dipopotamus/custom_instruct_coursera_course_module_list huggingface dataset:
Course: Fundamentals of International Business
Modules:
Welcome to the Fundamentals of International Business MOOC!, Introduction to International Business, Key topics and terms, Audio - International business: Mariya’s story, What do we mean by globalisation?
Internationalisation – what is it?, How do firms internationalise?
Institutions and introduction to political systems, Audio - Institutions in practice: Mariya’s story, Audio – Avoiding cross-cultural frustrations: Mariya's story
MNEs – what, why and how, What did we learn and why it matters?
Course: Malware Analysis and Introduction to Assembly Language
Modules:
Malware analysis introduction, Malware analysis process
Lab setup, Lab setup demo, Flare-VM, Capture the Flag exercise demo
Static analysis, Static analysis demo, Dynamic analysis, Dynamic analysis demo part 1, Dynamic analysis demo part 2
Manual code reversing, Manual code reversing demo part 1, Manual code reversing demo part 2, Manual code reversing demo part 3
Analyzing PowerShell scripts, Analyzing JavaScripts part 1, Analyzing JavaScripts part 2, Analyzing macro-enabled documents
Set up REMnux, Set up Fakenet-NG in REMnux, Analyzing ELF file format
Analyzing ASPX webshell, Analyzing JAR, Malware Analysis summary
Intro to Assembly, What is Assembly Language?, Assembly language basics, Commonly used Assembly instructions, Assembly Language step thru, Learning Win32 Assembly programming
Earn the badge
Course: IoT Enabled Farming
Modules:
Introduction to The Future of Farming (IoT-Enabled Farming), Overview of Introduction to IoT in Agriculture, Evolution of Smart Agriculture, IoT in Agriculture: Connecting the Dots, Transforming Agriculture with IoT, Role of Sensors in Modern Farming, Conclusion of Module 1: Introduction to IoT in Agriculture
Introduction to Module 2: IoT Sensors, Devices and Analytics in Smart Agriculture, Revolutionizing Agriculture with Smart Machinery, Creating a Connected Farm Ecosystem, Harnessing Data for Informed Farming Decisions, Big Data in Agriculture: Managing and Analyzing Farm Data, Predictive Analytics in Agriculture: A Practical Approach, Machine Learning Applications in Precision Agriculture, Real-time Monitoring and Control in Smart Farming, Conclusion of Module 2: IoT Sensors, Devices and Analytics in Smart Agriculture, Course Conclusion
Course: GenAI for Program Managers
Modules:
Introduction to GenAI for Program Managers, History & Background for GenAI and Program Managers, Demo for Project Planning and Documentation in Software Development 
with ChatGPT and Claude, Remediating Risks and Ethical Concerns, Demo for Advanced Program Management 
Tasks Completion with GPTo and Claude, Closing Thoughts: What’s Next
Course: Learn Data Storytelling: Power BI Techniques
Modules:
Course Introduction, What is Power BI?, Applications of Power BI, Installation of Power BI Desktop and Service, Working with Power BI, Frameworks for Data Model - I, Frameworks for Data Model - II, Power BI Desktop Interface, Power BI Service Interface, Data Sources in Power BI Desktop, Transforming Data - I, Transforming Data - II, Cleaning Data - I, Cleaning Data - II, Shaping Data - Relationships, Analyzing the Scenario, Transformations  - Adjusting the Data, Transformations - Adding New Data, Transformations - Sorting New Data, Practice Project - Problem Statement, Practice Project - Solution, Summary for Data Modeling and Transformation
Introduction to DAX, DAX Queries - I, DAX Queries - II, DAX Queries - III, DAX Operations - I, DAX Operations: Problem Description, DAX Operations: Transformations, DAX Operations: Column Manipulations, DAX Operations - Date Manipulations, DAX Functions - I, DAX Functions - II, DAX Functions - III, Data Functions - IV, DAX Functions - V, Practice Project I: Railway Analysis, Practice Project II: Table Management, Practice Project III: Modifying Measures, Practice Project IV: Insights, Summary for DAX
Populating Charts with Data, Visualization Types - I, Visualization Types - II, Visualization Types - III, Visualizing Data I, Visualizing Data II: Problem Description, Visualizing Data III: Loading Data, Visualizing Data IV: Creating Visuals, Visualizing Data V:  Arranging Visuals, Visualizing Data VI: Managing Visuals, Practice Project I: Problem Description, Practice Project II: Transforming Data, Practice Project III: Creating Visuals, Practice Project IV: Arranging Visuals, Practice Project V: Syncing Visuals, Summary for Data Visualization
Overview of Power BI Service, Power BI Service I: Loading Data, Power BI Service II:  Manipulating Visuals, Power BI Service III: Creating Report, Power BI Service IV: Publishing Reports, Power BI Service V: Dashboarding, Power BI Service VI: AI Insights, Summary for Power BI Service
Final Project: Employee Attrition Rate: Data Stories with Impactful Insights
Course: An Introduction to Global Health
Modules:
1.1: Welcome to the Course (F Konradsen), 1.2: Voxpop - What is the biggest global health challenge? (Your fellow students), 1.3: How Changing Policies Impact Population's Health (S Whyte), 2.1: Epidemiological and Demographic Transition (DW Meyrowitsch), 2.2: Disability Adjusted Life Years (DALYs) (DW Meyrowitsch), 2.3: Global Burden of Diseases (DW Meyrowitsch), 2.4: Disease-specific Risk Factors, part 1 (IC Bygbjerg), 2.5: Disease-specific Risk Factors, part 2 (IC Bygbjerg)
3.1: Infectious Diseases, part 1 (IC Bygbjerg), 3.2: Infectious Diseases, part 2 (IC Bygbjerg), 4.1: Infectious Diarrheal Diseases (S Tulsani), 4.2: Malaria - The Transition (L Hviid), 4.3: HIV in Global Health (J Lundgren)
5.1: NCDs explained (AR Demaio), 5.2: The Global Burden of Disease - The Rise of NCDs (AR Demaio), 5.3: Determinants and Drivers of NCDs (AR Demaio), 5.4: Diabetes (V Narayan), 5.5: Joint Risk Factors (IC Bygbjerg), 6.1: Mental Health in a Global Perspective (M Muijen), 6.2: Pesticides and Self Harm in Sri Lanka (M Eddleston)
7.1: Sexual and Reproductive Health and Rights (S Tellier), 7.2: Components of Sexual and Reproductive Health (BL Sørensen), 7.3: The Role of the United Nations Population Fund (UNFPA) (E Dupont), 7.4: Abortion Stigma (T Gammeltoft), 8.1: mHealth in Reproductive and Child Health (S Lund), 8.2: Continuum of Care (C Schmiegelow)
9.1: Environmental Health Challenges (F Konradsen), 9.2: Main Environmental Challenges (R Bos), 9.3: Climate Change and Health (P Furu), 10.1: Refugees and Internally Displaced (S Tellier), 10.2: Migrants and Health (S Tellier), 10.3: Migration and Health in a Scandinavian Context (M Nørredam)
11.1: Nutrition and Infectious Diseases (H Friis), 11.2: Diabetes and Maternal and Child Health (KK Nielsen), 12.1: Sanitation and Development Goals (S Cairncross), 12.2: Diseases Related to Water, Sanitation and Hygiene (W van Der Hoek)
13.1: NCDs and Health Care Systems (G Galea), 13.2: Financing Universal Health Coverage (A Bjerrum), 13.3: Health Care Facilities in Burkina Faso (H Samuelsen), 13.4: Health Systems in Fragile States (TA Dræbel), 13.5 Medical Tourism, 14.1: Global Health Governance (S Tellier), 14.2: Framework Convention on Tobacco Control (K Mauer-Stender)
Course: Biología bucal
Modules:
Bienvenida, Introducción a la célula y teoría celular
Bioquímica de la caries dental, Flúor y caries dental, Remineralización dental
Microbiología de la enfermedad periodontal, Inmunología de la enfermedad periodontal
Cavidad oral y enfermedades sistémicas
Course: Strategic Public Relations Planning
Modules:
Introduction & welcome, Definition and importance of strategic PR, Evolution of PR in the digital age, Overview of strategic PR planning process, Identifying key stakeholders, Current trends in PR, Analyzing successful PR campaigns, Understanding SMART goals in PR, Aligning PR goals with business objectives, Types of PR goals
Introduction to module 2, Audience Analysis: Techniques and Tools, Crafting Effective PR Messages: Strategies for Engagement, Channel Strategy: Selecting the Right Medium for Your Message, Visual Communication in PR: The Power of Images and Videos, Tone and Voice: Humanizing Your Brand, Cultural Sensitivity in Messaging: Global PR Considerations, Storytelling in PR: Building Narratives That Resonate, Feedback Loops: Listening and Adapting to Your Audience, Analyzing real-world examples of effective PR messaging
Introduction to module 3, Crisis Communication: Preparation and Response, Reputation Management: Building and Protecting Brand Image, PR Evaluation: Advanced Metrics and Analysis, Ethical Dilemmas in PR: Navigating Grey Areas, Internal Communication: Engaging Your Organization, Public Affairs and Lobbying: The intersection of PR and public policy, Sustainability and CSR in Public Relations: Beyond the Buzzwords, Content Marketing and the Modern PR Professional, Emerging Technologies in PR: AI, VR and Beyond
Introduction to module 4, Overview of the PR planning process, Integrating elements into a PR plan, Best practices for PR planning, Actionable steps in implementing a PR plan, Overcoming common challenges, Case studies of effective implementation, The importance of continuous learning, Adapting to changing environments, Future of strategic PR, Wrap-up and key takeaways
Course: Applied Text Mining in Python
Modules:
Introduction to Text Mining, Handling Text in Python, Regular Expressions, Demonstration: Regex with Pandas and Named Groups, Internationalization and Issues with Non-ASCII Characters
Basic Natural Language Processing, Basic NLP tasks with NLTK, Advanced NLP tasks with NLTK, Application: Spell Checker
Text Classification, Identifying Features from Text, Naive Bayes Classifiers, Naive Bayes Variations, Support Vector Machines, Learning Text Classifiers in Python, Demonstration: Case Study - Sentiment Analysis
Semantic Text Similarity, Topic Modeling, Generative Models and LDA, Information Extraction
Course: Managing the New Product Development Process
Modules:
Course Introduction, Course Overview and Mechanics, Module 1 Introduction, The Creative Mindset I, The Creative Mindset II, Introduction to Design Thinking I, Introduction to Design Thinking II, Verganti's Inside-Out Model I, Verganti's Inside-Out Model II
Module 2 Introduction, Know Your Customer, Defining Your Customer, All about Markets, Customer Personas, Market Research Methods, Conducting Interviews, Product Design Brief
Module 3 Introduction, Defining Your CCRs: Critical Customer Requirements, Establishing Performance Measures, The Product Requirements Matrix I, The Product Requirements Matrix II, The QFD: Quality Function Deployment Matrix, Product Concept Generation I, Product Concept Generation II
Module 4 Introduction, Concept Selection, Weighted Attribute Analysis, The Career Decision Life Work Location Example, Introduction to Prototypes and Prototyping, Prototypes and Prototyping, Prototypes and the Minimum Viable Product, the MVP, Concept Selection — The Final Step
Module 5 Introduction, The White Board Challenge - I, The White Board Challenge - II, Some Terminology, Digital Prototyping Workshop
Course: Beer Quality Systems
Modules:
Course Introduction, Definitions of Quality, Formal and Informal Approaches - Part 1, Formal and Informal Approaches - Part 2
Relevant Statistics, ASBC and EBC Methods - Part 1, ASBC and EBC Methods - Part 2
Types of Measurement QA vs QC, Critical Points: HACCP, Critical Points: HARPC, Critical Points: The Cost of Quality
The Key Principles, A Reprise of Core Messages
Course: National Academy of Sports Medicine Nutrition Essentials
Modules:
Foreward, NASM Certification Exam Info
Course: Excel-Kenntnisse für Unternehmen: Grundlagen
Modules:
Woche 1 Einführung, Woche 1 Diskussion, Übungsvideo: Erste Schritte in Excel, Übungsvideo: Navigieren und Auswählen, Übungsvideo: Anzeigeoptionen, Übungsvideo: Dateneingabe, Datentypen, Bearbeiten und Löschen, Übungsvideo: Ausfüllkästchen, Woche 1 Zusammenfassung, Kopieren und Einfügen, Vorlagen
Woche 2 Einführung, Woche 2 Diskussion, Übungsvideo: Formeln, Übungsvideo: Formeln im Kontext, Übungsvideo: Funktionen I: SUMME und AUTOSUMME, Übungsvideo: Funktionen II: MITTELWERT, MIN und MAX, Diskussion: Absolute Zellreferenzen, Übungsvideo: Absolute Zellreferenzen, Übungsvideo: Arbeitsblattübergreifende Berechnungen, Woche 2 Zusammenfassung, Excel-Optionen
Woche 3 Einführung, Woche 3 Diskussion, Übungsvideo: Formatierung, Übungsvideo: Rahmenlinien, Übungsvideo: Ausrichtungstools, Übungsvideo: Format übertragen, Übungsvideo: Zahlenformate, Übungsvideo: Formatvorlagen und Designs, Woche 3 Zusammenfassung, Grafiken
Woche 4 Einführung, Woche 4 Diskussion, Übungsvideo: Zeilen und Spalten verwalten, Übungsvideo: Suchen und ersetzen, Übungsvideo: Filtern, Übungsvideo: Sortieren, Übungsvideo: Bedingte Formatierung, Woche 4 Zusammenfassung, Barrierefreiheit
Woche 5 Einführung, Woche 5 Diskussion, Übungsvideo: Druckvorschau, Übungsvideo: Orientierung, Ränder und Skalierung, Übungsvideo: Seitenumbrüche, Übungsvideo: Titel drucken, Übungsvideo: Kopf- und Fußzeilen, Woche 5 Zusammenfassung, Optionen speichern
Woche 6 Einführung, Woche 6 Diskussion, Übungsvideo: Grundlegende Diagrammtypen: Kreis-, Spalten- und Liniendiagramme, Übungsvideo: Verschieben und Ändern der Größe von Diagrammen, Übungsvideo: Ändern von Diagrammformatvorlage und -typ, Übungsvideo: Ändern von Diagrammelementen, Woche 6 Zusammenfassung, Teilen von Diagrammen
Kurs 1: Abschließende Bewertung
Course: Introduction to Responsible AI - 繁體中文
Modules:
「負責任的 AI 技術」簡介
Course: 深扣孔孟 (An Inquiry into Confucius and Mencius)
Modules:
課程說明, 1-1：引言, 1-2：孔孟論教學的目標, 1-3：儒家教學目標實踐的場域：書院, 1-4：儒家特重經典學習, 1-5：結論與啟示
2-1：引言, 2-2：東亞儒家思想中的「自我」概念, 2-3：孔孟思想中的「自我」有待於「修」與「養」, 2-4：孔孟論「自我」轉化之方法, 2-5：結論與啟示
3-1：引言, 3-2：儒家對婚姻的重視, 3-3：婚姻與家庭作為「仁」的實踐場域, 3-4：「差序格局」的展開：「愛有等差，施由親始」, 3-5：結論與啟示
4-1：引言, 4-2：「道德政治」的理論基礎及其展開, 4-3：「正名」主義及其理論涵義, 4-4：從「民本」到「民主」：「儒家民主」(Confucian democracy) 如何可能？, 4-5：結論與啟示
5-1：引言, 5-2：東亞交流史中「政治自我」與「文化自我」的張力, 5-3：孔子與孟子的抉擇：「文化認同」先於「政治認同」, 5-4：結論與啟示
6-1：引言, 6-2：孔孟論「友誼」, 6-3：孔孟論「自我」與「他者」互動原則, 6-4：結論與啟示
7-1：引言, 7-2：「克己復禮為仁」說新詮：「仁」「禮」關係重探, 7-3：東亞儒者對「克己復禮為仁」說的詮釋, 7-4：孟子〈知言養氣章〉的思想內容, 7-5：結論與啟示
8-1：引言, 8-2：孔孟生死觀及其價值理念, 8-3：孔孟與道家、佛教及基督教生死觀的對比, 8-4：孔孟對管仲個案的評論, 8-5：結論與啟示
Course: Enseñanza de las matemáticas de primaria
Modules:
Presentación del curso, Recomendaciones para el éxito
Propósito del módulo, Noción de tarea matemática escolar, ¿Cómo describir una tarea?, ¿Cómo analizar una tarea?, ¿Cómo mejorar una tarea?
Introducción, Concreción de expectativas y limitaciones de aprendizaje, Selección de tareas para la planificación de una sesión de clase, Estrategias, procedimientos y errores de la tarea 1, Estrategias, procedimientos y errores de la tarea 2, Análisis final de las tareas modificadas, Resumen
Introducción al módulo, Concreción de expectativas y limitaciones de aprendizaje. Operaciones aritméticas, Selección de tareas para la planificación de una sesión de clase, Análisis y mejora de la primera tarea seleccionada, Análisis y mejora de la segunda tarea seleccionada, Descripción de la planificación, Resumen
Introducción al módulo, Concreción de expectativas y limitaciones de aprendizaje. Números racionales, Selección de tareas. Significados y representaciones de los números racionales, Estrategias, procedimientos y errores de la tarea 1, Estrategias, procedimientos y errores de la tarea 2, Mejora de la segunda tarea, Análisis final de las tareas modificadas, Resumen
Introducción, Concreción de expectativas y limitaciones de aprendizaje, Concreción del objetivo, Selección de tareas para la planificación de una sesión de clase, Análisis de la tarea Desarrollo plano del cubo, Mejora de la tarea Desarrollo plano del cubo, Análisis de la tarea 2, Mejora de la tarea 2, Análisis final de las tareas modificadas, Resumen
Introducción, Concreción de expectativas y limitaciones de aprendizaje del tema Magnitudes y medida, Selección de tareas para la planificación de una sesión de clase, Estrategias, procedimientos y errores de la tarea 1, Análisis de la segunda tarea, Mejora de la segunda tarea, Descripción de la planificación Parte 1, Descripción de la planificación Parte 2, Resumen del módulo, Cierre del módulo
Course: Google Cloud Product Fundamentals en Español
Modules:
Bienvenido a Google Cloud Product Fundamentals
Introducción, Modernización de la infraestructura, Nubes híbridas y múltiples, Seguridad, Jerarquía de recursos y límites de confianza, Administración de identidades y accesos, Principales productos y soluciones de GCP, Procesamiento
Introducción, Patrones de cambio en la nube, Desafíos en el desarrollo de aplicaciones, App Engine, Almacenamiento de datos, Soluciones de datos de GCP, Soluciones de almacenamiento de objetos de GCP
Introducción, ¿Qué es el aprendizaje automático?, Requisitos de datos del AA, Estadísticas predictivas y decisiones recurrentes, Casos prácticos reales de AA, IA y AA con GCP
Introducción, Cómo migrar con rapidez, Cómo tomar decisiones bien fundamentadas, Cómo crear una cultura colaborativa, Impacto de G Suite
Introducción, Información básica sobre la administración de costos en la nube, Costo total de propiedad con la nube, Prácticas recomendadas para administrar costos en GCP
Resumen
Course: How to Create and Explore a Data Set
Modules:
Get Started With PsycLearn Essentials!, Metacognitive Checkpoints: Pause and Reflect on Your Learning
Introduction to APA Resources, Student Resources, APA Style®, Research, and Writing, Students from Diverse Ethnic, Cultural, and Economic Backgrounds, Psychology Help Center, Psychology Careers, Careers and Internships at APA, Other APA Resources
Organizing Your Data
Recorded Observations: Data Sets, The Heart of Statistics, Making Distinctions, Levels of Measurement
Video: Why Make a Graph, Counting: The Most Elementary Statistic
Accessing jamovi Cloud, Downloading jamovi for Desktop, Navigating jamovi, Loading and navigating a data set, How to Create a Data Set, Feedback on Your First Data Set, Bar Graphs and Histograms in jamovi
Terms and Definitions, References
Course: Exam Prep: HashiCorp Certified Terraform Associate (003)
Modules:
Introduction to Terraform, Install Terraform, How Terraform Works?
Terraform Providers, Multiple Providers, Provider Versioning, Terraform Statefile, Terraform State, Terraform DesiredState
Attributes: Introduction, Attributes - Demo, Variables: Define, Variables: Examples, Variables: Configure, Conditional Expression, Local Values, DataTypes, Map-list, Functions, Formatting
Validate - ConfigFile, Split Files, Dynamic Block, Miscellaneous Terraform Commands: Zip Function, Miscellaneous Terraform Commands: Terraform Console, Overview of Provisioners, Provisioners Configuration: Demo, Advanced Features of Provisioners, Terraform command list, EC2 - Demo, S3 - Demo, VPC - Demo
Terraform Modules Introduction, Terraform Modules: Configuration Demo, Terraform Modules: Analyze and Test Demo, Module Sources Introduction, Module Sources - Demo, Registry Modules, Registry Modules with examples, Import resources Introduction, Import resources - Demo
Remote State Management - Introduction, Remote State Management - Demo, State lock, Workspaces Introduction, Workspaces - Demo, Security - User Credentials, Security - Sensitive Information, Multiple region resource, Multiple user resource
Terraform Cloud - Introduction, Terraform Cloud - Demo, Terraform Cloud - Advanced Demo, Sentinel, CloudFormation vs Terraform
Course: Scaling with Google Cloud Operations
Modules:
Course introduction
Introduction, Fundamentals of cloud financial governance, Cloud financial governance best practices, Using the resource hierarchy to control access, Controlling cloud consumption
Introduction, Fundamentals of cloud reliability, Designing resilient infrastructure and processes, Modernizing operations by using Google Cloud, Google Cloud Customer Care, The life of a support case
Sustainability with Google Cloud
Course summary
Course: Preclinical Safety
Modules:
Course Welcome, Interview with Sukhdeep Sahambi, PCS, Introduction to Toxicology, Lessons Learned in Drug Safety, Preclinical Safety Testing
In Vivo Toxicology and Safety Studies, Basics of Safety Risk Assessment, Therapeutic Index & Quantifying Safety
Preclinical Studies Supporting Human Clinical Trials, Safety Considerations for Selecting a Human Dose, Toxicology in Phases II and III, Course Farewell
Course: GenAI for Software Engineering Teams
Modules:
Introduction to GenAI for Software Engineers, The GenAI Future-Ready Framework for Software Engineers, Ethical Concerns and Remediating Risks, Closing Thoughts: What’s Next?
Course: Programación en Python II: aprendiendo a estructurar datos
Modules:
Presentación y bienvenida
Introducción a estructuras de datos secuenciales, Listas de listas (matrices). Creación y acceso a cada elemento, Listas de listas (matrices). Recorriendo listas de listas, Tuplas
Concepto de Stack, Stacks en python, Concepto de Queue, Queue en python
Concepto de conjunto, Aplicaciones de conjunto, Operaciones del tipo set, Problemas que se resuelven con set, Concepto de diccionario, Uso de diccionario, Operaciones sobre diccionarios, Problemas resueltos con diccionarios
Tipos Propios, Uso y Atributos, Definición de Tipos Propios, Métodos en Tipos Propios, Imprimiendo Tipos Propios
Colecciones de Tipos Propios, Interacciones entre diferentes Tipos Propios, Overriding en Tipos Propios, Herencia entre Tipos Propios
Concepto de llamado recursivo, Seguimiento de una función recursiva, Definición de funciones recursivas, Resolución de un problema usando recursión
Video de cierre
Course: Cambio climático en empresas de agua y saneamiento
Modules:
0.1.1 Información importante, 0.1.2 Conoce a tus instructores
1.1.2 Efecto invernadero y cambio climático, 1.1.5 ¿Qué se entiende por crisis de agua?
2.1.1 Empresas de agua y saneamiento urbano con bajas emisiones de carbono, 2.1.8  Resumen de los 5 pasos
3.2.2 Herramienta ECAM
4.1.1 Adaptación al cambio climático, 4.1.2 Mitigación, adaptación y resiliencia, 4.1.3 Riesgos climáticos según el IPCC, 4.1.4 Acciones para reducir riesgos, 4.1.5 Metodologías para la evaluación de riesgos climáticos, 4.1.6 Metodología de evaluación del riesgo de desastres y cambio climático del BID, 4.1.8 AquaRating y análisis focalizado, 4.2.1 Evaluar riesgos climáticos: Paso 1 - Define tu sistema, 4.2.2 Paso 2 - Identificar peligros, elementos vulnerables del sistema, exposición y umbrales críticos, 4.2.3 Paso 3 - Aplicar proyecciones climáticas y desarrollar escenarios futuros, 4.2.4  Paso 4 - Analizar riesgos, 4.2.5 Paso 5 - Identificar medidas de adaptación, 4.2.6 Paso 6 - Priorizar medidas de adaptación, 4.3.2 ¡Solicita tu insignia digital!, 4.3.3 Principales lecciones del módulo 4
Course: Teaching in University Science Laboratories (Developing Best Practice)
Modules:
Introduction Module 1
Welcome to Module 2
Learning theories in practice, Johnstone's triangle summary
Welcome to Module 4, Practical work instructions (Example 1), Practical work instructions (Example 2)
Introduction to Module 5, How to develop a rubric
About module 6
Complete the course
Course: Global Postharvest Loss Prevention: Fundamentals, Technologies, and Actors
Modules:
What is Postharvest Loss and Why is it a Global Issue?
1.1. Food Insecurity: An Overview and Some Potential Solutions, 1.2. Role of Water in Food Security: Global Perspectives, 1.3. Overview of the Postharvest Supply Chain and the Role of Mechanization
2.1. Overview of Grain Harvesting: Methods, Equipment, and Losses, 2.2.1. Grain Drying: Basic Principles of Drying, 2.2.2. Grain Drying: Drying Methods, 2.2.3. Grain Cleaning: Methods and Equipment, 2.3. Grain Storage and Management, 2.4 The Economics of Postharvest Loss: Structural Issues
3.1. The Economics of Loss, 3.2.1. Asking the Most Useful Questions, 3.2.2. Tale of Two Cases: What Has Worked and What Hasn't Worked, 3.2.3. Enabling Good Decisions by Creating a Market-Like Environment, 3.3. Effective Extension for the Prevention of Postharvest Losses, 3.4. Working in Subsistence Marketplaces, 3.5. Modernizing Extension and Advisory Services, 3.6. Understanding Subsistence Marketplaces, 3.7. Designing Solutions
4.1.1. Food Security on the Modern International Agenda, 4.1.2. Trends in International Awareness of Postharvest Loss: From Kissinger to 2015, 4.2. Solving Problems as an International Community: Benefits and Challenges of Collaborating for Food Loss Reduction, 4.3. SAVE FOOD Partnership and the Community of Practice on Food Loss Reduction, 4.4. The ADM Institute Approach to Postharvest Loss Prevention
Course: Gemini for Network Engineers - 简体中文
Modules:
全新推出适用于网络工程师的 Gemini, 借助 Gemini 设计企业网络
Course: xUnit
Modules:
Introduction to the Course, Meet Your Instructor, What you will learn in this lesson, What is xUnit? - Understanding the Framework, Setting Up xUnit in Your .NET Project, Writing Your First Test in xUnit, What you will learn in this lesson, Understanding Test Classes and Test Methods, Asserts in xUnit - The Basics, Test Lifecycle in xUnit - Setup and Teardown
What you will learn in this lesson, Data-Driven Testing with [InlineData], [ClassData], and [MemberData], Handling Expected Exceptions in Tests, Testing Asynchronous Code in xUnit, What you will learn in this lesson, Organizing and Naming Your Tests, Effective Use of Assertions in xUnit, Integrating xUnit with CI/CD Pipelines (Conceptual Overview)
Course: Make the Sale: Build, Launch, and Manage E-commerce Stores
Modules:
Introduction to Course 6, Welcome to module 1, What is e-commerce?, The benefits of selling online, Henry - My career path into e-commerce, Get to know the basics of e-commerce, Jaylin - The role of an entry-level e-commerce specialist at a big company and a small business, Market research, Identify your target audience, How to do product research, Product sourcing, Branding in e-commerce, Wrap-up
Welcome to module 2, Overview of e-commerce stores, E-commerce platforms, Introduction to Shopify, Introduction to building an e-commerce store, Add products to a Shopify store, Finish setting up a Shopify store, Set up your Google Merchant Center account and link it to Shopify, Add Google and other shopping channels in Shopify, Wrap-up
Welcome to module 3, Advertise online, Advertise with Google Ads campaigns, Understand Smart Campaigns, Create a Smart Shopping campaign, Explore seasonality in e-commerce, Use Google Ads to plan for seasonality, Optimize your e-commerce marketing strategies, Wrap-up
Welcome to module 4, Create an engaging online experience for customers, Introduction to the checkout process, Common reasons for cart abandonment, Taylor - Optimize a website to improve sales, Get products to customers, Wrap-up, Course wrap-up
Course: مقدمة إلى تطوير تطبيقات الهاتف المحمول لنظام iOS
Modules:
مقدمة إلى البرنامج, مقدمة إلى الدورة التدريبية, دور مطوّر تطبيقات الهواتف المحمولة, يوم في حياة مطور iOS, إعداد Xcode, ما تطبيق الهاتف المحمول؟, تطبيقات الهواتف المحمولة في Meta, ما نوع الوظائف المتاحة في مجال تطوير iOS؟, لغات برمجة iOS: مقارنة بين لغتي البرمجة Objective-C وSwift, قوالب المشروع, iOS Xcode: ألقِ نظرة, بدء مشروع, تركيبة تطبيق iOS, ملخص الوحدة: مقدمة إلى تطوير تطبيقات الهاتف المحمول
ما المقصود بأداة المحاكاة؟, بدء تشغيل أداة محاكاة, إصدارات نظام تشغيل أداة المحاكاة, أدوات محاكاة أجهزة iOS, بنية المشروع, فئة المشروع الرئيسية, نظام إنشاء Xcode, iOS info.plist, مجلد الموارد, فحص ملف المشروع, ملخص الوحدة: المحاكاة والتطوير
جمع المتطلبات, اختيار النموذج واقتراح المشروع, بدء المشروع, إعداد الشاشة, العثور على الأصول, عمليات الاستيراد المطلوبة, Swift: المصطلحات البسيطة, إنشاء المشغّل, ملخص الوحدة: إنشاء التطبيق, ملخص الدورة: تطوير تطبيقات الهاتف المحمول لنظام iOS, تهانينا!
Course: Data Wrangling with Python Project
Modules:
Assessment Strategy, Data Wrangling Pipeline, Data Wrangling Project Outline
Scope and Objectives, Identify the Sources, Understand the Sources
Data Collection, Data Validation, Data Integration
Data Statistical Understanding, Data Visualization, Exploratory Data Analysis
Missing Values, Outliers, Sampling, Dimension Elimination, Scaling, Discretization, Data Cube, Pivot Table, Congratulations!
Course: Data Processing with Azure
Modules:
Course Introduction
1.1 Batch Processing with Databricks and Data Factory in Azure, 1.2 - ELT Processing using Azure, 1.3 - Databricks and Azure Spark, 1.4 Transform Data using Databricks in ADF, 1.5 Use Case: ADF and Spark
Pipelines and Activities - Introduction, Processing using a Pipeline, Analyzing Logs for an HDInsight Cluster, Using Azure Blob Storage within HDInsight
Link Services and Datasets - Introduction, Identifying Pipelines for a Data Factory, Data Stores and Azure Blob Storage, Linked Service and Connecting Data Factory to External Resources, Processing Input Blobs with Azure Data Factory
Schedules and Triggers - Introduction, Creating a Trigger that Runs a Pipeline on a Schedule, Scheduling a Trigger in Azure Data Factory, Pipeline Execution and Triggers in ADF, Use Case: Azure Schedule, Trigger, and Events
Selecting Windowing Functions - Introduction, How Stream Analytics Support Native Windowing Functions, Temporal Windows, Using Window Functions in the GROUP BY Clause, Aggregating Events over Multiple Windows using WindowsQ
How Stream Analytics Relate to Data Solutions, Generate Sample Call Data and Send it to Event Hubs, Creating a Stream Analytics Job, Configuring Job Input and Output, Define a Query to Filter Fraudulent Calls, Test and Start the Job, Visualize Results in Power BI
ELT vs ETL in PolyBase - Introduction, How SQL Data Warehouse in Microsoft Offers ELT Solutions, Loading Methods using Non-PolyBase Options, Use Case: A Deeper Dive into ETL Processing
Course: Google Cloud Customer Care Fundamentals - Italiano
Modules:
Introduzione al corso
Introduzione all'assistenza clienti Google Cloud, Sanificazione dei dati di log
Presentazione di una richiesta di assistenza, Risoluzione dei problemi e indagine, Riassegnazione della richiesta
Risoluzione della richiesta
Course: Plagues, Witches, and War: The Worlds of Historical Fiction
Modules:
Professor Holsinger Provides an overview of "Plagues, Witches, and War", How to Get the Most out of this Course
Defining the Genre, The Pre-History of Historical Fiction, From Archive to Novel, Differentiating fiction and history in the 18th and 19th century, A look at Sir Walter Scott and work of the 18th century, The global reach of the historical fiction genre
Introduction of Jane Alison, Using characters to set the set the historical context, An indepth look at the characters and story, Some challenges in historical fiction writing
Cooper's Leatherstocking Tales: Fiction on the Frontier, Cooper's Leatherstocking Tales (continued), Brown's "Clotel": Slavery, Fiction, and a Founding Father, Dickens and the French Revolution: "A Tale of Two Cities"
Anna Katharine Green and the Invention of the Historical Mystery Pt. I, Anna Katharine Green and the Invention of the Historical Mystery Pt. II, Modernism, Metafiction, and the Mass Market, 1920-1980, The New Historical Novel in Latin America Pt. I, The New Historical Novel in Latin America Pt. II
Professor Holsinger introduces Katherine Howe, Katherine Howe discusses "Deliverance Dane", Katherine Howe dives into her characters and their historical traits, Katherine Howe session wrap up
Professor Holsinger introduces Geraldine Brooks, Geraldine Brooks discusses the balance of the research and the evolution of the story, Geraldine Brooks discusses the evolution of the characters and story, Geraldine Brooks session wrap up
Professor Holsinger introduces Mary Beth Keane, Mary Beth Keane discusses the evolution of characters, Mary Beth Keane discusses integrating historical features, Mary Beth Keane session wrap up
Professor Holsinger introduces Yangsze Choo, Yangsze Choo discusses selecting the point of view for your characters, Yangsze Choo discusses the idea of parallel worlds and making decisions about the direction of your story, Yangsze Choo session wrap up
Michael McKeon and Bruce Holsinger discuss what it meant to be writing historical fiction in the 18th century, Eva Stachniak and Bruce Holsinger discuss the context of historical fiction in their writing, David Robbins and Bruce Holsinger discuss revealing characters through historical events, Matthew Pearl and Bruce Holsinger discussing writing within the genre of historical fiction, Andrew Taylor and Bruce Holsinger discussing writing in relation to the history of historical fiction
Wrap-up with Professor Holsinger
Readings, Archives Primary Sources, Visiting Authors and Scholars
Course: Innovation Management
Modules:
Welcome!, Introduction to this week, Value of innovation, Paradoxes of innovation, Innovation space, Summary
Introduction, Innovation strategy, Bonus: Interview with Frans van Houten (CEO of Philips), Crafting an innovation strategy, Bonus: Three myths about innovation strategy, Ecosystems, Ecosystems and networks, Competitions between ecosystems, Bonus: Standardization, Summary
Introduction, Defining creativity, Individual creativity, Enhancing individual creativity, Brainstorming, Design thinking, Summary
Introduction, Idea selection, Selecting ideas strategically, Evaluating ideas, Evaluation biases, Summary
Introduction, Innovation funnel, Stage-gate model, Lean innovation, Comparing stage gate and lean, Summary
Introduction, Innovation team structures, Agility, Organizing innovation, Leadership for innovation, Bonus: Pitching innovation, Group diversity, Biases in recognizing creative individuals, Summary
Course: Risk governance: Manage the risks
Modules:
Course welcome and introduction, Week 1 outline, Video 1.1 Introducing risk management, Video 1.2a The risk management process, Video 1.3a Behavioural bias: Overconfidence (Do trivia quiz before watching this video)
Week 2 outline, Video 2.1a Introducing Larry's Luxury Food and Wine, Video 2.1b Risk assessment: Identifying risk, Video 2.2a Looking at historical data, Video 2.2b Risk analysis and evaluation with Monte Carlo simulation, Video 2.2c Log returns for beginners
Week 3 outline, Video 3.1 Incentive conflicts, Video 3.2 Board influence, Video 3.3 Shareholder influence
Week 4 outline, Video 4.1a Treatment: Capital structure, Video 4.1b Treatment: Operational strategies, Video 4.2a Risk governance, Video 4.2b Three lines of defence
Week 5 outline, Video 5.1a Root cause analysis, Video 5.1b Analysing risk events, Video 5.2 Subjective risk assessment
Week 6 outline, Video 6.1 Workplace misconduct: Individual factors, Video 6.2a Workplace environment and misconduct, Video 6.3 A practical approach to misconduct, Course wrap-up
Course: Architecting in AWS
Modules:
Overview of Well-Architected Framework, Pillars of Well-Architected Framework, Well-Architected Framework Lens, Well-Architected Framework Tools, DEMO: Well-Architected Framework Tools
Overview of Disaster Recovery, Designing Disaster Recovery System, CloudEndure Disaster Recovery, Overview of Troubleshooting, CASE STUDY: Fast.com, CASE STUDY: Mywordpress.com, CASE STUDY: Myclothes.com, Exam Overview, Exam Content Review, Course online
Course: 崑曲之美
Modules:
課程介紹（白先勇教授）
一、崑曲的源流, 二、晚明清初的崑曲盛況, 三、清中葉的花雅爭勝, 四、崑曲在二十世紀初的「死亡」, 五、崑劇傳習所的創立, 六、《十五貫》：一齣戲救活一個劇種, 七、從職業崑劇團到青春版《牡丹亭》
一、晚明經濟發展與社會風氣的改變, 二、晚明思潮與湯顯祖的「臨川四夢」, 三、《牡丹亭》的文學思想, 四、從案頭到場上：《牡丹亭 ‧ 遊園 ‧ 驚夢》
一、以歌舞呈現詩的意境, 二、影響《牡丹亭》的抒情詩傳統：《詩經》, 三、影響《牡丹亭》的抒情詩傳統：唐詩宋詞, 四、《牡丹亭》：高舉「情」的旗幟, 五、《牡丹亭．遊園．驚夢》情節概述, 六、《牡丹亭．遊園》：滿園春色的觸動, 七、《牡丹亭．驚夢》：生旦的雙人舞
一、崑腔音樂的起源, 二、明中葉魏良輔對崑山腔的改革, 三、曲牌體：崑曲音樂的結構, 四、崑曲演唱的要點：識字、四呼五音, 五、崑唱藝術的境界
一、巾生與小官生的比較, 二、巾生的唱念, 三、巾生的步法與手法, 四、《玉簪記．琴挑》：手眼身步的結合, 五、《牧羊記．望鄉》：小官生的表演, 六、化用各種生行行當以塑造人物, 《西樓記．樓會》的巾生表演講解及示範（收於《春色如許：崑曲、粵劇與中國文化》影碟）
一、大官生：崑曲獨有的行當, 二、《長生殿 · 迎像 · 哭像》：大官生的唱功戲, 三、窮生：行當藝術的特點, 四、《綵樓記 · 評雪辨蹤》：窮生表演講解及示範
一、旦的不同行當, 二、《牡丹亭．尋夢》：少女心情的體現, 三、《牡丹亭．尋夢》：遍尋不獲的失落, 四、《琵琶記．吃糠》：正旦表演講解及示範, 《琵琶記．吃糠》 演出選段（梁谷音、計鎮華、張銘榮）
一、《孽海記．思凡》：轉益多師, 二、《孽海記．思凡》：掌握表演重點「見幾個」與「念幾聲」, 三、《孽海記．思凡》：連表演帶歌舞的「數羅漢」與小尼姑下山, 四、《潘金蓮》：整舊為新，不褒不貶, 五、《潘金蓮》：破格之媚, 六、《潘金蓮》：破格之辣, 七、《爛柯山．潑水》：破格之形與破格之神, 八、《西遊記．借扇》：以滿臺載歌載舞表現喜怒哀樂, 九、《西遊記．借扇》：文武雙全的重頭戲, 十、《西遊記．借扇》：別開生面的「鬧肚」
一、《單刀會．刀會》：關公的臉譜與裝扮, 二、《單刀會．刀會》：髯口及眼神的應用, 三、《單刀會．刀會》：唱腔的表現, 四、《單刀會．刀會》：念白的重要, 五、《單刀會．刀會》：關公的身段與臉部表演
一、末的分類及特點：正生、末、外, 二、「聲形」與末行角色的塑造：詞中有意，意中有藝, 三、《長生殿．彈詞》：【九轉貨郎兒】的音樂結構, 四、《長生殿．彈詞》：【九轉貨郎兒】之【六轉】、【七轉】示範
一、丑的分類與特點：副與丑, 二、《孽海記．下山》與《南西廂．遊殿》：兩個和尚的【賞宮花】, 三、《雁翎甲．盗甲》：武丑的看家戲, 四、《雁翎甲．盜甲》：武戲文唱，技藝交融, 《艷雲亭．癡訴點香》中崑丑的盲人表演, 〈時遷偷雞〉中的吞火表演
一、崑曲與中國傳統美學, 二、青春版《牡丹亭》：表演藝術傳承, 三、青春版《牡丹亭》：服裝與舞美的創新, 四、新版《玉簪記》：書畫融合與回歸雅部
Course: دليل الاستثمار | Investment Guide
Modules:
مفهوم الــ (Investment), المصادر المستخدمة في تمويل الـ (Investment), وظيفة وأنواع الأسواق المالية (Financial Markets), الوسطاء الماليون (Financial Intermediaries), الأدوات المالية (Financial Instruments) وأنواعها ومخاطرها, أفضل الـ (Financial Instruments), كيفية عمل الـ (Financial Analysis) - الجزء الأول, كيفية عمل الـ (Financial Analysis) - الجزء الثاني, كيفية حساب الـ (Return and Risk), الخاتمة
Course: Getting Started with Application Development - Español
Modules:
Bienvenida a la serie de cursos, Temas abordados en la serie de cursos, Bienvenida al curso
Puertas de enlace de API y microservicios con acoplamiento bajo, Seguridad, confiabilidad y migración
Introducción al desarrollo con Google Cloud, Lab Configura un entorno de desarrollo, Coursera: Empezar a usar Google Cloud y Qwiklabs, Revisión del módulo
Cloud Storage, Datastore, Cloud Bigtable, Cloud SQL y Cloud Spanner, BigQuery, imágenes de Microsoft SQL Server en Google Cloud y opciones de Firebase Storage, Demostración: Conexión segura a una base de datos de Cloud SQL, Revisión del módulo
Índices y conceptos de Datastore, Demostración: Exploración de Cloud Datastore, Consideraciones y fragmentación de los diseños, Replicación, tipos de consultas, transacciones y manejo de errores, Demostración: Carga masiva de datos de Datastore desde Cloud Storage, Descripción general del lab, Revisión del módulo
Realiza operaciones en buckets y objetos, Operaciones en buckets/objetos y retirada exponencial truncada, Demostración: Habilita la configuración de CORS en Cloud Storage, Prácticas recomendadas para usar Cloud Storage (parte 1), Prácticas recomendadas para usar Cloud Storage (parte 2), Descripción general del lab, Revisión del módulo
Conclusión del curso
Course: Machine Learning in the Enterprise
Modules:
Course introduction
Introduction, Overview of an ML enterprise workflow
Introduction, Feature Store, Data Catalog, Dataplex, Analytics Hub, Data preprocessing options, Dataprep, Lab intro: Exploring and Creating an Ecommerce Analytics Pipeline with Dataprep, Coursera: Getting Started with Google Cloud and Qwiklabs
Introduction, The art and science of machine learning, Make training faster, When to use custom training, Training requirements and dependencies (part 1), Training requirements and dependencies (part 2), Training custom ML models using Vertex AI
Introduction, Vertex AI Vizier hyperparameter tuning, Lab intro: Vertex AI: Hyperparameter Tuning
Introduction, Predictions using Vertex AI, Model management using Vertex AI, Lab intro: Monitoring Vertex AI Models
Introduction, Prediction using Vertex AI pipelines, Lab intro: Vertex AI Pipelines
Introduction, Best practices for model deployment and serving, Best practices for model monitoring, Vertex AI pipeline best practices, Best practices for artifact organization
Summary, Resource: All quiz questions, Resources: All readings, Resource: All slides
Series summary
Course: Managing Stress and Time
Modules:
Welcome to Managing Stress and Time!, Check Your Knowledge
Practice the solution: Managing your time effectively, Infographic: Inventory your time, Keeping track of time: Key takeaways
Practice the solution: Addressing immediate stressors, Infographic: Breathing exercise, Infographic: HALT your stress, Tackling stress here and now: Key takeaways
Practice the solution: Reducing long-term or daily stress, Infographic: Setting boundaries, Changes for the long haul: Key takeaways
Final Thoughts
Course: Intellectual Humility: Science
Modules:
Trailer - Intellectual Humility: Science
Ian introduces Module 1, Introduction, Learning and explanation, Inconsistency, explanation and belief revision, Implications for child education
Ian introduces Module 2, Introduction, Humility, arrogance, and base rate neglect, Developmental over-optimism, The illusion of explanatory depth, Illusions of argument justification and insight, Illusions of the outsourced mind
Ian introduces Module 3, Open-minded cognition, Open-minded cognition: relations with other constructs, The flexible merit standard model, Message tenability effect, The reciprocal nature of open-minded cognition, The earned dogmatism effect, The attitude justification effect, Concluding remarks
Ian introduces Module 4, Why not intellectualise?, Towards engagement: seeing the other as a person, Towards engagement: being involved, Towards engagement: not focusing on the self, Towards engagement: Dialogue, value and difference, An exploratory study, Conclusions
Show what you learned by editing the Wikipedia entry on intellectual humility!, A brief How-To, TRAILER: Intellectual Humility: Theory, TRAILER: Intellectual Humility: Practice, Post-Course Survey
Course: Major Depression in the Population: A Public Health Approach
Modules:
An Introduction to Major Depression
Lecture 1A: What is Depression?, Lecture 1B: Prevalence and Incidence of Major Depressive Episode, Lecture 1C: The Natural History of Major Depressive Disorder, Lecture 1D: Major Depressive Disorder and Medical Conditions, Lecture 1E: Estimating the Burden of Major Depressive Disorder and Medical Conditions
Lecture 2A: Does Depression Look the Same Across the World?, Lecture 2B: Is Depression Relevant in Low- and Middle-Income Countries?, Lecture 2C: What Predicts Depression in Low- and Middle-Income Countries?, Lecture 2D: How Can We Treat & Prevent Depression in Low- and Middle-Income Countries?
Lecture 3A: What Is Epidemiology, Lecture 3B: Time, Space, and Disease: The Ecological Approach, Lecture 3C: Cohort Studies, Lecture 3D: Case Control Studies, Lecture 3E: The Web of Causation
Lecture 4A: Inheritance, Lecture 4B: Stress & Diathesis, Lecture 4C: Social Supports, Lecture 4D: Work, Family, and Life Stage, Lecture 4E: Recency of Birth
Refugee Health Assignment, Solvit Assignment
Lecture 5A: Patterns of Service Use, Lecture 5B: Barriers and Solutions, Lecture 6A: Historical Development and Recent Trends, Lecture 6B: Quality of Diagnosis & Treatment
Final Assignment: DepressionCare
Course: Electrical Characterization: Diodes
Modules:
Introduction to This Course
2.1.1: Current-Voltage Characteristics, 2.1.2: Resistivity, 2.1.3: Sheet Resistance
2.2.1 Resistance Measurements, 2.2.2 Four-point Probes
2.3.1: Contact Resistance, 2.3.2: Transfer Length Method
2.4 Diode Series Resistance and Ideality Factor
2.5.1: Project Solution: Poly-Si Blocks
Course: From the Big Bang to Dark Energy
Modules:
Course Preview, Introduction, 1-1 Night and Day, and Four Seasons, 1-2 Revolution of the Earth, 1-3 Why Elliptic?, 1-4 Why Does Everything Fall the Same Way?, 1-5 Beginning of the Universe Look Far into the Past I, 1-6 Beginning of the Universe Look Far into the Past II, 1-7 Beginning of the Universe Look Far into the Past III, 1-8 Beginning of the Universe Look Far into the Past IV, 1-9 Beginning of the Universe Look Far into the Past V, 1-10 Cosmic Expansion
2-1 Birth of Elements I, 2-2 Birth of Elements II, 2-3 Birth of Elements III, 2-4 Birth of Elements IV, 2-5 Birth of Elements V, 2-6 Higgs Boson Frozen into the Universe I, 2-7 Higgs Boson Frozen into the Universe II, 2-8 Higgs Boson Frozen into the Universe III, 2-9 Higgs Boson Frozen into the Universe IV
3-1 Power Spectrum, 3-2 Dark Matter I, 3-3 Dark Matter II, 3-4 Nature of Dark Matter I, 3-5 Nature of Dark Matter II, 3-6 Neutrinos and Anti-Matter I, 3-7 Neutrinos and Anti-Matter II, 3-8 Neutrinos and Anti-Matter III
4-1 Inflation and Uncertainty Principle I (Inflation), 4-2 Inflation and Uncertainty Principle II (Uncertainty Principle I ), 4-3 Inflation and Uncertainty Principle III (Uncertainty Principle II ), 4-4 Fate of the Universe, 4-5 Dark Energy, 4-6 Big Rip, 4-7 Future Observations, 4-8 Wrap-up, Extra Lecture 1 Theoretical Discovery of Higgs Boson, Extra Lecture 2-1 Discovery of Neutrino Oscillations and Neutrino Mass I, Extra Lecture 2-2 Discovery of Neutrino Oscillations and Neutrino Mass II, Extra Lecture 3-1 Discovery of Gravitational Waves I, Extra Lecture 3-2 Discovery of Gravitational Waves II, Extra Lecture 3-3 Discovery of Gravitational Waves III, Extra Lecture 3-4 Discovery of Gravitational Waves IV, Extra Lecture 4-1 Theoretical Foundation of Black Hole, Extra Lecture 4-2 Observational Evidence of Black Hole
Course: Data Storytelling
Modules:
Creating Scatter Plots in Tableau, Creating Correlations in Tableau
Human-Centered Design Strategies for Creating Visualizations, Creating Histograms in Tableau, Creating Heatmaps in Tableau, Creating Box Plots in Tableau
Drawing Inferences
Ethics, Deception, and Fallacies, Deceptive Charts, Underlying Data Issues, S​upplemental Resources
Course: Fundamentals of Audio and Music Engineering: Part 1 Musical Sound & Electronics
Modules:
Rob Clark Introduction, Oscillations in Space and Time, Time and Frequency Domain Representations of Sound, Auditory Perception and Sound Localization, Acoustic Resonance: Helmholtz Resonators, Acoustic Resonance: Loudspeakers, Electrical Charge and Current, Electric Fields and Electric Potential, Electrical Circuits: Kirchoff's Voltage Law, Electrical Circuits: Voltage Dividers, Volume Control and Loudness Perception, Electrical Circuits: Kirchoff's Current Law, Electrical Circuits: Nodal Analysis
Resonant Modes of a String, Effects of String Parameters on Resonant Modes, Resonant Modes in a Room, Resonant Modes in a Duct, Reverberation and Room Acoustics, Power and Energy, Power and Energy Dissipation in Circuits, Real Voltage and Current Sources, Impedence Matching Derivation, Ideal and Real Current Sources, Operational Amplifiers, Using the OP AMP as a voltage follower, Inverting OP AMP Configuration
Derivatives, Mathematics: Sample Derivatives and Rules?, The Number e; Derivatives of sin and cos, Simple Harmonic Oscillator, Complex Numbers and Arithmetic, Complex Exponentials and Eulers Formula, Phasors, Capacitors, Transient Analysis of an RC Circuit, Frequency Response of an RC Circuit, Inductors, Transient Response of an RL Circuit, RL Lowpass and Highpass Circuits, Phasors in AC Circuit Analysis, Generalized Impedance, Circuit Analysis Example, Impedance Analysis of RL Circuit, Filters as Frequency Dependant Voltage Dividers
Fourier Series of a Square Wave, Fourier Series of a Triangle Wave, Overtone Spectrums and Fourier Series, Graphical Interpretation of Fourier Series Integrals, Spectral Analysis, Spectral Analysis Examples, Filters applied to Frequency spectra, Construction of a Guitar Pickup, Electrical Model of a Guitar Pickup, Guitar Pickup Analysis Continued (wr Q), Frequency Response of a Guitar Pickup, Loudspeaker Radiation and Directionality, Loudspeaker Radiation, Continued, Electromechanical Model of a Loudspeaker, Loudspeaker and Transducer Parameters
General Guidelines, Closed Box Design, Design Tools and Conclusions, Model of a Ported Loudspeaker, Design of Loudspeaker Port, Design Tradeoffs, Port Design Parameters, Comparison of Closed Box and Ported Designs
Volume and Tone Control, Tone Control and Pickup Analysis, Tone Control and Pickup Analysis, Continued, RLC Bandpass Filters, Graphic Equalizers and Octave Filter Banks, Graphic Equalizer Simulation, Wah Pedal Circuit Analysis, Wah Pedal Circuit Analysis, Continued, Design Overview and Tone Control Analysis, Tone Control Analysis Continued, Distortion Stage Analysis, Distortion Stage Analysis, Continued, Cabinet Design for the Guitar Amplifier, Practical Considerations in Constructing the Amplifier
Course: Creativity, Innovation and Transformation
Modules:
Introduction to IFF, Idea Journal, Wild Mind, Mind Warping, 8th Muda, Life as Continuing Experiment, Bold Acts of Defiance Exercise, Change, Shoe Tower Assignment
Introduction, Creative diversity, Creative Style Estimation Exercise, Creative Divergence, Ideation Evaluation Techniques, The Paradox of Structure, Critical Problem Solving Process, SAP Design Thinking Jam, Creative Diversity Application
Character, Entrepreneurship, OwNership, Tenacity, Excellence, Relationships, Life Ring Assignment
Introduction to Transformation, Importance of Play, Dynamic Tricky Mix, Dark Nights, VUCA, Innovation as a Moral Imperative, Happy Accidents
Course: Aruba CX 10000 Switching Basics
Modules:
AOS-CX 10000 Overview
Managing network service with Aruba Fabric Composer
Managing security with Aruba Fabric Composer and Policy Services Manager
Network Monitoring
Support and resources