dipopotamus/custom_instruct_coursera_course_module_list huggingface dataset:
Course: Strategies for Converting and Retaining Customers Online
Modules:
Search Engine Marketing
Pay-Per-Click (PPC), Supplemental Resources, Search Engine Metrics
Microsites and Landing Pages
Building Customer Loyalty
Course: Lesson | Understand and Be Understood on the Phone
Modules:
Key Pronunciation - Can/Can't & Numbers
Course: AWS CloudTrail Getting Started
Modules:
Trails for AWS CloudTrail Getting Started
Course: Protecting Business Innovations via Strategy
Modules:
Welcome to Protecting Business Innovations!, 1.1 Course & week 1 overview, 1.2 Resource Based Strategy, 1.3 Economies of Scale, 1.4 Network Externalities, 1.5 Access to Resources, 1.6 Access to Markets & Customers, 1.7 Knowledge as Advantage, 1.8 Resource Based Strategy Summary
2.1 Move Fast or Get Passed Overview, 2.2 Continuous Innovation, 2.3 Intel vs AMD, 2.4 Franchising, 2.5 Alliances, Joint Venture & Licensing, 2.6 The Love-Hate Relationship, 2.7 International Strategy, 2.8 Tesla is Going Global, 2.9 Move Fast or Get Passed Summary
3.1 E-commerce Strategy Overview, 3.2 Global Cyber Law, 3.3 Mice & Elephants, 3.4 Contracts Online, 3.5 Terms & Conditions, 3.6 E-commerce Strategy Summary
4.1 Changing the Rules Overview, 4.2 Pricing Strategy, 4.3 Big Data & Analytics @ Capital One, 4.4 Most Profitable Song, 4.5 Pricing of Drugs, 4.6 Why no Coca-Cola at Pizza Hut?, 4.7 Changing the Rules Summary, 4.8 Course Summary
Course: Docker Fundamentals
Modules:
Course Introduction, Exam Details, Understand Docker, Differentiate Docker and Virtualization, DevOps and Docker, Containerization, Why Use Docker?, Microservices, Advantages of Microservices, Docker Architecture, Docker Engine, Components of Docker Engine, Docker Community Edition, Docker Enterprise Edition, Pricing of Docker CE and EE, Docker CE vs EE, Components for Docker Enterprise, Mirantis Products for Docker Enterprise
Course: 業務効率や生産性向上につながる時間管理
Modules:
1.1 生産的な仕事対非生産的な仕事, 1.2 業務計画を作成する
2.1 ワークライフバランスの神話, 2.2 時間はどれくらい経過しますか？
3.1 どれくらいかかりますか？, 3.2 コミュニケーションを管理する
4.1 Some Thoughts About Multitasking
Course: Teaching Impacts of Technology: Relationships
Modules:
Welcome to the course!, This is part of a specialization
Keeping Connected in a Mobile Society, In Your Experience, Your First Interactive Reading, Check Your Knowledge, Why Facebook?, Check Your Knowledge, Vicarious Lost Circles (if you didn't run it), Explore Your Circles of Friends (and tell us about it), Check Your Knowledge, What is Teacher Powerup?, Check Your Knowledge
Making Geography-Based Connections, Check Your Knowledge, Check Your Knowledge, Check Your Knowledge
Why Study: Impacts and Next Steps, K-12 CSTA Computer Science Standards, Check Your Knowledge, What makes "good" active learning?, The ICAP Framework, Scaffolding Interactivity Example: Peer Instruction, Peer Instruction for Impacts of Computing Lessons, Check Your Knowledge, Impacts: What we'll learn and how
Follow a lesson plan: As a student
Course: Getting Your Film off the Ground
Modules:
Introductory Video
Why Are We Starting With Grants?, General Advice for Documentary and Narrative Film Grants, Documentary Grant Applications, Narrative Film Grant Applications
Why Do You Need A Website and What Platform Should You Use?, What Information Should Your Website Include?, What Should Your Website Look Like?
Why You Need Social Media and How You Should Approach It?, Which Platforms Should You Use?, Creating a Newsletter, Getting Press for Your Film
Deciding Whether or Not to Crowdfund and Selecting Platforms, Getting Your Crowdfunding Campaign Ready to Go, Reaching out to Investors, Conclusion Video
Course: Genome Sequencing (Bioinformatics II)
Modules:
(Check Out Our Wacky Course Intro Video!), FIELD TRIP!, What Is Genome Sequencing?, Exploding Newspapers, The String Reconstruction Problem, String Reconstruction as a Hamiltonian Path Problem, String Reconstruction as an Eulerian Path Problem, Similar Problems with Different Fates
De Bruijn Graphs, Euler's Theorem, Assembling Read-Pairs, De Bruijn Graphs Face Harsh Realities of Assembly, Returning to Konigsberg
The Discovery of Antibiotics, How Do Bacteria Make Antibiotics?, Sequencing Antibiotics by Shattering Them into Pieces, A Brute Force Algorithm for Cyclopeptide Sequencing, Cyclopeptide Sequencing with Branch and Bound
Adapting Sequencing for Spectra with Errors, From 20 to More than 100 Amino Acids, The Spectral Convolution Saves the Day, The Truth About Spectra
Bioinformatics Application Challenge
Course: On Strategy : What Managers Can Learn from Philosophy - PART 1
Modules:
Introduction, Change : Parmenides or Heraclites ?, Two Types of Change : Perception and Reality, To Change is to Change Twice, Innovation vs Creativity, Not a Single Idea is Born Good, "Yes and…", Three kinds of new ideas
You can not Think About your Clients !, To Think is Like to Play : Playground, Rules,…, Concepts are Simplifications, Perfect Deduction, Possible. Perfect Induction, Impossible, The Power of Analogy and the Black Swan, Knowledge, Belief, Representation and Idea
Everything is Connected, Mathematics, Astronomy, Paradoxes, Leibniz’s Dream, The Fifth Discipline, The Mind and the Machine
Four Key Definitions, Philosophy is also About Models, Models in Psychology, Optical Illusions and Brain Teasers, Paradox, Ambiguity
Leader or Follower, Cognitive Bias in Deduction, Cognitive Bias in Induction, Test your Creativity, Test your Creativity (cont’d), Constraint and Creativity
What’s the Box ?, You can’t Think Without Boxes, Strategic Vision and Scenarios, Megatrends, Scenarios, Creativity is mostly about passion
The end of..., You need a fixed point, Philosophy as a fixed point, Two first challenges, Another center of gravity, The four causes of Aristotle, 'A thus B' or 'A and B'
Four types of tools, The disappointing equation, A third example: Big Data, The end of Science?, Question what is in front of you, Who is the tool of who?
Use the right words, Use criteria, Beware the question, Use creativity techniques, Think visual, Never stop thinking, Embrace humor
Course: Science of Firearm Injury Prevention Among Children & Teens
Modules:
Welcome to the Science of Firearm Safety MOOC & Framing Firearm Injury Prevention Research, Overall Trends in Firearm Injury and Death, Disparities in Firearm Injury and Death, Guns and Bullets: Understanding the Pathophysiology of this Disease, Theoretical Models, Applying Theories in the Field, Overview of Risk and Protective Factors, Research Designs, Developing New Prevention Strategies, Prevention of Firearm Injury and Mortality, Types of Youth Exposures to Firearm Injury, Firearm Laws in the US, Basics of Firearm Policy Analysis, Using Technology to Identify and Mitigate the Effects of Firearm Injury, Research Principles & Platforms for Investigating Firearm Injuries & Deaths
Key Methods for Understanding Risk Factors for Suicide Deaths, Firearms and the COVID-19 Pandemic, Suicide Risk Screening, Firearms and Suicide in the United States, Safe Storage & Community Education, Primary Prevention of Suicide: Gatekeeper Training, Education, and Awareness, Child Access Prevention Laws, Extreme Risk Protection Orders, and Suicide Prevention
Key Methodologies: Use of Administrative Data & Electronic Health Record Data, Safe Storage to Reduce Unintentional Firearm Injury, Universal Strategies for Prevention in Healthcare Settings involving Physicians, Healthcare Providers, and Caregivers, Educational Strategies around Safe Handling of Firearms, Stakeholder Spotlight, Child Access Prevention Laws and Unintentional Injury
Risk and Protective Factors for Community Violence, Key Methodologies: Place-Based Analysis, Key Methodologies: GIS and the Built Environment, Firearm-related Hate Crimes among Young Gender and Sexual Minorities of Color, Firearms and Hate Crimes towards Asian Americans, Universal Behavioral Intervention Programs, Firearm Buyback Programs: Effects on Community Violence, Environmental Designs, Community Exposure to Violence and Trauma-Informed Care, Community-Level Interventions to Reduce Firearm Homicide and Retaliation, Stakeholder Spotlight - Tia Bell of the TRIGGER Project, Challenges to Implementation
Risk and Protective Factors, Children and Teen Victims in Intimate Partner Homicide: Disparities and Equity Issues, Extreme Risk Protection Orders and IPV  & Domestic Violence Restraining Order Firearm Restriction Laws and Their Estimated Effects, Firearm Restrictions for Misdemeanor Convictions for Violence
Definitions, Populations Affected, and Disparities, Schools and Intentional Shootings: Risk and Protective Factors, School and Community, Gun Violence Prevention Strategies: Implications for Children and Schools, Implications of Safety Strategies for a School’s Climate, Child Health, and Learning Outcomes, Extreme Risk Protection Orders and Threats of Mass Shootings
Factors Associated with Police Use of Deadly Force
Course: Object-Oriented Programming and GUI with Python
Modules:
Introduction to the Course, Using Objects and Classes in Python, Part 1, Using Objects and Classes in Python, Part 2, Using Objects and Classes in Python, Part 3
Setting up Inheritance in Python, Configuring Inheritance Implementation in Python, Using Polymorphism in Python, Polymorphism Demo
Building a Graphical User Interface with Tkinter, Part 1, Building a Graphical User Interface with Tkinter, Part 2, Creating Widgets in Python, Demo for Widgets, How to Create Shapes in Python, Handling Events in Python, Handling Events Demo, Course Review
Course: Fundamentals of Marketing
Modules:
Welcome to the Course, What is Marketing?, Working with Markets, What is segmentation?, Basic Segmentation: Geographics, Basic Segmentation: Demographics, Advanced Segmentation, Targeting and Positioning
The Marketing Mix, What is a product?, The Product Life Cycle, The BCG Matrix, Maslow's Hierarchy of Needs
What is price?, The value formula, Benchmarking, Pricing Strategies
What is place?, The role of the physical store, The shopper trip, E-Commerce and Social Media, Online Strategies
What is promotion?, The Promotional Mix, The Online Marketing Funnel, Guerilla Marketing, Wrap-up of the course
Course: Node.js & MongoDB: Developing Back-end Database Applications
Modules:
Course Introduction, Introduction to Data and Databases, Relational Databases, Relational Data Concepts, Non-relational Databases, Overview of NoSQL, Characteristics of NoSQL Databases, Getting started with MongoDB
NoSQL Databases with Node, Manipulating Data with MongoDB, Querying Data with MongoDB, Introduction to Authentication and Authorization, Implementing User Registration and Login Functionality, Secure Password Storage and Authorization, Handling User Sessions and Cookies
Introduction to RESTful APIs, Building a RESTful API with Express, Versioning and Pagination in RESTful APIs, Implementing CRUD Operations in RESTful APIs, Authentication and Authorization in Node, Securing RESTful APIs with JWT
Introduction to Error Handling in Node, Custom Error Handling Middleware, Asynchronous Error Handling in Node, Request Validation and Sanitization, Rate Limiting and Throttling Requests, Logging and Debugging Node Applications
File Uploads and Handling in Node, Deploying Node Applications, Best Practices for Backend Development, Scaling Node Applications, Load Balancing and High Availability
Congratulations and Next Steps, Thanks from the Course Team
Course: Initiating and Planning Projects
Modules:
Course Overview, Course Survey
2.1 Lecture, 2.3 Case Study, Bonus Video: Deciphering the PMBOK® Guide
3.1 Lecture, 3.3 Case Study, Bonus Video: A Stakeholder Story
4.1 Lecture, 4.3 Case Study, Bonus Video: WBS - We Build Strength
5.1 Lecture, 5.3 Case Study, Bonus Video: Productive Conflict
Panelist Interview
Course: Introduction to Semiconductor Packaging
Modules:
Overview: Welcome to Introduction to Semiconductor Packaging
Lecture Video: Nanoelectronics
Lecture Video: What is Packaging? Part 1
Lecture Video: What is Packaging? Part 2
Lecture Video: Anatomy of a Package Part 1
Lecture Video: Anatomy of a Package Part 2
Lecture Video: Anatomy of a Package Part 3
Lecture Video: Anatomy of a Package Part 4
End of Course Summary
Course: Java Testing: An Introduction to TDD
Modules:
Instructor Introduction, TDD With JUnit5, TDD?, TDD Benefits, Lab 1, Lab 1 Walkthrough
TDD Best Practices, TDD Practices cont., TDD Metaphors, Lab 2 Walkthrough
Course: Software Development on SAP HANA
Modules:
Course introduction, Definition and features of SAP S/4HANA, SAP ECC and SAP S/4 HANA on-premise versus cloud, SAP S/4HANA architecture overview, Standout features of S/4HANA database
Introduction to data modeling, Data modeling objects and privileges, SAP S/4HANA development tools, Extract, transform, and load (ETL)
Design SAP enterprise structure, Fiori apps, Statutory reporting in SAP S/4HANA, Implementation: Activate methodology, Migration and conversions
Course: Fundamentos do Suporte Técnico
Modules:
Introdução ao programa, O que é TI?, O que um especialista em suporte de TI faz?, Introdução ao curso, Do ábaco à máquina analítica, O caminho até os computadores modernos, Kevin: a carreira dele, Linguagens de computador, Codificação de caracteres, Números binários, Como contar em números binários, Abstração, Informações gerais sobre a arquitetura de computadores, Kevin: conselhos para o mundo da TI
Introdução ao módulo, Introdução ao hardware de computador, Programas, CPU e memória, Joe: diversidade em TI, CPU, RAM, Placas-mãe, Armazenamento físico: discos rígidos, Fontes de alimentação, Dispositivos móveis, Baterias e sistemas de carregamento, Periféricos e portas, BIOS, Ben: as habilidades de profissionais de TI, Juntando tudo, parte I: como instalar o processador, Juntando tudo, parte II, Juntando tudo, parte III, Reparo de dispositivos móveis, Um programa, muitos futuros
Introdução ao módulo, Componentes de um sistema operacional, Arquivos e sistemas de arquivos, Gerenciamento de processos, Gerenciamento de memória e memória virtual, Gerenciamento de E/S, Interagindo com o SO: espaço do usuário, Registros, O processo de inicialização, Sistemas operacionais para dispositivos móveis, Cindy: o que a impulsiona e a carreira dela, Como escolher um sistema operacional, Máquinas virtuais, Como instalar o Windows 10, Como instalar o Linux, O que é o ChromeOS?, Mac OS, Tri Ngo: obstáculos e como ter sucesso em TI, Introdução ao Qwiklabs
Introdução ao módulo, Fundamentos das redes, Hardware de rede, TCP/IP, A Web, Victor: primeiras experiências profissionais, A história da Internet, Limitações da Internet, Troca de carreira, Impacto, Internet das Coisas, Gian: o que ele faz na segurança do Android, Privacidade e segurança, Heather Adkins: afastando os hackers, História de aprendizado: Melinda
Introdução ao módulo, Como os softwares são criados: codificação, scripting e programação, Tipos de software, Voltando à abstração, Receitas para computação, Phelan: aprendendo TI na Marinha dos EUA, Como gerenciar software, Como instalar, atualizar e remover software no Windows, Como instalar, atualizar e remover software no Linux, Automação de software
Introdução ao módulo, Faça perguntas!, Como isolar o problema, Siga os rastros dos cookies, Começar com a etapa mais rápida, Armadilhas da solução de problemas para evitar, Amir: atributos de um ambiente de suporte de TI, Introdução às habilidades interpessoais, Anatomia de uma interação, Como lidar com situações difíceis, parte I, Como lidar com situações difíceis, parte II, Sistemas de tíquetes e como documentar seu trabalho, Documentação de processos, Documentação em sistemas de tíquetes, Sua oportunidade de ter sucesso, Como se destacar na multidão, Como se preparar para a entrevista, O que esperar durante uma entrevista técnica, Como mostrar sua melhor versão durante a entrevista, Simulação de entrevista: atendimento ao cliente, Conclusão do curso, Sabrina: a tecnologia pode abrir portas, Parabéns!
Course: The Emergence of Oncofertility (Past, Present & Future)
Modules:
Preface, Lesson 1a: The Oncofertility Field, Lesson 1b: The Oncofertility Field, Oncofertility Patient's Story: Meet Jenna, Oncofertility Patient's Story: Meet Abby, Oncofertility Patient's Story: Meet Matt, Lesson 2: The Oncofertility Consortium (OC)
Course: 中國園林文學 (二) (Chinese Garden Literature (2))
Modules:
歡迎來到中國園林文學 (二), 1-1：第1~3週 「蘇舜欽和滄浪亭」前言, 1-2：明日之星的崛起, 1-3：進奏院事件, 1-4：吳天搖落的無奈, 1-5：發現廢園的轉折
2-1：發現隱蔽之美的文學傳統, 2-2：「滄浪」的兩種詮釋角度, 2-3：自勝之道的思考, 2-4：滄浪亭的園居生活
3-1：歐陽脩的友情評論, 3-2：滄浪亭的易主與重修, 3-3：園景的刮除與重寫, 3-4：第1~3週 「蘇舜欽和滄浪亭」結語
4-1：第4~6週「祁彪佳和寓山園林」前言, 4-2：多面向的文人, 4-3：家鄉風景的凝視, 4-4：結廬之志的萌芽, 4-5：主觀性原則的實踐
5-1：寓山園林的景象結構, 5-2：寓山園林中的人事活動, 5-3：寓山與分景命名, 5-4：為寓山作注, 5-5：書寫審美經驗與情志
6-1：「寓」意的詮釋, 6-2：建構文本空間——《寓山志》, 6-3：寓山中的生命實踐, 6-4：第4~6週 「祁彪佳和寓山園林」結語：走過異代
7-1：第7~9週 「汪汝謙和不繫園」前言, 7-2：公共園林西湖的開發, 7-3：明人遊湖方式, 7-4：改良式樓船的出現
8-1：一痕輕葉的「遊湖之舟」, 8-2：雅會幽居的「居園之庵」, 8-3：晚明文士的「以意為園」, 8-4：汪汝謙的「意在之園」
9-1：汪汝謙的公共建設, 9-2：結集西湖的文士才女, 9-3：不繫舟的雙重意涵, 9-4：不繫園的超越性與侷限性, 9-5：第7~9週 「汪汝謙和不繫園」結語：錢謙益的見證
第十週 「中國園林文學 (二)」期末評量
Course: Data and Urban Governance
Modules:
General course introduction, Introduction to the session: When data comes to town, Data: Socio-technical infrastructures, Consensus, then measurement, The political stakes of urban reductionism, Data and the reconfiguration of power, The semantic power of public institutions is challenged, Interview with Pierre Emmanuel Brunet - Rouen Respire
The city versus the digital economy, From the sharing economy to digital labor, Creating the smart cities market, Interview with Vincent Vendenberge - Engie Digital, The platform model: The algorithm as middleman
Introduction to the session: Data and local administration, Understanding and implementing open data, Data and local governments, Interview with Martha Norrick - MODA - NY Analytics, Data-driven local policies and the reconfiguration of relationships between governments and the people and territories they govern
Digital footprints, algorithmic governmentality, and the safe city, GDPR and the protection of personal data, Governing the city with algorithms: What’s the difference?, Institutional, commercial, and citizen surveillance
Course: Learn React: Build a Movie Search App
Modules:
Create a Movie Search Tool in React Assignment
Course: Evaluating Designs with Users
Modules:
Introduction to User Testing, Types of Tests, What To Look For, What You Learn
Recruiting Test Participants, Task Design, Think Aloud, Some Practical Challenges
Questionnaires, Interview Data, Moderating
Observing User Tests, Analysis and Reporting
Example User Test
Course: Proyecto final sobre la aplicación para iOS
Modules:
Introducción al curso, Configuración del proyecto, Planificación de la UX (user experience, experiencia de usuario) y de la UI (user interface, interfaz de usuario), Resumen del módulo: Principios de la UX y la UI
Flujo de incorporación, Flujo de usuarios de pedidos de comida, Resumen del módulo: Funcionalidad del proyecto
Resumen del curso para el proyecto final, Proceso de envío a la App Store, Preparación de la aplicación para el envío, Crear y probar su aplicación, ¡Felicidades, ha completado el proyecto final!
Course: Systems Science and Obesity
Modules:
Welcome to the Course, Obesity, The Facts of the Case (Or Why Obesity Pushes Our Buttons) - Tom Glass, Beyond the Usual Suspect: Why This Case Is Hard To Crack, Explanations: The Food Supply, A System of Interest, Obesity in Human Populations Through a Systems Science Lens  - Tom Glass, Taking a Systems Perspective: 5 Key Features, What is so "Systemy" About Obesity?
What Is a Complex System?, Nuts and Bolts of System Dynamics Models, Developing a Stock and Flow Model, Policy Resistance, Coding tutorial for systems dynamics model, From stock and flow diagram to developing a SD model in Vensim
What Are Social Networks?, Social Network Analysis, Obesity & Social Networks, Neighborhoods  and Noshing: Foraging and the Food Environment, Why Should We Care About Neighborhoods for a Systems Science of Obesity, Foraging Theory: A Unifying Framework?, Lecture 6: What's price (and income) got to do with it?, Less money, more problems?, Taxman: Can Price Manipulations Be Used to Promote Healthful Eating
Agent-based modeling: A simpler way to understand complexity, Why agent-based modeling?, Development of a Simple Model with Environment, Peer Networks, and Agent Behaviors, Food Foraging ABM:Embedded in a GIS-Based Environment, Lab 2 Part 1: Tutorial on building ABMs in Netlogo environment, Lab 2 Part 2: ABM for Food Store; Food Foraging ABM, Lab 2 Part 3: Income-Diet model example with extensions, Congratulations!
Course: Python Data Representations
Modules:
Welcome!, Class Structure, Python Strings, Indexing Strings, Searching Strings, Slicing Strings, Answering Common Python Questions
Lists, List Indexing and Slicing, Splitting and Joining Strings, List Searching, Iteration over Lists, Using Thonny's Debugger, Debugging an Example Program
List Mutation, Tuples, Objects and References, Understanding List References, Diagnosing List Reference Issues
Opening and Reading Files, Reading Files using Iteration, Writing Files, Working with File Paths, Project Video
Course: 컨볼루션 신경망
Modules:
컴퓨터 시각 인식, 엣지 감지 예, 더 많은 엣지 감지, 패딩, 스트라이드 컨볼루션, 볼륨에 대한 컨볼루션, 컨볼루션 네트워크의 한 레이어, 간단한 컨볼루션 네트워크 예제, 풀링 레이어, CNN 예제, 왜 컨볼루션일까요?, Yann LeCun 인터뷰
사례 연구를 살펴보는 이유는 무엇입니까?, 기존 네트워크, ResNet, ResNet이 효과적인 이유, Network in Network와 1x1 컨볼루션, Inception Network 동기 부여, Inception Network, MobileNet, MobileNet 아키텍처, EfficientNet, 오픈 소스 구현 사용, 전이 학습, 데이터 증강, 컴퓨터 시각 인식 상태
객체 현지화, 랜드마크 감지, 객체 감지, 슬라이딩 윈도우의 컨볼루션 구현, 경계 상자 예측, 합집합에 대한 교집합, NMS(Non-max Suppression), 앵커 상자, YOLO 알고리즘, 지역 제안(선택 사항), U-Net을 사용한 시맨틱 세그멘테이션, 전치 컨볼루션, U-Net 아키텍처 직관, U-Net 아키텍처
얼굴 인식이란 무엇입니까?, 원샷 학습, 샴 네트워크, 삼중항 손실, 얼굴 인증 및 이진 분류, Neural Style Transfer란 무엇입니까?, 심층 ConvNet 학습이란 무엇입니까?, 비용 함수, 콘텐츠 비용 함수, 스타일 비용 함수, 1D 및 3D 일반화
Course: Introduction to Responsible AI - Español
Modules:
Introducción a la IA responsable
Course: Introduction to Statistical Analysis:  Hypothesis Testing
Modules:
Welcome and Meet the Instructor, Demo: Exploring Ames Housing Data
Overview, Statistical Modeling: Types of Variables, Overview of Models, Explanatory versus Predictive Modeling, Population Parameters and Sample Statistics, Normal (Gaussian) Distribution, Standard Error of the Mean, Confidence Intervals, Statistical Hypothesis Test, p-Value: Effect Size and Sample Size Influence, Scenario, Performing a t Test, Demo: Performing a One-Sample t Test Using PROC TTEST, Scenario, Assumptions for the Two-Sample t Test, Testing for Equal and Unequal Variances, Demo: Performing a Two-Sample t Test Using PROC TTEST
Overview, Scenario, Identifying Associations in ANOVA with Box Plots, Demo: Exploring Associations Using PROC SGPLOT, Identifying Associations in Linear Regression with Scatter Plots, Demo: Exploring Associations Using PROC SGSCATTER, Scenario, The ANOVA Hypothesis, Partitioning Variability in ANOVA, Coefficient of Determination, F Statistic and Critical Values, The ANOVA Model, Demo: Performing a One-Way ANOVA Using PROC GLM, Scenario, Multiple Comparison Methods, Tukey's and Dunnett's Multiple Comparison Methods, Diffograms and Control Plots, Demo: Performing a Post Hoc Pairwise Comparison Using PROC GLM, Scenario, Using Correlation to Measure Relationships between Continuous Variables, Hypothesis Testing for a Correlation, Avoiding Common Errors When Interpreting Correlations, Demo: Producing Correlation Statistics and Scatter Plots Using PROC CORR, Scenario, The Simple Linear Regression Model, How SAS Performs Simple Linear Regression, Comparing the Regression Model to a Baseline Model, Hypothesis Testing and Assumptions for Linear Regression, Demo: Performing Simple Linear Regression Using PROC REG
Overview, Scenario, Applying the Two-Way ANOVA Model, Demo: Performing a Two-Way ANOVA Using PROC GLM, Interactions, Demo: Performing a Two-Way ANOVA With an Interaction Using PROC GLM, Demo: Performing Post-Processing Analysis Using PROC PLM, Scenario, The Multiple Linear Regression Model, Hypothesis Testing for Multiple Regression, Multiple Linear Regression versus Simple Linear Regression, Adjusted R-Square, Demo: Fitting a Multiple Linear Regression Model Using PROC REG
Course: Feminism and Social Justice
Modules:
Introduction to "Feminism & Social Justice", Defining Feminism
Salt of the Earth (1954) (Entire Film), Salt of the Earth
Free Angela!
#metoo
Book Talk
Course: Calculus through Data & Modelling: Series and Integration
Modules:
Sequences, Series, Examples Determining Convergence and Divergence of Series
Areas Under Curves, Area Under a Line, Finding Distances, The Definite Integral, Properties of the Definite Integral
The Fundamental Theorem of Calculus, Part 1, The Fundamental Theorem of Calculus, Part 2
Indefinite Integrals, Worked Examples, A Calc I/II Problem, The Substitution Rule, Definite Integrals of Symmetric Functions
Tables of Integrals
Course: Text Retrieval and Search Engines
Modules:
Course Welcome Video, Course Introduction Video
Lesson 1.1: Natural Language Content Analysis, Lesson 1.2: Text Access, Lesson 1.3: Text Retrieval Problem, Lesson 1.4: Overview of Text Retrieval Methods, Lesson 1.5: Vector Space Model - Basic Idea, Lesson 1.6: Vector Space Retrieval Model - Simplest Instantiation
Lesson 2.1: Vector Space Model - Improved Instantiation, Lesson 2.2: TF Transformation, Lesson 2.3: Doc Length Normalization, Lesson 2.4: Implementation of TR Systems, Lesson 2.5: System Implementation - Inverted Index Construction, Lesson 2.6: System Implementation - Fast Search
Lesson 3.1: Evaluation of TR Systems, Lesson 3.2: Evaluation of TR Systems - Basic Measures, Lesson 3.3: Evaluation of TR Systems - Evaluating Ranked Lists - Part 1, Lesson 3.4: Evaluation of TR Systems - Evaluating Ranked Lists - Part 2, Lesson 3.5: Evaluation of TR Systems - Multi-Level Judgements, Lesson 3.6: Evaluation of TR Systems - Practical Issues
Lesson 4.1: Probabilistic Retrieval Model - Basic Idea, Lesson 4.2: Statistical Language Model, Lesson 4.3: Query Likelihood Retrieval Function, Lesson 4.4: Statistical Language Model - Part 1, Lesson 4.5: Statistical Language Model - Part 2, Lesson 4.6: Smoothing Methods - Part 1, Lesson 4.7: Smoothing Methods - Part 2
Lesson 5.1: Feedback in Text Retrieval, Lesson 5.2: Feedback in Vector Space Model - Rocchio, Lesson 5.3: Feedback in Text Retrieval - Feedback in LM, Lesson 5.4: Web Search: Introduction & Web Crawler, Lesson 5.5: Web Indexing, Lesson 5.6: Link Analysis - Part 1, Lesson 5.7: Link Analysis - Part 2, Lesson 5.8: Link Analysis - Part 3
Lesson 6.1: Learning to Rank - Part 1, Lesson 6.2: Learning to Rank - Part 2, Lesson 6.3: Learning to Rank - Part 3, Lesson 6.4: Future of Web Search, Lesson 6.5: Recommender Systems: Content-Based Filtering - Part 1, Lesson 6.6:  Recommender Systems: Content-Based Filtering - Part 2, Lesson 6.7: Recommender Systems: Collaborative Filtering - Part 1, Lesson 6.8: Recommender Systems: Collaborative Filtering - Part 2, Lesson 6.9: Recommender Systems: Collaborative Filtering - Part 3, Lesson 6.10: Course Summary
Course: Successful Presentation
Modules:
Welcome to Effective Communication (For New Learners), What’s so Great About the Capstone? (For New Learners), Welcome to Successful Presentation, Understanding Fear, The Code Rule: Survival Reactions, The Paradox of Public Speaking, We've All Felt Fear, Successful Presentation is Storytelling, Stories and Storytellers, Performance
The Basic Formula, The Secret Ingredient: Creativity, What Is Creativity?, The Central Importance of the Introduction, The Introduction: The Salutation, The Introduction: The Review of the Structure, The Introduction: The One Compelling Point, Kuskin Receives His Assignment for Coursera Presentation, Intro: The Modular Content Unit, Pushing Each Unit (Thinking in Circles), Building Transitions, How Do You Push Yourself?, The Conclusion, The Entire Talk Is a Circle
Dynamic vs. Static (Getting into Your Brand), You Are Your Own Harshest Critic, The Reverse Outline, Rehearsing the Introduction, Passion in a Bottle, Hearing Your Language, Marking Your Script, Recognizing Your Body, Using Your Body, The Importance of Stance
Anticipating the Field of Play, A Chaucerian Interlude, Attending to Your Audience, Slides vs Handouts, What Is a Question?, Being Soft, Avery's Demo Presentation: "Frankenstein and Science", Building a Public Portfolio from the Private Self, The Paradox of the Public Self, Effective Communication
Course: Lesson | Get Ready for the Interview
Modules:
First Impressions: Body Language
Course: Balance Sheet and Business Cases
Modules:
Meet your Instructor
Balance Sheet, Case Solution - Exercise 1, Case Study Solution - Exercise 2
Income Statement, Case Study Solution - Exercise 1, Case Study Solution - Exercise 2
Course: Connecter et protéger : réseaux et sécurité des réseaux
Modules:
Introduction au cours 3, Bienvenue dans la semaine 1, Chris : mon parcours professionnel, Que sont les réseaux ?, Outils réseau, Réseaux cloud, Introduction à la communication réseau, Le modèle TCP/IP, Les quatre couches du modèle TCP/IP, Adresses IP et communication réseau, Récapitulatif
Bienvenue dans la semaine 2, Protocoles réseau, Protocoles sans fil, Pare-feux et mesures de sécurité réseau, Réseaux privés virtuels (VPN - Virtual Private Network), Zones de sécurité, Serveurs proxy, Récapitulatif
Bienvenue dans la semaine 3, L'intérêt de sécuriser les réseaux, Attaques par déni de service (DoS), Reniflage de paquets malveillants, Usurpation d'adresse IP, Récapitulatif
Bienvenue dans la semaine 4, Le renforcement de la sécurité, Les pratiques de renforcement des systèmes d'exploitation, Les pratiques de renforcement du réseau, La sécurité réseau dans le cloud, Kelsey : une explication de la sécurité cloud, Récapitulatif, Récapitulatif du cours
Course: Coding with Generative AI
Modules:
Course introduction, What is GenAI?, What is python?, Working with Jupyter notebooks, Generative models, Code generation with GenAI
Generate code more quickly and efficiently, 2-dimensional array to one dimensional array, Implement functions and classes, Procedural code into object-oriented code, Explain and fix syntax errors, Suggest code correction to fix syntax errors
Course: Big data and Language 2
Modules:
Lemmas, Keyness of Word, Collocations, N-grams, POS Parser
BNC - Information, BNC - Function I, BNC – Function II, BNC - Task, Student Presentation Samples: BNC
COCA - Information, COCA - Task, AntConc, TagAnt, PM and Ratio
Big Data for Different Languages, Limitations of Big Data, Future directions of Big Data, Project Guideline and Peer Review, Student Presentation Samples
Final project peer review
Course: Liderazgo e innovación
Modules:
Presentación general del curso, Liderazgo adaptativo, Liderazgo transformador, Liderazgo participativo, Liderazgo resiliente
El Agua, Electricidad, Reciclabilidad, Tercera edad y discapacidad, Discapacidad, Liderazgo resiliente: minorías y género, Salud y atención médica, Impacto en negocios
Creatividad, Inter, multi y transdisciplinariedad, Búsqueda de soluciones, Solución de problemas basada en Design Thinking, Ingeniería concurrente, Industria 4.0, Manufactura aditiva
Course: Biostatistics Study Design and Analysis for Grant Writing
Modules:
Introduction to Biostatistics Study Design and Analysis, Primary vs Secondary Data Collection, Experimental vs Observational, Cross-sectional vs Longitudinal, Project Scope (Part 1), Project Scope (Part 2), BONUS interview: Studying Change
Outcome or Left Hand Side Variables, Predictors or Right Hand Side Variables, Covariate Adjustment, Mediators and Moderators, BONUS Interview: Key Variable Types, BONUS Interview: Exploratory Analyses, BONUS Interview: Outcome Variable Pitfalls, BONUS Interview: Outcomes for Military Medical Research
Readiness to Write an Analysis Plan, Structure of Data Analysis Plan, Length and Depth of Analysis Plans, BONUS Interview: Conceptual Model Shapes Analysis Plan
5 Main Components to Statistical Power Analysis, Solving for Sample Size, How the Components Work Together, When Sample Size is Known, Calculations, Assumptions, and Results, Power Analysis Summary, Effect Size Primer
Types of Statistical Support, How to Find a Statistician, Biostatistics Training in Career Development Grant Proposals, Biostatistics Mentorship in Career Development Proposals
Course: Fundamental Rights Impact Assessment for GenAI Projects
Modules:
Introduction to the Course and Instructor
Introduction to FRIAs, The Necessity of FRIAs in the AI Ecosystem, Introduction to the Regulatory Landscape: EU AI Act, EU AI Act: FRIA and High-Risk AI Deployment
Understanding GenAI Systems, Analyzing Criteria for FRIA Necessity
FRIA in Practice: A GenAI Use Case, Performing a FRIA: Part 1, Performing a FRIA: Part 2
Course: Foundations of Music Promotion & Branding
Modules:
Welcome from Recording Academy® CEO Harvey Mason Jr., Welcome to Foundations of Music Promotion & Branding, Brand Identity, Audiences Connect with Brands, 10-time GRAMMY® nominee Janelle Monáe Explores Brand Identity, What Exemplary Brands Look Like, The Importance of Authenticity, Three-time GRAMMY® winner Victoria Monét Considers The Importance of Authenticity, Crafting an Authentic Brand Identity
Visual References in Brand Building, Five-time GRAMMY® winner Jimmy Jam Shares How He Built His Brand and Image, Mood Boards, Importance of Feedback, Five-time GRAMMY® winner Jimmy Jam Talks Getting and Using Feedback, Crafting an Improvement Plan
The Importance of Understanding Your Audience, Audience Persona
Goals for Growth, Audience Development Milestones, Five-time GRAMMY® winner Jimmy Jam Urges You to Come Prepared, Documenting Your Audience Growth Journey, What’s Next
Course: L'art des structures 1 : Câbles et arcs
Modules:
101 Présentation du cours, 120 Gravitation universelle, 140 Types de charges sur les structures, 150 Equilibre et sous-système, 160 Efforts et contraintes, 180 Applet i-Cremona
200 Introduction, 210 Ressorts, rigidité, module d'élasticité, 220 Propriétés des matériaux, 240 Dimensionnement
310 Résultante de deux forces concourantes, 320 Equilibre de trois forces, 330 Frottement, 350 Tir à la corde, 360 Equilibre de trois forces : résolution avec i-Cremona
400 Les câbles, 410 Câble avec une charge centrée, 430 Câble avec une charge excentrée, 450 Câble avec une charge : résolution avec i-Cremona
470 Câble avec deux charges symétriques, 480 Câble avec deux charges inégales, 485 Méthode du câble auxiliaire
510 Câble avec charges réparties, 520 Parabole et chaînette, 530 Rigidification des câbles, 535 Systèmes de prétension, 540 Conception d'une membrane avec i-Cremona
Examen intermédiaire
600 Les arcs, 610 Forme et stabilité des arcs, 630 Rigidification des arcs, 650 Articulations des arcs, 660 Poussée et ligne des pressions
710 Arcs-et-câbles, 715 Variations sur les arcs-et-câbles, 725 Papeterie Burgo, 720 Structures haubanées, 730 Forces aux appuis - arc-et-câble auxilaire
Examen final
Course: Segmenting the Market with Jagdish Sheth
Modules:
Course Intro, Segmenting the Market - 01, Segmenting the Market - 02, Segmenting the Market - 03, Segmenting the Market - 04, Segmenting the Market - 05, Segmenting the Market - 06, Segmenting the Market - 07, Segmenting the Market - 08, Segmenting the Market - 09, Segmenting the Market - 10, Segmenting the Market - 11, Segmenting the Market - 12, Segmenting the Market - 13, Segmenting the Market - 14, Segmenting the Market - 15, Segmenting the Market - 16, Segmenting the Market - 17, Segmenting the Market - 18
Seven Ways to Differentiate in Marketing - 01, Seven Ways to Differentiate in Marketing - 02, Seven Ways to Differentiate in Marketing - 03, Seven Ways to Differentiate in Marketing - 04, Seven Ways to Differentiate in Marketing - 05, Seven Ways to Differentiate in Marketing - 06, Seven Ways to Differentiate in Marketing - 07, Seven Ways to Differentiate in Marketing - 08, Seven Ways to Differentiate in Marketing - 09
Positioning: Key to Successful Marketing - 01, Positioning: Key to Successful Marketing - 02, Positioning: Key to Successful Marketing - 03, Positioning: Key to Successful Marketing - 04, Positioning: Key to Successful Marketing - 05, Positioning: Key to Successful Marketing - 06, Positioning: Key to Successful Marketing - 07, Positioning: Key to Successful Marketing - 08, Positioning: Key to Successful Marketing - 09, Positioning: Key to Successful Marketing - 10
Course: Fundamentals of Data Warehousing
Modules:
Course Introduction And Objectives, Module Introduction And Objectives, Introduction To Subject-Oriented, Subject-Oriented In Your Reading, Introduction To Integrated, Integrated In Your Reading, Introduction To Time-Variant, Time-Variant In Your Reading, Introduction To Nonvolatile, Nonvolatile In Your Reading, Module 1 Summary
Module Introduction And Objectives, Introduction To Database Structures, Database Structures In Your Reading, Introduction To ETL and ELT, ETL and ELT In Your Reading, Introduction To Metadata, Metadata In Your Reading, Introduction To Tools, Tools In Your Reading, Hands-On Demonstration, Module 2 Summary
Module Introduction And Objectives, Introduction To Design Approach, Design Approach In Your Reading, Introduction To Single Tier Architecture, Single Tier Architecture In Your Reading, Introduction To Two Tier Architecture, Two Tier Architecture In Your Reading, Introduction To Three Tier Architecture, Three Tier Architecture In Your Reading, Module 3 Summary
Course: Communicating During Global Emergencies
Modules:
Welcome to the Course!, CERC and How Communicating During a Crisis Is Different, Six Principles, Message and Audience, Wrap-Up
Welcome to Week 2!, Including Communication in Emergencies, Process of Emergency Risk Communications Planning, Applying Your Emergency Risk Communications Plan, Wrap-Up
Welcome to Week 3!, Transparency and First Announcement, Communication Coordination, Listening Through Dialogue, Information Dissemination, Wrap-Up
Course: Impact from Digital Transformation: Full course
Modules:
When and how it all started, Messy times, messy actions
The ones deciding in the end, Several parameters at the same time needed, More on the combination lock
It shook up the whole Eco-system, What we can actually know about technology, What is already going on in Australia?, There is nothing as practical as a good theory, In search of the beginning, How preferences gradually change, Sometimes postcards are useful, Molding it together with the help of Sequential Backcasting, Some more on targets
Now we can decide on what to do, What the "other ones" might do, Combine Leadership and Digital Transformation, and then..., Tools for decision-making, Knowing how to act strategically smart during disruptive times
Comparing apples and fridges, Is it possible to just cling on?, Why it can be stable enough - for us
The spectrum of possibilites that only you can see now, Don´t tell this story to someone else because it is valuable
Course: Architecting with Google Kubernetes Engine: Foundations 한국어
Modules:
과정 소개 기초
소개, 클라우드 컴퓨팅과 Google Cloud, 리소스 관리, 청구, Google Cloud와 상호작용, 실습 소개, Coursera: Google Cloud 및 Qwiklabs 시작하기, 실습 솔루션, 요약
소개, 컨테이너 소개, 컨테이너 및 컨테이너 이미지, 실습 소개, 실습 솔루션, Kubernetes 소개, Google Kubernetes Engine 소개, 컴퓨팅 옵션 세부정보, 요약
소개, Kubernetes 개념, Kubernetes 제어 영역, Google Kubernetes Engine 개념, Kubernetes 객체 관리, 실습 소개, 실습 솔루션, Migrate for Anthos 소개, Migrate for Anthos 소개, 마이그레이션 경로, Migrate for Anthos 설치, 요약
Course: Launching into Machine Learning en Español
Modules:
Introducción al curso
Introducción, Mejora la calidad de los datos, Coursera: Empezar a usar Google Cloud y Qwiklabs, Introducción al lab: Mejora la calidad de tus datos, Demostración del lab: Mejora la calidad de tus datos, ¿Qué es el análisis exploratorio de datos?, ¿Cómo se usa el EDA en el aprendizaje automático?, Análisis y visualización de datos, Introducción al lab: Explora los datos con Python y BigQuery
Introducción, Aprendizaje supervisado, Regresión lineal, Introducción al lab: Introducción a la regresión lineal, Demostración del lab: Introducción a la regresión lineal, Regresión logística
Introducción, Aprendizaje automático frente a aprendizaje profundo, ¿Qué es el aprendizaje automático automatizado?, Modelo de regresión de AutoML, Evalúa los modelos de AutoML
Introducción, Entrena un modelo de AA con BigQuery ML, Modelos compatibles con el aprendizaje automático en BigQuery, Introducción al lab: Usa BigQuery ML para predecir el peso de un pingüino (BigQuery ML y Explainable AI), Demostración del lab: Usa BigQuery ML para predecir el peso de un pingüino (BigQuery ML y Explainable AI), Ajuste de hiperparámetros de BigQuery ML, Cómo compilar e implementar un sistema de recomendación con BigQuery ML
Introducción, Definición de los modelos de AA, Introducción al conjunto de datos del curso, Introducción a las funciones de pérdida, Descenso de gradientes, Solución de problemas con curvas de pérdida, Errores comunes en los modelos de AA, Lab de clase:  Introducción a TensorFlow Playground, Lab de clase:  TensorFlow Playground: Avanzado, Lab de clase:  Practica con redes neuronales, Métricas de rendimiento, Matriz de confusión
Introducción, Generalización y modelos de AA, Cuándo detener el entrenamiento de modelos, Cómo crear muestras repetibles en BigQuery, Demostración: Cómo dividir conjuntos de datos en BigQuery
Resumen, Recurso: Todas las preguntas del cuestionario, Recurso: Todo el material de lectura, Recurso: Todas las diapositivas (English only)
Course: Blockchain and Business
Modules:
Course Introduction, Instructor Introduction, Module 1 Overview, Decentralizing the Enterprise, Practitioner Perspective - Andreas Wallendahl: Blockchain & ConsenSys, Transaction Costs and the Structure of the Firm, Opportunity 1: Search, Opportunity 2: Contracting, Opportunity 3: Coordination, Opportunity 4: Building Trust, Determining Corporate Boundaries, Hacking Your Future: Boundary Decisions, Module 1 Recap
Module 2 Overview, Blockchain Business Models Part 1, Blockchain Business Models Part 2, How VeriTX Used Blockchain for COVID-19 Ventilator Distribution, How Walmart and IBM Used Blockchain for Food Traceability, How Modum Used Blockchain + IoT Within the Pharmaceutical Supply Chain, How Filecoin is Using Blockchain to Decentralize Cloud Storage, How Sweatcoin is Using Blockchain to Create an Economy of Movement, Decentralized Autonomous Organizations (DAOs), The Story of "The DAO", Patents and Blockchain Innovation, Practitioner Perspective - Rolf Hoefer: Intellectual Property, Payments, Attribution, and Licensing, Distributed Ownership, Module 2 Recap
Module 3 Overview: Intro to the C-Suite, The CEO, The COO, The CLO, The CFO, The CMO, The CIO & CTO, The CHRO, Practitioner Perspective: Mihai Alisie, Co-Founder, Ethereum, Practitioner Perspective: Rob Carter, Executive VP and CIO, FedEx, Recap of the C-Suite
Module 4 Overview, A Taxonomy of Consortia, The Business Case for Joining Blockchain Consortia, Harnessing Consortia to Accelerate Blockchain Innovation, Practitioner Perspective: Dale Chrystie, Business Fellow and Blockchain Strategist at FedEx, on the BiTA Standards Council (BSC), Module Recap
Module 5 Overview, Intro to Blockchain Regulation, Practitioner Perspective - Andreas Wallendahl: Regulation, Fundamental Questions, Regulatory Principles, Practitioner Perspective - Hariton Korizis: Regulation, Regulation vs. Governance, Practitioner Perspective - Ana Trbovich: Regulation & Governance, The Blockchain Stack, Multiple Layers of Blockchain Governance, A New Framework for Blockchain Governance, Practitioner Perspective - Rob Carter: Governance, Profile of a Blockchain Hotbed, Module Recap
Module Overview, The Current Social Contract is Breaking, Drivers for Change, Four Pillars of Society, Intro to a New Social Contract, Rethinking Work, The Pre-distribution of Wealth, Distributed Power, Collaborative Institutions, Module Recap, Mihai Alisie on Business Models, Mihai Alisie on What's next for AKASHA?
Course: PM4R Agile: 5 steps for hybrid management of projects
Modules:
0.1.1 Welcome to the Course, 0.1.2 Important course information, 0.1.3 Meet Your Instructors and the Course Team
1.1.3 The Case of Urban Reconversion Acceso Sur. Step 1
2.2.1 Helping the El Salvador Case Team to Apply Step 2 of the PM4R Methodology
3.1.3 The Case of Urban Reconversion Acceso Sur. Step 3
4.1.3 The Case of Urban Reconversion Acceso Sur. Step 4
5.1.3 The Case of Urban Reconversion Acceso Sur. Step 5
6.1.1 Course Conclusions, 6.1.3 Is It Interesting to Apply PM4R Agile in Any Part of Your Project?, 6.1.5 End of the course
Course: Mécanique quantique
Modules:
1.1 Les nuages de Lord Kelvin, 1.2 Des premiers quanta aux ondes de matière, 1.3 Comment tester l'hypothèse de De Broglie, Introduction aux travaux dirigés, Probabilités  : rappels, TD 1.1 - Probabilités, TD 1.2 (*) - Processus de Markov
2.1 Comment décrire l'état d'une particule ?, 2.2 L'équation de Schrödinger (particule libre), 2.3 Applications des ondes de de Broglie, TD 2.1 - Interférences d'ondes de de Broglie, TD 2.2 - Expérience d'interférences
3.1 Introduction, 3.2 Propriétés de la transformation de Fourier, 3.3 De Huygens à Fresnel, 3.4 Holographie synthétique, TD 3.1- Transformée de Fourier, TD 3.2 - Transformée de Fourier d'une Gaussienne, TD 3.3 - Relation d'incertitude
4.1 Résolution de l'équation de Schrödinger pour une particule libre, 4.2 Distribution en impulsion d'une particule quantique, 4.3 Equation de Schrödinger dans le cas général, TD 4.1 - Paquet d'ondes libre, TD 4.2 - Mesure de temps de vol, TD 4.3 (*) - Stabilité de la matière
5.1 Que nous apprend une mesure en physique ?, 5.2 Valeur moyenne d'une quantité physique, 5.3 Valeurs propres et fonctions propres d'un opérateur, 5.4 Energies propres d'une particule dans une boîte, TD 5.1 - Courant de probabilité, TD 5.2  - Puits de potentiel infini
6.1 Résultat de mesure et valeur propre d'un opérateur, 6.2 Mesures répétées sur une particule, 6.3 Principe de mesure en physique quantique, 6.4 Le chat de Schrödinger, TD 6.1 - Continuité de la fonction d'onde, TD 6.2 - Marche de Potentiel
7.1 Etats liés et états de diffusion, 7.2 Recherche des états de diffusion, 7.3 Recherche des états liés, 7.4 Cas du puits symétrique, 7.5 Etats de diffusion du puits semi-infini, 7.6 Etats liés du puit semi-infini, TD 7.1 - Puit de potentiel fini, TD 7.2 - Puit de potentiel fini - Existence d'un état lié
8.1 La barrière de potentiel, 8.2 La réflexion totale interne frustrée, 8.3 Le microscope à effet tunnel, 8.4 La radioactivité alpha, 8.5 Niveaux d'énergie dans un double puits, 8.6 Evolution temporelle dans un double puits, 8.1 - Barrière de Dirac, TD 8.2 (*) - Modèle de Krönig-Penney