dipopotamus/custom_instruct_coursera_course_module_list huggingface dataset:
Course: Functions, Methods, and Interfaces in Go
Modules:
M1.1.1 - Why Use Functions?, M1.1.2 - Function Parameters and Return Values, M1.1.3 - Call by Value, Reference, M1.1.4 - Passing Arrays and Slices, M1.2.1 - Well-Written Functions, M1.2.2 - Guidelines for Functions, M1.2.3 - Function Guidelines
M2.1.1 - First-Class Values, M2.1.2 - Returning Functions, M2.2.2 - Variadic and Deferred
M3.1.1 - Classes and Encapsulation, M3.1.2 - Support for Classes (1), M3.1.3 - Support for Classes (2), M3.2.1 - Encapsulation, M3.2.2 - Point Receivers, M3.2.3 - Point Receivers, Referencing, Dereferencing
M4.1.1 - Polymorphism, M4.1.2 - Interfaces, M4.1.3 - Interface vs. Concrete Types, M4.2.1 - Using Interfaces, M4.2.2 - Type Assertions, M4.2.3 - Error Handling
Course: Digital Marketing Analytics
Modules:
Course Introduction, Meet Your Instructor, Understanding the Pillars of Digital Marketing, How Is Digital Marketing Different?, Understanding the Online Customer Journey, How Do Businesses Reach Customers Digitally?
Models of Digital Marketing Strategy, Digital Marketing Planning, Essential Skills in Digital Marketing, Ethical and Legal Challenges in Digital Marketing
Graded Quiz: Digital Marketing Channels and Process of Planning a Digital Marketing Program
Search Channels: Paid and Organic Search Results, Types of Display Advertising, Targeting in Digital Marketing, Measuring the Effectiveness of Display Advertising
Social Media Channels in Digital Marketing, Programmatic Digital Advertising, Challenges Faced by Display Advertisers
Graded Quiz: The World of Display Advertising, Social Media Channels, and Programmatic Advertising
Introduction to Search Engine Advertising, Google Ads Platform for Advertising, Understanding Ad Ranks and Ad Auction Models, Trends in Search Engine Advertising
Introduction to Search Engine Optimization, On-Page Search Engine Optimization, Off-Page Search Engine Optimization, Creating Optimum UX and UI
Graded Quiz: Search Engine Advertising and Search Engine Optimization
Introduction to Google Analytics, Key Google Analytics Metrics, Attribution Models Determining Customer Acquisition, Making Web Analytics Actionable Through Impact Matrix
Voice Search, Beacon Technology, and Micro-Moment Marketing, Artificial Intelligence in Advertising, Chatbots, Virtual Reality, and Augmented Reality, Blockchain-Based Digital Advertising
Course Wrap-Up Video
Course: Fundamentals of Immunology: Inflammation, Tolerance, Autoimmunity
Modules:
Welcome, Cellular Immunity, Quasi-Innate Adaptive Cells: Border Patrol, Out of the Bone Marrow: Spectrum and Variety, Attack by Tc Cells, Attack by NK Cells, Coordinated Killing: ADCC
Metaphor, Signals, Cell Adhesion, Extravasation, Inflammasomes, Inflamatory Mediators, Clinical Considerations, Clinical Therapies
Danger Assessment, Central Tolerance, Peripheral Tolerance, Experiments and Mechanisms, T regulatory cells, Thought Questions, Mutation, Implications and Analogy
Systemic, Endocrine, Neuromuscular, Epithelia, Mechanisms, Therapy
Type I: Characteristics and Diseases, Type I: Mechanism of Action, Type I: Therapies and Epidemiology, Type II: ADCC, Type II: Clinical Consequences, Type III: Immune Complex Mediated, Type IV: Cellular or Delayed, Wrap-up
Antibodies & Assays, ELISA Assays, Graft Rejection, MHC and Tissue Typing, Encouraging Tolerance, Transplant Examples, Farewell
Course: Introduction to Object-Oriented Programming with Java
Modules:
Course Overview, Managing Complexity, Code Re-use, Managing Change, Moving to OO from Procedural, OO Definitions, Defining a Class, An Example Class, Objects, Objects Example, Experience the Lab Environment
Introduction to Packages, Packages and the Classpath, Declaring a Class, Class Anatomy, Adding Attributes and Methods, Method Parameters, Method Variables, Java Access Modifiers, Constructors, Creating Classes Lab Summary, Creating Classes Lab Full Walkthrough (Optional), Static Attributes, Static Methods Demo, Creating Calculator Classes Lab Summary, Creating Calculator Classes Lab Full Walkthrough (Optional)
Creating an Object, Working with Objects, Creating Objects Lab Summary, Creating Objects Lab Full Walkthrough (Optional)
JAR Files and Namespaces (Packages), Packaging Classes, Importing Packages, Using Imported Classes, The String Class, Creating String Objects, StringBuffer and StringBuilder, The Math Class, Creating Calculator Objects Lab Summary, Creating Calculator Objects Lab Full Walkthrough (Optional)
Course: Journey of the Universe: The Unfolding of Life
Modules:
Tucker and Grim, “Cultural Cosmology and Scientific Cosmology”
Tucker, “Living Within a Universe Story”, Tucker, “Ethics in an Age of Extinction”, Meet Brian Swimme, Journey of the Universe (full film), The new cosmology — sketched out via Einstein — as a fundamental Copernican-type turning point
Journey of the Universe Film: Scene 1: Introduction, Journey of the Universe Film: Scene 2: Beginning of the Universe, Journey of the Universe Film: Scene 3a: Galaxies Forming, Journey of the Universe Film: Scene 3b: The Emanating Brilliance of Stars., The Omnicentric Nature of Cosmic Expansion
Journey of the Universe Film: Scene 4: Birth of the Solar System, Journey of the Universe Film: Scene 5: Life’s Emergence, Plate Tectonics as Balanced Turbulence in Mars and Jupiter
Journey of the Universe Film: Scene 6: Learning, Living, and Dying, Journey of the Universe Film: Scene 7: The Passion of Animals, Demonstrating the Co-evolution Taking Place in Natural Selection
Journey of the Universe Film: Scene 8: The Origin of the Human, Journey of the Universe Film: Scene 9: Becoming a Planetary Presence, The Neotenic Nature of Flowers and Humans
Journey of the Universe Film: Scene 10: Emerging Earth Community, Tucker and Grim with Brian Ackerman at Jacob Burns Center (1 of 3), Tucker and Grim with Brian Ackerman at Jacob Burns Center (2 of 3), Tucker and Grim with Brian Ackerman at Jacob Burns Center (3 of 3), Time As Now Measured in Terms of Cosmological Creativity
Course: Introduction to Events Management
Modules:
Introduction to the Course & Meet Your Instructor, Key Concepts in Event Management, The Importance of Customer Experience, Avoid Mistakes and Follow the Ultimate Best Practices, Event Planning Stages, Venue Selection and Logistics Management, Coordination and Team Management, Event Marketing Strategies, Budgeting Essentials for Events, Design, Hospitality and Vendor Management, Main Takeaways and Conclusion, Congratulations and Continuous Learning Journey
Course: 创作吧！微影人！
Modules:
专项课程宣传片, 本课程简介&毕业项目说明, 大师作品的诞生, 确定你不是叶公好龙？那就从心动到行动, 《黑书》创始人任家：我们想为自己做点事, 半路导演唐成骎：我的《施高塔路》, 误打误撞入坑的姚思钒：工科生一路奔向电影梦, 成也模仿、败也模仿：感性才重要
访谈叙事法中的访谈对象, 访谈叙事法中的控制与意外, 访谈叙事法创作思维, 人生感悟：用丰富感人的细节烘托深邃的思想, 诗意叙事法的唯美感官, 诗意叙事法的淡泊叙事, 诗意叙事法创作思维, 实验叙事法创作思维, 绝对有效的开脑洞大法
好剧本是改出来的, 主题自查清单, 情节自查清单, 角色自查清单, 台词自查清单
抓住一切机会推销你的故事, 拍摄前期之PPM与预算等常用文档
拍摄注意事项, 制片人经验谈：制片人是万能人, 摄影师经验谈：好看是最基础、最低级的东西, 导演经验谈：摸爬滚打出真知, 美术师经验谈：我负责电影的美感
剪辑经验、问题与趣事交流区
补拍与精剪之后，交最终成片
电影新手常见错误自查清单
Course: Sales Enablement
Modules:
Introduction to the Program, Course Introduction Video, Careers in Sales and Customer Relationship Management, Weekly Introduction: Adopting a Sales Enablement Mentality, Why You Need Sales Enablement, Developing a Sales Enablement Strategy, Sales Enablement in Action, The Importance of Having a Vision and Setting Goals, Creating a Revenue Goal, Leads and the Sales Pipeline, The Importance of Lead Qualification, Identifying Fit and Sales Readiness, Mastering Lead Qualification, Weekly Review: Adopting a Sales Enablement Mentality
Weekly Introduction: Managing for Sales Enablement, The Importance of the Sales and Marketing SLA, Creating an SLA for Your Teams, Optimizing Your SLA, Beyond the SLA, The Importance of Smarketing Meetings, Planning an Effective Smarketing Meeting, Running an Effective Smarketing Meeting, Weekly Review: Managing for Sales Enablement
Weekly Introduction: Making the Connection with Your Buyer, Introduction to Buyers, The Importance of Buyer Personas, Developing Your Buyer Personas, Developing Your Buyer Persona: Application, The Importance of Jobs-to-Be-Done, Rethinking Your Competition, Uncovering Your Customers' Jobs, Uncovering Your Customers' Jobs: Application, The Importance of Hero Statements, Being a Hero to Your Customers, What Does Being a Hero Look Like?, Creating a Hero Statement, Weekly Review: Making the Connection with Your Buyer
Weekly Introduction: Using Content as a Sales Tool, The Importance of Content in Sales Enablement, Using Pre-Sale Content to Enable Sale, Using Content during the Sales Process, Content Strategy in Action, The Importance of Company-Wide Collaboration, Designate a Content Manager, Getting Sales Involved in Content Creation, Making Content Creation a Company-Wide Initiative, Getting Started with Video Content, Why is Writing an Important Business Skill?, The Research Process, What Goes into an Outline?, The Pain of Writing the First Draft, Writing Impactful Introductions and Conclusions, Top Writing Tips from Daniel Pink, A Guide to Self-Editing, Weekly Review: Using Content as a Sales Tool
Weekly Introduction: Continuing Enablement after the Sale, The Importance of Customer Enablement, Helping Customers Fire their Old Solutions, Encouraging People to Buy from You Again, Helping Your Customers Do the Job They Hired Your Product to Do, The Importance of Technology in a Sales Enablement Strategy, Choosing the Right Technology, What Does a Technology Strategy Look Like?, Project Overview, Congratulations!
Course: Securing, Monitoring, and Scaling Kubernetes Clusters
Modules:
Instructor Welcome and Course Overview, Introduction to Kubernetes Security and RBAC, Applying Role-Based Access Control (RBAC) in Kubernetes, Using Webhooks for RBAC and Event Notifications in Kubernetes, Applying RBAC Policies and Best Practices in Kubernetes, Troubleshooting, Monitoring, and Auditing RBAC in Kubernetes, Applying Network Policies in Kubernetes, Limiting Resource Usage and Securing Pod Communication in Kubernetes, Demonstration Video: Introduction to RBAC
Kubernetes Metrics and Monitoring Objectives, Key Performance Indicators for Cluster Health in Kubernetes, Kubernetes Dashboard and Accessing RBAC, Monitoring with Grafana in Kubernetes, ELK Stack and other Monitoring Tools in Kubernetes, Monitoring Kubernetes with Prometheus, Kubernetes Monitoring Best Practices
Resource Quotas and Control Groups in Kubernetes, Monitoring and Enforcing Resource Quotas in Kubernetes, Configuring Customized Schedulers in Kubernetes, Auto-Scaling in Kubernetes, Horizontal Pod Autoscaler, Vertical Pod Autoscaler, Cluster Autoscaler, Considerations When Planning Scaling Strategies in Kubernetes, Implementing and Validating Scaling Strategies in Kubernetes
Course: Digital Marketing Analytics in Theory
Modules:
Welcome to the Course, About Prof Kevin Hartman, Learn on Your Terms, Module 1 Overview, The Art and Science Mind, The Early History of Analytics, The Contemporary History of Analytics, The Rise of Modern Data Analytics
Module 2 Overview, Online Video, Online Search, Display Media, Social Media, The Consumer Decision Journey
Module 3 Overview, Digital Data Infrastructure, Brand Measurement, Consumer Outcomes, Customer Value, Attribution
Module 4 Overview, Analytics and Dataviz Tools, Evaluating the Tool Landscape, Digital Marketing Maturity, The Issue of Privacy
Course: Début du processus de conception UX : Empathie, définition et formulation d’idées
Modules:
Introduction au cours 2 : Empathie, définition et idéation, Emily - Le pouvoir de la recherche UX, Collaboration et retour sur les projets de portfolio, Introduction à la recherche UX, Christie - Le design et l'importance des retours, Choisir la méthode de recherche appropriée, Comprendre les avantages et les inconvénients des méthodes de recherche, Craig - Mon parcours vers l'UX, Identifier les types de préjugés dans la recherche UX, Deana - Identifier les préjugés dans l'UX, Synthèse : Intégrer la recherche dans le processus de design
Faire preuve d’empathie envers les utilisateurs, Recruter des participants aux entretiens, Préparer les entretiens avec les utilisateurs, Mener des entretiens avec les utilisateurs, Cartes d’empathie, Identifier les difficultés de l’utilisateur, Comprendre les personas, Synthèse : Faire preuve d'empathie envers les utilisateurs et définir les difficultés
Bienvenue dans la semaine 3, Élaborer des user stories, Tenir compte des cas limites, Ayan - Exemple réel de cas marginaux, Créer une carte du parcours utilisateur, Tenir compte de l’accessibilité lors de l’empathie, Comprendre l’effet du bateau de trottoir, Synthèse : Création de user stories et de cartes de parcours utilisateur
Bienvenue dans la semaine 4, Créer des énoncés de problème, Définir des énoncés d'hypothèse, Déterminer une proposition de valeur, Comprendre les facteurs humains, Explorer les principes de psychologie qui influencent le design, Synthèse : Définir les problèmes des utilisateurs
Bienvenue dans la semaine 5, Comprendre l'idéation de design, Découvrir plein d'idées, Reconnaître les besoins de l'entreprise pendant de la formulation d'idées de conception, Étudier la concurrence, Limites des audits concurrentiels, Étapes de la réalisation d’un audit concurrentiel, Utilisez les informations issues des audits concurrentiels pour idées, Vanessa - Mon parcours vers l'UX, Utilisez « How Might We » pour idéer, Utiliser la méthode Crazy Eights pour idéer, Tenir compte des parcours des utilisateurs lors de l'idéation, Synthèse : Idéer des solutions de design, Félicitations, vous avez terminé le Cours 2 : Empathie, définition et idéation
Course: Amazon Aurora Primer
Modules:
Amazon Aurora Primer
Course: Amazon RDS Primer
Modules:
Amazon RDS Primer
Course: Approximation Algorithms Part II
Modules:
Linear programming duality - example, Properties of LP duality, Geometry of LP duality, Proof of weak duality theorem, Changing the form of the LP, Complementary slackness, Primal-dual algorithms, Vertex cover by primal-dual, Conclusion
Problem definition, A special case: Steiner tree, LP relaxation for Steiner forest, ... and its dual, Primal-dual algorithm, Part1, Primal-dual algorithm,Part 2, Analysis, Proof of the main lemma
Problem definition, A linear programming relaxation, ...and its dual, A primal-dual algorithm, Analyzing the service cost, Analyzing the facility opening cost, A better algorithm, Analysis, Conclusion
Definition, A 2-approximation, A linear programming relaxation..., ...with an integrality gap of almost 2, Proof of Lemma, A quadratic programming relaxation, General facts about semidefinite programming, A rounding algorithm, Analysis, General facts about MaxCut, The end!
Course: 天文探秘
Modules:
欢迎新学习者, 课程大纲
万物的开始：宇宙大爆炸, 超级微波炉：宇宙微波背景辐射, 伟大的设计：大尺度结构, 未知的命运：宇宙加速膨胀
黑暗时代的终结：原初星系, 宇宙动物园：千奇百态的星系, 我们的家：银河系, 宇宙中的怪兽：超级黑洞
从海王星的发现到你为什么能健康地坐在这里？, 经典：牛顿引力的描述, 颠覆：时间与空间的统一, 未知的引力：超越爱因斯坦？
已知的未知：宇宙由什么组成？, 牛顿引力 Vs 不可见物质（上）, 牛顿引力 Vs 不可见物质（下）, 暗物质：宇宙的魔术师（上）, 暗物质：宇宙的魔术师（下）, 通缉令：暗物质大搜捕, 爱因斯坦最后的预言：引力波
太阳的脉搏（上）, 太阳的脉搏（下）, 我们能看到太阳的内部和背面吗？（上）, 我们能看到太阳的内部和背面吗？（下）, 风从太阳中来（上）, 风从太阳中来（下）, 黑子为什么那么黑（上）, 黑子为什么那么黑（下）
太阳耀斑（上）, 太阳耀斑（下）, 日冕物质抛射（上）, 日冕物质抛射（下）, EIT波（上）, EIT波（下）, 地球有危险吗？
星光灿烂：恒星为什么发光（上）, 星光灿烂：恒星为什么发光（下）, 见微知著：太阳中微子问题（上）, 见微知著：太阳中微子问题（下）, 烈火熔炉：恒星是如何演化的（上）, 烈火熔炉：恒星是如何演化的（下）, 华丽终结：超新星（上）, 华丽终结：超新星（下）
宇宙灯塔：脉冲星（上）, 宇宙灯塔：脉冲星（下）, 时空幻象：黑洞（上）, 时空幻象：黑洞（下）, 气结烟霞：星际物质（上）, 气结烟霞：星际物质（下）, 涅槃重生：恒星的形成（上）, 涅槃重生：恒星的形成（下）
艰难的探索, 突破, 里程碑, 庐山真面目, 收获, 千姿百态的行星轨道, 行星的诞生, 行星的生长, 行星的演化
行星的概率, 行星内部结构, 行星大气探测, 双星系统的行星, 地外文明的概率, 皇冠上的明珠, 未来空间探测, 未来地面探测, 南极之光
Course: Introduction to Data Analytics
Modules:
Introduction to the Program, Course Introduction Video, Introduction to Anke Audenaert, Weekly Introduction: What is Data Analytics?, Introduction: the Power of Data, What Is Data Analytics?, What Does a Data Analyst Do?, A Framework as a Helpful Tool, The OSEMN Framework, Start with a Goal in Mind, Understand the KPIs, Using the OSEMN Framework: Example, Weekly Review: Working with Data
Introduction: Obtaining and Scrubbing Data, It's a Data World, Where to Look for Data, Common Data Formats, Sampled Data, First and Third Party Data, Evaluating the Validity of Data Sources, Scrubbing Your Data Clean, Remove Duplicate Records, Format Your Records, Handle Missing Values, Check for Wrong Values, A Real World Example, Case Study - Obtaining Data, Case Study - Scrubbing Data, Weekly Review: Obtaining and Scrubbing Data
Introduction: Exploring and Modeling Data, Getting to Know Your Data Better, The Language of Data, Creating Visualizations, Examine Data Distributions, Examine Data Relationships, Feature Engineering, Make Predictions from Your Data with Modeling, What Are Models and Why Use Them?, How Do Models Work?, Different Types of Models, A Real World Example, Case Study - Exploring Data, Case Study - Modeling Data, Weekly Conclusion
Introduction: Interpreting Data, Answer Your Business Question with Your Data, Understand the Results of Your Model, Explain Your Findings, The Power of Stories, Explain, Enlighten, and Engage, Telling a Compelling Story, Introduction, Obtaining Data, Scrubbing data, Exploring Data, Modeling Data, Interpreting Data, Weekly Review: Interpreting Data, Congratulations!
Understanding Generative AI: An Overview, Exploring Different GenAI Technologies, Applications of Generative AI in Business, Navigating the Challenging: Concerns with AI, Integrating GenAI with Data Analytics, Improving Data Quality and Generation with GenAI, GenAI in Predictive Analytics, Case Studies: GenAI in Data Analytics
Course: Creatividad, diseño e innovación: Técnicas y herramientas - Proyecto Final
Modules:
Introducción al Curso, ¿Qué es el proceso de diseño (parte 1)?, ¿Qué es el proceso de diseño (parte 2)?, Innovación Disruptiva, Innovación Incremental, Innovación Sostenible, Innovación Frugal, Innovación Abierta
¿Qué podemos hacer para potenciar la creatividad?, Pensar sin pensar directamente - historias, Pensar sin pensar directamente - metáforas, Ingeniería reversa, Listas combinadas, Transferencia de dominios, Proceso compartido - lluvia de ideas, Un ejemplo de lluvia de ideas, ¡Ábrase en caso de emergencia!, ¿Recuerdo todas las estrategias?
Desarrollando un Marco de Referencia de la Innovación, Creando una Estrategia Comprensiva de la Innovación
Desarrollando la Innovación de le Experiencia de Marcas (Parte 1), Desarrollando la Innovación de le Experiencia de Marcas (Parte 2), Desarrollando la Innovación Sostenible
Desarrollando la Innovación en los Procesos de Negocios, Diseñando Nuevos Modelos de Negocios
Course: Mastering Security Management with CDO
Modules:
Welcome, Module 1 Introduction, Touring the CDO Interface: Layout and Key Components, Policy Management Basics with CDO, Benefits and Challenges of Using CDO for Security Management, Managing Policy Life Cycles in CDO, Best Practices for Policy Management with CDO, Module 1 Key Takeaways
Module 2 Introduction, Understanding Object Management, Addressing Challenges of Object Consistency Across Devices, Benefits of Efficient Object Management in CDO, Tips and Tricks for Efficient Object Management in CDO, Troubleshooting Object Inconsistencies in CDO, Leveraging CDO Tools for Object Analysis and Diagnosis, Module 2 Key Takeaways
Module Intro, The Power of Event Logging, Interpreting Log Events, New Video, Advanced Event Logging Features in CDO, Event Logging for Continuous Improvement: A Cyclic Approach, Case Study: Improving Security Measures Through Event Analysis, Module 3 Takeaways
Course: Energy Harvesting
Modules:
Chapter 1-1, Chapter 1-2, Chapter 2, Chapter 3
Chapter 4, Chapter 5, Chapter 6
Chapter 7, Chapter 8
Chapter 9, Chapter 10, Chapter 11-1, Chapter 11-2
Course: Relações Internacionais
Modules:
Relações Internacionais, Estratégia Internacional, OMC, Mercosul
Por que Exportar?, Por que Importar?, Classificação Fiscal, Aula 4 | Escolha de Mercados
Tarifas, Barreiras não Tarifárias, Certificado de Origem, Aula 4 | Licenças
Exportação Indireta, Exportação Direta, Licenciamentos, Franquias e Joint Ventures, IDE
Course: Recommendation Systems on Google Cloud
Modules:
Welcome to Recommendation Systems on Google Cloud
Introduction, Types of Recommendation Systems, Content-Based or Collaborative, Recommendation System Pitfalls, Discussion
Content-Based Recommendation Systems, Similarity Measures, Building a User Vector, Making Recommendations Using a User Vector, Making Recommendations for Many Users, Lab intro: Create a Content-Based Recommendation System, Getting Started with Google Cloud and Qwiklabs, Using Neural Networks for Content-Based Recommendation Systems, Lab Intro: Create a Content-Based Recommendation System Using a Neural Network, Summary
Types of User Feedback Data, Embedding Users and Items, Factorization Approaches, The ALS Algorithm, Preparing Input Data for ALS, Creating Sparse Tensors For Efficient WALS Input, Instantiating a WALS Estimator: From Input to Estimator, Instantiating a WAL Estimator: Decoding TFRecords, Instantiating a WALS Estimator: Recovering Keys, Instantiating a WALS Estimator: Training and Prediction, Lab Intro: Collaborative Filtering with Google Analytics Data, Issues with Collaborative Filtering, Cold Starts
Hybrid Recommendation Systems, Lab Intro: Designing a Hybrid Recommendation System, Lab Intro: Designing a Hybrid Collaborative Filtering Recommendation System, Lab Intro: Designing a Hybrid Knowledge-based Recommendation System, Lab Intro: Building a Neural Network Hybrid Recommendation System, Context-Aware Recommendation Systems, Context-Aware Algorithms, Contextual Postfiltering, Modeling Using Context-Aware Algorithms, YouTube Recommendation System Case Study: Overview, YouTube Recommendation System Case Study: Candidate Generation, YouTube Recommendation System Case Study: Ranking, Summary
Introduction to module, Introduction to Reinforcement Learning, The reinforcement learning framework and workflow, Model-based and model-free reinforcement learning, Value-based reinforcement learning, Policy-based reinforcement learning, Contextual bandits, Applications of reinforcement learning, Lab Intro, Lab Review
Course Summary, Specialization Summary
Course: Delivering Quality Work with Agility
Modules:
Why is it important to be agile to deliver quality work?, You can deliver quality work with agility, Let’s begin with the first topic, Think about it!, Recap, Let’s move to the second topic, What happens when you don’t ask questions?, Build a preliminary action plan, Recap, Let’s move to the third topic, Make sure that you collect as much information as you can, Recap, Let’s move to the fourth topic, How much is too much?, Recap, Let’s move to the fifth topic, Tips to effectively execute your plan of action, Recap, Let’s move to the sixth topic, How do you know that your delivery is successful?, Recap, Let’s move to the seventh topic, Recap
Course: Understanding the U.S. Healthcare Landscape
Modules:
Course Introduction, Meet Your Faculty: Gary Young, Module Introduction, Fundamentals of Traditional Payment Arrangements - Part 1, Fundamentals of Traditional Payment Arrangements - Part 2, Payment Innovations, Case Study of Payment Innovations, Mayo Clinic's Payment Model
Module Introduction, Development of Prescription Drugs in the U.S., Regulation of Prescription Drugs in the U.S., Initiatives Addressing the Cost and Value of Prescription Drugs, Initiatives Addressing the Cost and Value of Prescription Drugs Cont.
Module Introduction, Key Differences Between the U.S. Healthcare System and Other Systems Around the World - PT. 1, Key Differences Between the U.S. Healthcare System and Other Systems Around the World - PT. 2, International Comparison of Spending and Outcomes
Module Introduction, Tax Exemptions for Nonprofits: Requirements, Tax Exemptions for Nonprofits: Controversies, Tax Exemptions for Nonprofits: Federal Policies, Tax Exemptions for Nonprofits: State and Local, Doing Well by Doing Good PT. 1, Doing Well by Doing Good PT. 2, Course Conclusion
Course: Giving Feedback
Modules:
Welcome to Giving Feedback!
Practice the Solution: Listening for messages of identity, Infographic: Fixed vs. growth mindset, Listening for the difference: Key Takeaways
Practice the Solution: Building a response repertoire, Infographic: The power of “yet”, Recognizing potential with words: Key Takeaways
Practice the Solution: Shifting mindsets, Infographic: Reflecting on mindset, Changing someone’s mind: Key Takeaways
Practice the Solution: Providing growth-mindset feedback, Infographic: Creating a culture of growth, Feedback to grow on: Key Takeaways
Final Thoughts
Course: Vital Signs: Understanding What the Body Is Telling Us
Modules:
1.1 Basic Heart Anatomy, 1.2a Your Beating Heart, 1.2b ECG Demonstration, 1.3a Heart Valves, Part 1, 1.3b Heart Valves, Part 2, 1.3c Assessing Heart Rate Demonstration, 1.4a Cardiac Cycle, Part 1, 1.4b Cardiac Cycle, Part 2, 1.4c Assessing Pulse Demonstration, 1.5 Cardiac Output
2.1 Introduction to the Blood Vessels, 2.2 Blood Vessel Structure, 2.3 Blood Circulation, 2.4a Maintaining Blood Flow, 2.4b Assessing Blood Pressure Demonstration, 2.5 Blood Pressure Regulation
3.1 Introduction to Metabolism, 3.2a Cellular Respiration, Part 1, 3.2b Cellular Respiration, Part 2, 3.3 Assessing Metabolic Rate Demonstration, 3.4 Metabolic Lab Discussion
4.1 Introduction to Thermoregulation, 4.2 Maintaining Body Temperature, 4.3 Hypothermia & Hyperthermia, 4.4 Fever, 4.5 Assessing Body Temperature Demonstration
5.1 Basic Anatomy of the Respiratory System, 5.2 Anatomy of Ventilation, 5.3 The Mechanics of Breathing, 5.4 Gas Exchange, 5.5 Regulating Respiration Rate, 5.6 Assessing Respiration Rate Demonstration, 5.7 Regulating Respiration Rate Review, 5.8 Assessing Breath Sounds Demonstration
6.1 The Anatomy & Physiology of Pain, Part 1, 6.2 The Anatomy & Physiology of Pain, Part 2, 6.3 The Anatomy & Physiology of Pain, Part 3, 6.4 Types of Pain, 6.5 Assessing Pain Demonstration, 6.6 Social, Cultural & Psychological Influences on Pain, 6.7 The Treatment of Pain, 6.8 Wrapping Up Vital Signs
Course: Gemini for Security Engineers - Bahasa Indonesia
Modules:
Memperkenalkan Gemini untuk engineer keamanan, Gemini untuk Membuat Keputusan Keamanan
Course: Foundations of Career Navigating and Coaching
Modules:
Introduction to Career Coach and Navigator Professional Certificate, Course Introduction: Foundations of Career Coaching and Navigating, What is Career Coaching and Navigating?, Career Coach and Navigator Roles, Changing People's Lives, Steps to Career Navigating and Coaching, Meet a Career Navigator, Career Navigators: A Day in the Life, Overview of the Job Seeking Experience, Profiles of Job Seekers, Introduction to Skills- and Competency-Based Career Development, Benefits of Skills- and Competency-Based Career Development
Module 2 Introduction: Theories Behind Career Coaching and Navigating, What is a Theory and Why is it Important?, Maslow's Hierarchy of Needs, Frank Parsons' Trait and Factor Theory, Super’s Developmental Self-Concept Theory, Holland Theory of Vocational Types, Bandura’s Social Cognitive Theory, Introduction to Career Development Theory: Call to Action
Understanding the Coach-Client Relationship, Coordination and Support Roles, Setting Expectations, Cultural Competency, Establishing Trust with Clients, Maintaining a Navigator/Coach Presence, What is a Coaching Agreement?, Setting Expectations, Career Services Plans, Defining Career and Supportive Services, Ethical Guidelines, Preventing Discrimination, Conflict of Interest, Legal Concerns, When to End a Coaching Agreement
What is the Human-Centered Approach?, Cycle of Support, Crisis Intervention, Crisis Intervention Example, Self-care for Career Navigators and Coaches, Trust, Safety, Respect and Empathy, Cultural Sensitivity and Racial Equity, Disabilities and Rehabilitation Options, Human-centered Communication, What is Trauma-informed Care?, Interpersonal Communication, Establishing Rapport, Active Listening, Powerful Questioning, Direct Communication, Verbal Communication Skills, Non-verbal Communication
Course: Python Fundamentals and Data Science Essentials
Modules:
Installation of Python and Anaconda, Python Introduction, Variables in Python, Numeric Operations in Python, Logical Operations, If Else Loop, For While Loop, Functions, Strings: Part 1, Strings: Part 2, List: Part 1, List: Part 2, List: Part 3, List: Part 4, Tuples, Sets, Dictionaries, Comprehension
Introduction, NumPy Operations: Part 1, NumPy Operations: Part 2
Introduction, Series, DataFrame, Operations: Part 1, Operations: Part 2, Indexes, loc and iloc, Reading CSV, Merging: Part 1, groupby, Merging: Part 2, Pivot Tables
Linear Algebra: Vectors, Linear Algebra: Matrix: Part 1, Linear Algebra: Matrix: Part 2, Linear Algebra: Going from 2D to nD: Part 1, Linear Algebra: Going from 2D to nD: Part 2
Matplotlib, Seaborn, Case Study, Seaborn on Time Series Data
Introduction to Machine Learning, Types of Machine Learning, Introduction to Linear Regression (LR), How LR Works?, Some Fun with Math Behind LR, R Square, LR Case Study: Part 1, LR Case Study: Part 2, LR Case Study: Part 3, Residual Square Error (RSE)
Prerequisite for Gradient Descent: Part 1, Prerequisite for Gradient Descent: Part 2, Cost Functions, Defining Cost Functions More Formally, Gradient Descent, Optimization, Closed Form Versus Gradient Descent, Gradient Descent Case Study
Introduction to Classification, Defining Classification Mathematically, Introduction to KNN, Accuracy of KNN, Effectiveness of KNN, Distance Metrics, Distance Metrics: Part 2, Finding k, KNN on Regression, Case Study, Classification Case 1, Classification Case 2, Classification Case 3, Classification Case 4
Introduction, Sigmoid Function, Log Odds, Case Study
Introduction, Example: Part 1, Example: Part 2, Optimal Solution, Case Study, Regularization, Ridge and Lasso, Case Study, Model Selection, Adjusted R Square
Course: Chemical Engineering Thermodynamics 1
Modules:
1-1 The Nature of Thermodynamics, 1-2 The Internal Energy, 1-3 The Basic Problem of Thermodynamics
2-1 Basic Concepts, 2-2 Work & Heat (1), 2-3 Work & Heat (2), 2-4 The First Law, 2-5 Internal Energy, 2-6 Internal Energy & Constant Volume Process, 2-7 Enthalpy & Constant Pressure Process
3-1 Phase Behavior of Pure Substances, 3-2 Ideal Gas & Ideal Gas State (1), 3-3 Ideal Gas & Ideal Gas State (2), 3-4 Mechanically Reversible Process, 3-5 Adiabatic Process-Constant Heat Capacities
3-6 Real Gases(Virial Equation of States), 3-7 Real Gases(Cubic Equation of States) (1), 3-8 Real Gases(Cubic Equation of States) (2), 3-9 Real Gases(Acentric Factor), 3-10 Real Gases(Generalized Correlations)
4-1 Heat Effects, 4-2 Sensible Heat Effects, 4-3 Standard Heat of Reaction, 4-4 Temperature Dependence of Heat of Reaction
4-5 The Second Law, 4-6 Heat Engines, 4-7 Carnot Engine with Ideal Gas Working Fluid, 4-8 Clausius Inequality
5-1 Criteria for Spontaneous Change, 5-2 Fundamental Property Relations, 5-3 Gibbs Energy
5-4 Residual Properties (1), 5-5 Residual Properties (2), 5-6 Residual Properties (3), 5-7 Two Phase Systems
Course: SAS Macro Language
Modules:
Course Overview, Introduction, Benefits of Using SAS Macro, Efficiency of Macro-Based Applications, Developing Macro Applications
Introduction, SAS Programming Languages, Program Flow, Tokens, Tokenization, Tokenizing Code with Macro Triggers, Macro Variables, Creating Macro Variables With %LET, Deleting Macro Variables, Resolving Macro Variables, Using SYMBOLGEN to Troubleshoot Macro Variable References, Delimiting Macro Variable References, Displaying Macro Variables, Automatic Macro Variables, Updating Macro Variables
Introduction, Using Macro Functions, SAS Functions and Macro Functions, Processing Text with Macro Functions, Executing SAS DATA Step Functions During Tokenization, Evaluating Arithmetic Expressions, Using Special Characters, Demo: Using Macro Functions, Creating Macro Variables in PROC SQL, Demo: Creating Macro Variables with a PROC SQL Query, Scenario: Create Macro Variables in a DATA Step, DATA Step versus Macro Execution Timing, Creating Macro Variables in a DATA Step, Creating Macro Variables During DATA Step Execution, Demo: Creating Macro Variables with the DATA Step, Comparing the DATA Step and PROC SQL, Scenario: Using Indirect References, Forward Rescan Rule, Demo: Indirect References to Macro Variables
Introduction, Defining a Macro, Using the MCOMPILENOTE Option, Calling a Macro, Using the MPRINT Option, Macro Parameters, Demo: Defining a Macro with Parameters, Macro Keyword Parameters, Mixed Parameter Lists, Global Macro Variables, Local Macro Variables, Macro Variable Scope, Controlling Macro Variable Scope, Resolving Macro Variables, Nested Macro Calls, Conditional Processing, Conditionally Executing Program Steps, Scenario: Nested Conditional Processing, Conditionally Generating Program Steps, Conditionally Generating Complete and Partial Statements, Using the MLOGIC Option, Demo: Conditional Processing, Scenario: Generating Repetitive Code, %DO Iterative Statement, Demo: Iterative %DO Loops, Using a %DO Loop with Indirect References, Demo: %DO Loops with Indirect References, %DO WHILE Loops, %DO UNTIL Loops
Introduction, Compiled Macros, Autocall Macro Facility, Calling Autocall Macros, Adding Personal Macros to an Autocall Library, Demo: Macro Autocall Libraries, Develop a SPLITTABLE Macro Application, Demo: Generating Data-Dependent Code, Enhancing Macro Applications, Validating Parameters, Additional Validation Techniques, Demo: Validating Parameters, Documenting a Macro, Complex Macro Enhancements
The Business Problem and Required Deliverables, The Case Study Files, Select a Case Study Guide
Course: Write Your First Novel
Modules:
Pitch Your Idea for Your Novel, Create Your Logline, Create The Dramatic Question
Define your characters, Outline Chapter One
The Structure of Your Novel, Write Chapter One
Outline Chapter Two, Write Chapter Two
Write Chapter Three
Write Chapter Four
Write Chapter Five
Write Chapter Six
Write Chapter Seven
Table Read Act One
Write Chapter Eight
Write Chapter Nine
Write Chapter Ten
Write Chapter Eleven
Write Chapter Twelve
Write Chapter Thirteen
Write Chapter Fourteen
Table Read Chapters Eight to Fourteen
Write Chapter Fifteen
Write Chapter Sixteen
Write Chapter Seventeen
Write Chapter Eighteen
Write Chapter Nineteen
Write Your Final Chapter
Table Read Chapters Fifteen to Twenty
Write A Prologue, Write A Synopsis, Self Publishing, Thank You and Congratulations
Course: AstroTech: The Science and Technology behind Astronomical Discovery
Modules:
W1 Part 1 - Our Knowledge of the Universe, W1 Part 2 - Revolutions in Astronomy, W1 Part 3 - Why Astronomy is Hard, W1 Part 4 - The Horse and Cart
W2 Part 1 - Picturing the Universe, W2 Part 2 - The Sun - is every star like it?, W2 Part 3 - How Telescopes Work, W2 Part 4 - We are Stardust, W2 Part 5 - Even Bigger Telescopes?
W3 Part 1 - Our Enemy the Atmosphere, W3 Part 2 - Hunting for Black Holes, W3 Part 3 - Rockets, Spacecraft, and Orbits, W3 Part 4 - Hunting for Black Holes Part II, W3 Part 5 - Can Space Missions get Cheaper?, W3 Bonus video - A Sense of Scale
W4 Part 1 - Catching the Light from the Stars, W4 Part 2 - Galaxies since the Dawn of Time, W4 Part 3a - Light, Matter, and CCDs, W4 Part 3b - Infrared Detectors, W4 Part 4 - Galaxies since the Dawn of Time Part II, W4 Part 5 - Another Revolution in Detector Technology?
W5 Part 1 - Computers Everywhere, W5 Part 2 - Killer Rocks, W5 Part 3 - Computers, Databases, and the Internet, W5 Part 4 - Killer Rocks Part II, W5 Part 5 - Hitting the Buffers?
W6 P1 - Light, Atoms, and Motion, W6 P2 - The Accelerating Universe and Dark Energy, W6 P3 - How Spectrographs Work, W6 P4 - Dark Energy Part II, W6 P5 - A Perfect Spectrograph?
Course: Value and Individual Decision Making
Modules:
1.1 Value of Education
2.1 Specialization: An Overview, 2.2 Specialization: Process, 2.3 Specialization: Philosophy, 2.4 Specialization: Prerequisites, 2.5 Specialization: Assumptions
3.1 Time Value of Money (TVM)  -  Context & Terminology, 3.2 Simple Future Value (FV), 3.3 Simple FV..., 3.4 Simple FV: Example, 3.5 Simple FV: Example 2
4.1 Simple Present Value (PV), 4.2 Recap: Simple TVM
5.1 FV of Annuity: Concept, 5.2 FV of Annuity: Example 1, 5.3 FV of Annuity: Example 2, 5.4 PV of Annuity: Concept, 5.5 PV of Annuity: Examples
6.1 A Loan: The Power of Finance, 6.2 Compounding, 6.3 Valuing Perpetuities, 6.4 Mega Example: Putting it All Together!, 6.5 Recap of Course
Course: Iniciar o processo de design de UX: criar empatia, definir e idealizar
Modules:
Introdução ao curso 2: criar empatia, definir e idealizar, Emily – O poder da pesquisa de UX, Colaboração e feedback sobre projetos de portfólio, Introdução à pesquisa de UX, Christie – Design e a importância do feedback, Escolher o método de pesquisa certo, Compreender as vantagens e desvantagens dos métodos de pesquisa, Craig - Minha jornada para UX, Identificar os tipos de vieses na pesquisa de UX, Deana - Identificar vieses na pesquisa de UX, Finalização: Como integrar pesquisas no processo de design
Desenvolver empatia pelos usuários, Recrutar participantes para entrevistas, Preparar-se para entrevistas de usuários, Realizar entrevistas com os usuários, Mapas de empatia, Identifique aspectos problemáticos do usuário, Entender personas, Conclusão: desenvolver empatia pelos usuários e definir aspectos problemáticos
Boas-vindas à semana 3, Criar histórias de usuários, Considere casos extremos, Ayan - Exemplo real de casos extremos, Criar um mapa da jornada do usuário, Considere a acessibilidade quando praticar a empatia, Entenda o efeito da rampa de meio-fio, Finalização: Criação de histórias e mapas de jornada do usuário
Boas-vindas à semana 4, Criar declarações de problemas, Definir declarações de hipóteses, Determinar uma proposta de valor, Entenda os fatores humanos, Explore os princípios da psicologia que influenciam o design, Finalização: Como definir problemas de usuários
Boas-vindas à semana 5, Entender a idealização no design, Explorar muitas ideias, Reconhecer as necessidades de negócio durante a idealização do design, Definir o escopo da concorrência, Limites de auditorias competitivas, Etapas para realizar uma auditoria competitiva, Usar insights de auditorias competitivas para idealizar, Vanessa - Minha jornada até a UX, Usar o formato “Como podemos” para idealizar, Usar o método Crazy Eights para idealizar, Durante a idealização, considere as jornadas dos usuários, Finalização: Como idealizar soluções de design, Parabéns por concluir o Curso 2: Empatia, definição e idealização
Course: L'avenir de la décision : connaître et agir en complexité
Modules:
À propos du cours, Construire son chemin sur le MOOC, FAQ
Mot problème et non mot solution, Les paradoxes de la complexité : système, tout, partie, Complémentarité de vérités apparemment contraires, Principes et paradigmes d'une connaissance complexe, Enseigner la complexité pour vivre, Les contradictions objectives qui complexifient la vie au quotidien (Laurent Bibard), La complexité au quoditien, François L'Yvonnet
Incertitude dans la vie personnelle, Incertitude d'origine cérébro-mentale, Incertitude historique, Écologie de l'action, Principes complémentaires : moyens et fins, risques et précautions, réalisme et utopie, Incertitude du futur, Risque, incertitudes et complexité en Finance (François Longin), Complexité et incertitudes dans la prise de décisions, trois petits problèmes de décisions (Laurent Alfandari), Interview de praticien : Frédéric Eucat, gérer l'incertitude dans sa profession
Nature de la connaissance, Les risques d'erreur, Risques d'erreur dans la décision et dans la relation, Idées et erreurs positives, Protection contre l'erreur, Sciences et erreurs, Modéliser les interactions complexes (Guillaume Chevillon), De la perception à la formation des attitudes en marketing (Emmanuelle Le Nagard), Interview de praticien : Caroline Nowacki, apprendre pour mieux gérer la complexité
Trinité humaine : individu-espèce-société, L'individu au delà de l'homo sapiens, La complexité sociale, société en devenir, Nature et culture, sexe et genre, Unité-diversité humaine, L'aventure humaine, Complexité et Big Data (Nicolas Glady), Éducation et condition humaine (Jean-Michel Blanquer), Témoignage de praticien : Agnès Kerecki, la diversité humaine
Mondialisation, occidentalisation, développement, Les aspects positifs et négatifs de cette mondialisation, Où va ce processus ? Le probable et l'improbable., Enveloppement - développement / unité - diversité, L'énigme du futur, la transhumanité, Éthique et humanisme, Pourquoi l'industrie financière est-elle complexe ? (Michel Baroni), La complexité institutionnelle et ses conséquences (Anne-Claire Pache), Témoignage de praticien : Éléonore Iriart, société monde
Entreprise et complexité extérieure - intérieure, Organisation - centralisme - hiérarchie - centralisation, Contrainte et résistance collaboratrice, La compétitivité, Entreprise communauté de destin, entreprise citoyenne, Les sciences de gestion à l'heure de la complexité (Philippe Lorino), Pourquoi faut-il diriger avec la complexité ? (Hamid Bouchikhi), Thierry Taboy, appréhender la complexité dans l'entreprise, Conclusion générale d'Edgar Morin, Session Live du 24 novembre 2014, Edgar Morin
Course: Blockchain Security
Modules:
Welcome to blockchain security!, Fundamentals of blockchain security, What is the blockchain?, The promises of blockchain, Inside the blockchain hype, Structure of the blockchain, The blocks, The chains, What is public-key cryptography?, How does public-key cryptography work?, Public-key cryptography in the blockchain, Security assumptions of public-key cryptography, Poor random number generation, Lost/stolen private keys, Quantum computing, What is a hash function?, Properties of hash functions, Hash functions in the blockchain, Blockchain security hash key functions, Fundamentals of blockchain security recap
Consensus algorithm security overview, Why does blockchain need consensus?, The Byzantine generals problem, Security via scarcity, Common blockchain consensus algorithms, The longest chain rule, Introduction to proof of work, Inside PoW mining, Attacking PoW consensus, The 51% attack, Denial of service: artificial difficulty increases, Introduction to proof of stake, Choosing the block creator, Attacking PoS consensus, XX% attack and the PoS "timebomb", Fake stake attacks, Long-range attacks, Nothing at stake problem, Sour milk attack, Concensus algorithm security recap
Blockchain in action overview, The blockchain ecosystem, Inside the node, How blocks are created, Attacking block creation, Denial-of-service attacks, Frontrunning, Selfish mining, SPV mining, Attacking blockchain nodes, Blockchain software misconfiguration, Denial of service, Malicious transactions, Attacking the blockchain network, Eclipse attack, Routing attack, Sybil attack, Blockchain in action recap
Smart contract security overview, The world computer, Smart contracts, General programming vulnerabilities, Arithmetic vulnerabilities, Arithmetic vulnerabilities code example, Right-to-left control character, Blockchain vulnerabilities, Access control, Bad randomness, Denial of service, Frontrunning vulnerabilities, Frontrunning vulnerabilities code example, Timestamp dependence, Ethereum vulnerabilities, Denial of service, Reentrancy, Reentrancy code example, Short addresses, Unchecked return values, Smart contract security recap
Beyond the basics of blockchain overview, Alternative distributed ledger architectures, Introduction to DAGs, Introduction to block lattices, Introduction to sidechains, Second-level blockchain protocols, How a state channel works, Advanced cryptography in blockchain, Multisignatures, Zero-knowledge proofs, Stealth addresses, Ring signatures, Commitment schemes, Beyond the basics recap
Course: The Outcomes and Interventions of Health Informatics
Modules:
Motivation: Examples, Should You?, Should You? II: HIMSS Framework, Does It Work?: Testing, Is It Used? Does It Accomplish Goals?
Clinical Decision Support, Types of Clinical Decision Support, Design Phase, Define Phase, Ideate Phase, Prototype Phase, Test Phase, Deploy Phase
What's in a Rule?, What's in a Rule? Part II, The Language of Rules, Data Dictionary and Taxonomy, Value Sets, Semantic Networks, Ontology
Knowledge and Decision Support, Expert Knowledge, Decision Support Committee, Eliciting Expert Knowledge, The Literature, Data -- Knowledge, Statistical Methods, AI Dangers, Summary
Course: Fundamentals of Benefit Strategies
Modules:
Introduction to Benefits Strategies, Communication is Critical, Must-Have Benefits, Other Regulatory Requirements
Strategy Considerations, Budget Considerations: Using a Broker, Designing a Benefits Strategy, Formulating and Communicating Benefit Plans, Case Study: Evaluating Blue Space Tech's Benefits Strategy
Compensation and Benefits Analyst’s Role: Administering Benefit Plans, Effective Communication Strategies, Course Completion: Congratulations!
Course: Modern Hebrew Poetry   שירה עברית מודרנית
Modules:
First Session, Second Session, third session, Fourth Session, Fifth Session, sixth Session, Appendices - Concept and Approaches
First Session, Second Session, Third Session, Fourth Session, Fifth Session, Sixth Session
First Session, Second Session, Third Session, Fourth Session, Fifth Session
First Session, Second Session, Third Session, Fourth Session, Fifth Session, Sixth Session
First Session, Second Session, Third Session, Fourth Session, Fifth Session
First Session, Second Session, Third Session, Fourth Session, Fifth Session, Sixth Session
First Session, Second Session, Third Session, Fourth Session, Fifth Session, Sixth Session, Seventh Session, Eighth Session
First Session, Second Session, Third Session, Fourth Session, Fifth Session, Sixth Session, Addition to Lesson 8
First Session, Second Session, Third Session, Fourth Session
First Session, Second Session, Third Session, Fourth Session, Fifth Session, Sixth Session, Seventh Session, Eighth Session
First Session, Second Session, Third Session, Fourth Session, Fifth Session, Sixth Session, Seventh Session
First Session, Second Session, Third Session, Fourth Session, Fifth Session, Sixth Session, Seventh Session
First Session, Second Session, Third Session, Fourth Session, Fifth Session, Sixth Session
First Session, Second Session, Third Session, Fourth Session, Fifth Session, Sixth Session, Seventh Session, Eighth Session
Course: Religious Transformation in Early China: the Period of Division
Modules:
M06.1 Basic facts, M06.2 Buddhism, Daoism and the state, M06.3 Liang Wudi, M06.4 Conquest or sinification?, M06.5 Liminality
M07.1.1 Who are the transcendents, M07.1.2 Stories of transcendents, M07.1.3 Elite or popular?, M07.1.4 The world of the dead before Buddhism, M07.2.1 Basic facts, M07.2.2 Lu Xiujing, M07.2.3 Initiation, M07.3 The Buddhist community
M08.1 Buddhism as a public religion, M08.2 The rule of law, M08.3 Orality and dualism, M08.4 In sum, M08.5 The Daoist petition, M08.6 Daoism in North China, M08.7 Lingbao Daoism, M08.8 The Lingbao fast and Lu Xiujing
M09.1 Translated and indigenous Buddhist scriptures, M09.2 Buddhist orality and logic, M09.3 Daoist writs, M09.4 The visual and the spatial, M09.5 Lord Lao, M09.6 The Celestial Worthy
M10.1 New Buddhist literary genres, M10.2 Buddhist influence on Chinese poetry, M10.3 The Lotus and Vimalakirti sutras, M10.4 Daoist poetry
M11.1 Mountains as sacred sites, M11.2 Mountains and revelation, M11.3 Imperial and Daoist convergence, M11.4 The “Scripture of the Man-Bird Mountain”, M11.5 The Daoist subject, M11.6 Buddhist sacred geography
M12.1 Return and repression of the shamans, M12.2 Buddhist and Daoist responses to shamanism
Course: Introduction to Digital Transformation Part 1
Modules:
The Digital Revolution, Rise of the Digital Age, Exponential Evolution of Technology, Competing on Technology, Changing Basis of Competition, Deconstructing the Value Chain, Digital Transformation at Pitney Bowes, Interview with Marc Lautenbach, Interview with Lila Snyder, Key Takeaways - Digital Revolution
Introduction - Economics of Digital Disruption, A Historical Perspective, Disruption Is Not New, The Five Domains of Digital Transformation, Environmental Analysis and the Competitive Life Cycle, The Competitive Life Cycle in Detail, The Liability of Incumbency, The Economics of Innovation, A Portfolio View, Key Takeaways - Economics of Digital Disruption
Introduction - The Path to Digitization, Mapping Your Digital Transformation, Improving Judgment, Creating Value, Leveraging Ecosystems, Driving Growth, Starbuck's Digital Transformation, Key Takeaways - Path to Digitization
Waymo Case Study