dipopotamus/custom_instruct_coursera_course_module_list huggingface dataset:
Course: Introduction to Cyber Attacks
Modules:
Introduction: What You Will Learn from This Course on Cyber Security, Assignments and Reading, Hacking an Old-Fashioned Soda Machine, Simple Worm Program, Trojan Horse Login Program, Malicious Compiler Program, Typical Unix Kernel Attack, Explaining Interview Series, Welcome Lou Manousos (Part 1), Welcome Lou Manousos (Part 2)
Assignments and Reading, Purpose of Cyber Security, Adversary Types, Vulnerability Types, Threat Types, Matching Quiz, Matching Quiz Solution, Confidentiality Threat, Integrity Threat, Availability Threat, Fraud Threat, Testing for Vultnerabilities, Attacks, Brute Force vs. Hueristic Attacks, Crytanalysis, Cryptanalyzing Caesar Cipher, Welcome Jose Dominguez
Assignments and Reading, SQL/ Slammer Worm of 2003, Nachi Worm of 2003, Botnet Design, Botnet Arithmetic, Welcome Elad Yoran, Assets and Infrastructure, Calculating Risk, Making Security and Cost Decisions Based on Risk, Threat Trees and Completeness of Analysis
Assignments and Reading, Mapping Assets to Threats, Estimating Risk for Threat-Asset Pairs, Example Case Study Matrix (Part 1), Example Case Study Matrix (Part 2), Example Case Study Matrix (Part 3), Mapping Assets, Threats, Vulnerabilities, and Attacks, Welcome Nasir Memon
Course: Negotiation skills: Negotiate and resolve conflict
Modules:
Course welcome and introduction, Week 1 outline, 1.1 Your skillset and the new world of work, 1.2 Awareness and diagnosis, 1.3 Becoming proactive, 1.4 Goals of negotiation
Week 2 outline, 2.1 Why is conflict different?, 2.2 What am I dealing with? Types of conflict relationships, 2.3 When things go wrong
Week 3 outline, 3.1 Orienting: Past, present, future, 3.2 Toolkit: Sharpen your skills, 3.3 Goal setting: Maximising vs satisficing
Week 4 outline, 4.1 Interests and trade-offs: Content vs process, 4.2 Becoming a facilitator: Process skills, 4.3 Structure: Proposing a process
Week 5 outline, 5.1 Cultural rules: Communication barriers, 5.2 How culture manifests in negotiation, 5.3 When context matters: Attribution errors
Week 6 outline, 6.1 Complexity in negotiation and conflict resolution, 6.2 Multiparty stakeholders, 6.3 Change the game: Conflict transformation, Course wrap-up
Course: Data Science at Scale - Capstone Project
Modules:
Get the Data, Understand the Domain
Milestone: Create a list of "buildings" from a list of geo-located incidents
Milestone: Derive labels for each building
Milestone: Train a Simple Model
Milestone: Adding more features
Final Report
Course: As Competências do Especialista no Sucesso do Cliente
Modules:
O Que é Sucesso do Cliente, Sucesso e Experiência do Cliente, Adoção, Quando Dá Certo: Expansão, Quando Dá Certo: Renovação, Quando Dá Errado: Churn
Profissional de Gerenciamento do Sucesso do Cliente, Principais Direcionadores, Competências Críticas, Formação Multidisciplinar: Negócios, Formação Multidisciplinar: Relacionamento, Formação Multidisciplinar: Técnico
Motivações e Justificativa Para a Área, Plano de Negócios, Formação da Equipe, Apresentando Para o Board, Apresentando Para o Cliente, Plano de Sucesso do Cliente
Liderança do Futuro, Organização Sem Medo, Estudo de Caso: Netflix, Comunicação Ressonante, Conheça o Interlocutor, Princípio da Pirâmide
Course: Personal Leadership Development Planning and Leading High Performing Teams
Modules:
Meet the Professor
Observation and Objectives, Leadership Development Planning Process, Leadership Competency Prioritization, RCEL Leadership Framework and Blooms Revisited, Determining Gaps for Current and Target Skill Levels, Taking Action to Develop Competency Skill Level, Preparing and Executing your Plan, Action Planning Toolkit - Your Annual Appraisal, Dave's Journal - Getting to know your followers, Summary
Observation and Objectives, Defining Your Personal Greatness, Considerations for Goal Setting, Pro-actively Managing Your Performance, SMART Goals, Creating a SMART Goal - Your LDP, Tracking Your Goals, Toolkit - Goals Alignment and the Balanced Scorecard, Dave's Journal, Summary
Observation and Objectives, Model of Group Development, How to follow, Project Team Life Cycle, Team Mobilization Strategies, Consequences of Team Mobilization, High Performing Teams, Toolkit - Adapting Your Leadership Style, Dave's Journal, Summary
Leadership Development Plan
Observation and Objectives, Addressing Performance Problems, Creating a Motivating Environment, Leader Involvement, Empowerment, Delegation, Intrinsic Motivation, Toolkit - Team Recognition, Dave's Journal, Summary
Course: Trânsito na Arena Política da Organização
Modules:
Características da Arena Política, Reconhecimento da Arena Política, Arena Política do Nível Tático, Construção de Reputação no Nível Tático, Arena Política do Nível Estratégico, Construção da Reputação no Nível Estratégico
Habilidades Políticas nas Lideranças Bem-Sucedidas, Interação entre as Habilidades Políticas, Processo de Desenvolvimento de Habilidades Políticas, Habilidades Políticas e Desenvolvimento da Liderança, Desenvolvimento Político dos Membros da Equipe, Ações para Desenvolvimento Político da Equipe
Reputação e o Trânsito Político, Como a Reputação é Construída, Formas de Construção da Reputação, A Sustentação da Reputação e o Comportamento Ético, A Sustentação da Reputação e a Cooperação, Transferência da Reputação
Importância da Cooperação no Contexto Contemporâneo, Papel da Organização no Desenvolvimento da Cooperação, Reforço e Aprimoramento Da Cooperação, Indicadores do Nível de Cooperação, Formas para Monitorar o Nível de Cooperação, Impacto da Cooperação no Aprimoramento Organizacional
Course: 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations
Modules:
Linear Regression Problem, Linear Regression Algorithm, Generalization Issue, Linear Regression for Binary Classification
Logistic Regression Problem, Logistic Regression Error, Gradient of Logistic Regression Error, Gradient Descent
Linear Models for Binary Classification, Stochastic Gradient Descent, Multiclass via Logistic Regression, Multiclass via Binary Classification
Quadratic Hypothesis, Nonlinear Transform, Price of Nonlinear Transform, Structured Hypothesis Sets
What is Overfitting?, The Role of Noise and Data Size, Deterministic Noise, Dealing with Overfitting
Regularized Hypothesis Set, Weight Decay Regularization, Regularization and VC Theory, General Regularizers
Model Selection Problem, Validation, Leave-One-Out Cross Validation, V-Fold Cross Validation
Occam's Razor, Sampling Bias, Data Snooping, Power of Three
Course: Foundation Systems, Monitoring and Erection Methods
Modules:
About the Specialization, About the Course, Types of Substructure Systems, Introduction to Cantilever Pier, Pier-cap, Design of Cantilever Pier – Part 1, Design of Cantilever Pier – Part 2, Design of Cantilever Pier – Part 3, Design of Cantilever Pier – Part 4, Introduction to Abutments, Portal Type Piers, Bearings – Part 1, Bearings – Part 2, Bearings – Part 3, Pedestals and Seismic Restrainers – Part 1, Pedestals and Seismic Restrainers – Part 2, Pedestals and Seismic Restrainers – Part 3, Pedestals and Seismic Restrainers – Part 4
Types of Foundations, Assumptions, Geo-technical Capacities, Open Foundation, Pile Foundation, Design of Pile Foundation – Part 1, Design of Pile Foundation – Part 2, Design of Pile Foundation – Part 3, Design of Pile Foundation – Part 4, Design of Pile Foundation – Part 5, Design of Pile Foundation – Part 6, Design of Pile Foundation – Part 7, Well Foundation – Part 1, Well Foundation – Part 2
Construction Stage Monitoring, Installation of Sensors for Service Stage, Post-construction Monitoring and Analysis, Periodic Inspection Methods, Periodic Maintenance - Replacement of Bearings, Expansion Joints, etc., Widening of Bridges
Introduction - Concept to Execution of Bridges, PSC I-girder Type Bridges - Pre-tensioned and Post-tensioned, Steel Truss Bridge, Balanced Cantilever Bridge, Cable-stayed Bridge, PSC I-girder Type Super-structure, Segmental Type, Balanced Cantilever Construction – Part 1, Balanced Cantilever Construction – Part 2, Cable-stayed Bridge
Course: Incident Response and Recovery
Modules:
The Incident Response Team (IRT), Incident Analysis, Forensic Investigations, Business Impact Analysis
Course: What Are the 4 A’s of Marketing - Jagdish Sheth
Modules:
Course Intro, 4 A’s: Awareness & Accessibility - 01, 4 A’s: Awareness & Accessibility - 02, 4 A’s: Awareness & Accessibility - 03, 4 A’s: Awareness & Accessibility - 04, 4 A’s: Awareness & Accessibility - 05, 4 A’s: Awareness & Accessibility - 06, 4 A’s: Awareness & Accessibility - 07, 4 A’s: Awareness & Accessibility - 08, 4 A’s: Awareness & Accessibility - 09, 4 A’s: Awareness & Accessibility - 10
4 A’s: Awareness & Accessibility - 11, 4 A’s: Awareness & Accessibility - 12, 4 A’s: Awareness & Accessibility - 13, 4 A’s: Awareness & Accessibility - 14, 4 A’s: Awareness & Accessibility - 15, 4 A’s: Awareness & Accessibility - 16, 4 A’s: Awareness & Accessibility - 17, 4 A’s: Awareness & Accessibility - 18, 4 A’s: Awareness & Accessibility - 19, 4 A’s: Awareness & Accessibility - 20
4 A’s: Acceptability & Affordability - 01, 4 A’s: Acceptability & Affordability - 02, 4 A’s: Acceptability & Affordability - 03, 4 A’s: Acceptability & Affordability - 04, 4 A’s: Acceptability & Affordability - 05, 4 A’s: Acceptability & Affordability - 06, 4 A’s: Acceptability & Affordability - 07, 4 A’s: Acceptability & Affordability - 08, 4 A’s: Acceptability & Affordability - 09, 4 A’s: Acceptability & Affordability - 10, 4 A’s: Acceptability & Affordability - 11
Course: International Travel Preparation, Safety, & Wellness
Modules:
Welcome and Overview, Project Planning, Working in the Field, Tales from the Field: Steve Harvey, Preparing to Travel, Travel Advisories, Health Insurance, Emergencies, Tales from the Field: Summer and Shaun
Travel Health Overview, Vector-Borne Diseases and Prevention, Food and Waterborne Diseases, Rabies, Altitude, and Sun Exposure, Injuries, Tales from the Field (Julie Denison), Finding Care Overseas, The Returned Traveler, Mental Health Considerations for Travelers, Burnout and Vicarious Traumatization
Conceptual Framework for Safety While Traveling, Moving Around, Staying Safe, Looking After Yourself, Tales from the Field: Joanne Katz, Safety and Gender-Based Violence, Lesbian-, Gay-, Bisexual-, Transgender-, Queer-, and Intersex-Specific Considerations
Cultural Competency, Culture Shock, Tales from the Field: Courtland Robinson, Ethical Considerations of Training, Ethical Practices/Behaviors in Global Health, The Importance of Learning Languages
Course: Big Data Integration and Processing
Modules:
What is in this Course?, Summary of Big Data Modeling and Management, Why is Big Data Processing Different?
What is Data Retrieval? Part 1, What is Data Retrieval? Part 2, Querying Two Relations, Subqueries, Querying Relational Data with Postgres
Querying JSON Data with MongoDB, Aggregation Functions, Querying Aerospike, Querying Documents in MongoDB, Exploring Pandas DataFrames
Overview of Information Integration, A Data Integration Scenario, Integration for Multichannel Customer Analytics, Big Data Management and Processing Using Splunk and Datameer, Why Splunk?, Connected Cars with Ford's OpenXC and Splunk, Big Data Management and Processing using Datameer, Installing Splunk Enterprise on Windows, Installing Splunk Enterprise on Linux, Exploring Splunk Queries, Optional: Creating Pivot Reports in Splunk
Big Data Processing Pipelines, Some High-Level Processing Operations in Big Data Pipelines, Aggregation Operations in Big Data Pipelines, Typical Analytical Operations in Big Data Pipelines, Overview of Big Data Processing Systems, The Integration and Processing Layer, Introduction to Apache Spark, Getting Started with Spark, WordCount in Spark
Spark Core: Programming In Spark using RDDs in Pipelines, Spark Core: Transformations, Spark Core: Actions, Spark SQL, Spark Streaming, Spark MLLib, Spark GraphX, Exploring SparkSQL and Spark DataFrames, Analyzing Sensor Data with Spark Streaming
Let's Analyze Soccer Tweets!, Expressing Analytical Questions as MongoDB Queries, Exporting Data from MongoDB to a CSV File, Analyzing Tweets About Countries
Course: La industria de hidrocarburos en la transición energética
Modules:
Introducción a la sostenibilidad, Reducción de emisiones, La sociedad y su desarrollo a través de los hidrocarburos
¿Qué es la transición energética?, Uso de energías limpias en exploración y extracción de hidrocarburos, La Transición Energética y el gas natural, El Rol del gas natural en la transición energética
¿Qué es el modelo petrolero rentista?, ¿Qué faltó con la Reforma de 2013?, El principal reto hacia futuro de la industria de hidrocarburos
Etapas de los campos petroleros, Entrevista con el experto, Inversiones como elemento clave para el desarrollo del bienestar del país, Fondo Mexicano del petróleo
Importancia del potencial de hidrocarburos en México, ¿De qué trata el plan quinquenal de licitaciones para la exploración y extracción de hidrocarburos?, El futuro de la industria petrolera en México
Course: Machine Learning Basics
Modules:
Let’s talk about machine learning, Supervised Learning, Unsupervised Learning, Reinforcement Learning, Overfitting vs. Generalization, model evaluation
How k-NN works, Weight factors, kernels for the k-NN, k-NN Classification implementations
Problem definition and solution in LR, Additive Linear model, Implementation of linear regression
What is a good model?, Logistic regression as a Linear classifier, Implementation of logistic regression
Course: Object-Oriented Analysis and Design: Foundations & Concepts
Modules:
Introduction to OOAD Specialization, Introduction to Instructor, Course and Module 1 Introduction, Developing Software - Requirements, Design Perspectives, Programming Language Paradigms, Course One Assignments Review, Module 1 Wrap-up and Assignment
Module 2 Introduction, OO Concepts - Part 1, OO Concepts - Part 2, Java for OOAD, Module 2 Wrap-up and Assignment
Module 3 Introduction, UML for OOAD - Class Diagrams, UML for OOAD - Use Case Diagrams, UML for OOAD - Other Diagrams, Module 3 Wrap-up and Assignment
Module 4 Introduction, Test and TDD for OO, Serialization and Messaging, JUnit for OOAD, Module 4 Wrap-up and Assignment
Module 5 Capstone Assignment, Course One Wrap-up
Course: Data Analysis with Python
Modules:
Course Introduction, Understanding the Data, Python Packages for Data Science, Importing and Exporting Data in Python, Getting Started Analyzing Data in Python, Accessing Databases with Python
Pre-processing Data in Python, Dealing with Missing Values in Python, Data Formatting in Python, Data Normalization in Python, Binning in Python, Turning Categorical Variables into Quantitative Variables in Python
Exploratory Data Analysis, Descriptive Statistics, GroupBy in Python, Correlation, Correlation - Statistics
Model Development, Linear Regression and Multiple Linear Regression, Model Evaluation using Visualization, Polynomial Regression and Pipelines, Measures for In-Sample Evaluation, Prediction and Decision Making
Model Evaluation and Refinement, Overfitting, Underfitting and Model Selection, Ridge Regression, Grid Search
Final Project Scenario, Cheat Sheet: Data Analysis for Python, IBM Digital Badge, Congratulations and Next Steps, Thanks from the Course Team
Course: Gemini in Google Docs Español
Modules:
Introduction a Gemini en Google Docs, Crea contenido con Gemini, Edita instrucciones y define mejor el texto, Revisa el texto de tus documentos, Actividad explicada
Course: Leading Through Effective Communication
Modules:
Welcome to Leading through effective communication!
Practice the solution: Sending a message with relatability, Infographic: How to lead through effective communication, Achieving self-awareness: Key takeaways
Practice the solution: Sharing your vision as a leader, Infographic: Tips on how to share your vision as a leader, Leading with a vision: Key takeaways
Practice the Solution: Assembling a successful team, Infographic: Building a team mindset, What a team needs to succeed: Key takeaways
Practice the Solution: Building future leaders, Infographic: Leader vs manager, Investing in others: Key takeaways
Practice the Solution: Making safe spaces to communicate, Infographic: Setting up a healthy communication environment, A safe setting for sharing: Key takeaways
Final Thoughts
Course: Advanced AI Techniques for the Supply Chain
Modules:
Course Intro, Module Intro, Overview of AI methods, Introduction to Neural Networks
Module Intro, Choosing an AI Model, Loss Functions
Module Intro, Autoencoders, Notebook Example of Loading Images, Notebook Example of CNNs, Convolutional Neural Networks
Predicting Digits Using the MNIST Dataset
Course: GenAI for Customer Service Representatives
Modules:
Introduction to GenAI for Customer Service Representatives, History & Background for GenAI and Customer Service Representatives, Demo for Resolving Customer Issues with Copilot of Microsoft Dynamics 365, Remediating Risks and Ethical Concerns, Demo for Using Microsoft Dynamics 365 for Better Customer Service, Closing Thoughts: What’s Next
Course: Data Visualization in Excel
Modules:
Course Introduction
Week 1 Introduction, Trend-based conditional formats, Value-based conditional formats, Macros for interactive visualizations, Visualizations with Sparklines and Shapes, Custom number formats
Week 2 Introduction, Charting techniques, Pies and doughnuts, Line charts and trendlines, Area charts, Scatter and bubble charts
Week 3 Introduction, Hierarchy charts, Waterfall and funnel charts, Geospatial charts, Custom chart techniques - population charts, Creative chart techniques - gauge charts
Week 4 Introduction, Summarise data with PivotTables, Customise PivotTables, Group and sort pivot data, Filter pivot data, Perform calculations in pivots, PivotCharts and other visualizations
Week 5 Introduction, Dashboard planning and layout, Add charts to a dashboard, Create responsive infographics, Slicers for interactive dashboards, Dashboard drilldowns and protection
Final assessment: All weeks
Course: International migrations: a global issue
Modules:
INTRODUCTION - VIDEO, GLOBALIZATION OF MIGRATION, THE SHIFTING OF MIGRANT CATEGORIES, A REGIONALIZATION OF MOVEMENTS THAT FORMS COMPLEX MIGRATION SYSTEMS, DEMOGRAPHIC BACKGROUND, MIGRATIONS AND DEVELOPMENT: A SELF-SUSTAINING PHENOMENON
THE EXPLOSION OF ASYLUM IN THE EARLY 1990S AND ITS REDEFINITION, DETERRENCE, PREVENTION, SECURING OF FLOWS, IN EUROPE, THE LARGEST REFUGEE MOVEMENT SINCE 1945, ENVIRONMENTALLY DISPLACED PERSONS: MIGRANTS OF TOMORROW?, STATELESS PERSONS
HISTORICAL CONTEXT, EUROPE, A CONTINENT OF IMMIGRATION AND ASYLUM DESPITE ITSELF, THE MEDITERRANEAN: ONE OF THE GREATEST LINES OF FRACTURE AND PROXIMITY IN THE WORLD, THE MIGRANT CRISIS IN THE MEDITERRANEAN, DEVELOPMENT OF THE SCHENGEN AREA
INTRODUCTION AND HISTORICAL OVERVIEW - PART 1, INTRODUCTION AND HISTORICAL OVERVIEW - PART 2, MIGRATION FIGURES AND ETHNIC STATISTICS - PART 1, MIGRATION FIGURES AND ETHNIC STATISTICS - PART 2, LOYALTY AND AFFILIATION: A LOGIC OF INCLUSION /EXCLUSION, MOBILITIES BY 2050
EVOLVING CITIZENSHIP FACED WITH MIGRATION, DISTINCTION BETWEEN NATIONALITY, CITIZENSHIP, AND DUAL NATIONALITY, IMMIGRATION: AN AGENT OF TRANSFORMATION, GLOBALIZATION AND CITIZENSHIP
BORDERS: ORDER OR DISORDER?, THE CONSTRUCTION OF BORDERS, FORGOTTEN BORDERS, EUROPE AND BORDERS, NEW BORDERS: THE MEDITERRANEAN, THE IMAGE OF THE OTHER
THE EMERGENCE OF GLOBAL GOVERNANCE OF MIGRATIONS: MULTILATERALISM, A SLOW REALIZATION, THE EMERGENCE OF GLOBAL GOVERNANCE OF MIGRATION: INTERNATIONAL MIGRATIONS TIMIDLY TAKE THEIR PLACE AMONG INTERNATIONAL ISSUES, THE RIGHT TO MOBILITY, A FUNDAMENTAL HUMAN RIGHT, FOR OR AGAINST FREEDOM OF MOVEMENT, IGOS AND NGOS
References
GLOBAL MIGRATION, 2013, REFUGEES AND INTERNALLY DISPLACED PERSONS, 1990-2014, INTERNALLY DISPLACED PERSONS SITUATION, END 2014., REFUGEE SITUATION, END 2014, HUMAN DEVELOPMENT INDEX 2013, REMITTANCES SENT BY MIGRANTS TO THEIR COUNTRIES OF ORIGIN, 2013, ORIGINS AND DESTINATIONS OF AFRICAN MIGRANTS, 2010, MIGRATION BETWEEN RUSSIA AND ITS FORMER REPUBLICS, 1990-2008, BLACKS AND HISPANICS IN THE UNITED STATES 2010, FILIPINO DIASPORA, 2007, CHINESE DIASPORA, 2007, EUROPEAN MIGRATION, 2013, SCHENGEN AREA, DEATHS BY THOUSANDS AT THE DOORS OF EUROPE, 1993-2012, CAMPS FOR FOREIGNERS IN EUROPE AND IN NEIGHBORING COUNTRIES, MIGRATION IN THE MEDITERRANEAN, ASYLUM SEEKERS IN EUROPEAN UNION, IMMIGRATION IN FRANCE: INDUSTRIALIZATION, 1891, IMMIGRATION IN FRANCE: RECONSTRUCTION, 1931, IMMIGRATION IN FRANCE: MODERNIZATION, 1975, Immigration in France: Urbanization, 2012
Course: Data Analysis and Representation, Selection and Iteration
Modules:
Course Introduction, Navigating a Coursera Course, Meet the Instructor (optional), Lesson Introduction, Mean and Standard Deviation, Part 1, Mean and Standard Deviation, Part 2, Fictional Drug Trials, Continuous vs Discrete Data, Spelling Errors
Lesson Introduction, If Statements, The Danger of Equals, Switch Statements
Lesson Introduction, Histograms, Bar Charts, Line Graphs, Pie Charts, Scatterplots, Super Cool Representations
Lesson Introduction, For Loops, Nested For Loops, While Loops, Do-While Loops, Nesting and Boxes, Finishing Up
Course: Operations Research (1): Models and Applications
Modules:
Prelude, 1-1: Motivation., 1-2: Business analytics., 1-3: Mathematical programming., 1-4: History., 1-5: Preview for this course.
2-0: Opening., 2-1: Introduction., 2-2: Elements of a mathematical program (1)., 2-3: Elements of a mathematical program (2)., 2-4: Linear programming., 2-5: Graphical approach., 2-6: Three types of LPs., 2-7: Simple LP formulation - Product mix., 2-8: Simple LP formulation - Production and inventory., 2-9: Simple LP formulation - Personnel scheduling., 2-10: Compact LP formulation - Production and Inventory., 2-11: Compact LP formulation – Product mix., 2-12: Computers – The Solver add-in and Example 1 – producing desks and tables., 2-13: Computers – Example 2: personnel scheduling., 2-14: Closing remarks.
3-0: Opening., 3-1: Introduction., 3-2: IP formulation (1)., 3-3: IP formulation (2)., 3-4: Facility location – Overview., 3-5: Facility location – Covering., 3-6: Facility location - UFL., 3-7: Machine scheduling - Overview., 3-8: Machine scheduling - Completion time minimization., 3-9: Machine scheduling - Makespan minimization., 3-10: Traveling salesperson problem - Basics., 3-11: Traveling salesperson problem - Subtour elimination., 3-12: Computers – Example 1 – personnel scheduling., 3-13: Computers – Example 2 –  facility location., 3-14: Closing remarks.
4-0: Opening., 4-1: Introduction., 4-2: The EOQ problem., 4-3: Formulating the EOQ model., 4-4: The portfolio optimization problem., 4-5: Portfolio optimization., 4-6: Linearizing an absolute value function., 4-7: Linearizing max_min functions., 4-8: Linearizing products 1A., 4-9: Linearizing products 1B 1C and 1D., 4-10: Linearizing products 2A., 4-11: Linearizing products 2B, 2C, and 2D., 4-12: Remarks - why linearization., 4-13: Computers – Portfolio optimization problem., 4-14: Closing remarks.
5-0: Opening., 5-1: Background and motivation., 5-2: Research objective., 5-3: Problem description - objective., 5-4: Problem description - constraints., 5-5: Model formulation - objective., 5-6: Model formulation - constraints., 5-7: Results., 5-8: Closing remarks.
6-1: Review for this course., 6-2: Preview for the next course., A story that never ends.
Course: Escalamiento exitoso e Innovación en los Negocios
Modules:
Video de bienvenida
Tipos de crecimientos y principales objetivos, Mecanismos de crecimiento, Estrategia de crecimiento y su relación con la innovación, Gestión de la innovación en la empresa, Estructura de Portafolio de innovación
Buenas prácticas al utilizar el directorio, Buena gobernanza en las organizaciones y las empresas
Darle sentido a un proyecto empresarial, Cómo entender las motivaciones de tus empleados, Conceptos de estructura y gobierno corporativo, Estructuras organizacionales para competir, Principales desafíos del CEO Management
Concepto de decisión estratégica financiera_Primera parte, Concepto de decisión estratégica financiera_Segunda parte, Capital de trabajo y activos líquidos, Financiamiento y riesgo_Patrimonio versus deudas_Parte 1, Financiamiento y riesgo: Patrimonio versus deudas: Parte 2, Aportes de inversión en las compañias, Como manejar las utilidades
Modelo de rentabilidad: Cómo escalar el negocio, Estrategia de crecimiento masivo en Marketing, Marketing estratégico digital y métricas de rendimiento.
¿Estás listo para levantar capital y levantar tu negocio?, Datos prácticos y el paso a paso del levantamiento de capital., Estrategias de internacionalización
Course: Marketing in a Digital World
Modules:
Welcome to Marketing in a Digital World, Marketing Overview, The Impact of the Gies Community, Product Overview, Product, Customer Co-Creation (Part 1), Customer Co-Creation (Part 2), Case Study: Threadless, Sharing Economy (Part 1), Sharing Economy (Part 2), Exercise: Ideas.Lego.com, Interview with Martijn Scheijbeler
Promotion Overview, Promotion, User Generated Content (Part 1), User Generated Content (Part 2), Case Study: GoPro, Doppelganger Brand Images Part 1, Doppelganger Brands Part 2, Exercise: Wikipedia.org, Interview with Rafael Schwarz
Placement Overview, Placement, New Retail (Part 1), New Retail (Part 2), Case Study: Tesla, Desktop Manufacturing (Part 1), Desktop Manufacturing (Part 2), Exercise: Thingiverse.com, Interview with Alan Craig & Max Collins
Price Overview, Price, Pay What You Want (Part 1), Pay What You Want (Part 2), Case Study: Panera, Freemium (Part 1), Freemium (Part 2), Exercise: It's Full of Sparks, Interview with Cody Burch, Course Farewell, Learn on Your Terms
Course: 大數據分析：商業應用與策略管理 (Big Data Analytics: Business Applications and Strategic Decisions)
Modules:
1-0-1 課程引言人學習引導, 1-1-1 課程總覽介紹（魏志平教授講述）, 1-2-1 課程與教師介紹, 1-2-2 想到大數據，你會想到什麼？, 1-2-3 為什麼需要大數據？大數據生活中的應用、大數據比你更瞭解你自己, 1-2-4 產學之間真的有落差嗎？, 1-2-5 直播提問解答
2-0-1 第二週課程引言人開場與課前提問, 2-1-1 簡介金融服務之功能, 2-1-2 金融業者擁有的資料庫種類, 2-1-3 金融服務數據分析的目的, 2-2-1 保險實例（一）：決策樹之應用，瞭解客戶的行為模式, 2-2-2 保險實例（二）：關聯分析之應用，瞭解客戶及商品之間的關聯性, 2-2-3 保險實例（三）：將客戶有效分群，瞭解客戶的分佈特性, 2-3-1 四種常用的股市分析方法與股市資料種類, 2-3-2 從股票數據分析延伸出的三種應用, 2-3-3 如何利用新聞等外部資訊評估企業風險, 2-3-4 如何利用內外部資料進行股價趨勢預測, 2-4-1 延伸問題（一）：新興金融服務有哪些風險與法規限制？, 2-4-2 延伸問題（二）：自己練習做股票分析，可以使用哪些現有的資源？, 2-4-3 老師分享：大數據如何改變組織分工？
3-0-1 第三週課程引言人開場與課前提問, 3-1-1 經典行銷理論介紹：市場區隔理論, 3-1-2 行銷與零售業者擁有的資料庫種類, 3-1-3 行銷與零售數據分析的目的, 3-2-1 常用在行銷與零售上的四種資料分析方法簡介, 3-2-2 深入介紹關聯分析（一）：共同出現的概念, 3-2-3 深入介紹關聯分析（二）：透過指標檢驗找出關聯性, 3-2-4 大型書籍零售賣場案例（一）：尋找常被一起購買的不同商品, 3-2-5 大型書籍零售賣場案例（二）：尋找會員基本資料與購買商品間的關聯性, 3-2-6 零售賣場案例（一）：聯合促銷, 3-2-7 零售賣場案例（二）：目標行銷, 3-3-1 電商的業績計算方式與優化目標, 3-3-2 透過會員分群擬定行銷策略, 3-3-3 Amazon案例：個人化推薦的侷限性與平衡方法, 3-4-1 延伸問題（一）：傳統的市場區隔理論隨時代演進有哪些改變？, 3-4-2 延伸問題（二）：如何分析新的零售策略所帶來的附加價值？, 3-4-3 老師分享：企業導入資料分析方法時會產生的顯性與隱性成本
4-0-1 第四週課程引言人開場與課前提問, 4-1-1 從累積資料到分析資料, 4-2-1 群落偵測簡介, 4-2-2 群落偵測方法：聚合法, 4-2-3 群落偵測方法：拆解法, 4-2-4 如何產生網路？顯性與隱性網路, 4-3-1 引言：社群媒體創造了新的發言方式, 4-3-2 如何評估社群媒體上的影響力：Page rank方法, 4-3-3 解決 Page rank 衍生的問題： Random walk 概念介紹, 4-3-4  解決 Random walk 的收斂問題：Teleport 概念介紹, 4-3-5 PageRank 總結與其他細部問題, 4-4-1 延伸問題（一）：完成分群後如何知道不同群體分別適合怎樣的服務？, 4-4-2 延伸問題（二）：實務上是否有判斷「文風相似」的客觀標準？, 4-4-3  延伸問題（三）：尋找意見領袖 - 新興的意見領袖如何找尋？, 4-4-4 延伸問題（四）：尋找意見領袖 - 在大數據中如何辨識灌水與分身？
5-0-1 第五週課程引言人開場與課前提問, 5-1-1 社群媒體與行銷智慧：背景與現況, 5-1-2 情感分析技術的流程, 5-1-3 範例：應用概念層級情感分析進行口碑分析, 5-2-1 前言：是否可以透過社群媒體資料萃取出其他的行銷智慧？, 5-2-2 傳統市場結構分析與限制, 5-2-3 利用社群媒體資料進行市場結構分析之方法與步驟, 5-2-4 步驟（一）：品牌識別與分群, 5-2-5 步驟（二）：品牌比較關係判定, 5-2-6 步驟（三）：品牌關聯強度估算, 5-2-7 步驟（四、五）：群落偵測與視覺化, 5-2-8 範例（一）：汽車市場評論, 5-2-9 範例（二）：筆記型電腦之市場結構分析, 5-3-1 前言：品牌形象聯想與效益, 5-3-2 傳統品牌聯想萃取方法與限制, 5-3-3 利用社群媒體資料進行品牌聯想的萃取方法與步驟, 5-3-4 步驟（一）：聯想萃取, 5-3-5 步驟（二）：喜好度判定與聯想分群, 5-3-6 步驟（三）：聯想選擇, 5-3-7 步驟（四、五）：鏈結權重衡量與品牌聯想網路視覺化, 5-3-8 航空公司範例：品牌聯想網路概念說明, 5-3-9 航空公司範例：品牌權益預測模型, 5-3-10 航空公司範例：資料集合與分析結果, 5-4 整體技術挑戰與結論, 5-5-1 延伸問題（一）：面對真真假假的網路評論，資料科學家如何保持分析的品質？, 5-5-2 延伸問題（二）：本課程所教的方法是否有較適用的產業呢？, 5-5-3 延伸問題（三）：企業如何從品牌聯想分析看到自己與競爭對手的定位？
6-0-1 第六週課程引言人開場與課前提問, 6-1-1 引言：傳統RuleBase方法介紹, 6-1-2 數位時代中顧客行為的改變, 6-1-3 轉型（一）：從官網發現新需求, 6-1-4 轉型（二）：根據官網資料為既有客戶量身訂做, 6-1-5 轉型（三）：用Social listening掌握熱門金融話題, 6-1-6 轉型（四）：玉山金控 e指貸款服務, 6-1-7 轉型（五）：大數據徵信潛在使用者分析, 6-1-8 結語：數據驅動普惠金融的成果, 6-2-1 初期痛點與調整方式, 6-2-2 近期成就（一）：建立數位資料庫, 6-2-3 近期成就（二）：從官網萃取有意義的變數, 6-2-4 近期成就（三）：建立意圖資料庫, 6-2-5 玉山金控遇到的挑戰與機會, 6-3-1 具備跨界整合力的『pi型人才』, 6-3-2 資料工程師與資料科學家養成地圖, 6-3-3 資料科學家職涯地圖, 6-3-4 資料科學家所需具備的能力, 6-3-5 新興科技研發基地：玉山 Innovation Lab 介紹, 6-3-6 自我挑戰的方向：產學合作競賽介紹, 6-4-1 延伸問題（一）：大數據轉型為銀行創造的價值, 6-4-2 延伸問題（二）：行動裝置的普及打破數位足跡的侷限性, 6-4-3 延伸問題（三）：數位金融長給有志於成為資料科學家同學的建議
7-0-1 課程引言人總結
Course: Responsible AI for Developers: Privacy & Safety - Français
Modules:
Présentation du cours
Présentation de la confidentialité de l'IA, Confidentialité au niveau des données d'entraînement : techniques d'anonymisation, Confidentialité au niveau des données d'entraînement : techniques de randomisation, Confidentialité au niveau de l'entraînement de machine learning : DP-SGD, Confidentialité au niveau de l'entraînement de machine learning : apprentissage fédéré, Sécurité du système sur Google Cloud, Sécurité du système pour l'IA générative, Atelier : Confidentialité différentielle dans le machine learning avec TensorFlow Privacy, Coursera: Premiers pas avec Google Cloud Platform et Qwiklabs
Présentation de la sécurité de l'IA, Évaluation de la sécurité, Prévention des dommages, Entraînement de modèle pour la sécurité : affinage des instructions, Entraînement de modèle pour la sécurité : RLHF, Sécurité dans l'IA générative sur Google Cloud, Atelier : Mettre en place des sauvegardes avec l'API Gemini Vertex AI
Résumé du cours
Module 0 : Présentation du cours, Module 1 : Confidentialité de l'IA, Module 2 : Sécurité de l'IA, Module 3 : Résumé du cours
Course: Security Best Practices in Google Cloud en Français
Modules:
Guide d'accueil et de démarrage
Présentation du module, Comptes de service, rôles IAM et niveaux d'accès aux API, Présentation de l'atelier : Configurer, utiliser et auditer les comptes de service et les niveaux d'accès d'une VM, Coursera : Premiers pas avec Google Cloud et Qwiklabs, Se connecter aux machines virtuelles, Se connecter à des VM sans adresse IP externe, OS Login, Commandes pour les règles d'administration, VM protégées, Confidential VMs, Certificate Authority Service, Fonctionnalité offerte par Certificate Authority Service, Bonnes pratiques pour Compute Engine, Récapitulatif du module
Présentation du module, Autorisations IAM et LCA dans Cloud Storage, Audits des données cloud, URL et documents de stratégie signés, Chiffrement à l'aide de clés CMEK et CSEK, Présentation de l'atelier : Utiliser des clés de chiffrement fournies par le client avec Cloud Storage, Présentation de l'atelier : Utiliser des clés de chiffrement gérées par le client avec Cloud Storage et Cloud KMS, Cloud HSM, Démonstration : Utiliser et vérifier des clés dans Cloud HSM, Rôles IAM et vues autorisées dans BigQuery, Présentation de l'atelier : Créer une vue autorisée BigQuery, Bonnes pratiques de stockage, Récapitulatif du module
Présentation du module, Types de failles de sécurité des applications, Web Security Scanner, Présentation de l'atelier : Identifier les failles des applications avec Security Command Center, Menace : Hameçonnage visant les identités et OAuth, Identity-Aware Proxy (IAP), Présentation de l'atelier : Sécuriser des applications Compute Engine avec BeyondCorp Enterprise, Secret Manager, Présentation de l'atelier : Configurer et utiliser des identifiants avec Secret Manager, Récapitulatif du module
Présentation du module, Présentation de Kubernetes/GKE, Authentification et autorisation, Renforcer vos clusters, Sécuriser vos charges de travail, Surveillance et journalisation, Récapitulatif du module
Course: Android Graphics with OpenGL ES
Modules:
Introduction, The example program, The OpenGL Pipeline, Shading language, OpenGL ES, OpenGL Primitives, Summary
Introduction, 2D objects in OpenGL, Pyramids, Colour, The index buffer, Rotation, Summary
Introduction, Example Program, Simple shapes, Curved shapes, Spheres, Arbitrary shapes, Summary
Introduction, Timer task
Course: Gemini in Google Sheets - Bahasa Indonesia
Modules:
Pengantar Gemini di Google Spreadsheet, Membuat Rencana dan Pelacak, Membuat dan Menyempurnakan Perintah Template, Penjelasan Aktivitas
Course: Ciudades en Transición
Modules:
Bienvenida, Ciudades en transición socio-ecológica, Ciudad, patrimonio y memoria, Ciudad, patrimonio y memoria, Ciudad, patrimonio y memoria, Gobernanza y transiciones urbanas, Gobernanza y transiciones urbanas
Ciudades en la transición digital, Ciudades en la transición digital, Globalización = ¿urbanismo?, Globalización = ¿urbanismo?, Emergent urban food systems: urban transitions through a food system lens, Emergent urban food systems: urban transitions through a food system lens
Clima y ciudad, Clima y ciudad, Movilidades emergentes: tendencias, retos y oportunidades, Movilidades emergentes: tendencias, retos y oportunidades, Movilidades emergentes: tendencias, retos y oportunidades, Género y ciudad, Género y ciudad
Trabajo, empleo y ciudad en la transición socioecológica, Trabajo, empleo y ciudad en la transición socioecológica, Health and cities, Health and Cities, Futuros en las ciudades, Cierre
Course: Linux Fundamentals
Modules:
Specialization Overview, History of Linux, Linux Licensing Model, Linux Distributions, Linux Command Line, Week 1 Lab Solution Video
Servers vs Desktops, Web Servers, Database Servers, Managing Services, Week 2 Lab Solution Video
Handle Files and Directories, Files and Directory Links, Reading Files, Find and Compare Files, Week 3 Lab Solution Video
Filter Text Files, Redirect Standard In, Out and Error, Pipe & Filter, Editing Text Files, Week 4 Lab Solution Video
Course: Escritura académica. Estilos de citación y referenciación.
Modules:
Presentación del curso
Generalidades de los estilos bibliográficos
Generalidades del estilo bibliográfico APA, Citación del estilo bibliográfico APA, Referenciación en el estilo bibliográfico APA
Generalidades del estilo bibliográfico IEEE, Citación del estilo bibliográfico IEEE, Referenciación en el estilo bibliográfico IEEE
Generalidades del estilo bibliográfico Vancouver, Citación del estilo bibliográfico Vancouver, Referenciación en el estilo bibliográfico Vancouver, Despedida
Course: Generative AI for Code Completion
Modules:
Course Introduction
Introduction to Generative AI and Its Impact on Code Completion, Best Practices for AI-Driven Code Completion, Using LLM-Chat Interfaces for Code Completion
Evaluating AI Tools for Code Completion, Using GitHub Copilot for Code Completion, Using Open-Source Models for Code Completion
Course: Using Python to Access Web Data
Modules:
Welcome to The Course, Welcome to Python - Guido van Rossum, Windows 10: Installing Python and Writing A Program, Windows: Taking Screen Shots, Macintosh: Using Python and Writing A Program, Macintosh: Taking Screen Shots
11.1 - Regular Expressions, 11.2 - Extracting Data, Bonus: Office Hours - Den Haag, Bonus Interview: Bjarne Stroustrup - C++
12.1 - Networked Technology, 12.2 - Hypertext Transfer Protocol (HTTP), Worked Example: Sockets (Chapter 12), Using the Developer Console to Explore HTTP, Bonus: Leonard Kleinrock - The First Two Packets on the ARPANET, Bonus Video: Robert Cailliau - co-Inventor of the Web, Bonus: Office Hours - Atlanta GA (Buckhead), Fun: Dr. Chuck @ CNN Reading the News
12.3 - Unicode Characters and Strings, 12.4 - Retrieving Web Pages, Worked Example: Using Urllib (Chapter 12), 12.5 - Parsing Web Pages, Worked Example: BeautifulSoup (Chapter 12), Bonus: Office Hours - Montreal, Bonus Interview: Tim Berners-Lee - Inventing the Web, Fun: I Got My Mojo Working - Geneva, Switzerland
13.1 - Data on the Web, 13.2 eXtensible Markup Language (XML), 13.3 - XML Schema, 13.4 - Parsing XML, Worked Example: XML (Chapter 13), Interview: Roy Fielding - Understanding the REST Architecture, Bonus: Office Hours - Boston, Bonus Video: Ian Horrocks / RDF / OWL (Advanced)
13.5 - JavaScript Object Notation (JSON), Worked Example: JSON (Chapter 13), Interview: Douglas Crockford - Discovering JSON, 13.6 - Service Oriented Approach, Video: Service Oriented Architectures, 13.7 - Using Application Programming Interfaces, Worked Example: OpenStreetMap API (Chapter 13), Bonus: Office Hours - Melbourne, AU, Bonus: Office Hours - Santa Monica, CA, Bonus: Class Reunion at Bletchley Park
Course: How Google does Machine Learning
Modules:
Course series preview, Course introduction
Introduction, What is ML?, What problems can it solve?, Activity intro: Framing a machine learning problem, Activity solutions: Framing a machine learning problem, Infuse your apps with ML, Build a data strategy around ML
Introduction, ML Surprise, The secret sauce, ML and business processes, The path to ML, A closer look at the path to ML, End of phases deep dive
Introduction, Moving from experimentation to production, Components of Vertex AI, Getting Started with Google Cloud Platform and Qwiklabs, Lab intro: Using an image dataset to train an AutoML model, Lab demo: Using an image dataset to train an AutoML model, Lab intro: Training an AutoML video classification model, Lab demo: Training an AutoML video classification model, Tools to interact with Vertex AI
Introduction, Machine learning development with Vertex Notebooks
Introduction, Best practices for machine learning development, Data preprocessing best practices, Best practices for machine learning environment setup
Introduction, Overview, Human biases lead to biases in ML models, Biases in data, Evaluating metrics with inclusion for your ML system, Equality of opportunity, How to find errors in your dataset using Facets
Summary, Resource: All quiz questions, Resource: All readings, Resource: All slides
Course: Computational Neuroscience
Modules:
1.1 Course Introduction, 1.2 Computational Neuroscience: Descriptive Models, 1.3 Computational Neuroscience: Mechanistic and Interpretive Models, 1.4 The Electrical Personality of Neurons, 1.5 Making Connections: Synapses, 1.6 Time to Network: Brain Areas and their Function
2.1 What is the Neural Code?, 2.2 Neural Encoding: Simple Models, 2.3 Neural Encoding: Feature Selection, 2.4 Neural Encoding: Variability, Vectors and Functions (by Rich Pang), Convolutions and Linear Systems (by Rich Pang), Change of Basis and PCA (by Rich Pang), Welcome to the Eigenworld! (by Rich Pang)
3.1 Neural Decoding and Signal Detection Theory, 3.2 Population Coding and Bayesian Estimation, 3.3 Reading Minds: Stimulus Reconstruction, Fred Rieke on Visual Processing in the Retina, Gaussians in One Dimension (by Rich Pang), Probability distributions in 2D and Bayes' Rule (by Rich Pang)
4.1 Information and Entropy, 4.2 Calculating Information in Spike Trains, 4.3 Coding Principles, What's up with entropy? (by Rich Pang), Information theory? That's crazy! (by Rich Pang)
5.1 Modeling Neurons, 5.2 Spikes, 5.3 Simplified Model Neurons, 5.4 A Forest of Dendrites, Eric Shea-Brown on Neural Correlations and Synchrony, Dynamical Systems Theory Intro Part 1: Fixed points (by Rich Pang), Dynamical Systems Theory Intro Part 2: Nullclines (by Rich Pang)
6.1 Modeling Connections Between Neurons, 6.2 Introduction to Network Models, 6.3 The Fascinating World of Recurrent Networks
7.1 Synaptic Plasticity, Hebb's Rule, and Statistical Learning, 7.2 Introduction to Unsupervised Learning, 7.3 Sparse Coding and Predictive Coding, Gradient Ascent and Descent (by Rich Pang)
8.1 Neurons as Classifiers and Supervised Learning, 8.2 Reinforcement Learning: Predicting Rewards, 8.3 Reinforcement Learning: Time for Action!, Eb Fetz on Bidirectional Brain-Computer Interfaces
Course: Benefits: Health, Wellness, Work & Lifestyle
Modules:
Health, Wellness, Work, Lifestyle, Introduction to Health, Wellness, Work and Lifestyle Benefits, Coverage Options and Networks, Price, Premiums, and Costs, Co-insurance, Co-pays, and Maximums, Coordination of Benefits (COB), Employee Eligibility, Dependents and QMCSOs, Enrollment Periods, Enrollment Methods and Timing, Qualifying Events
Medical Plan Types, Bundling Coverage Plans, Types of Flexible Spending Accounts, Administering Healthcare Plans and Spending Accounts
Introduction to Work Benefits, Types of Paid Time-Off, Accrual and Grant Trends, Administering Work Benefit Programs, A Closer Look: PTO Software
The Variety of Lifestyle Benefits, Balancing Your Strategy with Employee Needs, Administering Lifestyle Benefit Programs, Evaluating Lifestyle Benefit Programs, Employee Benefits FAQ, Part 1, Course Completion: Congratulations
Course: Visualización de Datos - Gestión Empresarial
Modules:
La Taxonomía de Abela, Lo que se debe y no debe hacer en la visualización de datos
¿Qué es Tableau?, ¿Por qué Tableau es la mejor elección?
El Flujo de Trabajo con Power BI, ¿Por qué Power BI?
¿Por qué se recomienda Python para la visualización de datos?, Python para la visualización de datos, Entrevista con el experto
Course: ART of the MOOC: Activism and Social Movements
Modules:
Introduction to Art of the MOOC
Organizing Sustained and Sporadic Actions, From Refusal and Boycott to Humor and Satire, Subverting Symbols and Power Structures, Prompt-Overview of Project Assignment, Beka Economopoulos, Gulf Labor, Rebecca Gomperts, Leonidas Martin, Naeem Mohaiemen, Joshua Wong
Circulate a Joke Project, Call to Action Project
Art Historical Terms and the Art of Everyday Life, Cultural Institutions and and International Exhibitions, Prompt-Overview of Project Assignment, Chido Govera, Hans Haacke, Future Farmers, Shannon Jackson, Jolene Rickard, Abigail Satinsky
Plant, Garden, Cook, Eat Project, Intervention at a Cultural Institution Project
Embodied Knowledges, Prompt-Overview of Project Assignment, Mujeres Creando, Regina José Galindo, Mariam Ghani, Sharon Hayes, Chemi Rosado-Seijo
Daily Performance Project, Masking or Covering Project
Course: محاسبة المخزون | Accounting for inventory
Modules:
مقدمة عن قائمة المركز المالي, قائمة الدخل وكيفية ظهور المخزون فيها, الخطوات المحاسبية لمعالجة العمليات الخاصة بالمخزون, الفرق بين نظام الجرد المستمر ونظام الجرد الدوري, الخطوات المحاسبية لمعالجة المخزون, دراسة عملية, تقييم المخزون  بطريقة (FIFO), تقييم المخزون  بطريقة (LIFO), تقييم المخزون  بطريقة (Weighted Average Cost), المعالجة المحاسبية لمواجهة الارتفاع أو الانخفاض في القيمة السوقية للمخزون
Course: Health Care IT: Challenges and Opportunities
Modules:
Welcome to the course
Module 1: Interview: Bruce Darrow with Kumar Chatani
Module 2: What Make IT Easy?
Module 3: What Makes Health IT Hard?
Module 4: Why Health IT Now?
Module 1: What Patients Tell Us They Want From Health IT (Part 1), Module 1: What Patients Tell Us They Want From Health IT (Part 2)
Module 2: Patient Self-Service with Health IT
Module 3: The Failure and Promise of Personal Health Records
Module 1: Interview: Bruce Darrow with Wen Dombrowski (Part 1), Module 1: Interview: Bruce Darrow with Wen Dombrowski (Part 2), Module 1: Interview: Bruce Darrow with Wen Dombrowski (Part 3)
Module 2: The office visit
Module 3: The emergency department
Module 4: The hospital
Module 1: Panel Interview: Nick Genes, Sudipto Srivastava,  Matt Grob, Ashish Atreja (Part 1), Module 1: Panel Interview: Nick Genes, Sudipto Srivastava,  Matt Grob, Ashish Atreja (Part 2), Module 1: Panel Interview: Nick Genes, Sudipto Srivastava,  Matt Grob, Ashish Atreja (Part 3)
Module 2: Why Digital Medicine Is So Easy… And So Hard
Module 3: Mobile health, Module 3: Wearables, Module 3: Jen Hajj interview
Module 4: Telehealth
Module 5: Digital Data Analytics
Module 1: Interview Bruce Darrow with Kristin Myers
Module 2: EMR functions (how EMR actually works)
Module 3: Interview Bruce Darrow with David Reich
Module 4: History of Health IT
Module 5: Beyond Your EMR
Module 6: Prescription Managment
Course: Conceptos básicos para la igualdad de género
Modules:
Introducción general al curso conceptos básicos para la igualdad de género, Introducción, Diferencia entre sexo y género, Roles y estereotipos de género, Mandatos de género, Diversidades sexogenéricas, Cierre
Introducción, Sistema binario, Jerarquía, Repetición, El sistema sexo-género en la cultura, Heteropatriarcado, Cierre
Introducción, Diferencias en la experiencia de ser mujer, Las muchas marcas identitarias que se intersectan, ¿La interseccionalidad contradice la igualdad?, Cierre
Introducción, División sexual del trabajo, Trabajo productivo - trabajo reproductivo, Trabajo doméstico no remunerado, Trabajo doméstico remunerado, Trabajo de cuidados-doble jornada laboral, Brecha de género. Feminización y masculinización de oficios y profesiones, El impacto de la pandemia en las mujeres, Uso del tiempo libre y el espacio público
Introducción, ¿Qué es la conciliación y corresponsabilidad?, Consecuencias físicas de la falta de corresponsabilidad, Consecuencias laborales de la falta de corresponsabilidad, Corresponsabilidad afectiva, Medidas para lograr la corresponsabilidad parte 1, Medidas para lograr la corresponsabilidad parte 2, Síntesis: corresponsabilidad, Video de cierre
Course: Community Change in Public Health
Modules:
Lecture 1: Ecological Model, Lecture 2A: Definitions of Community, Lecture 2B: A Second Perspective and Framework: Offensive, Defensive, and Hidden Communities
Lecture 3: Community Efficacy and Competence, Lecture 4A: Community Change Models, Lecture 4B: Approaches and Tools for Community Participation and Change, Lecture 4C: Community Change Models: Conclusions, Lessons, and Thoughts
Lecture 5: The Political Economy Framework, Lecture 6A: What Is Participation?, Lecture 6B: Levels of Involvement
Lecture 7: Community Coalitions, Lecture 8A: Community Participation Onchocerciasis: A Case Study, Lecture 8B: Results of Enhancing Community-Directed Treatment
Lecture 9: CDI Process
Course: Introduction to Financial Planning and Wealth Management
Modules:
Course Introduction
Growth: Past, Present, and Future, Industry Overview: Institutions and Organizations, What's In It For You?
Wealth Management vs Asset Management, What is Wealth Management, Wealth Management vs Financial Planning, How Wealth Management Differ, Top Industry Players
Career Paths and Skill Set, Financial Planning: Role and Skills, Financial Planning: Compensation Structure, Financial Planning Continued, Wealth Management Roles, Investment Advisors, Portfolio Managers, Compensation for Wealth Managers, 'Sink' or 'Swim' Compensation
Job Risks and Fit, Job Risks and Fit Continued, Commonalities to Consider Across the Board
Advisor's Day-to-Day Activities, What Makes the Career Path Attractive
Where do FPs and WMs work?, As Support Staff and Independent Practitioner
Summary
Qualified Assessment
Course: Robotics: Perception
Modules:
Introduction, Camera Modeling, Single View Geometry, More on Perspective Projection, Glimpse on Vanishing Points, Perspective Projection I, Perspective Projection II, Point-Line Duality, Rotations and Translations, Pinhole Camera Model, Focal Length and Dolly Zoom Effect, Intrinsic Camera Parameter, 3D World to First Person Transformation, How to Compute Intrinsics from Vanishing Points, Camera Calibration
Vanishing Points; How to Compute Camera Orientation, Compute Projective Transformations, Projective Transformations and Vanishing Points, Cross Ratios and Single View Metrology, Two View Soccer Metrology
Visual Features, Singular Value Decomposition, RANSAC: Random Sample Consensus I, Where am I? Part 1, Where am I? Part 2, Pose from 3D Point Correspondences: The Procrustes Problem, Pose from Projective Transformations, Pose from Point Correspondences P3P
Epipolar Geometry I, Epipolar Geometry II, Epipolar Geometry III, RANSAC: Random Sample Consensus II, Nonlinear Least Squares I, Nonlinear Least Squares II, Nonlinear Least Squares III, Optical Flow: 2D Point Correspondences, 3D Velocities from Optical Flow, 3D Motion and Structure from Multiple Views, Visual Odometry, Bundle Adjustment I, Bundle Adjustment II, Bundle Adjustment III