dipopotamus/custom_instruct_coursera_course_module_list huggingface dataset:
Course: Introduction to Deep Learning for Computer Vision
Modules:
Deep Learning for Computer Vision, Introduction to Deep Learning for Computer Vision, Introduction to Convolutional Neural Networks, Preparing Your Data for Classification, Creating and Training a CNN for Classification
Introduction to Transfer Learning, Performing Transfer Learning for Classification, Common Training Options, Training and Comparing Models with Experiment Manager
Interpreting Network Behavior, Addressing Common Issues
Final Project: Classifying the American Sign Language Alphabet, Course Summary
Course: Question Reality: Mind
Modules:
Introduction to Question Reality, Introdução do Curso em Português, Is Mathematics Discovered or Invented?, Is Math Reading the Mind of God?, Is Mathematics Really Perfect?, Computers and the Mind, Do We Live in a Simulation?, A Conversation with Adina Roskies: Do We Live in a Simulation?, Module 1 Wrap-Up Video
Brain and Consciousness, Conversation with Adina Roskies: Mind Body Problem, Conversation with Peter Tse: Consciousness, Conversation with Peter Tse: Mind-Body Problem, What Is The Nature Of Free Will?, Conversation with Margaret Graver: Free Will and Lucretius, Conversation with Adina Roskies: Free Will, Conversation with Peter Tse: Free Will
Artificial Intelligence, Conversation with Peter Tse:  Artificial Intelligence, Conversation with Adina Roskies: Will We Build An Artificial Intelligence?, Module 3 Wrap-Up Video
Course: Estructuras de datos en Python
Modules:
Universidad Austral, Bienvenidos a la clase, Formas de escribir strings, Strings dinámicos, Transformación de strings, Análisis de strings, Constantes de la librería string, Formateo de strings, Usos de fechas y horas, Conversión de fechas
Excepciones, Manejo de excepciones, Levantar excepciones, Crear tipos de excepciones, Trabajar con archivos, Leyendo archivos, Escribiendo archivos, Guardar datos estructurados, Trabajar con archivos CSV (Comma Separated Values)
Trabajando con listas, Listas y strings, Listas como pilas, Listas como colas, Listas por comprensión, Búsqueda de elementos, Métodos de ordenamiento, Conjuntos, Trabajando con Matrices
Trabajando con Tuplas, Empaquetado y desempaquetado de tuplas, Introducción al uso de diccionarios, Métodos de los diccionarios, Iterar diccionarios, Claves de diccionarios, Uso de generadores, Uso de decoradores
Course: MBA Essentials
Modules:
Introduction to the course, Welcome to Week 1!, What are business models?, Pipeline and platform business model characteristics, Strategies to design digital business models, Why is supply chain management (SCM) a hot topic?, Supply chain management and/or logistics?, What flows through supply chains?, SCM deals with goods and services, How to classify suppliers, Introduction to the global economy, International trade, Trade in Technology and Capital, Financial globalization, Going forward
Welcome to Week 2!, What is accounting analytics?, Accounting analytics vs traditional accounting and big data, What does the typical accountant need to know?, What does the future hold?, The SDGs: a brief history and its relevance to business, How are SDGs relevant for business and business leaders?, SDG integration and reporting, What is digital innovation?
Welcome to Week 3!, Introduction to project management, Methods and lifecycles, Project management skills, Conclusion, Defining organisational culture and cultural change, Cultural change management blockers and enablers of successful change, Leadership and cultural change management
Welcome to Week 4!, Understanding digital marketing strategy, Digital consumer, Consumer journey and digital touchpoints, Guest speaker on measuring digital marketing effectiveness, Challenges in business-to-business marketing, Developing the business-to-business essentials: Analysis, Case study reflections as analysis, Case study reflections in combination, Thanks for joining us!
Course: Fundamentals of Sales and Marketing, with Goldman Sachs 10,000 Women
Modules:
Welcome, Identifying the right marketing tools for your business, Introduction to the sales process, Understanding the role of analytics packages
Course: Preparando o Marketing Digital
Modules:
Importância da Segmentação e Estratégia STP, Como Entender e Construir a Segmentação para o seu Negócio - Parte 1, Como Entender e Construir a Segmentação para o seu Negócio - Parte 2, Diferença entre Público-Alvo, Consumidor e Segmento, Diferentes Visões e Tipos de Segmentação, Importância da Segmentação para a Evolução do Negócio
Por que Falamos de Jornada do Cliente?, Principais Pontos de uma Jornada do Cliente, Níveis de Conhecimento de Marca, A Jornada do Cliente e o Funil de Conversão, Onde Termina a Jornada do Cliente?
Princípios Básicos de Storytelling, Storytelling: Como era no Princípio..., Quando o Digital Ajuda o Storytelling, Quando o Digital Atrapalha o Storytelling, Resultados da Estratégia de Storytelling
De Planos para Programas – Como o Marketing é Executado - Parte 1, De Planos para Programas – Como o Marketing é Executado - Parte 2, Metodologia Ágil e Marketing -  Parte 1, Metodologia Ágil e Marketing -  Parte 2, Departamentos x Squads, Squads na Criação de Experiências para os Consumidores, MVP na Execução de Marketing
Course: Custom and Distributed Training with TensorFlow
Modules:
A conversation with Andrew Ng: Overview of course 2, What is a tensor?, Creating tensors in code, Math operations with tensors, Basic Tensors code walkthrough, Broadcasting, operator overloading and Numpy compatibility, Evaluating variables and changing data types, Gradient Tape, Gradient Descent using Gradient Tape, Calculate gradients on higher order functions, Persistent=true and higher order gradients, Gradient Tape basics code walkthrough
Custom Training Loop steps, Loss and gradient descent, Define Training Loop and Validate Model, Training Basics code walkthrough, Training steps and data pipeline, Define the training loop, Gradients, metrics, and validation, Fashion MNIST Custom Training Loop code walkthrough
Benefits of graph mode, Generating graph code, AutoGraph Basics code walkthrough, Control dependencies and flows, Loops and tracing variables, AutoGraph code walkthrough
Intro to distribution strategies, Types of distribution strategies, Converting code to the Mirrored Strategy, Mirrored Strategy code walkthrough, Custom Training for Multiple GPU Mirrored Strategy, Multi GPU Mirrored Strategy code walkthrough, TPU Strategy, TPU Strategy code walkthrough, Other Distributed Strategies
Course: Iniciação e Planejamento de Projetos
Modules:
Visão geral do curso
Teoria, Estudo de caso, Vídeo bônus
Teoria, Estudo de caso, Vídeo bônus
Teoria, Estudo de caso, Vídeo bônus
Teoria, Estudo de caso, Vídeo bônus
Entrevista com profissionais, Entrevista com profissionais, Entrevista com profissionais
Course: Generative AI: Foundation Models and Platforms
Modules:
Course Introduction, Deep Learning and Large Language Models, Generative AI Models, Foundation Models
Pre-trained Models: Text-to-Text Generation, Pre-trained Models: Text-to-Image Generation, Pre-trained Models: Text-to-Code Generation, IBM watsonx.ai, Hugging Face
Congratulations and Next Steps, Thanks from the Course Team, About the Optional Lab: Explore IBM watsonx.ai
Course: Attention Mechanism
Modules:
Attention Mechanism: Overview
Course: Open-source AI Models
Modules:
Test your knowledge
Course: Design Concepts in Metro Rails
Modules:
About the Specialization, About the Course, Components of Elevated station, Loads -I, Loads -2, Loads -3, Modelling and Analysis, Idealization of Framed Station- I, Idealization of Framed Station- II, Idealization of Cantielver Station, Design of Station Components- I, Design of Station Components-II, Analysis & design of Platform slab/track slab, Outline of  link bridge / above ground structures
Components of Elevated Metro Viaducts, Loads and introduction to IRC/IRS Codes, Analysis and Design of superstructure, Analysis of  Foundation and substructure, Design of Substructure, Design of Open Foundation, Design of Pile Foundation, Introduction to Modelling Software - STAAD Pro, Introduction to Modelling Software - Midas Civil
Underground Stations and its configurations, Types of Earth retaining structures-I, Types of Earth retaining structures-II, Types of Earth retaining structures-III, Diaphragm wall Analysis- Part 1, Diaphragm wall Analysis- Part 2, Diaphragm wall Analysis- 3, Diaphragm wall Analysis-4, Diaphragm wall Analysis-5, Diaphragm wall Design, Secant pile wall design, Guide walls, Strut and waler design, Capping beams
Codes of Practice, Dead loads, Live loads and SIDL for UG stations - Part 1, Codes of Practice, Dead loads, Live loads and SIDL for UG stations - Part 2, Earth and water loads, Surcharge and seismic loads, Construction loads, Load combinatiions, Fire resistant criteria, Soil Springs, 2D model generation and Result interpretation, 3D model and Result interpretation
SOD restrictions & Element sizing for UG Stations, Floatation calculation, Structural Elements Clear cover & fire rating, Design of D-wall, Modelling of underground stations, Design of Slabs(Base slab, concourse slab and roof slab) -Part 1, Design of Slabs(Base slab, concourse slab and roof slab) - Part 2, Design of Beam and column
Course: Protecting Business Innovations via Copyright
Modules:
Welcome to Protecting Business Innovations!, 1.1 Introduction to copyright overview, 1.2 What is copyright?, 1.3 How do I get copyright?, 1.4 What is excluded?, 1.5 Idea vs. expression, 1.6 The rights granted, 1.7 The infringement, 1.8 Proof of infringement, 1.9 Introduction to copyright summary
2.1 Copyright limitations overview, 2.2 What is fair use?, 2.3 How does fair use apply?, 2.4 Why might it be unfair?, Ask Teddy! A fair use Q&A section., 2.5 What are other copyright limitations?, 2.6 Expired copyright, 2.7 Entertainment protection risks, 2.8 More copyright limitations, 2.9 Copyright limitations summary, HKUST Live Class Discussion on Amazon topic
3.1 Derivative work & parody overview, 3.2 What is derivative work?, 3.3 Is translation allowed?, 3.4 Derivative work examples, 3.5 What is parody?, 3.6 Parody examples, 3.7 More fun examples (Optional), 3.8 Successful Parody, 3.9 Failed Parody, 3.10 Derivative work & parody summary
4.1 Protecting software innovations overview, 4.2 How to protect software innovations?, 4.3 How does DMCA affect rights?, 4.4 DMCA examples, 4.5 How is "look & feel" protected?, 4.6 Business software & employment issues, 4.7 Protecting software innovations summary, Live HKUST class discussion on Digiarty
Course summary
Course: Logistic Regression and Prediction for Health Data
Modules:
Data Science for Health Research: Specialization Introduction, How and When Binary Outcomes Can Arise, A Need for Models Beyond Linear Regression, Binary Outcomes, Comparing Between Two Groups (Part 1), Binary Outcomes, Comparing Between Two groups (part 2), Binary Outcomes, Comparing Between Two groups (part 3), Guided Practice: Z-Test, Guided Practice: Fisher's Exact Test, Analyzing a Binary Outcome and Binary Exposure with the Odds Ratio, Interpreting the Odds Ratio, 2x2 Example: The WCGS Cardiovascular Study
Limitations of the 2x2 Table Analysis, Logistic Regression: A First Look, Visualizing and Interpreting a Logistic Regression, Revising the 2x2 Example: WCGS Cardiovascular Study, Guided practice: Fitting a Simple Logistic Regression Against One Variable, Extending the WCGS Cardiovascular Model with Multivariable Logistic Regression, Prediction with Multivariable Logistic Regression, Logistic Regression: A Recap and Review, Guided Practice: Fitting a Logistic Regression Against More Than One Variable, Guided Practice: Calculating Predicted Probabilities, Guided Practice: Visualizing a Fitted Logistic Regression Model
Why Do We Need to Assess Predictions?, Extracting Probabilities from a Logistic Regression, How Do We Determine if Predicted Probabilities are "Good"?, Model Calibration, Hosmer-Lemeshow Test, Model Discrimination, Changing the Cutpoint Changes Sensitivity and Specificity, Receiver Operating Characteristic (ROC) Curve, Area Under the ROC Curve (AUC), AUC Example: Risk of Coronary Heart Disease, Brier Score, Cross Validation, Guided Practice: 
Assessing the Predictive Ability of Logistic Regression Models, Guided Practice: ROC and AUC, Guided Practice: Brier Score, Case Study: Treatment of Testicular Cancer
Course: Social Impact Strategy: Tools for Entrepreneurs and Innovators
Modules:
0.1. What to Expect in this Course, 1.1 Introduction to Social Innovation, 1.2 Traditional approaches to public problem solving, 1.3 A social entrepreneur's approach to problem solving, 1.4 Introduction to the social enterprise and the social enterprise spectrum, 1.5 The Importance of the business model, 1.6 Traits of social enterprise across the spectrum, 1.7. Meet Carlos and Coco, 1.8. Anatomy of a Social Entrepreneur
2.1 How Do We Find Innovations? Introduction to the Design Process, 2.2 Why is Design Thinking Important for Social Innovation?, 2.3 How to Design Part 1: Spark Useful Insights by Listening with Empathy, 2.4 How to Design Part 2: Identify the Most Powerful Insights and Potential Solutions by Building a Mind Map, 2.5 How to Design Part 3: Prototyping, 2.6 Embracing Creativity and Innovation, 2.7 Articulating your Roadmap to Impact: The Logic Model, 2.8 The Logic Model: Critical Elements, 2.9 The Logic Model: How to Use It, 2.10 Three Examples of Logic Models, 2.11 Tips for Building a Strong Logic Model, 2.12. Carlos and Coco Define and Design (Part 1:  Listening with Empathy, Empathy Maps, and Mind Maps), 2.13. Carlos and Coco Define and Design (Part 2. Prototyping and Logic Models)
3.1 Two Approaches to Measuring Performance: Social Return on Investment (SROI) and Ratings, 3.2 A Third Approach to Measuring Performance: The Balanced Scorecard, 3.3 Examples of Balanced Scorecards, 3.4 How to Develop a Balanced Scorecard - Overview, 3.5 How to Develop a Balanced Scorecard - Detail, 3.6 What is Scale?, 3.7 The Importance of Scale in the Social Sector, 3.8 Five Approaches to Scale - Overview, 3.9 Five Approaches to Scale - Details and Implications, 3.10 Approaching Scale Critically, 3.11. Carlos and Coco Pilot and Scale (Scorecard, Marketing Matrix, and Customer Segmentation)
4.1 Why you Need a Business Model, 4.2 Features of the Business Model, 4.3 Business Models along the Business Model Spectrum, 4.4 Choosing a Model - Introduction, 4.5 Choosing a Model - How to Choose, 4.6 Drilling Down on Assessment 2: Competitive Positioning, 4.7 Competitive Positioning: Market Characteristics and Differentiation, 4.8 An Example of Competitive Positioning: Blue Avocado, 4.9 An Example of Competitive Positioning: Jolkona, 4.10 Key Criteria of Competitive Positioning Assessment, 4.11 Choosing a Model - Pathways Lead to Many Organizational Forms that Can Result, 4.12 Balancing Mission and Profit, 4.13.Carlos and Coco Choose a Business Model, 4.14 The bottom line, 4.15. Key Questions all Social Innovators Must Ask
Course: Physics of Geometrical and Physical Optics
Modules:
Reflection and Refraction, How Light Propagates, Reflection by Huygens, From Huygens to Snell, The Path of Light, Reflecitons According to Fermat, From Fermat to Snell, Lecture 1, Lecture 2, Lecture 3, Lecture 4, Lecture 5, Lecture 6, Lecture 7, Lecture 1, Lecture 2, Lecture 1, Lecture 2, Lecture 3, Lecture 4, Lecture 5, Lecture 6, A Two-Lens Cloak, A Four-Lens Cloak
Lecture 1, Lecture 2, Lecture 3, Lecture 4, Lecture 5, Lecture 1, Lecture 2, Lecture 3, Lecture 4, Lecture 5, Lecture 6, Lecture 7, Lecture 8, Lecture 1, Lecture 2, Lecture 3, Lecture 4, Lecture 5, Lecture 6, Lecture 1, Lecture 2, Lecture 3, Lecture 4, Lecture 5, Lecture 6, Lecture 7, Lecture 8, SPT - The Fast Fingers
Lecture 1, Lecture 2, Lecture 3, Lecture 4, Lecture 5, Lecture 6, Lecture 7, Lecture 1, Lecture 2, Lecture 3, Lecture 4, Lecture 1, Lecture 2
New Video
Course: Learning, Knowledge, and Human Development
Modules:
Welcome to the Learning,  Knowledge, and Human Development Course, Foundations of Educational Psychology: Conditioned Reflex, Behaviorism and Human Intelligence
Brain Developmentalism, Social Cognitivism
Perceptions, Definition and Prevalence, Face to Face and Cyberbullying: The Connections, Sexual and Gender Based Bullying, Socio-ecological Perspectives, Can We Reduce Bullying?, A Focus on Bystanders, Social-Emotional Learning Approaches to Bully Prevention, Dimensions of Student Development, 7 Vectors of Student Development
Productive Struggle in Learning, Classifying Students as English Language Learners: What Is at stake?, What Happens When the Test Gets Harder, and Students Stay Classified as English Language Learners for Longer?, The Effects of Policy Change on the Test Results and Graduation Rates, Differences between States and Variation within States: Raising Questions that Require Qualitative Analysis
Course: Copyright Law in the Music Business
Modules:
Welcome!
What You'll Learn in this Lesson, Overview of Copyright, What Copyright Does NOT Cover, The Difference Between Copyrights, Patents, and Trademarks, The Six Exclusive Rights, The Six Exclusive Rights in Depth
What You'll Learn in this Lesson, Co-writing, Co-writing in Practice, Fair Use, Fair Use in Practice, Independent Creation, Returning Works to the Public Domain
What You'll Learn in this Lesson, Composition Copyright and Sound Recording Copyright, Sampling, The Difference Between Sampling and Replay/Interpolation, Legal Arguments Around Sampling and Replay/Interpolation, Case Study: The Sugarhill Gang v. Busta Rhymes
What You'll Learn in this Lesson, Lawyers and Judges, The Mechanics of a Lawsuit, Resolving Copyright Issues, Case Study: Blurred Lines, Congratulations!
Course: Gemini for Security Engineers - Français
Modules:
Présentation de Gemini pour les ingénieurs en sécurité, Gemini pour le pilotage des décisions de sécurité
Course: Image Segmentation, Filtering, and Region Analysis
Modules:
Specialization Overview, Image Segmentation, Filtering and Region Analysis, Reducing Noise with Spatial Filtering, Detecting Edges
Improving Segmentation with Morphology, Using the Image Segmenter App
Combining Multiple Masks, Using Clustering to Segment Images
Calculating and Using Region Properties, Putting it all Together, Analyzing 3D Images, Course Summary
Course: Definición y Medición
Modules:
Etapas principales del Mapa del flujo de valor, Valores numéricos de los métricos Seis Sigma
Secciones importantes del Project Charter, Aspectos relevantes del diagrama causa-efecto
Tipos de datos  utilizados en el conceptos de estabilidad y capacidad, Aspectos relevantes empleados en los índices de capacidad
Importancia de los estudios de Repetibilidad y Reproducibilidad (R y R), Análisis del Modo y Efecto de la Falla (AMEF), Entrevista con el experto
Course: Tobacco & Nicotine: Public Health, Science, Policy, and Law
Modules:
Introduction to Tobacco and Health, Combustible Tobacco Use, Introduction to Non-Combustible Products with Ken Warner, Continuum of Risk and Harm with Mitch Zeller, Causes of Smoking and Overall Trends with Ken Warner, Behavioral Health & Tobacco Use Trends with Chad Morris, Trends in Adolescent Tobacco Use with Richard Miech, Module 1 Wrap-up
Introduction to Module 2, Origins of the Cigarette Catastrophe with Robert Proctor, Deception, Corruption, and What is to be Done? with Robert Proctor, Industry Insider Perspective: Interview with Bill Farone, Massachusetts Tobacco Tax Campaign: Interview with Howard Koh, Evolving Marketplace of Nicotine Products with Mike Cummings, Contradictions within Industry Behavior with Mike Cummings, Module 2 Wrap-up
Introduction to Tobacco Policy, Tobacco Control Policy, Global Tobacco Policy (FCTC), Policy Interventions and Unintended Consequences - Abby Friedman, Module 3 Wrap-up
Litigation Introduction, Tobacco on Trial: Claims with Mike Cummings, Tobacco on Trial: Issues and Processes with Mike Cummings, A Look Back at the History of Tobacco Litigation and What Changed in the 1990s: Interview with Dan Zegart, State Attorney General Action and the Master Settlement Agreement: Interview with Mike Moore, Module 4 Wrap-up
Harm Reduction Module Introduction, Introduction to Harm Reduction with Mike Cummings, Historical Context of Alternative Nicotine Products with Mike Cummings, Modern Context of Alternative Nicotine Products with Mike Cummings, Harm Reduction Controversy and the Issue of Common Goals with Mitch Zeller, Module 5 Wrap-up
Modeling Introduction, What Is Modeling? with Rafael Meza, Why Do We Model? with Rafael Meza, Modeling in Tobacco Control with Rafael Meza, Menthol Cigarettes: Past, Present, and Future with David Mendez, Youth Nicotine Use with Ruoyan Sun, Forecasting Future Smoking Prevalence with Ken Warner, Module 6 Wrap-up
What is the Tobacco Endgame and Why Does It Matter?, Smoking Endgame in Aotearoa New Zealand: Case Study with Ben Youdan, Moderated Panel Discussion with Chris Bostic, Ann McNeill, and Ken Warner, Module 7 Wrap-up, Course Conclusion
Course: 离散优化建模高阶篇 Advanced Modeling for Discrete Optimization
Modules:
欢迎来到离散优化建模高阶篇 (英文原声中文字幕), 2.1.1 模型调试, 2.1.2 模型跟踪, 2.1.3 关系语义, 2.1.4 过多解, 2.1.5 丢失解, 2.1.6 基础模型改进, 2.1.7 单元1总结 (英文原声中文字幕), 工作坊习题课5解答 (英文原声中文字幕), 选项类型
2.2.1 谓词, 2.2.2 let-in 结构, 2.2.3 谓词的使用, 2.2.4 语境, 2.2.5 单元2总结 (英文原声中文字幕), 工作坊习题课6解答 (英文原声中文字幕)
2.3.1 基本调度, 2.3.2 分离调度, 2.3.3 累积调度, 2.3.4 序列依赖调度 1, 2.3.5 序列依赖调度 2, 2.3.6 单元3总结 (英文原声中文字幕), 工作坊习题课7解答 (英文原声中文字幕)
2.4.1 正方形打包, 2.4.2 直边形打包（不考虑旋转), 2.4.3 直线形打包（考虑旋转)
2.5.1 对称与LexLeader, 2.5.2 矩阵模型对称, 2.5.3 值对称, 2.5.4 支配, 2.5.5 单元4&5总结 (英文原声中文字幕), 工作坊习题课8解答 (英文原声中文字幕)
Course: Introduction to Visual Basic Programming
Modules:
Getting and Using Visual Studio, Getting and Installing .NET Core, Sending Output to the Console, Getting Input From the Keyboard, Console Input and Output Programming Solution
Working with Primitive Data Types Part I, Working with Primitive Data Types Part II, Working with String Data Types, Converting Between Data Types Video, Variable Scope, Data Types Programming Solution Part I, Data Types Programming Solution Part II
Boolean Expressions, If Statements, The Else Clause, Case Statements, Decision Branching Programming Solution
For Loops, Do Loops, Exit and Continue Statements, Iteration Programming Solution Part I, Iteration Programming Solution Part II
Course: Basics of Cisco Networking
Modules:
Instructor Welcome and Course Overview, Introduction to Computer Networks, Network Types and Protocols, Computer Network Devices and Roles, Types of Network Topologies, Introduction to the IOS and CLI, Module 1 Lab Demonstration Video, Introduction to the OSI and TCP/IP Networking Models, The Layers of the OSI and TCP/IP Networking Models, Introduction to IP Addressing and Subnetting, More IP Addressing and Subnetting, Subnetting Overview, More Subnetting and CIDR Notation
Introduction to Switching, Features and Capabilities of Cisco Switches, Configuring Basic Switch Operations, Introduction to Cisco Router Interfaces and Configurations, Introduction to Static and Dynamic Routing, Introduction to the Troubleshooting Model, Overview of Common Routing Issues and Solutions, Module 2 Lab Demonstration Video
Introduction to Network Monitoring, Overview of Network Management, Network Security Threats and Potential Impacts, Mitigating Security Threats, Best Practices for Securing Cisco Routers and Switches, Module 3 Lab Demonstration Video
Course: Microwave engineering and antennas
Modules:
Promo
Weblecture 1.1: General introduction, Weblecture 1.2: Applications, Weblecture 1.3: Time-harmonic signals and fields, Weblecture 2.1: Transmission lines part 1, Weblecture 2.2: Transmission lines part 2, QUCS intro
Weblecture 2.3: Microwave networks, Weblecture 2.4: Power combiners, Weblecture 2.5: Wilkinson combiners
Weblecture 2.6: Smith chart, Weblecture 2.7: Matching with lumped elements, Weblecture 2.8: Matching with distributed elements, Weblecture 2.9: Microwave filters
Weblecture 3.1: Antenna introduction, Weblecture 3.2: Antenna parameters, Weblecture 3.3: Link budget, Weblecture 3.4: Antenna impedance, Weblecture 3.5: Phased arrays introduction
Weblecture 3.6: Radiated fields (general case), Weblecture 3.7: Radiated fields (far-field case), Weblecture 3.8: Electric dipole, Weblecture 3.9: Wire antennas
Weblecture 3.10: Loop antennas, Weblecture 3.11: Magnetic sources and Equivalence principle, Weblecture 3.12: Horn antennas, Weblecture 3.13: Reflector antennas, Weblecture 3.14: Microstrip antennas, Weblecture 3.15: Phased arrays with real antennas, Weblecture 3.16: Method of Moments
Weblecture 4.1: Power Gain part 1 (check slides for correction), Weblecture 4.2: Power Gain part 2 (Check slides for correction), Weblecture 4.3: Noise part 1, Weblecture 4.4: Noise part 2
Weblecture 4.5: Stability part 1, Weblecture 4.6: Stability part 2, Weblecture 4.7: Impedance matching, Weblecture 4.8: Constant gain circles
Course: Migrating to the AWS Cloud
Modules:
Purpose of this Course, What is Migration?, Why Migrate, Migrations Early Considerations, Students for the Course, Migration Overview, Intro and Demo of AWS Prescriptive Guidance
What is Assessing, Migration Evaluator Deep Dive and Demo, Tools to Help, Migration Hub Deep Dive, Translating Into AWS Services Part 1, Translating Into AWS Services Part 2, Assessing Review, Additional Assessment Considerations
What is "Mobilization", Migration Plan Considerations, What Needs to be Migrated, Application Discovery Service Demo, Another Way to Migrate, AWS Management and Governance, Getting Ready to Migrate, Mobilize Review
What is Migrate and Modernize, Migrating Application and Servers, Migrating Databases, Migrating Data Part 1, Migrating Data Part 2, Snow Demo, Migrate and Modernize Review, Next Up, Course Review: Lessons Learned/Recap
Course: Design a User Experience for Social Good & Prepare for Jobs
Modules:
Introduction to Course 7: Design a User Experience for Social Good and Prepare for Jobs, Case study: Nest Hub Max, Paolo - My journey to UX, Welcome to module 1, Design for progressive enhancement and graceful degradation, Google's focus on the user, Design across devices with the 4 Cs, Capstone video guide for building new portfolio projects - Part 1, Capstone video guide for building new portfolio projects - Part 2
Explore personal brands, Use writing best practices in a portfolio, Start to build an online presence, Create or update social media profiles, Get involved in UX design communities, Network and find a mentor, Overcome impostor syndrome, Catherine - Conquer impostor syndrome, Wrap up module 2
Welcome to module 3, Prepare a UX portfolio for job applications, Introduction to the interview process, Conduct pre-interview research, Get to know the interviewers, Build rapport with interviewers, Cinthya - Interview tips from a hiring manager, Use strategies to answer interview questions, Jay - Interview tips from a hiring manager, Develop an elevator pitch, Kartik - Interview tips from an entry-level designer, Present a portfolio during interviews, Understand whiteboard interviews, Juan - Interview tips from a UX designer, Introduction to freelancing, Jennifer - My journey as a freelance UX designer, Create a business plan, Find clients as a freelance UX designer, Landing the first client, Wrap-up: Finding a UX job, Congratulations on completing Course 7: Design a User Experience for Social Good and Prepare for Jobs, Boost your UX design skills with AI, Generate personas with help from AI, Use AI to help with design iteration, Improve stakeholder communication with AI, Simplify complex frameworks using AI, Use AI to help write your portfolio copy, Introducing Google AI Essentials, Congratulations on completing the Google UX Design Certificate!, Exploring professional opportunities, Recap of the certificate program
Course: Animer une séance collaborative
Modules:
Introduction, Le fonctionnement collaboratif et la recherche de coopération, Trois techniques d’animation collaborative : les Focus groupes, les ateliers participatifs et le co-développement, Séquencement type d’une séance collaborative, Postures d’animation et de participation, Astuces et bonnes pratiques, Animer une réunion collaborative - Situation 1, Animer une réunion collaborative - Situation 2
Course: Les bases de la planification financière avec Goldman Sachs 10,000 Women
Modules:
Bienvenue, Présentation du cycle de trésorerie, Développement d’un plan de trésorerie, Analyse d'un plan de trésorerie, Les avantages de la planification
Course: Capstone: Build a Winning Investment Portfolio
Modules:
Meet the Professor, Welcome and introduction to the Capstone, Welcome and introduction to Module 1, Using Portfolio Visualizer – Historical Efficient Frontier, Using Portfolio Visualizer – Mean Variance Optimization, Overview of the Simulated Investment Management System (SIMS), SIMS Usage – Module #1, Exchange Traded Funds (ETFs)
Welcome and Introduction to Module #2, Macroeconomic Analysis, Forecasting Asset Class Returns, Using Portfolio Visualizer – Forecasted Efficient Frontier, SIMS Usage
Welcome and Introduction to Module #3, SIMS Usage
Welcome and Introduction to Module #4, Using Portfolio Visualizer – Factor Models
Welcome and Introduction to Module #5, SIMS Usage
Welcome and Introduction to Module #6
Course: Automating Real-World Tasks with Python
Modules:
Course introduction, Welcome to the Course!, Module 1 Introduction, Distributed systems, NALSD, Built-In Libraries vs. External Libraries, What is an API?, How to Make Sense of an API?, Generate and manage containers, Generate and manage containers: VS Studio & Docker, How to Use PIL for Working With Images, Project Problem Statement, Glossary terms from course 6, module 1, Qwiklabs Guidelines and Troubleshooting Steps
Module 2 Introduction, Web Applications and Services, RESTful APIs, What is REST architecture?, Using REST APIs to access web data, Python tools for REST APIs, What is Flask?, How to use Flask, Data Serialization, Data Serialization Formats, More About JSON, The Python Requests Library, Useful Operations for Python Requests, HTTP GET and POST Methods, What is Django?, Project Problem Statement, Glossary terms from course 6, module 2
Module 3 Introduction, Logging, The logging module, Exception handling, Exception handling examples, Introduction to Python Email Library, Adding Attachments, Sending the Email Through an SMTP Server, Introduction to Generating PDFs, Adding Tables to our PDFs, Adding Graphics to our PDFs, Project Problem Statement, DevOps, SLAs, SLOs, SLIs, Error budgets, DevOps review, Glossary terms from course 6, module 3, IT skills in action reading
Outtakes!
Introducing Google AI Essentials
Course: Prerequisites and Advanced Machine Learning for NLP
Modules:
Installation of Python and Anaconda, Python Introduction, Variables in Python, Numeric Operations in Python, Logical Operations, If Else Loop, For While Loop, Functions, Strings: Part 1, Strings: Part 2, List: Part 1, List: Part 2, List: Part 3, List: Part 4, Tuples, Sets, Dictionaries, Comprehension
Introduction, NumPy Operations: Part 1, NumPy Operations: Part 2
Introduction, Series, DataFrame, Operations: Part 1, Operations: Part 2, Indexes, loc and iloc, Reading CSV, Merging: Part 1, groupby, Merging: Part 2, Pivot Tables
Linear Algebra: Vectors, Linear Algebra: Matrix: Part 1, Linear Algebra: Matrix: Part 2, Linear Algebra: Going from 2D to nD: Part 1, Linear Algebra: Going from 2D to nD: Part 2
Matplotlib, Seaborn, Case Study, Seaborn on Time Series Data
Introduction to Machine Learning, Types of Machine Learning, Introduction to Linear Regression (LR), How LR Works?, Some Fun with Math Behind LR, R Square, LR Case Study: Part 1, LR Case Study: Part 2, LR Case Study: Part 3, Residual Square Error (RSE)
Prerequisite for Gradient Descent: Part 1, Prerequisite for Gradient Descent: Part 2, Cost Functions, Defining Cost Functions More Formally, Gradient Descent, Optimization, Closed Form Versus Gradient Descent, Gradient Descent Case Study
Introduction to Classification, Defining Classification Mathematically, Introduction to KNN, Accuracy of KNN, Effectiveness of KNN, Distance Metrics, Distance Metrics: Part 2, Finding k, KNN on Regression, Case Study, Classification Case 1, Classification Case 2, Classification Case 3, Classification Case 4
Introduction, Sigmoid Function, Log Odds, Case Study
Introduction, Example: Part 1, Example: Part 2, Optimal Solution, Case Study, Regularization, Ridge and Lasso, Case Study, Model Selection, Adjusted R Square
Introduction, History of Deep Learning, Perceptron, Multi-Level Perceptron, Neural Network Playground, Representations, Training Neural Network: Part 1, Training Neural Network: Part 2, Training Neural Network: Part 3, Activation Function
Course: Mindshift: Transforma tu mente para superar obstáculos en el aprendizaje y descubrir tu potencial oculto.
Modules:
1-1 Introducción - Sobre "Mindshift", 1-2 El Valor de Ser un Estudiante Lento, 1-3 De Pasivo a Activo, 1-4 El Valor de tu Pasado, 1-5 Maestría del Aprendizaje, 1-6 Enfocado vs. Difuso - Expandiendo tu Comprensión, 1-7 ¿Deberías Escuchar Música Mientras Estudias?, 1-8 ¿ Aprendiendo Algo Difícil ? El Truco de la Cafetería, 1-9 Tu Entorno Afecta Quién Eres, 1-10 El Mundo Cambiante - Ajustando Aspiraciones con Oportunidades, 1-11 Pasiones Naturales, Género y Elección de Carreras, 1-12 Resumen de la Semana 1, Video Opcional de Bonus: Tips de Memoria de Nelson Dellis #1
2-1 Introducción a la Semana 2, 2-2 El Valor de una Mala Memoria, 2-3 Meditación y Estados de Conciencia - Lo que hay que Buscar, 2-4 La Técnica del Pomodoro para Trabajar en la Meditación, 2-5 Superando la Procrastinación, 2-6 El Valor de la Fluidez Procedimental y la Práctica Deliberada, 2-7 Malas Notas y las Manos de Barb - El Valor de los Trucos Mentales, 2-8 Aprendiendo a Reenfocar - Coloca una Etiqueta, 2-9 Integra Todos tus Sentidos en el Aprendizaje - Las Trampas de los "Estilos de Aprendizaje", 2-10 ¿ Puedes Intentar Aprender Demasiado ?, 2-11 Tu Cerebro Social, 2-12 Resumen de la Semana 2, Video Opcional de Bonus: Entrevista con el Emprendedor de Singapur Adam Khoo, Video Opcional de Bonus: Tips de Memoria de Nelson Dellis #2
3-1 Introducción a la Semana 3, 3-2 Pasión y Trabajo - Parte 1, 3-3 Pasión y Trabajo - Parte 2, 3-4 Pasión y Trabajo - Parte 3, 3-5 Mindshifting - Qué Hacer ante la Adversidad, 3-6 Competencia General versus Ignorancia Selectiva, 3-7 Los Beneficios de Sentirse como un Impostor, 3-8 Evitando Estancamientos y Superando las Catástrofes en las Carreras, 3-9 Tus malos hábitos pueden ser tus mejores herramientas, 3-10 Inteligencia Emocional, 3-11 Resumen de la Semana 3, Video Opcional de Bonus: Tips de Memoria de Nelson Dellis #3, Video Opcional de Bonus: Tips de Memoria de Nelson Dellis #4 Recordando Nombres y Caras
4-1 Introducción a la Semana 4, 4-2 ¿Por Qué Deberías Mantenerte Aprendiendo ?, 4-3 Tips sobre MOOCs Parte 1 - Cómo Aprovechar los MOOCs al Máximo, 4-4 Pequeños Secretos de La Enseñanza Tradicional vs. La Enseñanza Masiva en Línea, 4-5 Una Visita al Sótano de Barb: La Receta Secreta de "Aprendiendo a Aprender", 4-6 Tips sobre MOOCs Parte 2 - Mirando más en Detalle el Aprendizaje de Calidad, 4-7 Mentores en tu Vida, 4-8 ¡Leer, Leer, Leer!, 4-9 Sobreviviendo en la Nueva Economía de la Información, 4-10 Resumen de la Semana 4, 4-11 Final: Descubriendo tu Potencial Oculto, Video Opcional de Bonus: Tips de Memoria de Nelson Dellis #5 Aprendizaje de Idiomas, Video Opcional de Bonus: Tips de Memoria de Nelson Dellis #6 Cómo Memorizar un Discurso o un Libreto
Course: Prediction Models with Sports Data
Modules:
Introduction to Prediction Models, Binary Outcome and Regression Part 1, Binary Outcome and Regression Part 2, Logistic Regression Part 1, Logistic Regression Part 2, Ordered Logistic Regression Part 1, Ordered Logistic Regression Part 2, Predictive Modeling - Basics of Forecasting
Gambling and Betting Markets, Betting Odd and Types of Bets, Betting Odds and Win Probabilities, Evaluating Betting Odds Using Brier Scores Part 1, Evaluating Betting Odds Using Brier Scores Part 2, Market Efficiency and Beating the Bookmaker
Forecasting EPL results: 1. Wages and Transfermarket Part 1, Forecasting EPL results: 1. Wages and Transfermarket Part 2, Forecasting EPL results: Within sample prediction Part 1, Forecasting EPL results: Within sample prediction Part 2, Forecasting EPL results: Out of sample forecasting Part 1, Forecasting EPL results: Out of sample forecasting Part 2, Forecasting EPL results: Forecasting the League Table
Forecasting Model: MLB, Forecasting Model: NHL Part 1, Forecasting Model: NHL Part 2, Forecasting Model: NBA
Gambling and the Development of Probability Theory, Gambling, Morality, and Sports Part 1, Gambling, Morality, and Sports Part 2, Social Policy and Sports Gambling, Problem Gambling Part 1, Problem Gambling Part 2, Match Fixing, Gambling and Sports
Course: Introduction to Genomic Technologies
Modules:
Why Genomics?, What Is Genomics?, What Is Genomic Data Science?, Just Enough Cell Biology, Important Molecules in Molecular Biology, The Human Genome Project, Molecular Biology Structures, From Genes to Phenotypes
Polymerase Chain Reaction, Next Generation Sequencing, Applications of Sequencing
What Is Computer Science?, Algorithms, Memory and Data Structures, Efficiency, Software Engineering, What is Computational Biology Software
Why Care About Statistics?, What Went Wrong?, The Central Dogma of Statistics, Data Sharing Plans, Getting Help with Statistics, Plotting Your Data, Sample Size and Variability, Statistical Significance, Multiple Testing, Study Design, Batch Effects, and Confounding
Course: Programación y presupuesto del proyecto
Modules:
¡Comencemos!, ¿Cuáles son los procesos de gestión del tiempo en un proyecto?, Tipos de cronogramas de trabajo, Método del cálculo de la ruta crítica, Ejercicio del método del cálculo de la ruta crítica, Uso del software MicroSoft Project en la programación
¿Cuáles son los métodos de estimación de recursos para un proyecto?, Aplicación de métodos de estimación de recursos para un proyecto
¿Cuáles son los procesos para determinar el presupuesto de un proyecto?, ¿Qué es la línea base del costo?, Uso del software MicroSoft Project para la línea base
¿Qué es el método del valor ganado? (Parte 1), ¿Qué es el método del valor ganado? (Parte 2), Aplicación del valor ganado en el control de proyectos, Uso del software MicroSoft Project en seguimiento y control de proyectos, ¡Hasta pronto!
Course: Graph Search, Shortest Paths, and Data Structures
Modules:
Graph Search - Overview, Breadth-First Search (BFS): The Basics, BFS and Shortest Paths, BFS and Undirected Connectivity, Depth-First Search (DFS): The Basics, Topological Sort, Computing Strong Components: The Algorithm, Computing Strong Components: The Analysis, Structure of the Web [Optional]
Dijkstra's Shortest-Path Algorithm, Dijkstra's Algorithm: Examples, Correctness of Dijkstra's Algorithm, Dijkstra's Algorithm: Implementation and Running Time
Data Structures: Overview, Heaps: Operations and Applications, Heaps: Implementation Details [Advanced - Optional], Balanced Search Trees: Operations and Applications, Binary Search Tree Basics, Part I, Binary Search Tree Basics, Part II, Red-Black Trees, Rotations [Advanced - Optional], Insertion in a Red-Black Tree [Advanced]
Hash Tables: Operations and Applications, Hash Tables: Implementation Details, Part I, Hash Tables: Implementation Details, Part II, Pathological Data Sets and Universal Hashing Motivation, Universal Hashing: Definition and Example [Advanced - Optional], Universal Hashing: Analysis of Chaining [Advanced - Optional], Hash Table Performance with Open Addressing [Advanced - Optional], Bloom Filters: The Basics, Bloom Filters: Heuristic Analysis
Course: مبادئ الإعلام والتسويق الرقمي
Modules:
مقدمة الدورة التدريبية, التسويق بصفته تواصل الجزء 1, التسويق بصفته تواصل الجزء 2, ثورة الإعلام الجزء 1, ثورة الإعلام الجزء 2, فهم وسائل إعلام التسويق, قُمع التسويق, نموذج المنتج المزدوج لوسائل إعلام التسويق التجاري, مقابلة مع Jan Slater: إعادة التفكير في الإعلام الرقمي مقابل الإعلام التقليدي, هل تعجبك هذه الدورة التدريبية؟ اعرف المزيد مع برنامج iMBA (الماجستير الدولي في إدارة الأعمال)! (اختياري)
الميزات الرئيسية للاتصال الرقمي, تأثيرات التقنيات الرقمية على انتشار المعلومات, تأثيرات التقنيات الرقمية على الإقناع الجزء 1, تأثيرات التقنيات الرقمية على الإقناع الجزء 2, تأثير التقنيات الرقمية على العلامات التجارية, تسويق المحتوى, إستراتيجية التسويق السياقي, مقابلة مع Jan Slater: ما هي العلامة التجارية؟, مقابلة مع Jan Slater: رسائل العلامة التجارية والمستهلكين الرقميين, مقابلة مع Jan Slater: سرد قصص العلامات التجارية على قنوات متعددة
اكتشاف واستهداف الجمهور الصحيح في عالم الإعلام الرقمي, الإعلانات المبرمجة الجزء 1, الإعلانات المبرمجة الجزء 2, التسويق البحثي, التسويق عبر وسائل التواصل الاجتماعي الجزء 1., التسويق عبر وسائل التواصل الاجتماعي الجزء 2., الإسناد التسويقي, تقديم العطاءات (المزايدة) في الوقت الفعلي, مقابلة مع Jeff Green: مثال داعم للجدوى التجارية للإعلانات المبرمجة في سوق مفتوح, مقابلة مع David Pickles: التفاصيل الأساسية للإعلانات المبرمجة, مقابلة مع Jeff Green: الإعلانات المبرمجة كعامل موحد وليس عامل زعزعة للتسويق الرقمي, مقابلة مع David Pickles: تجهيز شركتك لعصر الإعلانات المبرمجة, مقابلة مع Jeff Green وDavid Pickles: الخصوصية وأمن البيانات, مقابلة مع Jeff Green وDavid Pickles: مستقبل الإعلانات المبرمجة والتسويق الموجه بالبيانات
التسويق عبر الأجهزة الجوالة الجزء 1, التسويق عبر الأجهزة الجوالة الجزء 2, التسويق عبر الأجهزة الجوالة الجزء 3, أبعد من الشاشات, التسويق القائم على الموقع, التسويق التحادثي, مقابلة مع Jan Slater: استبق الأحداث بـأن تكون خفيف الحركة, برامج Gies عبر الإنترنت
Course: Electrical Characterization: MOSFETs
Modules:
Introduction to This Course
3.1.1: MOS C-V Curves, 3.1.2: Extracting Flat-band Capacitance, 3.1.3: Finding the Oxide Charge Density, 3.1.4: Worked Example
3.2.1: MOSFET Operating Regimes, 3.2.2: MOSFET Square Law, 3.2.3: Determining the Threshold Voltage
3.3.1 MOSFET Effective Length, 3.3.2 MOSFET Resistance
3.4.1: MOSFET Case Study Solution
Course: Engaging in Improving Patient Experience Through Analytics
Modules:
Meet Your Faculty: Craig Johnson, Meet Your Guest Speaker: Lisette Roman, It's not just about Neural Networks!, Predictions, Insights and Recommendations (CAHPS) Part B
Module Overview, Multi-Dimensional Opportunity, Blended Techniques for Optimization of  Interventions (Part B), Blended Techniques for Optimization of  Interventions (Part A), Blended Techniques for Optimization of  Interventions (Part C), Introduction to CAHPS, Addressing Bias in CAHPS Campaign Generation
Module Overview, Business Systems Context Diagram
Module Overview
Course: How to Change the World
Modules:
Introduction: Social Good and Tragedy of the Commons, Genealogy of the Idea of Social Good, Reciprocity and Giving Back to the Commons, From Legitimate Communal Regulation to Pressures for Exploitation, Fisheries Forests and Sustainable Productivity, Cultures  of Trust and Reinforcing the Commons by Practicing Cooperation, From Copyright to Communities of Cooperative Practice
Extreme Poverty – Introduction, Varieties of Poverty and Development, Listening to the Poor to Find Out What Works, Multi-Pronged Effort: Private Enterprise, Government and Inclusive Growth, Systematic Efforts to Find Out What Works Best, Breaking out of Cycles of Suffering, Inclusive Economic Growth and a Global Movement to End Poverty
Climate Change and Sustainability, Global Challenges and Local Responses, Making a Difference and Varied Challenges, Grassroots Politics and Climate Change (1), Politics and the Disruption of Ecosystems, Conversation with a Climate Economist on Risk Management, Risk, Assessment and Reducing Likelihood of Disaster, Conversation on Energy, Sustainability and Solution Science, Solution Science and What We Can Do
Disease and Global Health – Introduction, Democracy, Health and Engagement, Major Health Challenges and Responses (1), Major Health Challenges and Responses (2), Testing our Work to Make it Most Effective, Care, Organization and Making a Real Difference, Motivating Change and Holistic Responses to Poverty
Introduction and Quiet Violence Against Girls and Women, Social Entrepreneurship and Gender Lens Investing, Education and Risk Taking, Education and Building Human Capacity, Malala and the Courage of Education (1), Malala and the Courage of Education (2), You Can Have Impact: Nicholas Kristof and Sheryl WuDunn (Part 1), How We Can Change the World: Nicholas Kristof and Sheryl WuDunn
Wesleyan Students Share Their Thoughts about Change, Listening to the Local and Practical Idealism
Course: Management Fundamentals
Modules:
Introduction, Motivation, Motivation: Agency Theory Examples, Designing Incentive Systems, Hiring, Managing Performance and the Appraisal Process
Tasks vs. Jobs, How to Design Jobs, Drawbacks and Rethinking Job Design, Engineers and Psychologists: A Battle for Designing Jobs, Lessons from the Japanese and Auto Industries, Systems of Work
Good and Timely Decisions, Making a Good and Timely Decision, Making a Good and Timely Decision - US Examples, Another Example: Fighting a Fire, After Action Review and Summary
Designing and Changing Architecture: Hausser Food Example, Performance: Pay and Promotion, Organizational Design, David Pottruck and Charles Schwab Example, Managing People, Manager's Template for Human and Social Capital
Course: Teoria Geral da Administração para Executivos
Modules:
Introdução., Aula - Administração., Introdução., Aula - As Organizações., Introdução., Aula - Teorias e Escolas da Administração.
Introdução., Aula - Administração Científica., Introdução., Aula - Henri Fayol e o Processo Administrativo., Introdução., Aula - Max Weber e a Burocracia.
Introdução., Aula - Criação da Organização Moderna., Introdução., Aula - Pensamento Sistêmico., Introdução., Aula - Imagens das Organizações., Introdução., Aula - Gestão do Conhecimento., Introdução., Aula - Aprendizagem Organizacional., Introdução., Aula - Papel dos Gerentes., Introdução., Aula - Gestão de Qualidade.
Introdução., Aula - Ferramentas de Qualidade., Introdução., Aula - Eficiência e Eficácia., Introdução., Aula - Modelo Japonês de Administração.
Course: Ein Crashkurs in Datenwissenschaft
Modules:
Über Ihre Kursleiter, Was ist Datenwissenschaft?, Statistik nach Beispielaktivitäten, Maschinelles Lernen, Grundlagen, Maschinelles Lernen weiterführende Lektüre, Was ist Software-Engineering für die Datenwissenschaft?, Die Struktur eines datenwissenschaftlichen Projekts, Die Ergebnisse eines datenwissenschaftlichen Experiments, Die vier Geheimnisse eines erfolgreichen datenwissenschaftlichen Experiments, Werkzeugkasten eines Datenwissenschaftlers, Realität vs. Erwartungen
Course: Testing and Debugging in .NET Core Applications
Modules:
Why Testing Matters in Software Development Part 1, Why Testing Matters in Software Development Part 2, Overview of Testing Methodologies, Test-Driven Development (TDD) in .NET Core Part 1, Test-Driven Development (TDD) in .NET Core Part 2, Introduction to Testing Frameworks, Managing Test Cases and Test Suites, Running and Reporting Tests in Visual Studio
Basics of Unit Testing and Test Anatomy Part 1, Basics of Unit Testing and Test Anatomy Part 2, Test Fixtures and Setup/TearDown Methods Part 1, Test Fixtures and Setup/TearDown Methods Part 2, Assertions and Assert Libraries, Red-Green-Refactor Cycle in TDD, Introduction to Mocking and Isolation Frameworks, Mocking Dependencies for Unit Testing, Testing Exception Handling and Edge Cases Part 1, Testing Exception Handling and Edge Cases Part 2
What Is Integration Testing, Setting Up an Integration Testing Environment, Testing Database Access, Testing External Dependencies, Introduction to Automated UI Testing, Introduction to Performance and Load Testing Part 1, Introduction to Performance and Load Testing Part 2, Tools and Techniques for Load Testing in .NET Core
Overview of Debugging Process, Debugging Tools in Visual Studio, Conditional Breakpoints, Hit Counts, Debugging Multithreaded Applications, Debugging Web Applications and APIs, Effective Debugging Strategies and Workflow