dipopotamus/custom_instruct_coursera_course_module_list huggingface dataset:
Course: El desarrollo de una startup
Modules:
Diferentes modelos de negocio, Lifetime value y las startups, Entendiendo distintos modelos de negocio
Course: Positive Psychiatry and Mental Health
Modules:
MOOC overview, Wellbeing, Positive mental health and Psychiatry, Stress, Recovery perspective, Tina's Story - Part 1, Positive Psychology, 8 Steps to Happiness
Exercise, BONUS: The benefits of pet ownership, Yoga and mental health, Sleeping well, Nutrition: Prevention, Relaxation, Mindfulness, Personality strengths, A strengths approach to community mental health
Attachment and mental health, Creative selves, Autonomy and connection, Families and carers, Aboriginal Australians: social and emotional wellbeing, Social and economic participation, The YES Project, Consumer communities, Work and mental health
Tina's Story - Part 2, Anxiety, Depression, Addictions, Trauma, Bipolar disorder, BONUS: Rob's story, Psychosis and Schizophrenia, Psychotherapies, Psychiatric medications
Resilience, Early intervention - Part 1, Early intervention - Part 2, Innovations in mental health, Creativity, Music therapy, Art therapy, Spirituality, Tina's Story - Part 3, Summary of MOOC
Course: Engineering Genetic Circuits: Abstraction Methods
Modules:
Overview, Irrelevant Node Elimination, Production-Passage-Time Approximation, Michaelis-Menten Equation, Enzymatic Approximation Transformation, Models for Repression and Activation, Operator Site Reduction Derivation, Operator Site Reduction Transformation, Statistical Thermodynamical Model Overview, Statistical Thermodynamical Model Example, Dimerization Reduction, Application to the Phage Lambda Model, Stoichiometry Amplification
Logical Encoding Overview, Hill Functions, Critical Thresholds, Intervals, and Regulatory Domains, Piecewise Linear Differential Equations Overview, Piecewise Linear Differential Equations Solutions, Black, White, and Transparent Boundaries, Labeled Hybrid Petri Nets, Stochastic Finite State Machines Overview, Reaction Splitization, Guarded Commands, Transition Rate Generation, Stochastic FSM Simulation
Markov Chains Introduction, Discrete-Time Markov Chains, Steady-State Distributions, Computing Steady-State Distributions: Direct Methods, Computing Steady-State Distributions: Iterative Methods, Continuous-Time Markov Chains, Embedded Markov Chain, Phage Lambda Example, Transient Solutions, Uniformization, Truncation Error, Transient Analysis Algorithm and Example
Overview of Abstraction Workflow, Genetic Toggle Switch Example, State-Based Abstraction, Transition Rate Calculations, Properties, Markov Chain Analysis, Examples, Qualitative Logical Models Overview
Genetic Circuit Failures, Automatic Model Generator, Function Hazards, Addressing Genetic Circuits Hazards, Continuous Stochastic Logic, Computational Prediction of Glitch Likelihood, Model Predictability, Laboratory Evaluation, Infinite-State Stochastic Model Checking, STAMINA Results
Course: Introduction to Computer Security
Modules:
Introduction to computer security, Computers, data and programs, An introduction to the operating system, The stream cipher, Week 1 summary
Week 2 introduction, Introduction to layered models of computer systems, Extending our layered model of computer systems, Personal computer systems architecture, Computer input/output, Operating systems security, Week 2 summary
Week 3 introduction, An introduction to authentication, Authorisation, Computer systems control, Accounting, Week 3 summary
Week 4 introduction, Computer networks and security, Networks and network equipment, Network security - Threats and vulnerabilities, Network security devices, The DMZ and network zones, Network authentication protocols, Computer systems security – threats and vulnerabilities, Course review and where next
Course: Architecting with Google Kubernetes Engine: Production 日本語版
Modules:
コースの概要, Google Cloud Platform と Qwiklabs のスタートガイド
概要, 認証と認可, Cloud IAM, IAM ロールのタイプ, Kubernetes RBAC, ロールの割り当て, Kubernetes コントロール プレーンのセキュリティ, Pod のセキュリティ, Pod セキュリティ ポリシーの適用, ラボの概要, Getting Started with Google Cloud Platform and Qwiklabs, ラボの概要, まとめ
概要, Google Cloud のオペレーション スイート, ロギングの基本, Kubernetes でのロギング, モニタリング, ラボの概要, プローブ, ラボの概要, まとめ
概要, Google Cloud サービスの利用, API の使用, Cloud Storage の使用, Google Cloud データベースの使用, Bigtable, Firestore, Cloud SQL, Cloud Spanner, BigQuery, ラボの概要, デシジョン ツリー, まとめ
概要, CI / CD パイプラインの概要, CI / CD の各段階, CI / CD ツールの例, ラボの概要, ラボでのソリューション, パイプラインの例, CI / CD アーキテクチャの例, まとめ
Course: Finance of Mergers and Acquisitions: Valuation and Pricing
Modules:
Course Introduction, Meet Professor Almeida, Learn on Your Terms, Module 1 Objectives and Overview, Good Reasons to Engage in M&A Transactions, Bad Reasons to Engage in M&A Transactions, Private Equity LBOs and Other Restructuring Tools, Friendly vs. Hostile Deals, and M&A Regulation, A Brief History of M&A, Does M&A Create Value?, Module 1 Review
Module 2 Objectives and Overview, Forecasting Profits and Investments, Free Cash Flows, Using Returns to Measure Risk, The Capital Asset Pricing Model (CAPM), The Weighted Average Cost of Capital (WACC), Improving Your Estimate of the Expected Return on Debt, Improving Your Estimate of the Expected Return on Equity, Computing Enterprise Value and Stock Prices, Using Comparables for Valuation, Sensitivity Analysis, Module 2 Review
Module 3 Objectives and Overview, The Role of Target Valuation, Private Targets: Valuation Issues, Private Targets: Pricing Issues, Transaction Multiples, The Role of Acquirer Valuation, Module 3 Review
Module 4 Objectives and Overview, Synergy Valuation: Management Perspective, Synergy Valuation: The Market's View, The Chance of Deal Failure and Merger Arbitrage, Additional Examples: When Markets and Managers Disagree, Bidder Strategies, Target Strategies, Do Takeover Defenses Create or Destroy Value?, Examples of Hostile Deals, Module 4 Review, Honors Assignment Details and Sample Solution
Course Conclusion
Course: Intel® Network Academy - Network Transformation 102
Modules:
VNF Operations  - Introduction, Server Ingredients, Virtualization Concepts, Virtualization Concepts (Cont.), Kernel Virtual Module (KVM*), Cloud Models, OpenStack, Virtual Infrastructure Manager (VIM), OpenStack as the Platform, Components and Scenarios, OpenStack Performance Options, Features, Network Service Example, A Drastic Change in Application Patterns, The Technology Behind the Scene, Intel® Clear Containers, Containers and Virtual Machines, Container Benefits, Introduction to Linux Containers, Container Core Elements and an Example, Container Cloud Environment and the Container Ecosystem, Public Cloud Container Infrastructure, Other Noteworthy Projects, DevOps and Microservices, Industry Standardization Efforts, Key Points, Containers Networking –  Technology Overview, Other Container Challenges
VNF Development - Introduction, DPDK Fundamentals, DPDK Open Source, DPDK Vendor Support, What is FD.io?, FD.io: Scalable Network Stacks, FD.io: Open Benchmarking, FD.io: Adoption, Everyday Cryptography, History, Ciphers, Encryption, Hashing and Message Authentication, Public Key Cryptography, Impact, What is Hyperscan?, Why Hyperscan?, Operations, Summary
Intel Network Functions Virtualization (NFV) Hardware Ingredients - Introduction, Infrastructure Requirements, Intel Ingredients for Workload Optimization, Intel Solutions for Workload Optimization, Enhanced Platform Awareness, Summary, Networking in a Virtual Server Overview, Introduction to Single Root I/O Virtualization (SR-IOV), Under the Hood of SR-IOV on the Intel® Ethernet Controller XL710, Use Cases Examples, Summary, Overview, Intel QuickAssist Technology Solutions and Options, Intel QuickAssist Technology Key Protection technology (KPT), Performance
Course Conclusion, Thank You
Course: Deep Time: Discovering an Ancient Earth
Modules:
Course Introduction, What is Science?, One of the Big Questions - How Old?, Birth of a Science  - The Beginnings of Geology, Discovering Deep Time, Putting Numbers on Deep Time
Origins - From Star Stuff to Planets, The Early Earth - First Oceans, Atmosphere, and Life, The Early Earth - Formation of Continents and Plate Tectonics, Building North America, Probing the Deep Crust in the Rocky Mountains
Reading Rock Layers - A Primer on Rocks and the Rock Cycle, Brave New World - Precambrian Ends and Modern Earth Begins, The Great Unconformity And Phanerozoic Seas, Field Trip to Flagstaff Mountain: Uplifted Roots of the Rockies and the Great Unconformity, Pangea Forms and the Ancestral Rocky Mountains Rise, Field Trip to Flagstaff Mountain: The Fountain Formation and the Ancestral Rockies
Field Trip to Flagstaff Mountain: Laramide Orogeny and the Tilting of the Flatirons, "How Many Years Must a Mountain Exist" - The Wash of Mesozoic Seas, Rocks, and Fossils, The Rise of the Modern Rockies, Cenozoic Extension, Uplift, and the Final Touches, Opportunity & Responsibility: The Price of Science
Course: Les bases du financement avec Goldman Sachs 10,000 Women
Modules:
Bienvenue, Expériences de financement d’anciennes participantes, Penser aux acquisitions, Comment les finances peuvent-elles soutenir les innovations commerciales ?, Pourquoi les profils financiers sont-ils importants ?, Types de financement
Course: La formación del pensamiento crítico en la era digital
Modules:
Presentación del curso
Presentación de la semana, Introducción: Literacidad crítica para la formación del pensamiento crítico y la acción social, La literacidad crítica desde los estudios sociales críticos, Las dimensiones de la literacidad crítica, Investigar la formación en Literacidad Crítica Digital, La literacidad crítica en la práctica educativa, Síntesis de la semana
Presentación de la semana, Introducción: críticas al concepto de ciudadanía en un contexto de interdependencia, El humanismo radical en un mundo pequeño y el concepto de ciudadanía global crítica, La educación para la ciudadanía global crítica desde los estudios sociales, Investigar la formación para la ciudadanía global, Educación para la ciudadanía global en la práctica educativa, Síntesis de la semana
Presentación de la semana, Introducción: Humanizar la enseñanza de las ciencias sociales, Personas, identidades y culturas invisibles en los estudios sociales, Relatos de invisibilidad de mujeres, niños y niñas, ancianos, homosexuales, …, Investigar la invisibilidad de personas en la enseñanza de las ciencias sociales, La práctica educativa para visibilizar a las personas y grupos, Síntesis de la semana
Presentación de la semana, Introducción: ¿Qué es el discurso del odio?, El movimiento No Hate Speech de la Comisión Europea, Una propuesta para trabajar con el discurso del odio en los estudios sociales, Investigar el proceso educativo de construcción de contra-relatos del odio, Los contra-relatos del odio en la práctica educativa, Síntesis de la semana
Presentación de la semana, Introducción: la importancia del trabajo con problemas sociales y conflictos en la educación democrática, Problematizar el conocimiento o trabajar con problemas sociales actuales, Los Problemas Sociales Relevantes y las Cuestiones Socialmente Vivas, Investigar con temas controvertidos en los estudios sociales, Interpretar problemas y conflictos contemporáneos en la práctica educativa, Síntesis de la semana, Conclusión del curso
Course: Moneyball and Beyond
Modules:
Introduction to Moneyball, Reproducing Table 1 of Hakes and Sauer - Part 1, Reproducing Table 1 of Hakes and Sauer - Part 2, Reproducing Table 1 of Hakes and Sauer- Part 3, Reproducing Table 1 of Hakes and Sauer - Part 4
Reproducing Table 3 of Hakes and Sauer- Part 1, Reproducing Table 3 of Hakes and Sauer- Part 2, Reproducing Table 3 of Hakes and Sauer- Part 3, Reproducing Table 3 of Hakes and Sauer- Part 4, Reproducing Table 3 of Hakes and Sauer- Part 5, Reproducing Table 3 of Hakes and Sauer- Part 6
Moneyball update Part 1, Moneyball update Part 2, Moneyball Update Part 3, Moneyball Update Part 4, Moneyball Update Part 5, Moneyball Update Part 6
Beyond Moneyball: Run expectancy Part 1, Beyond Moneyball: Run Expectancy Part 2, Beyond Moneyball: Run expectancy Part 3, Beyond Moneyball: Run expectancy Part 4
Beyond Moneyball: Run values and WAR Part 1, Beyond Moneyball: Run values and WAR Part 2, Beyond Moneyball: Run values and WAR Part 3, Beyond Moneyball: Run values and WAR Part 4
Course: Introduction to Privacy - Part 3
Modules:
Appropriate Security, Security Breaches and Notifications, ISO Standards
Incident Detection, Incident Assessment, Incident Response, Learning From Incidents
Performance Measurement, Continual Improvement, Auditing Data Protection
Course: Applying Participatory Approaches in Public Health Settings
Modules:
Views on Participatory Approaches to Public Health, Applying Participatory Approaches in Public Health Practices, Defining the Problem Using Participation: Involving Women in a Pregnancy Vaccination Project
Introduction to Stakeholders and Actors, Interview With the Centre for Seldom Heard Voices
Human Centred Design, Creative and Arts-based Participatory Approaches, Exploring Participatory Evaluation: Cameroon
Health Education England Video on Health Protection, Community Sensitisation, How Can Young People Contribute to Public Health Knowledge?
Challenges of Participatory Approaches, Challenges of Co-production: 'Hearing Birdsong' Project
Course: Fundamentals of Business Problem Solving
Modules:
Introduction to the Specialization: Business Problem Solving, Introduction to Fundamentals of Business Problem Solving, Introduction to the Instructor, Introduction to Modeling, Modeling 101, Vital Spreadsheet Techniques for Modeling, Introduction to Solver, Installing Solver, Using Solver
Analyzing a Business Problem, Walkthrough: Analyzing Ike's Guitar Shop, Walkthrough: Analyzing Property Development, Analyzing a Business Problem II, Walkthrough: Analyzing Geneva's Hair Emporium
Understanding Profit Model, Additional Modeling Tools, Walkthrough: Brian's Barbershop, Dante's Canes Walkthrough, Understanding the Product Mix Model, Walkthrough: Forrest Pizzeria, Walkthrough: Geneva's Mom's Hair Emporium
Using Solver to Optimizer a Model, Optimizing Brian's Barbershop, Optimizing Dante's Canes, Using Solver for Product Mix Models, Optimizing Forrest Pizzeria, Optimizing Geneva's Mom's Hair Emporium
Course: Front-End Developer Capstone
Modules:
Introduction to the course, Setting up the project, Planning the UX and UI, Module summary: Starting the project
Setting up a semantic HTML document, Styling elements, Project components, Module summary: Project foundations
Customer table bookings, Querying a table booking API, The importance of UX, Module summary: Project functionality
Course recap: Capstone Project, Congratulations, you have completed the Capstone Project!
Course: Career Self-Management Advanced Certification
Modules:
Welcome: Why an annual retreat?, Keynote speaker: Phylise Banner, Union Graduate College, Career brand management as a skill: Connecting the dots (pdf attached), Conducting a thorough career investigation: How to
Self-management information system: A review, Making peer review assessment work, Creating a mind-blowing digital artifact: How to
Self-coaching toolbox: A review, Making self-strategy work, Developing a breath-taking promotional strategy: How to, The secrets of using social media for self-marketing: A bonus interview with Dr. Alfreda James of SUNY Stony Brook
Reviewing the retreat, So what? How to reflect, What's next: Planning a field experience (pdf attached), How to contribute
Course: Core Java - Design Patterns
Modules:
Introduction to Design Patterns, Types of Design Patterns, Creational Patterns, Factory Method Pattern, DEMO: Creating Family of Objects Using Factory Design Pattern, Singleton Design Pattern, Builder Pattern, Structural Pattern, Adapter Pattern, Bridge Pattern, Facade Pattern, Flyweight Design Pattern, Behavioral Design Pattern, DEMO: Loan Approval Process Using Behavioral Design Pattern, Chain of Responsibility Pattern, Command Design Pattern, Interpreter Design Pattern, Iterator Design Pattern, Mediator Design Pattern, Memento Design Pattern, NULL Object Design, Observer Design Pattern, State Design Pattern, DEMO: State Design Pattern, Strategy Design Pattern, Template Method Design Pattern, Visitor Design Pattern, JEE or J2EE Design Patterns
Course: Linear Regression Modeling for Health Data
Modules:
Data Science for Health Research: Specialization Introduction, What is a Statistical Model? (Part 1), What is a Statistical Model ? (Part 2), Sampling: Accuracy Versus Precision, Confidence Intervals, Hypothesis Testing, Recap, What is a t-test Trying to Mimic?, Guided Practice: t-test part 1, Guided Practice: t-test Part 2, The t-test is a Regression Model
Going Beyond the t-test, Confounding, Correlation, The Connection Between Correlation and Simple Linear Regression, Simple Linear Regression: The Main Idea, Guided Practice: Linear Regression, SLR: Estimation and Residuals, SLR: Prediction and Interpretation, Guided Practice: The lm() Function, Guided Practice: The summary() Function, Guided Practice: Pointing Back to the t-test, Simple Linear Regression: an Example, SLR with Binary Predictors is a t-test
Introduction to Multiple Linear Regression or Regression with Multiple Predictors, Multiple Regression: The Basic Setup, Multiple Regression: Interpreting Coefficients, Guided Practice: How to Fit an MLR, Multiple Regression: Prediction Intervals Versus Confidence Intervals, Multiple Regression: Choosing From Among Variables, Using Multiple Regression to Answer Different Types of Questions, Evaluating Regression Models: MSE, Mallows Cp, and PRESS
Course: Open Source Programming - Master's
Modules:
Instructor Welcome and Course Overview, Instructor Introduction, Module 1 Introduction, IPO Intro Ch. 2.1-2.3, Comments, Variables, Data Conversions 2.4-2.6 - Part 1, Comments, Variables, Data Conversions 2.4-2.6 - Part 2, Calculations, More on Data Output and Constants Ch. 2.7-2.9 - Part 1, Calculations, More on Data Output and Constants Ch. 2.7-2.9 - Part 2
Module 2 Introduction, If Else Statements Ch. 3.2, String Comparisons Ch. 3.3, Nested ifs, Logical Operators/Boolean Logic Ch. 3.4-3.6 - Part 1, Nested ifs, Logical Operators/Boolean Logic Ch. 3.4-3.6 - Part 2
Module 3 Introduction, While and For Loop Structures Ch. 4.2-4.3, Running Totals and Sentinel Values Ch. 4.4-4.5, Input Validation and Nested Loops Ch. 4.6-4.7
Module 4 Introduction, Defining Functions Ch. 5.2-5.4, Passing Arguments and Value Returning Functions Ch. 5.5-5.8 - Part 1, Passing Arguments and Value Returning Functions Ch. 5.5-5.8 - Part 2, Modules Ch. 5.9-5.10 - Part 1, Modules Ch. 5.9-5.10 - Part 2
Module 5 Introduction - Part 1, Module 5 Introduction - Part 2, Loops, Records, and Exceptions Ch. 6.2-6.4 - Part 1, Loops, Records, and Exceptions Ch. 6.2-6.4 - Part 2, Lists Ch. 7.1-7.2, List Slicing Ch. 7.3-7.4, List Functions, Two-Dim. Lists, Tuples Ch. 7.5-7.9 - Part 1, List Functions, Two-Dim. Lists, Tuples Ch. 7.5-7.9 - Part 2
Module 6 Introduction - Part 1, Module 6 Introduction - Part 2, Dictionaries Ch. 9.1 - Part 1, Dictionaries Ch. 9.1 - Part 2, Sets Ch. 9.2, Serialization Ch. 9.3
Module 7 Introduction, Classes Ch. 10.2-10.4, Intro to Inheritance Ch. 11.1, Polymorphism Ch. 11.2
Module 8 Introduction, Widgets Ch. 13.3-13.8 - Part 1, Widgets Ch. 13.3-13.8 - Part 2, Databases - Making the Connection!, Database Programming (Queries) | Python Docs Sqlite3 Ref. (API 2.0) - Part 1, Database Programming (Queries) | Python Docs Sqlite3 Ref. (API 2.0)  (Part 2), Database Programming in Action, Course Supplementals: Web Scraping, Course Supplementals: Test Driven Development (TDD)
Summative Course Assessment
Course: Introduction to Data Analytics for Accounting Professionals
Modules:
Introduction to data analytics, Digital mindset, Analytical and data-driven mindset, Framing the problem, Common types of data analytics projects, Evaluating organizational capabilities, Requirements, deliverables, and additional factors
Understanding data and the 6 Vs, Data quality, reliability, and cleansing, Feature engineering, Qualitative and quantitative data, Structured and unstructured data - Part 1, Structured and unstructured data - Part 2
Data analytics and data science, Modeling and four types of data analytics projects, Tools for data management, Data life cycle and visualization, Data governance, security, and privacy, Course conclusion
Course: The Age of Sustainable Development
Modules:
Suggested Readings for The Age of Sustainable Development, Syllabus, Course Overview
Intro to Sustainable Development, Economic Growth and Progress, Continuing Poverty, Environmental Threats, Paths
Incomes Around the World, Urban/Rural Inequality, Income Inequality Within Countries, Measuring Wellbeing, Convergence or Divergence?
Economic Development is New, The Industrial Revolution Starts in England, The Great Waves of Technological Change, The Diffusion of Economic Growth, Economic Development Since World War II
The Idea of Clinical Economics, The Role of Physical Geography: Transport, Energy, Disease, and Crops, The Role of Culture: Demography, Education, Gender, The Role of Politics, Which Countries are Still Stuck in Poverty?
The Reasons to Believe that Extreme Poverty Can Be Ended, A Strategy to End Extreme Poverty in Africa, South Asia: The Continuing Challenge of the Food Supply, A Closer Look at Official Development Assistance, Designing Practical Interventions: The Case of Millennium Villages
The Planetary Boundaries, Growth Dynamics, Growth and Planetary Boundaries: The Case of Energy (22:04), Growth and Planetary Boundaries: The Case of Food (20:06), Growth and Planetary Boundaries: The Case of Population (21:31)
The Ethics of Wealth, Poverty, and Inequality, Major UN Covenants and Declarations, Divided societies, Forces of Widening Inequalities, Gender Inequality and Solutions
Life-cycle Approach to Human Development, Early Childhood Development, The Rising Returns to Education and the Supply Response, Social Mobility, The Role of Higher Education in Sustainable Development
The Human Right to Health, Poverty and Disease, Designing and Financing a Primary Health System in Low-Income Settings, Ten Recommended Steps to Health for All in the Poorest Countries, The Challenges of Health Coverage in High-Income Countries
Malnutrition, Farm Systems, Ecology, and Food Security, How Environmental Change Threatens the Food System, How the Food System Threatens the Environment, Towards a sustainable global food supply
The patterns of urbanization around the world, What makes a city sustainable?, Smart Infrastructure, Urban Resilience, Planning for Sustainable Development
The Basic Science of Climate Change, Consequences, Mitigation, Mitigation Policies, Policies and Global Cooperation for Climate Change
What is Biodiversity?, Biodiversity Under Threat, Oceans and Fisheries, Deforestation, International Dynamics
The proposal for SDGs at Rio+20, Goal Based Development, Financing for Sustainable Development, Principles of Good Governance, Feasibility of Sustainable Development
Course: Growing Team Members
Modules:
Intro to Leading StandOut Teams: Course 8, Everybody's a Never-Ever, Assessing and Trees, Appetite Drives Ability, Up the Ante
What New Opportunities Are Coming?, Behind Every Complaint Is a Commitment, What's Their Oscar Opportunity?, How Are We Going to Get This Done Together?
Next Step Support System, You Don't Have to Take Them out of the Work, Forget Your Title, Green Thumb, Congratulations, You Did It!
Course: Operationalizing LLMs on Azure
Modules:
Meet your instructor: Alfredo Deza, About this course, Introduction, Introduction to the Azure Portal, Using Microsoft Learn, Identifying the Azure AI solutions, Introduction to Azure Machine Learning, Introduction to Azure Open AI Service, Summary, Introduction, What are LLMs and how do they work?, Benefits and risks of using LLMs, Mitigating risks of LLMs, Introduction to LLMOps, Summary, Introduction, Discover and evaluate LLMs in Azure, Deployment options for inferencing, What is the Azure AI Content Safety feature?, Azure Machine Learning and Azure Open AI Service differences, Summary
Introduction, GPU quotas and availability, Creating a compute resource, Deploying the model, Using the inference API, Summary, Introduction, Getting access to Azure OpenAI Service, Creating an Azure OpenAI Service resource, Deploy an OpenAI model, Using the playground, Summary, Introduction, Using keys and endpoints, Creating a simple Python example, Reviewing usage and quotas, Cleaning up resources, Summary
Introduction, What is Semantic Kernel?, Using Semantic Kernel with Azure, Using a system prompt, Advanced system prompts, Summary, Introduction, Overview of functions, Defining functions, Using the function with the LLM, Working with errors, Summary, Introduction, Creating a glue function, Consuming function arguments, Using a native function, Overview of a microservice for functions, Using an external microservice API, Summary
Introduction, Architectural overview, What is RAG, Overview of Azure AI Search, Automation and deployment with GitHub, Summary, Introduction, Create the Azure resources, Create the embeddings, Create and upload the index, Verifying the embeddings, Using RAG with Azure OpenAI, Summary, Introduction, Application overview, Setting up Azure components, Architectural overview, Using GitHub Actions with Azure, Verifying and troubleshooting deployments, Summary
Course: ¿Cómo viajamos por la ciudad? Asignación y equilibrio en redes de transporte.
Modules:
¡Bienvenidos!, 1. Estructura del curso y contenidos, 2. Diagrama TAF, 3. Modelación y predicción de flujos, 4. Congestión y funciones de costo, 5. Interacciones entre usuarios, 6. Asignación y equilibrio de tráfico, 7. El modelo de cuatro etapas, 8. Equilibrio de mercado
1. Grafos, 2. Rutas, 3. Conectividad, 4. Árboles, 5. Asignación y rutas mínimas., 6. El algoritmo de Dijkstra., 7. Ejemplo de asignación.
1. El problema de asignación estándar, 2. Condiciones de equilibrio de Wardrop., 3. Ejemplo 1 Una red sencilla, 4. Ejemplo 2 la paradoja de Braess., 5. Ejemplo 3 una red intermedia, 6. Problemas equivalentes, 7. La transformada de Beckmann, 8. Ejemplo de transformada de Beckmann
1. Modelos de comportamiento: motivación, 2. Itinerarios mínimos de transporte público, 3. El problema de las líneas comunes, 4. Rutas mínimas de transporte público, 5. Estrategias mínimas de transporte público, 6. Equilibrio en transporte público con congestión.
1. Transformación a un problema de asignación estándar, 2. Ejemplo de equilibrio con funciones de demanda diagonales, 3. Problema equivalente para demanda diagonal, 4. Ejemplo de asignación y partición modal, 5. Ejemplo de asignación y distribución
Course: Fundamentals of financial and management accounting
Modules:
What is a company: shareholders and stakeholders, NPV Calculation, What is accounting, Introduction to financial accounting, Accrual and cash principles
Balance sheet: general overview, Non current assets and depreciation, Example on recognition of non current assets, Inventories, Equity and liabilities, Income statement: general overview, The impact of inventories on profit, Solution to the inventories exercise, Cash flow statement
What are costs, Costs classification, Costs configuration: direct vs full costs, Cost tracing vs cost allocation, JOC, Solution to the JOC exercise, ABC, Solution to the ABC exercise
What is an investment decision, Steps to investment appraisal, NPV method: general formula, NPV calculation: taxes, NPV calculation: external financing, Solution to the Investment appraisal exercise
What are short-term decisions, Evaluating short-term decisions, Solution to the Contribution Margin exercise, Break even point, Solution to the Break Even Point exercise, Production mix, Solution to the Production Mix exercise, Evaluating alternatives, Solution to the alternatives evaluation exercise
Course: 핀테크 법률 및 정책
Modules:
강좌 소개, 핀테크란 무엇일까요?
핀테크가 규제를 이해하지 못할 경우 발생할 수 있는 부정적 결과 설명하기, 미국의 핀테크 기업이 직면한 규제의 문제, 핀테크의 발전 및 투자 동향, 핀테크가 규제 기관에 미치는 영향, 규제 샌드박스
암호화폐 설명, 암호화폐를 돈으로써 규제하기, 암호화폐를 상품으로써 규제하기, 암호화폐를 재산으로써 규제하기, 암호화폐 공모 설명, 암호화폐 공모 규제
핀테크 신용 설명, 미국 및 글로벌 지형, 규제 및 법률상 고려 사항, 일반적인 대출 모델, 핀테크 신용의 취약성, 법률상 추가 고려 사항
은행 개설 및 규제, 특수 목적 핀테크 인가서, 산업 대출 기업
전통적인 결제 시스템 소개, 카드 기반 결제 및 은행 간 송금, 모바일 결제 기술의 발전, 탈중앙화된 결제, 미국 내 신속한 결제 시스템 도입을 위한 노력, 핀테크 자산 관리, 금융 계좌 집계소
Course: Advanced Armv8-M Features
Modules:
Course introduction
Introduction, The Exclusive Monitor, Examples of lock(), unlock() and Multi-thread Mutex, Non-coherent Multiprocessor - Part 1, Non-coherent Multiprocessor - Part 2, Examples of Multiprocessor Mutex, Memory Ordering
What is a Cache?, How is a Cache Accessed?, How is a Cache Populated?, Direct Mapped Cache, Set Associative Cache, Cache Terminology, Cortex-M7 and Cortex-M55 Caches, Level 2 Caches, Data Cache Policies, caching and memory attributes - Part 1, Data Cache Policies, Caching and Memory Attributes - Part 2, Cache Coherency & L1 Memory System Buffers, Point of Coherency and Point of Unification, Cache Maintenance Operations, Initializing and Enabling L1 Caches, Cache Discovery Code, What Should I Cache?, Non-deterministic Cache Behavior, Cache Optimizations, Error Correcting Code for Caches
DSP overview - Part 1, DSP overview - Part 2, DSP Extension instruction set - Part 1, DSP Extension instruction set - Part 2, DSP tools and library support
Floating-point Extension Overview, Data-processing Floating-point Registers, Floating-point Status and Control Register, Floating-point Default Status Control Register &Floating-point Context Control R, Enabling the FPU, Floating-point Instructions, Floating-point Exceptions & Exception Handling, Floating-point Context Control, Lazy Context Save, Interaction with Security Extension
The SysTick Timer, SysTick Operation, Using CMSIS for SysTick
Armv8-M Security Extension Overview, Memory Security, Secure and Non-secure Views of the System Control Space, SAU Configuration, Function Calls, Calling Non-secure Code from Secure Code, Calling Secure Code from Non-secure Code, Toolchain Support, Interrupts and Exceptions, Taking an Exception
Introduction to PAC-BTI Extension - Part 1, Introduction to PAC-BTI Extension - Part 2, Pointer Authentication Code (PAC), PAC Generation & Cryptographic Keys, PAC Operations, Pointer Authentication in Use, Branch Target Identification (BTI), BTI Across Security States, BTI with PAC and with Implied Branches, Debugging PAC and BTI
MVE Overview, Vector Extension Operation, Vector Register File, MVE Features: Lanes, MVE Features: Beats, Exception State, Loop Tail Predication -Describe why Arm introduced MVE to the Armv8.1-M architecture, VPT Predication -Summarize the main features of MVE, Interleaving and de-interleaving Loads and Stores - Part 1, Interleaving and de-interleaving Loads and Stores - Part 2, How to use MVE, CMSIS-DSP and CMSIS-NN Libraries, Automatic Vectorization, Intrinsics - Part 1, Intrinsics - Part 2, Congratulation
Course: أسس القيادة اليومية
Modules:
مرحبًا بكم في أسس القيادة اليومية!, استقبل معلمك: الأستاذ/ دينيس لوين لويد, استقبل معلمك: الأستاذ/ إليزابيث لوكمان
مقدمة للوحدة الأولى, المحاضرة 1-1.1: تحدّيات القيادة اليومية, المحاضرة 1-1، 2: مهام القيادة اليومية, المحاضرة 1-1، 3: أدوات القيادة اليومية, المحاضرة 1-1، 4: القيادة في عالم افتراضي, الوحدة 1 فيديو استخلاص المعلومات حول نشاط دراسة الحالة, هل أحببت الدورة التدريبية؟ تعلم المزيد مع iMBA! (اختياري)
الوحدة 2 المقدمة, المحاضرة 2-1.1: تحليل القرار, المحاضرة 2-1، 2: الذاتية والترسيخ, المحاضرة 2-1، 3: تعزيز الإبداع في عملية اتخاذ القرار, الوحدة 2 فيديو استخلاص المعلومات حول نشاط دراسة الحالة
الوحدة 3 المقدمة, المحاضرة 3-1.1: مشكلة التكوين, المحاضرة 3-1، 2: مشكلة المشاركة, المحاضرة 3-1، 3: مشكلة التأثير, المحاضرة 3-1، 4: التنوع كأحد الموارد, الوحدة 3 فيديو استخلاص المعلومات حول نشاط دراسة الحالة
الوحدة 4 المقدمة, المحاضرة 4-1.1: قانون الأثر ونظرية التوقع, المحاضرة 4-1، 2: إدارة التصورات والمعضلات الاجتماعية, المحاضرة 4-1، 3: The Promise of Groups Realized, الوحدة 4 فيديو استخلاص المعلومات حول نشاط دراسة الحالة, برامج جامعة غيس عبر الإنترنت
Course: Kubernetes Basics for DevOps
Modules:
Introduction, Containers Overview, Container Orchestration, Kubernetes Architecture
PODs, Demo - Minikube-Setup, Demo - PODs
PODs with YAML, Demo - PODs with YAML, Demo - YAML - Tips, Lab Solution, Replication Controllers and ReplicaSets, Demo - ReplicaSets, Lab Solution, Deployments, Demo: Deployments, Lab Solution, Deployments - Update and Rollback, Demo - Deployments - Update and Rollback, Lab Solution
Basics of Networking in Kubernetes
Services - NodePort, Demo - Services, Services - ClusterIP, Services - Load balancer
Microservices Architecture, Deploying voting app on Kubernetes, Demo - Deploying voting app on Kubernetes, Demo - Deploying voting app on Kubernetes with Deployments
Conclusion
Course: The Meat We Eat
Modules:
Welcome From the Instructor, Welcome from Geoffrey Dahl, US History, US Animal Meat Production, Comparing US System with International Systems
Humane Slaughter and Animal Welfare - WITH slaughter video clips, Humane Slaughter and Animal Welfare - without video clips, Muscle Composition & Conversion of Muscle to Meat
US Inspection, Slaughter Inspection, Food Safety
Grading, Quality Grades, Fabrication, Beef Fabrication - Optional lecture, Lamb Fabrication - Optional lecture, Packaging, Subprimal Cutting
Palatability, Processing & Cooking, Sample Final Project
Meat in the Diet, Technology and Sustainability, By-products
Week 7
Course: Generative Pre-trained Transformers (GPT)
Modules:
Course and Instructor Introductions, What is a Language Model?, N-gram Language Models, Evaluating Language Models, Generating Text, Summary of Module
Introduction to Week, Representing text with numerical vectors​, Words, tokens or sub-tokens​, Neural language models, The Transformer architecture, How are Transformers trained?, GPT and BERT, Using GPT, The ethical challenges of large language models, Wrap-up of the module
Introduction to the Module, Hallucinations in LLMs, Chatbots, RLHF, and ChatGPT, Academic conduct, Creativity and copyright, Regulation and risks, Course Recap
Course: Fundamentals of Quantitative Modeling
Modules:
1.1 Course Introduction, 1.2 Definition and Uses of Models, Common Functions, 1.3 How Models Are Used in Practice, 1.4 Key Steps in the Modeling Process, 1.5 A Vocabulary for Modeling, 1.6 Mathematical Functions, 1.7 Summary
2.1 Introduction to Linear Models and Optimization, 2.2 Growth in Discrete Time, 2.3 Constant Proportionate Growth, 2.4 Present and Future Value, 2.5 Optimization, 2.6 Summary
3.1 Introduction to Probabilistic Models, 3.2 Examples of Probabilistic Models, 3.3 Regression Models, 3.4 Probability Trees, 3.5 Monte Carlo Simulations, 3.6 Markov Chain Models, 3.7 Building Blocks of Probability Models, 3.8 The Bernoulli Distribution, 3.9 The Binomial Distribution, 3.10 The Normal Distribution, 3.11 The Empirical Rule, 3.12 Summary
4.1 Introduction to Regression Model, 4.2 Use of Regression Models, 4.3 Interpretation of Regression Coefficients, 4.4 R-squared and Root Mean Squared Error (RMSE), 4.5 Fitting Curves to Data, 4.6 Multiple Regression, 4.7 Logistic Regression, 4.8 Summary of Regression Models
Course: Liderazgo Instruccional: Perspectiva Global y Prácticas Locales
Modules:
Bienvenida, ¿En qué consiste el liderazgo escolar?, Liderazgo instruccional al interior de las escuelas, Tres modelos para comprender la escuela, La escuela como sistema social abierto, Elementos del sistema social abierto
Efectividad escolar: orígenes y actualidad, ¿Qué sabemos de efectividad escolar?, Evidencia del impacto del liderazgo instruccional, Liderazgo para el aprendizaje
Liderazgo instruccional: perspectiva global (Parte 1), Liderazgo instruccional: perspectiva global (Parte 2), Liderazgo instruccional: perspectiva global (Parte 3), Caso de buenas prácticas locales en liderazgo instruccional
Efectos sustantivos del liderazgo instruccional en el aprendizaje escolar, Ambientes de aprendizaje y feedback, Alineamiento instruccional, Conformación de equipos para el liderazgo instruccional, Buena enseñanza y aprendizajes clave, Desafíos de aprendizaje y logro estudiantil, Mejora continua y focalización
Síntesis
Course: Fundamentals of Software Architecture for Big Data
Modules:
Introduction - Welcome, Introduction - Day-in-the-life, Introduction - Practices, No Silver Bullet, Testing - The basics, Testing - Revisited, Assignments Tech Stack Overview
Blockchain, Blockchain Assignment, Application Continuum - Introduction, Application Continuum - Evolution, Application Continuum - Wrap up
Production Readiness
Cap Theorem Introduction, The Milk Problem, Event Collaboration
Course: Python Basics: Automation and Bots
Modules:
Course Introduction, Copying from Code on the Internet, How to Skim Code, Demo: Gutenberg Walkthrough
Introduction, Growing Data, Thinking Through Flow, Bringing it all Together, Thinking Through Code Flow
Introduction, Filter Data that Satisfies Conditions, Logical Flows, Filter Data, Long Form, Comparing Lists Element by Element, Bringing it all Together
Course Summary, Demo: Robocalls Walkthrough, Reading Documentation
Course: Communication as a Technical Leader
Modules:
Welcome to the Course!, Management and Leadership Communication, The Manner and Tone of Communication
Emotional Intelligence, Learning To Listen, Nonverbals Must Match the Verbals
Is Trust Important?, Trust Through Solid Processes and Procedures, Start With "Why?", Trust Through Clear Roles and Responsibilities
A Re-Look at Establishing Responsibilities, Management By Walking Around, A Final Thought On a No-stress Performance Review, Understanding the Frequency Of Feedback
Course: Cultura Maya en Yucatán
Modules:
Bienvenida, Políticas y lineamientos de calificación, Políticas de Coursera
Bienvenida, El origen de los Mayas, Regiones Mayas y zonas de influencia, El desarrollo de la civilización Maya en la Península, Ciudades prehispánicas más importantes de la Península de Yucatán, Las razones del declive, Los Cacicazgos Mayas durante la llegada de los Españoles, Impacto de la conquista en Civilización Maya, Fuentes de información sobre los antiguos mayas
División de clases y estructura piramidal de la sociedad Maya, Señores supremos, puente entre los dioses y mortales, El papel de la mujer entre los Mayas, Hombres y dioses conectados con la naturaleza, El sincretismo de la conquista, La aritmética y la escritura Maya, El calendario Maya
Inicios arquitectónicos, Arquitectura monumental entre los mayas, Principales elementos Arquitectónicos de edificios mayas, El estilo arquitectónico: Puuc, El estilo arquitectónico de los: Chenes y Río Bec, El estilo arquitectónico del: Centro Mexicano, Naturaleza y materiales arquitectónicos
Inicios de la resistencia maya, Aires de conquista, Montejo y los xiues, pactos que perduran, Nachi Cocom, La gran rebelión maya del 5 cimí y 19 xul, Fray Diego de Landa: El holocausto de la Cultura Maya, Jacinto Canek y el levantamiento de Cisteil, La guerra de castas: Una última oportunidad de la rebelión, Una cruz habla entre la selva: La resistencia de los Cruzoob, Heridas que subsisten
Síntesis de la situación poblacional, territorial y social de los mayas contemporáneos, Sociedad y discriminación, Rituales que se niegan a morir, Defensores de la Tierra, La vestimenta tradicional actual, Literatura maya - Parte 1, Literatura maya - Parte 2, Resarcir una deuda, La Escritura Maya Jeroglífica
Encuesta, Felicidades
Course: Construction Finance
Modules:
Construction Finance Course Introduction
Mathematics of Money - Project Evaluation, Computing Interest / Simple Interest Calculations, Compound Interest Calculations, Simple vs. Compound Interest Rate Example / Nominal and Effective Rate, Nominal Interest Rate Example and Minimum Attractive Rate of Return, Present and Future Value of Money, Future Value of a Uniform Series, Uniform Series, Uniform Series: A deeper dive, Equations for Uniform Series, Net Present Value (NPV) Example, Internal Rate of Return (IRR) Example
Introduction to Financing Development Projects, Feasibility Study Example -- Project Parameters, Development Costs, "Comps" based Property Sale, Tax, Gain and Return, "Cap Rate" based Sale, Tax Gain and Return, Preview of "Discounted Cash Flow" Methods for Gain and Return, Framework for "Discounted Cash Flow" (DCF) Analysis, "Net Present Value" DCF Method for Project Evaluation, Net Present Value (NPV) Examples, "Internal Rate of Return" (IRR) Method for Project Evaluation, NPV and IRR Analysis with Excel, Changing and Comparing Compounding Periods
Introduction to Financial Plans for Development Projects, Debt Financing of Real Estate Projects, Construction Loan Example, Net Comprehensive Cash Flows for Sponsor and Lender, DCF Project Evaluation for Sponsor and Lender, Introduction to Decision Tree Analysis - 1, Introduction to Decision Tree Analysis - 2, Decision Tree Example - Overview, Solving the Example in Excel, Analysis of the Tree Results, Decision Tree Example with Time Value of Cash, Analysis of the Tree Results with Time Value Considered
Global Project Finance Overview and by Sector, Stakeholders in Project Finance, Stakeholder Roles, Principles of Project Financing, Risk and Risk Allocation, Categories of Risk Allocation, Sponsor Perspectives - Structuring and Documentation, Completion Risks / Government Perspectives, Contract Parties, Contracts and Agreements
Project Parties, Timeline, and Finance, Borrowing vs Partnering Case Study: Revenue generating case, Case Study: Developer land swap case / Identifying and Allocating Risk
Public Private Partnerships (P3) Concept and Key Elements, Project Types, Drivers, Value and Typical Structures of P3, Responsibilities and Risk Transfer in various P3 structures, Pursuits through full project lifecycle and P3 Success Factors, Benefits of P3, Getting on Board with P3: Case Studies, A Deeper Dive Into P3 Case Studies
Identifying Risk, Waste Concept in Lean, Mitigating Risk through Lean Project Delivery Systems, How To Assess Probability and Mitigate
Course Wrap-up
Course: Social Media Management
Modules:
Introduction to the Meta Social Media Marketing Professional Certificate, Social Media Management Overview, Introduction to Anke Audenaert, Careers in Digital Marketing, Establish Your Presence Overview, Steps to Set Up a Social Media Presence, Establishing a Presence on Facebook, Establishing a Presence on Instagram, What Is a Brand and Why You Need One, The EPIC Brand Framework, Brand: Existence, Brand: Purpose, Brand: Identity, Brand: Connection, Establish Your Presence Conclusion
Social Media Content Overview, The Role of Content in Social Media, Anatomy of a Social Media Post, Anatomy of a Facebook Post, Anatomy of an Instagram Post, The Role of Text in Posts, The Role of Images in Posts, The Role of Video in Posts, Creating a Post on Facebook, Creating a Post on Instagram, Social Media Content Conclusion
Social Media Content Management Overview, Identify What to Post, Topics to Post About, Using Storyboards to Plan Your Content, Creating a Storyboard, What Makes Content Viral?, Using a Content Calendar, Creating a Content Calendar, Repurposing Content, Auditing Content, Building a Following on Social Media, Interacting and Moderating on Social Media, Managing Your Social Media Presence, Social Media Content Management Conclusion
Evaluate Your Efforts Overview, Measure What Matters, Facebook Page Insights, Instagram Insights, Iterating on Your Content Calendar, Evaluate Your Efforts Conclusion, Congratulations!, What's Next?
Understanding Generative AI: An Overview, Exploring Different GenAI Technologies, Applications of Generative AI in Business, Navigating the Challenging: Concerns with AI, Integrating Generative AI into Social Media Strategies, Understand Your Target Audience with Generative AI, GenAI Tools for Content Creation, Streamlining Ad Creation with GenAI, Conclusion: GenAI in Social Media Marketing
Course: Finance for Everyone Capstone Project
Modules:
Introduction to Capstone I: Summary & Key Concepts, Overview of the Capstone Process
This Week
Welcome Stage II: Process and Tips!
This Week
This Week
Stage 3: Stakeholder Feedback and Implementation Plan (Part I), Stage 3: How to Prepare for a Stakeholder Conversation (Part II)
This Week
Capstone Wrap-up
Course: Practical Predictive Analytics: Models and Methods
Modules:
Appetite Whetting: Bad Science, Hypothesis Testing, Significance Tests and P-Values, Example: Difference of Means, Deriving the Sampling Distribution, Shuffle Test for Significance, Comparing Classical and Resampling Methods, Bootstrap, Resampling Caveats, Outliers and Rank Transformation, Example: Chi-Squared Test, Bad Science Revisited: Publication Bias, Effect Size, Meta-analysis, Fraud and Benford's Law, Intuition for Benford's Law, Benford's Law Explained Visually, Multiple Hypothesis Testing: Bonferroni and Sidak Corrections, Multiple Hypothesis Testing: False Discovery Rate, Multiple Hypothesis Testing: Benjamini-Hochberg Procedure, Big Data and Spurious Correlations, Spurious Correlations: Stock Price Example, How is Big Data Different?, Bayesian vs. Frequentist, Motivation for Bayesian Approaches, Bayes' Theorem, Applying Bayes' Theorem, Naive Bayes: Spam Filtering
Statistics vs. Machine Learning, Simple Examples, Structure of a Machine Learning Problem, Classification with Simple Rules, Learning Rules, Rules: Sequential Covering, Rules Recap, From Rules to Trees, Entropy, Measuring Entropy, Using Information Gain to Build Trees, Building Trees: ID3 Algorithm, Building Trees: C.45 Algorithm, Rules and Trees Recap, Overfitting, Evaluation: Leave One Out Cross Validation, Evaluation: Accuracy and ROC Curves, Bootstrap Revisited, Ensembles, Bagging, Boosting, Boosting Walkthrough, Random Forests, Random Forests: Variable Importance, Summary: Trees and Forests, Nearest Neighbor, Nearest Neighbor: Similarity Functions, Nearest Neighbor: Curse of Dimensionality
Optimization by Gradient Descent, Gradient Descent Visually, Gradient Descent in Detail, Gradient Descent: Questions to Consider, Intuition for Logistic Regression, Intuition for Support Vector Machines, Support Vector Machine Example, Intuition for Regularization, Intuition for LASSO and Ridge Regression, Stochastic and Batched Gradient Descent, Parallelizing Gradient Descent
Introduction to Unsupervised Learning, K-means, DBSCAN, DBSCAN Variable Density and Parallel Algorithms