dipopotamus/custom_instruct_coursera_course_module_list huggingface dataset:
Course: Global Supply Chain Management
Modules:
Introduction: evolution and governance, The prisoner’s dilemma, The risk pooling effect, The bullwhip effect, Recording of Global Supply Chain Management Live Session on 22-01-20 20:04:25 [05:24]
Core competencies and transaction costs, A simplified tool for the make or buy decision, Functional versus innovative products, Efficient versus responsive supply chains, Flow options in supply chains, Relationship with customers, Relationship with suppliers
The importance of demand management, Causes and remedies of the bullwhip effect, Forecasting: quantitative approach, Forecasting: qualitative approach, Recording of Live Session - Global Supply Chain Management on 22-06-29 20:06:07 [25:35]
Why do stocks build up?, Types of stock, Material requirements planning (MRP), Q Model, T Model, Safety stocks, Recording of Global Supply Chain Management Live Session on 22-02-10 20:03:05 [47:22], Recording of Global Supply Chain Management Live Session on 22-02-10 20:50:46 [40:04], Recording of Live Session - Global Supply Chain Management on 22-07-07 20:08:18 [18:58]
The triple bottom line, Implications of the triple bottom line for supply chains, Closed loop - supply chains challenges and opportunities, Technologies of industry 4.0, Implications of the I4.0 hardware technologies for supply chains, Implications of the I4.0 software technologies for supply chains, Recording of Live Session - Global Supply Chain Management on 22-07-12 20:10:54 [15:12]
Course: A Public Health Approach to Hearing Loss and Aging
Modules:
Rationale and guiding questions for studying aging, hearing, and public health, Dementia, Linking hearing loss to function: what are the pathways?, Introduction to Epidemiologic Study Designs
Hearing Loss and Dementia, Costs of Care
Hearing in Health Care, Workforce Policy and Device Regulation, Community-Delivered Hearing Care in Practice
Course: Cybersecurity in Healthcare (Hospitals & Care Centres)
Modules:
Introduction to the course, Introduction to the module, What is cybersecurity?, Challenges and opportunities for healthcare, Types of data in healthcare, Digital medical technologies, Threats to cybersecurity in healthcare, Conclusion to the module
Introduction to module 2, Human behaviour in cybersecurity, Social engineering, Social media use, Conclusion to the module
Introduction to the module, Data breaches, Introduction to hacking, Malware, Conclusion to the module
Introduction to the module, Cyber hygiene, Digital communication and safe emailing, Encryption, Device management, Password management, Software, updates, and backups, Conclusion to the module
Introduction to the module, What is security culture?, Policies, procedures, and workarounds, Building a (cyber)security culture, Conclusion to the module, Course wrap up
Course: الاستراتيجية التنافسية
Modules:
مقدمة, إعداد اللعبة, التخلص من الاستراتيجيات المسيطر عليها, توازن ناش, معضلة السجين, إعداد اللعبة, الاستقراء العكسي, التهديدات ذات المصداقية, الخلاصة
مقدمة, أسباب التعاون, التكرار المحدود, الاستقراء العكسي, التكرار غير المحدود, العوامل التي تؤثر على التعاون, الالتزام العدواني, الالتزام التعاوني, الخلاصة
مقدمة, المكملات: أمثلة وتعريفات, الاستراتيجيات العامة, العوامل الخارجية الإيجابية, أمثلة, الشراكات الاستراتيجية, الخلاصة
مقدمة, جاذبية السوق, عوائق دخول السوق الهيكلية, عوائق دخول السوق الاستراتيجية, الالتزام / إعادة تشكيل سلسلة القيمة, اقتصاد الجودو / السوق المتخصص, عوائق دخول السوق الهيكلية / الالتزام, التسعير المحدد / التسعير الطارد للمنافسين, حق الشفعة, الخلاصة
مقدمة, مراحل البحث والتطوير, أنواع الابتكار, السوق التنافسي, الشركة المحتكرة, شركة محتكرة مع تهديد دخول السوق, الابتكار في ظل المنافسة, براءات الاختراع غير المستخدمة, الخلاصة
مقدمة, النموذج النظري, تعديل افتراضات النموذج, مقدمة, التمايز الأفقي, التمايز الرأسي., الاستراتيجيات العامة, عالق في المنتصف, الخلاصة
Course: Population Health: Predictive Analytics
Modules:
Welcome to the course Predictive Analytics, How to succeed in your online class?
Introduction, Introduction to predictive analytics, Predictive analytics in prevention, Predictive analytics diagnosis, Predictive analytics in intervention, To conclude
Introduction, Design issues, Sample size, Overfitting, Bootstrapping, To conclude
Introduction, Missing values, Continuous predictors, Model selection, Model estimation, To conclude
Introduction, Performance measures, Validation approaches, Updating approaches, Predictive analytics for Aruba, To conclude
Course: Approximation Algorithms
Modules:
Introduction to Approximation Algorithms
A greedy algorithm for load balancing, Analysis of the greedy-algorithm, The ordered scheduling algorithm
The vertex-cover problem, An approximation algorithm  for vertex-cover, A brief introduction to linear programming, Weighted vertex-cover, LP relaxation for weighted vertex-cover, LP relaxation: Analyzing approximation ratio
Polynomial-time approximation schemes, Knapsack Problem, A dynamic-programming algorithm for knapsack, A PTAS for knapsack, Analysis of the PTAS for knapsack: approximation ratio, Analysis of the PTAS for knapsack: running time
Course: How to Develop Standard Operating Procedures (SOPs)
Modules:
Introduction to the Course & Meet Your Instructor, What is a Standard Operating Procedure?, The Purpose of Standard Operating Procedures, Examples of Standard Operating Procedures, SOP Practice: Part 1 Preparation, The Characteristics of an SOP, How to Develop SOPs?, Monitoring and Maintaining SOPs, The Challenge of SOPs, SOP Practice: Part 2 Development, Lean Management, Leader Standard Work, Mistake Proofing, SOP Practice: Part 3 Leader Standard Work, Congratulations and Continuous Learning Journey
Course: Cognitive Vitality in a Dynamic Workplace
Modules:
Territorial Acknowledgement and Commitment to Conciliation
Mental Wellness Foundation Introduction, 8 Tips to Build Psychological Safety, Inclusive Horizons Introduction, How to End Mental Health Stigma in Virtual Work Environments, How to Foster a More Diverse and Inclusive Virtual Workplace, Mental Wellness Map Introduction, Strategies for Cognitive Wellness in the Workplace
Distress Detector Introduction, How to Spot the Signs of Mental Distress, Seeking Assistance: Encouraging Help-Seeking Behaviour Introduction, How to Encourage Help-seeking Behaviour in Others
Compassion in Conversation Introduction, How to Have Effective Conversations, Resource Efficiency: Providing Mental Health Support Introduction, Peer Support for Mental Health at Work, Understanding Accommodation Introduction, Accommodating Mental Health Conditions in the Workplace
Managing a Crisis Introduction, How to Help Someone Manage a Mental Health Crisis, Post-Crisis Harmony Introduction
Policy Primer: Reviewing Mental Health Policies Introduction, Mental Health Policy Essentials, Integration Insights: Aligning with HR Policies Introduction, The Link Between Learning and Wellbeing
Course: Deep Learning with PyTorch
Modules:
Course Introduction, Logistic Regression Cross Entropy Loss
Softmax, Softmax Function: Using Lines to Classify Data Prediction, Softmax PyTorch
What's a Neural Network?, More Hidden Neurons, Neural Networks with Multiple Dimensional Input, Multi-Class Neural Networks, Backpropagation, Activation Functions
Deep Neural Networks, Deeper Neural Networks: nn.ModuleList(), Dropout, Neural Network initialization Weights, Gradient Descent with Momentum, Batch Normalization
Convolution, Activation Functions and Max Polling, Multiple Input and Output Channels, Convolutional Neural Network, Convolutional Neural Network for MNIST, Torch Vision Models, Graphics Processing Unit
Congratulations and Next Steps, Thanks from the Course Team
Course: Engineering Project Management: Risk, Quality, Teams, and Procurement
Modules:
Meet the Professors, Introduction to Specialization
Introduction and Objectives, Risk Management Processes, Identifying Risks, Developing a Risk Management Plan, Analyze and Prioritize Risks, Develop Risk Responses, Summary, Kaz and Tom Weekly Conclusion, Assignment Overview
Introduction and Objectives, What is Quality Management?, Quality Management Plan, Cost of Quality, Tools for Assessing Quality, Control Quality, Kaz and Tom Weekly Conclusion, Assignment Overview
Introduction and Objectives, Project Resource Management, Plan Resource Management, Estimate Activity Resources, Acquire Resources, Develop Team, Manage Team, Control Resources, Kaz and Tom Weekly Conclusion
Introduction and Objectives, Project Procurement Management, Project Procurement Plan, Contract Types, Executing Procurement, Kaz and Tom Weekly Conclusion
Thanks and Good Luck
Course: Games, Sensors and Media
Modules:
Welcome!, Reverse Geocode Concept, Reverse Geocode Design, Reverse Geocode Case Study 01, Reverse Geocode Case Study 02, Intro to GeoFences, Simulating Location, GeoFence Case Study 01, GeoFence Case Study 02, GeoFence Case Study 03, GeoFence Case Study 04, Sensor Overview, Raw Acceleromter Case Study 01, Raw Acceleromter Case Study 02, Device Motion Case Study, Reference Frame Case Study, User Acceleration Case Study
Light Sensor Case Study 01, Light Sensor Case Study 02, Intro to Audio 01, System Sound Services Case Study, Intro to Audio 02
Intro to SpriteKit, Make Pong, Starting your game, Break-Out Case Study 01, Intro to Physics Engine, Break-Out Case Study 02, Intro to Multi-Touch Events, Break-Out Case Study 03, Intro to Collisions 01, Intro to Collisions 02, Break-Out Case Study 04
SKActions - explosions and sounds, SKActions Code Check, Animating Textures, Intro to Particle Systems, Particle System Code Check, Break-Out Case Study 05, Intro to Game Center
Course: Rebuilding Our Relationship with Food
Modules:
Introduction to Rebuilding Our Relationship with Food, How Commercial Food Production Separates Us from Our Food, Why Practice Food Mindfulness?, Global Health and the Western Diet, The Two Questions, Food and Optimal Performance (at work and at play)
Why Diets Fail: The Case for Food Mindfulness, Is This Food Worthy of Me?, How Food Choices Shape Our Food Preferences, Listen to Your Food, Global Perspectives on Food
Practicing Self-Compassion and Investing in Your Most Valuable Asset, Be Kind to Yourself, Moderate Amounts, Optimal Taste Experience, You Are Not Alone
Daily Practices for Strengthening Your Relationship with Food, Lonely Mouth, Practicing Food Mindfulness, Food Mindfulness
Course: Virtual Teacher Final Project
Modules:
About the Course, Honor Code and Plagiarism, Final Project and Peer Review Timeline, Grading Logistics, FAQ, Pre-Course Survey, Project Overview, Rubric for Final Project, Sample Assignment
Optional Activities, Optional Resources, Links to Relevant Course Content
Feedback Peer Review
Final Project Submission
Evaluate the Work of Your Peers
A Message from UCI Extension, Post-Course Survey
Course: Fundamentals of Product Strategy
Modules:
Introduction to the Course & Meet the Instructor, Product Strategy Fundamentals, Steps for Crafting, Refining and Implementing a Product Strategy, Product Vision and Objectives, Understand and Analyze Your Customers, Markets and Competitors, Strategic Market and Competitor Analysis for Product Success, Technology and Regulatory Analysis, Internal Analysis, Identify your Strategic Options and then Compare them to Each Other, Define Strategic Options in Details, Crafting Strategic Options for Effective Planning, Prioritize your Product’s Strategic Options, Congratulations and Continuous Learning Journey
Course: Introduction to Generative AI - Español
Modules:
Introducción a la IA generativa
Course: Negotiation Skills and Effective Communication
Modules:
Negotiation Analysis: the negotiation dance. BATNA and ZOPA, Skill to develop: Managing the rhythm of negotiation by interpreting anchors, managing time and the magnitude of offers.
The Role of Emotions in Negotiation, Skill to develop: emotional intelligence, self-awareness, self-control, and social management.
Classification of interests and definition of objectives. Focus on the problem and not on the person, Skill to develop: Critical thinking and the generation of alternatives to achieve consensus
The Conflict Spiral and Its Stages: The thin red line, Skill to develop: changing the frame of reference, “Framing,” to avoid that the conflict gets out of control in the negotiation process.
Course: 6. 警告を発する： 検知と対応
Modules:
コース 6 へようこそ, デイブ：メンターと育むサイバーセキュリティのキャリア, 1 週目へようこそ, インシデント対応のライフサイクルとは, インシデント対応チーム, ファティマ：インシデント対応時のコミュニケーション, インシデント対応計画, インシデント対応ツール, ドキュメンテーションの重要性, 不正侵入検知システム（IDS）, SIEM・SOAR ツールによるアラートとイベント管理, まとめ
2 週目へようこそ, ケイシー：サイバーセキュリティにおけるソフト スキルの応用, ネットワーク トラフィック フローの重要性, データ流出攻撃, パケットとパケット キャプチャ, パケットでネットワーク通信を解釈する, パケット ヘッダーのフィールドを再確認する, tcpdump でパケットをキャプチャする, まとめ
3 週目へようこそ, ライフサイクルの検知と分析のフェーズ, MK：サイバーセキュリティ業界の変化, ドキュメンテーションの利点, 管理の連鎖のフォーマットで証拠を文書化する, サイバーセキュリティにおけるプレイブックの価値, インシデント対応におけるトリアージの役割, ロビン：チームを超えたコラボレーション, ライフサイクルにおける封じ込め・根絶と復旧のフェーズ, ライフサイクルにおける事後対応のフェーズ, まとめ
4 週目へようこそ, ログの重要性, レベッカ：新しいツールと技術を学ぶ, ログのバリエーション, 検知ツールによるセキュリティ監視, グレース：検知と対応におけるセキュリティのマインド, 検知シグネチャのコンポーネント, Suricata でシグネチャを調べる, Suricata のログを調べる, SIEM ツールを見直す, Splunk でイベントをクエリする, Chronicle でイベントをクエリする, まとめ, コースのまとめ
Course: Create video, audio and infographics for online learning
Modules:
Welcome to Create video, audio and infographics for online learning, Week 1 overview, 4 Key Principles - Purpose, space, time, role, The rapid design process, Podcast | Practical advice for educators who are new to online learning and teaching
Week 2 overview, Choosing the right infographic type for your learners, Podcast | Top tips for creating simple and effective infographics
Week 3 overview, Podcast | The power of storytelling when creating audio content, Podcast | Technical tips on creating podcasts and audio learning resources
Week 4 overview, The advantages & disadvantages of using video, Rapid design video learning objects, Vodcast | Designing, developing and preparing instructional videos for learners
Week 5 overview, Feedback and the critical friends protocol, The critical friends protocol in action, Podcast | How to share meaningful and effective feedback with learners
Course: Using Generative AI for Learning Design Activities
Modules:
Welcome to the Course
Interacting with Generative AI, Drafting Learning Objectives, Crafting Assessments & Elaborative Feedback, Developing Scripts, Improving Accessibility
Aligning Course Goals with Design Outcomes, Roleplaying as a Learner Persona
Give it a try!
Course: Exploring Emerging Technologies for Lifelong Learning and Success
Modules:
Introduction - Exploring Emerging Technologies for Lifelong Learning and Success, Optional Tutorial: Navigating #EmTechMOOC, Optional Tutorial: Navigating EmTechWIKI, Optional Tutorial: Add Resources or Edit EmTechWIKI, ePortfolios, Lifelong Learning, 7 ½ Habits of Highly Successful Lifelong Learners, Summary: 7 ½ Habits of Highly Successful Lifelong Learners, Growth vs. Fixed Mindset, Digital Footprint/Identity, Creative Commons, Accessibility
Communication and Collaboration
Creativity
Critical Thinking
Summarize Your Learning
Course: Digital Thread: Implementation
Modules:
Introduction to Digital Thread: Implementation, A Business Case for the Digital Thread, Transitioning to the Digital Thread, Challenges and Benefits of Implementing the Digital Thread
Information Technology Components, Computing Resources, Virtualization, Resources for Cloud-based Computing
Design Process Technologies, Finite Element Analysis, Computational Fluid Dynamics, Mold Design, Verification and Validation
The Production Process, Additive Manufacturing, Digital Work Instructions, Digital Documents and Records, Digital Metrology Approaches
DMD Connections Throughout the Enterprise, The Industrial Internet of Things (IIOT), Factory Simulation Tools, MRP, ERP, MES, Your 4.0 Roadmap to Success
Course: Understanding Financial Statements: Company Position
Modules:
Welcome to Understanding Financial Statements: Company Position!
1-1. What Is Accounting?, 1-2. Why Are Financial Statements Important?
2-1. The Balance Sheet – Current Assets, 2-2. The Balance Sheet – Non-Current Assets
3-1. The Balance Sheet – Liabilities Part 1, 3-2. The Balance Sheet – Liabilities Part 2
4-1. The Balance Sheet – Equity Part 1, 4-2. The Balance Sheet – Equity Part 2, Learn on Your Terms
Course: Getting Started with Google Kubernetes Engine - Italiano
Modules:
Introduzione al corso
Introduzione, Cloud computing e Google Cloud, Offerte di computing di Google Cloud, La rete Google, Gestione delle risorse, Fatturazione, Interazione con Google Cloud, Introduzione al lab: Accesso alla console Google Cloud e a Cloud Shell, Coursera: Introduzione a Google Cloud e Qwiklabs
Introduzione, Container, Immagini container, Introduzione al lab: Utilizzo di Cloud Build, Kubernetes, Google Kubernetes Engine
Introduzione, Concetti di base di Kubernetes, Componenti di Kubernetes, GKE Autopilot e GKE Standard, Gestione degli oggetti, Introduzione al lab: Deployment di cluster GKE Autopilot
Introduzione, Il comando kubectl, Introspezione, Introduzione al lab: Deployment di cluster GKE Autopilot da Cloud Shell
Riepilogo del corso
Course: Introduction to Microprocessors
Modules:
Meet Your Instructors, Welcome Video
Welcome to Module 1, The Basic Components of a Personal Computer, The Role and Purpose of a CPU and Some of Its Components, The Purpose of RAM, ROM, Buses, and Registers, Opcodes, Operands, and Memory Addressing Modes, Final Thoughts: Introduction to the CPU
Welcome to Module 2, Introduction to the ALU and the Decode Unit, Arithmetic and Logical Operations, Input, Process, and Output, Final Thoughts: The ALU and Decode Unit
Welcome to Module 3, The Fetch-Decode-Execute Cycle and the Impact of Interrupts, A Range of Factors That Impact the Performance of a CPU, Scheduling Algorithms and Pipelining, Final Thoughts: The Fetch-Decode-Execute Cycle
Welcome to Module 4, The Need for and Layout of Assembly Code Instructions, ASim Demonstration Video, Creating Usable Machine Code from Assembly Language, The Basic Processes Involved in Compilation, Final Thoughts:  Assembly Language
Final Thoughts: End of course
Course: Introduction to iOS Mobile Application Development
Modules:
Introduction to the program, Introduction to the course, The mobile developer role, A day in the life of an iOS developer, Setting up Xcode, What is a mobile app?, Mobile apps at Meta, What kind of careers are there in iOS development?, iOS languages: Objective-C vs Swift, Project templates, iOS X Code: Take a Tour, Starting a project, Anatomy of an iOS App, Module summary: Introduction to Mobile Application Development
What is a Simulator?, Starting a simulator, Simulator  Operating System Versions, iOS Simulators, Project structure, Project main class, Xcode Build System, iOS info.plist, Resource folder, Examination of Project folder, Module summary: Simulation and Development
Requirements gathering, Template selection and project proposal, Start the project, Setting up the screen, Finding the assets, Required imports, Swift: Simple terms, Create the player, Module summary: Building the app, Course recap: iOS Mobile Application Development, Congratulations!
Course: System Validation: Automata and behavioural equivalences
Modules:
Welcome, An automaton as a model for behaviour, Non-deterministic behaviour, The definition of an automaton, The wolf, the goat and the cabbage
Behavioural equivalences, Strong bisimulation, Trace equivalence, The internal or τ -action., Branching bisimulation, Rooted branching bisimulation
The alternating bit protocol, Divergence preserving branching bisimulation, Weak trace equivalence, Weak bisimulation, Language, failure, and completed trace equivalence, When to use which behavioural equivalence, Transition systems with data, time and probabilities
Course: Snowflake Cloud Data Platform: Getting Started
Modules:
Course Introduction, What is Snowflake?, Creating a Snowflake Account, Snowflake Editions and Object Model, Organizations, Accounts, Databases and Schemas, Table and View Types, Databases and Schemas (Hands-on), Tables and Views (Hands-on), User Defined Functions, Stored Procedures, UDFs and Stored Procedures (Hands-on), Sequences, Tasks and Streams, Overview of Access Control, Roles and Privileges, Access Control (Hands-on), Column Level Security and Row Level Security, Column and Row Level Security (Hands-on), Overview of the Virtual Warehouse, Virtual Warehouse Overview (Hands-on), Query performance analysis tools (Hands-on), Caching and Materialized Views, Snowflake Clustering, Overview of Storage Layer, Micro-partitions, Time Travel and Fail-Safe, Cloning, Secure Data Sharing
Course: Programming for Everybody (Getting Started with Python)
Modules:
Video: Welcome to Class - Dr. Chuck, Video: Welcome to Python - Guido van Rossum, 1.1 - Why Program, 1.2 - Hardware Overview, 1.3 - Python as a Language, Fun: The Textbook Authors Meet @PyCon2015, Face to Face Office Hours - Bengaluru, India
Demonstration: Using the Python Playground, Windows 10: Installing Python and Writing A Program, Windows: Taking Screen Shots, Macintosh: Using Python and Writing A Program, Macintosh: Taking Screen Shots, Bonus: Eben Upton and the RaspBerry Pi
1.4 - Writing Paragraphs of Code, Demonstration: Doing the "Hello World" Assignment, Interview: Daphne Koller - Building Coursera, Face-to-Face Office Hours: Milan, Italy
2.1 - Expressions, 2.2 - Expressions Part 2, 2.3 - Expressions - Part 3, Worked Exercise: 2.3, Interview: Pooja Sankar - Building Piazza, Office Hours: Mountain View, CA
3.1 Conditional Statements, 3.2 More Conditional Statements, Worked Exercise: 3.2, Interview: Massimo Banzi: The Arduino, Office Hours: Seoul Korea
4.1 - Using Functions, 4.2 - Building Functions, Interview: Guido van Rossum: The Early Years of Python, Office Hours: Manila Philippines
5.1 - Loops and Iteration, 5.2 - Definite Loops, 5.3 - Finding the Largest Value, 5.4 - Loop Idioms, Worked Exercise: 5.1, What's Next - Dr.Chuck, Interview: Guido van Rossum - The Modern Era of Python, Office Hours: Paris, France
Course: How to Identify Your Target Audience
Modules:
Introduction to the Course & Meet Your Instructor, Understanding the Target Audience Identification, Target Audience Segmentation, Methods to Determine Your Target Audience, Tools for Audience Research, Crafting Audience Personas, A Guide to Effective Questionnaire Design, Analyzing Audience Profiles from Cross-Reference Data, The Impact of Personalization on Marketing Performance, Engaging Your Audience Through Tailored Content and Communication, Testing and Optimizing for Target Audiences, Ethics and Privacy in Data Use, Congratulations and Continuous Learning Journey
Course: Serverless Machine Learning with Tensorflow on Google Cloud auf Deutsch
Modules:
Willkommen zum Kurs, Überlegungen zum maschinellen Lernen
Übersicht über das maschinelle Lernen (ML), Arten von ML, Die ML-Pipeline, Varianten des ML-Modells, ML-Problem eingrenzen, Maschinelles Lernen (ML) ausprobieren, Optimierung, Sichere Testumgebung für neuronale Netzwerke, Funktionen kombinieren, Feature Engineering, Bildmodelle, Effektives ML, Was macht ein gutes Dataset aus?, Fehlermesswerte, Genauigkeit, Genauigkeit und Trefferquote, Datasets für maschinelles Lernen erstellen, Datasets aufteilen, Python-Notebooks, Übersicht zum Lab "Datasets für maschinelles Lernen erstellen", Zusammenfassung zum Lab "Datasets für maschinelles Lernen erstellen"
Überblick über Modul 2, Was ist TensorFlow?, Core TensorFlow, Übersicht zum Lab "Einführung in TensorFlow", Zusammenfassung zum TensorFlow-Lab, Estimator API, Maschinelles Lernen mit tf.estimator, Zusammenfassung zum Lab "Estimator", Effektives ML ermöglichen, Einführung zum Lab "Refaktorierung zum Hinzufügen von Stapelverarbeitung und Funktionserstellung", Zusammenfassung zum Lab "Refaktorierung", Trainieren und Bewerten, Monitoring, Einführung zum Lab "Verteiltes Training und Monitoring", Zusammenfassung zum Lab "Verteiltes Training und Monitoring"
Überblick über Modul 3, Vorteile der Cloud ML Engine, Arbeitsablauf bei der Entwicklung, Trainingspakete erstellen, TensorFlow bereitstellen, Lab: ML hochskalieren, Zusammenfassung zum Lab "ML hochskalieren"
Überblick über Modul 4, Gute Funktionen, Kausalität, Numerisch, Ausreichende Beispiele, Von den Rohdaten zur Funktion, Kategoriale Merkmale, Funktionsverknüpfungen, Bucketizing, Breit und tief, Einsatzbereiche für Feature Engineering, Überblick zum Lab "Feature Engineering", Zusammenfassung zum Lab "Feature Engineering", Hyperparameter-Abstimmung + Demo, ML-Abstraktionsebenen, Fazit
Course: Social Psychology
Modules:
Quick Course Overview, Lecture 1.1: Welcome, Social Psychers!, Lecture 1.2: Course Logistics: Some Rules of the Road, Lecture 1.3: Tour of Social Psychology Network and Invitation to Join, Lecture 1.4: The Psychological Construction of Reality, Lecture 1.5: Confirmation Bias, Lecture 1.6: Self-Fulfilling Prophecies, Lecture 1.7: Thin Slices: Social Judgments in the Blink of an Eye, Lecture 1.8: What Other People Think of You
Lecture 2.1: Attribution Theory: The Whys and Wherefores of Behavior, Lecture 2.2: Some Twists and Turns When Explaining Behavior, Lecture 2.3: Is the Attitude Bone Connected to the Behavior Bone?, Lecture 2.4: Cognitive Dissonance and Self-Perception, Lecture 2.5: Two Flavors of Dissonance: Vanilla and Earthworm, Bonus Video 2.1: A Conversation with Elliot Aronson, Lecture 2.6: How to Be Persuasive, Lecture 2.7: Secrets from the Science of Persuasion (Guest Lecture), Lecture 2.8: The Ins and Outs of Social Influence
Lecture 3.1: Obedience to Authority (Part 1: Watch Before Milgram Video), Assigned Video 3.1: Obedience (Stanley Milgram's Classic Documentary), Lecture 3.2: Obedience to Authority (Part 2: Watch After Milgram Video), Bonus Video 3.1: Stanley Milgram Discusses His Electric Shock Generator, Bonus Video 3.2: What Was Stanley Milgram Like?, Lecture 3.3: Group Pressure and Conformity (Part 1), Lecture 3.4: Group Pressure and Conformity (Part 2), Lecture 3.5: The Dark Side of Deindividuation (Part 1: Watch Before Quiet Rage), Assigned Video 3.2: Quiet Rage: The Stanford Prison Experiment, Lecture 3.6: The Dark Side of Deindividuation (Part 2: Watch After Quiet Rage)
Lecture 4.1: Group Dynamics and the Abilene Paradox, Assigned Video 4.1: The Abilene Paradox, Lecture 4.2: How Categorical Thinking Gives Rise to Prejudice, Assigned Video 4.2: Race: The Power of an Illusion, Assigned Video 4.3: Middle Sexes: Redefining He and She, Lecture 4.3: The Minimal Group: From Dots to Discrimination in 60 Seconds, Lecture 4.4: When Intergroup Biases Don't Feel Like Biases
Bonus Video 5.1: Experiments in Change Blindness, Bonus Video 5.2: Hangout with Philip G. Zimbardo
Lecture 6.1: Bystander Intervention in Emergencies, Lecture 6.2: The Triggers of Aggression, Lecture 6.3: Countering Terrorism: Is Psychology Mightier Than the Sword?, Lecture 6.4: Halting the Lions of War by Taking the Third Side, Lecture 6.5: Israel and Iran: A Love Story?, Lecture 6.6: The Day of Compassion, Bonus Video 6.1: The Day of Compassion Award
Lecture 7.1: Is Empathy a Magic Bullet?, Assigned Video 7.1: This Emotional Life: Understanding Happiness, Lecture 7.2: How to Buy Happiness, Lecture 7.3: Romantic Attraction and Close Relationships, Lecture 7.4: Concluding Remarks: Where to Go From Here, Bonus Video 7.1: Hangout with Mahzarin Banaji, Bonus Video 7.2: Hangout with Daniel Gilbert
Course: مهارات التفكير التأملي | Reflective Thinking Skills
Modules:
مفهوم التفكير التأملي, مكونات التفكير التأملي, مهارات التفكير التأملي - الجزء الأول, مهارات التفكير التأملي - الجزء الثاني, نماذج تطبيق التفكير التأملي - الجزء الأول, نماذج تطبيق التفكير التأملي - الجزء الثاني, أسس تطبيق التفكير التأملي, الكتابة التأملية (Reflective Writing)
Course: Customer Value in Pricing Strategy
Modules:
Pricing Specialization Overview, Three Lenses, Week 1 & Course Introduction, Consumer Decision Process: Involvement and Visibility, Mapping Purchase Processes, Customer Value and Value Drivers, Differentiating Customer Value by Customer Segment, Willingness to Pay and Demand Curves, Serving Consumers in Developing Economies, Story of Nano, Story of Ala, Pricing Strategies for Developing Economies, Week 1 Takeaways
Week 2 Introduction, Price to Demand Curve, Application of Price to Demand Curve: Price Piano, Application of Price to Demand Curve: Price Ladder, Application of Price to Demand Curve: Incentive Curves, Customer Value Drivers in a B2B Context, Value-based Price Setting for a New Product: Steps 1&2, Value-based Price Setting for a New Product: Steps 3-5, Price Elasticity: Intersection of Economics and Customer Value 1, Price Elasticity: Intersection of Economics and Customer Value 2, Week 2 Takeaways
Week 3 Introduction & Overview of Methods to Assess WTP, Obtaining Willingness to Pay from Surveys, Interpreting Combined Survey Data, Case Intro: Adios Junk Mail, Case Debrief: Adios Junk Mail, Conjoint Analysis Applications, Why Conjoint?, Conjoint Analysis: Steps 1-3, Conjoint Analysis: Step 4 and Product Preferences, Attribute Trade-offs, Attribute Importances, Conjoint Analysis: Willingness to Pay, Conjoint Analysis: Other Ways to Interpret Data, Conjoint Analysis: Propensity Modeling, Week 3 Takeaways
Week 4 Introduction, Mental Accounting and Price Perceptions, Money Is Not Money, What We Can Learn from Ginsu Knives, Integrating Losses, Minimizing Losses and Give a Win with a Loss, Considering Consumer Price Perceptions: The Framing Effect, Gain and Loss Frames in Pricing, The Pain of Paying, Separate the Pain of Paying from Consumption, Anchoring and Price Primacy, Visual Tricks, Free as a Special Price, and Hedonic Bundling, Price Decoy, Applying the Customer Value Lens: Subscription Pricing, Week 4 Takeaways & Course Wrap-up
Course: Foundations of SHRM Certification
Modules:
Introduction to the Specialisation, Introduction to the Course, Meet your Instructor, Introduction to Talent Acquisition, The Role of Job Descriptions in Talent Acquisition, Building a Strong Employer Brand, Leveraging Technology in Talent Recruitment, Enhancing Recruitment Strategies, Advanced Interview Strategies, Effective Interview Techniques, Enhancing Employee Onboarding and Engagement, Finalizing the Selection and Onboarding New Talent, Introduction to Talent Selection Process
Big Data and Information Systems in HR, The Impact of Software as a Service on HR, Enhancing HR Efficiency with Manager Self-Service, Strategic and Administrative Roles of HR, Developing an HR Service Culture, Integration of HR in Organizational Development, Challenges in Organizational Development Interventions, Enhancing HR's Strategic Position Through Effective, Introduction to Organizational Effectiveness and Development, Role of HR in Organizational Design and Team Performance, The Importance of Organizational Culture and Leadership, Understanding the Structure of HR Function
Conflict Management and Communication Skills, Ethical Practice and Relationship Management in SHRM, Exploring SHRM Leadership Approaches, Global and Cultural Awareness in HR, Introduction to SHRM Competency Model, Technical Competencies, Course Closure: Gratitude!
Course: Gemini for end-to-end SDLC - Português Brasileiro
Modules:
O futuro do desenvolvimento de software com o Gemini
Course: Create Image Captioning Models
Modules:
Create Image Captioning Models: Overview, Create Image Captioning Models: Lab Walkthrough
Course: Learn Responsive Web Design
Modules:
CSS Fundamentals Quiz
Starting to Think Responsively Quiz
Stepping up our style quiz
Taking Flexbox to the next level quiz
CSS Grid: The Ultimate Layout Tool Quiz
Taking it to the next level quiz
Course: Planning: Principled, Proposing, Proofing, and Practicing to a Success Plan
Modules:
Construction Zone One: The Business Development Process, The Quad-P Planning Process, Pieces for the Dream
Process Principles Revisited, Process Planning Principles Continued, The Anatomy of a Plan, Mantra of the Day: Maxcha, Minche Baby!, The Perfect Meal Part 1: An Example of Adaptive and Process Planning, The Perfect Meal Part 2: An Example of Adaptive and Process Planning, The Anatomy of a Plan: Simple & Compound, The Anatomy of a Plan: Complex & Meta, Dissecting Planning Further - Part 1: An In Depth Examination of the Different Types of Planning, Dissecting Planning Further - Part 2: An Illustrated Example of Adaptive Planning, Dissecting Planning Further - Part 3: An Illustrated Example of Process Planning, Dissecting Planning Further - Part 4: An Example of Principled Planning - -	Putting it All Together
What is Value?, Proposing Value, Finding Proven Value, Proofing Problem: Invite Co-creation, Proofing Problem: Co-creation Continued, Proofing Problem: Social Listening & Searching Tracking
How to Use Google Adwords Keywords Tool, How to Do Keyword Research
Proposing the Business Concept Statement - Part 1, Proposing the Business Concept Statement - Part 2, Proofing The Business Concept Statement
The Good News, Motivation to Master, Numbers - Part 1, Numbers - Part 2, Narratives & Infrastructure, Proposing the Business Model, Launch into Strategy
Course: Special Topics and Specialization Wrap-up
Modules:
Introduction to Course 7
New Video, Supplier Diversity
Key Take-Aways From All the Courses
.pdf file for the Student of Course 7 Lectures
Course: The Business Intelligence (BI) Analyst Capstone Project
Modules:
Course Introduction, Project Overview, Assignment Overview: Data Cleaning and Preparation, Assignment Overview: Basic Analysis Using Pivot Tables
Assignment Overview: Data Querying Using PostgreSQL, Assignment Overview: Data Analysis Using PostgreSQL
Assignment Overview: Data Visualization Using Excel, Assignment Overview: Statistical Analysis Using Excel
Assignment Overview: Basic Tableau Visualizations, Assignment Overview: Advanced Visualization Using Tableau
Structure of a Presentation, Best Practices for Presenting Your Findings
Final Exam Overview
Creating Your Resume, Tips for Developing Your Portfolio, Job search strategies for BI analysts, Networking and Building an Online Presence, Interview Preparation for BI Analysts
Course: Gemini in Google Sheets - 한국어
Modules:
Google Sheets의 Gemini 소개, 계획 및 추적기 만들기, 템플릿 프롬프트 생성 및 미세 조정, 활동 설명
Course: FoundX Startup School Course
Modules:
コースの全体像, スタートアップとは何か, なぜ合成音声を選んだか
人が欲しがるものを作る, スタートアップ＝成長, フィードバックサイクルをまわす, マイルストーンを設定する, スケールしないことをする, ラーメン代を稼ぐ
スタートアップのステージ, 井戸を掘る, 顧客を観察する, 悪いように見えて実は良いアイデアを探す, 面倒な仕事に注目する, バーニングニーズを見つける
顧客の行動を描く, 仮説を書き出す, 最低5人にインタビューする, PSFを達成する, OMTM を検証する
MVPを作る, セールスアニマルになる, 型どおりのピッチをする, PMFを達成する, ピボットを決断する
共同創業者を徐々に巻き込む, 共同創業者との相性をテストする, 創業者株主間契約をする
資金調達をする
まとめ, 最後のアドバイス
Course: Fundamentals of Red Hat OpenShift for Developers
Modules:
Course Introduction, What is OpenShift?, Using OpenShift Resources
Deploying Applications from an Existing Container Image, Using Helm, Deploying Applications from Source Code, Deploying Applications from a Containerfile
Describing OpenShift Ingress
Blue/Green Deployments, A/B Deployments
Injecting Configuration Data into Applications, Managing Stateful Applications
Monitoring Application Health, Troubleshooting Application Deployments, Conclusion
Fundamentals of Red Hat OpenShift for Developers
Course: HTML, CSS, and Javascript for Web Developers
Modules:
Development Environment Setup, Part 1, Development Environment Setup, Part 2: MacOS, Development Environment Setup, Part 2: Windows, Development Environment Setup, Part 3: Github and Browser Sync, Resources for Asking Questions, Lecture 1: What is HTML?, Lecture 2: Relevant History of HTML, Lecture 3: Anatomy of an HTML Tag, Lecture 4: Basic HTML Document Structure, Lecture 5: HTML Content Models, Lecture 6: Heading Elements (and some new HTML5 semantic comments), Lecture 7: Lists, Lecture 8: HTML Character Entity References, Lecture 9: Creating Links, Lecture 10: Displaying Images, Module 1 Wrap-Up
Course: Enhancing Customer Insights with Generative AI
Modules:
Welcome to the Course
The Role of AI & Gen AI in Modern Market Research, Consumer Behavior with Gen AI
Case Study on Nike's Journey Using Big Data and Gen AI, Using Generative AI for Insight Generation
Strategic Planning with Gen AI Insights, Future Trends and Innovations in Gen AI for Business, Hands-on Activity: Crafting a Customer Insights Strategy Using Generative AI
Course: 网络课程与学习评价
Modules:
课前调查, 如何解决课程加载速度慢的问题？, 公告：课程视频更新
导论, 个性化学习路径选择与主要学习理念简介, 开课三个月的总结
专题一导览, 20年来IT如何改变了几乎所有领域？, 为什么IT对教育的影响小得令人吃惊？, 对MOOC本质的解读, 如何看待围绕MOOC的争论？, MOOC引发的五大变革, 催生MOOC的课程新元素, 推动MOOCs快速发展的五种力量, MOOCs发展的杠杆之一：学习科学, MOOCs发展的杠杆之二：信息技术, MOOCs发展的杠杆之三：教学学术, 教学何以成为学术？访谈清华大学于歆杰（之一）, 课程评价与MOOCs前景？访谈清华大学于歆杰（之二）, 对话MOOC前沿探索者战教授团队（一）, 对话MOOC前沿探索者战教授团队（二）, 信息时代教育创新的趋势, 网络课程的成功之道
专题二导览, 认识MOOCs世界中的学习者, MOOCs学习者研究的新舞台, 创建自由开放的学习社区, 大数据时代的MOOCs研究, MOOCs创生的新一代课程与教师, MOOCs世界中的新型师生关系, MOOCs学习者的故事, MOOCs对大学创新的价值, 大学的未来走向？, 网络课程分类的方法论, 优秀网络课程的共同特征？, 迈入人文殿堂：人文类课程的特点, 探索IT世界：计算机类课程的特点, 遨游于艺术的海洋：艺术类课程的特点, 指导MOOCs健康发展的领域：方法论与教育类课程的特点, 两种评价观, 我的考试观, 考试和分数的关系, 信息时代的考试创新模型
专题三导览, 古今中外的三类大学, 大学的功能和价值, 文化与文化人的教育哲学解读, 学习究竟是什么？, 古今中外的学习理念扫描, 信息时代人类学习方式的变革, 学习的本质是自我意识和自我超越, 学习实践论：太极学堂, 学习价值论：绿色学习, 绿色学习的内涵与践行之道, 构建生成学习论：我们团队的学习理论基础, 探索信息时代的学习新文化, 二十一世纪大学变革的探索者, 微课：大学教学模式创新的突破口, 大学课程教学创新系统工程模型
终期学习总结与反思, 研究性学习（岗位工作）成果
Course: Capstone : Application de la gestion de projets dans le monde réel
Modules:
Introduction au Cours 6, Chartes de projets : Objectif et composants, Chartes de projets : L’alignement des partenaires, Chartes de projets : Élaboration des objectifs SMART, Chartes de projets : Définition de la portée, des avantages et des coûts, Afsheen : Lancer un projet efficacement, Effectuer une analyse des partenaires, Trouver des solutions mutuellement avantageuses, Stanton : Gérer les changements de la portée avec les partenaires, Exercer une influence dans les négociations, Synthèse
Introduction : Élaborer un plan de projet, Identifier les tâches du projet : Analyser la documentation, Identifier les tâches du projet : Effectuer des recherches en ligne, Identifier les tâches du projet : Analyser les conversations clés, Ordonner les tâches et identifier les jalons, Estimation du temps : Poser les bonnes questions, Estimation du temps : Estimation en trois points, Estimation du temps : Appliquer des niveaux de confiance, Estimation du temps : Négociation effective de l'estimation du temps, Estimation du temps : Négocier avec empathie, Torie : Pratiquer l'empathie en tant que gestionnaire de programme, Synthèse
Introduction : Maintenir la qualité, Concepts clés de gestion de la qualité, Définir des normes de qualité, Créer des questions d'évaluation, Déterminer des indicateurs d'évaluation, Élaborer une enquête, Faire la présentation d’une évaluation, La valeur des rétrospectives, Rétrospectives : Encourager la participation, Rétrospectives : Encourager la responsabilisation, Rétrospectives : Lutter contre la négativité, Dana : Mener des rétrospectives positives, Synthèse
Introduction : Communication efficace avec les partenaires, Communiquer les problèmes du projet, Chris : L’art de la résolution de problèmes, Relier les problèmes du projet aux objectifs, Rédiger des e-mails pour faire remonter un problème, Laura : Meilleures pratiques de communication avec les partenaires, Remplir un rapport de clôture, Rapport d’impact du projet, Synthèse, Rapport de bouclage personnel, Réussir un argumentaire éclair, La méthode STAR, Interviewer à distance, Conseils d’entretien des Googlers, Félicitations de vos instructeurs, Explorer les opportunités professionnelles
Course: The Bilingual Brain
Modules:
Office Hours 1, 1-1 Introduction, 1-2 Familiarity and Its Neural Instantiation, 1-3 Age of Acquisition, 1-4 Beyond Language, 1-5 Plan for this course, 1-6 Toward a Bilingual Metaphor
Office Hours 2, 2 The Nature of Learning, 2-1 AOA In A Single Language, 2-2 AoA and Sensitive Periods, 2-3 AoA and Language, 2-4 Digging into the Depth of Language, 2-5 Building a Grammar, 2-6 The Sensorimotor Nature of AoA
Office Hours 3, 3 Laying Down Two Languages Across Time, 3.1 Let There Be Sound, 3.2 Phonology in a Second Language, 3.3 Grammar, 3.4 Critical Periods in a Second Language, 3.5 AoA and Orphaned Language, 3.6 Grammatical Proccessing and AoA, 3.7 Isolating AoA, 3.8 Grammatical Gender, 3.9 Camparing First and Second Language
Office Hours 4, 4 Proficiency, Efficiency and Expertise, 4.1 Expertise, 4.2 Perceptual Expertise, 4.3 What Makes Expertise, 4.4 Deliberate Practice and Language, 4.5 Learning Without Knowing, 4.6 Expertise and Language Proficiency
Office Hours 5, 5 Practice What You Speak, 5.1 Language Loss, 5.2 Catastrophic Loss, 5.3 Can a Lost Language be Found, 5.4 Plasticity and Language Acquisition, 5.5 Restructuring Plasticity, 5.6 The Dichotic Nature of Language, 5.7 What is Predicted by Language Proficiency, 5.8 From Everyday to Academic Language, 5.9 Academic and Everyday Grammar, 5.10 Language and Memory System, 5.11 Speech in a Second Language, 5.12 Language Learning as a Building Process
Office Hours 6, 6 Controlled Adjustments, 6.1 Control and the Brain, 6.2 How Do We Learn Control?, 6.3 Brain Development and Control, 6.4 From Control to Flexibility, 6.5 Changes in Task Switching Across Development, 6.6 Aging and the Eroding Prefrontal Cortex, 6.7 Control And Language
Office Hours 7, 7 Control, Flexibility and the Two Language Dilemma, 7.1 The Language Switch, 7.2 In Search of the Language Switch, 7.3 The Bilingual Advantage, 7.4 The Bilingual Disadvantage, 7.5 A Couple of Caveats, 7.6 Bilingual Control and Language Proficiency, 7.7 Beyond Control
Office Hours 8, 8 The Final Frontier, 8.1 AoA, Proficiency and Control Interact, 8.2 The Nonlinear Dynamics of Bilingualism, 8.3 From Cognitive Principles to Brain Principles, 8.4 Metaphors of the Mind, 8.5 The Bilingual Brain
Course: Managing Responsibly: Practicing Sustainability, Responsibility and Ethics
Modules:
On location: Introducing Oliver Laasch, Sally Randles, Frank Boons, Introducing the key objectives and features of the course, Fiona Devine, Head of Alliance Manchester Business School, Interview with Jonas Haertle, Head of the PRME Secretariat, Ghada Soliman (Teaching Support), Ema Johnson (Teaching Support), Week 1 Lecture: Managing Responsibly, Week 1 Practitioner Interview: Rodrigo Morales
Week 2 Introduction, Week 2 Lecture: Ecological Sustainability, Week 2 Practitioner Interview: Kene Umeasiegbu
Week 3 Introduction, Week 3 Lecture: Responsibility, Week 3 Practitioner Interview 1: Lynn Prime, Week 3 Practitioner Interview 2: Nick Bishop, Week 3 Practitioner Interview 3: Rainer Breitling
Week 4 Introduction, Week 4 Lecture: Ethics Management, Week 4 Practitioner Interview: Pia Poppenreiter
Week 5 Introduction (Part 1), Week 5 Introduction (Part 2), Week 5 Lecture: Functions, Professions and Competences, Week 5 Practitioner Interview: Madeleine Cobb
Week 6 Lecture: Bringing it all together - Using the practitioner interviews to draw thematic connections across the MOOC, Week 6 Practitioner Interview 1: Mary Gentile, Week 6 Practitioner Interview 2: Kosheek Sewchurran, Week 6 Practitioner Interview 3: Ceyda Ozgun
Course: BigQuery Fundamentals for Redshift Professionals
Modules:
Coursera: Getting Started with Google Cloud Platform and Qwiklabs
BigQuery Data Definition Model
BigQuery and Google Cloud IAM
BigQuery Data Ingestion
BigQuery Schema Design and Optimization
SQL in BigQuery
Course: Data Analysis in R with RStudio & Tidyverse
Modules:
Navigating Codio Assignments, Variables Lesson Notes (Optional Download), Using Statistical Functions on Vectors Lesson Notes (Optional Download), How to Reset an Assignment in Codio
Wrangling Data with Tidyverse Lesson Notes (Optional Download), Data Frames Lesson Notes (Optional Download)
Comparison Tests Lesson Notes (Optional Download)
Correlation Tests Lesson Notes (Optional Download), Regression Analysis Lesson Notes (Optional Download)
Codio: R Data Analysis Lab
Course: Build Decision Trees, SVMs, and Artificial Neural Networks
Modules:
Build Decision Trees, SVMs, and Artificial Neural Networks Course Introduction, CAIP Specialization Introduction, Build Decision Trees and Random Forests Module Introduction, Decision Tree, Classification and Regression Tree (CART), Gini Index Example, CART Hyperparameters, Pruning, C4.5, Bin Determination, One-Hot Encoding, Decision Trees Compared to Other Algorithms, Ensemble Learning, Random Forest, Random Forest Hyperparameters, Feature Selection Benefits
Build Support-Vector Machines (SVM) Module Introduction, Support-Vector Machines (SVMs), SVMs for Linear Classification, Hard-Margin and Soft-Margin Classification, SVMs for Non-Linear Classification, Kernel Trick, Kernel Methods, SVMs for Regression
Build Multi-Layer Perceptrons (MLP) Module Introduction, Artificial Neural Network (ANN), Perceptron, Perceptron Training, Multi-Layer Perceptron (MLP), ANN Layers, Backpropagation, Activation Functions
Build Convolutional and Recurrent Neural Networks (CNN/RNN) Module Introduction, Convolutional Neural Network (CNN), CNN Filters, Padding and Stride, CNN Architecture, Generative Adversarial Network (GAN), Recurrent Neural Network (RNN), Memory Cell, RNN Training, Long Short-Term Memory (LSTM) Cell, Embedding
Building a CNN to Classify Handwritten Characters
Course: Social Services for Families, Seniors and Those with Disabilities
Modules:
Sequence introduction - John Robertson, Sequence video: Why Social Policy - Alumni, Introduction, Child Development : Part 1, Child Development Part II, What Children Need by Professor Waldfogel, Family, Family Change, Supervision, Child Care, Child Care Issues, Employment, Child Tax Credit, Family Allowances by Professor Garfinkel, Wrap-Up
Introduction, Child Poverty, Effects of Child Poverty, Public Support, The Purpose of TANF, TANF Outcomes, TANF Reform, SNAP, WIC, Child Support, EITC, Work Requirements, Wrap-Up
Introduction, The Americans with Disabilities Act, Defining Disability, Developmental Disabilities, Mental Illness, Social Security Disability Insurance (SSDI) Eligibility, SSDI Benefits, Supplemental Security Income (SSI), SSI Eligibility, Part I, SSI Eligibility, Part II, SSI Children, SSI Issues, Social Insurance and Public Aid, Wrap-Up
Introduction, Birth Rates and Death Rates, A Shortage of Workers, Old Age, Survivors, & Disability Insurance (OASDI) Part I, Old Age, Survivors, & Disability Insurance (OASDI) Part II, Shortfalls, Proposals, Part I, Proposals, Part II, Proposals, Part III, The Debate, Wrap-Up, Policy Alternative Project: Analysis and Recommendations
Course: Siemens NX Mastery: Advanced Design & Applications
Modules:
Drafting Overview, Product and Manufacturing Information (PMI), Convert to PMI
NX Assembly, Assembly Constraints, Top Down, Exploded View, Jackscrew - Casting, Jackscrew - Dia, Jackscrew - Nut, Jackscrew - Screw
NX Freeform Modeling, NX Freeform Modeling with Curves, NX Mass Properties Review
Convergent Modeling Part 1, Segmenting and Processing Convergent Bodies: Advanced Techniques and Tools, NX Measure Area and Volume, Sheet Metal
Course: Density Functional Theory
Modules:
Introduction, The many-body problem, First objective: observables, Examples of observables, Observables in terms of compact quantities, Introduction to functionals and functionals of the density, Functional derivatives, Define the system: the external potential, Demonstration of the Hohenberg-Kohn theorem, HK theorem: some important aspects, The Thomas(-Fermi) approach, Thomas-Fermi as density functional, Beyond Thomas-Fermi
Functional of the density :: a summary, Auxiliary system 2.3 part1, Auxiliary systems 2.3 part2, The exchange-correlation term, The Kohn-Sham equations, Thoughts on the Kohn-Sham equations, The shape of the Kohn-Sham potential, How real is the Kohn-Sham world ?, The Hartree equations, From Thomas and Hartree to Walter Kohn
3.1 The universal functional, 3.2  Strategies for approximations, The local density approximation (LDA), Exact constraints and GGA, Meta-GGAs, Hybrids functionals, What is a band gap ?, Band gap? What about hybrids?, Solving the KS equation, Summary of the Mooc, Extra