dipopotamus/custom_instruct_coursera_course_module_list huggingface dataset:
Course: Guided Tour of Machine Learning in Finance
Modules:
Welcome Note, Specialization Objectives, Specialization Prerequisites, Artificial Intelligence and Machine Learning, Part I, Artificial Intelligence and Machine Learning, Part II, Machine Learning as a Foundation of Artificial Intelligence, Part I, Machine Learning as a Foundation of Artificial Intelligence, Part II, Machine Learning as a Foundation of Artificial Intelligence, Part III, Machine Learning in Finance vs Machine Learning in Tech, Part I, Machine Learning in Finance vs Machine Learning in Tech, Part II, Machine Learning in Finance vs Machine Learning in Tech, Part III
Generalization and a Bias-Variance Tradeoff, The No Free Lunch Theorem, Overfitting and Model Capacity, Linear Regression, Regularization, Validation Set, and Hyper-parameters, Overview of the Supervised Machine Learning in Finance
DataFlow and TensorFlow, A First Demo of TensorFlow, Linear Regression in TensorFlow, Neural Networks, Gradient Descent Optimization, Gradient Descent for Neural Networks, Stochastic Gradient Descent
Regression and Equity Analysis, Fundamental Analysis, Machine Learning as Model Estimation, Maximum Likelihood Estimation, Probabilistic Classification Models, Logistic Regression for Modeling Bank Failures, Part I, Logistic Regression for Modeling Bank Failures, Part II, Logistic Regression for Modeling Bank Failures, Part III, Supervised Learning: Conclusion
Course: Accounting for Decision Making
Modules:
Welcome, Why Do We Have Accounting?, What is Accrual Accounting?, What is a Balance Sheet?, What is an Income Statement?, Comparing the Two Statements, Transactions to Financial Statements, Journal Entries, T-Accounts, Using T-Accounts for Account Analysis
An Overview of the Accounting Cycle, Comprehensive Example Set Up, Recording Externally Prompted Transactions, Recording Adjusting Journal Entries, Recording Closing Journal Entries, Making an Income Statement, Making a Balance Sheet
The Economics of Value Creation, Accounting Guidance on Revenue Recognition, Bookkeeping for Revenue Recognition, Accounting for the Allowance for Doubtful Accounts and the Bad Debt Expense, What goes into Inventory and Cost of Goods Sold, Which One Did We Sell? Inventory Cost Flow Assumptions, Bookkeeping for Inventory Transactions
How Do We Think About Long Lived Assets?, Basic Bookkeeping for Depreciation, Changing Depreciation Estimates, Selling an Asset, When an Asset is used to make another Asset, How Do We Think About Non-Physical Assets?, Bookkeeping for Amortization and Intangibles, What is Goodwill?, Calculating Goodwill, Asset Impairments
An Overview of Liabilities, Deferred Revenue, What is a Contingent Liability?, Bookkeeping for Contingent Liabilities, The Economics of Interacting with Owners, Basic Bookkeeping for Equity, Treasury Stock
Why Do We Have Cash Flow Statements?, Putting Cash into Categories, Direct Cash Flow Example, What is an Indirect Cash Flow Statement, Indirect Cash Flow Example, Changes in Working Capital, Indirect with Changes in Working Capital Example
What is a Ratio?, Warnings About Ratios, Build Your Own Ratios, Stock Over Stock, Flow Over Flow, Stock and Flow Ratios, Congratulations, Greg Miller and Gautam Kaul
Course: Generative AI for Data Science with Copilot
Modules:
The power of data science with generative AI and Copilot, Getting started with generative AI with Copilot, What Is Generative AI?, Demystifying generative AI: Concepts and Copilot connection, How generative AI works, powered by Copilot, Exploring Copilot's generative AI capabilities, Copilot in action: Real-world data science case study, Demo: Privacy-preserving techniques in action, Bias in Generative AI, Demo: Using Copilot for data analysis and visualization, Mitigating bias in generative models with Copilot, Demo: Copilot for code generation and debugging
Generative AI: A data scientist's best friend, How generative models learn and create, Designing generative models for specific tasks
Understanding vulnerabilities in generative AI and Copilot, Misinformation and deepfakes: The dark side of Copilot, Privacy-preserving techniques in action, Privacy matters: A visual guide to protecting user data in AI, Responsible AI practices, AI Unmasked: Your Role in Navigating the Risks
Course: Aspectos básicos de la asistencia técnica
Modules:
Introducción al programa, Qué es la TI, Qué hace un especialista en Asistencia de TI, Introducción al curso, Del ábaco a la máquina analítica, El camino hacia las computadoras modernas, La trayectoria profesional de Kevin, Lenguaje informático, Codificación de caracteres, Sistema binario, Cómo contar en Sistema binario, Abstracción, Descripción general de la arquitectura informática, Kevin: Consejos para el mundo de la TI
Introducción al módulo, Introducción al hardware de computadoras, Programas, la CPU y la memoria, Joe habla sobre la diversidad en la TI, CPU, RAM, Motherboards, Almacenamiento físico: unidades de disco duro, Fuentes de alimentación, Dispositivos móviles, Baterías y sistemas de carga, Periféricos y puertos, BIOS, Ben: Habilidades de los profesionales de TI, Armemos una PC, parte uno: Instalar el procesador, Armemos una PC, parte dos, Armemos una PC, parte tres, Reparación de dispositivos móviles, Un programa, muchos futuros
Introducción al módulo, Componentes de los sistemas operativos, Archivos y sistemas de archivos, Administración de procesos, Administración de memoria y memoria virtual, Administración de E/S, Interacción con el SO: Espacio del usuario, Registros, El proceso de arranque o inicio, Sistemas operativos para dispositivos móviles, Cindy: Carrera y trayectoria profesional, Cómo elegir un sistema operativo, Máquinas virtuales, Cómo instalar Windows, Cómo instalar Linux, Qué es ChromeOS, Mac OS, Tri Ngo: Obstáculos y cómo tener éxito en TI, Introducción a Qwiklabs
Introducción al módulo, Aspectos básicos de la creación de redes, Hardware de redes, TCP/IP, La Web, Victor: Primeras experiencias laborales, Historia de Internet, Limitaciones de Internet, Cambio de carrera, Impacto, Internet de las cosas, Gian: Su rol en la seguridad de Android, Privacidad y seguridad, Heather Adkins: Protección contra los hackers, Historia de aprendizaje: Melinda
Introducción al módulo, Cómo se crea el software: código, scripting y programación, Tipos de software, Repasemos el concepto de abstracción, La receta de la computación, Phelan: Aprender sobre TI en la Marina, Administración de software, Instala, actualiza y quita software en Windows, Instala, actualiza y quita software en Linux, Automatización de software
Introducción al módulo, Haz preguntas, Aísla los problemas, Sigue las migas de pan, Comienza con el paso más rápido, Errores comunes en la solución de problemas, Amir: Atributos del espacio de asistencia de TI, Introducción a las habilidades blandas, Anatomía de una interacción, Cómo manejar situaciones difíciles, parte 1, Cómo manejar situaciones difíciles, parte 2, Sistemas de tickets y documentación de tu trabajo, Documentación de procesos, Documentación en los sistemas de tickets, Tu oportunidad de tener éxito, Destácate entre la multitud, Cómo prepararte para una entrevista de trabajo, Qué esperar de una entrevista de trabajo técnica, Cómo presentarte bien a una entrevista de trabajo, Representación de una entrevista para un puesto en atención al cliente, Finalización del curso, Sabrina: La tecnología puede abrir puertas, Felicitaciones
Course: Programming Reactive Systems
Modules:
Introduction to Programming Reactive Systems, Lecture 1.2-Functions and Pattern Matching, Lecture 1.3-Collections, Lecture 1.4-Asynchronous Programming, Lecture 1.5-Futures
Lecture 2.1-Introduction: why actors?, Lecture 2.2-The Actor Model, Lecture 2.3-Message Processing Semantics, Lecture 2.4-Designing Actor Systems, Lecture 2.5-Testing Actor Systems
Lecture 3.1-Failure Handling With Actors, Lecture 3.2-Lifecycle Monitoring and The Error Kernel, Lecture 3.3-Persistent Actor State
Lecture 4.1-Actors Are Distributed (part 1), Lecture 4.2-Actors Are Distributed (part 2), Lecture 4.3-Eventual Consistency, Lecture 4.4-Actor Composition, Lecture 4.5-Scalability, Lecture 4.6-Responsiveness
Lecture 5.1-Introduction to Protocols, Lecture 5.2-Protocols in Akka Typed, Lecture 5.3-Testing Akka Typed Behaviors, Lecture 5.4-Akka Typed Facilities, Lecture 5.5-Akka Typed Persistence, Lecture 5.6-Supervision revisited
Lecture 6.1-Stream Processing, Lecture 6.2-Introducing Reactive Streams Semantics, Lecture 6.3-Akka Streams, Lecture 6.4-Failure handling and processing rate
Lecture 7.1-Streaming Protocols & Stream Composition, Lecture 7.2-Stateful operations and materialized values, Lecture 7.3-Fan-in and Fan-out operations, Lecture 7.4-Integrating Streams with (Typed) Actors
Course: Contexto de Negocios en LATAM: Factores Políticos, Sociales y Económicos
Modules:
Bienvenida al curso, Breve historia política de América Latina, Transiciones a la democracia en América Latina, Desafío actuales a la democracia en América Latina
Visión General, Producción, bienestar y crecimiento, Inserción en la economía mundial, Ambiente de negocios
Mercado de valores, Ratios de valorización, Valorización de acuerdo a diferentes métricas, Inversiones en Latinoamérica: Parte 1, Inversiones en Latinoamérica: Parte 2
Concepto de modelo de negocio, Ejemplos de modelo de negocio de empresas chilenas, Diferencias entre modelos de negocios de empresas latinoamericanas y sus homólogos de América del Norte
Course: Serverless Data Processing with Dataflow: Operations - 日本語版
Modules:
コースの概要, Coursera: Google Cloud Platform と Qwiklabs を使用する
ジョブリスト, ジョブ情報, ジョブグラフ, ジョブの指標, Metrics Explorer
ロギング, Error Reporting
トラブルシューティングのワークフロー, 問題のタイプ
パイプラインの設計, データ形態, ソース、シンク、外部システム, Shuffle と Streaming Engine
テストと CI / CD の概要, 単体テスト, 統合テスト, アーティファクトの構築, デプロイ
信頼性の概要, モニタリング, 位置情報, 障害復旧, 高可用性
クラシック テンプレート, Flex テンプレート, Flex テンプレートの使用, Google 提供のテンプレート
コースのまとめ
Course: Unsupervised Learning and Its Applications in Marketing
Modules:
Course Introduction, Introduction to Unsupervised Learning, Unsupervised Algorithms: Part I, Unsupervised Algorithms: Part II, Applications of Unsupervised Learning
Clustering, k-means, Hierarchical Clustering, DBSCAN
Graded Quiz: Fundamentals of Unsupervised Learning and Clustering
Customer Segmentation, Segmenting Customers with Python: Part I, Segmenting Customers with Python: Part II, Introduction to Dimensionality Reduction
Dimensionality Reduction Algorithm – Linear Projection Techniques, Dimensionality Reduction Algorithm – Manifold Learning, Other Dimensionality Reduction Methods, Introduction to Anomaly Detection
Graded Quiz: Data-Driven Customer Segmentation and Dimensionality Reduction
Normal PCA Anomaly Detection, Sparse and Kernel PCA Anomaly Detection, Random Projection Anomaly Detection, Nonlinear Anomaly Detection
Introduction to Autoencoders, Types of Autoencoders, Market Basket Analysis: Part 1, Market Basket Analysis: Part 2
Graded Quiz: Anomaly Detection, Autoencoders, and Association Learning
Semi-Supervised Learning, Supervised model, Unsupervised Model, Semi-Supervised Model
Boltzmann Machines, Recommender Systems, Collaborative Filtering Using RBMs, Future of Unsupervised Learning
Course Wrap-up
Course: AI-Enhanced Copywriting: SurferSEO, Upword and Anyword
Modules:
Meeting Your Instructor, Task 1 - Introduction to Anyword: Content Improver Tool, Task 2 - Power Up Your Prompts: Creating Engaging Social Media Content, Task 3 - Content Creation: Facebook Ads and Email Campaigns, Practice Task - Creating an Online Campaign, Task 4 - Crafting Captivating Content with Blog Wizard, Before You Begin: Cumulative Task, Cumulative Task: Putting It All Together, Wrapping Up: What's Next?
Course: Renewable Energy: Fundamentals and Job Opportunities
Modules:
Welcome Message and Course Overview, Acknowledgements, Career Exploration Activity: Create Your Pathway
Intro to Clean Energy 101, Conservation and Sustainability, Forms of Renewable Energy, The Importance of Renewable Energy, Energy Basics, Energy Consumption and Conservation, Renewable and Non-Renewable Energy Sources, Pathways to Renewable Energy Careers, Program Spotlight: Renewable Energy Education and Training  at SUNY Farmingdale, Program Spotlight: Columbia Technology Ventures, Optional: Renewable Energy Career Advice from Timothy Hoffman
Introduction to Sustainability, Sustainability Overview, Environment, Economics, Equity, Measuring Sustainability, Pathways to Careers in Sustainability
Introduction to Green Building, The Societal Need for Green Buildings, History and Purpose of Green Buildings, Green Building Rating Systems, Green Building Careers
Introduction to Solar Energy, Solar Industry History, The Value of Solar, How PV Works, Solar Electric System Anatomy, Solar Radiation, Orienting to the Sun, Photovoltaic Cells and PN Junctions, Photovoltaics, PV Systems, Solar Energy Careers, Spotlight on SUNY: Pathways to Solar Energy Careers, Solar Energy Career Considerations: Gay Canough, Installation Company Owner, Solar Energy Career Considerations: Dylan Pulaski, Installer, Solar Energy Career Considerations: John Easoz, Consultant
Offshore Wind - Program Overview, History of Wind Power, Introduction to Offshore Wind, Wind as a Fluid, Reviewing Major Components of Nacelle Trainer, Turbine Design, Hands on Demonstration - Mechanical Drives Systems Trainer, Siting Wind Turbines, The Offshore Wind Supply Chain, O&M and Training in Offshore Wind, Wind Energy Careers: Expert Interview with Jessica Fischer
What is Nanotechnology?, Working in Nanotech, Nanotechnology for Solar Energy Systems, Solar Cell Manufacturing, Nanotechnology Education in New York State, Program Spotlight: Nanotechnology at SUNY Erie Community College
Step 1: Project Ideation, Step 2: Narrow and Title Your Project, Step 3: Project Objectives, Step 4: SWOT Assessment, Step 5: You and Your Future Goal, Step 6: Self-marketing Tool, Step 7: Create an Elevator Pitch, Step 8: Safeguard Your Online Image, Step 9: Identify a Mentor, Step 10: Grow Your Network
Course: Digital Trends: AI, Metaverse, Persuasive Tech & Blockchain
Modules:
Course Introduction, Module 1 Introduction, Social Media & Persuasive Technology, What is the Social Media Business Model? ...And What Could Go Wrong? - Part 1, What is the Social Media Business Model? ...And What Could Go Wrong? - Part 2, Prediction Machines and Their Recommended Engines
Module 2 Introduction, The Algorithmic Discovery of Cognitive Biases - Part 1, The Algorithmic Discovery of Cognitive Biases - Part 2, The Algorithmic Discovery of Cognitive Biases - Part 3, Introduction to Risk & Utility of Persuasive Technology, Risk & Utility of Persuasive Technology - Part 1, Risk & Utility of Persuasive Technology - Part 2, Risk & Utility of Persuasive Technology - Part 3, How to Maximize Benefits and Mitigate Risks of Persuasive Technology? - Part 1, How to Maximize Benefits and Mitigate Risks of Persuasive Technology? - Part 2, How to Maximize Benefits and Mitigate Risks of Persuasive Technology? - Part 3
Module 3 Introduction, The Next Wave of Digital Reality, The AI Deep Learning Revolution - Part 1, The AI Deep Learning Revolution - Part 2, The AI Deep Learning Revolution - Part 3, Why Do We Need Computer Simulations?
Module 4 Introduction, Digital Twins: From Theoretical Model to Empirical Twins? - Part 1, Digital Twins: From Theoretical Model to Empirical Twins? - Part 2, Introduction to What is the Metaverse & Web 3.0?, What is the Metaverse & Web 3.0?, Why is the Blockchain Such a Big Deal? - Part 1, Why is the Blockchain Such a Big Deal? - Part 2, What Are Some Blockchain Applications? - Part 1, What Are Some Blockchain Applications? - Part 2, What Are Some Blockchain Applications? - Part 3, Introduction to What Is the Blockchain?, What Is the Blockchain? - Part 1, What Is the Blockchain? - Part 2, What Is the Blockchain? - Part 3, Blockchain's Magic Ingredient: Hashing & Consensus Algorithms - Part 1, Blockchain's Magic Ingredient: Hashing & Consensus Algorithms - Part 2, Blockchain's Magic Ingredient: Hashing & Consensus Algorithms - Part 3
Course: IBM Data Privacy for Information Architecture
Modules:
Meet Christopher Giardina, Meet Tim Davis, Meet Paul Christensen, Transforming your business with modern data and AI architectures, What is an IBM DataFirst engagement?
Data governance and organizational structures introduction, DataFirst, Structures and roles, Organization governance structures, Use case example, Questions to consider
Introduction to considering data privacy rights, Data protection, privacy and regulations overview, Example of a deployment, Data privacy regulations and initiatives
Data governance intersections introduction, Why data governance?, Private data, use case types, and governance building blocks, Key governance components: Who and what?, What is metadata?, Key governance components: Where, why, how?, Data Privacy policies and procedures examples, Example assessment guidance, Questions to consider
Data privacy vs security introduction, Underlying principles, The difference between data privacy and security, Privacy mechanisms, Security mechanisms, Governance driven protection and use case introduction, Test data management use case, Analytics and data science use case, Summary
Data privacy and the changing landscape, Data privatization mechanisms introduction, Personal data privatization vs. privatization of personal data, Personal data categories, Data topologies, use cases, and the data strategy perspective, Typical mechanisms overview, Data masking, Tokenization, Anonymization, Data fabrication, Personal data re-identification risk assessment, Other related approaches, Choosing privatization techniques and considerations
Conducting the workshop introduction, DataFirst engagement, The agenda, The participants, Day one, Days two and three, Days four and five, Typical work products and deliverables, High level data flow approach, Breakdown of processes approach, People, process, and technology views, Drill down approach, Roadmap guidance example
Course: Становление современной Украины
Modules:
Украинские вопросы, поднятые российским вторжением, Происхождение наций, География и древняя история, До Европы, Викинги, рабовладельцы, законодатели: киевское государство, Великое княжество Литовское, Подъем Московии, Украинские евреи в ранее Новое время (Гленн Дайнер), Польская власть и восстание казаков, Мировые империи, Отступление Османской империи, российская власть, украинская государственность, Любопытство Габсбургов, Республики и революции, Украинцы в межвоенной Польше, Украинизация, голод и террор: 1920–1930-е годы, Колонизация, истребление, этнические чистки: 1940-е годы, Реформы, рецентрализация и диссидентство: 1950–1970-е годы, До и после конца истории, Олигархии в России и Украине, Майдан и самоидентификация, Российский империализм в сравнении (Арне Вестад), Украинские идеи в 21-м веке, Колониальный, постколониальный и глобальный факторы
Course: Energy Management for IoT Devices
Modules:
Introduction to module 1, The Intersection of IoT and Energy Management, Energy Sources for IoT: An Overview, Understanding IoT Energy Consumption Patterns, Battery Technologies for IoT, Renewable Energy Sources in IoT, Innovations in Energy Storage for IoT, Analyzing Energy Consumption in IoT Devices, Techniques for Energy Optimization in IoT, IoT Power Management Strategies
Introduction to module 2, Energy-efficient IoT Sensors and Actuators, Low-power IoT Communication Technologies, Integrating Renewable Energy Tech in IoT, Software Solutions for Energy Management in IoT, Role of AI and Analytics in IoT Energy Efficiency, Software Optimization for Energy Management, Energy Aspects of IoT Networking, Energy-efficient Data Transmission in IoT, IoT Network Design for Energy Conservation
Introduction to module 3, Principles of Energy-efficient Design in IoT, Component Selection for Energy Efficiency, Integrating Renewable Energy in IoT Design, Prototyping Energy-efficient IoT Solutions, Testing IoT Energy Management Solutions, Real-World Examples of Efficient IoT Systems, Strategies for Deploying Energy-efficient IoT Solutions, Monitoring IoT Systems for Energy Efficiency, Future Trends in IoT Energy Management
Introduction to module 4, IoT in Smart Cities: Energy Perspectives, IoT for Smart Grids and Energy Management, Sustainable Development through IoT, Energy Management in Industrial IoT, IoT in Building and Facility Management, IoT Applications in Manufacturing and Logistics, Future Trends in IoT Energy Management, Ethical and Environmental Considerations in IoT, Preparing for an IoT-Driven Energy Future, Wrap up and key takeaways
Course: College English Prep
Modules:
Copyright Notice for MOOCs, TSI Compliance | What is it?, How Will I Be Evaluated? - Writing Exam, How Will I Be Evaluated? - ELAR Exam, How Can This Guide Help Me Achieve My Compliance Goal?, My Day in the Life at UNT, Join UNT's BAAS Program Today!, Join UNT's BSGB Program Today!
What do Purpose and Focus Really Mean?, Develop a Clear Statement of Purpose That States the Issue or Problem You are Writing About, Support Your Purpose Using a Unified and Coherent Structure, What Do Organization and Structure Really Mean?, Order Your Ideas, Connect Your Ideas, What Do Development and Support Mean?, Develop Your Ideas, Support Your Ideas
All Words Are NOT Created Equal, The Parts of the Sentence, The Four Types of Sentence, Combining Phrases and Clauses Effectively, What Are Mechanical Conventions?, Learn the Parts of Speech, Understand Agreement, Understand Dangling and Misplaced Modifiers, How Phrases and Clauses Work Together, How to Punctuate Sentences
Look for Meaning, The Critical Thinking Process, Thinking Critically
Course: Anatomy: Musculoskeletal and Integumentary Systems
Modules:
Introduction to the Course, Functions of the Skeletal System, Histology of Bone Tissue, Cells in Osseous Tissue, Compact v. Spongy Bone, Components of Compact Bone, Parts of Long Bone, Intramembranous Ossification, Endochondral Ossification, Aging, Osteoporosis, Factors Affecting Growth/Remodeling - Bone Growth, Factors Affecting Growth/Remodeling - Fractures and Bone Repair, Skull - Terminology: Skull vs. Cranium, Skull - Cranial Fossae, Skull - Sutures, Skull - Inferior View of Skull, Skull - Lateral View of Skull, Skull - Facial Skeleton, Skull - Mandible, Vertebral Column, Sternum and Ribs - Sternum, Sternum and Ribs - Ribs, Pectoral Girdle - Clavicle, Pectoral Girdle - Scapula, Upper Limb Bones - Humerus, Upper Limb Bones - Ulna, Upper Limb Bones - Radius, Upper Limb Bones - Carpals, Metacarpals, Phalanges, Pelvic Girdle - Coxal Bone, Lower Limb Bones - Femur, Lower Limb Bones - Patella, Lower Limb Bones - Tibia, Lower Limb Bones - Fibula, Lower Limb Bones - Tarsals, Metatarsals, Phalanges
Introduction to the Course - What is a joint?, Functions of Joints, Joint Classification Schemes, Joint Structure Classifications, Joint Movement Classifications, Structures of Synovial Joints, Ligaments, Factors Affecting Range of Motion in Joints, Types of Synovial Joints, Arthritis, Temporomandibular Joint (TMJ), Glenohumeral and Associated Joints, Elbow Joint and Associated Joints, Radiocarpal (Wrist) Joint, Hip Joint, Knee Joint, Ankle (Talocrural) and Associated Joints
Lesson 1: Properties and Functions of Muscular Tissue; Types of Muscular Tissue, Gross Anatomy of Skeletal Muscle, Muscle Attachment Sites, Muscles of the Head, Muscles of the Neck and Back, Muscles of the Thorax, Muscles of the Abdomen, Muscles of the Pelvis, Muscles of Upper Limb (Axio-Appendicular), Muscles of Upper Limb (Arm), Muscles of Upper Limb (Forearm), Muscles of Upper Limb (Hand), Muscles of Lower Limb (Thigh), Muscles of Lower Limb (Leg), Muscles of Lower Limb (Foot)
Introduction to the Integumentary System, Functions of the Integumentary System, Epidermal Cells, Layers of the Epidermis, Dermis, Hypodermis, Melanin, Integumentary Glands
Course: Designing Learning Innovation
Modules:
Designing Learning Innovation, What we mean by Learning Innovation, From speaker to designer
The beauty of starting from the end, The intended learning outcomes, The Dublin descriptors, Bloom's Taxonomies
The reasons of assessment, The key principles of assessment, Tests, Criteria and indicators, The crucial role of feedback, Involving students in the assessment
Pedagogical frameworks "prêt-à-porter", Orienting ourselves among pedagogical theories, Gagné and learning events, Inquiry based learning, Problem based learning, Kolb's cycle, Social Learning, Networked Learning, Flipped Classroom
The Learning Innovation Network, Creating the Network, Describing the key actors, The active classroom, The design of activities, Activities for large classrooms, Activities for medium-small classrooms
Contents: typology and narrative structures, Content: format and sources, Focus: Open Educational Resources (part 3), Physical channels, Digital channels, The outside world, Monitoring: the quantitative dimension, Monitoring: the qualitative dimension
Course: Climate Change and Human Rights
Modules:
Introduction, History of the Field, Important Cases and Trends, The Present, Key Takeaways, What's Next?, Challenges, Looking Ahead
Course: Analyzing Growth Drivers & Business Risks
Modules:
Course Introduction
Analysis Framework, PESTEL Analysis, Political Factors, Economic Factors, Social Factors, Technological Factors, Environmental Factors, Legal Factors, PESTEL Example
Porter's 5 Forces, Industry Research, Porter's 5 Forces Example, Industry Lifecycle
Frameworks for Analyzing a Business, Understanding Competitive Position, Ansoff Matrix, SWOT Analysis
Translating Growth Drivers & Business Risks into Financial Analysis, Assumptions & Drivers in a Financial Model, Case Study: ABC Sporting Goods, Case Study: ABC Sporting Goods (cont.), Case Study: MDM Medical (Part 1), Case Study: MDM Medical (Part 2), Case Study: MDM Medical (Part 3), Course Summary
Qualified Assessment
Course: Oral Communication for Engineering Leaders
Modules:
Meet the Professor - Dr. Beata Krupa, Meet the Professor - Dr. Gayle Moran, Introduction to Specialization
Course Overview and Objectives
Module Objectives, Communication Strategy, Who Is Your Audience?, What Do You Want From Your Audience?, What Do You Want Your Audience to Remember?, Choosing  Medium
Course Objectives, How to Develop and Organize Content, Pyramid Building Demonstration, Inductive vs Deduction, Key Presentation Elements, Part 1, Key Presentation Elements, Part 2, Principles of Persuasion, Storytelling Power
Objectives, Supporting Visuals, Part 1, Supporting Visuals, Part 2, Showing Complex Data, More Data Visualization Options, Beyond PPT... Prezi, Infographics
Objectives, Present Like a Professional, Part 1, Present like a Professional, Part 2, How to Coordinate a Team Presentation, Answering Questions, Prep, and Rehearsing
Objectives, How to Talk Without Preparation, Always Have a Pitch Ready, Presenting Online, Managing Public Speaking Anxiety, Congratulations: Course Completed!
Course: Introduction to Vertex AI Studio - Português Brasileiro
Modules:
Introdução ao Vertex AI Studio, Coursera: Getting Started with Google Cloud Platform and Qwiklabs
Course: Intellectual Change in Early China: Warring States and Han
Modules:
M00.1 Definitions, M00.2 Paradigm Shift, M00.3 A Four-Part Course
M01.1.1 Background 1, M01.1.2 Background 2, M01.2.1 Functions of the wu, M01.2.2 The Early Chinese Pantheon, M01.2.3 Arguments Against Shamans: The Role of Intellectuals, M01.2.4 The Parallel Attack on Diviners
M02.1Confucian Self-Cultivation, M02.2 Ethics and Cosmology, M02.3.1 The Dao, M02.3.2 The heart, M02.3.3 Qi, or vital energy, and the Real Person
M03.1.1 The Zhou Sacrifice to Heaven, M03.1.2 The Dao, M03.1.3 Transcendence, M03.2 The Center, M03.3 Confucianism: Ritual and History, M03.4 Early Chinese Dualities
M04.1 Local and Dynastic Religion in the Han, M04.2 Literati, Orthodoxy, and the First Canon, M04.3 State Religion in the Han
M05.1 Cosmology and Psychology in the New Medicine, M05.2 The Return of the Repressed, M05.3 Ancestors, Moralization, and the Spiritual Bureaucracy, M05.4 A New Synthesis, M05.5 The Answer: Exorcism
Course: الدخل القومي | National Income
Modules:
القطاعات الأساسية المكونة للاقتصاد, مخطط التدفق الدائري للدخل, محددات الـ (Gross Domestic Production - GDP), توزيع الدخل القومي على الـ (Factors of Production), طرق تعظيم الربحية من خلال عناصر الإنتاج, أسلوب تقسيم الدخل القومي - الجزء الأول, أسلوب تقسيم الدخل القومي - الجزء الثاني, كيفية تحقيق التوازن بين العرض والطلب (Supply & Demand), أثر تغيير السياسات على تحقيق التوازن
Course: Capstone: Your Story
Modules:
Where We've Been and Where We're Going, The Elements of Story, Gathering Materials
Strategies for Making a Coherent Whole, Interview with Amy Bloom, pt. 1, Interview with Amy Bloom, pt. 2, Interview with Jaimy Gordon, Working on a First Draft
Compose, Compose, Compose, Una LaMarche, Lin-Manuel Miranda, Ayelet Waldman, Becky Albertalli, First Draft
Giving Good Critique, Workshop Demonstration, pt. 1, Workshop Demonstration, pt. 2, Three Peer Reviews
The Dear Workshop Letter, What is a Debriefing?, Debriefing Example: What The Conversation Looks Like, What Is Sanding?, Sanding Demonstration, Milestone for This Week: Sanding Submission
Revise, Revise, Revise, Introduction to Publication, Brando Skyhorse on Publishing, pt. 1, Brando Skyhorse on Publishing, pt. 2, Making Progress
Workshops and Conferences, Interview with Anne Greene about Conferences, Final Draft, Congratulations!
Course: Applied Calculus with Python
Modules:
Introduction to Python, Working with SymPy
Theory: Functions, Theory: More about Functions, Theory: Graphing and Composition, Python: Graphing Functions, Python: Interactive Quadratic Calculator, Theory: Exponential Functions, Theory: Logarithmic Functions, Theory: The Natural Logarithm, Python: Exponentials and Logarithms
Theory: Introduction to Limits, Theory: Limits Involving Infinity, Theory: One-Sided Limits, Examples to Find Limits, Python: Finding Limits, Theory: Derivatives, Examples: Finding Derivatives using Limits, Theory: Using Limits to Find the Slope of the Tangent Line, Theory: Higher Derivatives, Theory: The Derivative as a Function, Python: Finding Derivatives using Sympy
Theory: Derivatives of Polynomial Functions, Theory: Derivatives of Exponentials, Theory: The Quotient Rule, Theory: The Product Rule, Theory: Chain Rule, Theory: Max and Min Values, Theory: How Derivatives Affect the Shape of a Graph, Python: Local Extrema Calculator, Optimization Examples
Theory: Area under a Line, Theory: Area Under Curves, Theory: The Definite Integral, Theory: Properties of the Definite Integral, Python: Approximate and Exact Integration, Theory: Antiderivatives, Theory: The Fundamental Theorem of Calc, Theory: Worked Examples
Course: Gemini for DevOps Engineers - Français
Modules:
Présentation de Gemini pour les ingénieurs DevOps, Les microservices en toute simplicité avec Gemini
Course: التحضير لمقابلة عمل الترميز
Modules:
مقدمة إلى الدورة التدريبية, مقدمة لعملية التوظيف التقني, ما هي مقابلة الترميز؟, الاتصال, ما يمكن توقعه من مقابلة تقنية, النظام الثنائي, الذاكرة, تعقيد الوقت, تعقيد المساحة, ملخص الوحدة: مقدمة لمقابلة عمل الترميز
هياكل البيانات الأساسية, القوائم والمجموعات, المكدسات وقوائم الانتظار, الأشجار, جداول التجزئة, الأكوام, الرسوم البيانية, ملخص الوحدة: مقدمة إلى هياكل البيانات
خوارزميات الفرز, خوارزميات البحث, فرّق تسد, التعاودية (التكرارية والاستدعاء الذاتي), البرمجة الديناميكية, الخوارزميات الجشعة, ملخص الوحدة: مقدمة في الخوارزميات
ملخص الدورة التدريبية, خلاصة الدورة التدريبية
Course: Prospectiva jurídica
Modules:
Introducción al curso, Bienvenida a la semana I, ¿De qué hablamos cuando hablamos de prospectiva jurídica?, Nociones afines y no tan afines, Proceso prospectivo, Teleología de la prospectiva, Clasificación de la prospectiva, Importancia y utilidad de la prospectiva, ¿Quién hace prospectiva?, Retos y problemas de la prospectiva, Resumen de la semana I
Bienvenida a la semana II, Pensar la prospectiva jurídica, El objeto de estudio de la prospectiva jurídica, Denominación de la materia, Teleología de la prospectiva, Clasificación de la prospectiva jurídica, Importancia de la prospectiva jurídica, Problemas de la prospectiva, Retos de la prospectiva jurídica, ¿Es un discurso contra-hegemónico?, Resumen de la semana II
Bienvenida a la semana III, Metodología jurídica frente a la perspectiva jurídica, Heurística problematización y prospectiva, Retrospectiva e instrospectiva, Análisis y observación de hechos, Mirar en clave multidisciplinar, Rumbo metodológico, ¿Cómo hacer prospectiva jurídica?, Técnicas de la prospectiva jurídica, Creatividad en el proceso, Intuición en la prospectiva jurídica, Derecho comparado, Diseño de escenarios, Perspectiva de la visión prospectiva, Cómo introducir los estudios del derecho, Cómo introducir el quehacer jurídico, Sistema evaluacion de prospectiva, Ejemplo de incomporación, Resumen de la semana III
Pensar en las praxis de la prospectiva juríidica, El quehacer del quien hace estudio. Parte I., El quehacer del quien hace estudio prospectivo. Parte II., El quehacer del quien hace estudio prospectivo. Parte III., Perpectiva jurídica con enfoque de otredad, Ideologia, epistemologia y prospectiva jurídica, Aplicacion concreta de la prospectiva, Megatendencias de la prospectiva jurídica, Enseñar derecho en clave prospectiva, Propuesta de decálogo, Resumen de la semana IV, Despedida del curso
Course: Spring MVC, Spring Boot  and Rest Controllers
Modules:
Course Introduction, Spring MVC, Spring Boot Project, Lab Walkthrough, Rest Controllers, Lab Walkthrough, Customizations, Lab 1 Walkthrough, Lab 2 Walkthrough, Configuration Property Classes, Lab 2 Walkthrough, Bean Definitions in the Application Class
Using Request Parameters, Lab 1 Walkthrough, Lab 2 Walkthrough, Posting, Lab 1 Walkthrough, RestTemplate, Lab 2 Walkthrough, Content Negotiation, Content Negotiation RestTemplate, Lab 3 Walkthrough, Lab 4 Walkthrough
Controllers and ViewResolvers, Lab 1 Walkthrough
Course: Data Augmented Technology Assisted Medical Decision Making
Modules:
Welcome to the Course, Welcome to Module 1, ⭐ Meet A.I.L.A., What Is Big Data?, Locating the Data and Datasets, AI/ML in Health Care, Meet Professor Maggie Makar, What is ML?, Methodologies, Supervised Learning, Unsupervised Learning, Reinforcement Learning, ⭐Deep Learning, ⭐How Models Are Developed: Part 1, ⭐How Models Are Developed: Part 2, ⭐How Models Are Developed: Part 3, Challenges With Model Development
Welcome to Module 2, Evidence-Based Medicine (EBM), Overlap of EBM, AI, and ML, The Diagnostic Process, Clinical Questions, Correlation vs. Causation, Hypothesis Testing, Confidence Intervals, Frequency Measures, Probability and Bayesian Statistical Analysis, Bayes Theorem, Likelihood Ratios, How Do We Evaluate Predictive Models?, Introduction to ROC Curves, Calibration
Welcome to Module 3, ⭐Clinical Case: Part 1, The Diagnostic Process, Critical Appraisal, Validity of the Results (Part 1), Validity of the Results (Part 1 Continued), Validity of the Results (Part 2), Validity of the Results (Part 2 Continued), What Are the Results?, ⭐Clinical Case: Part 2, Do Results Apply?, Do Results Apply?, Do Results Apply? (Continued), Monitoring Performance
Welcome to Week 4, Medical Ethics, Data Availability, Data Collection and Curation, Meet Professor Nicholson Price, Patient Privacy and Data, ⭐Data Ownership, Goals of Governance Key Stakeholders, Sources and Dimensions of Algorithmic Bias, Bias and Performance Over Time, Clinician Response to Bias, Transparency, Who Is Liable When Something Goes Wrong?, Trust, Takeaways For Providers
Course: Applied Analytics and Data for Decision Making
Modules:
Introduction to Applied Analytics and Data for Decision Making, Identifying Root Causes, Best Fit Solutions, Testing Solutions
ISO, Lean, Six Sigma, Operational Excellence, Dan Gerena Discusses Melding Business and Data Strategies
A Data Literacy Culture, Dan Gerena Discusses Implementation Challenges, Data Ethics and Privacy, Hospitality Case Study, Manufacturing Case Study, E-Commerce Case Study
Project: Applied Analytics and Data for Decision Making
Course: Chinese for HSK 3 PART I
Modules:
最大的爱好  zuì dà de àihào, 你经常照相吗？Nǐ jīnɡchánɡ zhàoxiànɡ mɑ?, 没什么打算 Méi shénme dǎsuàn, 去哪儿旅游？Qù nǎr lǚyóu?, 你瘦了 Nǐ shòu le
准备礼物 Zhǔnbèi lǐwù, 当然是春节 Dānɡrán shì chūnjié, 感冒了 Gǎnmào le, 腿有点儿疼 Tuǐ yǒudiǎnr ténɡ, 我试试 Wǒ shìshi
你想看什么节目？Nǐ xiǎnɡ kàn shénme jiémù?, 我不能迟到 Wǒ bù nénɡ chídào, 看熊猫 Kàn xiónɡmāo, 不在东北边 Bú zài dōnɡběibiɑn, 一直向南走 Yìzhí xiànɡ nán zǒu
上网买东西 shànɡwǎnɡ mǎi dōnɡxi, 数学考试太难了 shùxué kǎoshì tài nán le, 你怎么知道得这么多！Nǐ zěnme zhīdào de zhème duō！, 你能教我吗？Nǐ nénɡ jiāo wǒ mɑ?, 习惯那儿的天气 Xíɡuàn nàr de tiānqì
我长得像我奶奶 Wǒ zhǎnɡ de xiànɡ wǒ nǎinɑi, 她长什么样？Tā zhǎnɡ shénmeyànɡ?, 我喜欢的房间 Wǒ xǐhuɑn de fánɡjiān, 我忙着搬家 Wǒ mánɡzhe bānjiā, 楼下的咖啡馆 Lóu xià de kāfēiɡuǎn
桌子上有什么？Zhuōzi shɑnɡ yǒu shénme？, 我们叫外卖吧 Wǒmen jiào wài mài bɑ, 把手机借给我？Bǎ shǒujī jiè ɡěi wǒ?, 钱快被我花完了Qián kuài bèi wǒ huā wán le, 去机场接阿姨 qù jīchǎnɡ jiē ā yí
Introduction to HSK Test Level III, Writing (15 minutes)
Course: Climate Change, Sustainability, and Global Public Health
Modules:
Climate Change, Sustainability, and Global Public Health, Introduction to Climate Change, Indicators of Climate Change, Global Impacts of Changes in Climate, National and Local Impacts of Changes in Climate, Health Impacts of Climate Change, High vs. Low Income Country Impacts
Mitigation vs. Adaptation, Global Climate Change Policy, National and Local Climate Change Policy, Evaluating Climate Change Policy
Introduction to Sustainability and Energy, Types of Energy Sources - Contribution to Pollution, Energy sources and CO2, The Problem with Coal, Efficiency, Sustainability Frameworks, Next Steps in Addressing Sustainability and Energy Issues
Recap on Climate Change, Sustainability, and Global Public Health
Course: Get Started with Mail and Calendar Applications: Outlook
Modules:
Course Overview, Specialization Overview, Basics of Mail and Calendar Apps, The Fundamentals of Email, Sorting, Storing, and Searching Emails, Sending and Receiving Attachments
The Fundamentals of Calendars, Viewing, Filtering, and Printing Calendars, Adding and Sharing Calendars
Making Emails Secure and Confidential, Working with Junk Mail, Working with Contacts, Scheduling Teams Meetings and Adding Organizational Calendars
Course Summary & Next Steps
Course: Human Decision Making and its Biases
Modules:
Program Introduction, Introduction to Human Decision Making, Making Better Decisions - An Introduction, Mathematical Thinking, The Brain on Decisions, Everyday Decisions, The VUCA World
Case 1: The Art of Data (and War) - Armoring Planes for Additional Safety, How Algorithms Can Help, But Algorithms Aren’t the Panacea, Simpson's Paradox and Significance of Business Intuition, Bringing Data to Intuition and Vice Versa
12 Angry Men - Exploring Human Nature, 12 Angry Men - Unpacking the Case, 12 Angry Men - The Challenge of Dissenting Voices, 12 Angry Men - Confirmation Bias and the Complexities, 12 Angry Men - Ten Decision-Making Lessons (Part A), 12 Angry Men - Ten Decision-Making Lessons (Part B)
Challenger Launch Case - A Tragic Beginning, Challenger Launch Case - Analyzing the Data, Challenger Launch Case - Resulting vs. Decision Quality, Challenger Launch Case - Uncovering Critical Data, Challenger Launch Case - Normalization of Deviant Behavior, Context and Decision Environments: Challenger Launch Case vs. 12 Angry Men, Advocacy vs. Inquiry: Shaping Decision-Making, Type One and Type Two Decisions, Organizational Decision Making - Assumptions and Myths, Building a Decision Making Framework, Conclusion
Course: Visualizing & Communicating Results in Python with Jupyter
Modules:
Navigating Codio Assignments, Comparison Charts Lesson Notes (Optional Download), Composition Charts Lesson Notes (Optional Download)ng, How to Reset an Assignment in Codio, Coding Exercises PDF(Optional Download)
Scatter plot Lesson Notes (Optional Download), Box Plots and Histograms Lesson Notes (Optional Download)
Specialized Viz Lesson Notes (Optional Download)
Document Report Lesson Notes (Optional Download), Data as Presentation Lesson Notes (Optional Download), Interactive data Lesson Notes (Optional Download)
Codio: Lab Visualizing Data and Communicating Results with Jupyter
Course: Power System Stability
Modules:
About the Specialization, About the Course, Power System Stability - Design and Operating Criteria, Assumptions and Impact of Disturbances in Stability Studies, Classification of Power System Stability, Overview of Angular Stability, Frequency Stability, and Voltage Stability, Conditions for Steady State and Transient Stability, Time Scale for Power System Dynamic Characteristics, Rotor Dynamics of Synchronous Machines, Swing Equation and Swing Curve of a SMIB System, Power Angle Equation of Generator and Motor, Power Angle Curve and its Significance, Steady State Stability Analysis of SMIB System, Transient Stability Assessment of SMIB System, Demonstration of Transient Stability Analysis using ETAP Simulation (Part-I), Demonstration of Transient Stability Analysis using ETAP Simulation (Part-II)
Equal Area Criterion Method for Transient Stability Analysis, EAC Application: Sudden Change in Mechanical Input, Determination of Critical Clearing Angle and Time using EAC for Transient Stability Analysis of a SMIB System, Numerical Problem for Illustration of Equal Area Criterion, Sudden Short Circuit occurring at Sending End - Application of Equal Area Criterion, Sudden Short Circuit Occurring at the Middle of the Line - Application of EAC, Sudden Short Circuit Occurring at the Middle of the Line - Application of EAC, Numerical Problems - I on Transient Stability Analysis, Numerical Problems - II on Transient Stability Analysis, Simulation Studies on Transient Stability Analysis
Basic Concepts Related to Voltage Stability, PV & QV Characteristics in Voltage Stability Analysis, Types of Voltage Stability Part-I, Types of Voltage Stability Part-II, Ill Effects of Voltage Instability, Voltage Collapse - A Case Study, Voltage Collapse - A Case Study Part 2, Short Term Voltage Stability Analysis, Long Term Voltage Stability Analysis, Time Frame-based Voltage Stability Analysis, Effect of Load on Voltage Stability, Analysis of Voltage Stability for Simple Systems, Numerical Problem and Simulation
Reactive Power Compensation Using FACTS Devices, Types of FACTS Controllers-I, Types of FACTS Controllers-II, Principles of Conventional Reactive Power Compensators, Static VAR Compensator - Structure and Applications, Static and Dynamic VI Characteristics of SVC, A Case Study on Prevention of Voltage Instability, Principle and Modes of Operation of TCSC, Characteristics and Applications of TCSC, Comparative Study of Various FACTS Controllers, PSS for Small Signal Stability Enhancement
Course: La Economía Circular: ¿un mito o una posibilidad?
Modules:
Presentación del curso
Presentación de la semana, ¿Qué es la Economía Circular?, Escuelas de pensamiento. La economía del rendimiento, Escuelas de pensamiento. La biomimética, Escuelas de pensamiento. El capitalismo natural, Escuelas de pensamiento. La economía azul, Escuelas de pensamiento. El diseño regenerativo, Escuelas de pensamiento. De la cuna a la cuna, Escuelas de pensamiento. La ecología industrial, Escuelas de pensamiento. Conclusión
Presentación de la semana, ¿Por qué necesitamos avanzar hacia una Economía Circular?, Compromisos internacionales vinculados a la Economía Circular, Paquetes de la Unión Europea en Economía Circular 2015-2018, Paquetes de la Unión Europea en Economía Circular en 2020, Conclusiones, Reflexiones en torno a la economía circular: limitaciones y potencialidades, Entrevista a Edmundo Muñoz Alvear (Economía Circular en América Latina), Participación ciudadana y economía circular en la provincia de Chiloé
Presentación de la semana, Introducción a las distintas herramientas en Economía Circular, La teoría de sistemas, Balances de materia, balances de energía, y análisis de exergía, Introducción a herramientas para el análisis de sistemas, Análisis de Flujo de materiales, Introducción a herramientas para el análisis de sistemas: Análisis de exergía, Caso práctico MFA: Análisis aguas pluviales, Caso práctico: Exergía, Proyecto URBAG
Presentación de la semana, ¿Qué es el ecodiseño?, Estrategias de ecodiseño, Herramientas para el ecodiseño: edTOOL, Ecodiseño aplicado a ciudades, Ecodiseño de baterías de vehículos eléctricos
Presentación de la semana, ¿Qué es el análisis de ciclo de vida?, Análisis de inventario, Evaluación de impacto ambientales: Categorías de impacto, Evaluación de impacto ambientales: Metodología, Interpretación y mejoras, Caso práctico: el ciclo urbano del agua, Caso práctico AFM-ACV, Bases de datos y software para el análisis de ciclo de vida, Input-ouput LCA. Parte 1: Fundamentos, Input-ouput LCA. Parte 2: Ejemplo aplicación, Despedida del curso
Course: 操作系统原理（Operating Systems）
Modules:
操作系统做了什么？, 操作系统的定义和作用, 操作系统的主要特征, 典型操作系统的架构, 操作系统的分类1, 操作系统的分类2
处理器状态, 中断与异常机制介绍, 中断与 异常机制 工作原理, 实例：X86的中断与异常机制, 系统调用机制, 实例：基于X86的Linux系统调用机制简介
进程的基本概念, 进程状态及状态转换, 进程控制, 关于进程相关概念的讨论, 线程的引入, 线程机制的实现
处理器调度的相关概念, 设计调度算法要考虑的几个问题, 批处理系统的调度算法, 交互式系统的调度算法, 多级反馈队列调度算法、各种调度算法小结等, Windows 的线程调度算法
进程的并发执行, 进程互斥, 进程互斥的软件解决方案, 进程互斥的硬件解决方案, 进程同步, 信号量及PV操作, 生产者消费者问题, 读者写者问题
管程的基本概念, HOARE管程, 管程的应用, MESA管程, PTHREAD中的同步机制, 进程间通信IPC, 典型操作系统中的IPC机制
基本概念-地址重定位, 物理内存管理, 伙伴系统, 基本内存管理方案1, 基本内存管理方案2, 交换技术
虚拟存储技术, 页表及页表项的设计, 地址转换过程及TLB的引入, 页错误(Page Fault), 软件相关策略, 页面置换算法1, 页面置换算法2-工作集算法, 其他相关技术
文件与文件系统, 文件的存储介质, 磁盘空间管理, 文件控制块及文件目录, 文件的物理结构, 文件系统的实现, 文件系统实例——UNIX
文件系统实例——FAT, 文件操作的实现, 文件系统的管理, 文件系统的安全性, 文件系统的性能1, 文件系统的性能2, 文件系统的性能3, 文件系统的两个练习
I/O管理概述, I/O硬件组成, I/O控制方式, I/O软件的组成, I/O相关技术, I/O设备管理, I/O性能问题
死锁的基本概念, 资源分配图, 死锁预防, 死锁避免, 银行家算法, 死锁检测与解除, 哲学家就餐问题
期末考试
Course: BigQuery Fundamentals for Oracle Professionals
Modules:
Getting Started with Google Cloud and Qwiklabs
BigQuery Data Definition Model
BigQuery and Google Cloud IAM
BigQuery Data Ingestion
BigQuery Schema Design and Optimization
SQL in BigQuery
Course: Queering the Schoolhouse: LGBTQ+ Inclusion for Educators
Modules:
Jacob McWilliams, PhD, Daryl Boyd, Suraj Uttamchandani, PhD, Gender Pronouns and Why They Matter
Allyship, Accomplices, and Advocates, What Queer Means To Me, Dr. Brenda J. Allen on Allyship, Building Your Ally Toolbox, Reflections On Privilege - Part 1, Reflections On Privilege - Part 2, Reflections On Privilege - Part 3, Reflections On Privilege - Part 4, Reflections On Privilege - Part 5, Back To The Ally Toolbox
History in Schools, Current Circumstances, Trans and Nonbinary Contemporary Experiences in School, Gender Policing, Reframing Bullying As a Systemic Issue, An LGBTQ+ Inclusion Scenario
Contemporary Practices in LGBTQ+ Inclusion, Gay Straight Alliance (GSA), School Policies, Never Stop Learning
Evaluating and Refining Your Curriculum, Reviewing Resources Based Approaches, A Case Study In LGBTQ+ Inclusion, The Additive Level of LGBTQ+ Inclusion, Transforming Your Curriculum, Working Toward a More Inclusive World
Designing Your Path, Asking Important Questions, Using Your Research To Guide Your Teaching, What's Next For LGBTQ+ Inclusion
Course: Linear Algebra: Orthogonality and Diagonalization
Modules:
Inner Product, Length, and Orthogonality, Orthogonal Sets of Vectors Video
Orthogonal Projections, Gram-Schmidt Process, Least-Squares Problems
Symmetric Matrices, Quadratic Forms
Orthogonality and Diagonalization