dipopotamus/custom_instruct_coursera_course_module_list huggingface dataset:
Course: Gut Check: Exploring Your Microbiome
Modules:
Introduction, Welcome to the Course, What are Microbes?, Interview: Jack Gilbert, Interview: Valerie McKenzie, The Human Microbiome, Where Do You Get Your Microbes?, Web interview: Maria Gloria Dominguez-Bello, Web interview: Elizabeth Costello, Rob's Module 1 wrap-up
How we study the microbiome: Introduction, The history of studying microbes with Norm Pace, Basics of high-throughput DNA sequencing, Demo: Tour of the Knight Lab, 'Omics' and other useful technologies, Interview: Luke Thompson, Web interview: Janet Jansson, Web interview: Pieter Dorrestein, Rob's Module 2 wrap-up
How do we identify a microbe?, Web interview: Philip Hugenholtz, Basics of alpha-diversity with fuzzy microbe demo, Beta-diversity, and visualizing differences, Demo: EMPeror, a QIIME visualization tool, Web interview: Gregory Caporaso, Rob's Week 3 wrap-up
Impact of diet and age on the gut microbiota, Obesity and the gut microbiota, Human microbiome and gut disease, Interview: On location in Tanzania with Martin Blaser, Interview: On location in Tanzania with Jeff Leach, Interview: On location in Tanzania with Maria Gloria Dominguez-Bello, Manipulating the microbiome through fecal transplants, Rob's Module 4 wrap-up
Gut microbiota interactions with the immune system, Gut microbiota, autoimmune diseases, and allergies, Web interview: Sarkis Mazmanian, Interview: Cathy Lozupone, The gut-brain axis, Post-mortem human microbiome, Zech on machine learning, Web interview: Sibyl Bucheli, Web interview: David Carter, Web interview: Charlotte Carter, Rob's Module 5 wrap-up
The American Gut Project and crowd-funding, Interview: Tom Cech, Collecting samples, Interview: Daniel McDonald, Michael Pollan vs. Jeff Leach: American Gut results explained, Web interview: Michael Pollan, Comparing the American Gut to other populations, Rob's Module 6 wrap-up and thank you's
Course: Professionalism in Allied Health
Modules:
Introduction and Objectives, Realities of the Workplace, Review
Introduction and Objectives, Emotional Intelligence, Handling Emotions, Building Emotional Strength, Review
Introduction and Objectives, Building Relationships, Managing Conflict, Review
Introduction and Objectives, Personal and Interpersonal Skills, Review
Introduction and Objectives, Modeling Professional Behavior, Review
Course: البرمجة المتقدمة بلغة Swift
Modules:
مقدمة إلى الدورة التدريبية, (Swift)ملخص:  أساسيات البرمجة في, إعداد مشروع (iOS) باستخدام (Swift), مقدمة للتعدادات, ما هي المجموعات؟, ملخص الوحدة: أنواع البيانات المتقدمة
ما هي الفئات الفرعية؟, مقدمة عن تحويل الأنواع, العمل مع تعدد الأشكال, ما هو البروتوكول في (Swift)؟, إنشاء البروتوكولات الخاصة بك وتنفيذها, تنفيذ أساليب البروتوكول المطلوبة والاختيارية, ما هو التفويض؟, التفويض في العمل, ملخص الوحدة: تنظيم الأكواد
الأخطاء والدوال القابلة للعرض, معالجة الأخطاء واكتشاف الأخطاء, مقدمة إلى التكرار, ما هي البرمجة الوظيفية؟, التعيين والتصفية والتقليل, ما المقصود بالاختبار؟, أنواع الاختبارات, اختبار الوحدة في Swift, ملخص الوحدة: معالجة الأخطاء والبرمجة الوظيفية والاختبار
ملخص الدورة التدريبية للبرمجة المتقدمة في Swift, تهانينا، لقد أكملت دورة البرمجة المتقدمة في Swift!
Course: Keamanan IT: Pertahanan terhadap Kejahatan Digital
Modules:
Pengantar Kursus, CIA Triad, Istilah Keamanan Penting, Software Berbahaya, Malware Lanjutan, Serangan Jaringan, Denial-of-Service, Serangan Sisi Klien, Serangan Sandi, Serangan Penipuan
Kriptografi, Kriptografi Simetris, Algoritma Enkripsi Simetris, Rob: Pekerjaan seorang security engineer, Kriptografi Asimetris, Kriptografi Simetris, Bagian Dua, Algoritma Enkripsi Asimetris, Hashing, Algoritma Hashing, Algoritma Hashing (lanjutan), Infrastruktur Kunci Publik, Sertifikat, Kriptografi dalam Aksi, Mengamankan Traffic Jaringan, Hardware Kriptografi, Penolakan
Praktik terbaik untuk autentikasi, Autentikasi Multifaktor, Opsi Autentikasi Multifaktor, Sertifikat, Bagian Kedua, RADIUS, Kerberos, TACACS+, Single Sign-On, Rob: Jalan saya menuju IT, Metode Otorisasi dan Kontrol Akses, Kontrol Akses, Daftar Kontrol Akses, Melacak Penggunaan dan Akses, Rob: Keterampilan penting dalam keamanan
Praktik Terbaik Hardening Jaringan, Hardening Hardware Jaringan, Hardening Software Jaringan, Joe: Hambatan pribadi saya, Enkripsi WEP dan Mengapa Anda Tidak Boleh Menggunakannya, Saatnya beralih dari WEP!, WPA2, Hardening Jaringan Nirkabel, Heather: Dampak manipulasi psikologis, Menyadap Jaringan, Wireshark dan tcpdump, Intrusion Detection System dan Intrusion Prevention System
Pengantar Defense in Depth, Menonaktifkan Komponen yang Tidak Diperlukan, Firewall Berbasis Host, Proses Logging dan Audit, Proteksi Antimalware, Enkripsi Disk, Heather: Pembelajaran mandiri adalah kunci kesuksesan, Pengelolaan Patch Software, Kebijakan Aplikasi
Tujuan Keamanan, Mengukur dan Menilai Risiko, Kebijakan Privasi, Kebiasaan Pengguna, Keamanan Pihak Ketiga, Pelatihan Keamanan, Alex: Kualitas seorang kandidat IT, Pelaporan dan Analisis Insiden, Respons Insiden dan Pemulihan, Keamanan dan Privasi Seluler, Amir: Tips untuk wawancara, Ari: Tips untuk wawancara, Bermain Peran Wawancara: Keamanan, Ujian Akhir, Buat diri Anda berusaha lebih keras, Selamat!
Menyesuaikan resume untuk peran dukungan IT, Menemukan jalur dan peran yang tepat, Personal Branding, Perekrut, Headhunter, dan Agen Penyedia Tenaga Kerja, Menulis surat pengantar, Mulai Menggunakan LinkedIn, Cara mendapatkan wawancara, Mempelajari lebih lanjut cara menyusun presentasi singkat, Mengajukan pertanyaan kepada pewawancara, Bersiaplah mengikuti wawancara dengan Latihan Wawancara, Sebelum Anda menerima, negosiasikan kontraknya, Sindrom Penipu, Bekerja dari rumah untuk meraih kesuksesan, Kejenuhan, Membuat Rencana Pengembangan Karier, Mendapatkan Promosi, Karier Terkait Teknis, Keterampilan Sosial Emosional, Keberagaman, Inklusi, dan Bias, Keterampilan Komunikasi Tingkat Lanjut
Course: Introduction to High-Performance and Parallel Computing
Modules:
Course Overview, Tour of JupyterLab, Submitting Assignments, Linux - Part 1, Linux - Part 2, Accessing Remote Systems, Filesystems, Bash Scripting, Part 1, Bash Scripting - Part 2
HPC Architecture, Software, Allocations, Node Types, Job Submission with Slurm - Part 1, Job Submission with Slurm - Part 2
Simple Application Timing, Serial vs. Parallel Processing - Part 1, Serial vs. Parallel Processing - Part 2, Parallel Memory Models, Data vs. Task Parallelism, High Throughput Computing
How to Parallelize Code, Speedup and Parallel Efficiency, Scalability, Limits to Scaling
Course: Applying Machine Learning to Your Data with GC - Português
Modules:
Introdução ao curso
Introdução ao machine learning, Demonstração: Google Fotos, O que é aprendizado profundo?, Aplicações de ML nos negócios, Termos de ML: instâncias, atributos, rótulos, O espectro de ferramentas de ML
Modelos de ML pré-treinados, Demonstração: APIs Cloud Translate e Vision, Demonstração: API Natural Language Processing, Coursera: Guia inicial do Google Cloud Platform e do Qwiklabs
Quais são as características do conjunto de dados ideal para ML?, Como escolher os atributos certos, Como entender e pré-processar dados, Outras ferramentas para criar pipelines de dados, Como acessar dados desconhecidos, Como criar divisões repetíveis de conjuntos de dados
Introdução ao machine learning no BigQuery, Fases da criação de um modelo, Introdução ao laboratório: Como usar o BigQuery para prever compras de visitantes que retornaram ao site
Resumo do curso
Course: Introduction to Secure Networking
Modules:
Course introduction: Introduction to Secure Networking, Types of networks, Topologies, What is IP, and what’s an IP address?, Using IP addresses on a network, Module summary: Computer networking
Hybrid networking, Introduction to cloud computing, What is the OSI model?, TCP/IP, What is a port?, Ports and protocols, DNS and networking, Health and metric analysis, Module summary: Network devices and protocols
Client-server network, Remote access, Introduction to authentication, Types of authorization, Authentication versus authorization, Common network attacks, Network security, Firewalls, Security tools, Module summary: Network security
What is Azure?, Business enterprise use case, What is virtualization?, Azure Virtual Desktop, Virtual world, Cloud capabilities, Machine learning services, AI business uses, Business benefits of XaaS, What is Software as a Service?, Module Summary: Cloud computing and networking
Course recap:  Introduction to Secure Networking, Congratulations
Course: Fundamentals of GIS
Modules:
Course Overview, Course Mechanics, Module 1 Overview, Why GIS is Awesome, What is GIS?, A First Look at Using Desktop GIS, GIS Terminology to Know, Tour of ArcGIS Pro, Data Representation in GIS, Desktop GIS Software Packages, Getting Help with GIS, Relevant Skills for the GIS Analyst, How Assignments Work in this Course, Module 1 Summary
Module 2 Overview, Following Along, Using ArcGIS Pro to Explore Data, Viewing and Changing Layer Properties, Using Feature Classes and Attribute Tables, Selections, An Introduction to Projections, Geoprocessing, Environment Settings, and Spatial Joins, Assignment 2 Overview, Module 2 Summary
Module 3 Overview, Finding Common Datasets, Using Layout View to Make Maps, Using Map Elements, Symbology: Changing How Your Data Looks, Symbology Examples, Setting Up Symbology in ArcGIS Pro, Labeling Map Features, Making Map Books, Assignment 3 Overview, Module 3 Summary
Module 4 Overview, Using Metadata to Document Data Products, Creating and Uploading Packages with ArcGIS Pro, Importing Map Packages, Choosing a Data Format, Joins and Relates, Troubleshooting ArcGIS Pro, Module 4 Summary, Assignment 4 (Peer Review) Overview, Course Summary
Course: Quantum Optics 2 - Two photons and more
Modules:
1.0 Introduction, 1.1 Quantum Optics formalism in a nutshell, 1.2 Quasi-classical state: Definition and elementary properties, 1.3 Average field. Dispersion, 1.4 Photon number, 1.5 Photoelectric signals: fully classical, 1.6 Transformation on a beam splitter, 1.7 Single mode laser: an emblematic example, 1.8 Freely propagating beam: shot noise, 1.9 The standard shot noise formula: photocurrent fluctuations, 1.10 Conclusion: more than a classical macroscopic limit of quantum radiation
2.0 Introduction, 2.1 Multimode quantum optics in a nutshell, 2.2 Multimode quasi-classical states: Poisson distribution of photons, 2.3 Quasi-classical wave packet; case of less than one photon, 2.4 Quasi-classical wave packet on a beam splitter, 2.5 Beat note between two laser beams; heterodyne detection, 2.6 Incoherent multimode radiation; classical vs quantum average, 2.7 Beyond classical light
3.0 Introduction, 3.1 Balanced homodyne detection, 3.2 Quadrature components, 3.3 Complex plane representation: quadratures, field, 3.4 Squeezed state: definition, properties, 3.5 Measurements below the SQL, 3.6 Squeezing is fragile, 3.7 Beating the SQL in a Mach-Zehnder interferometer, 3.8 Beating the SQL in Gravitational Waves detection, 3.9 A genuine quantum technology
4.0 Introduction, 4.1 Polarized one photon wave packet: an almost ideal two-level system, 4.2 Pairs of photons entangled in polarization, 4.3 How to understand the EPR correlations?, 4.4 Bell’s inequalities: the possibility to settle the debate experimentally, 4.5 Experiments: local realism untenable, 4.6 Conclusion. Entanglement  at the root of quantum technologies of the second quantum revolution
5.0 Introduction, 5.1 Quantum Key Distribution for cryptography:  Ekert protocol, 5.2 QKD in the real world: need for quantum repeaters, 5.3 Bell states, Bell measurement: a basic tool in quantum information, 5.4 Quantum teleportation, 5.5 Quantum simulation, 5.6 Programmable quantum computing, 5.7 Conclusion: quantum optics at the heart of the second quantum revolution
Course: Gemini in Google Meet - Español
Modules:
Introducción a Gemini en Google Meet, Genera una imagen de fondo usando Gemini, Mejora tu experiencia de video y audio, Actividad explicada
Course: Project Delivery in Business Analysis and Capstone Project
Modules:
Course Introduction, Introduction to Project Management, Project governance, Roadmaps and Gantt charts, Introduction to Risk Management, Identifying risks, Risk analysis and monitoring, Managing risk, Module Summary: Introduction to Project Management
Software Development Life Cycle, SDLC models, Maintaining software, Agile methodology, Business Analyst process in Agile, Agile development practices, Agile frameworks, Managing changes, Scrum Framework, Business Analyst role in Scrum, User Stories throughout Scrum, Sprints and Kanban Boards, Module Summary: Software Development Life Cycle
Quality Management Systems, Elements of Quality Management Systems, Key Performance Indicators, Testing in project delivery, Mapping business requirements in the test process, Test planning, Test executing and reporting, User Acceptance Testing, Go-live and sign-off, Risk mitigation through UATs, Traceability matrix, Module Summary: Testing and validation
Course Recap: Project Delivery in Business Analysis and Capstone Project, Leveraging Bing Copilot for Business Analysis, Use Copilot to provide project Support, Using Bing Copilot for technical support, Creating document summaries with Bing Copilot, Congratulations
Course: Build a Data Warehouse Using BigQuery
Modules:
Introduction to the Instructor, Introduction to BigQuery, Setting up and accessing bigQuery, Navigating the BigQuery UI, Exploring "bigquery-public-data" datasets, Introduction to Data Warehousing and BigQuery, Creating Datasets for Data Organization, Defining Tables with Schema and Settings, Partitioning and Clustering Strategies, Creating Tables using SQL, Creating Partitioned Tables using SQL, Installing Anaconda Package and Configuring Credentials, Introduction to Jupyter Notebook UI, Manipulating Data with Pandas: Replacing and Appending Tables, Adding Schema Information Dynamically, Incorporating Partitioning and Clustering Configurations, Understanding ETL (Extract, Transform, Load), Performing ETL with CSV, Excel, and JSON files, Introduction to Data Query Language, Exploring SQL Examples for Data Retrieval, Leveraging Aggregate and Window Functions for Advanced Queries, User-Defined Functions (UDFs) for Custom Transformations, Data Security and Governance Best Practice, Conclusion
Course: Dairy Production and Management
Modules:
Orientation, Dairy Cattle Genetics, Genetic Evaluation, Genetic Selection, Trends in Genetics, Technology in Genetics
Forage Production Systems, Perennial Forage Crops, Annual Forage Crops, Pasture Management, Part 1, Pasture Management, Part 2
Dairy Feeds, Part 1, Dairy Feeds, Part 2, Dairy Feeds, Part 3, Hay and Silage, Part 1, Hay and Silage, Part 2, Processing of Feeds
Introduction to Dairy Nutrition, Part 1, Introduction to Dairy Nutrition, Part 2, Nutrient Requirements, Part 1, Nutrient Requirements, Part 2, Feeding of Lactating Dairy Cows, Part 1, Feeding of Lactating Dairy Cows, Part 2
Calf Nutrition and Management, Part 1, Calf Nutrition and Management, Part 2, Dairy Heifer Feeding and Management, Part 1, Dairy Heifer Feeding and Management, Part 2, Feeding and Managing Dry Cows, Part 1, Feeding and Managing Dry Cows, Part 2, Feeding and Managing Dry Cows, Part 3
Birth to Puberty, Female Anatomy, Male Anatomy, The Estrous Cycle, Detecting Estrus, Conception Rate and Pregnancy Detection
Biosecurity, Calving Sense, Calf Sense, Cow Sense, Treating Sick Cows, Preventative Practices, Bovine Mastitis, Part 1, Bovine Mastitis, Part 2, Bovine Mastitis, Part 3, Milk Quality, Part 1, Milk Quality, Part 2, Milk Quality, Part 3, Milk Quality, Part 4
Dairy Farm Management, Dairy Farm Economics, Dairy Markets, Milk Marketing, Environment, Part 1, Environment, Part 2, Environment, Part 3
Course: Effective Communication Capstone Project
Modules:
Welcome to the Capstone, A Message of Thanks from Quentin, Dave, and William, William Delivers the Effective Communication Pitch
Composing the Memo, Excavating Quentin's Scaffold in the Pitch Memo, Optional Review: Be The Windowpane, Optional Review: Waste No Time, Optional Review: The 10 Principles of Good Writing Revisited and Explained (The Business Writing Conclusion)
The In-Between Guy, Designing the Coursera Pitch Slides, Optional Review: Unexpected Places Yield Unexpected Results, Optional Review: Introducing the Grid
Crafting the Speech, Optional Review: The Paradox of Public Speaking, Optional Review: The Basic Formula, Optional Review: The Central Importance of the Introduction, Optional Review: Dynamic vs. Static (Getting into your Brand)
The Final Synthesis, It's a Wrap! A conversation about our approach, what we learned, and what Coursera means to us
Course: 클라우드 컴퓨팅 기초(Cloud 101)
Modules:
소개 및 클라우드 컴퓨팅, 확장 가능한 컴퓨팅 및 스토리지 서비스, 성능 및 안정성을 위한 분산 컴퓨팅, 관리형 인프라, Azure 서비스 및 API
IaaS, PaaS, SaaS, FaaS
프라이빗 배포 모델, 퍼블릭 배포, 하이브리드 클라우드, HPC 클라우드, 빅 데이터 클라우드
베어메탈 컴퓨팅, VM, Docker 및 Kubernetes, 온프레미스 컴퓨팅, 클라우드 컴퓨팅, 모범 사례 및 사용 사례
Azure, AWS, GCP, IBM 클라우드, SalesForce
서버리스 컴퓨팅, 분산 및 탈중앙형 애플리케이션, 기계 학습 및 AI, IoT(사물 인터넷)
Course: Data Analysis for Business
Modules:
Information, Database and Statistics, Types of Variable and Measurement Scales, Types and Sources of Data, Types of Data Analysis, Example in Excel of a Database Construction
Tables, Charts for Categorical Variables, Charts for Numerical Variables - Part 1, Charts for Numerical Variables - Part 2, Other Types of Chart and the Pitfalls of DCOVA, Excel Example, Recording of Data Analysis for Business Live Session on 22-03-17 20:07:20 [21:09]
Measures of Central Tendency, Measures of Variation and Shape, Skewness and Kurtosis, Quartiles and Percentiles, Boxplot, Population and Sample, Covariance and Correlation, Excel Example
Probability Basics for Inferential Statistics, Main probability distributions: uniform, binomial, Poisson, normal, and exponential, Sampling and Confidence Interval, Confidence Interval for the Mean, Hypothesis Testing Fundamentals, T and Z Test for the Mean, Recording of Data Analysis for Business Live Session on 22-03-31 20:01:35 [04:00]
Linear Models and Regressions, Measures of Variation and Coefficient of Determination, Regression Assumptions, Point and Interval Estimates, Multiple Regression Model, Evaluating Multiple Regression Models, Excel example, Qualitative Variables in Multiple Regressions
Course: Practical Steps for Building Fair AI Algorithms
Modules:
Examples of Predictive Algorithms, How do you Build Predictive Algorithms?, How do you Assess Predictive Algorithms?, Upsides & Takeaways, Introduction and Statistical Parity, Predictive Equality and Calibration, Conflicts Between Definitions, Takeaways, Introduction, Case study: many possible causes of bias, Introduction, Concerns & Takeaways
Introduction, Principles of Ethical Data Collection & Takeaways, Removing sensitive features won't automatically make your algorithm fair, Including sensitive features may make your algorithm more fair, Intro and health risk prediction case study, Further examples and takeaways
Intended Uses of Models and Datasets, Documenting Intended Uses, Introduction to Transparency and Interpretability, Examples of Transparent Algorithms, Examples of Non-Transparent Algorithms & Takeaways
Introduction to Algorithms Guiding Human Decision Making, Are Criminal Justice Algorithms Inherently Unethical?, Additional Ethical Dilemmas & Takeaways, Algorithms don't just predict the future; they shape it, Compare Algorithms to the Human Baseline, Takeaways & Course Summary
Course: Out of core nuclear fuel management: back end
Modules:
Welcome, Spent nuclear fuel, Spent nuclear fuel. Part 2, Facilities backend
Spent fuel reprocessing
Final disposal of spent fuel, Facilities backend. Part 2, Related Industrial Activities
Course: Valuation for Startups Using Discounted Cash Flows Approach
Modules:
Welcome Video, 1.1 Future Value, 1.2 Present Value, 1.3 Present Value of Multiple Cash Flows, 1.4 NPV of Multiple Cash Flows, 1.5 Present Value of Annuity
2.1 Present Value of Perpetuity, 2.2  PMT, 2.3 Number of Periods, 2.4  Rate
3.1 Bond Valuation, 3.2 Yield to Maturity, 3.3  Enterprise Value
4.1 Stock Price, 4.2 Review
Course: The Limits of Human Perception
Modules:
Perceptual Capacities & Limitations
The Human Visual System, Acuity, Brightness, Color, and Glare, Eye Movements, Depth, and Motion
Object Perception, Visual Design Principles, Affordances and Design
The Human Auditory System, Perception of Complex Sounds and Sound Localization, The Sense of Touch
Why Use Modalities Other than Vision?, Auditory Warnings and Displays, Tactile Warnings and Displays
Course: Encoder-Decoder Architecture - 한국어
Modules:
인코더-디코더 아키텍처: 개요, 인코더-디코더 아키텍처: 실습 둘러보기
Course: Estrategias para desarrollar el talento en organizaciones
Modules:
Presentación del curso
Presentación de la semana, Tipología y finalidad, Elaboración, Finalidad y objetivos de la formación, Cómo realizar la detección de Necesidades
Presentación de la semana, Recursos docentes, Neuroaprendizaje, Atención y aprendizaje, Aspectos metodológicos, Dinamización, Antes de la acción formativa, Durante la acción formativa, Después de la acción formativa, Modelo de Kirkpatrick, Los Planes de Acción, Los Planes de Acción. Caso práctico, “Learning Analytics”
Presentación de la semana, Introducción, Detalle de indicadores en Recursos Humanos, Detalle de dos procesos clave, ¿Cómo evaluamos el talento?, La entrevista de evaluación, Medidas de evaluación, De la evaluación a la conversación de desarrollo
Presentación de la semana, Introducción, Tipos de outplacement y participantes del proceso, Beneficios del outplacement, El proceso de outplacement, Concepto y tipos, Conceptos erróneos sobre la salida voluntaria del talento, Cómo mejorar la retención, La salida involuntaria del talento, Herramientas clave para la salida del talento, La entrevista de salida, Despedida
Course: Confronting The Big Questions: Highlights of Modern Astronomy
Modules:
Introduction, Scientific Notation, Our Place in the Cosmos, Comparative Planetology, Terrestrial Planets, Giant Planets, Gas Vs Ice Giants, Construction Debris, Exoplanets, Understanding Ellipses, Radial Velocities and the Doppler Shift, Transiting Planets, The Habitable Zone, What Exoplanets Have Taught Us, Condensation Theory, Planet Formation, Basic Chemistry, DNA and RNA, Appearance of Life, Are We Alone?
Stars - Introduction, Nuclear Fusion, The Nature of Light, Quantum Physics, Measuring Stars, Forming a Protostar, Brown Dwarfs And Very Low Mass Stars, The Structure of a G2 Main Sequence Star, Solar Magnetic Features, Red Giants and Planetary Nebulae, White Dwarfs, Supernovas and Neutron Stars, Frames of Reference, Special Relativity, General Relativity, Escape Velocity, Black Holes, Journey into a Black Hole, Answering the Question
Galaxies Introduction, Interstellar Medium, Galactic Distances, Climbing the Cosmic Distance Ladder, Type Ia Supernovae, Metallicity, The Milky Way, The Galactic Disk, The Stellar Halo and the Bulgy Bar, The Galactic Center, Galactic Zoology, Introduction to Dark Matter, Types of Active Galactic Nuclei, Unified Model for AGN, Galaxy Groups and Clusters, Superclusters, Answering the Question
Introduction, Hubble’s Law and the Big Bang, Space-Time and Quantum Fields, The Standard Model of Particle Physics, Dark Matter, In the Beginning, Phase Transitions in the Early Universe, BBN and Recombination, Observational Evidence, The Beginning of Large Scale Structure, The Era of Quasars, Dark Energy and Cosmic Destiny, The Multiverse, Recap-History of the Cosmos, Answering the Question
Course: Introduction to Image Generation - בעברית
Modules:
מבוא ליצירת תמונות
Course: In the Trenches: Security Operations Center
Modules:
Course Overview, Author Introduction, Video 1.1 : Setting up Target Virtual Machines and Applications
Video 2.1 : Introduction to Security Operations Center, Video 2.2 : Security Operations Center
Video 3.1 : Hacker Tactics, Techniques, and Procedures, Video 3.2 : Hacker Tactics, Techniques, and Procedures – ATT&CK
Video 4.1 : Intrusion Detection Software, Video 4.2 : Intrusion Prevention Software, Video 4.3 : Data Loss Prevention
Video 5.1 : Indicators of Compromise, Video 5.2 : Find Evil with Security Onion – Part 1, Video 5.3 : Find Evil with Security Onion – Part 2
Video 6.1 : Vulnerability Management
Video 7.1 : Incident Response
Video 8.1 : Course Conclusion and Final Comments
Course: American Contract Law I
Modules:
Welcome to Contracts, Default Rules, Altering Rules and Mandatory Rules, Hammer v. Sidway, Ricketts v. Scothorn, Bolin Farms v. American Cotton Shippers, The Ex Ante and Ex Post Perspectives, Williams v. Walker-Thomas Furniture - "Installment Loan", Enforcement of Money Judgments, Property Rules and Liability, Jacob & Youngs v. Kent, Sullivan v. O'Connor - "Nose Job", The Coase Theorem
Kirksey v. Kirksey - "Moving Inconvenience", Langer v. Superior Steel - "Repudiated Pension", Nominal Consideration, The Seal and the Model Written Obligation Act, Cohen v. Cowles Media Co. "Journalist's Source", Apfel v Prudential-Bache Securities "Worthless Computer Technique", Jones v Star Credit, Alaska Packers' Assn' v. Domenico - "Sailors' Salary Increase"
McMichael v. Price - "Sand Requirements", Wood v. Lucy, Lady Duff-Gordon - "Output Contract for Product Endorsements", Bailey v. West - "Bascom's Folly", Mills v. Wyman - "Moral Obligation" & Webb v. McGowin - "Rescuer’s Recompense", Allegheny College v. Nat. Chautauqua County Bank - "Donation", Statute of Frauds
Embry v Hargadine - "Manifestation of Mutual Assent", Lucy v. Zehmer - "Joking Offer", Lefkowitz v. Great Minn. Surplus Store - "Ambiguous Offer", Leonard v. Pepsico - "Harrier Jet Ad"
Ever-Tite Roofing v. Green - "Performance as Acceptance", Carlill v. Carbolic Smoke Ball - "Medical Warrantee", Ammons v. Wison & Co. - "K.C. Shortening", Beneficial National Bank, USA v. Obie Payton - "Unilateral Credit Card Change", Adams v. Lindsell - "Misdirected Missive"
Minneapolis & St. Louis Railway v. Columbus Rolling-Mill - "The Mirror Image Rule", Textile Unlimited, Inc. v. A . BMH and Company - "Yarn Battle of Forms", The Gateway Cases - "Acceptance by Non-Return", Specht v. Netscape - "No Clickwrap"
Drennan v. Star Paving - "Mistaken Bid", Raffles v. Wichelhaus - "Peerless Ships", Hoffman v. Red Owl Stores - "Promised Store", Dixon v. Wells Fargo - "Unfulfilled Mortgage Modification"
Course: HTML & CSS Crash Course
Modules:
Test your knowledge!
Course: Google Cloud IAM and Networking for Azure Professionals
Modules:
Course Introduction, Resources and Access Management in Google Cloud, Module 1 Student Guide
Networking in Google Cloud, Module 2 Student Guide, What next?
Course: Amazon Connect Contact Lens Fundamentals
Modules:
Amazon Connect Contact Lens Fundamentals
Course: Digital Case Method
Modules:
Welcome, Getting Started, Why We Do This?, Introduction to the Digital Case, Types of Cases, Big Data Case, Case Use - In-person and Online Classes, Intro - 'Teaching with Cases' Film, Documentary - Teaching With Cases, From Story to Case with Kirsten Lundberg, Wrap up
Module 2 Intro, Intro - Internet in a Box, Internet in a Box, Supporting Student Cases, Intro to Visual Storytelling, Visual Storytelling, Tutorial - Intro to Gear Packages, Tutorial - Stabilizer Set Up, Tutorial - Filming With Your Stabilizer, Intro - Student Produced Cases, Documentary - Visual Storytelling through Student Produced Cases, Intro to Panel Discussions, Panel Discussion: Visual Storytelling in Higher Education, Wrap up
Module 3 Intro— Research, Story, and Interviews, Story Research and Development, Narrative Themes and Techniques, Introduction to Production Basics, Production Basics, Tutorial - Smartphone Interview, Introduction to DSLR Filming, Day Exterior DSLR Interview, Interior DSLR Interview, Neutral Background DSLR Interview, Conducting the Interview, Introduction to Rainforest Case, Rainforest Reserves, Intro - Documentary Student Cases #2, Documentary - Student Produced Cases #2, Wrap up
Introduction to Post and Writing, Working With Footage, Radio Cut and Narration, B-Roll, Music and Graphics, Introduction to Writing, The Written Case, Introduction - Digital Activism Case, "Digital Activism" Case, Digital Cases and Beyond, Intro - LTLC Discussion on AI, OER and Adaptive Learning, LTLC Panel Discussion - AI, OER and Adaptive Learning, Wrap up
Course: Advanced Data Visualization with Tableau
Modules:
Welcome to the Course, The Business Intelligence Analyst Role, Welcome to Week 1, Build a Motion Chart in Tableau, Hands-On Tutorial: Building a Dual-Axis Chart in Tableau, Hands-On Tutorial: Building a Gantt Chart in Tableau, Build a Bar-in-Bar Chart in Tableau
Welcome to Week 2, Build a Donut Chart in Tableau, Build a Funnel Chart in Tableau, Build a Waterfall Chart in Tableau, Build a Sparkline Chart in Tableau
Welcome to Week 3, Map Layers, Connecting to Spatial Data, Working with Spatial Data, Congratulations
Course: Medicaid Policy & Politics
Modules:
Part 1: Introductions, Government, and Rule-Making, Part 2: Health Insurance Types, Part 3: History, State-Federal Partnerships, and Payments
Delivery Systems & Managed Care Part I, Delivery Systems & Managed Care Part II, Delivery Systems & Managed Care Part III
State Plans and State Plan Amendments (SPAs), Waivers
Social Determinants of Health
Part I, Part II
AHCCCS 1, AHCCCS 2, AHCCCS Part III, AHCCCS Part IV, Tribal Health
Course: Improving Financial Planning with Oracle EPM
Modules:
Welcome to the Course
Why Oracle EPM for Financial Planning?, Identifying Oracle EPM Key Features for Forecasting and Financial Planning, Exploring How Oracle EPM Features Support Financial Planning
Streamlining Financial Planning and Analysis: Part 1, Streamlining Financial Planning and Analysis: Part 2, Exploring How Oracle EPM Features Support Financial Planning: Part 1, Exploring How Oracle EPM Features Support Financial Planning: Part 2
Course: Integração e Cibersegurança entre os Sistemas de Informação
Modules:
Integração versus Interoperabilidade em Sistemas de Informações, Arquiteturas e Padrões de Interoperabilidade, O Mundo das APIs, Oportunidades e Desafios da Economia das APIs, Construindo uma Estratégia de APIs em Negócios
Os Impactos da 4ª Revolução Industrial, Os Negócios na Era da Economia Digital, De Modelos de Negócios Digitais para Plataformas Digitais, Características das Plataformas Digitais Bem-Sucedidas e Sustentáveis, O Papel do API Product Manager
Cenário da Cibersegurança e a Importância para Economia de APIs, Ameaças, Ataques e Vulnerabilidades, OWASP Top 10 Controles Proativos - Parte 1, OWASP Top 10 Controles Proativos - Parte 2, Práticas de Segurança para o Consumo de APIs
Arquitetura de Micro Serviços, Contêineres e Dockers, DevOps, Computação em Nuvem, Modelos de Serviço em Cloud
Course: Responsible AI: Applying AI Principles with GC - Yкраїнська
Modules:
Вступ, Google і відповідальне використання ШІ, Ознайомлення з принципами Google щодо штучного інтелекту
Звіт аналітичного центру Economist Intelligence Unit, Бізнес-модель відповідальної інновації
Технічні аспекти й етичні проблеми ШІ, Занепокоєння щодо штучного інтелекту
Як було розроблено принципи Google щодо штучного інтелекту, Виявлення етичних проблем, Етичні цілі принципів Google щодо штучного інтелекту
Керування штучним інтелектом Google, Процес перевірки Google Cloud, Історія успіху Celebrity Recognition
Процес виявлення проблем, Знання, здобуті під час запровадження принципів щодо штучного інтелекту: виклики, Знання, здобуті під час запровадження принципів щодо штучного інтелекту: практичні поради
Подальші кроки на шляху до відповідального використання ШІ
Course: Vector Search and Embeddings - Français
Modules:
Pourquoi utiliser la recherche vectorielle ?, Générer des représentations vectorielles continues, Créer une recherche vectorielle, La recherche vectorielle en action, Recherche vectorielle avec RAG
Course: Advanced Deep Learning Techniques for Computer Vision
Modules:
Deep Learning for Computer Vision, Advanced Deep Learning Techniques for Computer Vision, Detecting Anomalies, Detecting Anomalies in MATLAB
Introduction to Data Augmentation, Data Augmentation for Object Detection
Model-Assisted Labeling
Starting Your Own Deep Learning Project, Working with Third Party Models, Integrating Your Code, Summary of Deep Learning for Computer Vision
Course: Excel Regression Models for Business Forecasting
Modules:
Excel Skills for Business Forecasting Introduction, Course introduction
Regression Models, Single Variable Regression, Single Variable Regression — Forecasts, Single Variable Regression — Tests
Multiple Variable Regression, Multiple Variable Regression — Introduction, Multiple Variable Regression — Forecasts, Multiple Variable Regression — Tests
Dummy Variable Regression, Binary Dummy Regression — Introduction, Binary Dummy Regression — Forecasts, Binary Dummy Regression — Tests
Seasonal Dummy Regression, Seasonal Dummy Regression — Introduction & Forecasts, Seasonal Dummy Regression — Tests, Autoregression, Composite Forecasts
Course: The Microsoft 365 Ecosystem
Modules:
Course introduction: The Microsoft 365 ecosystem, Introduction to Office 365, Word processing using Microsoft Word, Introduction to Microsoft Excel, Introduction to Microsoft Powerpoint, Introduction to collaboration and team work, Introduction to Microsoft Teams, Introduction to Microsoft Outlook, Office 365 Cloud Apps, features and services, Files in the cloud: Onedrive, Introduction to Microsoft Sharepoint, Microsoft To Do: Cloud based task management, Module summary: Introduction to Microsoft 365 components and services
Introduction to application integration, Integrating Microsoft Office with other Office applications, Integrating Microsoft To Do with Outlook and Calendar, Introduction to business productivity, Introduction to Microsoft OneNote, Introduction to Calendar and Events, Conducting meetings with Microsoft Teams, Introduction to digital platforms, Benefits of digital platforms for business and individuals, Introduction to Microsoft Dynamics 365, Digital platforms security, Module summary: Integration and business productivity
M365 advanced protection, Data loss and data leak prevention in M365, Multi-factor authentication features in M365, Understanding endpoint security, Introduction to ransomware, Windows security features, Introduction to workflow and automation, Introduction to Power Automate, Automating Microsoft Excel with Office Scripts, Automation with Microsoft Dynamics 365, Module summary: Security and automation
Course Wrap up: The Microsoft 365 Ecosystem, Congratulations
Course: Mulailah Proses Desain UX: Berempati, Mendefinisikan, dan Menciptakan Ide (ideate)
Modules:
Pengantar Materi 2: Berempati, Mendefinisikan, dan Menciptakan ide (ideate), Emily - Kekuatan penelitian UX, Kolaborasi dan umpan balik pada proyek portofolio, Pengantar penelitian UX, Christie - Desain dan pentingnya umpan balik, Memilih metode penelitian yang tepat, Memahami manfaat dan kelemahan metode penelitian, ​Craig - Perjalanan saya menuju UX, Kenali jenis bias dalam penelitian UX, Deana - Mengidentifikasi bias dalam UX research (penelitian UX), Akhir kata: Mengintegrasikan penelitian ke dalam proses desain
Berempati dengan pengguna, Merekrut peserta wawancara, Bersiap untuk wawancara pengguna, Melakukan wawancara pengguna, Peta Empati, Mengidentifikasi poin masalah pengguna, Memahami persona, Akhir kata: Berempati dengan pengguna dan menjelaskan poin-poin masalah
Selamat datang di Minggu ke-3, Merancang user story, Mempertimbangkan kasus tepi, Ayan - Contoh kasus tepi di dunia nyata, Membuat peta user journey, Mempertimbangkan aksesibilitas saat berempati, Memahami efek curb cut, Penutup: Membuat user story dan peta user journey
Selamat datang di minggu ke-4, Membuat pernyataan masalah, Mendefinisikan rumusan hipotesis, Menentukan sebuah proposisi nilai, Memahami faktor manusia, Menelusuri prinsip-prinsip psikologi yang mempengaruhi desain, Penyelesaian: Mendefinisikan masalah pengguna
Selamat datang di Minggu ke-5, Memahami ideasi desain, Mengeksplorasi berbagai ide, Mengenali kebutuhan perusahaan melalui ideasi desain, Menentukan lingkup persaingan, Keterbatasan audit kompetitif, Langkah-langkah untuk melakukan audit kompetitif, Menggunakan wawasan dari audit kompetitif untuk memunculkan ide, Vanessa - Langkah saya menuju UX, Menggunakan metode How Might We untuk mendapatkan ide, Menggunakan Crazy Eights untuk memunculkan ide, Pertimbangkan perjalanan pengguna selama proses ideasi, Rangkuman: Memunculkan ide untuk solusi desain, Selamat, Anda telah menyelesaikan Materi 2: Berempati, Mendefinisikan, dan Memunculkan Ide (ideate)
Course: Transfer pricing assessment, APA and Intra-group services
Modules:
Introduction to the module, Overview of the TP assessment procedure, Role and powers of AO and TPO in assessments, Important timelines, Penalties, Key takeaways
Introduction to the module, APA introduction, India APA overview, Indian APA process, APA signing, APA Compliances, APA revision/Cancellation/ Renewal, Key takeaways
Introduction to the module, Intra-group services - An Overview, Need-benefit test and Arm’s length analysis, Litigation landscape of intra-group services, Key contents of a defence file, Intra-group services-Transfer pricing and GST Interplay, Key takeaways
Course: Fundamentals of Cloud Computing
Modules:
Course Introduction and Objectives, Module Introduction and Objectives, Introduction to Shared Infrastructure, Shared Infrastructure in Your Reading, Introduction to On-Demand Access, On-Demand Access in Your Reading, Introduction to Scalable Services, Scalable Services in Your Reading, Introduction to Consumption-Based Pricing, Consumption-Based Pricing in Your Reading, Introduction to Accessed Anywhere by Any Device, Accessed Anywhere by Any Device in Your Reading, Create a Cloud Account, Module 1 Summary
Module Introduction and Objectives, Introduction to Public Cloud, Public Cloud in Your Reading, Introduction to Private Cloud, Private Cloud in Your Reading, Introduction to Hybrid Cloud, Hybrid Cloud in Your Reading, Introduction to Community Cloud, Community Cloud in Your Reading, Configure a Cloud Instance, Module 2 Summary
Module Introduction and Objectives, Introduction to Software as a Service (SaaS), SaaS in Your Reading, Introduction to Platform as as Service (PaaS), PaaS in Your Reading, Introduction to Infrastructure as a Service (IaaS), IaaS in Your Reading, Module 3 Summary
Course: Financial Statements in Power BI
Modules:
Introduction, Your Role as a Business Intelligence Developer, Video Call with CFOVideo Call with CFO, Challenges to Consider in the Project, Project Requirements Email, Final Project Requirements and Approach, Financial Statements Review, Case Study Files Overview
Introduction - Extract Data from the Database, Download Azure Data Studio, Student Task - Connect and Explore the Database, Student Task Review - Connect and Explore the Database, Entity Relationship Diagram, Plan the SQL Query, Student Task - Write the SQL Query, Student Task Review - SQL Query Part 1, Student Task Review - SQL Query Part 2, Create the SQL View, Chapter Review
Introduction - Create the Data Model, Create the Staging Query, Create the Fact and Dimension Tables, Create the Remaining Dimension Tables, Student Task - Create the Data Model, Student Task Review - Create the Data Model, Create SumAmount Measure, Chapter Review and Summary of Challenges
Week 1 Challenge
Introduction - Income Statement, Financial Statements with Existing Data Model, Create Headers Table in Excel, Import Headers Table into Power BI, Create I/S Amount Measure, Create I/S Subtotal Measure, DAX Functions, Create Income Statement Measure with SWITCH(), Create % of Revenue Measure, Format % of Revenue Measure, Finalize the Income Statement Measure, Create Subcategory Display Filter, Finalize the Income Statement, Add Data Refresh Date, Format the Power BI Report, Create the Waterfall Chart Visual, Chapter Exercise - Income Statement, Chapter Exercise Hints - Income Statement, Chapter Exercise Review - Income Statement
Week 2 Challenge
Chapter Introduction - Balance Sheet, Update the Headers Table, Create B/S Amount Measure, Create Cumulative Amount Measure, Create B/S Subtotal Measure, Create Balance Sheet Measure with SWITCH(), Create Opening Retained Earnings Measure, Create Retained Earnings Measure, Create Total Equity Measure, Create Total Liabilities & Equity Measure, Finalize the Balance Sheet, Chapter Exercise - Balance Sheet, Chapter Exercise Hints - Balance Sheet, Chapter Exercise Review - Balance Sheet, Add Detail and Create Additional Statements, Check-In and Review with CFO, Sharing a Data Model, From Power BI to Excel, Basic Example in Excel
Chapter Introduction - Cube Formulas, What are Cube Formulas?, A Closer Look at Cube Formulas, Use Slicers with Cube Formulas, Define Reporting Year Context for the Income Statement, Populate Basic Values of the Income Statement, Student Task - Complete the Income Statement, Student Task Review - Complete the Income Statement, Student Task - Build the Balance Sheet, Student Task Review - Build the Balance Sheet, Cash Flow Statement Introduction, Populate the Cash Flow Statement, Cash Flow Statement Review, Cube Formulas Review
Case Study Summary, Case Study Wrap-Up
Week 3 Challenge
Course: Feature Engineering 日本語版
Modules:
コースの概要
はじめに, Feature Store の利点, Feature Store の用語とコンセプト, Feature Store のデータモデル, Feature Store の作成, 特徴のサービング: バッチとオンライン
はじめに, 特徴量エンジニアリングの概要, 元データから特徴への変換, 良い特徴と悪い特徴の違い, 特徴を予測時に把握できる必要性, 特徴を数値にする必要性, 特徴に対する十分な例の必要性, 人間による分析の導入, 特徴の表現
はじめに, ML と統計の違い, 基本的な特徴量エンジニアリング, Google Cloud Platform と Qwiklabs を使って開始する, ラボの概要:  BigQuery ML での基本的な特徴量エンジニアリングを実行する, 高度な特徴量エンジニアリング: 特徴クロス, バケット化と変換関数, 住宅価格を予測する, タクシー料金を見積もる, 時間的な特徴と位置情報の特徴, ラボの概要: Keras での基本的な特徴量エンジニアリング, ラボの概要: Keras での高度な特徴量エンジニアリング
はじめに, Apache Beam と Dataflow, Dataflow の用語とコンセプト
はじめに, 特徴クロスとは, 離散化, ラボの概要: TensorFlow Playground: 特徴クロスを使った適切な分類子の作成, ラボの概要: TensorFlow Playground: 数多くのメリット
はじめに, TensorFlow Transform, 分析フェーズ, 変換フェーズ, サービングのサポート
まとめ, リソース: すべての理解度チェックの質問, リソース: すべての参考資料, リソース: すべてのスライド (English only)
Course: Planning of Metro Rail Systems
Modules:
About the Specialization, About the Course, Overview of Metro, Necessity of Mass Rapid Transit System, Transit Oriented Development, Different Types of MRTS Systems, Feasibility Study for MRTS Project, Sustainable and Smart Technologies, History and Evolution of Metros
Basic Interfacing Principles - Alignment, Urban Level Planning, Constraints and Restrictions, Planning of the Station, Integration of All Systems-I, Integration of All Systems-II, Building Information Modelling in Metros
Alignment/Span Configuration of Elevated Structures, Soil Condition and Type of Foundations - Pile/ Open, Substructure System - Pier/ Pier Cap, Choosing Type of Pier Based on Alignment Profile, Bearing Systems, Superstructure Types & Construction in Elevated Metro, Superstructure Construction Balanced Cantilever Method, Rail/Over Head Equipment Mast, Station Overall Layout, Station Foundation & Substructure, Pier Arm - Spine Wing or Cantilever, Platform - Precast or Cast-in-situ
Underground Stations and its Configurations, Cut and Cover Tunnels, Ramps and Shafts, General Description of Various Tunnels and Other Underground Structures, Components of a Tunnel, Stress Around an Underground Opening, Tunnel Failure Types, Tunnel Safety
HVAC Systems, Tunnel Ventilation System, Fire Protection System, Public Health Engineering, Electrical System -I, Electrical System -II, Fire Alarm System
Introduction to Contracts, Overview of FIDIC standards -I, Overview of FIDIC standards -II, Introduction to Quality Systems- I, Introduction to Quality Systems- II, Automated Guideway Transit Systems, Suspended Railway/ Monorail, High Speed Rail, Semi High Speed Rail, Maglev Trains History (1968 to Current), Vactrain History, Development and Technology, Future Transit Systems
Course: The ABCs of AWS: Learn the Basics of the AWS Cloud
Modules:
A is for Amazon API Gateway, B is for Amazon Bedrock, C is for AWS CloudFormation, D is for Amazon DynamoDB, E is for Amazon EC2, F is for AWS Fargate
G is for AWS Glue, H is for AWS Health, I is for AWS IAM, J is for AWS Jam, K is for Amazon Kinesis
L is for AWS Lambda, M is for Amazon Macie, N is for Amazon Neptune, O is for AWS Organizations, P is for PartyRock
Q is for Amazon Q, R is for Amazon RDS, S is for Amazon S3, T is for AWS Trusted Advisor, U is for AWS User Groups
V is for Amazon VPC, W is for AWS Well-Architected Framework, X is for AWS X-Ray, Y is for Why AWS? 6 Advantages of AWS, Z is for AWS Local Zones
Course: Seismology to Earthquake Engineering
Modules:
Seismology to Earthquake Engineering Teaser
1.1 Introduction to seismology and earthquake engineering, 1.2 Exploring the Earth, 1.3 Fundamentals of tectonics, 1.4 Fault mechanics, 1.5 Fault radiation, 1.6 Seismicity, 1.7 Rock behaviour in the lab, 1.8 Controlling seismic faults, 1.9 Earth is a huge magnet (part 1), 1.9 Earth is a huge magnet (part2), 1.10 Exploring Mars structure
2.1 Observation of seismic ground motion, 2.2 Propagation of seismic waves, 2.3 Seismic site effects, 2.4 Seismic wave amplification (1D), 2.5 Seismic wave amplification (2D/3D), 2.6 Soil and site characterization, 2.7 Measuring and observing earthquakes, 2.8 What about marsquakes?
3.1 Soil linear behaviour, 3.2 Soil nonlinear behaviour, 3.3 Seismic soil response, 3.4 Simplified analysis of soil response, 3.5 Application of the response spectrum, 3.6 Eigenmodes and modal superposition, 3.7 Recombining eigenmodes and directions, 3.8 Resisting seismic motion by isolation, 3.9 In situ characterization of complex structures, 3.10 Probabilistic Seismic Hazard Assessment
4.1 Dynamic soil-structure interaction, 4.2 Soil-Foundation-Structure interaction, 4.3 Dynamic soil behaviour in the lab, 4.4 Typical nonlinear material behaviors, 4.5 Behaviour and failure of structures, 4.6 Nonlinear behavior of structures, 4.7 Pushover analysis and capacity design, 4.8 Time-history analysis of discrete systems
5.1 Introduction to seismic risk, 5.2 Vulnerability and damage, 5.3 Vulnerability of masonry structures, 5.4 Dynamic testing of structures, 5.5 Seismic fragility curves, 5.6 Bayesian updating of seismic fragility curves, 5.7 Catastrophe and loss modelling