dipopotamus/custom_instruct_coursera_course_module_list huggingface dataset:
Course: Psychology of Popularity
Modules:
Introduction to Popularity, Is Popularity in Our DNA?, How Popularity Affects Us Thousands of Times a Day, Do You Have a Hostile Attribution Bias?, Do You Have a Rejection Sensitivity Bias?
Who Can Accurately Tell You About a Child’s Popularity?, Asking Peers About Children’s Popularity, What are the 5 Categories of “Sociometric Popularity”?, Does Popularity Change When Moving to a New Context?, A New Form of Popularity in Adolescence?
What Social Behaviors Make People Popular so Quickly?, Other Social Behaviors That Make People Popular, What Forms of Aggression are Related to Popularity and Rejection?, What Functions of Aggression are Related to Popularity and Rejection?
Why is Facial Attractiveness so Strongly Related to Popularity Among Youth?, Body Attractiveness and Popularity, Can Smart Kids be Popular?, How Did Your Parents Determine How Popular You Were?
How Do We Study the Effects of Popularity on Later Outcomes?, How Does Popularity Predict Delinquency?, Different Types of Rejected Children, Why Do Rejected-Aggressive Children Have so Many Difficulties?, How Does Popularity Predict Internalizing Symptoms?, How Does Depression Predict Peer Rejection?
How is Popularity Related Health Risk Behaviors?, Let’s Talk About Sex (and Babies)!, Popular Teens are Not as Risky as we Thought?, How Does Popularity Predict Long-Term Adult Outcomes?, Closing Video
Course: Software Processes and Agile Practices
Modules:
Specialization Preview, Introduction to Software Processes and Agile Practices, 2.1.1: Processes and Practices, 2.1.1A: Processes and Practices, 2.1.1B: Processes and Practices, 2.1.2: Software Engineering Activities, 2.1.2A: Software Engineering Activities, 2.1.2B: Software Engineering Activities
2.2.1: Linear Models, 2.2.2: Spiral Model, 2.2.3: Unified Process, 2.2.4: Prototyping, 2.2.5: Continuous Delivery
2.3.1: Using Agile With Process Models, 2.3.2: Extreme Programming, 2.3.2B: Extreme Programming, 2.3.3: Scrum
2.4.1: Agile Variations and Lean Software Development, 2.4.1A: Agile Variations and Lean Software Development, 2.4.1B: Agile Variations and Lean Software Development, 2.4.1C: Agile Variations and Lean Software Development, 2.4.2: Kanban
Course: Planificación del proyecto: reunir todos los elementos
Modules:
Introducción al curso 3, Los beneficios de la planificación de proyectos, Lanzamiento de la fase de planificación, Facilitar una reunión inicial del proyecto, Comprender las tareas y los hitos, La importancia de establecer hitos, Cómo establecer hitos, Crear una estructura de desglose del trabajo, Cierre, Clennita: Cómo lograr que la planificación cree un sentido de equipo
Introducción: Construir un plan de proyecto, Componentes de un plan de proyecto, Hacer estimaciones de tiempo realistas, Planificación de capacidades y ruta crítica, Obtener estimaciones de tiempo precisas de tu equipo, Angel: El valor de las destrezas interpersonales en la estimación de tiempo, Elaborar un cronograma del proyecto, Mejores prácticas del plan de proyecto, Haz un cierre
Introducción: Gestionar presupuestos y compras, La importancia de definir un presupuesto, Componentes clave del presupuesto de un proyecto, Crear el presupuesto de un proyecto, Mantener el presupuesto de un proyecto, Comprender las adquisiciones, El proceso de adquisición, Documentación común de adquisiciones, Crear una declaración de trabajo, Obtener apoyo para las compras, Ética en el proceso de compras, Cierre
Introducción: Gestión eficaz de riesgos, La importancia de la gestión de riesgos, Palabras de Stanton: Gestión de mi primer proyecto, Herramientas para ayudar a identificar los riesgos, Tipos de riesgo, Estrategias de mitigación de riesgos, Creación de un plan de gestión de riesgos, Comunicar riesgos a los interesados, Aji: Gestión de riesgos en Google, Cierre
Introducción: Organizar la comunicación y la documentación, Por qué la comunicación es fundamental, Iniciar un plan de comunicación, Desarrollar un plan de comunicación, El valor de la documentación del proyecto, Organización de la documentación del proyecto, Chris: Organizar artefactos para una entrevista de trabajo, Documentar la experiencia en un currículum, Dan: la importancia de la documentación del proyecto, Resumen del curso
Course: Flight mechanics - The basis
Modules:
Airplane components, Flight controls, Airplane geometry
Attitude and speed, Newton's second law/Newton's law, Concept of Energy and Total path flight angle
Forces applying on an airplane, Load factor, Load factor experimentation flight, Lift and propulsion equation, Climb and descent
Introduction, Instructions for answering to math expression questions
Course: Foundations of Teaching for Learning: Planning for Teaching and Learning
Modules:
Introduction to Course 5, Lecture 1: Introduction to mindsets for Teaching and Learning, Lecture 2: Moral Purpose, Mindset and Hard Goals, Lecture 3: Learning Models, Lecture 4: Inquiry and Professional Learning Designs, Copy of Lecture 1: Introduction to mindsets for Teaching and Learning
Lecture 1: Weaving the Ways: Wise, Strong and New, Lecture 2: Learning Principles, Lecture 3: Assessment for Learning, Lecture 4: A Focus on Feedback, Interview 1
Lecture 1: Social and Emotional Connections, Lecture 2: Learners Owning Their Own Learning, Lecture 3:  Key Questions in Action, Lecture 4: Taking and Inquiry Stance in Planning for Teaching and Learning
Lecture 1: Spirals of Inquiry: An Introduction, Lecture 2: Spirals of Inquiry: Scanning and Focussing, Lecture 3: Spirals of Inquiry: Developing a Hunch and New Professional Learning, Lecture 4: Spirals of Inquiry: Taking Action and Checking, Interview two
Lecture 1: Teacher Professional Learning: Professional Learning is Core Business, Lecture 2: A Focus on Learner Needs and Highly Engaging Adult Learning, Lecture 3: Adult Learning is Frequent and Focused, Lecture 4: 'Open to Learning' Conversations are a Way of Life
Lecture 1: Innovative Learning Environments, Lecture 2: Innovative Learning Environments - Case Studies for Consideration, Lecture 3: Grit and Perseverance - for Learners and Teachers, Lecture 4: Mindsets, Trust, Networking and Impact on Learners, Interview 3
Course: Single Variable Calculus
Modules:
Sequences, BONUS!, Differences, Discrete Calculus
Numerical O.D.E.s, Numerical Integration
Infinite Series, Convergence Tests I, Convergence Tests II, Absolute & Conditional
Power Series, Taylor Series Redux, Approximation and Error, BONUS!
Calculus Redux, BONUS!, Foreshadowing, Credits
Course: Calculus through Data & Modeling: Applying Differentiation
Modules:
Linear Approximation, Tangent Planes and Multivariable Linear Approximation
Maxima and Minima of Single-Variable Functions, How Derivatives Affect the Shape of a Graph
Maxima and Minima of Multivariable Functions
Lagrange Multipliers
Construction Cost Optimization
Course: Kafka Architecture and Internals
Modules:
Kafka Internals Overview, Replication and Replica Types, Preferred Ladder, Request, and Request Processing, Types of Requests, Partition Allocation, File Management, and Segments, File Format, Index, and Compaction, Kafka Reliability and Reliability Methods, Broker Configuration for Replication, Producer in Reliable System, Consumer in Reliable System
Cluster Mirroring, Multi-Cluster Architecture - Hub, Spokes, and Active-Active, Multi-Cluster Architecture - Active-Standby and Stretch Cluster, MirrorMaker Configuration, MirrorMaker Deployment and Tuning, DEMO:  Setting up Mirror Maker, Administering Kafka - Topic Operations, Administering Kafka - Consumer Group Operations, Dynamic Configuration Changes, Partition Management, Console Producer Tool, Console Consumer Tool
Course: Paths to a Sustainable Future
Modules:
Overall introduction
Introduction, The Need of a New Worldview – Introducing Gaia, Worldviews and their role in rethinking the Earth-Human relationship -Part 1, Worldviews and their role in rethinking the Earth-Human relationship -Part 2, Introducing the 6 Gates of the Great Transition Handbook, Ethics for a Great Transition, What is Transitional Justice?, Ecological Consciousness and the Politics of Transition - Part 1, Ecological Consciousness and the Politics of Transition - Part 2, Conclusion
Introduction, The private company confronting social and ecological challenges - Part 1, The private company confronting social and ecological challenges - Part 2, Stakeholders management : overview - Part 1, Stakeholders management : overview - Part 2, Redefining Business, On social enterprise, Building Ecosocial Value - Part 1, Building Ecosocial Value - Part 2, Towards a New Accountancy – New Tools, Understanding sustainable economic development, Understanding Green Central Banking for green policy, Conclusion
Introduction, Collective governance principles and structure of organisation, Decision making in collective governance, Ecosocial transition from the ecovillage experience - Part 1, Ecosocial transition from the ecovillage experience - Part 2, Mobilizing people by working in an ‘Atelier’, Conclusion, Overall conclusion
Course: AI 알고리즘 모델과 한계점
Modules:
전문 과정 소개, 강좌 소개, 정렬: 함수 및 데이터, 데이터 세트로서의 나, 주간 복습
프로그램 프로그래밍, 연구실을 넘어서: 프로덕션 환경의 모델, 주간 복습
모델링 구조: 정확도 및 편향, 미러: 실제 데이터를 통한 모델 학습, 주간 복습
머신 러닝 탐구: 미래 전망, AI, 도덕과 이익의 균형, 영향 및 통제: AGI를 위한 대비, 주간 복습
Course: Vector Search and Embeddings - Español
Modules:
Por qué usar la búsqueda de vectores, Generar embeddings, Crear una búsqueda de vectores, Búsqueda de vectores en acción, Búsqueda de vectores con RAG
Course: Spark, Hadoop, and Snowflake for Data Engineering
Modules:
Meet your Co-Instructor: Kennedy Behrman, Meet your Co-Instructor: Noah Gift, Overview of Big Data Platforms, Getting Started with Hadoop, Getting Started with Spark, Introduction to Resilient Distributed Datasets (RDD), Resilient Distributed Datasets (RDD) Demo, Introduction to Spark SQL, PySpark Dataframe Demo: Part 1, PySpark Dataframe Demo: Part 2
What is Snowflake?, Snowflake Layers, Snowflake Web UI, Navigating Snowflake, Creating a Table in Snowflake, Snowflake Warehouses, Writing to Snowflake, Reading from Snowflake
Accessing Databricks, Spark Notebooks with Databricks, Using Data with Databricks, Working with Workspaces in Databricks, Advanced Capabilities of Databricks, PySpark Introduction on Databricks, Exploring Databricks Azure Features, Using the DBFS to AutoML Workflow, Load, Register and Deploy ML Models, Databricks Model Registry, Model Serving on Databricks, What is MLOps?, Exploring Open-Source MLFlow Frameworks, Running MLFlow with Databricks, End to End Databricks MLFlow, Databricks Autologging with MLFlow
Kaizen Methodology for Data, Introducing GitHub CodeSpaces, Compiling Python in GitHub Codespaces, Walking through Sagemaker Studio Lab, Pytest Master Class (Optional), What is DevOps?, DevOps Key Concepts, Continuous Integration Overview, Build an NLP in Cloud9 with Python, Build a Continuously Deployed Containerized FastAPI Microservice, Hugo Continuous Deploy on AWS, Container Based Continuous Delivery, What is DataOps?, DataOps and MLOps with Snowflake, Building Cloud Pipelines with Step Functions and Lambda, What is a Data Lake?, Data Warehouse vs. Feature Store, Big Data Challenges, Types of Big Data Processing, Real-World Data Engineering Pipeline, Data Feedback Loop
Course: The Business, Politics, Policy, & Players of Space Programs
Modules:
Lesson 1 Overview, Video Capsule Introduction, Video Capsule, Discussion Prompt, Your Path, Connections, Crew Questions, The Future, Wrap Up
Lesson 2 Overview, Video Capsule Introduction, Video Capsule, Discussion Prompt, Your Path, Connections, Crew Questions, The Future, Wrap Up
Lesson 3 Overview, Video Capsule Introduction, Video Capsule, Discussion Prompt, Your Path, Connections, Crew Questions, Transporter, The Future, Wrap Up
Lesson 4 Overview, Video Capsule Introduction, Video Capsule, Discussion Prompt, Your Path, Connections, Crew Questions, Transporter, The Future, Wrap Up, Bonus - Space Tug, Bonus - Space Mining
Lesson 5 Overview, Video Capsule Introduction, Discussion Prompt, Your Path, Connections, Crew Questions, The Future, Wrap Up, Bonus - Distracted Driving, Bonus - Rocky Flats
Lesson 6 Overview, Video Capsule Introduction, Video Capsule, Discussion Prompt, Your Path, Connections, Crew Questions, Transporter, The Future, Wrap Up
Lesson 7 Overview, Video Capsule Introduction, Discussion Prompt, Your Path, Connections, Crew Questions, The Future, Wrap Up
Lesson 8 Overview, Video Capsule Introduction, Discussion Prompt, Your Path, Connections, Crew Questions, The Future, Wrap Up
Lesson 9 Overview, Video Capsule Introduction, Discussion Prompt, Your Path, Connections, Crew Questions, Transporter, The Future, Wrap Up
Course: Generative AI for Project Managers
Modules:
Project management overview, The project manager and Generative Artificial Intelligence, History of Generative AI
Security and Ethical Issues, Summary and Course Roundup
Course: Exploratory Data Analysis with MATLAB
Modules:
Practical Data Science with MATLAB, Overview of Exploratory Data Analysis with MATLAB, Instructor Introduction, Why Do We Need Data Science?, MATLAB as a Data Science Tool, Getting Started with MATLAB, How to ask Good Questions of Your Data, Interactive Data Exploration, Overview of the Data Science Workflow, The Workflow in Practice, Summary of Module 1: The Data Science Workflow
Introduction to Module 2: Importing Data, How Data is stored, How MATLAB Represents Data, How to Use the Import Tool, MATLAB Data Types, Why Automate the Import Process?, Generating and Reusing Code, Summary of Module 2: Importing Data
Introduction to Module 3: Visualizing and Filtering Data, Plotting Data Contained in Tables, Selecting Data from Tables, Accessing and Creating Table Variables, Summary of Module 3: Visualizing and Filtering Data
Introduction to Module 4: Performing Calculations:, Basic Mathematical Operations, Using Vectors, Using Functions, Calculating Summary Statistics, Correlations Between Variables, Accessing Subsets of Data, Introduction to Categorical Data, Performing Group Calculations, Visualizing Results, Summary of Module 4: Performing Calculations
Documenting Your Work, Creating a Live Script, Adding Interactive Controls to a Live Script, Summary of Exploratory Data Analysis with MATLAB
Course: Optical and X-Ray Characterization
Modules:
Introduction to This Course
5.1.1: Reflectance Spectroscopy, 5.1.2: Worked Example
5.2: Ellipsometry
5.3: Photoluminescence
5.4.1: Electron Microprobe X-ray Analysis, 5.4.2: Examples of Electron Microprobe Analysis
Case Study Solution: Electron Microprobe Project
Course: 流行病学基础（上）
Modules:
Lecture1-1 历史与回顾（1）, Lecture1-2 历史与回顾（2）, Lecture1-3 定义与特征, Lecture1-4 应用与成就, Lecture1-5 展望
Lecture2-1 疾病的分布概述, Lecture2-2 发病频率测量指标与疾病流行强度, Lecture 2-3 患病频率测量指标, Lecture 2-4 死亡与生存频率测量指标, Lecture 2-5 疾病三间分布的综合描述
lecture 3-1 描述性流行病学（1）, lecture 3-2 描述性流行病学（2）, lecture 3-3 现况研究 （21:25）, lecture 3-4 现况研究的设计与实施, lecture 3-5 抽样方法, lecture 3-6 生态学研究
lecture 4-1 队列和队列研究的概念, lecture 4-2 队列研究的意义, lecture 4-3 如何开展一项队列研究, lecture 4-4 队列研究结果的分析与评价（一）, lecture 4-5 队列研究结果的分析与评价（二）, lecture 4-6 队列研究设计与实施中需要注意的问题
lecture 5-1 病例对照研究概述（一）, lecture 5-2 病例对照研究概述（二）, lecture 5-3 病例对照研究实施步骤, lecture 5-4 病例与对照的选择, lecture 5-5 样本量的计算, lecture 5-6 不匹配不分层资料的计算, lecture 5-7 匹配资料的计算, lecture 5-8 偏倚和混杂
Lecture 6-1 病因与因果推断, Lecture 6-2 病因模型, Lecture 6-3 因果推断的方法和步骤, Lecture 6-4 因果推断标准
期末考试
Course: Writing your World: Finding yourself in the academic space
Modules:
Writing your World: Finding yourself in the academic space, Thinking about your essay, Meet our student writers, Through the looking glass: Who am I?, Woodward on identity: I, me and the world, Woodward on identity: Roots and routes, How do definitions work?, Definitions in context, Drafting your definition, Giving feedback on definitions
Recap on identity, Identity and mobility through the ages, Nelson Mandela: Terrorist or freedom fighter?, Reading strategies, Applying reading strategies: Sichone’s chapter, Applying reading strategies: Blommaert’s chapter, Understanding the course essay, Drafting your introduction, Giving feedback on introductions, Relationship between the introduction and conclusion
Recap on identity and mobility, Case study of an international student, Pool of abundance: Understanding culture, Round table discussion on culture, Writing paragraphs, Quotes and paraphrasing, In-text referencing, Coherence and cohesion, Student writers drafting their paragraphs, Giving feedback on Ada’s paragraph, Giving feedback on Ziggy’s paragraph, Giving feedback on Joey's paragraphs
Looking back on the course, Round table discussion: Reflection on the readings, The essay building blocks, Referencing and managing sources, Giving feedback on Ziggy's draft, Giving feedback on Joey's draft, Giving feedback on Ada's draft, Looking forward
Course: Алгоритмы, часть I
Modules:
Введение в курс
Динамическая связность, Быстрый поиск, Быстрое объединение, Улучшения для быстрого объединения, Применение систем непересекающихся множеств
Введение в анализ алгоритмов, Наблюдения, Математические модели, Классификации порядка роста, Теория алгоритмов, Память
Стеки, Массивы изменяющегося размера, Очереди, Обобщенные коллекции, Итераторы, Области применения стеков и очередей (дополнительно)
Введение в сортировку, Сортировка выбором, Сортировка вставкой, Сортировка методом Шелла, Перемешивание, Выпуклая оболочка множества точек
Сортировка с объединением, Сортировка «снизу вверх» с объединением, Сложность сортировки, Компараторы, Устойчивость
Быстрая сортировка, Выбор, Дублирующиеся ключи, Системные сортировки
API и элементарные реализации, Бинарные кучи, Кучевая сортировка, Событийное моделирование (дополнительно)
API таблицы символов, Элементарные реализации, Упорядоченные операции, Бинарные деревья поиска, Упорядоченные операции в БДП, Удаление из БДП
2-3-деревья поиска, Красно-черные БДП, B-деревья (дополнительно)
Поиск по 1-мерному диапазону, Пересечение отрезков, k-мерные деревья, Интервальные деревья поиска, Пересечение прямоугольников
Хэш-таблицы, Раздельное связывание цепочками, Линейное исследование, Контекст хэш-таблицы
Области применения таблиц символов: множества (дополнительно), Области применения таблиц символов: клиенты словарей (дополнительно), Области применения таблиц символов: клиенты индексирования (дополнительно), Области применения таблиц символов: разреженные векторы (дополнительно)
Course: AI-Powered Data Analysis: A Practical Introduction
Modules:
Welcome to Course, What Even is Data, Anyway?, Data Acquisition and GenAI, Data: Contents & Containers
What is Data Analysis?, Tool Diversity, Data Types and Structures, Data Wrangling, Data Analysis, Data Visualization
Supporting Skills, GenAI as Technical Assistant
Course: AIDS: Fear and Hope
Modules:
01.01 - Mini-Intro (1): Terminology, Stigma, 01.02 - A Snapshot of the Epidemic, 01.03 - Mini-Intro (2): Suggested Books, 01.04 - Memories of the Beginning: San Juan and Cambridge, Mass., 01.05 - Some History, 01.06 - Memories of the Beginning: Chicago and Philadelphia, 01.07 - Mini-Intro (3): Learning about Science; The Bodily Fluids that Carry HIV, 01.08 - HIV, Other Viruses, Other Species, Virus Hunters, 01.09 - Mini-Intro (4): Talking About Sex
02.01 - Women, Gender Inequality, and HIV, 02.02 - Sexual Transmission of HIV, 02.03 - Taking a Sexual History, 02.04 - Non-Sexual Transmission of HIV, 02.05 - Four Presidents (1): Reagan, 02.06 - Memories of the Beginning: Princeton and Washington, DC, and Ann Arbor, MI, 02.07 - Memories of the Beginning: NIH
03.01 - Working with African Ministers, 03.02 - Memories of the Beginning: Detroit, 03.03 - Future Ministers Get Tested, 03.04 - Test Counselors, 03.05 - Professor Tests Himself, Oral Swab, 03.06 - Professor Tests Himself, Blood, 03.07 - Four Presidents (2): Museveni, 03.08 - Update on Testing, 03.09 - 03.09 - Course Recap
04.01 - Richard's Story - HIV Diagnosis, Coping, Early Life, Spiritual Quest, 04.02 - Richard's Story - Living with HIV, 04.03 - Bug Chasers and Gift Givers, 04.04 - Four Presidents (3): Bush, 04.05 - AIDS, Gender, Sexual Orientation Issues
05.01 - Caring for Patients: Dr. Brown and Ms. Corkery at the Detroit Receiving Hospital (Part 1), 05.02 - Caring for Patients: Dr. Brown and Ms. Corkery at the Detroit Receiving Hospital (Part 2), 05.03 - Memories of the Beginning: St. Louis and Detroit, 05.04 - Four Presidents (4): Mbeki, 05.05 - AIDS and the Practice of General Medicine, 05.06 - Caring for Patients: Dr. Riddell at the University of Michigan, 05.07 - The Drugs: Dr. Riddell Describes Antiretroviral Therapy
06.01 - Needle and Syringe Exchange, Addiction, Harm Reduction, 06.02 - Blood Nobility, 06.03 - Gardenias, 06.04 - HIV, Cultural Complexity, Art, 06.05 - Vaccine, 06.06 - Circumcision and Prevention, 06.07 - Trusted Messengers in Zambia, 06.08 - Outreach to African-American Ministers
07.01 - HIV and the Law, 07.02 - The Criminalization of HIV, 07.03 - The Search for a Cure, 07.04 - The Cost of Drugs, 07.05 - Infected but not Treated, 07.06 - Anti-Retroviral Treatment: The Problems, 07.07 - PrEP and PEP, 07.08 - Case Management and Community Health Workers, 07.09 - Activism, 07.10 - Farewell
Course: Sample-based Learning Methods
Modules:
Course Introduction, Meet your instructors!
What is Monte Carlo?, Using Monte Carlo for Prediction, Using Monte Carlo for Action Values, Using Monte Carlo methods for generalized policy iteration, Solving the Blackjack Example, Epsilon-soft policies, Why does off-policy learning matter?, Importance Sampling, Off-Policy Monte Carlo Prediction, Emma Brunskill: Batch Reinforcement Learning, Week 1 Summary
What is Temporal Difference (TD) learning?, Rich Sutton: The Importance of TD Learning, The advantages of temporal difference learning, Comparing TD and Monte Carlo, Andy Barto and Rich Sutton: More on the History of RL, Week 2 Summary
Sarsa: GPI with TD, Sarsa in the Windy Grid World, What is Q-learning?, Q-learning in the Windy Grid World, How is Q-learning off-policy?, Expected Sarsa, Expected Sarsa in the Cliff World, Generality of Expected Sarsa, Week 3 Summary
What is a Model?, Comparing Sample and Distribution Models, Random Tabular Q-planning, The Dyna Architecture, The Dyna Algorithm, Dyna & Q-learning in a Simple Maze, What if the model is inaccurate?, In-depth with changing environments, Drew Bagnell: self-driving, robotics, and Model Based RL, Week 4 Summary, Congratulations!
Course: Mountains 101
Modules:
1.1 Course Introduction, 1.2 Why do Mountains Matter?, 1.3 Defining a Mountain, Tech Tip 01: Your Feet are Your Vehicle
2.1 Mountains & Deep Time, 2.2 Current Theories of Mountain Building, 2.3 Types of Mountains, 2.4 Conclusion, Tech Tip 02: Dress for Success
3.1 Global Climate Drivers, 3.2 Local Climate Drivers, 3.3 Alpine Environments, Tech Tip 03: What goes in your pack?
4.1 Atmospheric Pressure & Oxygen Partial Pressure, 4.2 Acclimatization, 4.3 Adaptation of High-Altitude Peoples, Tech Tip 04: Stay Found - Preparation
5.1 Water Towers, 5.2 Sources of Water in Mountains, 5.3 Runoff, 5.4 When Water Towers Malfunction, Tech Tip 05: Stay Found – In the Field
6.1 What are Glaciers?, 6.2 Types of Glaciers, 6.3 Glacier Dynamics, 6.4 Glacier Features & Land Modifications, Tech Tip 06: Stay Safe (Fall or Fall In)
7.1 Attitudes Towards Mountains, 7.2 Western Romantic Enthusiasm, Tech Tip 07: Stay Safe - Winter Challenges
8.1 Avalanches, 8.2 Landslides, 8.3 Volcanoes, Tech Tip 08: Stay Safe - Avalanche Safety (Know Before You Go)
9.1 Biodiversity in Mountains, 9.2 Hotspots of Biodiversity, 9.3 Adaptations of Conifer Trees, 9.4 Adaptations of Alpine Plants, 9.5 Reproduction of Alpine Plants, Tech Tip 09: Go Farther - Camping
10.1 Adaptations of Animals to Mountain Environments, 10.2 Examples of Mountain Adapted Species, 10.3 Freshwater Fish in Mountain Lakes, Tech Tip 10: Go Farther - Cooking
11.1 Use & Preservation, 11.2 Preservation, 11.3 Integrating Use & Preservation, Tech Tip 11: Go Softly - Mountain Ethics
12.1 Climate Change, 12.2 Biodiversity, 12.3 Into the Future
Course: Startup Valuation Methods
Modules:
Introduction to Valuation, Determining Cash Flows, Time Value of Money, Obtaining the Discount Rate, Comparables Valuation
Discounted Cash Flow Valuation, Income Statement: Revenues, Income Statement: Other Items, Income Statement: Depreciation, Income Statement: Complete the Calcs, Income Statement: Working Capital, Income Statement: Free Cash Flows, Assumption of Future Growth, Present Value of Cash Flows, Market Value of Assets
Recap Discount Rate, Adding Probability of Failure, Interpreting Business Plans, Adjusting Discount Rates
Introduction to Financing Options for Entrepreneurial Ventures, Understanding Debt, Venture Capital, What is a VC Investor? VC Funds, How VCs Value Businesses, The VC Method, Term Sheets, Option Pool, Understanding Anti-Dilution
Angel Investors, Angel Securities, Angel Term Sheets, Capped Conversion Price, Course Conclusion
Course: Essential Cloud Infrastructure: Foundation - Español
Modules:
Introducción al curso
Descripción general del módulo, Cómo usar Google Cloud, Introducción al lab: Trabaja con la consola de Google Cloud y Cloud Shell, Cómo comenzar a usar Google Cloud Platform y Qwiklabs, Revisión del lab: Trabaja con la consola de Google Cloud y Cloud Shell, Introducción al lab: Vista previa de la infraestructura, Revisión del lab: Vista previa de la infraestructura, Demostración: Proyectos, Revisión del módulo
Descripción general del módulo, Nube privada virtual, Proyectos, redes y subredes, Demostración: Expande una subred, Direcciones IP, Demostración: IP interna y externa, Cómo asignar direcciones IP, Rutas y reglas de firewall, Precios, Introducción al lab: Herramientas de redes de VPC, Revisión del lab: Herramientas de redes de VPC, Diseños comunes de redes, Introducción al lab: Implementar el Acceso privado a Google y Cloud NAT, Revisión del lab: Implementar el Acceso privado a Google y Cloud NAT, Revisión del módulo
Descripción general del módulo, Compute Engine, Demostración: Crea una VM, Acceso y ciclo de vida de las VM, Introducción al lab: Cómo crear máquinas virtuales, Revisión del lab: Cómo crear máquinas virtuales, Opciones de Compute, Precios de Compute, Opciones de configuración especiales de Compute, Imágenes, Opciones de disco, Acciones comunes de Compute Engine, Introducción al lab: Cómo trabajar con máquinas virtuales, Revisión del lab: Cómo trabajar con máquinas virtuales, Revisión del módulo, Revisión del curso
Course: Fundamental Privacy Acts and Laws
Modules:
Introduction to The US Federal Government Branch and Information Privacy, The Privacy Act of 1974, The Computer Matching and Privacy Protection Act of 1988, E-government Act of 2002, Section 208
Introduction to US healthcare Privacy Related Laws, Healthcare Insurance and Portability Accountability Act of 1996 (HIPAA), As Amended, Healthcare Information Technology for Economic and Clinical Act of 2009 (HITECH) and the Breach Notification Rule, Genetic Information Non-Discrimination Act of 2008 (GINA), HIPAA/HITECH/GINA Omnibus Final Rule of 2013, Healthcare Privacy Compliance Program Management
Introduction to Several Global Data Protection and Information Privacy Laws, EU General Data Protection Regulation (GDPR), UK Data Protection Act, Amended in 2018, Brazil General Data Protection Law (LGPD), Canada Personal Information Protection and Electronic Documents Act of 2000 (PIPEDA)
Course: Git Basics for DevOps
Modules:
GIT Course Introduction, GIT Introduction, Local and Remote Repositories, Install GIT, Intialize a GIT Repository, Demo: Initialize a GIT Repository, GIT Log
Git Branches, GIT Merging branches
Initialize Remote Repositories, Pushing to remote repositories, Cloning remote repositories, Pull Requests, Fetching and Pulling, GIT - Merge Conflicts, Fork
Course: Preparing for and Passing Technical Certifications
Modules:
Course Introduction
Understanding Certifications, Question Types, How Questions are Evaluated
Learning Styles, Exam Reconnaissance, Certification Resources
Making a Study Plan, Maximizing Your Preparation Time, Taking the Exam, Course Summary
Course: Bioinformatic Methods I
Modules:
Introduction, Lecture, Lab Discussion, Summary
Introduction, Lecture, Lab Discussion, Summary
Introduction, Lecture, Lab Discussion, Summary
Quiz: Modules 1-3
Introduction, Lecture, Lab Discussion, Summary
Introduction, Lecture, Lab Discussion, Summary
Introduction, Lecture, Lab Discussion, Summary
Final Assignment Instructions
Course: 현대 로봇공학, 강좌 1: 로봇 동작의 기초
Modules:
환영 인사 및 감사의 말, Lightboard 소개
로봇 동작의 기초, 강체의 자유도(챕터 2~2.1), 로봇의 자유도(챕터 2.2)
형상 공간 위상(챕터 2.3.1), 형상 공간 표현 (챕터 2.3.2), 형상 및 속도 제약조건(챕터 2.4), 작업영역과 가용영역(챕터 2.5)
강체 운동 개요(챕터 3~3.1), 회전 행렬(챕터 3.2.1, 파트 1/2), 회전 행렬(챕터 3.2.2, 파트 2/2), 각속도(챕터 3.2.2), 회전의 지수 좌표(챕터 3.2.3, 파트 1/2), 회전의 지수 좌표(챕터 3.2.3, 파트 2/2)
동차 변환 행렬(챕터 3.3~3.3.1), 비틀림(챕터 3.3.2, 파트 1/2), 비틀림(챕터 3.3.2, 파트 2/2), 강체 운동의 지수 좌표(챕터 3.3.3), 렌치(챕터 3.4)
Course: Securing Digital Democracy
Modules:
Welcome, The Security Mindset, Security Requirements for Voting, The Living Voice, Early Paper Ballots, The Australian Ballot, Mechanical Voting Machines, Punched Card Voting
Computers at the Polls, Optical Scan Voting, DRE Voting Machines, Inside the Black Box, Paper as a Defense, Diebold, More Goes Wrong
Voter Registration, Voter Authentication, Guarding Against Tampering, Field Testing, Case Studies, India's EVMs, Tamperproof?, India's Response, Bonus: Deport on Arrival
Usability, Usable Paper Ballots, Accessibility, Absentee Voting, A Bad Idea, Client-side Threats, Server-side Threats, Washington, D.C.
Criteria, Post-Election Auditing, End-to-End Verifiable Voting, Verifying an E2E Result, Election Policy in the U.S., Testing and Certification, Recommendations
Course: Positive Psychology: Applications and Interventions
Modules:
1.1 Welcome, 1.1 Assignment, 1.2  A Thought Experiment, 1.3 Introduction to the Course, 1.3 Assignment, 1.4 Theoretical Introduction, 1.4 Assignment, 1.5 Broaden-and-Build Theory of Positive Interventions, 1.5 Assignment, 1.6 Cultivating Positive Emotions, 1.6 Assignment
2.1 Revisit Reversible Cape, 2.1 Assignment, 2.2 Are Positive Emotions Always Positive?, 2.2 Assignment, 2.3 Emotional Intelligence, 2.3 Assignment, 2.4 Savoring, Part 1, 2.4 Assignment, 2.5 Savoring, Part 2, 2.5 Assignment, 2.6 Savoring, Part 3, 2.6 Assignment
3.1 Introduction to Character Strengths and Virtues, 3.1 Assignment, 3.2 VIA Classifications of Character Strengths and Virtues, 3.2 Assignment, 3.3 Signature Strengths, 3.3 Assignment, 3.4 Using Signature Strengths, 3.4 Assignment, 3.5 Strengths at Work, Home, and Play, 3.5 Assignment, 3.6 Strengths in Romantic Relationships, 3.6 Assignments
4.1 Introduction, 4.1 Assignment, 4.2 Choosing Life Goals, 4.2 Assignment, 4.3 Choosing Goals to Support Well-Being, 4.3 Assignment, 4.4 Following Through on the Goals We Choose, 4.4 Assignment, 4.5 Flow, 4.5 Assignment, 4.6 Review and Conclusion, 4.6 Assignment
Course: Relational Database Support for Data Warehouses
Modules:
Course introduction video, Course objectives video lecture, Course topics and assignments video lecture, DBMS extensions video lecture, Relational database schema patterns video lecture, Colorado Education Data Warehouse video lecture, Data warehouse standards in health care video lecture
GROUP BY clause review video lecture, SQL CUBE operator video lecture, SQL ROLLUP operator video lecture, SQL GROUPING SETS operator video lecture, Variations of subtotal operators video lecture
Processing Model and Basic Syntax video lecture, Extended Syntax and Ranking Functions video lecture, Window Comparison I video lecture, Window Comparisons II video lecture, Functions for Ratio Comparisons video lecture, PostgreSQL Query Patterns for RATIO_TO_REPORT
Background on traditional views video lecture, Materialized view definition and processing video lecture, Query Rewriting Rules video lecture, Query Rewriting Examples video lecture
Storage Architectures video lecture, Scalable Parallel Processing Approaches video lecture, Big data issues video lecture, Data Governance video lecture
Video for Lesson 1, Video for Lesson 2, Video for Lesson 3, Video for Lesson 4, Video for Lesson 5, Video for Lesson 6, Video for Lesson 7, Video for Lesson 8, Closing Lecture
Course: Introduction to Gemini for Google Workspace - 简体中文
Modules:
Google Workspace 专用 Gemini 简介, 什么是生成式 AI？, Google Workspace 专用 Gemini 的功能
Course: A Theoretical Origin of Ethics in Business and Tech Industry
Modules:
The Origins of Human Morality?, Transition into Family Groups and Small Tribes, The Slow Transition From Tribe to Village
Human Development and Eusociality, Biology or Social Evolution?
Tribalism Versus Human Potential, The Effect of Culture on Our Morals, What Does the Future Hold?
Course: المحاسبة عن حقوق المساهمين
Modules:
مفهوم (Shareholders' Equity), المكونات الأساسية  في بند الـ (Shareholders’ Equity) - الجزء الأول, المكونات الأساسية  في بند الـ (Shareholders’ Equity) - الجزء الثاني, المعالجة المحاسبية للـ (Shareholders’ Equity) ومفهوم الأسهم (Stocks), الأسهم (stocks) وخصائصها وقيمها, أنواع الأسهم (Stocks) - الجزء الأول, أنواع الأسهم (Stocks) - الجزء الثاني, مفهوم السندات (Bonds) وأنواعه, بعض القواعد العامة الخاصة بالـ (Stocks) وحقوق المساهمين, الخاتمة
Course: Gender Analytics for Innovation
Modules:
Introduction to the Gender Analytics specialization, Introduction to the Gender Analytics faculty, Gender Analytics learning philosophy, Gender Analytics to create opportunities, Case example: McCarthy Uniforms, Gender Analytics to avoid risks
Gender Analysis Competency Framework introduction, Understanding the Gender Analysis Competency Framework, How the courses in the Specialization will build your competencies
Defining gender, Beyond the gender binary, Impact of intersectionality
Gender Analytics as innovation, Inclusive innovation is radical innovation, Inclusion as transformation, Application Spotlight: Application to your project workplan, Application Spotlight: Application to your Self Development Plan, End of Course Recap
Course: Greening the Economy: Sustainable Cities
Modules:
About the course, Sustainable Urban Transformation, Sustainable Cities, ICLEI Green Climate Cities – an introduction, ICLEI Green Climate Cities – development strategy, WWF Housing, The Urban Green – Part 1
Infrastructure and Planning, Cities, Nature and Innovation – an introduction, Cities, Nature and Innovation – international overview, WWF Transport, The Urban Green - Part 2
Climate Governance and Urban Experiments, Governance of Urban Sustainability Transitions – an introduction, Governance of Urban Sustainability Transitions – discussions themes, WWF Positive, The Urban Green - Part 3
Sustainable Urban Lifestyles, Sharing Economy and Cities – an introduction, Sharing Economy and Cities – key topics, WWF Consumption, The Green Urban - Part 4
Visioning Cities for the Future, WWF and Sustainable Cities, Smart and Sustainable Cities – an introduction, Smart and Sustainable Cities – future possibilities, WWF Food, The Green Urban - Part 5
Course: 拍摄：像剪辑师一样拍摄
Modules:
专项课程宣传片, 《像剪辑师一样拍摄》课程简介, 导演职能：决定接纳什么、排除什么, 摄影的职能：设计者和发现者, 灯光的职能：用视觉展示材质、形状, 美术的职能：电影里的绘画师, 制片与副导演的职能：让导演安心的左膀右臂, 场记的职能：导演的第二双眼睛, 录音师与化妆师的职能, 土豪微电影剧组的装备, “穷人”剧组的工艺：返璞归真, 剧组令人哽咽的时刻：心心相映
初读剧本：吸收、内化、感受, 精读剧本：高度自觉的研究与想象, 走向阐释：导演思维对剧本的全面渗透
任何一场戏都有很多种拍法：制定表演与视觉阐释方案, 进入导演的脑子里：实现共同的构想, 摄影片场经验总结：摄影是交流, 光的暗示：电影即光, 天地有情：布景、服装、道具等视觉元素, 涵盖场景？不要给自己太多机会改写影片, 总结：得到超凡表现的方法
尽量不要去表演：本色出演, 最佳情境：此刻的真实, 外在的真实：外部修饰, 让演员干点什么：为一场戏选择最合适的身体动作, 情感的形象化处理：强调做，而不是感觉。, 导演与演员：演员是导演的另一个自己
啥也不多说，开始拍吧！
Course: Extracting Value from Dark Data: ULEADD
Modules:
Meet the Instructor, Extracting Value Overview
What is ULEADD? Part 1, What is ULEADD? Part 2, Why is ULEADD Important for an Organization?, How Will ULEADD Help Me?, An Overview of the Understand Phase in ULEADD, Setting Outcomes: What We Want from Dark Data, Understanding Impacts, An Overview of the Learn Phase in ULEADD, Learning the Roadblocks, What is Possible With Dark Data?, Learning What You Don’t Understand
Impact Centered Design: How Do I Better Understand What Dark Data to Target?, Scoping Dark Data: Since Dark Data is Endless, How Do I Know What is Relevant?, Overview: Gap Evaluation, Performing a Detailed Evaluation of a Known SWOT, Performing a Detailed Evaluation of an Unknown SWOT, Performing a Positional Evaluation of an Organization, Organizational Needs Assessment: An Overview of Immediate, Near Future, and Long-term Needs, Detailed Needs Assessment: Unknown Needs in the Immediate, Near Future, and Long-term, Assessment Prioritization: Assessing and Prioritizing Needs With Leadership, Stakeholders, and Other Interested Parties
Overview: The Define and Design Phases, Defining the Parameters of Your Investigation of Dark Data, Defining Opportunity, Defining and Validating Your Definition of an Opportunity, Designing the Path Forward, High-level Architecture, Data Design Walkthrough
Course: A New Communication Framework for Healthcare
Modules:
Introduction to Compassion in Healthcare, Defining Empathy & Compassion, Context Matters, Evonne Ep.1 A Casual Call for Surgery, Empathy & The Magic IF, Evonne Ep.2 Jargon Affects the Family, Jargon's Full Impact, Evonne Ep.3 Her 21st & Final Surgery, Evonne Ep.4 Reflections on the Culture of Medicine, Statistics from Doctors & Patients, Summary & Wrap-Up
Introducing 'Who-What-Why', The 'Who' in Who-What-Why, A Walk in the Park, The Effects of Socialization Part 1, The Effects of Socialization Part 2, Broadened Horizons Part 1, Broadened Horizons Part 2, A Concluding Call to Action
Intro/The Curse of Knowledge, Building Understanding & Trust with Patients, Listening, Attention to Detail, Information in the Proper Order, How to Avoid Jargon, Know Your Audience, Summary & Recap
Dr. Winters' Story, The Clinical Story: Overview, Deep Dive into Who-What-Why, The Wellness Story: I Wish I Had Known..., A Tool to Determine Best Care, Patient Story: Hannah/Using the Tool, Story Bridges the Gap, Summary & Going Forward
Staff Information
Course: Java Basics: Selection and Iteration
Modules:
Navigating Codio Assignments, Printing Lesson Notes (Optional Download), Variables Lesson Notes (Optional Download), Basic Skills Lab (Review and Practice) Notes (Optional Download), How to Reset an Assignment in Codio
Arithmetic Operators Lesson Notes (Optional Download), Boolean Operators Lesson Notes (Optional Download), Operators Lab (Review and Practice) Notes (Optional Download)
If Statement Lesson Notes (Optional Download), If Else Statement Lesson Notes (Optional Download), Switch Case Statement Lesson Notes (Optional Download), Conditionals Lab (Review and Practice) Lesson Notes (Optional Download)
For Loops Lesson Notes (Optional Download), While Loops Lesson Notes (Optional Download), Nested Loops Lesson Notes (Optional Download), Loops Lab (Review and Practice) Lesson Notes (Optional Download)
Course: Fundamentos de la Ingeniería de Requisitos
Modules:
Bienvenida al curso Fundamentos de la Ing. de Requisitos, Qué es la ingeniería de requisitos y su importancia - Parte 1, Qué es la ingeniería de requisitos y su importancia - Parte 2, Qué son requisitos de software, Requerimientos no funcionales, La usabilidad y su importancia
El proceso para obtener requisitos de software - Parte 1, El proceso para obtener requisitos de software - Parte 2, Características de un ingeniero de requisitos
Historias de usuario y épicas, Partes de una historia de usuario, La ficha de las historias de usuario, La conversación, La confirmación, La lista o catálogo de requisitos
Introducción a los casos de uso, Escenarios y casos de uso, La descripción y flujos de un caso de uso, Pre y postcondiciones, ¡Has llegado al final del curso Fundamentos de la Ingeniería de Requisitos!
Course: Introduction to advanced tomography
Modules:
Introduction video
What is tomography, X-ray imaging, Resolution and length scales, Discovering materials microstructure and function (Rajmund Mokso), Applications of ... (Rajmund Mokso)
Handling data, Introduction to Jupyter notes (Nicolai Riis), Using Jupyter notes beyond this course (Nicolai Riis)
Facilities, Tomography experiments, Maxlab 4 (Henning Friis), DTU Imaging Center (Henning Friis), Manchester Imaging Facility (Jakob Sauer Jørgensen)
Workflow, Composite materials for wind turbines, Chalk, Fiber case (Lars Pilgaard Mikkelsen), Chalk (Henning Osholm)
Introduction to tomography, Understanding the origin of the sinogram, Back-projection and filtered back-projection, Fourier reconstruction, Filtered back projection, part 2, Iterative reconstruction, X-ray tomography (Manuel Guizar-Sicairos), Tomographic reconstruction (Jakob Sauer Jørgensen), Tomography basics (Jakob Sauer Jørgensen), Radon transform (Jakob Sauer Jørgensen), Filtered back projection (Jakob Sauer Jørgensen), Summary of filtered back projection reconstruction (Jakob Sauer Jørgensen), Data corrections (Jakob Sauer Jørgensen), Software and summary (Jakob Sauer Jørgensen), Iterative reconstruction (Jakob Sauer Jørgensen), Regularization (Jakob Sauer Jørgensen)
Imaging contrast, Amplitude and phase contrast
Introduction to segmentation, Image and volume segmentation (Vedrana Andersen Dahl), Segmentation strategies (Vedrana Andersen Dahl), Segmentation exercise - Fibers (Vedrana Andersen Dahl), Segmentation exercise - Chalk (Vedrana Andersen Dahl)
Computer resources, Efficient code
Simple modelling, Introduction to finite element modelling, Simple example of finite element modelling, Summary of the cases, Axial stiffness prediction of a fiber case (Lars Pilgaard Mikkelsen), Getting started with CALFEM for python (case 0), Tensile test of a rectangular material box (Case 1), One fiber in a matrix box (case 2), Multiple fibers in a matrix box (Case 3), Bundle structure in a matrix box (case 4)
Lars Pilgaard Mikkelsen, Jakob Sauer Jørgensen, Vedrana Andersen Dahl, Jens Wenzel Andreasen, Installation instructions, Want to learn more?
Course: Untersuchen und Erstellen von Daten für Unternehmen
Modules:
Wir begrüßen Sie beim Untersuchen und Erstellen von Daten zur unternehmerischen Entscheidungsfindung!, Excel Datenanalyse-Toolpak
1-1.1. Grundlegende Terminologie, 1-2.1. Zusammenfassen der Daten: Häufigkeitstabellen, 1-2.2. Häufigkeitstabellen in Excel: Quantitative Daten, 1-2.3. Häufigkeitstabellen: Qualitative Daten, 1-2.4. Darstellen von Häufigkeitstabellen als Balkendiagramm in Excel, 1-3.1. Zusammenfassen der Daten: Histogramme, 1-3.2. Histogramme in Excel, 1-4.1. Zusammenfassen der Daten: Tortendiagramme, 1-4.2. Tortendiagramme in Excel, 1-5.1. Zusammenfassen der Daten: Streudiagramme, 1-5.2. Streudiagramme in Excel
2-1.1. Maße zentraler Tendenzen, 2-1.2. Mittel und Median in Excel, 2-2.1. Streuungsmaße, 2-2.2. Standardabweichung in Excel, 2-3.1. Perzentile und Z-Score, 2-3.2. Z-Score in Excel, 2-4.1. Diskrete und kontinuierliche Zufallsvariablen, 2-4.2. Erwarteter Wert in Excel, 2-5.1. Normalverteilung, 2-5.2. Normalverteilung in Excel, 2-5.3. Standardnormalverteilung in Excel, 2-5.4. „Weniger als“ in Excel, 2-5.5. „Größer als“ in Excel, 2-5.6. „Zwischen Werten“ in Excel, 2-5.7. Ermitteln von Z für eine gegebene Wahrscheinlichkeit (INV) in Excel, 2-6.1. Standardnormalverteilungstabelle
3-1.1. Datenerstellung, 3-2.1. Stichprobennahme, 3-2.2 Stichprobenfunktion in Excel, 3-3.1. Zentrales Grenztheorem und Stichprobenmittel, 3-3.2. Animieren des zentralen Grenztheorems, 3-3.3. Stichprobenverteilung und empirische Regel in Excel, 3-4.1. Zentrales Grenztheorem und Stichprobenmittel
4-1.1. Konfidenzintervall - Grundbegriffe, 4-2.1. Konfidenzintervall für Mittel, 4-2.2. Konfidenzintervall für Mittel in Excel, 4-2.3. Einfluss des Konfidenzniveaus veranschaulicht in Excel, 4-3.1. Konfidenzintervall für Populationsanteil, 4-3.2. Konfidenzintervall für Populationsanteil in Excel, 4-3.3. Animation des Konfidenzintervalls in Excel, 4-3.4. Beispiel Anfangsgehalt in Excel, 4-4.1. Stichprobengröße, 4-4.2. Stichprobengrößen-Anteil in Excel, 4-4.3. Stichprobengrößenmittel in Excel, 4-4.4. Einfluss der Stichprobengröße in Excel, Gies Online Programs (Gies Online-Programme)
Course: Space Exploration
Modules:
Space Exploration: Overview, Introduction to Munich Aerospace, Introduction to the Technical University of Munich
International Strategic Context, Strategy Roadmap, Strategy Outlook
Principles: why the Moon is important and what are "basic principles"?, Destinations - part 1, Destinations - part 2, Programmes: how do current architectures perform and what can Europe contribute?
Introduction to ISRU, ISRU on Moon and Mars, Applications of ISRU
The Moon as a Planetary Body in the Solar System, History of Lunar Exploration, Current Status of Knowledge in Lunar Science, Actual and Future Spaceflight and Science Projects
Background, Past and Ongoing Missions, Recent Orbiter and Landing Missions, Mars 2020 and how to take samples from Mars, Future Missions
Commercial service procurements for Space Exploration, Markets enabled by Space Exploration, Commercialisation policy, benefits and risks
Stress and Space Analogues, Stress in Space and Health (ISS), Facing unique stresses during exploration class missions
Course: Elastic Google Cloud Infrastructure: Scaling and Automation
Modules:
Course Introduction
Module Overview, Cloud VPN, Lab Intro: Configuring Google Cloud HA VPN, Coursera: Getting Started with Google Cloud and Qwiklabs, Cloud Interconnect and Peering, Cloud Interconnect, Peering, Choosing a connection, Shared VPC and VPC Peering, Module Review
Module Overview, Managed instance groups, Autoscaling and health checks, Overview of HTTP(S) load balancing, Example: HTTP load balancer, HTTP(S) load balancing, Lab Intro: Configuring an HTTP Load Balancer with Autoscaling, Lab Review: Configuring an HTTP Load Balancer with Autoscaling, Cloud CDN, SSL proxy load balancing, TCP proxy load balancing, Network load balancing, Internal load balancing, Lab Intro: Configuring an Internal Load Balancer, Lab Review: Configuring an Internal Load Balancer, Choosing a load balancer, Module Review
Module Overview, Terraform, Lab Intro: Automating the Deployment of Infrastructure Using Terraform, Lab Review: Automating the Infrastructure of networks using Terraform, Google Cloud Marketplace, Demo: Launch Infrastructure Solutions on Google Cloud Marketplace, Module Review
Module Overview, BigQuery, Dataflow, Dataprep, Dataproc, Demo: Dataproc, Module Review, Course Series Review
Course: Interaction Design Capstone Project
Modules:
Welcome by Scott & Mike, from Instagram HQ, Scott Klemmer & Mike Krieger in conversation at Instagram HQ, Your Mission
Participant Observation, IDEO Shopping Cart Redesign
Storyboards, Paper Prototypes, and Mockups
Interview with IDEO's Nastasha Tan
When, Why & How to Evaluate Designs with Heuristics, Example: Recording an Evaluation Session for Later Review, Watch Two Students Do Heuristic Evaluation
A plan & a skeleton
Ready for Testing
In-Person Experiments
Designing Studies You Can Learn From, Applying Chi-squared to A/B Tests
Show & Tell