dipopotamus/custom_instruct_coursera_course_module_list huggingface dataset:
Course: Machine Learning with Apache Spark
Modules:
Course Introduction, Introduction to Machine Learning for Everyone, Role of Data Engineering in Machine Learning, Machine Learning Model Lifecycle, Supervised vs Unsupervised Learning, Regression, Classification, Evaluating Machine Learning Models, Clustering, Generative AI Overview and Use Cases, Generative AI Applications
Spark for Data Engineers, Regression using SparkML, Classification using SparkML, Clustering using SparkML, GraphFrames on Apache Spark
Spark SQL, ETL Workloads, Spark Structured Streaming, Feature Extraction and Transformation, Machine Learning Pipelines using Spark, Model Persistence
Practice Project Overview, Final Project Overview, Congratulations and Next Steps, Thanks from the Course Team
Course: Aeroecology: Exploring Biodiversity with Radar
Modules:
The story of how a military technology produced surprising scientific applications, How does radar work?, What is the current state of the art in radar science?, Investigating biodiversity trends, Introduction to biodiversity methods, How can radar measure and monitor biodiversity?, What biodiversity can the radar visualise?, What biodiversity can radar not visualise?
Why is diversity important?, Introduction to the classification of “bioscatterers”, Taxonomic limits of radar, Why is abundance important?, Introduction to the quantification of “bioscatterers”, How might aeroecology transform biological and agricultural research?, A critical reflection on aeroecology
Course: Работа с базами данных в Python
Modules:
Добро пожаловать на курс «Работа с базами данных в Python», Символы и строки формата Unicode, Windows 10. Установка Python и написание программы, Windows. Создание скриншотов, Macintosh. Использование Python и создание программы, Macintosh. Создание скриншотов, 14.1. Принципы и терминология объектно-ориентированного подхода, 14.2. Создание нашего первого класса и объекта, 14.3. Жизненный цикл объекта, 14.4. Наследование объектов, Бонус: интервью с Бертраном Мейером (Bertrand Meyer) «Разработка программного обеспечения», Бонус: часы приема в офисе в Лондоне
15.1. Реляционные базы данных, 15.2. Работа с базами данных, 15.3. Применение операций CRUD к отдельной таблице, Пример: подсчет адресов электронной почты в базе данных, Бонус: часы приема в Загребе, Хорватия, Интервью: Элизабет Фонг (Elizabeth Fong) «Первые годы SQL», Пример: Twspider.py (раздел 15)
15.4. Проектирование модели данных, 15.5. Представление модели данных в виде таблиц, 15.6. Добавление данных в реляционную БД, 15.7 . Преобразование данных командой JOIN, Пример: Tracks.py (раздел 15), Бонус: Часы приема в Перте, Австралия, Бонусное интервью: Никлаус Вирт (Niklaus Wirth), Бонус: часы приема в Барселоне
15.8. Связи «многий ко многим», Пример: roster.py (раздел 15), Бонус: часы приема в Мехико, Бонусное интервью: Эндрю Танненбаум (Andrew Tannenbaum), компания Minix, Пример: Twfriends.py (раздел 15)
16.1. Геокодирование, 16.2. Визуализация данных геокодирования, Пример: Geodata.py (раздел 16), Бонус: часы приема в Амстердаме, Бонусное интервью: Ричард Столлмэн (Richard Stallman), Фонд бесплатного программного обеспечения, Бонусное интервью: Брайан Бехлендорф (Brian Behlendorf), Фонд Apache
Course: Google Cloud Fundamentals: Core Infrastructure - Polski
Modules:
Wprowadzenie do szkolenia
Omówienie usług w chmurze, IaaS i PaaS, Sieć Google Cloud, Wpływ na środowisko, Bezpieczeństwo, Ekosystemy open source, Ceny i płatności
Hierarchia zasobów Google Cloud, Identity and Access Management (uprawnienia), Konta usługi, Cloud Identity, Interakcje z Google Cloud, Coursera: Pierwsze kroki z Google Cloud Platform i Qwiklabs
Zarządzanie siecią prywatnego środowiska wirtualnego w chmurze, Compute Engine, Skalowanie maszyn wirtualnych, Ważne funkcje zapewniające zgodność VPC, Cloud Load Balancing, Cloud DNS i Cloud CDN, Łączenie sieci z VPC Google
Opcje pamięci masowej w Google Cloud, Cloud Storage, Cloud Storage: klasy pamięci masowej i przesyłanie danych, Cloud SQL, Cloud Spanner, Firestore, Bigtable, Porównywanie opcji pamięci masowej
Wprowadzenie do kontenerów, Kubernetes, Google Kubernetes Engine
Cloud Run, Programowanie w chmurze
Podsumowanie szkolenia
Course: Health Across the Gender Spectrum
Modules:
Course Introduction, "Don't Give Up", What is the Difference Between Sex Assigned at Birth and Gender Identity?, "You Amaze Me Every Day", What is the Difference Between Gender Identity and Sexual Orientation?, Ben Barres: "It's No Longer Necessary to Live in the Closet"
What are the Gender-Affirming Management Options for Transgender Individuals?, "I Wouldn't Ask for Any Other Child", How is Transgender Classified in Medicine?, "It's Got to Be OK", What is a Non-Binary Gender Identity?, "Who Doesn't Want to Be Heard?"
How to Create Gender-Inclusive Healthcare Settings, "Hold Space for Your Child", How to Create Gender-Inclusive Classroom Settings, "This is Real", Alice Lyman Miller: "You've Only Got One Life", Why Is Social Support So Important for Transgender Individuals?, "What is a Girl?"
Course: Primary and Secondary Batteries
Modules:
Specialization Introduction, Course Introduction
Chapter 1: Defining Batteries and Cell Components, Chapter 2: Operating Principles, Chapter 3: Primary and Secondary Batteries, Chapter 4: Electrochemical Equivalents, Chapter 5: Solving Problems: Calculating Currents, Chapter 6: Theoretical and Practical Energy, Chapter 7: Moore's Law, Chapter 8: Review of Battery Systems
Chapter 1: Electrochemical Principles, Chapter 2: Cell Potential, Chapter 3: Solving Problems: Calculating Cell Potential, Chapter 4: Nernst Equation, Chapter 5: Cell Voltage Variation, Chapter 6: Solving Problems: Calculating Cell Voltage, Chapter 7: Defining C-Rate and Battery Life, Chapter 8: Factors Affecting Battery Lifespan: Environmental and Temperature, Chapter 9: Factors Affecting Battery Lifespan: Depth of Discharge, Chapter 10: Factors Affecting Battery Lifespan: Charge Voltage, Chapter 11: Factors Affecting Battery Lifespan: SOC, Chapter 12: Factors Affecting Battery Lifespan: C-Rate, Chapter 13: Selection of Battery
Chapter 1: Application and Market Overview, Chapter 2: Major Battery Applications, Chapter 3: Market Share of Various Batteries, Chapter 4: Energy Storage: Grid Scale, Chapter 5: Committing to EV Future, Chapter 6: Battery Pricing, Chapter 7: Goals of Battery Standards, Chapter 8: Performance and Safety Standards, Chapter 9: National Standards, Chapter 10: Battery Pack Standards, Chapter 11: Battery Labels and Sizes
Course: 東亞儒學：孟子二 (East Asian Confucianisms: Mencius(2))
Modules:
課程宣傳片 （promotion video), 1-1引言, 1-2 荀子對孟子的批判, 1-3 孟子後學對孟子思想的繁衍與拓展, 1-4 漢唐時代的孟子學：政治脈絡中的解讀, 1-5 結論 中國文化中政治權力與經典解釋的互動
2-1 引言, 2-2 宋代孟子學興起的歷史背景, 2-3 宋代知識分子關於孟子的爭議, 2-4 朱子對孟子思想的解釋, 2-5 結論
3-1 引言, 3-2 孟子 <知言養氣章> 的思想內容, 3-3 朱子對「知言養氣」章的詮釋, 3-4 朱子「知言養氣」章在東亞引起的回響, 3-5 結論
4-1 引言, 4-2 明代的政治與學術, 4-3 王陽明生平, 4-4 王陽明思想中的孟子學, 4-5 王陽明對孟子思想的解釋, 4-6 王陽明的孟子詮釋學的「言後之意」, 4-7 結論
5-1 引言, 5-2 18世紀的世界與中國, 5-3 十八世紀東亞儒學的同調（一）通過反朱子學而反形上學, 5-4 十八世紀東亞儒學的同調（二）在「存在」中探索「本質」, 5-5 戴震對《孟子》的新閱讀, 5-6 中西思潮激盪下的《孟子》一 康有為的詮釋, 5-7 結論
6-1 引言, 6-2 孟子思想的特質, 6-3 孟子的「王道政治論」, 6-4 孟子思想中的「公」與「私」, 6-5 孟子的教育思想, 6-6 結論
第 7 講 知言養氣
Course: Introduction to Data Networks and the Internet - Master's
Modules:
Course Overview, Instructor Welcome, Module 1 Overview, Lesson 1.1: Networks Defined, Lesson 1.2: Network Mediums, Lesson 1.3: Best Practices and Considerations in Real Life
Module 2 Overview, Lesson 2.1: OSI Model & TCP Model, Lesson 2.2: Switching - Layer 2, Lesson 2.3: Routing - Layer 3, Lesson 2.4: Best Practices and Considerations in Real Life
Module 3 Overview, Lesson 3.1: Configuring Wired Network Devices, Lesson 3.2: Switches, Routers, and Device Overview, Lesson 3.3: Wireless Network Concepts, Lesson 3.4: WiFi Devices, Access points, and POE, Lesson 3.5: Best Practices and Considerations in Real Life
Module 4 Overview, Lesson 4.1: Protocols, Lesson 4.2: Network Segmentation, Lesson 4.3: Best Practices and Considerations in Real Life
Module 5 Overview, Lesson 5.1: Defining Basic Security Principles, Lesson 5.2: Common Threats and Vulnerabilities, Lesson 5.3: Security Controls for Networks, Lesson 5.4: Best Practices and Considerations in Real Life
Module 6 Overview, Lesson 6.1: Capturing Network Traffic, Lesson 6.2: Network Monitoring Concepts, Lesson 6.3: Best Practices and Considerations in Real Life
Module 7 Overview, Lesson 7.1: Troubleshooting Methodology, Lesson 7.2: Upper OSI Layer Issues, Lesson 7.3: Best Practice and Considerations in Real Life
Module 8 Overview, Lesson 8.1: Software Defined Networking, Lesson 8.2: Cloud Networking Concepts, Lesson 8.3: Best Practices and Considerations in Real Life
Course Summative Assessment
Course: Introduction to Cybersecurity Tools & Cyberattacks
Modules:
Course Introduction, The Impact of the WarGames Movie on Cybersecurity, The Impact of 9/11 on Cybersecurity, The Impact of COVID-19 on Cybersecurity, Critical Thinking in Cybersecurity, Critical Thinking Model, Critical Thinking: 5 Key Skills
Types of Actors and Their Motives, Cybersecurity Trends, What is Malware? Let's Hear the Hacker's Viewpoint, What is Ransomware?, How to Prevent Malware Attacks, Social Engineering - How Bad Guys Hack Users, What is Phishing?, Humans vs. AI Who's Better at Phishing?
Internet Security Threats: Mapping, Internet Security Threats: Packet Sniffing, Internet Security Threats: IP Spoofing, Internet Security Threats: Denial-of-Service Attacks, Internet Security Threats: Injection Attacks, Security Controls, System Security, Network Security, Application Security by Design, Vulnerability Management, Incident Response and Digital Forensics
Identity and Access Management (IAM), Authentication, Authorization, Access Controls, What is Multifactor Authentication?, What is Single Sign-On (SSO)?, Passkeys FIDO, Physical Threats and Controls
Course Wrap-up
Course: Influir en las personas
Modules:
01.01 - Bienvenida, 01.02 - Lo que aprenderá en este curso, 01.03 - Definición de poder en las organizaciones, 01.04 - Los beneficios del poder, 01.05 - El lado oscuro del poder (Parte 1), 01.06 - El lado oscuro del poder (Parte 2), 01.07 - Bases de poder: Estructurales, personales y cognitivas (Parte 1), 01.08 - Bases de poder: Estructurales, personales y cognitivas (Parte 2), 01.09 - Estrategias para construir poder estructural (Parte 1), 01.10 - Estrategias para construir poder estructural (Parte 2), 01.11 - Estrategias para construir su poder personal, 01.12 - Estrategias para construir su poder cognitivo, 01.13 - El poder conlleva responsabilidad, 01.14 - Resumen: Construir su base de poder
02.01 - Prueba social, 02.02 - Influencia y poder informales, 02.03 - Autoridad e influencia, 02.04: Sesgos cognitivos e influencia, 02.05 - Simpatía, escasez y reciprocidad, 02.06: Mensaje, discurso e influencia, 02.07 - Influencia no verbal, 02.08 - Momento del día e influencia, 02.09 - Su kit de herramientas de influencia
03.01 - Redes y poder, 03.02 - Poder y dependencia, 03.03 - Recursos en el intercambio social, 03.04 - Jeff Brodsky sobre cómo construir relaciones (Parte 1), 03.05 - Jeff Brodsky sobre cómo construir relaciones (Parte 2), 03.06 - John Beilein sobre cómo construir relaciones (Parte 3), 03.07 - Construir una reputación, 03.08 - Poder e influencia, 03.09 - Construir relaciones para influir, 03.10 - Construir influencia desde el primer día en el trabajo
04.04 - Estrategias y tácticas: Minimice los sesgos que permiten que otros influyan, 04.05 - Estrategias y tácticas: Cambiar la táctica de influencia, 04.06 - Estrategias y tácticas: Replantear la relación de poder, 04.07 - Cómo protegerse de la manipulación de los demás, 04.01 - Por qué debe protegerse y proteger a su equipo, 04.02 - La diferencia entre influencia y manipulación, 04.03 - Cuál es la diferencia entre influencia y manipulación, 04.08 - Resumen: Protegerse de la influencia no deseada
Course: Pharmaceutical and Medical Device Innovations
Modules:
Recap of Healthcare Marketplace Specialization, Meet Steve Parente (or "My Five Hats"), 1.1.0 Overview; Pharmaceutical Industry: Trends in Drug Development, 1.1.1 Pharmaceuticals: From Bench to Bedside, 1.1.2 Pharmaceutical Industry: Drug Development Challenges, 1.1.3 Pharmaceutical Industry: Intellectual Property, 1.2.1 Pharmaceutical Industry: Food & Drug Administration, 1.2.2 Pharmaceutical Industry: Investigational New Drug / Phase 1 to Phase 4, 1.2.3 Pharmaceutical Industry: Global Regulatory & Harmonization, 1.3.1 Pharmaceutical Reimbursement:  US Market, 1.3.2 Pharmaceutical Reimbursement:  Public Insurance Market, 1.3.3 Pharmaceutical Reimbursement:  Overseas US Market
2.1.1 Defining a Market Space, 2.1.2 Who are your Customers?, 2.1.3 Who or what Influences your Customer?, 2.2.1 Early Competitors in Brand Space, 2.2.2 Global Space Competitors, 2.2.3 Generic and Over the Counter (OTC), 2.3.1 Trends in Cancer Drugs, 2.3.2 British Criteria for Cancer Drug Payment, 2.3.3 U.S. Criteria for Cancer Drug Payment
3.1.1 Medical Device Industry: Regulatory Basics, 3.1.2 Device Failure, 3.1.3 Medical Device and Pharma Convergence, 3.2.1 Reimbursement Coding, 3.2.2 Payment to Healthcare Providers, 3.2.3 Medical Device Industry: Reimbursement Strategy, 3.3.1 U.S. Device Public Reimbursement, 3.3.2 U.S. Device Private Insurer Reimbursement, 3.3.3 Medical Device Reimbursement Outside U.S.
Medical Device Market Deployment & Management Overview, 4.1.1 Medical Device Industry: Market Space, 4.1.2 Medical Device Industry: Innovation Pipeline & Valuation, 4.1.3 Medical Device Industry: Global Partnerships, 4.2.1 Medical Device:  Device Competitor Analysis, 4.2.2 Medical Device: Global Competitor Analysis, 4.2.3 The 510k: Friend or Foe?, 4.3.1 Go to Market, 4.3.2 Managing Market Share, 4.3.3 Keeping the Product Fresh and Safe in the Long Run
Course: Foundations for Big Data Analysis with SQL
Modules:
Welcome to the Specialization, Welcome to the Course and Week 1, What Is Data?, Why Organize Data?, What Does a DBMS Do?, Relational Databases and SQL, The Success of RDBMSs and SQL, Operational and Analytic Databases, Comparing Operational and Analytic DBs: SELECT Statements, Comparing Operational and Analytic DBs: DML Activity, Operational and Analytic Databases: Further Comparisons
Welcome to Week 2, Introducing Table Schemas, NULL Values, Data Types, Primary Keys, Foreign Keys, Two Strategies for Database Design, Database Normalization, Denormalization, Differences, Trade-offs, Database Transactions, ACID, Enforcing Business Rules: Constraints and Triggers, Business Rules and ACID for Analytics?
Welcome to Week 3 and the Three Vs of Big Data, How Big Is Big Data?, Distributed Storage, Distributed Processing, Structured Data, Unstructured Data, Semi-Structured Data, Strengths of Traditional RDBMSs, Limitations of Traditional RDBMSs, SQL and Structured Data, SQL and Semi-structured Data, SQL and Unstructured Data
Welcome to Week 4, Big Data Analytic Databases (Data Warehouses), NoSQL: Operational, Unstructured and Semi-structured, Non-transactional, Structured Systems, Big Data ACID-Compliant RDBMSs, Search Engines, Challenges, What We Keep, What We Give Up, What We Add, Where to Store Big Data, Coupling of Data and Metadata
Welcome to Week 5, Apache Hive, Apache Impala, Exploring Structured Data in Hue, Welcome to the Honors Track, Honors Track Conclusion
Course: Build an iOS 16 Coffee Shop App Using SwiftUI And Firebase
Modules:
Introduction, Setting Up TabView, Creating a Model and Dummy Drinks, Continue with the Model and Dummy Data, HomeView Model and Firebase Repository, HomeView Grouped Drinks, Drinks Row, Async Image
Drinks Detailed View, Basket View Model, Basket View, Empty Basket View, Account View, Secure Storage, Saving Users to a Keychain, Create a Firebase App, Saving the Menu to Firebase, Setting Up a Firebase Repository, Creating Orders, and Error Handling
Course: Brand Management: Aligning Business, Brand and Behaviour
Modules:
1.1 Introduction, 1.2 Brand identity and brand image, 1.3 Interview with Bethany Koby, Director, Technology Will Save Us, 1.4 Brand purpose (part 1), 1.5 Brand purpose (part 2), 1.6 Interview with David Kershaw, CEO, M&C Saatchi, 1.7 3E's (part 1), 1.8 3E's (part 2)
2.1 Why brand experiences matter (Part 1), 2.2 Why brand experiences matter (Part 2), 2.3 Digital brand experiences (Part 1), 2.4 Digital brand experiences (Part 2), 2.5 Designing Brand Experiences (Part 1), 2.6 Designing Brand Experiences (Part 2), 2.7 Signature Pricing, 2.8 Interview with Huib van Bockel, 2.9 Interview with Professor Bernd H. Schmitt (Columbia Business School)
3.1 Connecting the Dots (Part 1), 3.2 Connecting the Dots (Part 2), 3.3 From Silos to Synchrony (Part 1), 3.4 From Silos to Synchrony (Part 2), 3.5 Interview with Ije Nwokorie (CEO, Wolff Olins), 3.6 Aligning the 3Bs at LBS, 3.7  Interview with Helen Casey (Head of Marketing, Old Mutual), 3.8 Interview with Henk Viljoen (Group Head of Internal Communications, Old Mutual), 3.9 Global Alignment (Part 1), 3.10 Global Alignment (Part 2), 3.11 Interview with Keith Weed (CMO, Unilever), 3.12 Brand Portfolio Management (Part 1), 3.13 Brand Portfolio Management (Part 2)
4.1 Brand Practices (Part 1), 4.2 Brand Practices (Part 2), 4.3 Brand Practices (Part 3), 4.4 Interview with Helen Edwards (Co-founder and director, Passionbrand), 4.5 Interview with Richard Hytner (Deputy Chairman, Saatchi & Saatchi), 4.6: Interview with Tanya Truman (Lush), 4.7: Interview with Nik Allebon (Lush), 4.8 The Six A's of Brand Engagement (Part 1), 4.9 The Six A's of Brand Engagement (Part 2), 4.10 The Six A's of Brand Engagement (Part 3), 4.11 The Six A's of Brand Engagement (Part 4), 4.12 The ABCs of Behaviour Change (Part 1), 4.13 The ABCs of Behaviour Change (Part 2), 4.14 The ABCs of Behaviour Change (Part 3), 4.15 The ABCs of Behaviour Change (Part 4)
5.1 Introduction, 5.2 Brand health: The traditional approach, 5.3 Internal brand health, 5.4 Customer-based brand equity, 5.5 Employee-based brand equity, 5.6 Brand Value and Valuation, 5.7 Interview with David Haigh, CEO, Brand Finance, 5.8 Brand Metrics (Part 1), 5.9 Brand Metrics (Part 2), 5.10 Course Summary
Course: Linux Kernel Programming and Introduction to Yocto Project
Modules:
Introduction to Device Drivers, Device Drivers Overview, Introduction to Kernel Modules, Building and Loading Kernel Modules, Kernel Module Design Basics, Introduction to Yocto, Building a Yocto Image, Yocto/Buildroot Comparison, Assignment 6 Part 1: Threading and Linked Lists, Assignment 6 Part 1: Socket Server Threading Demo, Assignment 6 Part 2: Yocto Environment Bringup Demo
Connecting to Userspace, Device Driver File Operations, Device Driver and Userspace Continued, Circular Buffer Implementation, Assignment 7 Part 1 Demo: Circular Buffer Assignment overview and demo, Kernel Debugging, Assignment 7 Part 2 Demo: Yocto and Buildroot Kernel Driver Builds
Concurrency and Race Conditions, Kernel Critical Sections, Additional Kernel Locking Options, More fun with Locking, Assignment 8 Overview, Additional Kernel Debug, Assignment 8 FAQ, Assignment 8 Demo: Char Driver and Multithreading Concepts
ioctl, Sleeping in the Kernel, Kernel Sleep Continued, Poll and Select, Assignment 9 Overview, Assignment 9 Demo: Advanced Char Driver Operations
Course: Iteration Planning and PI in Scaled Agile Framework
Modules:
Introduction to the Course, Meet Your Instructor, What you will learn in this lesson, Understanding Product and Program Backlog, Refinement and Prioritization, Techniques for User Story Grooming and Acceptance Criteria Definition, What you will learn in this lesson, Overview of Iteration Planning in SAFe, Data Driven Decision Making
What you will learn in this lesson, Introduction to PI Planning Modalities, Cross-Team Planning and Identifying Dependencies, Identifying Risks and Mitigation Strategies, Sample Boards: Collaborative Planning Across Teams, What you will learn in this lesson, Ensuring Consistency and Quality Across Teams, Determining Key Metrics
What you will learn in this lesson, Program Increment (PI) Execution in SAFe, PI Review and Assessment for Future Planning, Reviewing and Reflecting on a Completed PI, What you will learn in this lesson, Retrospectives and Continuous Improvement, Collecting Feedback and Implementing Change, Effective Retrospective Techniques and Best Practices
Course: Angular Fundamentals: Building Responsive Web Apps with Ease
Modules:
Introduction to AngularJS, AngularJS Key Features, Getting started with AngularJS - I, Getting started with AngularJS - II, Angular Components and Templates - I, Angular Components and Templates - II, Angular Components and Templates - III
Routing in Angular - Creating Multiple Components, Routing Components to URLs, Routing via Base URL in Angular, Exporting Routing Components, Template Driven, Reactive Forms in Angular, Creating Simple Reactive Forms in Angular, Form Submission in Angular, Understanding Directives in Angular, Understanding Data Binding in Angular, Understanding Data Binding in Angular - II, Functioning of ngModel in Angular, Mini project on Angular Directive, Mini Project on Array
Angular Services and Dependency Injection Part 1, Angular Services and Dependency Injection Part 2, Authentication and Authorization in Angular
Angular Directives and Custom Components  Part 1, Angular Directives and Custom Components  Part 2, Angular Directives and Custom Components  Part 3, Angular Directives and Custom Components  Part 4, State Management with NgRx 1, State Management with NgRx 2, State Management with NgRx 3, Bootstrap and Angular Js Part 1, Bootstrap and Angular Js Part 2
Course: People Analytics
Modules:
Introduction to People Analytics, Goals for the Course, Course Outline and Overview, People Analytics in Practice, Performance Evaluation: the Challenge of Noisy Data, Chance vs. Skill: the NFL Draft, Finding Persistence: Regression to the Mean, Extrapolating from Small Samples, The Wisdom of Crowds: Signal Independence, Process vs. Outcome, Summary of Performance Evaluation
Introduction to Professor Bidwell, Staffing Analytics Overview, Hiring 1: Predicting Performance, Hiring 2: Fine-tuning Predictors, Hiring 3: Using Data Analysis to Predict Performance, Internal Mobility 1: Analyzing Promotibility, Internal Mobility 2: Optimizing Movement within the Organization, Causality 1, Causality 2, Attrition: Understanding and Reducing Turnover, Turnover: Predicting Attrition, Staffing Analytics Conclusion
Introduction to Professor Haas, Basics of Collaboration, Describing Collaboration Networks, Mapping Collaboration Networks, Evaluating Collaboration Networks, Measuring Outcomes, Intervening in Collaboration Networks
Talent Analytics: The Importance of Context, Interdependence, Self-fulfilling Prophecies, Reverse Causality, Special Topics: Tests and Algorithms, Prescriptions: Navigating the Challenges of Talent Analytics, Course Conclusion: Organizational Challenges 1, Course Conclusion: Organizational Challenges 2 and Future Directions, Goodbye and Good Luck!
Course: Digital Signal Processing 2: Filtering
Modules:
2.1.1.a Linear time-invariant filters, 2.1.1.b Convolution, 2.1.2.a The moving average filter, 2.1.2.b The leaky integrator, 2.1.3.a Filter classification in the time domain, 2.1.3.b Filter stability, 2.1.4.a The convolution theorem, 2.1.4.b Examples of frequency response, 2.1.5.a Filter classification in the frequency domain, 2.1.5.b The ideal lowpass filter, 2.1.5.c Ideal filters derived from the ideal lowpass filter, 2.1.5.d Demodulation revisited, SOTD: Can one hear the shape of a room?
2.2.1.a Impulse truncation (and the Gibbs phenomenon), 2.2.1.b The window method, 2.2.1.c Frequency sampling, 2.2.2.a The z-transform, 2.2.2.b Region of convergence and stability, 2.2.3 Intuitive IIR designs, 2.2.4.a Filter specifications, 2.2.4.b IIR design, 2.2.4.c FIR design, 2.2.4.d Fractional delay and Hilbert filter, 2.2.5.a Implementation of digital filters, 2.2.5.b Real-time processing, Signal of the Day: Image Resolution and Space Exploration
2.3.1.a Random Variables, 2.3.1.b Stochastic Processes, 2.3.1.c Power Spectral Density, 2.3.1.d Filtering Random Processes, 2.3.2.a Optimal Least Squares, 2.3.2.b LPC Speech Coding, 2.3.2.c The LMS Filter, 2.3.2.d Echo Cancellation
Course: Serverless Data Analysis with Google BigQuery and Cloud Dataflow em Português Brasileiro
Modules:
Introdução ao curso
Introdução à análise de dados sem servidor com o BigQuery, O que é o BigQuery?, Demonstração do BigQuery, Benefícios do BigQuery, BigQuery em uma arquitetura de referência, Consultas e funções, Subconsultas e múltiplas tabelas, Laboratório — Análise de dados sem servidor (Java/Python): parte 1, Demonstração e recapitulação do laboratório, Carregamento e exportação de dados, Demonstração e recapitulação do laboratório, Recursos avançados no BigQuery, Matrizes e estruturas, Condição JOIN e funções de janela, Funções definidas pelo usuário, Demonstração e recapitulação do laboratório, Desempenho e preços, Tabelas de caracteres curinga e particionamento, Planos e categorias do BigQuery
Como escalonar automaticamente os canais de processamento de dados, Gravar canais de dados em Java e Python, Entrada, saída e execução, Demonstração e recapitulação do laboratório, MapReduce e processamento paralelo, Funções GroupBy e Combine, Combine x GroupBy, Demonstração e recapitulação do laboratório, Entradas secundárias, Demonstração e recapitulação do laboratório, Modelos do Dataflow e Dataprep, Recursos
Course: Preparing for the Google Cloud Professional Data Engineer Exam 日本語版
Modules:
はじめに
Professional Data Engineer 認定資格について
設計と構築, 柔軟なデータ表現の設計, データ パイプラインの設計, Dataflow パイプライン, BigQuery と Dataflow のソリューション, データ処理インフラストラクチャの設計, Pub/Sub のソリューション, 模擬試験問題 1
データ処理システムの構築, Cloud Storage、Cloud SQL、Cloud Bigtable, パイプラインの構築と保守, 処理インフラストラクチャの構築と保守, 模擬試験問題 2, ケーススタディ 01, チャレンジラボ 01 導入, Coursera: Google Cloud と Qwiklabs を使ってみる
分析とモデリング, データの分析, 機械学習, 機械学習と非構造化データ, トレーニングと検証, 模擬試験問題 3, ケーススタディ 02, 分析と最適化を目的としたビジネス プロセスのモデル化, 特徴量エンジニアリングとパフォーマンス, スキーマとパフォーマンス, パイプラインとパフォーマンス, 作業の分割, Bigtable のパフォーマンス, コストの見積もり, ケーススタディ 03, チャレンジラボ 02 導入
セキュリティとコンプライアンスを考慮した設計, 模擬試験問題 4, 品質管理の実施, 信頼性の保証
リソースと次のステップ, 模擬試験問題, 関連情報
Course: Effective Talent Management & Development
Modules:
Meet Your Faculty: Dr. Curtis Odom, Module Overview, Talent Management Strategy, The Talent Pipeline at Mayo Clinic, Strategic Talent Management Questions, Business Strategy, The Human Capital Advantage Value Chain, Talent Management By the Numbers, Workforce Planning Evolution, Operational vs. Strategic Workforce Planning, The Formula for Success
Module Overview, Segment Roles, Strategic Alignment as a Key Outcome of Workforce Planning, Environmental Scan, Environmental Scan Template, Internal Supply (Employees), Prioritization / Risk Assessment
Module Overview, Current State, Profile Data: Single Variable, Futuring, Scenario Planning
Module Overview, Gap Analysis, Action Planning, People Portfolio Segmentation, Buy, Build, Borrow, The Added Complexity of Today's Virtual Global Teams, Bringing SWP to Life, Understanding Stakeholders and Agendas, Articulating Benefits and Enlisting Support
Course: Riesgos y oportunidades empresariales en una economía globalizada
Modules:
Introducción al curso, Revisión de la teoría: riesgos y oportunidades, Presentamos la economía de EE. UU., Revisión de la teoría: EE.UU., Las relaciones macroeconómicas básicas en los EE. UU. 1: Ciclos y brechas comerciales, Las relaciones macroeconómicas básicas en los EE. UU. II: inflación, desempleo, curva de Phillips y crecimiento, Indicadores fiscales y el ciclo comercial de los EE. UU., ¿Tiene EE. UU. Un problema de deuda pública?, Política monetaria en los Estados Unidos, La cuenta corriente de los EE. UU. Y sus riesgos, La facilidad de hacer negocios y la desigualdad de EE. UU., Riesgos y oportunidades para los inversores en los EE. UU.
Presentando la economía japonesa, Revisión de la teoría: Japón, Los Indicadores Macroeconómicos Básicos en Japón: Persiguiendo el Crecimiento, Política fiscal expansiva en Japón, ¿Japón tiene un problema de deuda pública?, Política monetaria ultraexpansiva en Japón: flexibilización cuantitativa, Buscando crecimiento de fuentes extranjeras: la cuenta corriente de Japón, La moneda: clave de la estrategia de crecimiento de Japón, Demografía japonesa y sus riesgos, ¿Qué significan estas oportunidades y riesgos para los inversores?, Japón resumido
Presentando a la Unión Europea, Revisión de la teoría: La UE, ¿Por qué Europa eligió la integración económica? Opciones e historia, Macroeconomía y contrastes de la UE con los Estados Unidos, Contrastes fiscales entre la UE y los Estados Unidos, Crecimiento y brechas del PIB en toda la UE, Hacer funcionar la política monetaria única: transferencias fiscales y libre circulación de trabajo, Macroeconomía de España en la crisis global y de la eurozona, ¿Cómo se recupera un país de la eurozona? La austeridad en España y la demanda extranjera de crecimiento, La relación conflictiva del Reino Unido con la UE y Brexit, ¿Cómo salirá el Reino Unido la UE?, Los efectos del brexit en las industrias del Reino Unido, Los efectos del brexit en la macroeconomía británica, ¿Por qué ocurrió Brexit? Otra Trinidad Imposible, Riesgos y oportunidades para los inversores en la UE
Presentamos India y China, Revisión de la teoría: India y China, PIB y crecimiento, desde tiempos antiguos hasta el presente, Indicadores de desarrollo humano en India y China, Dos modelos de crecimiento diferentes: controladores internos vs externos, Dos monedas diferentes, Dos demografías diferentes, Dos entornos institucionales diferentes, Riesgos y oportunidades en India y China, Cierre del curso
Repasamos: Riesgos y oportunidades empresariales en una economía globalizada, Instrucciones del proyecto
Course: Calidad en la atención clínica
Modules:
Calidad de la atención médica, Modelos de Calidad en servicios de salud
Modelo para la formación de equipos interdisciplinarios, Colaboración para un abordaje integral
Calidad en la atención médica, Principios del aprendizaje basado en retos
Escenarios educativos en los nuevos escenarios clínicos, Ambientes clínicos sanos
Course: La Disrupción del Blockchain
Modules:
El triunfo de Silicon Valley: Una breve historia de la revolución digital, La Odisea del Cash Digital, Bitcoin, el Cash de Internet, Conceptos Básicos del Mundo del Blockchain, Creando una Cuenta en un Banco de Criptomonedas, Creando una Wallet de Criptomonedas
Comprando tus Primeros Bitcoin, El blockchain y la democratización de las finanzas, Una breve historia del dinero..., ¿Pueden los bancos sobrevivir al blockchain?, Cargando Saldo a Tu Cuenta, Comprando Tu Primer Bitcoin
Blockchain, identidad y propiedad, Los contratos inteligentes y el nacimiento de Ethereum, Los contratos inteligentes en acción, ¿Cómo invertir en criptomonedas?, Nuestra Primera Transferencia con Criptomonedas, Almacenando Bitcoin en el Largo Plazo
Las organizaciones descentralizadas, Blockchain y el futuro del trabajo, Las nuevas instituciones políticas de la era de Internet, Blockchain e Internet de las cosas, Haciendo una donación con Bitcoin
Blockchain y gobiernos, ¿Quién es Satoshi Nakamoto?, Restaurando nuestra wallet
Course: Chosen Issues in Holocaust History
Modules:
Course Trailer, European Jewry During  the Interwar Years, The Jewish Community of  Würzburg During the Interwar Period, The Weimar Republic: Politics, Society and Culture, Key Historical Concept: The Weimar Republic, The Rise to Power and Consolidation of the Nazi Party, Holocaust Survivor Ruth Falk Recalls Her Immigration from Nazi Germany, 1933-1937: The Anti-Jewish Policies of the Nazi Regime, The Jews of Würzburg During the Early Days of Nazi Rule, German Jewry under the Nazi Regime, Jewish Life under the Nazi Regime, The Crucial Year: From 1938 until the Outbreak of the War, Kristallnacht in Würzburg
Regime Patterns in the Nazi Occupied Countries, Anti-Jewish Policies in Different European Countries and Territorial Solutions to the "Jewish Problem", Key Historical Concept: The Jewish Badge, The Development of Anti-Jewish "Control Mechanisms", The Development and Establishment of Ghettos, Daily Life in the Lodz Ghetto, Daily Life in the Ghettos, Jewish Life in the Ghettos, Emanuel Ringelblum and the "Oyneg Shabes" Secret Archives in the Warsaw Ghetto, Mordechai Anielewicz: A Life, Daily Life in the Non-Ghettoized Areas, Jews in France under the German Occupation
Intentionalists and Functionalists, Operation Barbarossa – the Beginning of the Systematic Mass Murder, Holocaust Survivor Max Solway Describes Escaping a Killing Pit, Expanding the Murder to Encompass All Jews under Nazi Control, Key Historical Concept: The Wannsee Conference, The Extermination Camps, Holocaust Survivors, Twin Sisters, Describe Arriving at Auschwitz, Key Historical Concept: The Camps, The Camp Prisoner, Surviving the Holocaust: The Story of Hanna Bar Yesha, Primo Levi, The "Last Jews", Holocaust Survivor Testimonies: The Life of a Partisan, Abba Kovner: Underground and Partisan Commander in the Vilna Area
Who Are the Jews and What Is Antisemitism?, Nature of Antisemitism, Holocaust Survivor Discusses Jewish-Polish Relations in Chelm Before WWII, Traditional Antisemitism: Theological Background, Traditional Antisemitism: The Middle Ages, Modern Antisemitism, Racial Antisemitism, Nazi Ideology
The Nazi Expansionist Policy and the First Deportations, The Outbreak of World War II and Deportations in Poland, The First Week of German Occupation of Liepaja, The Railway System and Its Role in the Implementation of the "Final Solution", Holocaust Survivor Testimonies on the Deportations, Summer-Autumn 1941, The Deportation of Würzburg Jews to the East, 1942-1944: Deportations - A Pan-European Phenomenon, A Deportation from Greece to Auschwitz, The End of World War II, Liberators and Survivors: The First Moments, Holocaust Survivor Testimonies: The Anguish of Liberation
The World Today, What Happened to the Concepts of Good and Bad?, Boundaries in the Representation of the Holocaust, Teaching the Holocaust through Art: An Introduction
Course: Introduction to Intellectual Property
Modules:
Introduction to Intellectual Property, Why Learn About Intellectual Property Law?, Expansion of Intellectual Property, Patents, Trademarks, Copyright, Other Regimes, Takeaway Points
Why have IP Rights?, Basic Intellectual Property Economics, The Mechanisms of Intellectual Property Rights, The Costs of Intellectual Property, Mechanism of IP Rights as Property, Balance of Intellectual Property Rights, Takeaway Points
Alternatives to Intellectual Property Law, Alternatives to Patent Law, Alternatives to Patent Law: Government Contracts, Alternatives to Copyright Law, Alternatives to Copyright: Private Subscriptions, Alternatives to Trademark Law, Takeaway Points
Case Studies in Intellectual Property Law, Case Study: Apple Computers, Case Study: General Motors, Case Study: Novartis, Case Study: Novartis Part 2, Takeaway Points
Course: Photography Techniques: Light, Content, and Sharing
Modules:
MEET MSU and THE SPECIALIZATION, MEET THE PROFESSORS: Peter Glendinning and Mark Sullivan, MEET THE COURSE: an overview by Mark and Peter, The Portrait: document and image, The Landscape: document and image, The Still Life: document and image, The Tableau and Manipulated Landscape: fictions
Light: as energy and an element of photography, Light: Colors and Color Temperature Theory, Tips and Techniques: People and Ambient Light, Tips and Techniques: Landscapes, Cityscapes, Interior-scapes, Things, and Ambient Lighti, Tips And Techniques: Things and Ambient Light
Controlled Light: Basic Principles 1, Controlled Light: Basic Principles 2, Camera Flash types/functions: Part 1, Camera Flash types/functions: Part 2, Camera Flash types/functions: Part 2.5, Flash and the Focal Plane Shutter, A brief Flash Review!, Flash tools, Kitchen Table Studio: a copy stand for flat artwork/documents, Kitchen Table Studio: Lighting an Object Part 1, Kitchen Table Studio: Lighting an Object Part 2, Lighting a Person: in daylight!
ICC Profiles and Color Management, Calibrating for consistency: theory and monitor, OUTSOURCING to Learn About Printing Basics, Calibrating for consistency: the printer, Printmaking 1.0: Printers, Printmaking 2.0: Inks, Papers, and other materials, Kitchen Table Studio: dry-mounting a print Part 1, Kitchen Table Studio: dry-mounting a print Part 2, Photo Sharing Sites: Do's and Don'ts!, Your Photo Website: Part 1, Your Photo Website: Part 2, Copyright: Protecting what is yours
Course: Hypotheses Testing in Econometrics
Modules:
Welcome to Hypotheses Testing in Econometrics, Properties of the OLS Estimator, Presentation of Linearity, Unbiasedness, Efficiency, Consistency
Hypothesis Testing, The t-Test, The F-Test, Type I and Type II Errors
Diagnostic Testing, Violation of Linearity, Violation of Full Rank, Violation of Regression Model
Stochastic Regressors, Non-Normal Errors
Course: Generative AI - Your Personal Code Reviewer
Modules:
Course Introduction, Generative AI as a Code Reviewer, Generative AI and Coding, Natural Language Descriptions and Code Generation, Debugging Codes with Generative AI, Debugging Existing Codes Using Generative AI, Adding Code Comments Using Generative AI, Generative AI and Code Refactoring, Generative AI and Code Refactoring: One Step Further, Generative AI and Exploratory Data Analysis: Fundamentals, Generative AI and Exploratory Data Analysis: Exploring Further, Converting Features with Generative AI, Generative AI and Machine Learning, Generative AI Trends for Code Generation, Data Processing with ChatGPT Plus, Building a Machine Learning Model with ChatGPT Plus
Course: Introduction to Research for Essay Writing
Modules:
Course Introduction Video
Intro Video, Choosing a Research Topic Video Lecture, Finding and Evaluating Academic Sources Video Lecture
Intro Video, More on Finding Sources and Taking Notes Video Lecture, Making an Outline Video Lecture, Thesis Statements for Research Papers Video Lecture
Intro Video, Academic Tone and Language Video Lecture, Using Statistics in Writing Video Lecture, The Academic Word List and Reporting Verbs Video Lecture
Intro Video, Using Purdue Owl Video Lecture, Using EasyBib Video Lecture
Course: Managing Machine Learning Projects
Modules:
Specialization Overview, Instructor Introduction, Course Overiew, Introduction & Objectives, Identifying Opportunities, Validating Product Ideas, Benefits of ML in Products, ML vs. Heuristics, Module Wrap-up
Introduction and Objectives, ML Projects vs. Software Projects, CRISP-DM Data Science Process, CRISP-DM Case Study, Team Organization, Organizing the Project, Measuring Performance, Module Wrap-up
Introduction and Objectives, Data Needs, Data Collection, Data Governence & Access, Data Cleaning, Preparing Data for Modeling, Reproducibility & Versioning, Module Wrap-up
Introduction and Objectives, ML System Design Considerations, Cloud vs. Edge, Online Learning & Inference, ML on Big Data, ML Technology Selection, Common ML Tools, Module Wrap-up
Introduction and Objectives, ML System Failures, ML System Monitoring, Model Maintenance, Model Versioning, Organizational Considerations, Module Wrap-up, Course Wrap-up
Course: Exploring Beethoven's Piano Sonatas Part 3
Modules:
Welcome!, Syllabus, Getting to Know You
Opus 10 number 1: The "c minor Mood", Opus 10 number 1: Extremes of Tempo and Character, 1st Movement: Pulse as a Source of Character, 1st Movement: High Drama within the Conventions of the Time, 1st Movement: A Development with New Material, 1st Movement: Hammer Blows in c minor, 2nd Movement: An Adagio Oasis, 2nd Movement: A Coda that Expands the Movement’s Scope, 3rd Movement: Prestissimo!, 3rd Movement: Short-Short-Short-LONG, 3rd Movement: Beginning with Defiance; Ending with Mystery
Op 22: The Sonata that Washed Itself, 1st Movement: Wit and Athleticism, 1st Movement: Playing by the Rules, 2nd Movement: An Aria on the Piano, 2nd Movement: Effortless Mastery, 3rd Movement: A Rhythmic Link to the Rest of the Work, 4th Movement: A Grazioso Goodbye to the Earliest Period
Op. 31 no. 2: An Adventurous, Unsettling Masterwork, 1st Movement: A Recitative hat is not a Recitative; An Introduction that is not an Introduction, 1st Movement: A Confrontation of Opposites, 1st Movement: The Structural Lines Grow Blurrier, 1st Movement: And Finally, the Recitative!, 2nd Movement: Harmonic and Emotional Stability at Las, 2nd Movement: Evoking Voices and Instruments, 2nd Movement: Exploring the Piano’s Extreme Registers, 3rd Movement: A Slow-Moving Perpetual Motion, 3rd Movement: Anxiety and Ambuguity
Op. 78, 1st Movement: After a Long Pause, A Sonata Beethoven Loved, Op. 78, 1st and 2nd Movements: Warmth and Humor, Op. 79, 1st Movement: Beethoven, Modest and Unbuttoned, Op. 79, 1st Movement: Phrase Lengths as a Source of Humor, Op. 79, 2nd and 3rd Movements: Sonata Movements as Character Pieces, Op. 81a: The Birth of Program Music for the Piano, Op. 81a, 1st Movement: Le-Be-Wohl, Op. 81a, 1st Movement: Extreme Economy of Gesture…, Op. 81a, 1st Movement: …And a Return to Expansiveness, Op. 81a, 2nd Movement: Conveying Absence through Harmonic Uncertainty, Op. 81a, 3rd Movement: After Melancholy, Euphoriac
Listening
Stay in touch with the Curtis Institute
Course: Marketing no mundo digital
Modules:
Bem-vindo ao curso Marketing no mundo digital, Visão geral de marketing, Product, Oferecendo ideias de produtos, Cocriação com o cliente - Parte 1, Cocriação com o cliente - Parte 2, Introdução ao estudo de caso: Threadless, Economia do compartilhamento - Parte 1, Economia do compartilhamento - Parte 2, Exercise: Ideas.Lego.com
Promoção, Avaliações de produtos, Conteúdo Gerado pelo Usuário - Parte 1, Conteúdo Gerado pelo Usuário - Parte 2, Introdução ao estudo de caso: GoPro, Imagem de marca doppelgänger - Parte 1, Marcas doppelgänger - Parte 2, Teste do exercício: Wikipedia.org
Posicionamento (praça), Compras on-line, Novo varejo, parte 1, Novo varejo, parte 2, Introdução ao estudo de caso: Tesla, Fabricação própria, parte 1, Fabricação própria, parte 2, Exercício: Thingiverse.com
Visão geral de Preço, Pesquisa de preços on-line, "Pague o que quiser", "Pague o que quiser", parte 2, Introdução ao estudo de caso: Panera, Freemium parte 1, Freemium parte 2, Exercício: It's Full of Sparks, Programas on-line da Gies
Course: Selling to Chinese Consumers
Modules:
Welcome to Doing Business in China, Entering the China Market, 1.1 The Growth of the Middle Class and of China as a Country, 1.2 The Sociological and Economic Characteristics of Chinese Consumers, 1.3 An In-Depth Look at Why Chinese Consumers Like Luxury Brands, 1.4 The Effects of Lay Elitism on Consumption Choices, 1.5 Dialogue with Scholar: Professor Chi-yue Chiu, 1.6 The Effects of Agency on Consumption Choices, 1.7 Dialogue with Scholar: Professor Krishna Savani, 1.8 This Week's Recap, 1.9 Dialogue with Practitioner: Susanna Chiu
2.1 Xiaoling and Lingnan:  A Life Example of Chinese Consumers' Online Shopping Behaviour, 2.2 The Online Shopping Behaviour of Chinese Consumers, 2.3 Relationship Building in China, 2.4 What Is Guanxi Management, and Why Is It Important?, 2.5 Renqing, and the Cultivation of Guanxi with Chinese Consumers Online, 2.6 Utilizing New Media to Communicate With Chinese Consumers, 2.7 Dialogue with Practitioner: Stewart Li, 2.8 Dialogue with Scholar: Professor He Lingnan
3.1 What Is Changing for Chinese Consumers?, 3.2 Materialism in China, 3.3 Reasons behind Materialism and Conspicuous Consumption in China - Part 1, 3.4 Reasons behind Materialism and Conspicuous Consumption in China - Part 2, 3.5 The Impact of Relational Mobility on Culturally-Mixed Products, 3.6 The Psychological Profiles of Chinese Consumers, 3.7 Dialogue with Scholar: Professor Carlos Torelli, 3.8 Dialogue with Practitioner: Anthony Lau
4.1 How Do Chinese Consumers Understand Branding?, 4.2 How to Build a Strong Brand in China, 4.3 Dialogue with Scholar: Professor Dongmei Li, 4.4 Introduction of a Foreign Brand into the Chinese Market, 4.5 Dialogue with Scholar: Professor Carlos Torelli
Course: Communicate Effectively about Ethical Challenges in Data-Driven Technologies
Modules:
Communicate Effectively about Ethical Challenges in Data-Driven Technologies Course Introduction, CEET Specialization Introduction, Course Welcome & Success Tips, Communication Is Key, Ethical Risk Categories, Communicate Ethical Risks, Stakeholders, Risks to the Individual, Risks to the Organization, Risks to Society, Business Impact Assessments, Social Impact, Organizational Reputation, Consumer Trust, Liability, Regulatory Obligations
The Importance of Diversity, Equity, and Inclusiveness, Diverse, Equitable, and Inclusive Communication Strategies, Organizational Philosophy, Mission and Vision Statement, Disclosure Statements, Corporate Reporting, Diverse Data Ecosystem, Diversity as Strategic AI Maturity, Media Campaigns, Public Education Campaigns, Social Media, Media Inquiries, Press Conferences, Press Releases, Press Packs/Kits
The Importance of Planning for an Ethical Crisis, Crisis Management, Crisis Communications, Crisis Communication Team, Spokesperson Training, Notification Systems, Vulnerability Audit, Business Continuity Plans, Disaster Recovery Plans, Incident Response Plans, Reputational Risk Management, Post-Crisis
The Critical Role of the Media in an Ethical Crisis, Media Communication Plans and Tools, Holding Statements, Social Media Statements, Feedback Monitoring and Response, Be Truthful about a Crisis, Provide Necessary Information about a Crisis, Establish an Ongoing Relationship with the Media, Leverage Multiple Kinds of Media During a Crisis, Prepare for Long-Term Communication
Writing a Press Release/Preparing a Press Briefing, Developing a Media/Public Education Campaign
Course: Building Culture in a Scale Up
Modules:
Welcome to the Course!, Why Culture is So Important, The Importance of the Founder in Getting Culture Buy-In
Examples of a Great Scale Up Culture: Netflix and Hubspot, IE Professor Interview:  Celia de Anca on Diversity
What is Leveling Up? End of Advisors, Corporate Governance: When Things Go Right & When Things Go Wrong, Entrepreneur Interview: Kike Sarosola, Founder of Room Mate Hotels
Hiring and Retaining Great People, The Science Behind Effective Teams, Resources to Continue Your Learning, Final Thoughts on the Course
Course: Activity Design with PhET Simulations for STEM Education
Modules:
Using PhET Activity Sheets in Small Group Work
Reuse and Recycling in Education, Activities vs. Activity Sheets, Selecting a PhET Simulation-Based Activity Sheet, Student Autonomy in Activity Sheets, Equity through Active Learning, Integrating Active Learning in an Activity Sheet, Equity in Technology, Equity in an Activity Sheet, Establishing Relevance through Activity Sheets, Incorporating Representation in Activity Sheets, Building Accessibility into Activity Sheets, Active Learning and Equity Aspirations
Teacher Discussion on Challenge Prompts: Unit Rates, Teacher Discussion on Build an Atom Prompt, Teacher Discussion on Area Model Multiplication Prompt, Teacher Discussion on Graphing Lines Prompt, Challenge Prompts: Function Builder, Open Play Discussion
Designing Activity Sheets, Preparing to Design a Lesson, Activity Sheet Strategies, Facilitating Discussion in a Synthesis/Post-Lab, Unexpected Discovery During a PhET Lesson
Next Steps