dipopotamus/custom_instruct_coursera_course_module_list huggingface dataset:
Course: Building React Application using ASP.NET MVC5
Modules:
Course Introduction, Meet your Instructor, What you will learn in this Lesson, Introduction to ASP.NET Core, ASP.NET Core Project Folder Structure, Demo: Building a Web Application using ASP.NET Core, Understanding MVC Pattern, Model-View-Controller Communication, Demo: Handling Requests in .NET Core MVC Core, What you will learn in this Lesson, Action Methods and Result Types, Razor View Engine and Razor Syntax, Layout, Sections and View Start, HTML Helpers and Tag Helpers, Convention Routing and Attribute Routing, Data Passing Techniques, ViewBag and View Data, Working with TempData, Sessions and State Management, Working with QueryString, What you will learn in this Lesson, ASP.NET Core Forms, Demo: Weakly Typed Forms, Demo: Strongly Typed Forms, Model Binding, Demo: Handling Forms Post, Forms Validations - Server Side and Client Side
What you will learn in this Lesson, Middleware Request Pipeline, Built-In Middleware and Custom Middleware, Dependency Injection (DI), Demo: Implementing DI in ASP.NET Core, ASP.NET Core Environments, Exceptions Handling and Logging, What you will learn in this Lesson, Introduction to Entity Framework Core as ORM, Configuring Entity Framework Core in MVC Application, Developing Application with Code First Approach, Developing Application with Database First Approach, Demo: Code First Approach CRUD Operations, What you will learn in this Lesson, Authentication in Web Application, Authorization in Web Application, Identity Core Security in Asp.Net Core Application
What you will learn in this Lesson, Introduction to SOA, Introduction to REST, Introduction to ASP.NET Web API, WCF vs. Web API, What you will learn in this Lesson, Building ASP.NET Web API, Creating Database for Web API, ASP.NET Web API CRUD Operations, Testing Web API Using Postman, Consuming Web API in ASP.NET MVC, What you will learn in this Lesson, Routing, Route Constraints, Content Negotiation, Media Type Formatters, Project Configuration, Developing Web API, Configuring React Component, Consuming Web API, Rendering API Data
Course: Cities are back in town : urban sociology for a globalizing urban world
Modules:
Welcome to the new urban world, Ancient cities, Words to qualify cities and the urban world, A world of cities or a generalised urban world ?, Definitions, Models and urban sociology
Introduction to European city, Municipal revolution and the fragile political autonomy, The weberian model of the « Occidental city », Neo weberian model part 1, Neo weberian model part 2, The Los Angeles case study
Imposing a universal European framework or looking for alternatives ?, Inequality, segregation and the colonial political order part 1, Inequality, segregation and the colonial political order part 2, Features of colonial cities, Legacy of colonisation, post colonial cities ? v1
Industrial urbanisation and urban change, Two waves of industrialization, The making of the industrial city as a social structure, Methods and variables of the marxist industrial agglomeration model
centers of experiment for modern social life, European capitals of the great nation states of the 19th century turn into metropolis, Metropolis in the south, The human ecology of cities and the US coming of age of urban sociology, Competition and the development of the metropolis
a globalising urban capitalist world, Globalization, Big cities with advanced economic functions ?, Conclusion Global city
Post metropolis and the criticism of models, Conflictual cities, Contested cities, rejecting modernism, capitalism and the state, Beyond modernism the cultural turn of urban studies, Culture and entertainment are back in town, the city of visitors
Introduction to smart city – Part 1, Introduction to smart city – Part 2, Maps and networks – Part 1, Maps and networks – Part 2, Smart city model – Part 1, Sustainable city
Course: Determining AI Needs
Modules:
Introduction to Determining AI Needs, What are the components of AI?, Determining your AI needs video - part 1, Determining your AI needs video - part 2, Customized Knowledge for AI, Customized Security for AI, Customized Interfaces for AI, Evaluating your customized AI tool, Congrats!
Course: Getting Started with Puppet
Modules:
Welcome to the Course, Course Overview, Configuration Management System - Introduction, Idempotency, Resource Abstraction Layer (RAL), Puppet Architecture Part 1, Puppet Architecture Part 2, Puppet Architecture Part 3, Why Puppet Enterprise, Choosing Architecture, System Requirements, PE-Master Installation Part 1, PE-Master Installation Part 2, PE-UnInstaller, PE-GUI Installation, Agent Installation-Ubuntu, PE : Agent Installation - CentOs7, Puppet Configuration, Puppet Open Source Installation
Puppet - DSL Resources, Puppet - Classes, Puppet - Nodes, Puppet: Relationship and Ordering, Puppet - Resource Metaparameters, Puppet - Modules Introduction, Puppet - forge, Install Puppet Forge Module_Apache, Module directory Structure and Basic Guidelines for Manifest files, Puppet Module Generate, Puppet-PDK install and Generate Module, Apache Module - Class
Environment Setup, Facter - Introduction, ExternalFacts, CustomFacts, Classification-Introduction, PE-Orchestrator, Puppet-OnDemandJob Part 1, Puppet-OnDemandJob Part 2, Puppet Tasks, PuppetDB Overview, Puppet Query Language (PQL), Puppet Reporting, PE-InstallationTroubleShooting, PE-CodeManagerTroubleShooting, PE-DatabaseTroubleShooting, Course Conclusion
Course: Managing Machine Learning Projects with Google Cloud
Modules:
Introduction
Introduction, AI vs ML vs Deep Learning, Phase 1: Assess feasibility, Practice assessing the feasibility of ML use cases
Common ML problem types, Standard algorithm and data, Data quality, Predictive insights and decisions, More ML examples, Practice series: Analyze the ML use case, Saving the world's bees, Google Assistant for accessibility, Exercise review and Why ML now
Features and labels, Building labeled datasets, Training an ML model, General best practices, Introduction to hands-on labs, Lab 1: Review
Human bias in ML, Google's AI Principles, Common types of human bias, Evaluating model fairness, Guidelines and Hands-on Lab, Lab 2: Review
Replacing rule-based systems with ML, Automate processes and understand unstructured data, Personalize applications with ML, Creative uses of ML, Sentiment analysis and Hands-on Lab, Lab 3: Review
Key consideration 1: business value, Data strategy (pillars 1–3), Data strategy (pillars 4–7), Data governance, Build successful ML teams, Create a culture of innovation and Hands-on Lab, Lab 4: Review
Summary
Course: Building Confidence in the Future
Modules:
Intro to Leading StandOut Teams: Course 7, Breathe Easy at the Top of the Mast, It Doesn't Have to Be Perfect, Rally People to a Better Future
Purpose and Strengths, "Values", Culture, Is It Worth It?
Party People, Rearticulate, Restore, & Reignite, Pattern Interrupt, Congratulations, You Did It!
Course: Evaluación de peligros y riesgos por fenómenos naturales
Modules:
Bienvenida
Introducción al estudio de riesgos por fenómenos naturales
Sismos y tsunamis, Experimento, Volcanes, PRM, Entrevista RPM
Inundaciones, Huracanes, Sequías
Riesgos por fenómenos geológicos e hidrometeorológicos
Introducción al estudio de la vulnerabilidad, Percepción del riesgo
Acciones de mitigación y prevención del riesgo
Manos a la obra
Course: Trademark Law
Modules:
Introduction, The Policy Behind Trademarks, What Can Qualify as a Trademark?, Trademark vs. Other Important Company Identifiers, Designations That Cannot be Trademarked
What Makes a Good Trademark?, The Importance of Enforceability, Can You "Fix" a Descriptive Mark?, Should You Search a Potential Mark?, Designing a Clearance Search, Interpreting the Search Results
Federal vs. State Trademark Registration, When Are You Ready to File an Application?, Filing a Federal Trademark Application Part 1, Filing a Federal Trademark Application Part 2, What Happens After the Application is Filed?
Proper Trademark Marking and Use, Policing and Maintenance Part 1, Policing and Maintenance Part 2, Addressing Trademark Infringement
Course: Auditing Generative AI: Strategy, Analysis & Risk Mitigation
Modules:
Welcome, Course Introduction, Generative AI Concepts, Introduction to AI Audit Preparation, Generative AI Use Cases, Generative AI Risk, Risk Mitigation and Best Practices, Generative AI Challenges and Guidnace, Generative AI Auditing Methodology and Approach, Course Summary
Course: Introducción a la gestión ágil de proyectos
Modules:
Aspectos relevantes de la agilidad, La importancia de los dominios en la gestión ágil
Importancia del proceso de comunicación, Aspectos relevantes de las herramientas tecnológicas
La clave para la gestión ágil, Motivación y compromiso del equipo
La puesta en marcha de un proyecto, La práctica hace al maestro, Entrevista con el experto
Course: 데이터 정리
Modules:
무결성에 초점 맞추기 개론, 데이터 무결성이 중요한 이유, 데이터 무결성과 목표 사이에서 균형 잡기, 부족한 데이터 처리, 샘플 크기의 중요성, 통계적 검정력 사용, 최적의 샘플 크기 결정, 데이터의 신뢰성 평가
정리하자!, 데이터 정리가 중요한 이유, 앤지: 데이터 정리를 좋아하는 이유, 더티 데이터의 인식과 해결, 데이터 정리 도구와 기법, 여러 출처의 데이터 정리, 스프레드시트의 데이터 정리 기능, 데이터 정리 과정 최적화, 데이터를 바라보는 다양한 관점, 더 많은 데이터 정리 기법
SQL을 사용하여 데이터 정리, 샐리의 SQL 사랑, SQL 기능 이해, 스프레드시트와 SQL의 차이, 널리 사용되는 SQL 쿼리, 에반: 재미있는 SQL, SQL을 사용하여 문자열 변수 정리, 고급 데이터 정리 함수, 파트 1, 고급 데이터 정리 함수, 파트 2
결과 검증 및 보고, 정리와 데이터 기대치, 데이터 정리의 최종 단계, 정리 변경사항 기록, 문서화가 중요한 이유, 피드백 및 정리
데이터 애널리스트 채용 과정 소개, 데이터 애널리스트 입사 지원 과정, 이력서 작성, 개성 있는 이력서 작성, 조셉: 데이터 업계의 흑인 및 아프리카계 미국인 포용, 이전 경력 활용, 케이트: 케이트의 데이터 애널리스트 커리어 이야기, 여러분의 관심사는 무엇인가요?
강좌 챌린지 준비, 마무리 인사
Course: RESTful Web Services with JAX-RS
Modules:
Introduction, Web Services, Lab 1 Walkthrough
JAX-RS Services, Lab 1 Walkthrough, Response Return Types, Lab 2 Walkthrough, Filters, Lab 3 Walkthrough
Course: Office Productivity Software and Windows Fundamentals
Modules:
Course Overview, Specialization Overview, Windows Overview, File & Folder Management, Installing Apps and the Basics of Control Panel, Useful Windows Apps, Capturing and Working with Screenshots, Windows Tips and Shortcuts
Introduction to Office Productivity Software, Office Productivity Software Vendors, Choosing Office Productivity Software
Course Summary & Next Steps
Course: Bridging the Gap: EV Grid Integration & V2G Systems
Modules:
Welcome and Meet Your Instructor, Understanding Grid Integration, Grid Integration Benefits and Significance, EV Charging Infrastructure & "The Grid", Time-of-Use Pricing and Charging, Demand Response Program, Load Shifting and Grid Optimization, Introduction to V2G Systems, V2G Benefits and Applications, V2G Challenges and Considerations (Part 1), V2G Challenges and Considerations (Part 2)
Course: Fundamentos de Operações com o 10,000 Women da Goldman Sachs
Modules:
Boas-vindas, Explorando os benefícios da melhoria de processos: os princípios, Avaliando seus processos de negócios, Aperfeiçoando seus processos para obter vantagem competitiva, Identificação de medidas adequadas para desempenho
Course: My Favorite Lectures @ HKUST
Modules:
Course Trailer
A dialog with Prof. Andrew Horner on his teaching philosophy
2.1 Introduction, 2.2 Are we all governed by physical laws?, 2.3 Are we solely defined by our DNA?, 2.4 Are we someone in the grey area?, 2.5 Are we what we ate?, 2.6 Are we hosts of aliens?, 2.7 What really defines you?, 2.8 Live your own meaningful life!, 2.9 How did students react to the talk?, A dialog with Prof. King L Chow on his teaching philosophy
3.1 Pre-lecture Exercises, 3.2 What is Love?, 3.3 Do Chinese have Romantic Love?, 3.4 How did we study Romantic Love among the Chinese? (study love songs), 3.5 How did we study Romantic Love among the Chinese? (study emotion lexicon), 3.6 How did we study Romantic Love among the Chinese? (study features of romantic love), 3.7 Romantic Love =  Better Marriages?, 3.8 Food for Thought, A dialog with Prof. Michelle Yik on her teaching philosophy
4.1 An Overview, 4.2 Components of a Network, 4.3 Types of Networks, 4.4 OSI Reference Model (Layer 7- 4), 4.5 OSI Reference Model (Layer 3 - 1), 4.6 Encapsulation and De-Encapsulation, 4.7 TCP Connection Establishment, 4.8 Summary and Q&A, A dialog with Prof. Percy Dias on his teaching philosophy
Rate this Course
Course: Desarrollo rápido de productos innovadores para mercados emergentes
Modules:
¡Bienvenido!, 3 pasos para el aprendizaje del Siglo XXI, Etapas de un alumno en la modalidad virtual, Ejemplo de un proyecto desarrollado con la Metodología del Curso, Introducción a las megatendencias sociales, Consumidor ecológico, Educación personalizada, vitalicia y universal, Mercadotecnia personalizada, El mundo un gran centro comercial, Nueva estructura demográfica y familiar, Salud Tecnológica, Virtualidad Cotidiana, Material Extra: Video - Centro de Innovación Multimedia (CIM) – Ejemplo de virtualidad cotidiana, Aprendizaje móvil: Tecnología educativa para el aprendizaje móvil, Aprendizaje móvil: Proyecto MatiTec – Ejemplo de Educación personalizada, vitalicia y universal, Aprendizaje móvil: M-learning – Ejemplo de Educación personalizada, vitalicia y universal
Introducción a las megatendencias tecnológicas, MEMS, Nuevas tecnologías energéticas, Células, tejidos y órganos, Microtecnologías y nanotecnologías, Realidad mixta, Tecnologías inalámbricas, Biotecnología agrícola, Inteligencia artificial, Agricultura automatizada, Material Extra: Video - Proyecto Suntracker, Material Extra: Video - Proyecto Robot para apoyo a terapias de niños autistas
Explicación de la técnica: "Un día en la vida de...", Ejemplo: "Un día en la vida de…", Fase 1
Las tareas a realizarse (Jobs-To-Be-Done), Expectativas esperadas (Outcome Expectations)
Etnografía, Cápsula 1 - Condiciones en las que se desplaza una persona en silla de ruedas, Cápsula 2 - Obstáculos durante el desplazamiento, Cápsula 3 - Lugares no accesibles, Cápsula 4 - Lugares de trabajo adecuados e inadecuados, Cápsula 5 - Sensibilidad de la sociedad, Cápsula 6 - Un día en la vida…, Matriz de necesidades y satisfactores
Matriz morfológica: Explicación, Matriz morfológica: Ejemplo, Matriz morfológica: Borrego con sensores, Una solución para personas con capacidades diferenciadas – Silla automatizada, Diseño del Invernadero Sostenible, Diseño de control automático e inteligente para Invernadero Sostenible
Introducción a storyboards, Explicación de storyboards, Cierre de Storyboards y Prototipos, Explicación de prototipos, Aplicación de prototipos
Ejemplo integrador del proyecto final
Course: Microsoft PL-300 Exam Preparation and Practice
Modules:
Course introduction, Introduction to preparing for the exam, Identify and connect to a data source, DirectQuery, Import, and Dual mode, Parameter values, Connecting to a dataflow, Evaluating data, data statistics, and column properties, Resolve inconsistencies and data quality issues, Create and transform columns, Identify when to use reference queries, Merge and append queries, Table relationships, Module summary: Preparing data
Designing a schema, Implementing role-playing dimensions, Using CALCULATE to manipulate filters, Cardinality and cross-filter direction, Calculated Columns, Single aggregation measures, Implement time intelligence measures, Additive, semi-additive and non-additive measures, Calculated tables, Data hierachies, Using the Performance Analyzer, Improve performancing via cardinality and summarization, Module summary: Modeling data
Using appropriate visualizations, Configuring and formatting visualizations, Slicing and filtering, Report navigation and sorting, Interactions between visuals, Sync slicers, Group and layer visuals by using the Selection pane, Design reports for mobile devices, Detect outliers and anomalies, Grouping and binning data, AI visuals, Reference lines and error bars, Scorecards and metrics, Module Summary: Visualize and Analyze data
Workspaces and workspace roles, Workspace apps, Subscriptions and data alerts, Promote or certify Power BI content, Data gateways, Row-level security, Providing access to datasets, Module Summary: Deploy and maintain assets
Introduction to the PL-300 Exam, Understanding Microsoft Copilot, Understanding Copilot for Power BI Specialists, Enhancing Report Design with AI-assisted Tasks, Mastering DAX Formulas with Copilot, Congratulations, Day in the life
Course: The Brain and Space
Modules:
Lecture 1.1 - (S) Introduction to the Course, Lecture 1.2 - (S) Vision: What Do We See?, Lecture 1.3 - (S) Vision: How Light is Sensed by Neurons, Part 1, Lecture 1.4 - (S) Vision: How Light is Sensed by Neurons, Part 2, Lecture 1.5 - (S) Vision: How the Eye Forms an Image, Part 1, Lecture 1.6 - (S) Vision: How the Eye Forms an Image, Part 2, Lecture 1.7 - (E) Vision: Movie Interlude - Turning the World Upside-Down
Lecture 2.1 - (S) Vision: Binocular Cues for Depth Perception, Lecture 2.2 - (S) Vision: Monocular Cues for Depth Perception, Lecture 2.3 - (S) Introduction to Body Position Sensing, Lecture 2.4 - (S) Body Position Sensory Receptors, Lecture 2.5 - (G) Neural Signals: The Resting Membrane Potential, Lecture 2.6 - (G) Neural Signals: The Action Potential, Lecture 2.7 - (S) Converting the Mechanical to the Electrical, Lecture 2.8 - (E) Body Position Illusions and Experiments I: Pinocchio and Crossed Hands, Lecture 2.9 - (E) Body Position Illusions and Experiments II: Prisms
Lecture 3.1 - (S) Introduction:  Figures and Backgrounds, Lecture 3.2 - (S, G, E) Synapses and Center-Surround Organization, Lecture 3.3 - (S) Maps of Visual Space, Lecture 3.4 - (S) Orientation and Border Ownership, Lecture 3.5 - (S, E) Phantom Limb and the Blind Spot, Lecture 3.6 - (S, E) Motion Vision
Lecture 4.1 - (S) What is sound and how is it sensed?, Lecture 4.2 - (S) Deducing the Location of Sounds, Lecture 4.3 - (S) Movements and the "Cone of Confusion", Lecture 4.4 - (S) Spectral Cues and the "Cone of Confusion", Lecture 4.5 - (S) Learning to Find Sounds, Lecture 4.6 - (S, E) Ventriloquism and Finding Sounds, Lecture 4.7 - (S) Determining the Distance of Sounds, Lecture 4.8 - (S) Brain Maps as Representations, Lecture 4.9 - (S) Brain Meters as Representations, Lecture 4.10 -(S) Brain Meters and Movements, Lecture 4.11 -(S, E) Translating Maps to Meters, Lecture 4.12 - (S, E) Brain Representations for Sound
Lecture 5.1 - (S) Defining Spatial Locations, Lecture 5.2 - (S) Visual Space is Synthesized Across Eye Movements, Lecture 5.3 - (S, E) Sensing Eye Position via Motor Commands, Lecture 5.4 - (S, E) Coordinating Between Vision and Touch, Lecture 5.5 - (S, E) Coordinating Between Vision and Hearing, Lecture 5.6 - (S, E) Translating Auditory Information into Visual Coordinates, Lecture 5.7 - (S) Going Places I: The Vestibular System, Lecture 5.8 - (S) Going Places II:  Vision and Movement
Lecture 6.1 - (S) Memory and Space: A Two-Way Street, Lecture 6.2 - (S) Memory in Neural Activity, Lecture 6.3 - (S) Memory in Synapses, Lecture 6.4 - (S, E) Memory and Parietal Cortex, Lecture 6.5 - (S, E) Memory, Navigation and the Hippocampus, Lecture 6.6 - (S) Space and Thinking, Lecture 6.7 - (S, E) Behavioral Ties Between Space and Thought, Lecture 6.8 - (S, E) Brain Evidence Connecting Space and Thought, Lecture 6.9 - (S) Space and Abstract Thought
Course: Climate Solutions: UAE
Modules:
Welcome to Week 1, What is climate change?
Welcome to Week 2, The carbon cycle explained, How do we study our changing climate?, Greenhouse gases (GHGs)
Welcome to Week 3, The future of the UAE's climate
Welcome to Week 4, How can we mitigate and adapt?, The hierarchy of responses
Welcome to Week 5, Who are the key players?, Global government action, Sustainable Development Goals (SDGs), Do Nation: How to Make a Pledge
Course: Creative Problem Solving
Modules:
Welcome/Introduction, Course Methods: Creative Skill Development, Idea Generation: Brick Activity, DSD General Introduction, DSD 1 Eat introduction, Critiquing and Making Improvements, Brief tutorial on shooting pictures for the class, Dr. Sauman Chu: Programs Offered at the College of Design
Divergent and Convergent Thinking, Play and Creativity, DSD 2: Child, Steven JohnsonTED talk: Where Good Ideas Come From
Applying Divergent and Convergent Thinking, Creativity and Motivation, Mindmapping, Beliefs, Habits, Skills and Knowledge, Give Differently Introduction, Attribute Listing: Observation and Application, Bricolage + Exquisite Corpse as Creativity Techniques
Creativity and Motivation, Brush Your Teeth, Left Brain/Right Brain Thinking, Top 10 Things About Creativity, Moving Forward, Conclusion, Creativity Models and Theories
Course: Object-Oriented Programming in C++: Functions
Modules:
Introduction to the third course in the specialisation, Development environments, Installing Visual Studio 2019, Running a program in Visual Studio 2019, Add a class to Visual Studio Windows, Installing Xcode, Create and build a project in Xcode, Add a class in XCode, The tokenise algorithm in pseudocode, The tokenise algorithm in C++, Testing tokenise, Open a file, Read a file using getline, Tokenise then translate the data into the correct format, Dealing with exceptions, Experimenting with exception handling
The plan, Create the CSVReader class, Make it compile, Implement the OrderBookEntry making function, Implement the tokenise and file parsing functions, Integrate it into MerkleMain init function and compute some statistics, Static and non-static exploration, End of course summary
Course: 计算机操作系统
Modules:
1-1 计算机系统概览, 1-2 计算机硬件系统, 1-3 计算机软件系统, 1-4 计算机操作技术的发展, 1-5 计算机操作系统, 1-6 资源管理的视角, 1-7 控制程序执行的视角, 1-8 操作控制计算机的视角, 1-9 人机交互的视角, 1-10 程序接口的视角, 1-11 系统结构的视角
2-1 处理器与寄存器, 2-2 指令与处理器模式, 2-3 中断, 2-4 中断源, 2-5 中断系统（一）, 2-6 中断系统（二）, 2-7 多中断的响应与处理, 2-8 进程及其状态, 2-9 进程的数据描述, 2-10 进程的管理, 2-12 多线程技术概述, 2-11 进程切换与模式切换, 2-13 KLT与ULT, 2-14 多线程实现的混合策略, 2-15 处理器调度的层次, 2-16 处理器的调度算法（一）, 2-17 处理器的调度算法（二）
3-1 存储管理的主要模式, 3-2 存储管理的功能, 3-3 虚拟存储器的概念, 3-4 存储管理器的硬件支撑, 3-5 单连续分区存储管理, 3-6 可变分区存储管理, 3-7 页式存储管理的基本原理, 3-8 页式存储管理的地址转换, 3-9 页式虚拟存储管理, 3-10 页面调度, 3-11 反置页表, 3-12 段式存储管理, 3-13 段式虚拟存储管理, 3-14 段页式存储管理
4-1 设备管理概述, 4-2 I/O控制方式, 4-3 总线与IO, 4-4 IO软件的实现层次, 4-5 IO软件的实现, 4-6 IO缓冲区, 4-7 设备独立性, 4-8 独占型外设的分配, 4-9 磁盘的物理结构, 4-10 磁盘的驱动调度, 4-11 SPOOLing系统, 4-12 批处理系统的作业管理
5-1 文件的概念, 5-2 文件系统及其功能, 5-3 文件的存储, 5-4 文件的逻辑结构, 5-5 记录的成组与分解, 5-6 文件的物理结构, 5-7 文件的目录结构, 5-8 文件目录的管理, 5-9 文件的安全与保护, 5-10 文件的保护, 5-11 文件的存取方法, 5-12 文件的使用, 5-13 辅存空间管理, 5-14 文件系统的实现层次
6-1 并发程序设计的概念, 6-2 并发进程的制约关系, 6-3 临界区, 6-4 临界区管理实现的尝试, 6-5 临界区管理实现的硬件方式, 6-6 PV操作与进程互斥, 6-7 PV操作与进程同步, 6-8 生产者消费者问题探究, 6-9 管程概述, 6-10 霍尔管程, 6-11 霍尔管程的例, 6-12 进程通信, 6-13 高级进程的通信机制, 6-14 死锁的产生, 6-15 死锁的防止, 6-16 死锁的避免, 6-17 死锁的检测
Course: Critical Thinking Skills for the Professional
Modules:
Introduction to Problem Solving, Why So Many Problems?, Kinetic Memorization, Identify the Problem, Reframe
Module Introduction, Individual vs. Group Brainstorming, Brainstorming Guidelines, Choose 3, Advantages and Disadvantages
Introduction to Prepare and Recommend, Prepare and Recommend Example, Applying Your Recommendation, Be and Avoid, Engage Feedback, Course Summary and Wrap-up
Course: Network Principles in Practice: Linux Networking
Modules:
Course Introduction, Week 1 Problem and Overview, Linux Data Plane, Lab Environment, Troubleshooting Tools, Linux network device configuration (ip link)
Week 2 Problem and Overview, Linux Utilities for IP Layer, Example IP Layer Walkthroughs, Routing in Linux, Routing Walkthrough with Bird, Larger Routing Experimentation
Week 3 Problem and Overview, Filtering / Address Translation, iptables, Load Balancing, ipvs, Quality of Service, tc
Week 4 Problem and Overview, Network Namespaces, ip netns, Networking Between Namespaces, Docker Networking
Week 5 Problem and Overview, Kubernetes Use, Kubernetes Architecture, Kubernetes Networking, Creating a Network Plugin
Course: Introduction to Open Source Application Development
Modules:
Course Introduction, Instructor Introduction, Introduction to Python Programming, Installing Python, Arithmetic Operations, Declaring and Using Variables, Coding Logic and Design
Sequential Flow of a Program, Input and Output, Conversion Functions, Formatting Output
Decision Operations, If Conditions, Alternative Decision Making
Repetition Statements, While Loop, For Loop, Nested Loop
Intro to Functions, Defining and Implementing Functions, Importing Modules, Debugging Source Code
Intro to List Processing and File Processing, List Processing, List Slices, Processing Data Files
Intro to OOP, Create Class and Objects, Introduction to Inheritance, UML (Unified Modeling Language)
Intro to GUI Programming, GUI Components, GUI Program Demo
Summative Course Assessment
Course: الاقتصاد المفتوح | The Open Economy
Modules:
مفهوم الاقتصاد المفتوح (Open Economy), تدفقات رؤوس الأموال الدولية والميزان التجاري, رسم بياني توضيحي, السياسة المالية (Fiscal Policy) وأثر تغييرها, مثال للعجز التجاري بالولايات المتحدة, أثر أسعار الصرف على الميزان التجاري, السياسة التجارية (Trade Policy), مراجعة على ما سبق تعلمه, النمط الاقتصادي في الولايات المتحدة - الجزء الأول, النمط الاقتصادي في الولايات المتحدة - الجزء الثاني
Course: Business Transformation with Google Cloud en Français
Modules:
Bienvenue dans ce cours
Introduction et innovations à travers l'histoire, Qu'est-ce que le cloud ?, Le danger du statu quo, Un changement de paradigme, Une puissance de calcul extraordinaire, Les données : une nouvelle forme de devise, Productivité et automatisation, Percevoir, catégoriser, prédire et recommander, Qu’est-ce que cela signifie pour vous ?
Introduction et changement d'état d'esprit : le garage de l'innovation, Culture : faire évoluer l'état d'esprit d'innovation, Entreprise : trois règles simples, Culture de l'innovation : le secteur bancaire, Qu’est-ce que cela signifie pour vous ?
Introduction et transformation ou projet d’amélioration à grande échelle, Rédiger un défi de transformation fort, Cartographier votre écosystème de données pour créer des insights, Hiérarchiser les défis de l'entreprise en fonction des insights, Évaluer les résultats probables à l'aide d'un cadre de transformation, Élaborer une problématique d'entreprise solide
Introduction et termes fondamentaux : confidentialité, sécurité, conformité et disponibilité, Quels sont les défis actuels en matière de cybersécurité ?, Comment un modèle de sécurité partagé peut-il contribuer à assurer la réussite de l'entreprise ?, Quel est votre rôle dans le modèle de responsabilité partagée ?, Quelles sont les exigences de conformité actuelles et comment  les respecter avec Google Cloud ?, En quoi suis-je responsable du respect de la conformité ?, Qu’est-ce que cela signifie pour vous ?
Introduction et identification de la solution idéale à votre problématique, Identifier la solution idéale à votre problématique, Définir une stratégie de données globale pour votre parcours de transformation, Collecter les bonnes données, Réaliser votre étude de cas, Diffuser votre étude de cas
Conclusion du cours et étapes suivantes
Course: Data Analysis and Presentation Skills: the PwC Approach Final Project
Modules:
Welcome to Course 5, A Message from our Chief People Officer at PwC, Overview of the first assignment
Week 2 - Overview of the second assignment
Week 3 - Overview of the third assignment
Week 4 - Overview of the fourth assignment
Week 5 - Overview of the fifth assignment, Course closing - Outcomes from Electric Growers, Course closing & Thank you, Specialization closing, Get Personal with Alex Mannella Podcast - Day in the Life
Course: Digital Business Models
Modules:
Lesson 1: How digital challenges traditional management strategy, Lesson 2: What is a business model?, Lesson 3: Digital as a business model
Lesson 1: How the business models of Apple and Google work, Lesson 2: How the business models of Facebook and Amazon work, Lesson 3: How the business models of Xiaomi and WeChat work, Lesson 4: Asymmetric business models – creating unfair advantage
Lesson 1: Developers – today's software innovators and decision makers, Lesson 2: The developer platforms landscape, Lesson 3: The languages and motivations of software developers
Lesson 1: From software innovators to resellers, Lesson 2: Developers as product extenders, Lesson 3: Developers as resellers and distributors, Lesson 4: Case studies in the drones and travel industries, Lesson 5: Case studies in the retail and agriculture industries, Lesson 6: Case studies in enterprise sales and gaming industries
Lesson 1: The recipe for platform and asymmetric business models, Lesson 2: The digital business model canvas, Lesson 3: More examples using the digital business model canvas
Course: Hacking COVID-19: Metabolic Pathway Analysis Yields SARS-CoV-2 Drug Targets
Modules:
Welcome to the Course!, The BioCyc Database Collection, Accessing Course Content, BioCyc Learning Library
Course: هيكلة مشاريع التعلم الآلي
Modules:
لماذا استراتيجية التعلم الآلي, التعامد, مصفوفة التقييم ذو الرقم الواحد, مصفوفة استراتيجية الاستدلال المعرفي والتحسين, عمليات التوزيع الخاصة بالتدريب/التطوير/الاختبار, المجموعات الخاصة بحجم التطوير والاختبار, متى يتم تغيير المجموعات والمصفوفات الخاصة بالتطوير/الاختبار, لماذا الأداء على المستوى البشري؟, الانحياز القابل للإبطال, فهم الأداء على المستوى البشري, تخطي الأداء على المستوى البشري, تحسين أداء الوحدة الخاصة بك, مقابلة مع أندريه كارباثي
قم بإجراء تحليل الأخطاء, احذف البيانات التي تحتوي على عناوين غير صحيحة, قم بإنشاء النظام الأول الخاص بك بسرعة، ثم قم بالتكرار, التدريب والاختبار على عمليات توزيع مختلفة, الانحياز والتباين مع عمليات توزيع البيانات غير المتطابقة, معالجة عدم تطابق البيانات, نقل التعلم, التعلم متعدد المهام, ما المقصود بالتعلم المتعمق الشامل؟, ما إذا كان ينبغي استخدام التعلم المتعمق الشامل أم لا, مقابلة مع رسلان سالاخوتدينوف
Course: Introduction to Healthcare Accounting
Modules:
Welcome to the Introduction to Healthcare Accounting, Week 1 Overview, Introduction to Financial Accounting and the Financial Statements, Generally Accepted Accounting Principles
Week 2 Overview, Balance sheet: Assets, Balance Sheet: Liabilities and Net Assets, Statement of Operations: Revenues, Statement of Operations: Expenses and Profit, Accounting for Depreciation
Week 3 Overview, Statement of Changes in Net Assets, Statement of Cash Flows, Notes to the Financial Statements
Week 4 Overview, Financial Statement Analysis Part 1, Financial Statement Analysis Part 2, Financial Statement Analysis Part 3, Financial Statement Analysis part 4, Financial Statement Analysis Part 5, Financial Statement Analysis Part 6
Course: Everyday Excel, Part 1
Modules:
Welcome to Everyday Excel!, What will I learn in the course?, How to switch sessions of the course, Week 1 preview, Basic features of Excel, Saving and opening files, Sheets, cells, rows and columns: Part 1, Sheets, cells, rows and columns: Part 2, Moving around the worksheet, Editing the worksheet, Cell formatting and conditional formatting, Auto Fill and Fill Series, OPTIONAL Example: Gantt Chart, Formats for numbers, dates, and times, Cell addressing modes, Naming cells and cell ranges, Introduction to VBA macros, Excel is smart! (Quick Analysis tool and Ideas tool), Setting preferences in Excel, Customizing Excel to English formats, Assignment 1 preview and instructions
Week 2 preview, Excel syntax and order of operations, Troubleshooting Excel formulas, Introduction to functions in Excel, Counting, summing, and averaging in Excel, Part 1, Counting, summing, and averaging in Excel, Part 2, Rounding and remainders, Examples: Rounding and remainders, Random numbers, combinations, and permutations, The CHOOSE function, OPTIONAL: The CONVERT function (for engineers and scientists), Assignment 2 preview and instructions
Week 3 preview, Making named ranges dynamic, Previewing compatibility with earlier versions, IF, AND, and OR, Advanced logical functions in Excel, Flash Fill: Advantages and disadvantages, Text functions in Excel, Part 1, Text functions in Excel, Part 2, Excel's financial functions, Introduction to array formulas, Introduction to VBA user-defined functions, Assignment 3 preview and instructions
Week 4 preview, Applying a filter, Using the FILTER function (Office 365), Creating an Excel Table, Data validation and drop-down lists, Sorting data in Excel, The SORT and SORTBY functions (Office 365), Example: Sorting by columns, Cleaning your data, Removing duplicates, Consolidating data, One-way lookup functions, Part 1, One-way lookup functions, Part 2, The XLOOKUP function, Assignment 4 preview and instructions
Week 5 preview, Scatter plots in Excel, Part 1, Scatter plots in Excel, Part 2, Column and pie charts in Excel, Dynamic charts, Introduction to Pivot Tables, Slicers, Sparklines, Sharing worksheets and charts in Word and PowerPoint, Printing Excel worksheets, Example: Sales invoice as PDF file, For Fun: Importing Geographic information, Assignment 5 preview and instructions
Course: Réseaux neuronaux convolutifs
Modules:
Vision par ordinateur, Exemple de détection de contours, Plus de détection de contours, Padding, Déconvolutions rayées, Convolutions sur volume, Une couche d'un réseau convolutif, Exemple de réseau convolutif simple, Couches de mise en commun, Exemple de CNN (Réseau neuronal convolutif), Pourquoi des Convolutions ?, Entretien avec Yann LeCun
Pourquoi consulter les études de cas ?, Réseaux classiques, ResNets, Pourquoi les ResNets fonctionnent, Réseaux en Réseaux et Convolutions 1x1, Motivation du réseau de lancement, Réseau de lancement, Utilisation de la mise en œuvre Open-Source, Apprentissage par transfert, Augmentation des données, État de la vision informatique
Localisation d'objets, Détection de repère, Détection d'objets, Mise en œuvre convolutive des fenêtres coulissantes, Prévisions du champ de délimitation, Intersection sur l'union, Suppression non max, Boîtes d'ancrage, Algorithme YOLO, (Facultatif) Propositions régionales
Qu'est-ce que la reconnaissance faciale ?, Apprentissage en un coup, Réseau siamois, Perte de triplet, Vérification faciale et classification binaire, Qu'est-ce que le transfert de style neuronal ?, Qu'est-ce que l'apprentissage approfondi de ConvNets ?, Fonction de coût, Fonction de coût du contenu, Fonction de coût de style, Généralisations 1D et 3D
Course: Introduction to Game Design
Modules:
Welcome!, Elements of Gaming, The Game Design Document, Feedback, Making a Simple Game and Brainstorming, Week 1 Homework
Introduction to Rules, Balance, What are rules?, Breaking the Rules, Learning the Rules, Week 2 Homework
Introduction to Story, Story Purpose, Who's In Charge of Your Game Story?, Writer-Driven, Writer-Led, Player-Led, Roleplaying & Character Motivation, Explaining & Imagining, Week 3 Homework
Introduction to Characters, Characters in Gaming, Types of Characters, Multiplayer Rules and Balance, Bonus Interview: Adam Spragg, Designer of Hidden in Plain Sight, Week 4 Homework
Course: Build and Implement Microservices Patterns
Modules:
Context Setting, Explain Monolithic Applications, Define Microservices, Explore the Microservices Architecture, Develop Microservices using NodeJS, Watch and Repeat : Developing Microservices Part1, Watch and Repeat : Developing Microservices Part2, Watch and Repeat : Developing Microservices Part3, Practice Brief, Practice Debrief, Challenge Brief, Challenge Debrief, Learning Consolidation
Context Setting, Explore microservices communication, Implement synchronous communication between microservices, Watch and Repeat : Customer Orders Part1, Watch and Repeat : Customer Orders Part2, Watch and Repeat : Customer Orders Part3, Watch and Repeat : Customer Orders Part4, Explore asynchronous communication between microservices using RabbitMQ, Configure RabbitMQ server for asynchronous messaging, Implement messaging using RabbitMQ, Watch and Repeat : A Simple Messaging System Part1, Watch and Repeat : A Simple Messaging System Part2, Practice Brief, Practice Debrief, Challenge Brief, Challenge Debrief, Learning Consolidation
Course: Los bits y bytes de las redes informáticas
Modules:
Introducción al curso, El modelo de red de cinco capas de TCP/IP, Por qué las redes son importantes, Cables, Concentradores y switches, Routers, Servidores y clientes, Sergio: Su rol como ingeniero de redes, Cómo se transfieren los bits por los cables, Duplexación y cableado con pares trenzados, Puertos de red y paneles de conexiones, Ethernet y direcciones MAC, Unicast, multicast y broadcast, Análisis detallado de la trama Ethernet, Victor: Experiencia práctica en IT
Introducción a la capa de red, La capa de red, DIrecciones IPv4, Datagramas y encapsulamiento IPv4, Clases de direcciones IPv4, Protocolo de resolución de direcciones, Sergio: Mi trayectoria profesional, División en subredes, Máscaras de subred, Operaciones matemáticas básicas en sistema binario, CIDR, Cómo mantenerse motivado en el programa, Conceptos básicos del enrutamiento, Tablas de enrutamiento, Protocolos de puerta de enlace interna, Puertas de enlace exterior, sistemas autónomos y la IANA, Espacio de direcciones no enrutable, Alex: Mi historia de éxito
Introducción a las capas de transporte y aplicación, La capa de transporte, Desglose de un segmento TCP, Marcas de control de TCP y el protocolo de enlace de tres vías, Estados de los sockets TCP, Protocolos orientados a la conexión y no orientados a la conexión, Firewalls, La capa de aplicación, La capa de aplicación y el modelo OSI, Todas las capas funcionan en conjunto, Historia de aprendizaje: Daniel
Introducción a los servicios de redes, Por qué necesitamos DNS, Los numerosos pasos de la resolución de nombres, DNS y UDP, Sergio: Su llegada a la industria de la TI, Tipos de registro de recursos, Anatomía de un nombre de dominio, Zonas DNS, Resumen del DHCP, El DHCP en acción, Fundamentos de la NAT, NAT y la capa de transporte, Redes privadas virtuales, Servicios de proxy
Introducción a la conexión a Internet, Conexión telefónica y módems, Qué es la banda ancha, Tecnologías de portador en T, Líneas de suscriptor digital, Banda ancha por cable, Conexiones de fibra, Tecnologías de redes de áreas extensas, VPN punto a punto, Introducción a las tecnologías de redes inalámbricas, Configuraciones de redes inalámbricas, Canales inalámbricos, Seguridad inalámbrica, Red celular, Redes de dispositivos móviles
Introducción a la solución de problemas y el futuro de las redes, Ping: Protocolo de mensajes de control de Internet, Traceroute, Prueba de la conectividad de puertos, Herramientas de solución de nombres, Servidores DNS públicos, Registro y vencimiento de DNS, Archivos hosts, Qué es la nube, Todo como servicio, Almacenamiento en la nube, Direcciones y subredes IPv6, Encabezados IPv6, Armonía entre IPv6 e IPv4, Representación de una entrevista para un puesto en servicio de redes, Resumen del curso, Alex: Mi trayectoria profesional, Felicitaciones
Course: Introduction to Systems Engineering
Modules:
Course Introduction Video, Module 1 Introduction, Part 1, Part 2, Part 3, Part 4, Part 1, Part 2, Systems Engineering Module 1 Summary (Outro), FEEDBACK: Module 1 Exercises 1 & 2, FEEDBACK: Module 1 Extension Exercise
Module 2 Introduction, Part 1, Part 2, Part 1, Part 2, Systems Engineering Module 2 Summary (Outro), FEEDBACK: Module 2 Exercise 1, FEEDBACK: Module 2 Exercise 2, FEEDBACK: Module 2 Extension Exercise
Module 3 Introduction, Module 3 Part 1, Module 3 Part 2, Module 3 Part 3, Systems Engineering Module 3 Summary (Outro), FEEDBACK: Module 3 Exercise 1, FEEDBACK: Module 3 Exercise 2, FEEDBACK: Module 3 Extension Exercise
Module 4 Introduction, Module 4 Part 1, Module 4 Part 2, Systems Engineering Module 4 Summary (Outro)New Video, FEEDBACK: Module 4 Exercise 1, FEEDBACK: Module 4 Exercise 2, FEEDBACK: Module 4 Extension Exercise
Module 5 Introduction, Module 5 Part 1, Module 5 Part 2, Systems Engineering Module 5 Summary (Outro), FEEDBACK: Module 5 Exercise 1, FEEDBACK: Module 5 Exercise 2, FEEDBACK: Module 5 Extension Exercise
Module 6 Introduction, Module 6 Part 1, Module 6 Part 2, Systems Engineering Module 6 Summary (Outro), FEEDBACK: Module 6 Exercise 1, FEEDBACK: Module 6 Exercise 2, FEEDBACK: Module 6 Extension Exercise
Module 7 Introduction, Module 7 Part 1, Module 7 Part 2, FEEDBACK: Module 7 Exercise 1, FEEDBACK: Module 7 Exercise 2, FEEDBACK: Module 7 Extension Exercise
Module 8 Introduction, Module 8 Part 1, Module 8 Part 2, Module 8 Part 3, Module 8 Part 4, Systems Engineering Module 8 Summary (Outro), FEEDBACK: Module 8 Exercises
Masters of Systems Engineering at UNSW Canberra, Systems Engineering Module 9 Summary(Outro)
Course: Introduction to Data Networks and the Internet - Bachelor's
Modules:
Course Overview, Instructor Welcome, Module 1 Overview, Lesson 1.1: Networks Defined, Lesson 1.2: Network Mediums
Module 2 Overview, Lesson 2.1: OSI Model & TCP Model, Lesson 2.2: Switching - Layer 2, Lesson 2.3: Routing - Layer 3
Module 3 Overview, Lesson 3.1: Configuring Wired Network Devices, Lesson 3.2: Switches, Routers, and Device Overview, Lesson 3.3: Wireless Network Concepts, Lesson 3.4: WiFi Devices, Access points, and POE
Module 4 Overview, Lesson 4.1: Protocols, Lesson 4.2: Network Segmentation
Module 5 Overview, Lesson 5.1: Defining Basic Security Principles, Lesson 5.2: Common Threats and Vulnerabilities, Lesson 5.3: Security Controls for Networks
Module 6 Overview, Lesson 6.1: Capturing Network Traffic, Lesson 6.2: Network Monitoring Concepts
Module 7 Overview, Lesson 7.1: Troubleshooting Methodology, Lesson 7.2: Upper OSI Layer Issues
Module 8 Overview, Lesson 8.1: Software Defined Networking, Lesson 8.2: Cloud Networking Concepts
Course Summative Assessment
Course: Recuperación de proyectos en crisis
Modules:
Introducción al curso
Introducción al módulo 1, ¿Cómo determinar el IPE de mi proyecto?
Introducción al módulo 2, Los problemas con la gestión del tiempo, Los problemas de comunicación
Introducción al módulo 3, El caso del Hospital San Francisco Solano, Ejemplo cómo usar la plantilla de salud del proyecto, Recuperar, rescatar o cancelar
Introducción al módulo 4, El gerente del proyecto y el involucramiento de los diferentes interesados, El proceso de control de cambios y la planeación, Cómo ejecutar el plan de recuperación
Introducción al módulo 5, Vacaciones en la Florida parte 1, Vacaciones en la Florida parte 2, Vacaciones en la Florida parte 3, Vacaciones en la Florida parte 4, Vacaciones en la Florida parte 5, Vacaciones en la Florida parte 6, Vacaciones en la Florida parte 7, Vacaciones en la Florida parte 8, Vacaciones en la Florida parte 9, Vacaciones en la Florida parte 10, Herramientas útiles para la recuperación
Introducción al módulo 6 y categorías de recuperación de proyectos, El mapa de recuperación de proyectos
La ampliación de una red de telefonía celular, El nuevo sistema de transporte de la ciudad, Cierre del curso
Course: Emotions: a Philosophical Introduction
Modules:
Welcome to the course!
What is an emotion and why do we have them? Some definitions, The ABC of emotional processes, Why do emotions exist and how many living entities have emotions?, How did emotions evolve?, Where do emotions happen?
Protoemotions, the Holy Grail of protostudies, A taxonomy of emotions, The geography of emotions: Guilt vs Shame cultures, Aware: attention, data selection and the aesthetical feeling of ahness, L2.5. No pain, no gain? The modulatory nature of emotions
From nonsense to sense? A bacterial dilemma, Animal emotion, The qualia problem, Conscious vs Unconscious emotions, Ghost and chronic emotions
Unemotional neurons but emotional brains, Emotions without brains?, Emotions, empathy and ethics: neuroethical challenges, The moral control of the emotional mind, The social management of emotions
The classic Western debates on the nature of emotions, The classic Eastern debates on the nature of emotions, The methodological debates on emotions across history, The transdisciplinarity of emotional studies: an epistemological gap, Damasio’s success and Descartes’s error, the new fashion (or trend?)
Neural Nets, Emotional Architectures, Affective computing, Social robotics and HRI, Emotional machines and singularity?
Course: Mastering Negotiation Skills & Strategies
Modules:
Meet Your Faculty: Sarah Woodside, Module Overview, Negotiation Everyday, Substance, Relationship, Process, Negotiation Fundamentals: BATNA, Overcoming Anxiety: Preparation, Mayo Spotlight: Joe Dudas Negotiation Roundtable Part 1, Mayo Spotlight - Negotiation Roundtable: Aaron Chan, Overcoming Anxiety: Mindset and Communication, Rights, Power, and Interest Approaches, What is Negotiation Success?, Interests, Options, Expanding the Pie: Value Creation
Module Overview, The 7 Elements Introduced, Objective Standards, Communication & The Power of Listening, Relationship, Alternatives & Commitment, The Power of Preparation
Module Overview, Biases in Negotiation, The Mythical "Fixed Pie", Overconfidence, Fundamental Attribution Error and Reactive Devaluation, Status Quo Bias, Nonrational Escalation, Agreement Bias
Module Overview, Win-Lose Negotiation, Hardball Tactics, How Hardball Tactics Work, Typical Responses to Hardball Tactics, The Balcony, Inquiry and Reframing, Changing the Parties, Change the Process or Choose your BATNA
Course: Database Design and Basic SQL in PostgreSQL
Modules:
Welcome to PostgreSQL!, History of Relational Databases, Bonus Video: Elizabeth Fong and SQL Standards, SQL Architecture, Using PythonAnywhere to Run SQL, Using the DBeaver Client to Run SQL Commands, Dr. Chuck Goes Racing - Joliet, Illinois, USA, Office Hours - London (Very close to PythonAnywhere)
Working with Tables and PostgreSQL, Data Types in PostgreSQL, Database Keys and Indexes in PostgreSQL, Musical Track Database (CSV), Dr. Chuck Sings the Blues in Geneva, Switzerland (Near CERN), Office Hours - Kyoto, Japan
Relational Database Design Part 1, Relational Database Design Part 2, Keys, Database Normalization, Building Tables, Inserting Data, Using JOIN Across Tables, Office Hours at Bletchley Park, Milton Keynes, England, Office Hours, Philadelphia, Pennsylvania, USA
Many-to-Many Relationships, Demonstration: Database Design and Many to Many, Up Next - Beyond CRUD (Create, Read, Update, Delete) and JOIN, Office Hours - Capetown, South Africa, Office Hours - Raleigh, North Carolina, USA
Course: Managing Customer Expectations with Jagdish Sheth
Modules:
Intro Video, How to Manage Diverging Customer Expectations 01, How to Manage Diverging Customer Expectations 02, How to Manage Diverging Customer Expectations 03, How to Manage Diverging Customer Expectations 04, How to Manage Diverging Customer Expectations 05, How to Manage Diverging Customer Expectations 06, How to Manage Diverging Customer Expectations 07, How to Manage Diverging Customer Expectations 08, How to Manage Diverging Customer Expectations 09, How to Manage Diverging Customer Expectations 10, How to Manage Diverging Customer Expectations 11, How to Manage Diverging Customer Expectations 12, How to Manage Diverging Customer Expectations 13, How to Manage Diverging Customer Expectations 14, How to Manage Diverging Customer Expectations 15, How to Manage Diverging Customer Expectations 16, How to Manage Diverging Customer Expectations 17, How to Manage Diverging Customer Expectations 18, How to Manage Diverging Customer Expectations 19, How to Manage Diverging Customer Expectations 20
How to Manage Diverging Customer Expectations 21, How to Manage Diverging Customer Expectations 22, How to Manage Diverging Customer Expectations 23, How to Manage Diverging Customer Expectations 24, How to Manage Diverging Customer Expectations 25, How to Manage Diverging Customer Expectations 26, How to Manage Diverging Customer Expectations 27, How to Manage Diverging Customer Expectations 28, How to Manage Diverging Customer Expectations 29, How to Manage Diverging Customer Expectations 30, How to Manage Diverging Customer Expectations 31, How to Manage Diverging Customer Expectations 32, How to Manage Diverging Customer Expectations 33, How to Manage Diverging Customer Expectations 34, How to Manage Diverging Customer Expectations 35, How to Manage Diverging Customer Expectations 36, How to Manage Diverging Customer Expectations 37, How to Manage Diverging Customer Expectations 38, How to Manage Diverging Customer Expectations 39, How to Manage Diverging Customer Expectations 40, How to Manage Diverging Customer Expectations 41