, 02-C-2：循秩访问, 02-C-3：插入, 02-C-4：区间删除, 02-C-5：单元素删除, 02-C-6：查找, 02-C-7：唯一化, 02-C-8：遍历, 02-D1-1：有序性, 02-D1-2：唯一化（低效版）, 02-D1-3：复杂度（低效版）, 02-D1-4：唯一化（高效版）, 02-D1-5：实例与分析（高效版）, 02-D2-1：概述, 02-D2-2：接口, 02-D2-3：语义, 02-D2-4：原理, 02-D2-5：实现, 02-D2-6：实例, 02-D2-7：查找长度
02-D3-1：构思, 02-D3-2：实现, 02-D3-3：实例, 02-D3-4：最优性, 02-D4-1：构思, 02-D4-2：版本B, 02-D4-3：语义, 02-D4-4：版本C, 02-D4-5：正确性, 02-D5-1：原理, 02-D5-2：实例, 02-D5-3：性能分析, 02-D5-4：字宽折半, 02-D5-5：综合对比, 02-E-1：构思, 02-E-2：改进, 02-E-3：反例, 02-E-4：再改进, 02-E-5：综合评价, 02-F-1：归并排序：构思, 02-F-2：归并排序：主算法, 02-F-3：二路归并：实例, 02-F-4：二路归并：实现, 02-F-5：二路归并：正确性, 02-F-6：归并排序：性能分析
03-A-1：从静态到动态, 03-A-2：从向量到列表, 03-A-3：从秩到位置, 03-A-4：实现, 03-B-1：循秩访问, 03-B-2：查找, 03-B-3：插入与复制, 03-B-4：删除和析构, 03-B-5：唯一化, 03-C-1：唯一化·构思, 03-C-2：唯一化·实现, 03-C-3：查找, 03-D-1：构思, 03-D-2：实例, 03-D-3：实现, 03-D-4：推敲, 03-D-5：selectMax(), 03-D-6：性能, 03-E-1：经验, 03-E-2：构思, 03-E-3：对比, 03-E-4：实例, 03-E-5：实现, 03-E-6：性能分析, 03-E-7：平均性能, 03-E-8：逆序对, 03-XD：习题辅导：LightHouse
范围查询 (Range), 祖玛 (Zuma), 灯塔 (LightHouse)
Course: Equine Welfare and Management
Modules:
Course Introduction, The Five Freedoms, Introduction to the Normal Horse, Recognizing a Normal, Healthy Horse, Assessing Key Vital Signs, Evaluating Weight and Body Conditions, Recognizing Variations Among Breeds, Basic Equine Anatomy and Terminology, Natural and Acquired Locomotion and Gaits, Hoof Physiology, The Musculoskeletal System, The Vision and Nervous System
Introduction to Hydration and Nutrition, The Importance of Hydration, The Digestive System, Benefits and Detriments of Various Feed Types, Determining Nutritional Requirements
Introduction to Proper Care and Safe Environments, Applying Standards of Care, Assessing Stall, Pen, and Pasture Quality, Applying Standards of Care, Ensuring Safety, Emergency Preparedness, Evacuation and Rescue, Footing Surfaces: Where Horses Work, Train or Perform, Exercising Your Horse
Fitness and Health, Assess Cardiovascular and Musculoskeletal Fitness, Maintaining Health and Preventing Common Ailments, Deworming: Centerpiece of a Preventative Health Program, Preparing a Vaccination Plan for Disease Prevention, Hoof and Dental Care, Preventing Diseases with Biosecurity, Recognizing Signs of Pain and Discomfort, Common Ailments and Injuries
Introduction to Normal and Abnormal Behaviors, The Horse as Prey and Herd Animal, Normal Equine Behavior, Normal Behavior of Stabled Horses, Normal Equine Social Behavior, Recognize Problem Behaviors, Strategies to Address Problem Behaviors
The Human - Equine Interaction and Equine Welfare Introduction, The Human - Equine Partnership, Recognizing Stress and Fear, Equine Athletes, Preventing Stress and Fear in Equine Athletes, Challenges in the Horse Racing Industry, Caring For An Older Horse, The Unwanted Horse, International Welfare Concerns
Course: Sustainability Transformation with AWS
Modules:
Sustainability Transformation with AWS
Course: Desarrollo de software Agile
Modules:
Bienvenida e introducción al curso, ¿Cómo es el desarrollo de software?, Introducción a los modelos de desarrollo de software, ¿Por qué Agile?, Manifiesto Agile: Principios, Beneficios y desafíos de Agile, Agile: Cuándo usarlo y cuándo NO hacerlo, Aplicación de una mentalidad Agile a un proyecto, Marcos de trabajo Agile
Requisitos de recopilación: La forma Agile, Historias de usuarios: La moneda de desarrollo Agile, Características de buenas historias de usuarios, Generación de historias de usuarios, Estimación y planificación Agile, Estilos y proceso de estimación, Velocidad, Planificación de lanzamientos, Seguimiento de lanzamientos
Descripción general de Scrum, Planificación del sprint, Seguimiento del sprint, Ejecución del sprint y reuniones diarias, Revisión de sprint, Retrospectiva del sprint
Descripción general de la XP, Valores de la XP, Prácticas de XP - 1ª parte, Prácticas de XP - 2ª parte, Modelo de proceso de XP
Course: Data Storage in Microsoft Azure for Associate Developers
Modules:
Introduction to the course, Lesson introduction, Classify your data, Determine operational needs, Group multiple operations in a transaction, Choose a storage solution on Azure, Lesson summary, Lesson introduction, Decide how many storage accounts you need, Choose your account settings, Choose an account creation tool, Lesson summary
Module introduction, Azure storage services, Interact with the Azure Storage APIs, Connect to your Azure storage account, Module summary
Module introduction, Explore Azure Storage security features, Storage account keys, Shared access signatures, Control network access to a storage account, Advanced threat protection for Azure Storage, Azure Data Lake Storage security features, Module summary
Introduction to Blob storage, What are blobs?, Design a storage organization strategy, Module Summary
Course summary, Course 2 recap, Course wrap up
Course: Gemini in Google Drive - Español
Modules:
Introducción a Gemini en Google Drive, Pregúntale a Gemini sobre un archivo, Define mejor las instrucciones con Gemini en Drive, Sintetiza información de múltiples fuentes con Gemini en Drive
Course: Behavioral Finance
Modules:
Welcome to Behavioral Finance, Introduction to Classical Economics, Utility of Money, Omission Bias Case Study, Expected Utility vs Prospect Theory
Correlation and Causation Error, Probability Weighting, Relative Probabilities, The Availability Heuristic, Mental Accounting and Expenditures, Loss Aversion, Belief Perseverance and Confirmation Bias, Case Study: Belief Perseverance
Introduction to Financial Decision Making, Benefits of Saving Early
Course: Overview of Automotive SPICE
Modules:
The software development lifecycle (SDLC), Introduction to V Model, Automotive Spice versus Other Software Process Standards  - ISO, Automotive Spice versus Other Software Process Standards - CMMI, What is ASPICE, Process Attributes, Base Practices, Work Products, Process Assessment Model (PAM) Part 1, Process Assessment Model (PAM) Part 2, VDA Extended Scope
Acquisition Process Group and Supply Process Group, System and Software Process Areas - SYS, SWE, Supporting Process Group - SUP, Management Process Group (MAN) and Reuse Process Group (REU), Automotive Spice - Level 1 Performed Process, Automotive Spice - Level 2 Managed Process, Automotive Spice - Level 3 Established Process, Automotive Spice - Level 4 Predictable Process, Automotive Spice Level 5 Innovating Process
Assessment and Audit, Continual Improvement, How assessment levels are provided, Process improvement plan, Introduction to Tools Part 1, Introduction to Tools Part 2
How to Prepare for Assessment, Focus on WPs and Process, Benefits of ASPICE Assessment, Success Story