dipopotamus/custom_instruct_coursera_course_module_list huggingface dataset:
Course: Requirement Specifications for Autonomous Systems
Modules:
Meet Your Instructor!, Outline of Specialization, Introduction to Course 2 – Requirement Specification
Stability, Stability: Examples, Lyapunov’s stability theorem, Lyapunov’s stability theorem: Examples, Stability of linear systems, Stability of linear systems: Example, Lyapunov functions for linear systems, Lyapunov functions for linear systems: Example, Input-to-state stability (ISS), ISS for linear systems, Lyapunov theorem for ISS, Lyapunov theorem for ISS: Examples, Stability of series interconnections, Stability of feedback interconnections
Computation of reachable sets via zonotopes, Computation of reachable sets for ISS systems, Safety certification, Basic concepts of languages, Regular expressions, ω-regular expressions, ω-regular expressions: Example
Nondeterministic finite automaton (NFA), Accepted Language of an NFA, Synchronous Product of NFAs, NFA recognizing regular languages, Deterministic Finite Automaton (DFA), NFA to DFA: Example, Linear-time properties, Nondeterministic Büchi automata (NBA), NBA for linear time properties, From NBA to ω-regular expressions, From ω-regular expressions to NBA, From ω-regular expressions to NBA: Example, Safety and co-safety linear properties
Linear Temporal Logic (Syntax), Linear Temporal Logic (Semantics), Equivalence of LTL Formulas
Course: Getting Started with SAS Visual Analytics
Modules:
Meet the Instructor & Certificate Overview, Taking Courses in this Professional Certificate
Business Scenario: Basics
Introduction to Visual Analytics, SAS Visual Analytics, Cloud Analytic Services (CAS), SAS Viya, SAS Visual Analytics Methodology, Business Scenario, Course Environment, Demo: Exploring SAS Drive, Business Scenario, Demo: Viewing a Report in Visual Analytics
Introduction to Preparing Data, Business Scenario, Visual Analytics Methodology: Access, Visual Analytics Methodology: Investigate, Data Types, Tables and Automatic Charts, Demo: Accessing and Investigating Data, Practice Scenario, Business Scenario, Visual Analytics Methodology: Prepare, SAS Data Studio, Demo: Preparing Data, Practice Scenario
Course: What is Social?
Modules:
Introduction, Course Overview, Welcome to Social Media Marketing 2020, The Capstone Project, Optional Resource Book you might find useful, How the Capstone Program Works, Brief [but Important] Announcement on the IBM Cloud System
Surviving the Digital Revolution, Media: From Chaos to Clarity, Professor Judy Franks on Media: From Chaos to Clarity, The Social Media Revolution, Digital Transformation Trends, 10 Important Trends for 2020, Identifying Social Trends
Viewing Social, Your Professional Network, Real-Time Social Data, WeFeelFine.org Demo, The Shifting Social Landscape, The Social Pyramid, Social Pyramid 2020, Developing your Professional Social Media Assets, Targeting Assignment Step by Step
The 3 M's of an Effective Content Strategy for Social Media Marketing, The 3 M's of Effective Content Strategy - Focusing on Markets, The 3 M's of Effective Content Strategy - Focusing on Messages, The 3 M's of Effective Content Strategy - Focusing on Media, Social Networks and Communities, Why Social Communities Form, Understanding Social Communities, How to Position Yourself as a Brand Authority, Developing your Social Media Tools for the Networking Assignment
Course: Using clinical health data for better healthcare
Modules:
Welcome and introduction, Introduction to Module 1, Five ways digital health data is changing healthcare, Data driven care: turning data from a personal health journey into actionable information, Do healthcare professionals really need to know data analytics?, The potential of health data to drive healthcare transformations: Digital Health CRC, Module 1 conclusion
Introduction to Module 2, What is health data? An introduction to health data classification, Overview of the data life cycle, Quality health data: What is it and why is it important?, What happens when we get it wrong? The impact of poor data quality, Data governance and privileges, Terminology and  key statistical concepts for interpreting data, Module 2 conclusion
Introduction to Module 3, From information to insight – Overview of analytics impacting healthcare, Key steps in the analysis of health data, Make sense of a data report, Everyday data queries common to decision making in healthcare, Carry out a simple (guided) health data analysis task, Top tips for your analytics journey, Module 3 conclusion
Introduction to Module 4, Make data meaningful: Best practice for the communication of health data, Use of data visualisations for collaborative decision making, Collaborating around data for healthcare improvement, Sharing data for research purposes, Case example: Digital health tools powered by shared health data Digital Health Co-operative Research Centre and Lorica Health, Case study: Real time data use. Pascal Metrics Project, NSW Health, Module 4 conclusion, Course wrap-up
Course: Gathering and Developing the News
Modules:
Sources in journalism, Why should journalists use sources?, Obstacles to reporting, Why should sources should trust journalists?
Why diversity matters, Rules for dealing with sources, Protecting sources, News Literacy
Preparing for interviews, How to conduct effective interviews, How to conduct person-on-the-street interviews, Working with trauma survivors
How to use crowd sourcing, How journalists use social media, Using documents, How to navigate press conferences
Course: Programming Foundations with JavaScript, HTML and CSS
Modules:
Course Overview, A Student's Perspective on Learning Programming, Resources to Help You Succeed, Tips for Learning Programming, Using Forums: How to Ask for Help Effectively
Using CodePen, What Is HTML?, Metadata and Sectioning Elements, Formatting Text and Nesting Tags, Adding Images and Links, Images and Storage, Lists and Tables, How CSS Is Used to Design Web Pages, CSS Basics, Colors and Names in CSS
Introduction, Everything Is a Number, How Is That a Number?, Developing an Algorithm, A Seven Step Approach to Solving Programming Problems, Variables, Methods, Functions, Types, DukeLearnToProgram Environment, For Loops, Conditional Execution, Translating to Code, Thinking Critically about Your Program, Finding Bugs in Code
Introduction, Buttons with Divs, Changing Pages Interactively, Using HTML5 Canvas, Inputs and Events, Upload and Display an Image, Convert Image to Grayscale, Moving to CodePen
Introduction, Steganography Part I, Steganography Part II, Steganography Part III, Steganography Coding Example
Course: Gemini for Application Developers - Español
Modules:
Presentamos Gemini para desarrolladores de aplicaciones, Desarrolla una app con la asistencia de Gemini, Implementa Node.js con Gemini
Course: AWS: Containerization
Modules:
Overview of Docker, Amazon ECS: Features, Amazon ECS: Containers and Images, Amazon ECS: Tasks, Cluster and Fargate, Amazon ECS - Creating an ECS Cluster, Amazon ECS - Creating Task Definitions, Amazon ECS - Creating Services and Tasks Part I, Amazon ECS - Creating Services and Tasks Part II, Amazon ECR, AWS Elastic Container Service - Cloudwatch, AWS Elastic Container Service - Pipeline Integration, AWS Elastic Container Service - Security
Amazon EKS Auto Scaling: Components, Amazon EKS Auto Scaling: Cluster and Nodes, Amazon EKS Auto Scaling: Storage and Networking, Amazon EKS on AWS Outposts, Amazon Elastic Kubernetes Service - Lab Part 1, Amazon Elastic Kubernetes Service - Lab Part 2
AWS App2Container: Components, AWS App2Container: Workflow, AWS App2Container - Lab
Course: Comunicação Oral
Modules:
Prólogo
Apresentação do capítulo 1, Comunicação, Postura, Storytelling
Apresentação do capítulo 2, Argumento, Retórica
Apresentação do capítulo 3, Pitch
Apresentação do capítulo 4, Slides, Espaço negativo
Apresentação do capítulo 5, Como se acalmar
Epílogo, Keynote 1: exemplo de conferência presencial, Keynote 2: exemplo de conferência remota
Course: 学会如何学习：帮助你掌握复杂学科的强大智力工具（Learning How to Learn）
Modules:
集中与发散思维概论, Terrence Sejnowski与Barbara Oakley——课程结构介绍, 利用集中与发散思维，或者采用一点画家达利所用的方法也行, 什么是学习？, 拖延症简介, 实践使记忆永存, 记忆概论, 睡眠在学习中的重要性, Terrence Sejnowski博士访谈, 1单元总结视频, 非常期待下一单元的内容！MaryAnne Nestor给出了特别提示, 可选的与Robert Bilder博士就创造力与问题解决能力进行的访谈, 可选的与写作教练Daphne Gray-Grant进行的访谈, 可选的对“爱尔兰多语种达人Benny”就语言学习进行的访谈
组块概论, 什么是组块？, 怎样形成组块——第1部分, 怎样形成组块——第2部分, 能力错觉, 是什么激励了你？, 组块库的价值, 过度学习、抑制、思维定势与交叉, 总结, 可选的与在麻省理工学习的Norman Fortenberry博士的访谈, 可选的与学习上的“马可·波罗”Scott Young的访谈, 可选的与作者Amy Alkon的访谈
拖延症与记忆概论, 治疗拖延症，这比你想象的更简单也更有价值, 僵尸意识无处不在, 冲浪练习：过程与结果, 利用你的僵尸意识来帮助自己, 应对生活与学习, 拖延症总结, 深入探索记忆, 什么是长期记忆？, 创建有意义的小组和记忆宫殿的技巧, 记忆总结, 可选的与4届美国记忆冠军赛冠军得主Nelson Dellis的访谈, 可选的与获奖双语学家Robert Gamache的访谈, 可选的与斯坦福大学Keith Devlin（美国公共广播电台“数学达人”）的访谈
怎样成为更好的学习者, 复兴式学习与释放你的潜力概论, 创建生动的视觉比喻或类比, 不需要羡慕天才, 改变你的思维，转变你的人生, 团队合作的价值, 测验清单, 先难后易, 有用的、有关测验的最后提示, 总结, 由Terrence Sejnowski与Barbara Oakley总结课程, 可选项：第1部分：怎样才能不参加测验，与Richard Felder博士和Rebecca Brent博士的访谈, 可选项：第2部分：学习新事物、与Richard Felder博士和Rebecca Brent博士的访谈, 可选项：第3部分：冒充者综合征和治疗拖延症，与Richard Felder博士和Rebecca Brent博士的访谈, 可选项：作家John Maguire（readablewriting.com）谈论在自己的写作中添加对象的重要性, 与William Craig Rice就人文学科的学习进行的可选式访谈
课程目标, 课程答疑, 评分：加权评估, 帮助翻译学会如何学习的内容, 讲师, 学习专家, 助教, 时间动力学学术中心, 开发小组, 阅读, 十大优秀的学习习惯和不良的学习习惯, 十大学习习惯（葡萄牙文版）, 意大利语总结材料, 法语总结材料, 进一步探索学会如何学习, 再见与你好！
Course: Object-Oriented Design
Modules:
1.1.1 – Welcome to Software Design and Architecture, 1.1.2 – Software Architect and Design Roles in Industry, 1.1.3 – Object-Oriented Modeling, 1.1.4 – Software Requirements, Conceptual and Technical Designs, 1.1.5 – Competing Qualities and Trade-offs, 1.1.6 – Record, Organize, and Refine Components
1.2.1 – Models: Bridging Concepts and Solutions, 1.2.2 – Languages Evolution, 1.2.3 – Abstraction, 1.2.4 – Encapsulation, 1.2.5 – Decomposition, 1.2.6 – Generalization, 1.2.7 – Abstraction in Java and UML, 1.2.8 – Encapsulation in Java and UML, 1.2.9 – Decomposition in Java and UML, 1.2.10 – Generalization with Inheritance in Java and UML, 1.2.11 – Generalization with Interfaces in Java and UML
1.3.1 – Coupling and Cohesion, 1.3.2 – Separation of Concerns, 1.3.3 – Information Hiding, 1.3.4 – Conceptual Integrity, 1.3.5 – Inheritance Issues, 1.3.6 – UML Sequence Diagram, 1.3.7 – UML State Diagram, 1.3.8 – Model Checking
Capstone Assignment 1.4 - Update the Application (Solution), Discussion: Last Word – Object-Oriented Design, Acknowledgements, Credits
Course: GPT Vision: Seeing the World through Generative AI
Modules:
Introduction, Radical Workplace Productivity with Vision, Our Second Set of Eyes, Prompts & Prompt Patterns, Description Pattern, Description Pattern to Social Media Post, Description + Query Pattern, Description + Persona Pattern
Extraction, Structured Data Extraction Pattern, Inferring Information & Specifying Templates for Extracted Data, Similarities & Differences Pattern, Similarities & Differences with a non-Image, Inventory Pattern, Coordinate System Pattern, Organization Pattern, Flipped Interaction, Detailed Context
Course: Child Nutrition and Cooking
Modules:
Introduction To Child Nutrition, Food is more than just nutrition, Why home cooking matters, Why are there so many processed foods?, USDA nutrition guidelines, The Six Ingredients Every Kitchen Needs, Stocking a Kitchen Pantry, Egg-in-a-hole, Smoothie, Vegetable Stir-Fry
How to create a balanced meal, Carbohydrates, Fats, Proteins, Sugar - Too much of a good thing?, Hunger and the "Glycemic Index", How to eat in moderation, Oatmeal, Homemade Pasta Sauce, Almond Cake
Navigating a supermarket, Shopping for vegetables, What are the most nutritious foods?, Packing a lunchbox, The family meal, Dealing with picky eaters, Chicken Nuggets, Cupcakes
Sustainable Eating, What does "organic" mean?, What does "locally grown" mean?, Healthy People = Healthy Planet, Growing a kitchen garden with Rita Bottini, Growing a kitchen garden, Fish, Soups, Steam vegetables
The 8 foods that cause most food allergies, Understanding taste, Reading nutrition labels, Protecting Children's Health, Food's environmental impact, Stew, Salad Dressing, Crepes, Roast vegetables
Course: Access Control
Modules:
Biometrics, Single Sign-On, Identity Management Life Cycle, Trusted Computing Base
Course: Nursing Informatics(护理信息学)
Modules:
Introduction & Promotion, 1, Development history of nursing informatics, Nursing informatics related associations, journals and conferences, Examples in practice of nursing informatics
Overview of nursing informatics education, Nursing informatics education program, Informatics competencies, Nursing informatics qualification
Overview and development of Nursing Information System, Framework and workflow of Nursing Information System, Nursing Station and Personal Digital Assistant, Clinical Decision Support System, Challenge and future development
Concept and function of mobile nursing and telenursing, Technical support and future plan of mobile nursing and telenursing, Application and development of Distance Nursing in long-term care, Artificial intelligence application in hospital management
Fundamental Knowledge of Nursing Informatics- Human Cognition_1, Fundamental Knowledge of Nursing Informatics- Human Cognition_2, Visual display design in nursing informatics_1, Visual display design in nursing informatics_2
The Future of Nursing Informatics_1, The Future of Nursing Informatics_2, Trend of Nursing Information Technology in Nursing Education_1, Trend of Nursing Information Technology in Nursing Education_2
Course: Introduction to Computer Vision and Image Processing
Modules:
Introduction to Computer Vision, Applications of Computer Vision, Recent Research in Computer Vision, Brainstorming Your Own Applications
What Is A Digital Image, Manipulating Images, Manipulating Images One Pixel At a Time, Pixel Transformations, Geometric Operations, Spatial Operations in Image Processing
Introduction to Image Classification, Image Classification with KNN, Linear Classifiers, Logistic Regression Training: Gradient Descent, Mini-Batch Gradient Descent, SoftMax and Multi-Class Classification, Support Vector Machines, Image Features
Neural Networks, Fully Connected Neural Network Architecture, Convolutional Networks, CNN Architectures
Object Detection, Object Detection with Haar Cascade Classifier
Task 5: Peer Reviewed Assignment
Course: Audio Signal Processing for Music Applications
Modules:
Teaser, Welcome, Introduction to Audio Signal Processing, Course outline, Basic mathematics, Introduction to Audacity, Introduction to SonicVisualizer, Introduction to sms-tools, Introduction to Python, Python and sounds, sms-tools software
DFT 1, DFT 2, Analyzing a sound, Introduction to Freesound, Sinusoids, DFT
Fourier properties 1, Fourier properties 2, Periodic signals, Complex sounds, Spectrum, Fourier properties, dftModel
STFT 1, STFT 2, Spectrogram, Analyzing a sound, Windows, STFT
Sinusoidal model 1, Sinusoidal model 2, Sinusoidal model 3, Sinusoidal model, Analyzing a sound, Peak detection, Sinusoidal synthesis, sineModel
Harmonic model, F0 detection, Pitch detection, Harmonic model, Analyzing a sound, F0 detection, harmonicModel
Stochastic model, Sinusoidal plus residual modeling, Stochastic model, Harmonic plus residual model, Harmonic plus stochastic model, stochasticModel, hprModel, hpsModel
Sounds transformations 1, Sounds transformations 2, Morphing with STFT, Time scaling, Pitch changes, Morphing with HPS, stftTransformations, sineTransformations, hpsTransformations
Audio features, Sound and music description, Sound descriptors, Freesound, Intro to Essentia, Freesound API
Beyond audio processing, Review, MTG-UPF, Goodbye, Dunya, AcousticBrainz
A music piece combining sounds and their transformations, Sound and music description, revisited, A multi-resolution sinusoidal model
Course: Value-Based Care: Quality Improvement in Organizations
Modules:
If this is your first VBC course, please watch our Welcome., How This Course Works, Level Set, PDSA as a Model for Continuous Quality Improvement, Plan, Do, Study, Act, Other Continuous Improvement Models: Six Sigma, Lean Six Sigma, Agile, Community Models for Continuous Improvement, A Quality Improvement Plan, Becoming an Effective Organization
Level Set, Developing and Retaining a High-Performing, Cohesive Team, Accurate Coding and Documentation and CMS Stars Ratings, Team-Based Model of Care, Preventive Medicine, Clinical Data Analysis, Customer Service, Revenue Models, Staff Retention and Team Development, Team Communication, Advancing Diversity in the Organization, Hiring, Developing, and Retaining Leadership, Becoming a Learning Healthcare System, Leading from Where You Are
Peer Review
Course: Grow with AI: Your AI-driven Growth Marketing strategy
Modules:
Introduction and welcome, Introduction to growth marketing, AI & growth marketing: A perfect match, Review the customer journey framework, Decode market trends with AI, Outsmart competitors with AI-powered analysis, Craft customer-centric strategies using AI insights, Set a strategic direction with AI, Identify your target audience with AI, Design a highly converting customer journey with AI
Introduction to module 2, Fundamentals of customer attraction and email list generation, AI Strategies for Customer Discovery and Engagement, Identify content topics with AI, AI-enhanced lead capture strategies, AI in organic content creation, AI for optimizing paid advertising content, Essential tools for AI-enhanced list building, Master AI-powered lead segmentation, Implement effective lead segmentation
Introduction to module 3, Foundations of lead nurturing and acquisition strategies, The role of marketing automation in lead conversion, Design a lead nurturing sequence with the help of AI, Implement automated lead nurturing sequences, AI for personalization scaling: Convert customers on autopilot, AI for direct email personalization, Enhance customer onboarding and experience with AI, AI applications to customer service, Explore customer advocacy strategies with AI
Introduction to module 4, Analyze marketing key performance indicators (KPIs) with AI, Measure funnel conversions performance using AI, AI applications in customer experience analytics, Enhance top-of-the-funnel strategies with AI, Refine funnel conversions and acquisition strategies with AI, Boost customer satisfaction and retention through AI insights, Navigate ethical AI use in Marketing, Stay ahead with AI and Marketing innovations, AI beyond Marketing: Catalyzing organizational growth, Wrap up and key takeaways
Course: Digital business - Grow on digital world
Modules:
The ecosystems of platforms, Digital Open Innovation, The impact of digital technologies on business models, Connecting products and businesses
Regulation instruments, Property in the digital world, Market failures
Unlearning to count, The financial value of non-listed platforms, Platform growth
Course: Sustainable Regional Principles, Planning and Transportation
Modules:
Understanding Growth, A Regional Plan, Community Involvement, Transect Characteristics, The Neighborhood, Growth Priorities, Affordable Housing, Locally Undesirable Land Uses, Food Security, Shared Wealth and Governance, Legalizing Smart Growth, Water Availability
Regional Planning Process Steps 1 and 2, Regional Planning Process Steps 3 and 4, Regional Planning Process Step 5, Regional Planning Process Step 6, Regional Planning Process Steps 7 and 8, Regional Planning Process Steps 9 and 10, Paradigms of Redevelopment: Anchor Institutions, Paradigms of Redevelopment: Urban Rivers and Existing Urban Fabric, Paradigms of Redevelopment: Urban Parks Systems and Downtown District
Introduction to Balance Options, A Multimodal Balance, Planning for Ease of Use, Impact of Development and Traffic, Prioritizing Livability, More Multimodal Considerations, Supporting a Multimodal System, An Example of a Regional Transportation System
Introduction to Fairfax County Transportation Plan, Objective 1, Objective 2, Objectives 3-5, Objectives 6-7, Objectives 6-9, Objectives 10-13
Course: The fundamentals of hotel distribution
Modules:
Mooc introduction, Historical evolution, The hotel business value chain, Franchise and Management agreements, Growth and the value of branded hotel chains, Hotels as economic units, Introduction to revenue management, Trends and challenges, Wrap-up and conclusion
Why hotel distribution?, The origins of hotel distribution, The web revolution, Working with the OTAs, OTA Business Model, The brand.com site, The forgotten majority: traditional channels, The distribution cost puzzle, The true cost of brand.com, The price parity paradox, Magnificent Meta-Search, Disruption in the market place?
Introduction, Deciding what you want, Registering your domain name, Content, What is good hotel content?, Creating your web pages, Selecting a good hosting solution, Introduction to online marketing, Organic search engine marketing, Paid search engine marketing, Email Marketing, Display Advertising, Affiliate marketing, Social Media Marketing, Using Analytics for customer insight, Wrap-up and conclusion
Working With Online Travel Agents, Why OTA's?, Reach, The Billboard Effect, Pay-per-Performance, Reactivity, Market Information, Introduction, Photos, Content, User Reviews, Competitive Rates, Manage Availability, How should a hotel work with Expedia?, How should a hotel work with Booking.com?, Conclusion
Course: Mastering Data Analysis in Excel
Modules:
About This Specialization, Introduction to Mastering Data Analysis in Excel
Introduction to Using Excel in this Course, Basic Excel Vocabulary; Intro to Charting, Arithmetic in Excel, Functions on Individual Cells, Functions on a Set of Numbers, Functions on Ordered Pairs of Data, Sorting Data in Excel, Introduction to the Solver Plug-in
Introduction to Binary Classification, Bombers and Seagulls:  Confusion Matrix, Costs Determine Optimal Threshold, Calculating Positive and Negative Predictive Values, How to Calculate the Area Under the ROC Curve, Binary Classification with More than One Input Variable
Quantifying the Informational Edge, Probability and Entropy, Entropy of a Guessing Game, Dependence and Mutual Information, The Monty Hall Problem, Learning from One Coin Toss, Part 1, Learning From One Coin Toss, Part 2
Introducing the Gaussian, Introduction to Standardization, Standard Normal Probability Distribution in Excel, Calculating Probabilities from Z-scores, Central Limit Theorem, Algebra with Gaussians, Markowitz Portfolio Optimization, Standardizing x and y Coordinates for Linear Regression, Standardization Simplifies Linear Regression, Modeling Error in Linear Regression, Information Gain from Linear Regression
Describing Histograms and Probability Distributions Functions, Some Important and Frequently Encountered PDFs, Linear Regression with More than One Input Variable, Understanding Why Over-fitting Happens
Final Project Information:  Part 1, Final Project Information:  Part 2
Course: Reaching Vulnerable Groups through Pandemic Policy
Modules:
Module 1, Lesson 1: COVID-19 and vulnerable groups, Module 1, Lesson 2: COVID-19 and vulnerable groups
Module 2, Lesson 1: general welfare support, Module 2, Lesson 2: Supporting young people and children, Module 2, Lesson 3: Supporting homeless people, Module 2, Lesson 4: supporting refugees and migrants
Module 3, Lesson 1: CAW Mindspring, Module 3, Lesson 2: Social housing, Module 3, Lesson 3: Pigment vzw, Module 3, Lesson 4: RefueesWellSchool
Module 4, Lesson 1: Best practices, Module 4, Lesson 2: Biggest challenges
Introduction: 'Hard to Reach'
Insights from Italian Roma Communities:  Trusted Leaders
Insights from Border-Crossers: COVID-19 and Politics of Solidarity
Insights from Undocumented Communities in Rome
Equitable Engagement in Humanitarian Settings
Course: Using Git for Distributed Development
Modules:
Introduction to Using GIT for Distributed Development (Course 4), Module 1 Overview, Revision Control, Graphical Interfaces for Git, Using a Browser and cgit on the Linux Kernel Source (Demo), Revision Control Systems
Module 2 Overview, Concepts and Design Features, Git Architecture, Committing vs. Publishing, Upstream vs. Downstream, Forking, File Categories, Making a Commitment, Branches, What Is Merging?
Module 3 Overview, Working with Distributed Repositories, Why Use Patches?, Emailing, Gerrit
Course: Space Safety
Modules:
Key Note Lecture
Introduction, Space Debris, Mitigation, Measurements, Protection, Atmospheric Re-entry
Part 1: Space weather, Part 2: Space weather, Part 1: Solar and heliospheric weather, Part 2: Solar and heliospheric weather, Part 1: Space weather interaction with the earth, Part 2: Space weather interaction with the earth, Protection against space weather
Introduction, Space debris modelling, Space debris observations, Operating in space debris environment, Space debris mitigation, Space debris future
Surveillance and orbit determination, Conjunctions, Collision probability, Collision avoidance manoeuvres, Operational practice
Introduction, Observations, Orbit determination and impact monitoring, Mitigation, The main players and summary
The establishment of GSSAC, SST Sensors at National Level, National duties & services, International Relations & Summary
Governance, Legislation, ICT Market
Part 1: Man in Space, Part 2: Man in Space, Ground-based Space Research on Cell Biology, Stress for the Brain – the Structural Consequences of Long-duration Spaceflight, Space Research and Intensive Care, Space Simulation
Course: Automation and Optimization in Azure
Modules:
Introduction: Azure Automation and Optimization in Azure, Introduction: Azure Network Automation, ARM Templates, Azure Powershell From Local Machine, Azure CLI from Local Machine, Deploy Virtual Network Using ARM, Creating Virtual Network using Powershell, Creating Virtual Network using CLI, Creating Virtual Machine in the Virtual Network Using ARM Part 1, Creating Virtual Machine in the Virtual Network Using ARM Part 2, Creating Azure Bastion in the Virtual Network Using ARM, Creating Virtual Machine in the Virtual Network Using Powershell, Creating Virtual Machine in the Virtual Network Using CLI, Creating Azure Bastion in the Virtual Network Using Powershell, Creating Azure Bastion in the Virtual Network Using CLI, Conclusion: Azure Network Automation
Introduction: Azure Virtual WAN Automation, Create Virtual Hub Using Powershell, Site to Site Connectivity Configuration using Powershell Part 1, Site to Site Connectivity Configuration using Powershell Part 2, Point to Site Connectivity Configuration using Powershell, Azure Monitor, Log Analytics, Azure Monitor Alerts Demo Part 1, Azure Monitor Alerts Demo Part 2, Conclusion: Azure Virtual WAN Automation
Introduction: Network Performance Monitoring and Optimization, Network Performance Monitor, Azure Accelerated Networking, Create a VM with Accelerated Networking Using Powershell Part 1, Create a VM with Accelerated Networking Using Powershell Part 2, QOS for Virtual Network, QOS for a VM Network Adapter, Commands to Configure QOS for a VM Network Adapter, Traffic Shaping, Conclusion: Network Performance Monitoring and Optimization, Conclusion: Azure Automation and Optimization in Azure
Course: 企业金融概论（中文版）
Modules:
第 1 单元：直觉贴现, 第 2 单元：复利, 第 3 单元：实用简便方法, 第 4 单元：税费
第 5 单元：通货膨胀, 第 6 单元：APR 与 EAR, 第 7 单元：期限结构, 第 8 单元：决策制定
第 9 单元：自由现金流, 第 10 单元：预测驱动因素, 第 11 单元：预测自由现金流
第 14 单元：投资回报率, 第 13 单元：敏感性分析, 第 12 单元：决策标准
Course: Compétences Excel pour l’entreprise : les notions clés
Modules:
Semaine 1 - Introduction, Semaine 1 - Discussion, Vidéo de mise en pratique : Prise en main d’Excel, Vidéo de mise en pratique : Navigation et sélection, Vidéo de mise en pratique : Afficher les options, Vidéo de mise en pratique : Saisie de données, types de données, modification et suppression, Vidéo de mise en pratique : Poignée de recopie, Récapitulatif de la semaine 1, Copier et coller, Modèles
Semaine 2 - Introduction, Semaine 2 - Discussion, Vidéo de mise en pratique : Les formules, Vidéo de mise en pratique : Les formules en contexte, Vidéo de mise en pratique : Les fonctions Partie I : SOMME et SOMME AUTOMATIQUE, Vidéo de mise en pratique : Les fonctions Partie II : MOYENNE, MIN et MAX, Discussion : Les références de cellule absolues, Vidéo de mise en pratique : Les références de cellule absolues, Vidéo de mise en pratique : Les calculs sur plusieurs feuilles, Récapitulatif de la semaine 2, Options Excel
Semaine 3 - Introduction, Semaine 3 - Discussion, Mise en forme, Vidéo de mise en pratique : Les bordures, Vidéo de mise en pratique : Outils d'alignement, Vidéo de mise en pratique : Reproduire la mise en forme, Vidéo de mise en pratique : Formats numériques, Vidéo de mise en pratique : Styles et thèmes, Récapitulatif de la semaine 3, Graphiques
Semaine 4 - Introduction, Semaine 4 - Discussion, Vidéo de mise en pratique : Gérer les lignes et les colonnes, Vidéo de mise en pratique : Rechercher et remplacer, Vidéo de mise en pratique : Filtrage, Vidéo de mise en pratique : Tri, Vidéo de mise en pratique : Mise en forme conditionnelle, Récapitulatif de la semaine 4, Accessibilité
Semaine 5 - Introduction, Semaine 5 - Discussion, Vidéo de mise en pratique : Aperçu avant impression, Vidéo de mise en pratique : Orientation, marges et échelle, Vidéo de mise en pratique : Sauts de page, Vidéo de mise en pratique : Imprimer les titres, Vidéo de mise en pratique : En-têtes et pieds de page, Récapitulatif de la semaine 5, Enregistrer les options
Semaine 6 - Introduction, Semaine 6 - Discussion, Vidéo de mise en pratique : Types de graphiques de base : Graphiques à secteurs, à barres et linéaires, Vidéo de mise en pratique : Déplacer et redimensionner les graphiques, Vidéo de mise en pratique : Modifier le style et le type de graphique, Vidéo de mise en pratique : Modifier les éléments du graphique, Récapitulatif de la semaine 6, Partage de graphiques
Cours 1 : Évaluation finale
Course: Economic Growth and Distributive Justice Part I - The Role of the State
Modules:
Course promo, Introduction, 1.1 What is the Policymaker’s Goal?, 1.2 Maximizing Happinness: The case of Bhutan, 1.3 The Experiencing Self vs. the Remembering Self, 1.4 How Can the State Promote its Goal?, 1.5 The Ultimatum Game, 1.6 Financing Public Goods, 1.7 Providing Public Goods, 1.8 Internalizing Externalities, 1.9 Climate Change, Summary
2.1 Defining and Measuring Economic Growth, 2.2 The Intuition of the Economic Growth Model, 2.3 Innovation (technology) as the Key to Economic Growth, 2.4 When Efficiency Promotes Equality, 2.5 When Inequality is Inefficient, 2.6 When Policy is Counter-Intuitive: The Classic Example of Comparative Advantage, 2.7 When there is a  Trade-off Between Efficiency and Equality, 2.8 Using the Leaky Bucket Parable to Explain what is a Social Welfare Function
3.1 Distributive Justice Theories: Libertarianism and Utilitarianism, 3.2 Distributive Justice Theories: Maximin, 3.3 Distributive Justice Theories: Egalitarianism and Weighted Utilitarianism, 3.4 Understanding the Concept of Diminishing Marginal Utility from Consumption, 3.5  Policy Implications of Assuming Diminishing Marginal Utility from Consumption, 3.6 Illustrating Utilitarianism with a Real Life Example: Presenting the example, 3.7 Conventional Analysis of Taxing Damages Paid for Loss of Earnings, 3.8 Conventional Analysis of Taxing Damages for Medical Expenses
4.1 Public Finance Analysis: Choosing the tax rule that would maximize Social Welfare, 4.2 Public Finance Analysis of Taxing Damages for Lost Earnings, 4.3 Public Finance Analysis  of Taxing the Reimbursement of Medical Expenses, 4.4 Public Finance Analysis of Taxing Damages for Pain and Suffering, 4.5 The Policy Process: Summarizing what we've learnt from the Real Life Example, 4.6 Accounting for the Fact that People Live in Families, 4.7 Measuring Income Inequality, 4.8  Defining and Measuring Poverty, Conclusion of Part I
Course: Aplicaciones musicales con Arduino
Modules:
Introducción al curso, Introducción a la electrónica, Resistencias, capacitores, led y generadores de sonido, Microcontroladores, Dispositivos y materiales
Instalación de Arduino, Introducción al lenguaje, Puertos seriales, Protoboard y conexiones, Entradas, Salidas, Ejemplo actividad
Perspectivas, Ideas musicales, Ideas para proyecto final, Despedida
Cómo usar MIDI, Cómo enviar mensajes MIDI desde Arduino, Comunicación con SuperCollider, Comunicación con PureData, Comunicación con Ardour, Ejemplo actividad
Course: Understanding Your Google Cloud Costs 日本語版
Modules:
GCP 請求先アカウントの設定, GCP リソースの整理, 請求先アカウントの管理, 請求アクセス権限の管理, Google Cloud Platform のリソース管理
GCP 費用の追跡と把握, GCP 請求書の把握, 請求レポートによる GCP 費用の確認
課金データのエクスポートとカスタム ダッシュボードの作成
Course: Learn Embeddings and Vector Databases
Modules:
Test your knowledge
Course: GenAI for Everyone
Modules:
Course Introduction, What Is GenAI?, GenAI Today & Tomorrow, The Journey of GenAI, Design and Engineering, The Humanware
AI is already in your daily life, Create Content, Create Presentation, Create Media, Better Safe than Sorry, Prompting GPTs
Is AI taking over?, Inside the brain of GPT, How to train your own dragon?, Using AI responsibly, Can I build something using Gen AI?
How to Create a Chatbot?
Course: International Marketing Entry and Execution
Modules:
Introduction to Specialization, 1.1 Introduction to Course, 1.2 CSI in International Marketing, 1.3 B2C Marketing, 1.4 Interview B2C, 1.5 Targeted Mini VSA, 1.6 Marketing to Bottom of Pyramid
2.1 Market Landing, 2.2 Market Targeting, 2.3 Market Positioning, 2.4 Self Positioning, 2.5 Interview Phil Zerrillo
3.1 Product Marketing, 3.2 Promotion Marketing, 3.3 Place Marketing, 3.4 Price Marketing
4.1 7S Innovation Marketing, 4.2 S1: Social Marketing, 4.3 S2: Small Marketing, 4.4 S3: Simple Marketing, 4.5 S4: Skip Marketing, 4.6 S5: Sports Marketing, 4.7 S6: Screen Marketing, 4.8 S7: Set Marketing, Instructor's Thank You
Course: 1. 基礎知識：データはあらゆるところにある
Modules:
Google データ アナリティクス プロフェッショナル認定プログラムへようこそ, コースの紹介, 日常生活におけるデータ アナリティクス, キャシー：データ分析の様々な側面, データ エコシステムとは, 優れた意思決定のためにデータをどう役立てるか, これからの内容
データ関連スキルの発掘, データ アナリストの主要なスキル, 分析的思考とは, コアとなる分析スキルを探る, データを使って成果を導く, 実世界におけるデータのマジック
データのフェーズとツールについて学ぶ, データ ライフサイクルの各フェーズ, データ分析の 6 フェーズ, モリー: データ処理の例, データ分析ツールの概要
主なデータ関連ツールの詳細, 列と行とセル, SQL の実践, アンジー: 新しいスキルを学ぶためのヒント, データ ビジュアライゼーションのプロになる, ライラ: データ ビジュアライゼーションの力
仕事の話に移る前に, データ アナリストの仕事, ジョーイ: データ アナリストへの道, トニー: データ アナリティクスのキャリアをサポートする, ビジネスにおけるデータの力, レイチェル: データ探偵, データと公平性について理解する, アレックス: 公平で倫理的なデータの判断, さまざまな業界のデータ アナリスト, サマ: 面接のベスト プラクティス, 週のまとめ, おめでとうございます！コースのまとめ
Course: 运营管理概论（中文版）
Modules:
课程安排, 运营绩效的四个维度, 有效边界
第 2 单元班次 1 视频课程, 第 2 单元班次 2 视频课程, 第 2 单元班次 3 视频课程, 第 2 单元班次 4 视频课程, 第 2 单元班次 5 视频课程, 第 2 单元班次 6 视频课程, 第 2 单元班次 7 视频课程, 流程分析复习
第 3 单元班次 1 视频课程, 第 3 单元班次 2 视频课程, 第 3 单元班次 3 视频课程, 第 3 单元班次 4 视频课程, 第 3 单元班次 5 视频课程, 第 3 单元班次 6 视频课程, 第 3 单元班次 7 视频课程, 第 3 单元班次 8 视频课程, 生产率复习
第 4 单元班次 1 视频课程, 第 4 单元班次 2 视频课程, 第 4 单元班次 3 视频课程, 第 4 单元班次 4 视频课程, 第 4 单元班次 5 视频课程, 第 4 单元班次 6 视频课程, 第 4 单元班次 7 视频课程, 第 4 单元复习, 多样性单元班次 1 视频课程, 多样性单元班次 2 视频课程, 多样性单元班次 3 视频课程, 多样性单元班次 4 视频课程, 多样性单元班次 5 视频课程, 多样性单元班次 6 视频课程, 多样性单元班次 7 视频课程, 多样性单元班次 8 视频课程, 多样性单元复习, 响应力单元班次 1 视频课程, 响应力单元班次 2 视频课程, 响应力单元班次 3 视频课程, 响应力单元班次 4 视频课程, 响应力单元班次 5 视频课程, 响应力单元班次 6 视频课程, 响应力单元班次 7 视频课程, 额外单元 复习
Course: إدارة الاجتماعات الفعالة | Managing Effective Meetings
Modules:
أهمية الاجتماعات, كيفية تحويل الاجتماعات إلى اجتماعات فعالة وأهميتها, جلسات إدارة القضايا المرتبطة بالمؤسسة (Issue Management Sessions), جلسات الابتكار (Innovation Session), جلسات حل المشكلات (Problem Solving Sessions), جلسات عملية التخطيط المستمر (Continuous Planning Process Sessions), دور مُيسر الجلسات (Session Facilitator) وأهم سماته ومهاراته, دور رئيس الجلسات (Session Chairman) وأهم سماته ومهاراته, سلم توكمان (Tuckman Ladder) وتطبيقه في الاجتماعات, زورق/ قارب الاجتماعات (Meeting Canoe), عوامل أساسية لضمان التميُز في إدارة الاجتماع
Course: Amazon Bedrock - Getting Started with Generative AI
Modules:
Amazon Bedrock - Getting Started
Course: Fundamentals of Management
Modules:
1.1 Managers and Leaders: What's the Difference?, 1.2 The Manager's Role, 1.3 Organizational Behavior, 1.4 Lean, 1.5 The Nine Wastes, 1.6 Change and Transition, 1.7 Behavior Change, 1.8 Facilitating Change, 1.9 Common Reactions to Change
2.1 Essential Skills for Today's Manager, 2.2 Management Functions, 2.3 The Fundamental Business Model
3.1 Organizational Planning, 3.2 Goal Setting, 3.3 The Planning Process, 3.4 Planning Tools
4.1 More Functions of Management, 4.2 Leadership Styles, 4.3 Control Process, 4.4 Networking
Course: مهارة مخاطبة الجمهور | Public Speaking Skills
Modules:
المقصود بمخاطبة الجمهور وأهميتها, المصداقية (Credibility) والإيجاز (Briefing), الوضوح (Clarity), الثقة بالنفس (Self Confidence) والقدرة على الإقناع (Persuasion Skills), أناقة المظهر, أنواع الرسائل والخطابات, خطوات تحضير الخطابات, أهم العوامل التي يجب مراعاتها من قبل الخطباء, عناصر عملية التواصل - الجزء الأول, عناصر عملية التواصل - الجزء الثاني, الدروس المستفادة - الجزء الأول, الدروس المستفادة - الجزء الثاني, الدروس المستفادة - الجزء الثالث, الخلاصة
Course: Art & Inquiry: Museum Teaching Strategies For Your Classroom
Modules:
Welcome to Art and Inquiry, Why Engage in Inquiry Around Art?
Mindful Drawing, Close Looking with Art, Why use open-ended questions?
Art as a Tool for Social Emotional Learning (SEL), Introduction to Learning with MoMA Lessons, Lesson on Self-Awareness: Rirkrit Tiravanija, Lesson on Self-Awareness: Carrie Mae Weems, Shambhavi and Social Awareness, Charles White and Social Awareness, Lesson on Community: Frida Kahlo, Lesson on Community: Helen Levitt, Adapting Non-SEL Lessons
Artist's Process | Preparatory Drawings, Artist's Process: Weaving, Artist's Process: Designing & Re-Designing Everyday Objects
Ruth Asawa and Social Studies, Ruth Asawa and English Language Arts, Ruth Asawa and Science
Course: Foundations of Strategy
Modules:
Welcome to Foundations of Strategy, What is Strategy?, Rent, Monopoly vs. Perfect Competition, Moving Away From Perfect Competition: Strategies at Industry Level (Part 1), Moving Away From Perfect Competition: Strategies at Industry Level (Part 2)
Introduction to Competitive Advantage: The External Perspective, Five Forces, Economies of Scale: The Basic Logic, Economies of Scale: Minimum Efficient Scale
Introduction to Competitive Advantage: The Internal Perspective, Industry Evolution, Learning Curve, The Resource-Based View, Resource Position Barriers to Entry, Walmart: A Study in Strategy
Putting It All Together: The Holistic View, What is Competitive Advantage?, Wrapping Up Basic Logic: The Pendulum Swing Between External and Internal Analysis, The Implications of Scale and Learning Curves: The Tesla Example, Congratulations on Completing This MOOC!
Course: Divide and Conquer, Sorting and Searching, and Randomized Algorithms
Modules:
Why Study Algorithms?, Integer Multiplication, Karatsuba Multiplication, About the Course, Merge Sort: Motivation and Example, Merge Sort: Pseudocode, Merge Sort: Analysis, Guiding Principles for Analysis of Algorithms, The Gist, Big-Oh Notation, Basic Examples, Big Omega and Theta, Additional Examples [Review - Optional]
O(n log n) Algorithm for Counting Inversions I, O(n log n) Algorithm for Counting Inversions II, Strassen's Subcubic Matrix Multiplication Algorithm, O(n log n) Algorithm for Closest Pair I [Advanced - Optional], O(n log n) Algorithm for Closest Pair II [Advanced - Optional], Motivation, Formal Statement, Examples, Proof I, Interpretation of the 3 Cases, Proof II
Quicksort: Overview, Partitioning Around a Pivot, Correctness of Quicksort [Review - Optional], Choosing a Good Pivot, Analysis I: A Decomposition Principle, Analysis II: The Key Insight, Analysis III: Final Calculations, Probability Review I, Probability Review II
Randomized Selection - Algorithm, Randomized Selection -  Analysis, Deterministic Selection - Algorithm [Advanced - Optional], Deterministic Selection - Analysis I [Advanced - Optional], Deterministic Selection - Analysis II [Advanced - Optional], Omega(n log n) Lower Bound for Comparison-Based Sorting [Advanced - Optional], Graphs and Minimum Cuts, Graph Representations, Random Contraction Algorithm, Analysis of Contraction Algorithm, Counting Minimum Cuts
Course: Mathematical Foundations for Cryptography
Modules:
Course Introduction, Divisibility, Primes, GCD, Modular Arithmetic, Multiplicative Inverses, Extended Euclidean Algorithm
Square-and-Multiply, Euler's Totient Theorem, Eulers Totient Function, Discrete Logarithms
CRT Concepts, Integer-to-CRT Conversions, Moduli Restrictions, CRT-to-Integer Conversions, CRT Capabilities and Limitations
Trial Division, Fermat's Primality, Miller-Rabin
Course: Business Chinese 1 中级汉语 （上）
Modules:
Introduction to the course 课程简介, Video and lecture: 我要办一张交通卡(第一部分）, Video and Lecture: 我要办一张交通卡（第二部分）, 讨论 Discussion--有用的卡 Useful cards
Video and lecture: 需要我去机场接你吗 (第一部分）, Video and lecture: 需要我去机场接你吗 (第二部分）, Discussion 讨论课 需要我去机场接你吗
Video and lecture: 坐大巴是在这里等吗 （第一部分）, Video and lecture: 坐大巴是在这里等吗（第二部分）, Discussion 讨论课 地铁，公交车和机场线
Video and lecture 你们怎么来的 （第一部分）, Video and lecture: 你们怎么来的（第二部分）, Discussion 讨论课 你们怎么来的
Video and lecture 我预定了一个单人间（第一部分）, Video and lecture: 我预定了一个单人间（第二部分）, Discussion 讨论课 订酒店房间
Course: Blueprint Scripting
Modules:
Introduction, Blueprint interface, Blueprints as designer tools, Strengths and limitations of Blueprints, Reading nodes, Components, Relationship between Blueprints and C++, Functions and variables, Variable types, Inheritance, Logic and flow control, Making a door, Timelines, Moving the door, Locking and unlocking, Event dispatchers, Construction script, Infinite loops, Timers, Challenge Intro: Door Direction
Traces, Trace types, Trace channel, Object traces, Single and multi traces, Hit results, Interfaces, Inputs, Print string, Overlaps, Casting, Trigger class, Button trigger, Lever trigger, Challenge Intro: Elevator
Character class, Player controller, Crouching, Control rotation, Camera and spring arm, Switching cameras, Enhanced input actions, Triggers and modifiers
Data assets, Inventory component, Picking up items, Using items, Enums, Widget, Place item trigger
Course: Incident Response, BC, and DR Concepts
Modules:
Course Introduction
Incident Response
Business Continuity (BC), The Goal of Business Continuity
Disaster Recovery (DR), Disaster Recovery in Action
Incident Response, Business Continuity, and Disaster Recovery Review, Incident Response, Business Continuity, and Disaster Recovery Quiz
Course: Infonomics II: Business Information Management and Measurement
Modules:
Course Overview, Meet Instructor Doug Laney, Learn on Your Terms
1-1 Applied Ecosystem Concepts, 1-2 Applied Sustainability Concepts, 1-3 Information Supply Chain (And Networks?), 1-4 Information Asset Activity Primitives, 1-5 Information Maturity Model, Traditional Asset Management Approaches Part 1, Traditional Asset Management Approaches Part 2, 1-7 Generally Accepted Information Principles, Interview with Andrew White, Interview with Mark Beyer (Supplemental)
2-1 Why Measure and Value Information?, 2-2 Dimensions of Data Quality, 2-3 Introduction to Information Valuation Approaches, 2-4 Foundational Valuation Models for Information Assets, 2-5 Financial Valuation Models for Information Assets, 2-6 Juxtaposing and Combining Valuation Models, 2-7 Information on the Balance Sheet?, Interview with James Price
3-1 Key Legal Concerns and Questions about Information, 3-2 Data Ownership and the Law, 3-3 The Asset Properties of Information, 3-4 Owning the Usage of Information, 3-5 The Ownership of Personal Information, 3-6 Internal Information Owners
4-1 Fresh Hot Roles for the Info-Savvy Organization, 4-2 Emerging Roles for Monetizing Information, 4-3 Emerging Roles for Managing Information as an Asset, 4-4 Emerging Roles for Measuring Information as an Asset, 4-4 Infonomics Course Wrap-Up
Course: The Data Scientist’s Toolbox
Modules:
Why Automated Videos?, What is Data Science?, What is Data?, Getting Help, The Data Science Process
Installing R, Installing R Studio, RStudio Tour, R Packages, Projects in R
Version Control, Github and Git, Linking Github and R Studio, Projects under Version Control
R Markdown, Types of Data Science Questions, Experimental Design, Big Data
Course: استراتيجيات تمركز المنتج | Product Positioning Strategies
Modules:
الـوضع المكاني للمنتج (Product Positioning), عناصر الـ (Product Positioning & Differentiation) - الجزء الأول, عناصر الـ (Product Positioning & Differentiation) - الجزء الثاني, أهمية ال(Branding & Brand Management Strategies), العلامة التجارية (Brand Equity), التزامات العلامة التجارية (Brand Liabilities), مفاهيم الـ (Brand & Product Line Strategies) - الجزء الأول, مفاهيم الـ (Brand & Product Line Strategies) - الجزء الثاني, الخاتمة
Course: Investigación de mercados y comportamiento del consumidor
Modules:
1.1 ¿Por qué es importante el comportamiento de los consumidores en el marco de trabajo del proceso de marketing?, 1.2 La perspectiva sobre las actitudes de los consumidores, 1.3 La continuidad del proceso de reflexión de los consumidores, 1.4 Capacidad de procesamiento limitada y métodos de decisión simplificados, 1.5 Marcos y fijación de precios de referencia y perfil de riesgo, 1.6 Contabilidad mental y aplicaciones, 1.7 La continuidad del comportamiento de la decisión de compra
2.1 Reconocimiento de una necesidad y búsqueda informativa, 2.2 Evaluación de alternativas, compra y post-compra, 2.3 Evaluación posterior a compra, 2.4 Procesamiento de información y saturación y atención: sensación de inesperado y relevancia personal, 2.5 Percepción, 2.6 Actitud: modelo de probabilidad de elaboración, 2.7 Comparativas de situaciones de compra y marco de la cuadrícula de compra, 2.8 Análisis de proveedores y la importancia de la fijación de precios, Copy of 2.7 Comparativas de situaciones de compra y marco de la cuadrícula de compra
3.1 La importancia del estudio de mercado y su rol en la gestión de marketing, 3.2 Los pasos hacia la realización del estudio de mercado, 3.3 Estudio exploratorio, descriptivo y causal – Parte I, 3.4 Estudio exploratorio, descriptivo y causal – Part II, 3.5 Tipos de experimentación, 3.6 Efectos externos sobre el estudio experimental I, 3.7 Efectos externos sobre el estudio experimental II, 3.8 Validez y fiabilidad, 3.9 Tipos de diseños experimentales, 3.10 Diseño estadístico, 3.11 Marketing de prueba
4.1 Datos primarios I, 4.2 Datos primarios II, 4.3 Datos secundarios y escalas de medición, 4.4 Diseño de cuestionario, 4.5 Mediciones psicológicas: medición de actitudes y escalas, 4.6  Definición de muestreo y tamaño, 4.7 Planes de muestreo y muestras probabilísticas: muestreo al azar simple, 4.8 Muestras probabilísticas: muestreo estratificado y de tipo clúster, 4.9 Datos categóricos, datos de métricas y pruebas de hipótesis, 4.10 Tabulación de sentido único y de doble sentido: pruebas chi cuadrado, 4.11 Análisis de clústeres, de factores, discriminante y de correspondencia, 4.12 Análisis de correlación, 4.13 Análisis de regresión, 4.14 Análisis de los resultados de regresión, Trailer: Posicionamiento: La base de éxito en la estrategia de marketing.
Course: Gemini for Application Developers - Français
Modules:
Présentation de Gemini pour les développeurs d'applications, Développer une application avec l'aide de Gemini, Déployer Node.js avec Gemini
Course: Population Health: Syndemics
Modules:
Welcome to Syndemics, How to succeed in your online class?
Introduction, Syndemics in context, What is a syndemic?, Themes in syndemic research, To conclude
Introduction, Health indicators, Clustering of health conditions, Interaction of health conditions, To conclude
Introduction, Introduction to qualitative research I, Introduction to qualitative research II, Flexibility, Focus on detail and context, Looking for contradictions, How many cases is enough, Visions on Interviewing, Typologies of interviews, Rapport in interviewing, Qualitative approaches in Syndemics, To conclude
Introduction, Core mixed-method designs, Design a mixed-method research, To conclude, Last words from the team