dipopotamus/custom_instruct_coursera_course_module_list huggingface dataset:
Course: Introduction to Generative AI
Modules:
Meet your course instructor: Alfredo Deza, Meet your course instructor: Derek Wales, About this Course, Introduction, What is Generative AI?, Brief history and Evolution of AI, How do Large Language Models Work in applications?, How are Large Language Models created?, Summary, Introduction, What are LLMs and how do they work?, Benefits and risks of using LLMs, Mitigating risks of LLMs, What are foundation models?, Summary, Introduction, OpenAI and ChatGPT, Hugging Face and Open Source models, Using local models, Cloud-based solutions, Summary
Introduction, What is Prompt Engineering?, Zero, one, and few-shot prompting, Basic prompting with context, Using examples in prompts, Summary, Introduction, Setting tone and persona, Refining on previous context, Better instructions through feedback, Understanding limitations, Summary, Introduction, Limitations of context, Breaking down into smaller tasks, Using Chain of Thought, Other useful prompting techniques, Summary
Introduction, Common types of Generative AI Applications, Overview of an API-based application, Overview of an embedded-model application, What is a multi-model application?, Summary, Introduction, What is RAG?, Overview of a RAG application, Managing data for RAG, Verifying embeddings and search, Using RAG with an LLM, Summary, Introduction, Application overview, Deployment overview, Setting up cloud components, Using the Azure cloud for deployment, Summary
Meet your Course Instructor: Derek Wales, DALL-E Overview, Demo: Environment Set Up, Demo: OpenAI API Generating a Shopping List, Demo: DALL-E to Generate an Image, OpenAI/DALL-E Summary, OpenAI Fine Tuning and Project Intro, Fine Tuning Project: Part One - Env/Data Prep, Fine Tuning Project: Part Two - Starting Fine Tuning, Fine Tuning Project: Part Three - Model Evaluation, Fine Tuning Summary, OpenAI Whisper Model Project Overview, Video Summarizer Walkthrough, Whisper Model API Wrap Up, AI Business Environment, AI Ethics Principles, Local Machine Learning Models/Next Course Preview, Module Wrap Up, Course summary
Course: Google Cloud Storage and Containers for AWS Professionals
Modules:
Storage in Google Cloud, Database services in Google Cloud, Module 1 Student Guide (Storage in Google Cloud), Module 1 Student Guide (Database services in Google Cloud)
GKE Concepts and Architecture, Deployments in Kubernetes, Module 2 Student Guide (GKE Concepts and Architecture), Module 2 Student Guide (Deployments in Kubernetes)
Course: Kalman Filter Boot Camp (and State Estimation)
Modules:
1.1.1: Welcome to the course!, 1.1.2: What are some key Kalman-filter concepts?, 1.1.3: Working through a Kalman-filter example at a high level, 1.1.4: Roadmap to this course; context within the specialization, 1.1.5: What are some applications that use Kalman filters?, 1.1.6: Summary of "What is the Purpose of a Kalman Filter?" module plus next steps
1.2.1: What is a state-space model and why do I need to know about them?, 1.2.2: Example continuous-time state-space models used for tracking applications, 1.2.3: Understanding the time-domain response of a state-space model, 1.2.4: Illustrating the time-domain response, 1.2.5: Converting continuous-time state-space models to discrete-time, 1.2.6: How do I simulate a discrete-time state-space model?, 1.2.7: Is it even possible for a Kalman filter to estimate this model's state?, 1.2.8: Summary of "What do I need to know about state-space models?" module plus next steps
1.3.1: Understanding uncertainty via mean and covariance, 1.3.2: Understanding joint uncertainty of two unknown quantities, 1.3.3: Understanding time-varying uncertain quantities, 1.3.4: Simulating correlated Gaussian random vectors, 1.3.5: Discrete-time dynamic systems having random inputs, 1.3.6: Continuous-time dynamic systems having random inputs, 1.3.7: Relating SigmaW to Sw precisely; a little trick (also, relating SigmaV to Sv), 1.3.8: Summary of "What do I need to know about random variables?" module plus next steps
1.4.1: What are the linear Kalman-filter steps?, 1.4.2: Preparing a model for use with the linear Kalman filter, 1.4.3: How do I implement the Kalman-filter steps in Octave?, 1.4.4: More Kalman-filter examples for state estimation of a linear system, 1.4.5: What can cause a Kalman filter to fail?, 1.4.6: Summary of "State-estimation application of a Kalman filter" module plus next steps
Course: Critical Thinking Skills for University Success
Modules:
Welcome to the Academic Skills for University Success Specialization!, 1.1a Introduction to the Course, 1.2a Introduction to Academic Culture, 1.2b Introduction to Critical Thinking, 1.3a Survival Skills at University part 1, 1.3b Survival Skills for University part 2, 1.4a Academic Integrity
2.1a Dispositions & Habits of Mind for Critical Thinking, 2.1b Dispositions & Habits of Mind for Critical Thinking Expert Video, 2.2a Argument Spheres, 2.3a Argument Fields, 2.4a Questioning in Critical Thinking, 2.4b Questioning a Text, 2.4c Questioning in Critical Thinking Expert Video
3.1a Premises and Conclusions, 3.1b Formal Logic Structures, 3.2a Common Fallacies, 3.3a Forms of Reasoning, 3.4a Applying Systems Thinking, 3.4b Applying Systems Thinking Expert Video
4.1a Claims and Evidence, 4.1b Claims and Evidence Expert Video, 4.2a Identifying Biases and Assumptions 1, 4.2b Identifying Biases and Assumptions 2, 4.2c Identifying Biases and Assumptions 3, 4.3a Using Critical Thinking to Evaluate Arguments 1, 4.3b Using Criteria to Evaluate Arguments 2, 4.4a Types of Argument 1, 4.4b Types of Argument 2, 4.4c Types of Arguments Expert Video
5.1a Argument Structures, 5.1b Argument Chains, 5.1c Argument Chains - Slippery Slope, 5.2a Models for Academic Argumentation, 5.3a Critical Thinking and Critique, 5.4a Critical Thinking and Reflective Writing
Summative Assessment Overview, How to mark your peers' assignments, Practice peer marking activity answers, Congratulations - You've Finished!
Course: 游戏策划与设计
Modules:
课程介绍, 研发流程概述, 立项审议, 用户分析, Demo设计, 完全提案, 制作人职责, 职业导航, 研发测试, 数据挖掘, 案例分析（上）, 案例分析（下）, 产品运营概述, 策划阶段运营, 上线阶段运营
策划开发团队, 策划任务分工, 在乎玩家体验, 核心玩家心理, 你快乐所以我快乐, 直指玩家需求, 游戏性
游戏概念设计创意, 游戏脚本创作原则, 网络文学创作原则, 网络文学创作方法, 网络文学创作技巧, 网文变身游戏脚本, 泛娱乐产业解析（上）, 泛娱乐产业解析（下）, 游戏原形设计和IP累积, 游戏概念大纲的产生过程
主角设计之一, 主角设计之二, 主角设计之三, 主角设计之, 主角设计之五, NPC与怪物设计之一, NPC与怪物设计之二, 怪物AI之一, 怪物AI之一, 怪物AI之三, 道具设计之一, 道具设计之二, 道具设计之三, 道具设计之四
战斗设计三原则, 镜头运用（上）, 镜头运用（下）, 战斗设计打击感, 战斗设计流畅性, 三种场地设计, 防御设计, 关卡设计概述, 关卡设计原则（上）, 关卡设计原则（中）, 关卡设计原则（下）, 镜头引导, 物品设置, 数据配置（上）, 数据配置（下）
游戏美术概述, 游戏美术职业划分, 游戏美术演进历程（上）, 游戏美术演进历程（下）, 游戏行业的颜值担当, 视觉创意的营养汲取, 游戏美术的岗位分工, 视觉设计的目标定位, 视觉设计人物角色篇, 视觉设计重度题材篇, 视觉设计案例分析之一, 总监的职责（之一）, 总监的职责（之二）, 新人入行说, 视觉设计案例分析之二
Course: Introducción al deep learning contemporáneo
Modules:
Bienvenida al curso, Introducción al Deep Learning, La neurona y la red neuronal, Estructura de una red neuronal, Funciones de perdida, Descenso del gradiente para redes neuronales, Retropropagación
Metodología de entrenamiento de una CNN para clasificación, Metodología de entrenamiento de una CNN para segmentación, Primeros problemas con información dependiente del tiempo, ¿Qué es una RNN?
Estructura de un transformer: Encoder-Decoder, Particularidades: Pre-entrenamiento y aprendizaje de transferencia, Estructura: Transformer Visual
Generador y discriminador en una GAN, Proceso de difusión de información, Proceso de reconstrucción de información, ¿Cómo se realizan los proyectos en CinfonIA?
Course: Teacher SEL: Programs, Possibilities, and Contexts
Modules:
Introduction to the Specialization, Teacher SEL: Programs, Possibilities, and Contexts, Intro video talk – Dan and Randy – What meditation/mindfulness provide:, "On the Benefits of Mindfulness Practice for Teachers" by Richard Davidson, "The Importance of Teacher Self Care" by Patricia Jennings
Module Introduction
Intro talk: Randy and Dan on the power of narrative and stories about teaching: in literature and in film.
Module Introduction, "On the Power of Convening" by Brenda Girton-Mitchell
Course: Azure Network Troubleshooting and Governance
Modules:
Troubleshooting Connectivity problems between Azure VMs, Troubleshooting Connectivity problems between two peered Vnets, Troubleshoot Issues with Public Providers DNS Records, Troubleshoot Domain Verification Issues, Troubleshoot Domain Delegation Issues, Troubleshoot Name Resolution Isues, Troubleshoot Latency issues within a Virtual Network, Troubleshoot ExpressRoute, Conclusion: Azure Network Troubleshooting
Introduction: Azure Network Security and Governance, RBAC for Azure Firewall, Azure Firewall Manager, Azure Policy, Azure Policy Demo, Conclusion: Azure Network Security and Governance
Introduction: Azure Network Migration and Hybrid Connectivity, Azure Migrate, Migration Strategy, Benefits of moving from on-prem to azure, Types of Cloud Migration, On-Prem to Azure Getting Ready for the Move, Azure VPN Gateway, Azure VPN Gateway Demo, Troubleshoot Hybrid VPN connection, Conclusion: Azure Network Migration and Hybrid Connectivity
Introduction: Azure Network Design and Planning, Azure Architecture, Azure Architecture Patterns Part 1, Azure Architecture Patterns Part 2, Azure Architecture Patterns Part 3, Best Practices for Azure Architecture, Capacity Best Practices, Plan for Traffic Inspection, Design Applications for Security, Checklist to Secure the Network of Workload, Security Design Considerations, Hub and Spoke Network Security Considerations, Introduction: Implementing high availability and disaster recovery in Azure networking, RTO and RPO, High availability and Disaster Recovery options, High availability and Disaster Recovery options for VM, Availability Sets Demo For HA, High availability and Disaster Recovery options for PAAS, Disaster Recovery using Azure DNS and Traffic Manager, Conclusion: Implementing high availability and disaster recovery in Azure networking, Course Conclusion: Azure Network Troubleshooting and Governance
Course: Fundamentos de Vendas e Marketing com o 10,000 Women da Goldman Sachs
Modules:
Boas-vindas, Identificando as ferramentas de marketing certas para o seu negócio, Introdução ao processo de vendas, Entendendo a função das ferramentas de Análise Digital
Course: Challenges of Leading Individuals in the Tech Industry
Modules:
An Introduction To Leading Individuals, Start At the Beginning: Get To Know Your Employees, Fear, It Seems, Is Part Of Every Organization, Why Do They Come To Work?
Employees Want To Be Part of a Culture That Is Positive, Supportive, Strengthening, and Compelling, Want Your Team To Share Their Best Ideas With You and the Rest Of the Team?  Be Transparent!, Employee: “Why Am I Here?”
Celebrate the Successful Accomplishment Of Small Steps On the Way To Achieving Our Larger Goal!, Wouldn’t You Like To Be Part Of a Team Where the Other Members Know and Respect You?, Why Give Up Part Of Your Leadership Position To Help Develop Others?
Welcome To the Most Powerful Leadership Tool You Have At Your Disposal!, Delegation and Empowerment: The Same or Different?, The End State For Leading Individuals: Accountability and Ownership
Course: Non-Equilibrium Applications of Statistical Thermodynamics
Modules:
A Molecular Picture of Dynamic Behavior, Simple Kinetic Theory of Dilute Gases, Transport Properties, The Boltzmann Equation and the Chapman- Enskog Solutions
Spectroscopy, Atomic and Molecular Transitions, The Radiative Transfer Equation and Absorption and Emission Spectroscopy, Laser Induced Fluorescence Spectroscopy, Rayleigh Scattering, Raman Scattering
Chemical Reactions, Rates and the Reaction Rate Constant, Simple Reaction Rate Constant Theory, Reacting Systems: Chain Reactions, Unimolecular Reactions, Hydrogen and Hydrocarbon Oxidation, Numerical Methods for Chemical Kinetics
Course: Ceramics and Composites
Modules:
Mini Course #4 Introduction Video
Glassy Ceramics, Part 1, Glassy Ceramics, Part 2
Ceramic Structure, Part 1, Ceramic Structure, Part 2, Ceramic Processing
Crystalline Ceramics, Part 1, Crystalline Ceramics, Part 2, Ceramic Processing, Ceramic Applications
Composites, Part 1, Composites, Part 2, Composites, Part 3, Composites, Part 4, Course Review
Course: Creative Writing: The Craft of Setting and Description
Modules:
Why Do We Write?, The Power of Persuasion, Moving Through Time and Space, Nothing Can Happen Nowhere, Shop Talk with Brando Skyhorse, Feedback Expectations for the Specialization, Assignment Overview: Slow-Motion Moment
What Is Significant Detail?, "Things That Suck", Shop Talk with Salvatore Scibona, Assignment Overview: Habitual Ritual
Three Phases of Research, Meditation Exercise, Shop Talk with Amy Bloom, Assignment Overview: Strange Lands
Looking at a Student Example, What Is Genre? (including Shop Talk with Amy Bloom on Noir Fiction), Visiting Writer: Historical Fiction with Valerie Martin, Assignment Overview: Primal Landscapes
Course: Rigid Body Dynamics
Modules:
Student version, Filled version, Student version, Filled version, Student version, Filled version, Student version, Filled version
Intro to dynamics, 1.1 Rotation, 1.2~3_part 1 Absolute and Relative Velocity
1.2~3_part 2 Angular Velocity of Rigid Body, 1.2~3_part 3 Angular Velocity of Rigid Body Examples
1.4 Relative Acceleration, 1.5 Motion Relative to Rotating Axis
2.1 Newton-Euler equation, 2.2 Translation, 2.3 Rotation
2.4_part1 T&R motion of disk type rigid body, 2.4_part2 T&R motion of rod type rigid body
2.5_part 1 Work and energy of disk type rigid body
2.5_part 2 Work and energy of rod type rigid body, (MEQ) Work and KE by integral, (MEQ) Work by internal force
2.6_part 1 Impulse and Momentum of disk type rigid body
2.6_part 2 Impulse and momentum of rod type rigid body, (MEQ) Asymmetric rigid body, (MEQ) Angular Momentum Formulation
3.1 3D Rotation, 3.2 3D Rotation
3.3 Kinematics of General 3D motion
3.4 part 1_Angular momentum in 3D
3.4_part 2 Equations of motion in 3D, 3.4_part 3 Work and Energy of rigid body in 3D
3.5_part 1 Gyroscopic motion, 3.5_part 2 Steady precession
Course: Transmission electron microscopy for materials science
Modules:
Welcome from the teacher, Introduction: the instrument - I. History and building blocks, Reminders! Ray Diagrams., Lens aberrations
The instrument - II: description of the 3 main blocks, Quiz-video: 3-lens condenser system, Bragg's Law, TEM in operation
3.1: 2-beam electron diffraction, Reciprocal lattice, Ewald sphere construction
Multiple beam scattering, Shape effects on reciprocal lattice, Deviation from Bragg scattering
Dynamical scattering, Addendum: Notations for dynamical scattering, Thickness fringes
Bend contours, Double diffraction
Introduction, Contrast Transfer Function, Weak phase object approximation
Phase Contrast Transfer Function, HRTEM, Conclusion
Course: Introduction to Finance: The Basics
Modules:
Welcome to Introduction to Finance: The Basics, Instructor Bio, Learn on Your Terms
1-1.1. Module 1 Overview, 1-2.1. Introduction of the Three Legal Forms to Organize Firms, 1-2.2. The Sole Proprietorship, 1-2.3. The Partnership, 1-2.4. The Corporation, 1-2.5. The Hybrid Form, 1-3.1. The Goal of Financial Management, 1-4.1. The Corporate Governance, 1-5.1. The Agency Problem, Module 1 Wrap Up
2-1.1. Module 2 Overview, 2-2.1. Financials, 2-3.1. Balance Sheet: Introduction, 2-3.2. Balance Sheet: Fiscal Year, 2-3.3. Balance Sheet: Other Topics, 2-4.1. Income Statement, 2-5.1. Statement of Cash Flow, Lesson 2-6.1. Module 2 Wrap Up
3-1.1. Module 3 Overview, 3-2.1. Standardized Statements, 3-3.1. Financial Ratios: Introduction, 3-3.2. Financial Ratios: Liquidity Ratios, 3-3.3. Financial Ratios: Leverage Ratios, 3-3.4. Financial Ratios: Turnover Ratios, 3-3.5. Financial Ratios: Profitability Ratios, 3-3.6. Financial Ratios: Market Value Ratios, 3-4.1. Financial Forecasting, Module 3 Wrap Up
4-1.1. Module 4 Overview, 4-2.1. Present Value and Future Value, 4-3.1. Net Present Value, 4-3.2. APR and EAR, 4-4.1. Perpetuity, 4-4.2. Annuity, 4-5.1. Module 4 Wrap Up
Course: Foundational Sustainability Skills & Competencies
Modules:
Course Learning Objectives, Accessing text-only transcripts and downloadable resources
Practice the Job: Introduction
Knowledge Check
Mid-course Assessment
Knowledge Check
Practice the Job: Introduction
Course: Cities are back in town : sociología urbana para un mundo globalizado
Modules:
Bienvenido al nuevo mundo urbano, Ciudades antiguas, Términos para calificar a las ciudades y al mundo urbano, Un mundo de ciudades o un mundo urbano generalizado, Definiciones, Modelos y sociología urbana
Introducción a la ciudad europea, Revolución municipal y la autonomía política frágil, El modelo weberiano de la "ciudad occidental", Modelo neoweberiano: la ciudad europea como un actor económico y político parte 1, Modelo neoweberiano: la ciudad europea como un actor económico y político parte 2, El estudio de caso sobre Los Ángeles
Se debe imponer una infraestructura europea universal o es necesario buscar alternativas?, Desigualdad, segregación y el orden político colonial parte 1, Desigualdad, segregación y el orden político colonial parte 2, Características de las ciudades coloniales, Legado de la colonización. ¿Ciudades poscoloniales? parte 1
Introducción: Proceso de urbanización industrial y cambios urbanos, Dos oleadas de industrialización, La creación de la ciudad industrial como una estructura social, Métodos y variables del modelo marxista de aglomeración industrial
Introducción: centros experimentales para la vida social moderna, Las capitales europeas de los grandes Estados-nación del siglo XIX se transforman en metrópolis, Metrópolis en el sur, La ecología humana de las ciudades y la llegada de la era de la sociología urbana, La competencia y el desarrollo de la metrópolis
Introducción: un mundo capitalista urbano globalizado, Globalización, Ciudades globales: ¿Grandes ciudades con funciones económicas avanzadas?, Conclusión - Ciudad global
La posmetrópolis y las críticas a los modelos, Ciudades conflictivas, ciudades disputadas, el rechazo al modernismo, al capitalismo y al estado, Más allá del modernismo, el viraje cultural de los estudios urbanos, La cultura y el entretenimiento están de vuelta, la ciudad de los visitantes
Ciudades inteligentes - Introducción – Parte 1, Ciudades inteligentes - Introducción – Parte 2, Mapas y redes – Parte 1, Mapas y redes – Parte 2, El modelo de ciudad inteligente – Parte 1, Ciudad sostenible
Course: Finanziamento, sviluppo ed evoluzione delle infrastrutture
Modules:
Benvenutə al corso!, Introduzione alla Week 1, I fabbisogni infrastrutturali al 2040 e trend attuali, Le due modalità di classificazione delle infrastrutture, Infrastrutture economiche e infrastrutture sociali: differenze e diverse modalità di finanziamento, Diverse combinazioni di rischio e rendimento: infrastrutture core, core-plus e value-added, La nuova tassonomia emergente sul fronte dell’attenzione ai temi ESG - Overview
Introduzione alla Week 2, Le infrastrutture sono essenziali per lo sviluppo armonioso e sostenibile di un paese: la necessità di mobilitare risorse finanziarie adeguate, Un mondo ideale: lo Stato è il fornitore di risorse per le infrastrutture, Gli attributi delle infrastrutture e gli investitori Greenfield e Brownfield, Evidenze emergenti dai sondaggi nel periodo post pandemico (resilienza degli investimenti in infrastrutture)
Introduzione alla Week 3, Quello che oggi è infrastruttura probabilmente non lo sarà più in futuro, Il settore energetico: trend emergenti, Agricoltura e Agritech, Space Economy, La nuova attenzione verso le tematiche ESG
Introduzione alla Week 4, Il finanziamento privato delle infrastrutture e la tecnica del project financing, Alcuni dati di riferimento, Project finance, una semplice definizione, Corporate finance VS Project finance, La bomba a tempo, I quattro contratti chiave di un'operazione di Project financing, Una mappa concettuale dei rischi, I rischi della fase di costruzione, I rischi della fase operativa, L'importanza della gestione dei rischi: alcuni esempi
Conclusioni
Course: More Introduction to Financial Accounting
Modules:
Introduction video, Video 5.1.1: Accounts Receivable, Video 5.1.2: Estimating Uncollectible Accounts, Video 5.2: Accounts Receivable Disclosure Example, Video 5.3.1: Inventory, Video 5.3.2: LIFO vs. FIFO, Video 5.4: Inventory Disclosure Example, Video 5.5: 3M Company: Accounts Receivable and Inventory
Video 6.1.1: Tangible Assets I, Video 6.1.2: Tangible Assets II, Video 6.2: Intangible Assets and Goodwill, Video 6.3: Long-lived Assets Disclosure Example, Video 6.4.1: Marketable Securities I, Video 6.4.2: Marketable Securities II, Video 6.5: Marketable Securities Disclosure Example, Video 6.6: 3M Company: Long-lived Assets & Marketable Securities
Video 7.1.1: Time Value of Money: Future Value, Video 7.1.2: Time Value of Money: Present Value, Video 7.1.3: Time Value of Money: Annuities, Video 7.2.1: Long-Term Debt and Bonds I, Video 7.2.2: Long-Term Debt and Bonds II, Video 7.3: Leases, Video 7.4: 3M Company: Long-Term Debt and Leases
Video 8.1: Income Taxes: Overview and Terminology, Video 8.2.1: Deferred Tax Liabilities, Video 8.2.2: Deferred Tax Assets and Tax Rate Changes, Video 8.3: Valuation Allowances and NOLs, Video 8.4: Income Tax Disclosure Example, Video 8.5: Taxes, SCF, and Marketable Securities, Video 8.6: 3M Company: Income Taxes
Video 9.1: Share Issuances and Repurchases, Video 9.2: Dividends, Splits, and AOCI, Video 9.3: Stock-based Compensation, Video 9.4: Earnings Per Share, Video 9.5.1: Contributed Capital Disclosure Example, Video 9.5.2: Stock-based Compensation Disclosure Example, Video 9.6: 3M Company: Shareholders' Equity
Video 10.1: FSA I: Business, Strategy, and Competitive Environment, Video 10.2: FSA II: Growth and Earnings Performance, Video 10.3: FSA III: Cash Flow and Ratios, Video 10.4: FSA IV: Investing and Financing Activities, Video 10.5: FSA V: Off-Balance Sheet Activities
Course: Learning Languages with AI
Modules:
Meet your instructor, What’s possible now with AI, Delegating communication tasks to an AI tools vs. language learning with an AI tool, A framework for telling your AI what you can do in your target language, Introduction to AI task: Your can-do communication goals
Breaking down one of your language learning goals: Exposure, study, practice, and reflection, Since language learning is social, where does AI come in?, Introduction to AI task: Get some exposure, Introduction to AI Task: Use your reflection to plan and do some AI-aided vocabulary studying, Introduction to AI task: Do some practice
The importance of supplying context, Video interview: How one data scientist uses generative AI in her academic writing process, Choosing among generative AI-equipped language learning apps, Introduction to using generative AI for language self-assessment
Nurturing your own voice in an additional language, Introduction to AI task: Identifying and diminishing bias, Part 1: Definitions of plagiarism, Part 2: Layers of culture and plagiarism, Part 3: Example plagiarism policies
The advantages of making a plan, Including IRL exposure, study, and practice in your plan, Using generative AI to brainstorm language learning activities, Farewell
Course: Gemini for end-to-end SDLC - Bahasa Indonesia
Modules:
Masa depan pengembangan software dengan Gemini
Course: Estratégia Digital e o Comportamento de Busca do Consumidor
Modules:
Introdução, Do Marketing Tradicional ao Marketing em Startups, Tomada de Decisão Baseada em Experimentos - Parte 1, Tomada de Decisão Baseada em Experimentos - Parte 2, Teste de Canais – Canais Físicos, Teste de Canais – Canais Digitais, Bullseye Framework, Bullseye Framework na Prática
Introdução, Métricas e KPIs, KPIs: CAC e LTV, Analytics e Dados de Performance, Sistemas de Performance - Parte 1, Sistemas de Performance - Parte 2, Integrando Performance e Vendas
Introdução, Inbound e Outbound Marketing: O Inbound, Inbound e Outbound Marketing: O Outbound, Marketing de Guerrilha, Marketing de Conteúdo, Primeiras Ações de Marketing
Introdução, Construindo a Marca junto ao Público, Criando Comunidades: Definições, Criando Comunidades: Ferramentas, Criando Produtos Junto à Comunidade - Parte 1, Criando Produtos Junto à Comunidade - Parte 2, Novas Funções e Carreiras
Course: Sustainable Fashion
Modules:
Is Sustainability a Unicorn?
More than Garments, A Sustainable Mess, Business Model Theory
A Forest of Options, Sustainable Business Model Theory, Interview: Elena Salcedo, IED Istituto Europeo di Design, Sourcing House, Sassy LAB
Circular Fashion, Circular Challenges, New Video, Brands Going Circular, Lease A Jeans, MUD Jeans
Sustainable materials, New materials and partnerships, Video 1, New Video, Interview: Ingun Klepp, Interview: ECOALF, Towards a sustainable clothing culture
Approaches to Sustainability, Sustainable Startups, Interview: Elisabeth Stray Pedersen - ESP, The Big Brands, Interview: BCome
Fashion Tensions, Lori Devito on Sustainable Partnerships, Sustainable Partnerships, Brands, You Have to Team Up!
Case Study
Course: Econometrics: Methods and Applications
Modules:
Welcome to our MOOC on Econometrics, About this course
Lecture 1.1 on Simple Regression: Motivation, Lecture 1.2 on Simple Regression: Representation, Lecture 1.3 on Simple Regression: Estimation, Lecture 1.4 on Simple Regression: Evaluation, Lecture 1.5 on Simple Regression: Application
Lecture 2.1 on Multiple Regression: Motivation, Lecture 2.2 on Multiple Regression: Representation, Lecture 2.3 on Multiple Regression: Estimation, Lecture 2.4.1 on Multiple Regression: Evaluation - Statistical Properties, Lecture 2.4.2 on Multiple Regression: Evaluation - Statistical Tests, Lecture 2.5 on Multiple Regression: Application
Lecture 3.1 on Model Specification: Motivation, Lecture 3.2 on Model Specification: Specification, Lecture 3.3 on Model Specification: Transformation, Lecture 3.4 on Model Specification: Evaluation, Lecture 3.5 on Model Specification: Application
Lecture 4.1 on Endogeneity: Motivation, Lecture 4.2 on Endogeneity: Consequences, Lecture 4.3 on Endogeneity: Estimation, Lecture 4.4 on Endogeneity: Testing, Lecture 4.5 on Endogeneity: Application
Lecture 5.1 on Binary Choice: Motivation, Lecture 5.2 on Binary Choice: Representation, Lecture 5.3 on Binary Choice: Estimation, Lecture 5.4 on Binary Choice: Evaluation, Lecture 5.5 on Binary Choice: Application
Lecture 6.1 on Time Series: Motivation, Lecture 6.2 on Time Series: Representation, Lecture 6.3 on Time Series: Specification and Estimation, Lecture 6.4 on Time Series: Evaluation and Illustration, Lecture 6.5 on Time Series: Application
Case Project
Lecture M.1: Introduction to Vectors and Matrices, Lecture M.2: Special Matrix Operations, Lecture M.3: Vectors and Differentiation, Lecture P.1: Random Variables, Lecture P.2: Probability Distributions, Lecture S.1: Parameter Estimation, Lecture S.2: Statistical Testing
Course: Cybersecurity Policy for Water and Electricity Infrastructures
Modules:
Course 2 Introduction, L11 Water Infrastructure, L12 NIST Cybersecurity Framework
L13 Applying NIST CSF (1), L14 Applying NIST CSF (2), L15 Applying NIST CSF (3)
L16 Electricity Infrastructure, L17 Electricity Subsector Cybersecurity Capability Maturity Model
L18 Applying ES-C2M2 (1), L19 Applying ES-C2M2 (2), L20 Applying ES-C2M2 (3)
Course: Probabilistic Graphical Models 3: Learning
Modules:
Learning: Overview
Regularization: The Problem of Overfitting, Regularization: Cost Function, Evaluating a Hypothesis, Model Selection and Train Validation Test Sets, Diagnosing Bias vs Variance, Regularization and Bias Variance
Maximum Likelihood Estimation, Maximum Likelihood Estimation for Bayesian Networks, Bayesian Estimation, Bayesian Prediction, Bayesian Estimation for Bayesian Networks
Maximum Likelihood for Log-Linear Models, Maximum Likelihood for Conditional Random Fields, MAP Estimation for MRFs and CRFs
Structure Learning Overview, Likelihood Scores, BIC and Asymptotic Consistency, Bayesian Scores, Learning Tree Structured Networks, Learning General Graphs: Heuristic Search, Learning General Graphs: Search and Decomposability
Learning With Incomplete Data - Overview, Expectation Maximization - Intro, Analysis of EM Algorithm, EM in Practice, Latent Variables
Summary: Learning
PGM Course Summary
Course: Inocuidad alimentaria: conoce las normas HACCP y BRC
Modules:
Normativas y definiciones, ¿Cómo crear los POE y POES?, ¿Cómo implementar el HACCP?, Certificación BRC
Course: The 360º Corporation: Tools for Achieving Corporate Purpose
Modules:
The 360º Corporation: Tools for Achieving Corporate Purpose, The shift to stakeholder capitalism, What is a stakeholder?, Don't use Milton Friedman as an excuse, The 4 modes of the 360º Corporation
What is a trade-off? (Clue: every business model has them), Inside-out techniques for understanding trade-offs, Outside-in techniques for understanding trade-offs, Shared value and the business case for social responsibility, Misuse of the business case for social responsibility
Innovating around trade-offs, Thriving within trade-offs, Experimentation: some case examples
360º Governance—a call to action for boards of directors, Impact of intensifed investor stewardship, 360º Leadership—what this means for you personally, From stakeholder trade-offs to transformation—creating the 360º Revolution
Course: Aligning Diet and Exercise
Modules:
Before You Start, Final Thoughts
Course: The Finance of Climate Change
Modules:
Welcome Video, The Financial View of Climate Risks, The Climate Finance Ecosystem, Climate reporting, Active ownership and climate-aware investors, Internal carbon pricing, Climate and Corporate Value
Green and sustainability bonds, Green bonds : Issuers and Investors, Green bonds: the issuance process, Green investment banks, Green investment banks' activities, International climate finance and impact funds
Financing the climate transition, Financing cleantech start-ups, Green project finance, Project finance : risk management, Green project finance : financial valuation, Debt sculpting in green project finance
Climate risks and banks, Climate risks and insurers, Climate  scenarios for financial institutions, Green monetary policies, Blended finance and SDG Investing, Climate off-setting markets
Course: Causal Inference
Modules:
Course Overview, Lesson 1: Causation, Lesson 2: Potential Outcome, Unit and Average Effects, Lesson 3: Ignorability: Bridging the Gap Between Randomized Experiments and Observational Studies
Lesson 1: Some Randomized Experiments, Lesson 2: Testing the Null Hypothesis of No Treatment Effect, Lesson 3: Randomization Inference
Lesson 1: Estimating the Finite Population Average Treatment Effect (FATE) and the Randomized Treatment Effect, Lesson 2: Estimating the ATE: A Regression Approach, Lesson 3: Estimating the ATE: Regression Analysis with Covariates
Lesson 1: The Propensity Score, Lesson 2: Estimating the ATE Using Sub-Classification on the Propensity Score, Lesson 3: Estimating the ATE Using Inverse Probability of Treatment Weighting
Lesson 1: Matching 1, Lesson 2: More on Matching-Bias and Standard Errors
Lesson 1: Regression Based Estimators and Double Robustness, Lesson 2: Machine Learning and Estimation of Treatment Effects, Lesson 3: The Unconfoundedness Assumption: Assessment and Sensitivity
Course: Становлення сучасної України
Modules:
Українські питання, викликані російським вторгненням, Народження націй, Географія та стародавня історія, Доєвропейська історія, Вікінги, работорговці, законодавці: Київська держава, Велике князівство Литовське, Становлення Московії, Євреї в період ранньої сучасної України (Гленн Діннер), Польське правління та козацьке повстання, Світові імперії, Відступ османів, російська влада, українське народництво, Габсбурзька династія, Республіки та революції, Українці в міжвоєнній Польщі, Українізація, голод, терор: 1920–1930-ті роки, Колонізація, винищення, етнічні чистки: 1940-ві роки, Реформи, рецентралізація, дисидентство: 1950–1970-ті роки, До та після кінця історії, Олігархії в Росії і Україні, Майдан і самоідентифікація (Марсі Шор), Російський імперіалізм у порівнянні (Арне Вестад), Українські ідеї у ХХІ столітті, Колоніалізм, постколоніалізм, глобалізм
Course: Cluster Analysis, Association Mining, and Model Evaluation
Modules:
Cluster Analysis and Segmentation, Supplemental Resources
Market Basket Analysis
Evaluating Model Performance
Regression-Type Prediction Models
Course: Data Visualization
Modules:
Welcome to Data Visualization, Meet Your Instructor, Module 1 Overview, Introduction to Data Visualization, Data Visualization techniques, Some examples of data visualization, Introduction to R, RStudio Panes, Data types in R, Data structures in R, Introduction to objects in R, Create objects/variables  in R, Create objects with different data structures  in R, Remove and save objects, A Simple Tutorial to Get You Started with R, Introduction to R Markdown file, The Structure of an R Markdown File, Create Your .Rmd File and Use Knitr to Convert .Rmd to .html or PDF, Format the text in R Markdown, Code Chunks-Hide code and information
Module 2 Overview, Introduction to data visualization, Introduction to the Grammar of Graphics, Marks and Channels, Color models, Exploratory Data Analysis (EDA), Some examples, Data Visualization Principles
Module 3 Overview, Introduction to ggplot2, Basic usage of ggplot() function, Colors in ggplot(), Introduction to Histogram, Bins in Histogram, Plot a Single Histogram, Grouped Histogram
Module 4 Overview, Save graphs as png and jpeg, Output graphs into a pdf file, Embed images in R Markdown files, Refer to images in R Markdown files, Create tables in R Markdown, Index tables in R Markdown files, About scatter plots and bubble plots, A scatter plot with ggplot2, A scatter plot with ggplot2
Module 5 Overview, Introduction to Boxplots, Basic Box plot in R, Boxplot in R_Change outline colors and fill colors, Arranging multiple plots on a page, Use facets in ggplot2, grid.arrange() function
Course: Poverty & Population: How Demographics Shape Policy
Modules:
Sequence Opening: Robertson & Social Policy, Sequence video: Why Social Policy - Alumni, Course Introduction, Demography, Age, Region, and Race, Households and Families, Income, Earnings, GDP, Wealth, Inflation, Unemployment, Minimum Wage, Module 1 Wrap Up
Introduction, Sorting, Hiring Practices, Women in the Labor Market, Race and the Labor Market, Mass Incarceration by Professor Garfinkel, Effects of Racism in the Labor Market, The Changing Family by Professor Mincy, Module 2 Wrap Up
Introduction, The Causes and Cures of Poverty, World Poverty, FPL: The Federal Poverty Line, Who is Poor?, Supplemental Measures of Poverty, Alternative Policy Measures by Dr. Wiemer, The Impacts of Social Policy on Poverty, Poverty Research by Professor Garfinkel, Module 3 Wrap Up
Introduction, The Debate, How Social Policy is Made by Professor Lenns, Levels and Branches, The Legislative Branch, The Executive Branch, The Judicial Branch, Regulations versus Laws by Professor Lenns, The Bill Development, The Bill: Legislature, The Signing of a Bill, The Bill Implementation, Module 4 Wrap Up, Policy Alternatives Overview Video
Course: Mechanics: Motion, Forces, Energy and Gravity, from Particles to Planets
Modules:
Course Welcome, Lesson 1.1: Introduction and Context, Lesson 1.2: Units and Significant Figures, Lesson 1.3: Vectors and Scalars, Lesson 1.4: Estimating
Lesson 2.1: Graphing Displacement and Velocity, Lesson 2.2: Acceleration, Lesson 2.3: Relating Velocity, Acceleration and Displacement, Lesson 2.4: Relative Motion
Lesson 3.1: Projectiles, Falling Vertically Under Gravity, Lesson 3.2: Combining Vertical and Horizontal Motion, Lesson 3.3: Trajectories and Range, Lesson 3.4: Uniform Circular Motion
Lesson 4.1: Newton's Laws of Motion, Lesson 4.2: Inertial and Non-inertial Frames, Lesson 4.3: Newton's Third Law, Lesson 4.4: Calculating Total Force, Lesson 4.5: Practice Problems, Historical Interlude, The Syllogism
Lesson 5.1: Weight versus Mass, Lesson 5.2: Springs and Hooke's Law, Lesson 5.3: Normal and Frictional Forces, Lesson 5.4: Friction Problems
Lesson 6.1: What is Work?, Lesson 6.2: Work and Kinetic Energy, Lesson 6.3: Work and Potential Energy, Lesson 6.4: Energy Conservation, Lesson 6.5: Energy, Work and Power
Lesson 7.1: Momentum and Collisions, Lesson 7.2: Impulse and More About Collisions, Lesson 7.3: Centre of Mass, Elastic and Inelastic Collisions, Lesson 7.4: Problems Involving Collisions
Lesson 8.1: Gravity, Orbits, Planets, Stars..., Lesson 8.2: g Varies with Latitude and Altitude; Gravitational Potential Energy, Lesson 8.3: Orbits, Lesson 8.4: Gravity and Other Forces, Another Historical Interlude
Course: AI for Grant Writing
Modules:
Course Intro Video
Prompt Engineering for Grant Writing, The Rhetorical Prompt Engineering Method, Four Qualifiers for Ethical Output, Scaling Rhet Shot and the Framework for Grant Writing, Helping AI Match the Goals of Your Grant Proposal, The Don'ts and Do's of Grant Writing, How to Prompt Engineer Your Grant Proposal From Scratch, How to Prompt Engineer to Improve an Existing Grant Proposal, Bringing It All Together
Course: Learning GitHub Actions for DevOps CI/CD
Modules:
Overview of GitHub Action Workflow, Exploring Workflow Components - Events, Exploring Workflow Components - Job, Step, and Runner, Running the Workflow and Reading the Logs
Environment Variables, Default GitHub Variables, GitHub Actions Store Your Secrets and Passwords Securely, GitHub_Artifacts, GitHub Environments | How to Add Manual Approvals, Sharing Values Between Steps and Jobs in a Workflow
What Is a GitHub Runner, Adding a Self-Hosted Runner, Running Jobs on Self-Hosted Runner
Understanding the Need of Infrastructure as Code, Developing IAC Template with Bicep to Deploy Infrastructure - Part 1, Developing IAC Template with Bicep to Deploy Infrastructure - Part 2, Setting Up Authentication, Developing GitHub Actions Workflow for Infra Deployment - Part 1, Developing GitHub Actions Workflow for Infra Deployment - Part 2
Continuous Integration, Continuous Deployment Workflow to Deploy to Azure App Service
Building Dockers with GitHub Actions, Deploying Dockers with GitHub Actions
Course: Principles of UX/UI Design
Modules:
Introduction to the principles of UX and UI design, A day in the life of a Meta product designer, Introduction to UX and UI, A day in the life of a Meta product manager, Final project overview, What is UX?, UX goals  + Quality components, Overview of the UX process, What is UI?, Getting started with Figma, Who is your user?, Empathy tools, Case Study: User research in the real world, Module summary: Introduction to UX and UI
Evaluating design, Case Study: Accessibility at Meta, Form design, Components in UI design, Little Lemon evaluation, Navigation best practices, Module summary: Evaluating interactive design
Frames, layers and basic shapes, Type and text, Grids and constraints, Manipulating elements, Working with images, Wireframing, Usability testing, Module summary: Applied design fundamentals
Make it beautiful, Stylize High-fidelity design, What are design systems?, Design systems in Figma, Moving from design to prototyping, Animate and test your prototype, Case Study: How Meta uses micro interactions, Module summary: Designing your UI
Course Recap for Principles of UX and UI, Congratulations, you have completed Principles of UX UI design
Course: Decision Making and Reinforcement Learning
Modules:
Introduction to Decision Making and Reinforcement Learning, Course Logistics, 1.1 Rational Agents and Utility Theory, 1.2 Preferences and Axioms of Utility Theory, 1.3 Uncertain and Multi-Attribute Utilities, 1.4 Value of Perfect Information
2.1 Multi-Armed Bandits and Action Values, 2.2 Ɛ-Greedy Action Selection, 2.3 Upper Confidence Bound
3.1 Markov Decision Process Framework, 3.2 Gridworld Example, 3.3 Rewards, Utilities, and Discounting, 3.4 Policies and Value Functions, 3.5 Example: Mini-Gridworld, 3.6 Bellman Optimality Equations
4.1 Time-Limited Values, 4.2 Value Iteration, 4.3 Value Iteration Implementation, 4.4 Policy Iteration, 4.5 Example: Mini-Gridworld, 4.6 Algorithm Complexity
5.1 Partial Observability and POMDP, 5.2 Belief States, 5.3 Belief Transition Model, 5.4 Policies and Value Functions, 5.5 Example: Mini-Gridworld
6.1 Monte Carlo Methods, 6.2 First-Visit MC Prediction, 6.3 State-Action Values, 6.4 Ɛ−Greedy On-Policy MC Control, 6.5 On and Off-Policy MC Control, 6.6 Example: Mini-Gridworld
7.1 Temporal Difference Learning, 7.2 Temporal Difference Prediction, 7.3 Batch Updating, 7.4 TD Learning for Control, 7.5 SARSA vs Q-Learning
8.1 𝑛-step Temporal Difference Prediction, 8.2 𝑛-step SARSA, 8.3 Model-Based Methods, 8.4 Function Approximation
Course: Plant Bioinformatics
Modules:
Introduction, Mini-lecture, Lab Discussion, Summary
Introduction, Mini-lecture, Lab Discussion, Summary
Introduction, Mini-lecture, Lab Discussion, Summary
Sectional Quiz 1
Introduction, Mini-lecture, Lab Discussion, Summary
Introduction, Mini-lecture, Lab Discussion, Summary
Introduction, Mini-lecture, Lab Discussion, Summary
Sectional Quiz 2, Final Assignment
Course: TensorFlow 2 시작하기
Modules:
과정 소개, 1주차에 오신 것을 환영합니다, 안녕하세요 TensorFlow입니다!, [코딩 튜토리얼] 안녕하세요 TensorFlow입니다!, TensorFlow 2의 새로운 기능, Laurence Moroney와의 인터뷰, Google Colab 소개, [코딩 튜토리얼] Google Colab 소개, TensorFlow 문서, TensorFlow 설치, [코딩 튜토리얼] pip 설치, [코딩 튜토리얼] Docker로 TensorFlow 실행하기, TensorFlow 1에서 업그레이드, [코딩 튜토리얼] TensorFlow 1에서 업그레이드
2주차에 오신 것을 환영합니다 - 순차 모델 API, Keras란?, 순차 모델 구축, [코딩 튜토리얼] 순차 모델 구축, 컨볼루션 및 풀링 레이어, [코딩 튜토리얼] 컨벌루션 및 풀링 레이어, 컴파일 방법, [코딩 튜토리얼] 컴파일 방법, 맞춤 방법, [코딩 튜토리얼] 맞춤 방법, 평가 및 예측 방법, [코딩 튜토리얼] 평가 및 예측 방법, 프로그래밍 과제 마무리 및 소개
3주차에 오신 것을 환영합니다 - 검증, 정규화 및 콜백, Andrew Ng와의 인터뷰, 검증 세트, [코딩 튜토리얼] 검증 세트, 모델 정규화, [코딩 튜토리얼] 모델 정규화, 콜백 소개, [코딩 튜토리얼] 콜백 소개, 조기 중지 및 인내, [코딩 튜토리얼] 조기 중지 및 인내, 프로그래밍 과제 마무리 및 소개
4주차에 오신 것을 환영합니다 - 모델 저장 및 로드, 모델 가중치 저장 및 로드, [코딩 튜토리얼] 모델 가중치 저장 및 로드, 모델 저장 기준, [코딩 튜토리얼] 모델 저장 기준, 전체 모델 저장, [코딩 튜토리얼] 전체 모델 저장, 사전 훈련된 Keras 모델 로드, [코딩 튜토리얼] 사전 훈련된 Keras 모델 로드, TensorFlow 허브 모듈, [코딩 튜토리얼] TensorFlow 허브 모듈, 프로그래밍 과제 마무리 및 소개
Capstone 프로젝트에 오신 것을 환영합니다, 종료 인사
Course: Design of Formwork System
Modules:
About the Specialization, About the Course, Basics of Formwork Design - Part 1, Basics of Formwork Design - Part 2, Design Loads - Part 1, Design Loads - Part 2, Pressures on Concrete, Design Methods - Part 1, Design Methods - Part 2, Features of Stripping a Formwork, Basic Design Assumptions - Part 1, Basic Design Assumptions - Part 2, Benefits of Formwork Design
Formwork Design Concepts, Basics of Slab Design - Part 1, Basics of Slab Design - Part 2, Basics of Slab Design - Part 3, Basics of Slab Design - Part 4, Basic Design Concept of Vertical Formwork, Methods in Design, Design of Wall Formwork - Part 1, Design of Wall Formwork - Part 2, Design of Wall Formwork - Part 3, Design of Wall Formwork - Part 4, Checks for Before and after Concreting
Importance of Formwork Drawings, Basic Requirements of Formwork Detailing, Preparation of Effective Drawings, Drawing Overview - Part 1, Drawing Overview - Part 2, General Layout and Detailed Drawings - Part 1, General Layout and Detailed Drawings - Part 2, General Layout and Detailed Drawings - Part 3, General Layout and Detailed Drawings - Part 4, BOQ Calculation using scheme Drawings - & Checklist of Drawings, BIM 3D Graphical Views of Formwork
Creating the Schedule of Formwork, Mobilisation Distribution and Requirement plan, Bill of quantities as per the formwork system, Sample Quantity Calculation Exercise, Overall Formwork Cost for the Project, Material cost - Part 1, Material cost - Part 2, Labor cost - Part 1, Labor cost - Part 2, Labor cost - Part 3, Plant & Machinery cost, Overhead and Profit cost, Formwork costing Calculation exercise - Part 1, Formwork costing Calculation exercise - Part 2, Formwork costing Calculation exercise - Part 3, Cost optimisation in formwork operations - Part 1, Cost optimisation in formwork operations - Part 2
Course: Introduction to Hardware and Operating Systems
Modules:
Course Introduction, Introduction to Computing Fundamentals, Common Computing Devices and Platforms, Understanding How Computers Talk, An Introduction to Operating Systems, Getting Started with Microsoft Windows, Using Your Windows Lab Workspace
Identifying Hardware Components and Peripherals, Input and Pointing Devices, Hard Drives, Optical Drives and External Storage, Display Devices, Printers and Scanners, Audio and Visual Devices
Identifying Ports and Connectors, Identifying Graphic Devices, Identifying Audio Connectors, Wired and Wireless Connections, Peripheral and Printer Connections, Installation Types
Internal Computer Components, Data Processing and Storage, Internal Storage, Display Cards and Sound Cards, Network Interface Cards, Cooling and Fans
Installing Microsoft Windows 10 Operating System, Microsoft Windows 10 Operating System Configuration, Microsoft Windows 10 Management and Performance, Managing File and Folders, Evaluating Computing Performance and Storage, Workstation Evaluation and Setup, Screen Capture and Tools, Introduction to Troubleshooting, Advanced Microsoft Windows 10 Management and Utilities, Introduction to Business Continuity Principles
Optional: IBM Technical Support Professional Certificate, Optional: Professional Certificate: Overview of Courses
Exploring Linux Operating System Essentials, Getting Started with macOS, Networking and Performance macOS Essentials, ChromeOS Operating System Essentials, Introduction to Mobile Devices: iOS, Introduction to Mobile Devices: Android
Course: Global Impact: Multiculturalism
Modules:
Meet Your Instructor: Maria Rodas, The Impact of the Gies Community, Multiculturalism Within and Outside the Person, Drivers of Culture Mixing, Types of Multiculturalism: Acculturation and Experience, The Identity Dynamics of Acculturation and its Consequences, Other Consequences of Multicultural Experiences, Responses to Culture Mixing in the Environment, Personal and Situational Drivers of Responses to Culture Mixing
Cultural Diversity in Developed Markets, The Hispanic-American Market, Other Racial Subcultures: Asian, Black, Multicultural Markets Outside the U.S., Other Subcultures: Generational, Sexual Orientations, Religion, Geographical
Marketing and Branding Strategies for Multicultural Consumers, Multicultural Marketing Strategies, Use of Bilingual Advertising, Paradox Brands as a Branding Strategy to Win with Multicultural Consumers
Multiculturalism and Creativity, Embracing and Leveraging Multicultural Identity, Developing Cultural Flexibility, Communication and Conflict Resolution in Multicultural Teams, Leading Multicultural Teams, Learn on Your Terms
Course: Qualitative and Quantitative Analysis of Disaster Risk
Modules:
1.2.2 Qualitative Risk Analysis: key Concepts, 1.2.7 Qualitative Analysis: Failure Mode Classification, 1.2.8 Qualitative Disaster Risk Analysis: Key Concepts, 1.3.1 Stakeholders Involved in the Qualitative Risk Analysis, 1.3.2 Choosing the Type of Analysis to Perform, 1.4.3 Case Study A: Flood Control Infrastructure in the Design Phase, 1.4.6 Case Study B: Transportation Infrastructure (Roads) in the Design Phase, 1.4.9 Case Study C: Infrastructure for Hydropower Dam in the Operation Phase
2.1.4 Calculating Risk - Part 1, 2.1.5 Calculating Risk - Part 2, 2.1.6 Architecture of a Generic Risk Model, 2.2.1 Risk Representation, 2.2.2 Risk Assessment, 2.2.4 Future Scenario Assessment