dipopotamus/custom_instruct_coursera_course_module_list huggingface dataset:
Course: Marketing Channel Functions
Modules:
Channel Functions Pt. 1, Channel Functions Pt. 2, Channel Functions Pt. 3, Channel Functions Pt. 4
The CEMEX Case Pt. 1, CEMEX Case Analysis Pt. 1, CEMEX Case Analysis Pt. 2, CEMEX Case Analysis Pt. 3, CEMEX Case Analysis Pt. 4, CEMEX Case Analysis Pt. 5, CEMEX Case Analysis Pt. 6, The CEMEX Case Pt. 2, CEMEX Example Slides
Channel Alignment and Optimal Offering - Pt. 1, Channel Alignment and The Optimal Offering - Pt. 2, Channel Alignment and The Optimal Offering - Pt. 3
Course: Deep Learning for Object Detection
Modules:
Deep Learning for Computer Vision, Deep Learning for Object Detection, Introduction to Object Detection with CNNs, Using Pre-trained Object Detectors
Overview of Training Object Detection Models, Labeling your Images, Analyzing Your Labeled Data, Peforming Transfer Learning with Object Detection Models
Evaluating Object Detection Models, Addressing Common Issues in Detection
Introduction to the Final Project, Summary of Deep Learning for Object Detection
Course: Systems and Application Security
Modules:
Systems and Application Security, Malicious Code and Activity: Key Concepts, Malicious Code and Activity: Malicious Code Countermeasures, Malicious Code and Activity: Software Exploitation Methods, Malicious Code and Activity: Software Exploitation Methods, Malicious Code and Activity: Code Signing, Malicious Code and Activity: Social Engineering, Malicious Code and Activity: Security Awareness Training, Malicious Code and Activity: Long File Extensions, Malicious Code and Activity: E-mail, Malicious Code and Activity: Countermeasures, Malicious Code and Activity: Examples of Spoofing, Malicious Code and Activity: Techniques, Malicious Code and Activity: Botnet-Led Exploits, Malicious Code and Activity: Malicious Web Activity, Malicious Code and Activity: Zero-Day Exploits, Malicious Code and Activity: Infected Factory Builds and Media, Malicious Code and Activity: Inspection of Processes
Endpoint Device Security: HIDS, Endpoint Device Security: Trusted Platform Module (TPM), Endpoint Device Security: BYOD Policy Considerations
Cloud Security: Five Essential Characteristics of Clouds, Cloud Security: Hybrid, Cloud Security: Virtualization, Cloud Security: Hypervisor, Cloud Security: Country-Specific Legal Considerations, Cloud Security: P&DP Laws, Cloud Security:Application of Defined Controls for Personally Identifiable Information (PII), Cloud Security: Data Dispersion, Cloud Security: Threat to Storage Types, Cloud Security: Technologies to Address Threats, Cloud Security: DLP Architecture, Cloud Security: Review Activity, Cloud Security: Key Storage in the Cloud, Cloud Security: Common Approaches for Data Masking, Cloud Security: Data Retention Policies, Cloud Security: Disposal Options
Secure Big data Systems: Big Data, Secure Big Data Systems: Interpreting Big Data, Secure Big data Systems: Key Challenges, Operate and Secure Virtual Environments: SDN, Operate and Secure Virtual Environments: Virtual Appliances, Operate and Secure Virtual Environments: DRS, Operate and Secure Virtual Environments: Common Attacks, Operate and Secure Virtual Environments: Network Security, Operate and Secure Virtual Environments: Virtual Machine Security
Systems and Applications Case Study
Final Quiz
Course: Digital Media and Marketing Principles
Modules:
Course Introduction, Learn on Your Terms, Marketing as Communication Part 1, Marketing as Communication Part 2, Media Revolution Part 1, Media Revolution Part 2, Understanding Marketing Media, The Marketing Funnel, Dual Product Model of Commercial Marketing Media, Interview with Jan Slater: Rethinking Digital vs. Traditional Media
Key Features of Digital Communication, Impacts of Digital Technologies on Information Dissemination, Impacts of Digital Technologies on Persuasion Part 1, Impacts of Digital Technologies on Persuasion Part 2, Impact of Digital Technologies on Branding, Content Marketing Strategy, Context Marketing Strategy, Interview with Jan Slater: What is a Brand?, Interview with Jan Slater: Brand Messaging and Digital Consumers, Interview with Jan Slater: Telling Brand Stories on Multiple Channels
Discovering and Targeting the Right Audience in World of Digital Media, Programmatic Advertising Part 1, Programmatic Advertising Part 2, Search Marketing, Social Media Marketing Part 1, Social Media Marketing Part 2, Marketing Attribution, Real Time Bidding, Interview with Jeff Green: A Business Case for Open Market Programmatic Advertising, Interview with David Pickles: The Nuts and Bolts of Programmatic Advertising, Interview with Jeff Green: Programmatic as a Unifier not as a Disrupter to Digital Marketing, Interview with David Pickles: Preparing Your Business for the Age of Programmatic Advertising, Interview with Jeff Green and David Pickles: Privacy and Data Security, Interview with Jeff Green and David Pickles: The Future of Programmatic and Data-Driven Marketing
Mobile Marketing Part 1, Mobile Marketing Part 2, Mobile Marketing Part 3, Beyond the Screens, Location-based Marketing, Conversational Marketing, Interview with Jan Slater: Stay Ahead the Curve by Being Agile
Course: 创新思维
Modules:
1.1什么是创新, 1.2 这门课对我有帮助吗, 1.3 课程内容, 1.4世界需要你, 1.5创新与发展, 1.6成功始于创新, 1.7创新的趋势, 1.8世界会越来越好吗, 1.9选择的重要性, 1.10做个异类, 1.11 成功的人生都是独特的, 1.12 创新意识
2.1 需求是创新之源, 2.2 社会发展趋势分析, 2.3 创新五字诀之省时, 2.4 创新五字决之省钱, 2.5 创新五字诀之爽, 2.6 教学创新中的省时省钱爽, 2.7 如何发现需求, 2.8 管理者的创新修炼, 2.9 优秀产品的特点, 2.10 你的眼里有活吗, 2.11 第一性原理与选题
3.1 方法总比问题多, 3.2 解决问题的策略, 3.3 解决问题的策略之借鉴, 3.4 解决问题的策略之转化, 3.5 你为什么还没有好的想法, 3.6 如何快速了解一个领域, 3.7 提出问题与解决问题
4.1 思考问题的框架, 4.2 头脑风暴的基本原则, 4.3 头脑风暴的形式, 4.4  头脑风暴的组织与实施, 4.5 一个人的头脑风暴怎么做, 4.6 发散思维与思考的维度, 4.7 六顶思考帽, 4.8 如何进入深度思考的状态, 4.9 课程小结
Course: Administración para obtener resultados
Modules:
Bienvenida, Principios de la estrategia organizacional
Establecimiento de objetivos y diseño de estrategias
Establecimiento y alienación de indicadores
Como mantener la calidad y la mejora continua en la empresa
Course: Climate Change in Water and Sanitation Utilities
Modules:
0.1.1 Important Course Information, 0.1.2 Meet Your Instructors
1.1.2 Greenhouse Effect and Climate Change, 1.1.5 What is Meant by a Water Crisis?
2.1.1 Low-Carbon Urban Water Utility, 2.1.8  Recap of the 5 Steps
3.2.2 ECAM Tool
4.1.2 Mitigation, Adaptation and Resilience, 4.1.3 The IPCC Risk Concept, 4.1.4 Actions to Reduce the Risk, 4.1.5  Methodologies for Climate Risk Assessment, 4.1.6 Disaster and Climate Change Risk Assessment Methodology for IDB Projects, 4.1.8 AquaRating and Focused Analisys, 4.2.2 Step 2 - Identify Hazards, Vulnerable System Elements, Exposure and Define Critical Thresholds, 4.2.3  Step 3 - Apply Climate Projections and Develop Future Scenarios, 4.3.2 Request Your Digital Badge!, 4.3.3 Module Conclusion
Course: More Chinese for Beginners
Modules:
Welcome To 'More Chinese For Beginners', Pleased to meet you., Long time no see., They are both teachers., May I have your phone number, please?
I’m working., When are you going to get off the work?, Do you have time on Saturday?, What are you doing?
Do you like spicy food?, Coffee or tea?, I eat a lot!, This is much better than that.
What can we do?, You can’t buy anymore!, May I exchange?, Be quiet, please.
I feel headache!, You should go to the hospital., I think riding bike is better for your healthy., I go running every day.
How about your holiday?, What’s your plan for the coming weekend?, Have you been to Beijing?, If you like cities, then go to the east.
Course: Tools for Data Science
Modules:
Course Introduction, Categories of Data Science Tools, Open Source Tools for Data Science  - Part 1, Open Source Tools for Data Science  - Part 2, Commercial Tools for Data Science, Cloud Based Tools for Data Science
Languages of Data Science, Introduction to Python, Introduction to R Language, Introduction to SQL, Other Languages for Data Science
Libraries for Data Science, Application Programming Interfaces (APIs), Data Sets - Powering Data Science, Sharing Enterprise Data  - Data Asset eXchange, Machine Learning Models – Learning from Models to Make Predictions, The Model Asset eXchange
Introduction to Jupyter Notebooks, Getting Started with Jupyter, Jupyter Kernels, Jupyter Architecture, Additional Anaconda Jupyter Environments, Additional Cloud Based Jupyter Environments
Introduction to R and RStudio, Plotting in RStudio, Overview of Git/GitHub, Introduction to GitHub, GitHub Repositories, GitHub - Getting Started, GitHub - Working with Branches
Final Exam
Introduction to Watson Studio, Optional: Creating an account on IBM Watson Studio, Jupyter Notebooks in Watson Studio - Part 1, Jupyter Notebooks in Watson Studio - Part 2, Linking GitHub to Watson Studio
Course: Introducción a la Producción y Apreciación musical
Modules:
Bienvenido a tu curso., ¿Cómo juzgar una canción?, ¿Por qué es importante escuchar con detenimiento?, Primer paso: Concepto artístico., Segundo paso: Selección de canciones., Tercer paso: Pre producción., Cuarto paso: Arreglo musical., Quinto paso: Grabación., Sexto paso: Edición., Séptimo paso: Mezcla., Octavo paso: Mastering.
Canción buena, Canción exitosa
Identificación de la estructura de una canción., Identificación del coro en una canción., Identificación de sección instrumental., Análisis de la estructura de una canción.
Instrumentos utilizados para un arreglo musical., Instrumentos más usados en géneros musicales., Identificación de las partes de una canción.
Proceso de mejora del sonido., Proceso de ecualización., Efectos Reverb y Delay., Versión final de la canción.
Cierre
Course: Crédito y cobranza
Modules:
Bienvenida, Historia y antecedentes del crédito, ¿Qué es el crédito?, Función del crédito como proceso administrativo, Clasificación del crédito
¿Cómo se integra el departamento de crédito y cobranza?, Estructura interna del departamento de crédito y cobranza, Relación con otros departamentos
¿Qué es una política de crédito?, Clasificación de las políticas de crédito, ¿Por qué son importantes las políticas de crédito?, Políticas de crédito liberal y conservadora
Las 5 C’s del crédito. Carácter, Capacidad, Capital, Colateral y condiciones, Calificación, Resumen, Amortizaciones, Ejercicio con amortizaciones
¿Qué es la cobranza y  cuáles son sus objetivos?, ¿En qué consisten las políticas de cobranza?, Despedida
Bonus. Entrevista con Actinver
Course: Understanding Cloud Spanner
Modules:
Introduction
What is Spanner?, History, Use Cases
Coursera: Getting Started with Google Cloud Platform and Qwiklabs
Spanner Architecture, Choosing Primary Keys, Defining Database Schemas
Authentication and Authorization, Using the Language APIs, Running Queries, Managing Transactions
Using Spanner from Applications, Building Data Pipelines
Administering Spanner Instances, Managing Data, Managing Change, Operations
Course: Robotics: Mobility
Modules:
0.0.0 What you will learn in this course, 1.0.0 What you will learn this week, 1.1.1 Why and how do animals move?, 1.1.2 Bioinspiration, 1.1.3 Legged Mobility: dynamic motion and the management of energy, 1.2.1 Review LTI Mechanical Dynamical Systems, 1.2.2 Introduce Nonlinear Mechanical Dynamical Systems: the dissipative pendulum in gravity, 1.2.3 Linearization & Normal Forms
2.0.0 What you will learn this week, 2.1.1 Walking like a rimless wheel, 2.1.2 Running like a spring-loaded pendulum, 2.1.3 Controlling the spring-loaded inverted pendulum, 2.2.1 Metrics and Scaling: mass, length, strength, 2.2.2 Materials, manufacturing, and assembly, 2.2.3 Design: figures of merit, robustness, 2.3.1 Actuator technologies
3.0.0 What you will learn this week, 3.1.1 Review of kinematics, 3.1.2 Introduction to dynamics and control, 3.2.1 Sprawled posture runners, 3.2.2 Quadrupeds, 3.2.3 Bipeds
4.0.0 What you will learn this week, 4.1.1 Sequential and Parallel Composition, 4.2.1 Why is parallel hard?, (SUPPLEMENTARY) 4.2.2 SLIP as a parallel vertical hopper and rimless wheel, 4.2.3a RHex: A Simple & Highly Mobile Biologically Inspired Hexapod Runner, (SUPPLEMENTARY) 4.2.3b Clocked RHex gaits, 4.3.1 Compositions of vertical hoppers, 4.3.2 Same composition, different bodies, 4.3.3 Same body, different compositions, 4.3.4 Transitions: RHex, Jerboa, and Minitaur leaping
Course: Administração Financeira
Modules:
Apresentação do Curso
Introdução à Administração Financeira, Demonstrativos Financeiros: Um Novo Idioma, Visão Geral dos Demonstrativos Financeiros, Balanço Patrimonial (BP), Diferença entre Resultado e Fluxo de Caixa, Demonstrativo de Resultados do Exercício (DRE), Demonstrativo de Fluxo de Caixa (DFC), Demonstrativo de Resultados do Exercício (DRE) versus Demonstrativo de Fluxos de Caixa (DFC), Resumo dos Tipos de Demonstrativos Financeiros, Como os Demonstrativos Financeiros são produzidos, Introdução à Administração Financeira: Fechamento do Módulo
Introdução à Análise de Demonstrativos Financeiros, Porque analisar Demonstrativos Financeiros, Análises Vertical e Horizontal: Visão Geral, Análise Vertical, Análise Horizontal, Análise DuPont, Indicadores Financeiros: Visão Geral, Indicadores Financeiros de Rentabilidade: Gestão de Ativos ou de Giro, Indicadores Financeiros de Rentabilidade: Lucratividade, Indicadores Financeiros de Risco: Gestão de Liquidez ou Solvência, Indicadores Financeiros de Valor de Mercado, Indicadores Financeiros - Exercício Resolvido, Inferindo a saúde financeira de uma empresa, Inferindo a saúde financeira de uma empresa - Exercício Resolvido, Análise de Demonstrativos Financeiros: Fechamento do Módulo
Introdução ao Valor do Dinheiro no Tempo, Valor Presente, Taxa de Juros e Riscos, Taxas de Juros Simples e Compostos, Cálculo de Prazos e Taxas, Valor Presente Líquido de Investimentos, Valor Presente Líquido de Financiamentos, Prestações e Tabela Price, Conversão de Taxas Conforme Prazos, Valor do Dinheiro no Tempo: Fechamento do Módulo
Introdução às Decisões de Curto Prazo, Classificação de Custos, Custos e Fluxos de Caixa Incrementais, Cálculo do Ponto de Equilíbro, Decisões de Curto Prazo, Decisões de Curto Prazo: Fechamento do Módulo
Decisões de Longo Prazo, O que considerar para indicar a viabilidade de um projeto?, Analisando a viabilidade de um projeto real, Como analisar se o projeto deve ser realizado?, Decidindo a viabilidade de um projeto usando TIR, Decidindo quais projetos realizar usando payback, Fechamento do Módulo
Fechamento do Curso
Course: Introduction to Data Analytics
Modules:
Course Introduction, Modern Data Ecosystem, Key Players in the Data Ecosystem, Defining Data Analysis, Viewpoints: What is Data Analytics?, Responsibilities of a Data Analyst, Viewpoints: Qualities and Skills to be a Data Analyst, A Day in the Life of a Data Analyst, Viewpoints: Applications of Data Analytics
Overview of the Data Analyst Ecosystem, Types of Data, Understanding Different Types of File Formats, Sources of Data, Languages for Data Professionals, Overview of Data Repositories, RDBMS, NoSQL, Data Marts, Data Lakes, ETL, and Data Pipelines, Foundations of Big Data, Big Data Processing Tools
Identifying Data for Analysis, Data Sources, How to Gather and Import Data, What is Data Wrangling?, Tools for Data Wrangling, Data Cleaning, Viewpoints: Data Preparation and Reliability
Overview of Statistical Analysis, What is Data Mining?, Tools for Data Mining, Overview of Communicating and Sharing Data Analysis Findings, Viewpoints: Storytelling in Data Analysis, Introduction to Data Visualization, Introduction to Visualization and Dashboarding Software, Viewpoints: Visualization Tools
Career Opportunities in Data Analysis, Viewpoints: Get into Data Profession, Viewpoints: What do Employers look for in a Data Analyst?, The Many Paths to Data Analysis, Viewpoints: Career Options for Data Professionals, Viewpoints: Advice for aspiring Data Analysts, Viewpoints: Women in Data Professions, Generative AI for Data Analytics
Course: Introduction to Environmental Law and Policy
Modules:
1.1 Lecture Video, 1.1 One Minute Lawyer, 1.2 Lecture Video, 1.2 One Minute Lawyer, 1.3 Lecture Video, 1.3 One Minute Lawyer, 1.4 Lecture Video
2.1 Lecture Video, 2.1 One Minute Lawyer, 2.2 Lecture Video, 2.2 One Minute Lawyer, 2.3 Lecture Video, 2.3 One Minute Lawyer, 2.4 Lecture Video
3.1 Lecture Video, 3.1 One Minute Lawyer, 3.2 Lecture Video, 3.2 One Minute Lawyer, 3.3 Lecture Video, 3.3 One Minute Lawyer, 3.4 Lecture Video
4.1 Lecture Video, 4.1 One Minute Lawyer, 4.2 Lecture Video, 4.2 One Minute Lawyer, 4.3 Lecture Video, 4.3 One Minute Lawyer, 4.4 Lecture Video
5.1 Lecture Video, 5.1 One Minute Lawyer, 5.2 Lecture Video, 5.2 One Minute Lawyer, 5.3 Lecture Video, 5.3 One Minute Lawyer, 5.4 Lecture Video
6.1 Lecture Video, 6.1 One Minute Lawyer, 6.2 Lecture Video, 6.2 One Minute Lawyer, 6.3  Lecture Video, 6.3 One Minute Lawyer, 6.4 Lecture Video
Instructions, Questions, Legal Databases
Course: Principais Elementos do Sucesso do Cliente
Modules:
As 10 Leis do Sucesso do Cliente, Relacionamento, Métricas, Valor, Jornada do Cliente, Tornar-se Relevante
Venda ao Cliente Certo, A Tendência Natural é se Afastar, Um Compromisso de Toda a Empresa, Não é sobre as Pessoas, Compreenda ou Sofra, Estudo de Caso: Gainsight
Monitore e Gerencie a Saúde do Cliente, Compreenda Profundamente as Métricas do Cliente, Impulsione o Sucesso do Cliente com Métricas, A Voz do Cliente, Medidas de Sucesso, Estudo de Caso: Spotify
Os Clientes Esperam que Você os Torne Bem-Sucedidos, O Produto é seu Diferencial Escalável, Melhore o Tempo para o Valor, O Fim da RFP, Estudo de Caso: Vivo, Conclusões
Course: Introducción a la Robótica e Industria 4.0
Modules:
Bienvenido, Políticas y lineamientos de calificación, Políticas de Coursera
Presentación, Contexto histórico, La Nube, Internet de las Cosas, Impresión 3D, Robótica Avanzada, Geolocalización, Ciberseguridad, Tipos de robots, Robótica virtual, Bots
Introducción, Conocer los elementos físicos, Comprender el funcionamiento de los sensores, Procesamiento de señales digitales, Concebir - Genérico, Plasmar - Genérico, Materializar-Genérico, Materializar-Caso Específico, Beneficiar
Introducción, Programación de un robot físico, Entorno de programación, Algoritmos, Programas de acción-reacción: interacción física, Programas de acción-reacción: interacción con interfaz digital
Introducción, Chatbots, Crawlers, Bots transaccionales, Informational bots, Entertainment bots: Art bots, Game bots, Robo de identidad (Impersonators), Hackers, Spammers, Scrapers, Ética de los datos
Aplicaciones marítimas, Manejo de bolsa de trabajo, Inteligencia artificial para pronóstico y análisis de tendencias médicas, Transporte y logística, Robótica para el servicio público, Robótica para inmersión de datos provenientes de yacimientos petroleros, Robótica para inmersión de datos provenientes de yacimientos petroleros - parte 2, Big data para petróleo
Conclusión
Encuesta, Muchas felicidades
Course: Competitive Strategy and Organization Design Project
Modules:
Trailer Competitive Strategy and Organization Design Project, Introduction to the industry project
Inspiration for your research, Some words on our expectations, Learn more about KONUX, Get a feeling for what's going on in the industry!
How to analyze and present quantitative and qualitative data, Some additional information on sensor-based predictive machinery maintenance, Example Analysis
How to interpret findings and relate them to theory, Example Synthesis Part
How to write a good report, How should your final report look like
How to review your peers' work, Congratulations and goodbye
Course: Risks to Crop Production in Agriculture
Modules:
Course Overview, Meet Your Instructor | Dr. Nicholas D. Paulson, Meet Your Instructor | Dr. Gary D. Schnitkey, Meet Your Instructor | Dr. Bruce Sherrick, Meet Your Instructor | Paul B. Stoddard, Meet Your Instructor | Ailie Elmore, Meet Your Instructor | Dr. Joana Colussi, Module 1 Introduction, What is a Crop?, Common Production Practices: Part 1, Common Production Practices: Part 2, Permanent Crops, Growing Season, Harvesting, Post-Harvest, Panel Discussion: Crop Production Cycle, Module 1 Summary
Module 2 Introduction, What is a Farm?, Overview of the Structure of Agricultural Land, Organization of Farms, Capital Intensity of Agriculture, Timing of Agricultural Cash Flows, The Volatility of Input vs. Output Prices, Transfer of Agricultural Land, Panel Discussion: Financial Characteristics and Risks in Agriculture, Module Summary
Module 3 Introduction, Ownership of Agricultural Land, Forms of Ownership, Rental Agreements, Land Sustainability Concerns, Panel Discussion: Land Tenure, Module Summary
Module 4 Introduction, Off-Farm Employment and Health Insurance, Agricultural Policy, Global Trade Flows, Energy Use: Prices and Availability, Geopolitical and Unilateral Issues, Legal, Livestock Production Risks, Panel Discussion: Other Factors Influencing Risk and Decision-Making in Agriculture, Module Summary, Course Wrap-up, Risk and Decision-Making in Agriculture  | Graduate Certificate Course
Course: Build AI Apps with LangChain.js
Modules:
Test your knowledge
Course: Vivre avec le TDAH à travers les âges
Modules:
Bande-annonce du MOOC, Bienvenue dans ce MOOC, Introduction au Module 1, Qu'est-ce que le TDAH ?, Les domaines symptomatiques du TDAH, TDAH: jalons historiques, Considérations sur l'évaluation clinique du TDAH, Expression des symptômes dans l'enfance, Témoignage - le TDAH dans l'enfance, Expression des symptômes à l'adolescence, Témoignage - le TDAH dans l'adolescence, Expression des symptômes chez l'adulte et la personne âgée, Témoignage - le TDAH chez la personne adulte, Conclusion du Module 1
Introduction au Module 2, Cibles d’interventions, Les guidelines du TDAH, Guidelines et interventions chez l'enfant et l'adolescent, Guidelines et interventions chez l'adulte, Les comorbidités du TDAH, Diagnostic différentiel – avec quoi ne pas confondre le TDAH ?, Conclusion du Module 2
Introduction au module 3, Introduction aux interventions biologiques :  les psychostimulants comme aide au changement, False beliefs sur la médication, Les bases neurobiologiques du TDAH, Les différentes catégories de médicament dans le TDAH - Les stimulants, Les différentes catégories de médicament dans le TDAH - Les non-stimulants, Comment fonctionnent les médicaments ? - Les stimulants, Comment fonctionnent les médicaments ? - Les non-stimulants, Les données en faveur de l'efficacité des médicaments dans le TDAH, Quels sont les impacts positifs de la médication et comment évalue-t-on l’efficacité du traitement ?, Les effets secondaires, Comment introduire un psychostimulant, Réponse préférentielle et personnalisation du traitement médicamenteux, Les effets à éviter, Quand ça ne fonctionne pas, Vers de nouvelles interventions non-médicamenteuses, Neurostimulation, Les compléments alimentaires, Conclusion du module 3
Introduction au module 4, Qu'est-ce qu'une intervention psychologique ?, Coup de projecteur les fonctions exécutives, L'importance des interventions psychologiques, Psychoéducation, Interventions de groupe pour les parents de jeunes enfants, Les interventions groupales chez l’adulte, Les interventions individuelles, Les approches psychothérapeutiques - la régulation émotionnelle, Accompagner et intervenir sur les difficultés interpersonnelles, Intégration: interventions multimodales, Conclusion du Module 4
Introduction au module 5, Apprentissage et généralisation des compétences, Que faire pour entraîner le contrôle inhibiteur, Que faire pour entraîner les compétences attentionnelles ?, La question des addictions, Addiction aux écrans?, Que faire pour entraîner les aspects interpersonnels ?, Conclusion du Module 5
Introduction au Module 6, L'aménagement de l’environnement et son importance dans le TDAH, Les aménagements scolaires avec Velia Decoro - partie 1, Les aménagements scolaires avec Velia Decoro - partie 2, Les aménagements professionnels, Les aménagements dans l’environnement familial et conjugal avec Dresse K. Auberjonois, Être le parent d’un enfant avec un TDAH, Être le thérapeute d’un·e patient·e avec TDAH, Conclusion du Module 6, Conclusion du MOOC
Course: Easing the burden of obesity, diabetes and cardiovascular disease
Modules:
Module 1 Introduction, Understanding NCDs, How can a multidisciplinary approach solve complex societal problems?, Solutions, Module 1 Summary
Module 2 Introduction, Cardiovascular disease, Secondary prevention of cardiovascular disease, Chronic Obstructive Pulmonary Disease, Diabetes Part 1, Diabetes Part 2, Obesity, Cancer, Module 2 Summary
Module 3 Introduction, Physical activity, Diet, Tobacco, Alcohol, Sleep apnoea, Oral health, Module 3 Summary
Module 4 Introduction, Our biology, Our food supply, Corporate interest, Corporate interests and nutrition, Our domestic environment, Module 4 Summary
Module 5 Introduction, A discussion: Solutions, What is one solution?, Nutrition systems, Precision Medicine
MOOC conclusion
Course: Helping Families Avoid Negative Court Involvement Teach-Out
Modules:
What is Preventative Law?
Introduction, Self-Advocacy, Interview with A Dating Couple about Self-Advocating in Real Life, Interview with Newlyweds about Self-Advocating in Real Life, Communication, Interview with A Dating Couple about Communicating in Real Life, Interview with Newlyweds about Communicating in Real Life, Planning, Interview with A Dating Couple about Planning in Real Life, Resources, Interview with A Dating Couple about Leveraging Resources in Real Life, Interview with Newlyweds about Planning in Real Life and Leveraging Resources in Real Life
Applying Preventative Law to Family Law: Anticipatory Planning
Course: Business Sustainability in the Circular Economy
Modules:
Course introduction
Reverse logistics, The problems of reverse logistics, Growing green legislation
Bottom of the pyramid, Course summary
Course: How to Write a Resume (Project-Centered Course)
Modules:
Video Lecture: Introduction
Video Lecture: Module 2
Video Lecture 3: Creating Content
Video Lecture 4: Piecing it all Together
Video Lecture 5: Know your Industry
Video Lecture 6: Interview with an Employer
Video Lecture 7: Frequently Asked Questions
Course: Research for Impact
Modules:
Welcome to the course, Bringing about change, Climate change and complex systems, Wicked problems and adaptation research, What is Research for Impact?, Elements of Research for Impact, Why researchers use Research for Impact, Case study: India - Adaptation along the rural-urban continuum - Chandni Singh, Case study: Botswana - Climate change adaptation: Perceptions vs. reality - Hillary Masundire, Case study: India - How vulnerability and climate change impacts migration from the deltas - Sumana Banerjee
Introduction to Week 2, Social change and complexity, Planning for change with a complexity lens, Impact pathways in Research for Impact, Understanding the system you want to influence, Choosing your strategies, Observing, reflecting and adjusting, Case study: Ethiopia - Mitigating the effects of Prosopis Juliflora - Mark Tebboth, Case study: Ethiopia - Mitigating the effects of Prosopis Juliflora -  Alemayehu Zewdie, In conversation with Marta
Introduction to Week 3, Strategic partnerships, Why should I work with stakeholders?, Who are my stakeholders anyway?, Principles of stakeholder engagement, Stakeholder engagement methodologies, Power and politics in climate change research and action, Case study: Ghana Using Transformative Scenario Planning to identify community problems and collaboratively develop solutions - Prince Ansah, Case study: Botswana - Using Transformative Scenario planning and Vulnerability Risk Assessments to include community knowledge in policymaking - Chandapiwa Molefe, Researchers share their practical challenges in using the Research for Impact approach, In conversation with Daniel
Introduction to Week 4, Why strategic communications?, Strategic communications and the Research for Impact elements, Planning for effective research communication - Part I, Planning for effective research communication - Part II, Planning for effective research communication - Part III, Knowledge systems, management, analysis and brokers, Case study: Ghana - Strategic communications for impact - Kwasi Appeaning Addo, In conversation with Prathigna
Introduction to week 5, Why do we need capacity development?, Developing researchers' capacities, Developing others' capacities, Different types and aspects of capacity development - part 1, Different types and aspects of capacity development - part 2, How to develop capacities, Dealing with challenges, Case Study India - Developing Stakeholder Capacity through games and 3D models - Renie Thomas, In conversation with Edmond and Amadou
Introduction to Week 6, What is Power and Influence, Influence in Research for Impact, Who Are We Trying To Influence?, How to build an influencing strategy, Linking the elements in an influencing strategy, Case Study: Ghana - Diversifying capacity development activities to influence diverse stakeholder groups - Adiku Prosper Yaw, Researchers share their practical tips for using the Research for Impact approach, Course wrap-up and reflections
Course: Finance for Startups
Modules:
CF1-1 Introduction & Balance Sheet, CF1-2 Left Side of a Balance Sheet, CF1-3 Right Side of a Balance Sheet, CF1-4 Construction of a Balance Sheet, CF1-5 What is an Income Statement, CF1-6 Cost, Expenses & Inventories, CF1-7 Profits & Depreciation, CF1-8 Construction of an Income Statement
CF2-1 Cash Flow, CF2-2 Cash Flow Statement Practice, CF2-3 Annual Report, CF2-4 Financial Ratios-Profitability, CF2-5 Financial Ratios-Efficiency, CF2-6 Financial Ratios-Liquidity & Leverage, CF2-7 Financial Ratios Practice
CF3-1 Financial Planning-Cash Flow Statement, CF3-2 Financial Planning-Balance Sheet, CF3-3 Financial Planning-Income Statement, CF3-4 Burn Rate, CF3-5 Seed Funding, CF3-6 Venture Capital Fund, CF3-7 Advice on VC Fundraising, CF3-8 Funding Practice
CF4-1 VC Term Sheet, CF4-2 Share Price, CF4-3 Liquidation Preference, CF4-4 Term Sheet-Control Terms, CF4-5 Term Sheet Practice, CF4-6 Three Core Things in Valuation, CF4-7 Valuation Methods, CF4-8 Valuation Practice
Course: 系统平台与C#程序基础
Modules:
专项课程介绍, 第1讲 第一门课程介绍, 第2讲 计算机系统_1, 计算机系统_2, 计算机系统_3, 第3讲计算机与二进制, 第4讲 字符表示与编码, 第5讲计算机中的数制, 第6讲 二进制的表示与运算_1, 二进制数的表示与运算_2, 二进制数的表示与运算_3, 本周课程小结, OFFICE基本课程指导_1, OFFICE基本操作指导_2, OFFICE基本操作指导_3
第7讲基本逻辑运算和逻辑门, 第8讲其它逻辑运算及其门电路, 第9讲 触发器与加法器_1, 触发器与加法器_2, 第10讲 由逻辑门到运算器__系统构造过程, 第11讲指令和程序, 第12讲 冯.诺依曼结构_1, 冯.诺依曼结构_2, 第13讲 什么是操作系统, 第14讲 处理器管理, 第15讲 存储器管理, 第16讲 微型机中的存储器系统, 本周课程小结
关于程序设计, 对象技术, 感性认识C#, 快步走进C#, 控制台输入输出, 什么样的程序是好程序, 下载、安装Visual Studio2013, 在Visual Studio下创建控制台程序
变量与数据类型, 运算符与表达式, 创建类和对象, 什么是程序结构, 分支程序, 循环程序_1, 循环程序_2, 课程结束语
Course: 현대 로봇공학, 강좌 6: 캡스톤 프로젝트, 모바일 매니퓰레이션
Modules:
캡스톤 프로젝트 소개: 모바일 매니퓰레이션, 캡스톤 프로젝트 요약 영상, (추가 검토) 전방향 바퀴형 모바일 로봇 (챕터 13.2, 파트 1/2), (추가 검토) 전방향 바퀴형 모바일 로봇 (챕터 13.2, 파트 2/2), (추가 검토) 주행기록계 (챕터 13.4)
마일스톤 2:  기준 궤적 생성, (추가 검토) 점대점 궤적 (챕터 9.1 및 9.2, 파트 1/2), (추가 검토) 점대점 궤적 (챕터 9.1 및 9.2, 파트 1/2)
(추가 검토) 엔드 이펙터 좌표계에서의 지수곱 공식 (챕터 4.1.2), (추가 검토) 동체 야코비 (챕터 5.1.2), (추가 검토) 속도 입력값을 가지는 운동 제어 (챕터 11.3, 파트 3/3), (추가 검토) 모바일 매니퓰레이션 (챕터 13.5)
프로젝트 완료 및 제출
Course: 2. データに基づいた意思決定を行うための問いかけ
Modules:
課題解決と効果的な問いかけについて, データの活用, ニッキー：データ処理の仕組み, データアナリストがよく直面する課題のタイプについて, 実際のビジネス上の課題とは, アンモル： 仮説を成果に, SMART フレームワークについて, エヴァン：データの世界における役割
データと意思決定, データが意思決定に及ぼす力とは, 定性データと定量データ, 成果を共有する秘訣, データと測定指標, 数学的思考
表計算ソフトの素晴らしさ, 表計算ソフトを使いこなす, 表計算ソフトの手順, 成功への方程式, 表計算ソフトのエラーと修正, 関数入門, 課題解決の前に、まずは課題を理解する, 作業範囲（SOW）と構造化思考, 客観的な視点を持つ
チームとコミュニケーションをとる, チーム全体のニーズと期待値のバランスをとる, 重要なことに集中するために, カギとなる明確なコミュニケーション, 効果的なコミュニケーションのためのヒント, 期待値とプロジェクトの実現可能性のバランス, サラ：ステークホルダーとのコミュニケーションの取り方, データのジレンマ：スピードと正確さ, プロセスと成果を考える, ミーティングでのベストプラクティス, ヒメナ：新しいチームに参加する心得, 対立から協力へ, ネイサン：アメリカ海兵隊からデータの世界へ, コースのまとめ, おめでとうございます！
Course: Identifying Security Vulnerabilities in C/C++Programming
Modules:
Course Introduction, Module 1 Introduction, Users and Privileges Overview, Identifying Users and Changing Privileges, Spawning Subprocesses, Identifying Users Incorrectly, Establishing Users and Setting UIDs, Establishing Groups and GIDs, Establishing Privileges for Users and Groups, How Root Privileges Work, Lesson 1 Summary, Environment Variables Overview, Programming Explicitly, Addressing Various Attacks, Dynamic Loading and Associated Attacks, Programming Implicitly, The Moral of the Story
Module 2 Introduction, Validation and Verification Overview, Metacharacters, The Heartbleed Bug and Other Exploits, Inputs, Fixes, Lesson 3 Summary, Buffer Overflows Overview, Buffer Overflow Examples, Selective Buffer Overflow and Utilizing Canaries, Numeric Overflows Overview, Numeric Overflow Examples, Lesson 4 Summary, Input Injections Overview, Cross-Site Scripting Attacks, SQL Injections, Lesson 5 Summary
Module 3 Introduction, Files and Subprocesses Overview, Creating a Child Process, Subprocess Environment, Files and Subprocesses Design Tips, Lesson 6 Summary, Race Conditions Overview, A Classic Race Condition Example, Time of Check to Time of Use, Programming Condition, Environmental Condition, Race Conditions, Linux Locks and FreeBSD System Calls
Module 4 Introduction, Randomness and Cryptography Overview, Pseudorandom vs. Random, Producing Random Numbers, Sowing Seeds, Cryptography Basics, Using Cryptography for Secrecy and Integrity, Some Cryptography Examples, Lesson 8 Summary, Handling Sensitive Information and Errors and Formatting Strings Overview, All About Passwords, Adding a Pinch of Salt, Managing Sensitive Data, Practice a Secure Function, Error Handling Part 1, Error Handling Part 2, Format Strings, Lesson 9 Summary, Course Summary
Course: William Shakespeare's Romeo & Juliet: An Actor's Perspective
Modules:
Welcome to Perspectives from the Stage: Actors Discuss Romeo and Juliet!, Team Capulet, Team Montague, Other Players, Introduction to Act 1, Interviews with Actors: Act 1, Scene 1, Interviews with Actors: Act 1, Scene 2, Interviews with Actors: Act 1, Scene 3, Interviews with Actors: Act 1, Scene 4, Interviews with Actors: Act 1, Scene 5
Introduction to Act 2, Interviews with Actors: Act 2, Scene 1, Interviews with Actors: Act 2, Scene 2, Interviews with Actors: Act 2, Scene 3, Interviews with Actors: Act 2, Scene 4, Interviews with Actors: Act 2, Scene 5, Interviews with Actors: Act 2, Scene 6
Introduction to Act 3, Interviews with Actors: Act 3, Scene 1, Interviews with Actors: Perspectives on Intermission, Interviews with Actors: Act 3, Scene 2, Interviews with Actors: Act 3, Scene 3, Interviews with Actors: Act 3, Scene 4, Interviews with Actors: Act 3, Scene 5
Introduction to Act 4, Interviews with Actors: Act 4, Scene 1, Interviews with Actors: Act 4, Scene 2, Interviews with Actors: Act 4, Scene 3, Interviews with Actors: Act 4, Scene 4, Interviews with Actors: Act 4, Scene 5
Introduction to Act 5, Interviews with Actors: Act 5, Scene 1, Interviews with Actors: Act 5, Scene 2, Interviews with Actors: Act 5, Scene 3 (part 1), Interviews with Actors: Act 5, Scene 3 (part 2), Final Thoughts, Extras
Course: Gemini in Google Slides - Português Brasileiro
Modules:
Introdução ao Gemini no Google Slides, Gerar uma imagem com o Gemini, Escolher um estilo para suas imagens, Explicação da atividade
Course: 一堂課讓你認識肺癌（Basic Concepts of Lung Cancer: Diagnosis and Treatment）
Modules:
肺癌為什麼可怕？, 肺癌是如何形成的？, 如何預防及面對肺癌的發生？, 肺癌的檢測方法與趨勢。
認識肺癌的分期, 認識肺癌的治療
自費 vs 健保：治療效果有差別嗎？, 老師對於健康食品、自然療法的看法？, 肺癌能不能透過肺臟移植進行治療？, 肺癌有可能像肝癌一樣，發展出預防性疫苗嗎？, 怎樣的人需要去做肺癌篩檢？時機為何？
為何要做「低劑量電腦斷層掃描」？在哪裡做比較好？, 對於比較後期的癌症腫瘤，手術切除對病患是否有益？, 學生訪談：對於肺癌治療的未來展望, 罹癌仍然樂當志工-談罹癌後的轉變, 罹癌仍然樂當志工-談免疫療法治療過程, 罹癌仍然樂當志工-談罹癌心理調適
Course: 머신 러닝 자세히 알아보기: 기술적 팁, 요령, 그리고 함정
Modules:
강좌 개요: 머신 러닝 자세히 알아보기, p-해킹: 위험천만한 함정, p-해킹: 예측적 인사이트는 가짜일 수 있다, p-해킹: 신뢰할 수 있는 발견을 보장하는 방법, 과적합 방지하기: 학습 데이터와 시험 데이터의 분리, 아이스크림과 상어의 공격이 연관성을 가지는 이유, 인과관계는 흥밋거리, 예측은 해야할 일, 귀납법의 기술: 데이터를 통한 일반화가 어려운 이유, 실수에서 배움을 얻기: 부정적 사례가 중요한 이유, 실습 평가 소개 (Excel 또는 Google Sheets)
의사결정 나무 다시 살펴보기, 완전 끝내주는 사업 규칙과 의사결정 나무, 의사결정 나무 가지치기를 통한 과적합 방지, 데모: 의사결정 나무 모델 비교 (선택 사항), 의사결정 나무의 이익 곡선 그리기, 의사결정 나무의 이윤 곡선 그리기, 나이브 베이즈, 선형 모델과 퍼셉트론, 선형 파트 II: 2차원에서의 퍼셉트론, '예/아니오' 출력값보다 확률로 더 나은 의사결정을 내릴 수 있는 이유, 로지스틱 회귀, 데모: 로지스틱 회귀 모델 학습 (선택 사항)
신경망의 작동 원리, 신경망: 의사결정 경계 및 로지스틱 회귀와의 비교, 데모: 신경망 모델 학습하기 (선택 사항), 딥 러닝, 앙상블 모델과 Netflix Prize, 빠르고 강력한 예측: 앙상블 및 일반화 역설, 데모: 앙상블 모델 학습 (선택 사항), 데모: 머신 러닝 모델 자동 튜닝하기 (선택 사항), 비교 및 대조: 머신 러닝 기법 요약, 머신 러닝 소프트웨어: 툴 선택 시 지켜야할 규칙, 머신 러닝 소프트웨어: 툴의 다양성과 선택 방법, 모델 배포: 소프트웨어 툴을 넘어 실전으로, 업리프트 모델링 I: 영향력을 최적화하고 숫자로 설득하기, 업리프트 모델링 II: 실험군 및 대조군에 대한 모델링, 업리프트 모델링 III: 작동 원리 (은행 및 Obama 사례), 업리프트 모델링 IV: 이탈 모델링 및 기타 응용 분야
머신 러닝 편향 I: 불공정 모델의 난제, 머신 러닝 편향 II: 모델이 불공정한 이유 시각화, 머신 러닝 편향 III: 공정성은 인종을 차별하지 않는다, 설명가능한 머신 러닝, 모델 투명성, 그리고 설명을 요구할 권리, 머신 러닝 윤리에 대한 결론: 사회적 행동주의의 한 형태로서 기준 정립하기, 함정: 머신 러닝의 7대 죄악, 결론 및 배움을 지속하기
Course: Vulnerabilidades y pruebas de penetración
Modules:
Introducción al curso, Introducción al Módulo 1, Vulnerabilidades, amenazas y riesgos, Video Tutorial: Ataque MiM, Metodología para la realización de pruebas de penetración
Introducción al Módulo 2, Analizando el entorno: Fases 2 y 3 Metodología PTest, Identificando las vulnerabilidades de los sistemas
Introducción al módulo 3, Ataque a los sistemas paso 1, Ataque a los sistemas paso 2
Introducción al módulo 4, Atacando a los servidores web, 10 riesgos de seguridad más críticos en las aplicaciones web, Cierre del curso
Course: Mide el desempeño de tu equipo de trabajo
Modules:
Bienvenida, Métricas de productividad, Métricas de valor, Métricas de sustentabilidad
Course: Spanish Vocabulary: Careers and Social Events
Modules:
Course Introduction, Module Introduction, Introduction to Vocabulario, Introduction to Gramática, Formal and Informal Commands Part 1, Formal and Informal Commands Part 2, Formal and Informal Commands Part 3, Making Requests, Suggestions, Invitations, and Refusals Using the Subjunctive Part 1, Making Requests, Suggestions, Invitations, and Refusals Using the Subjunctive Part 2, Lexical Expressions Related to Going Out in Public, Perspectivas Introduction: El Restaurante, Perspectivas: El Restaurante, Perspectivas Summary: El Restaurante, Module Summary
Module Introduction, Introduction to Vocabulario, Introduction to Gramática, Talking About Things Wished For: The Subjunctive with Adjective Clauses, Talking About Expected or Wished For Events: The Subjunctive with Adverbial Clauses, Talking About Hopes, Fears and Doubts with the Subjunctive, Making Comments and Expressing Opinions with the Subjunctive, Perspectivas Introduction: La Tienda, Perspectivas: La Tienda, Perspectivas Summary: La Tienda, Module Summary
Module Introduction, Introduction to Vocabulario, Introduction to Gramática, Talking About Probable Events Using the Future Part 1, Talking About Probable Events Using the Future Part 2, Talking About Hypothetical Events Using the Conditional, Three Ways to Talk About the World: Experiences, Highly Probable Events, Non-Experiences, Making Polite Requests with the Conditional, Perspectivas Introduction: Las Profesiones, Perspectivas: Las Profesiones, Perspectivas Summary: Las Profesiones, Module Summary, Course Summary
Course: Managing Change when Moving to Google Cloud en Español
Modules:
Introducción al curso, Por qué las organizaciones migran a la nube, Los desafíos de migrar a la nube, La administración del cambio, El recorrido de maduración para la nube, La evolución de la narrativa centrada en el factor humano, Cinco rutas de cambio comunes en la nube, La metodología de administración de cambios de Google Cloud
Course: Symmetric Cryptography
Modules:
Instructor Introduction, Module Objectives, Alphabet, Substitution and Caesar Cipher, Modulo Operation, Monoalphabetic Cipher, Natural Language Redundancy, Polyalphabetic Cipher and Vigenere Cipher
Module Objectives, Rail Fence Cipher, Permutation Cipher, Permutation Cipher Security, Product Cipher
Modern Cipher and Module Objectives, Block Cipher vs. Stream Cipher, Ideal Block Cipher, Feistel Cipher, DES Overview, DES Round Function, DES Subkey Generation, DES Security
Module Ojectives, Double-DES and Meet-in-the-Middle Attack, Triple DES, Advanced Encryption Standard (AES)
Module Objectives, Electronic Codebook (ECB), Cipher Block Chaining (CBC), Cipher Feedback (CFB), Output Feedback (OFB), Counter (CTR)
Course: Modern Robotics, Course 4:  Robot Motion Planning and Control
Modules:
Overview of Motion Planning (Chapter 10.1), C-Space Obstacles (Chapter 10.2.1), Graphs and Trees (Chapter 10.2.3), Graph Search (Chapter 10.2.4), Complete Path Planners (Chapter 10.3)
Grid Methods for Motion Planning (Chapter 10.4), Sampling Methods for Motion Planning (Chapter 10.5, Part 1 of 2), Sampling Methods for Motion Planning (Chapter 10.5, Part 2 of 2), Virtual Potential Fields (Chapter 10.6), Nonlinear Optimization (Chapter 10.7)
Control System Overview (Chapter 11.1), Error Response (Chapter 11.2.1), Linear Error Dynamics (Chapter 11.2.2), First-Order Error Dynamics (Chapter 11.2.2.1), Second-Order Error Dynamics (Chapter 11.2.2.2), Motion Control with Velocity Inputs (Chapter 11.3, Part 1 of 3), Motion Control with Velocity Inputs (Chapter 11.3, Part 2 of 3), Motion Control with Velocity Inputs (Chapter 11.3, Part 3 of 3)
Motion Control with Torque or Force Inputs (Chapter 11.4, Part 1 of 3), Motion Control with Torque or Force Inputs (Chapter 11.4, Part 2 of 3), Motion Control with Torque or Force Inputs (Chapter 11.4, Part 3 of 3), Force Control (Chapter 11.5), Hybrid Motion-Force Control (Chapter 11.6)
Course: Fundamentals of Fluid-Solid Interactions
Modules:
Course teaser, Welcome to the course, 1.1 Coupling fluid and solid mechanics, 1.2 The tool of dimensional analysis, 1.3 Dimensionless numbers, 1.4 Dimensional analysis of the interactions, 1.5 Coupled equations for fluids and solids, 1.6 Dimensionless coupled equations, 1.7 Research report : poroelasticity
2.1 Small reduced velocities, 2.2 Adapted dimensionless numbers, 2.3 Small motion of the solid, 2.4 Added stiffness, 2.5 Added mass, 2.6 Computing the added mass, 2.7 Research report: elastocapillarity
3.1 Added damping, 3.2 Memory effect, Experiments : added mass and added damping, 3.3 Sloshing, 3.4 Coupling with sloshing, Experiments : eggs and bottles
4.1 Aeroelasticity approximation, 4.2 Flow-induced  static instability, 4.3 Flow-induced dynamic instability, 4.4 Coupled-mode flutter of an airfoil, Experiments : coupled-mode flutter, Research report: foliage dynamics
5.1 Pseudo-static aeroelasticity approximation, 5.2 Flow-induced dynamic instability, 5.3 Stall flutter of an airfoil, 5.4 Drag and lift galloping of a bluff body, Experiments : Galloping and stall flutter
6.1 The garden hose instability, 6.2 The fluid-conveying pendulum, 6.3 A model for all  fluid velocities, 6.4 The fluid-conveying bi-pendulum, Experiments : Fluid-conveying pipes, 6.5 Vortex-induced vibrations, 6.6 Lock-in, Research report : Energy harvesting, A case of wind engineering  (in French with  English subtitles), Final video
Course: إنشاء تطبيق قابل للتوسع باستخدام AWS EKS عبر AWS Console
Modules:
EKS Cluster  المهمة الأولي: إنشاء المكونات التي يحتاجها الـ, Cloudshell وتوصيله بالـ EKS Cluster المهمة الثانية: إنشاء الـ, الخاص بها IAM Role والـ  Node Group المهمة الثالثة: إنشاء الـ, المهمة الرابعة: نشاط تطبيقي, Node Group الخاص بالـ  Cluster-AutoScaler المهمة الخامسة: إنشاء الـ, واختباره EKS Cluster المهمة السادسة: إضافة التطبيق إلى الـ, المهمة السابعة: تحدي مُجمع
Course: Tableau for Data Visualization and Analysis
Modules:
What Is Tableau?, Datatypes and File Types, Connecting Data, Data Model and Relationship, and Joins, Data Blending, DEMO: Live vs. Extract Refreshes, DEMO: Joining And Blending, Filters in Tableau, Set in Tableau, DEMO: Order of Executing Filters, Calculations, Rank Functions, Expressions, DEMO: Level of Detail of Expressions
Parameters, Parameter: Use cases, DEMO: Creation of Parameters, Charts and Graphs, Default Chart Types, Mark Shelfs, Additional Charts, Word Cloud, Sort, and Stack Bar Chart, DEMO: Chart Types, DEMO: Additional Two Chart Types, Mapping, DEMO: Creating Maps, Forecast, DEMO: Forecasting, Analytics Pane
Dashboard, Tiled and Floating Mode, Objects, Story Point, DEMO: Creating Dashboards with the Usage of Objects and Buttons, Actions, Navigation, DEMO: Action Type, Integration of 3rd Party Systems, DEMO: Integration of R with Tableau, Working of Code Integration, Tableau Problem Statement, Tableau Solution Output
Course: Algorithmic Thinking (Part 2)
Modules:
What is Algorithmic Thinking?, The sorting problem, A simple quadratic algorithm, Illustrating MergeSort, The recurrence for MergeSort, The Master Theorem and MergeSort efficiency, Linear vs. binary search, Efficiency of binary search, Class structure (from part 1), Coding styles and standards  -  PoC, Testing and machine grading  -  PoC, Plotting data  - PoC, Peer assessment - "We want a shrubbery!"  - IIPP
Project #3 Description, Tests and Tips for Implementing the Clustering Methods, Application #3 Description, Application #3 Solution
The RNA secondary structure problem, A dynamic programming algorithm, Illustrating the DP algorithm, Running time of the DP algorithm, DP vs. recursive implementation, Global pairwise sequence alignment, Local pairwise sequence alignment
Class wrap-up
Course: Computer Vision: Face Recognition Quick Starter in Python
Modules:
Course Introduction and Table of Contents, Introduction to Face Recognition
Environment Setup: Using Anaconda Package
Python Basics - Assignment, Python Basics - Flow Control, Python Basics - Data Structures, Python Basics - Functions
Setting Up Environment - Additional Dependencies - Part 1, Setting Up Environment - Additional Dependencies - Part 2, DLib Error: Downgrading Python and Fixing
Introduction to Face Detectors
Face Detection Implementation Part 1, Face Detection Implementation
Optional: cv2.imshow() Not Responding Issue Fix
Real-Time Face Detection - Part 1, Real-Time Face Detection - Part 2
Video Face Detection
Real-Time Face Detection - Face Blurring
Real-Time Facial Expression Detection - Installing Libraries
Real-Time Facial Expression Detection - Implementation Part 1, Real-time Facial Expression Detection - Implementation Part 2
Video Facial Expression Detection
Image Facial Expression Detection
Real-Time Age and Gender Classification
Real-Time Age and Gender Detection Implementation
Image Age and Gender Detection Implementation
Introduction to Face Recognition
Face Recognition Implementation - Part 1, Face Recognition Implementation - Part 2
Real-Time Face Recognition - Part 1, Face Recognition Implementation - Part 2
Video Face Recognition
Face Distance - Part 1, Face Distance - Part 2
Face Landmarks Visualization - Part 1, Face Landmarks Visualization - Part 2
Multi Face Landmarks, Multi Face Landmarks from a Real-Time and Pre-Saved Video
Face Makeup Using Face Landmarks
Real-Time Face Makeup
Course: Transformer Models and BERT Model - Español
Modules:
Modelos de transformadores y modelo BERT: Descripción general, Modelos de transformadores y modelo BERT: Explicación del lab
Course: Spanish Vocabulary Project
Modules:
Capstone Course Overview, Gender and Number Agreement, Subject Pronouns, Direct Object Pronouns, Passive Voice and Impersonal Subjects, Time Expression with the Present Tense, Useful Expressions
Milestone 1 Overview, Making Requests, Suggestions, Invitations, and Refusals Using the Subjunctive, Part 1, Making Requests, Suggestions, Invitations, and Refusals Using the Subjunctive, Part 2, Making Requests, Suggestions, Invitations, and Refusals Using the Subjunctive, Part 3, Expressions for Physical Sensations, Forming Questions, Making Requests Politely, Making Polite Requests with the Conditional, Reflexive Pronouns to Express Daily Routines
Milestone 1: Introduce Yourself to Your Host Family (Final Draft)
Milestone 2 Overview, Adverbs that Go Together with Past Events, The Preterite Tense, The Contrast Between the Imperfect and the Preterite Tenses, Two Ways of Expressing Events from the Recent Past
Culture and History of Your Selected Nation (Final Draft)
Module 3 Overview, Talking About Expected or Wished For Events: The Subjunctive with Adverbial Clauses, Talking About Probable Events: Using the Future, Part 1, Talking About Probable Events: Using the Future, Part 2, Talking Hypothetical Events Using the Conditional
Milestone 3: Your Trip Plan (Final Draft)
Module 4 Overview, Course and Specialization Summary