dipopotamus/custom_instruct_coursera_course_module_list huggingface dataset:
Course: Technology Commercialization, Part 1: Setting up your Idea Filtering System
Modules:
Intro to the Course, Welcome to the Revolution, Interview with Rob Clark, Senior Vice President for Research and Dean of Engineering & Applied Sciences, Interview with Duncan Moore, Vice Provost for Entrepreneurship, Innovation Creed Books, Dimensions around Innovation: Setting, Scope, Change, Dimensions around Innovation: Technology, Dimensions around Innovation: Integration, Dimensions around Innovation: Reach, Personal Drivers: Your Innovation Creed, Team Creed, Instructions for Week #1 Assignment
Top Challenges That Stunt Commercialization: #1 -­‐#2, Top Challenges That Stunt Commercialization: #3 -­‐ #7, Top Challenges That Stunt Commercialization: #8 -­‐ #16, Questions That Uncover These Challenges, Interview with Andrew Ainslie, Dean of the Simon Graduate School of Business, Interview with Bill Anderson, Vice President of Business Development at Excelsior Medical
Intro to Week #3, Perfect Answers to the World’s Perfect Idea, Customizing YOUR Idea Filter: Add a Factor, Tweak the Wording, Assign Weights, Customizing YOUR Idea Filter: Calibrate the Rating Scale, Determine Hurdles, Test the Filter, Idea Filter Books, Medical Devices, Week 3 Assignment Part 1, Idea Filter for Radical Invention, Week 3 Assignment Part 2
Intro to Week #4, Life-Style Vs Investable/Scalable Innovation, Social Entrepreneurship, Radical vs Incremental Innovation, Using the Filter: Green Crayon Filtering, Hypothetical Idea Being Scored, Using the Filter to Rate a Collection of Ideas, David Chauncey: Introduction & Filter Set Up, David Chauncey: Corporate Business Development, David Chauncey: Rendering the Possibilities, David Chauncey: Sales Calls and the Back of an Envelope, Closing Message
Course: Azure Data Lake Storage Gen2 and Data Streaming Solution
Modules:
Introduction to the course, Lesson introduction, Understand Azure Data Lake Storage Gen2, Compare Azure Data Lake Store to Azure Blob storage, Understand the stages for processing big data by using Azure Data Lake Store, Examine uses for Azure Data Lake Storage Gen2, Lesson summary, Lesson introduction, Lesson summary
Module introduction, Explore Azure Storage security features, Storage account keys, Shared access signatures, Control network access to a storage account, Advanced threat protection for Azure Storage, Azure Data Lake Storage security features, Module summary
Lesson introduction, Understand data streams, Understand event processing, Process events with Azure Stream Analytics, Lesson summary, Lesson introduction, Create an Event Hub using the Azure CLI, Configure applications to send or receive messages through an Event Hub, Evaluate the performance of the deployed Event Hub using the Azure portal, Lesson summary, Lesson introduction, Understand stream processing, Process streaming data with Azure Stream Analytics, Describe windowing functions, Lesson summary
Course recap, Course summary
Course: Conflict Transformation
Modules:
Welcome and an Introduction to the Course, Conflict Transformation Introduced, Understanding Conflict, The Four Dimensions of Change, Conflict Is a Nested Phenomenon, Constructive Change and Nonviolent Resistance, Week 1 Recap
Self-Assessment Overview, The Five Conflict Styles, Which Style Is Best for What Kind of Conflict?, The Brain's Response to Conflict, The Body's Response to Conflict, Week 2 Recap
Analyzing Conflict Overview, "Trouble at the Bus Stop", The ABC Tool, The Onion Tool, The Tree Tool, Week 3 Recap
Engaging Conflict from a Middle Ground, Phases of the Mediation Process, The Role of the Mediator, Mediation Demonstration, Defining a Circle Process, Elements of the Circle Process, Week 4 Recap
Other Conflict Considerations, How to Deal with Conflict Erupting Out of Nowhere, How to Deal with Ongoing Conflict, Identifying Deeper Issues, Week 5 Recap
Course: Getting Started with Cloud Foundry
Modules:
Introduction to the Course, Meet Your Instructor, What you will learn in this lesson, What is Cloud Foundry? - An Overview, Cloud Foundry Architecture and Components, Setting Up a Cloud Foundry Account and Environment, What you will learn in this lesson, Preparing Your Application for Cloud Foundry, Managing Application Instances and Scaling
What you will learn in this lesson, Services and Marketplace in Cloud Foundry, Binding Services to Applications, Monitoring and Logging with Cloud Foundry, What you will learn in this lesson, Continuous Integration/Continuous Deployment (CI/CD) in Cloud Foundry, Understanding Container Management in Cloud Foundry, Best Practices for Cloud Foundry Security and Compliance
Course: Data Processing and Feature Engineering with MATLAB
Modules:
Practical Data Science with MATLAB, Overview of Data Processing and Feature Engineering, Instructor Introduction, Introduction to Module 1, Introduction to the Flights Dataset, Exploring the Flights Dataset, Describing Distributions, Examples of Distributions, Visualizing Multidimensional Data, Summary of Module 1: Surveying Your Data
Introduction to Module 2: Organizing Your Data, Working with Strings, Working with Dates and Times, Importing Multiple Data Files, Combining Data, Joining Tables, Sorting Your Data, Summary of Module 2: Organizing Your Data
Introduction to Module 3: Cleaning Your Data, Identifying Missing Data, Handling Missing Data, Identifying Outliers, Investigating Outliers, Normalizing Data, Examples of Normalizing Data, Smoothing Data, Summary of Module 3: Cleaning Your Data
Introduction to Module 4: Finding Features that Matter, Introduction to Feature Engineering, Introduction to Unsupervised Learning, Introduction to Clustering Algorithms, Evaluating Features, Introduction to Dimensionality Reduction and PCA, Summary of Module 4: Finding Features that Matter
Introduction to Module 5: Domain-Specific Feature Engineering, Feature Engineering Workflow, Synchronizing Data with Timetables, Summary Statistics as Features, Finding Peaks, Optional: Recording Sensor Data with MATLAB Mobile, Feature Engineering and Clustering with Images, Feature Engineering with Text, Feature Engineering with Storm Events, Summary of Module 5: Domain-Specific Feature Engineering, Summary of Data Processing and Feature Engineering
Course: Bienvenidos al español: A1.1
Modules:
Bienvenida e introducción, Conciencia fonológica, Clase 1: Los saludos y el alfabeto en español, Clase 2: Presentaciones en español, Clase 3: Las presentaciones en español: indicar origen y ocupación, Clase 4: Descripción física de personas
Clase 5: Describir la personalidad y los estados de ánimo, Clase 6: Ubicar lugares en español, Clase 7: Indicar ubicación en español.  La ciudad, Clase 8: Preguntar por existencia o ausencia de cosas
Clase 9: El presente regular y algunos verbos de uso frecuente, Clase 10: La casa y verbos relacionados con ella, Clase 11: Verbos reflexivos y acciones cotidianas, Clase 12: Vocabulario relacionado con el día, la hora y la fecha
Clase 13: Indicar ubicación, Clase 14: La familia y sus objetos, Clase 15: La oración en español, Clase 16: Interactuar de manera básica en español
Course: Introduction to Model-Based Systems Engineering
Modules:
Welcome to the Course, Managing Systems Complexity, Systems Complexity, Characteristics and Emergence, System of Systems Definition and Characteristics, System Thinking Definition & Example, An Introduction to System Models, MBSE as a System Model, An Introduction to System Architecture, The Architecture Definition Process and Defining Form, The Architecture Definition Process and Defining Form, OPM Analytical Representation of a Function, Defining and Generating a Concept, Relating OPM to System Architecture, System Verification, Validation and Optimization
An Introduction to Systems Engineering, An Introduction to Systems Engineering Technical Processes, Business or Mission Analysis Process, Stakeholder Needs and Requirements Definition Process, System Requirement Definition Process, System Requirements Key Concepts and Attributes, Architecture Definition Process, Design Definition Process, System Analysis Process, Implementation Process, Integration Process, Verification Process, Transition Process, Validation Process, Operation Process, Maintenance Process, Disposal Process, An Introduction to Model-Based Systems Engineering, Terminology, Concepts, and Models of MBD, MBE, and MBSE
An Introduction to the Integrated MBSE Framework, Why Integrated Model Based Systems Engineering (iMBSE), Applying Siemens iMBSE Framework to Siemens Digital Innovation Platform, Object Oriented Systems Engineering, Object Process Methodology, ARCADIA, IBM Harmony SE, ALSTOM ASAP (Advance System Architect Program), An Introduction to Modeling Languages, OPM Examples
An Introduction to SysML, An Overview of SysML Diagrams and Pillars, Modeling an Example Using SysML, OPM vs. SysML, SysML Adaptive Cruise Control Example, The Operational Analysis Phase, The System Requirement Analysis Phase, The Logical Architecture Definition Phase, The Physical Architecture Definition Phase
An Introduction to ARCADIA Methodology, ARCADIA/Capella and The Operational Analysis Phase, ARCADIA/Capella and The System Analysis Phase, ARCADIA/Capella and The Logical Architecture Phase, ARCADIA/Capella and The Physical Architecture Phase, System Architecture Example, ARCADIA/Capella Method Operational Analysis (OA), ARCADIA/Capella Method System Requirements Analysis, ARCADIA/Capella Method Logical Architecture Definition, ARCADIA/Capella Method Physical Architecture Definition, System Modeling Tools
Course: Fundamentals of Scientific Research Under Uncertainty
Modules:
Course Introduction, Research Motivations, Importance of Scientific Research, Spectrum of Research Activities, Where is Research Conducted? Part 1 - Universities, Where is Research Conducted? Part 2 - Government, Where is Research Conducted? Part 3  - Industry and IRIs
What Makes an Explanation Scientific?, Non-scientific Explanations: Part 1 - Non-science, Non-scientific Explanations: Part 2 - Protoscience and Pseudoscience, Methods of Inquiry: Part 1 - A Brief Overview, Methods of Inquiry: Part 2 - The Scientific Method
Language of Scientific Investigation, More on Theories, Steps of the Research Process, How is the Research Process Scientific?
What is Uncertainty?, Essentials of Set Theory, Essentials of Probability, Law of Total Probability, Bayes' Rule, Bayes' Rule: An Example
Uncertainty Quantification & The Scientific Method, Uncertainty Quantification & The Research Process, What Makes a Good Hypothesis?, Bayesian Hypothesis Testing, Testing Multiple Hypotheses
Course: Introduction to Abnormal Psychology
Modules:
Introduction to Abnormal Psychology, Assessment, Diagnosis, and Classification, The Biological Model, The Psychodynamic Model, The Cognitive Behavioral Model, The Humanistic Model, The Sociocultural Model, Good Mental Health
Introduction to Mood Disorders, Depressive and Bipolar Disorders, Models of Understanding Depressive and Bipolar Disorders, Treatment Interventions, Sociocultural and Multicultural Considerations, Active Listening and Core Supportive Skills, Part 1
Introduction to Anxiety Disorders, Major Anxiety Disorders, Models of Understanding Anxiety Disorders, Treatment Interventions, Sociocultural and Multicultural Considerations, Active Listening and Core Supportive Skills, Part 2
Introduction to Stress and Trauma, Acute Stress Disorder and Post-Traumatic Stress Disorder, Models for Understanding Acute Stress Disorder and PTSD, Treatment Interventions, Sociocultural and Multicultural Considerations, Noticing Another's Distress and Handling a Difficult Conversation
Introduction to Schizophrenia, Prevalence, Impact, and Related Disorders, Models for Understanding Schizophrenia, Treatment Interventions, Sociocultural and Multicultural Considerations, What If You Are Concerned about Suicide?
Course: Create Program Changes with Power Skills & Digital Enablers
Modules:
1.0.1 Introduction to the Course, 1.1.1 The Future of Business Video, 1.2.1 Change Culture Video, 1.3.1 Change Matters Video, 1.4.1 The Inspiring Program Stories Video, 1.5.1 Transformation Qualities Video
2.1.1 Adapting across the Life Cycle Video, 2.2.1 Program Stakeholder Video, 2.3.1 Engaging Stakeholders Video, 2.4.1 Engagement Strategies for Fit Video, 2.5.1 Sensing and Responding Video
3.1.1 The Skills Revolution Video, 3.2.1 Not Soft Skills Anymore Video, 3.3.1 The Program Success Link Video, 3.4.1 Power Skills Mastery Video, 3.5.1 The Program Management Professional Video
4.1.1 AI Is Here to Stay Video, 4.2.1 The Digital Edge Video, 4.3.1 Managing with Intelligence Video, 4.4.1 Communicating is Human Video, 4.5.1 Achieving Balance Video
Congrats!!!, Please Leave a Rating!, Don't Forget to Claim You Some PDUs!, Continue with UMD, Join an Information Session, Five Stars Please :)
Course: Bases de la gestion de projet
Modules:
Bienvenue dans le Google Project Management Certificat Professionnel, Introduction au cours 1, Qu’est-ce que la gestion de projet ?, Que fait un chef de projet ?, Compétences transférables à la gestion de projet, Parcours pour devenir un chef de projet, Du certificat à la réussite professionnelle, Trouver le poste parfait, Gilbert : Compétences en gestion de projet dans mon rôle, Synthèse
Introduction : devenir un gestionnaire de projet efficace, La valeur d'un gestionnaire de projet, JuAnne : parcours pour devenir un gestionnaire de projet, Rôles et responsabilités clés du gestionnaire de projet, Le rôle d'un gestionnaire de projet au sein d'une équipe, Elita : Une journée dans la vie d'un gestionnaire de projet, Les compétences de base d'un gestionnaire de projet, Rachel : mon parcours pour devenir un gestionnaire de projet, Leadership et dynamique d'équipe, Ellen : caractéristiques d’un bon gestionnaire de projet, Synthèse
Introduction : Le cycle de vie et les méthodologies de gestion de projet, Explorer les phases du cycle de vie du projet, Phases en action : Lancement et planification, Phases en action : Exécution et bouclage, Introduction aux méthodologies de gestion de projet, Présentation de Waterfall et Agile, Présentation de Lean et Six Sigma, Synthèse
Introduction : structure et culture organisationnelle, Vue d’ensemble des structures classiques et matricielles, Impact de la structure organisationnelle sur la gestion de projet, LAN : Travailler dans un bureau de la gestion de projet, Introduction à la culture organisationnelle, Amar : Gestion de projet dans la vie et au sein de l’organisation, Introduction à la gestion du changement, Participer à la gestion du changement, Préparer votre recherche d’emploi, Félicitations ! Ce qui vous attend dans le cours 2
Course: Creative Writing: The Craft of Character
Modules:
Conception, The Conflict Within (Shop Talk with Brando Skyhorse), Desire and Goals, Hearing, Selecting, and Seeing, Feedback Expectations for the Specialization
Visiting Writer: Richard Blanco, Voice, Making Them Matter to the Reader (with Visiting Writer Dani Shapiro), The Story Reveals Who We Are (Shop Talk with Salvatore Scibona)
Inflection, Picking Your Point of View (Shop Talk with Amity Gaige), Conversation's Greatest Hits, Idiosyncrasies
What We Do and How We Do It, The Relationship Between the Character and the Wide World (with Visiting Writer Valerie Martin), Voice of Narrator, Voice of Narrative
Course: Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls
Modules:
Course overview: Machine Learning Under the Hood, P-hacking: a treacherous pitfall, P-hacking: your predictive insights may be bogus, P-hacking: how to ensure sound discoveries, Avoiding overfitting: the train/test split, Why ice cream is linked to shark attacks, Causation is just a hobby -- prediction is your job, The art of induction: why generalizing from data is hard, Learning from mistakes: why negative cases matter, Intro to the hands-on assessment (Excel or Google Sheets)
A refresher on decision trees, Business rules rock and decision trees rule, Pruning decision trees to avoid overfitting, DEMO - Comparing decision tree models (optional), Drawing the gains curve for a decision tree, Drawing the profit curve for a decision tree, Naïve Bayes, Linear models and perceptrons, Linear part II: a perceptron in two dimensions, Why probabilities drive better decisions than yes/no outputs, Logistic regression, DEMO - Training a logistic regression model (optional)
How neural networks work, Neural nets: decision boundaries & a comparison to logistic regression, DEMO - Training a neural network model (optional), Deep learning, Ensemble models and the Netflix Prize, Supercharging prediction: ensembles & the generalization paradox, DEMO - Training an ensemble model (optional), DEMO - Autotuning a machine learning model (optional), Compare and contrast: summary of ML methods, Machine learning software: dos and don'ts for choosing a tool, Machine learning software: how tools vary and how to choose one, Model deployment: out of the software tool and into the field, Uplift modeling I: optimize for influence and persuade by the numbers, Uplift modeling II: modeling over treatment and control groups, Uplift modeling III: how it works – for banks and for Obama, Uplift modeling IV: improving churn modeling, plus other applications
Machine bias I: the conundrum of inequitable models, Machine bias II: visualizing why models are inequitable, Machine bias III: justice can't be colorblind, Explainable ML, model transparency, and the right to explanation, Conclusions on ML ethics: establishing standards as a form of social activism, Pitfalls: the seven deadly sins of machine learning, Conclusions and what's next – continuing your learning
Course: Managerial Accounting Fundamentals
Modules:
Welcome and Course Overview, What Is Managerial Accounting?, Three Sets of Books, Financial Versus Managerial Accounting, Different Costs for Different Purposes, Different Costs in More Detail, Cost Behavior, Using a Line to Represent Cost Behavior, Estimating Cost Functions Using Scatter Plots, Your Turn: Estimating Cost Functions Using Scatter Plots Problem 1, Your Turn: Estimating Cost Functions Using Scatter Plots Problem 2, Estimating Cost Functions Using the High-Low Method, Your Turn: Estimating Cost Functions Using the High-Low Method Problem 1, Your Turn: Estimating Cost Functions Using the High Low Method Problem 2, Important Caveats, JW Sports Supplies Case Introduction
Week 2 Overview, What Is CVP Analysis?, Functional Versus Contribution Margin Income Statements, Breakeven Analysis, Your Turn: Breakeven Analysis Company A, Your Turn: Breakeven Analysis Company B, Your Turn: Breakeven Analysis Company C, Your Turn: Breakeven Analysis Company D, Interested in Doing More than Breakeven?, Your Turn: Doing More than Breakeven Company A, Your Turn: Doing More than Breakeven Company B, Your Turn: Doing More than Breakeven Company C, Your Turn: Doing More than Breakeven Company D, CVP Analysis with Multiple Products, Your Turn: CVP Analysis with Multiple Products
Week 3 Overview, The Flow of Costs, The Flow of Costs in More Detail, Cost Systems, Allocating Overhead Costs, Designing Cost Allocation Systems, Your Turn: Allocating Overhead Costs Problem 1, Your Turn: Allocating Overhead Costs Problem 2, Traditional Cost Allocation Systems, Activity-Based Costing, Beyond Manufacturing Costs, Your Turn: Activity-Based Costing Problem 1, Your Turn: Activity-Based Costing Problem 2, To Use Activity-Based Costing or Not?
Week 4 Overview, Relevant Costs and Benefits, Important Terms, Relevant Costs in an Example, Your Turn: Relevant Costs and Benefits, Special Order Decision, Your Turn: Special Order Decision, Make or Buy Decision, Your Turn: Make or Buy Decision, Keep or Drop a Product Line Decision, Your Turn: Keep or Drop a Product Line Decision, Product Mix Decisions, Your Turn: Product Mix Decisions, Course Conclusion
Course: Advanced C# Programming in .NET Core
Modules:
Advanced C# Programming in .NET Core - Introduction to Course, Introduction to Delegates in C#, Working with Event Handlers, Practical Examples of Delegates and Events, Understanding Lambda Expressions, LINQ Query Syntax vs. Method Syntax, Querying Databases with LINQ, Introduction to Generics in C#, Creating Generic Classes and Methods Part 1, Creating Generic Classes and Methods Part 2, Introduction to Asynchronous Programming in C#, Working with Async and Await
Understanding Dependency Injection, Implementing Dependency Injection in .NET Core Part 1, Implementing Dependency Injection in .NET Core Part 2, Creating Custom Middleware Components, Managing Application Configuration Settings, Implementing Logging in .NET Core, Introduction to Scalability Patterns, Building Microservices with .NET Core, Containerization and Orchestration (e.g., Docker and Kubernetes), Understanding MVVM Pattern, Implementing MVC in .NET Core
Introduction to Entity Framework Core, Creating and Migrating Databases Part 1, Creating and Migrating Databases Part 2, Creating and Migrating Databases Part 3, Introduction to NoSQL Databases, Using MongoDB with .NET Core, Introduction to Caching in .NET Core, Distributed Caching with Redis, Cache Invalidation and Refresh Strategies, Implementing Asynchronous Data Access, Async/Await Patterns for Database Operations
Graceful Exception Handling in C#, Implementing Custom Exception Classes, Leveraging Logging Frameworks (e.g., Serilog), Implementing Diagnostics and Tracing, Handling Errors in Web API Endpoints, Handling Errors in Microservices, Advanced C# Programming in .Net Core - Course Conclusion
Course: Penetration Testing, Incident Response and Forensics
Modules:
Introduction to Penetration Testing, What is Penetration Testing?, Penetration Testing - Planning, Penetration Testing - Discovery, Penetration Testing - Additional Discovery Details, Penetration Testing - Attack, Penetration Testing - Reporting, Tools
Incident Response Overview, What is Incident Response?, Incident Response Preparation, Incident Response Detection & Analysis, Containment, Eradication & Recovery, Post Incident Activities, Incident Response Demo, Part 1, Incident Response Demo, Part 2, Incident Response Demo, Part 3
Module Overview, What are Forensics?, Data Collection & Examination, Analysis & Reporting, Data Files, Operating System Data, Application Data, Network Data
Module Overview, History of Scripting, Scripting Concepts, Scripting Languages, Shell Scripting Basics, Python Basics, Python Getting Started, Data Structures, Functions and Methods, Python Libraries
Course: Advanced Statistical Analysis and Tools
Modules:
Course introduction, Process analysis tools, Data collection, Measurement systems, Graphical tools and statistical analysis, Data distribution methods, Process capability, Short-term and long-term capability
Correlation coefficient, Regression analysis, Sources of variation, Fundamental concepts of hypothesis testing, Estimates, means, variations, and proportions, Analysis of variance (ANOVA) and goodness-of-fit (chi-square), Methods of risk and waste analysis
Design of experiments (DOE): Key concepts and principles, Design of experiments (DOE): Types of experiments, Lean methods and implementation for process improvement, Statistical process control (SPC) and other controls, Sustaining improvements
Course Wrap-up
Course: Predicting Extreme Climate Behavior with Machine Learning
Modules:
Introduction to the Course, Meet the Instructor, Introduction to Unsupervised Learning and Techniques, PCA Overview, PCA in Terms of SVD, PCA on Soil Temperature Data: Notebook Walkthrough
Introduction to K-Means Clustering, K-Means Clustering Mathematical, What is Clustering: Notebook Walkthrough
Introduction to Statistical Regression: Notebook Walkthrough, Introduction to Multiple Linear Regression: Notebook Walkthrough
Introduction to Logistic Regression: Theoretical, Introduction to Logistic Regression: Notebook Walkthrough, Introduction to Decision Trees: Theoretical, Introduction to Decision Trees: Practical Notebook Walkthrough, Support Vector Machines: Part 1, Support Vector Machines: Part 2, Support Vector Machines: Part 3, Support Vector Machines: Part 4, Introduction to Support Vector Machines: Practical Notebook Walkthrough
Introduction to Neural Networks: Part 1, Introduction to Neural Networks: Part 2, Applying Neural Networks on Climate Data for Drought Severity
Course: Microsoft 365 Copilot: Personal Productivity for All
Modules:
What is Copilot?, What is a Large Language Model and What is Generative AI?, Which Tool Do I Use? (part 1), Which Tool Do I Use? (part 2), Think Through Problems in Chat First, Then Build Documents, Presentations, and Spreadsheets, Think More, Not Less, Ask for Options, Five Components of Prompts, Context & the Flipped Interaction Pattern, Information & Retrieval Augmented Generation, Citations in the Conversation, Examples & In-context Learning, Output Formatting: the Template Pattern, Trigger: Sending the Chat Down the Right Path, Prompt Patterns & The Persona Pattern, Building Personas with Content, Audience Persona, Question Generator Pattern, The Keen Pattern, The ACHIEVE Framework, A: Aid Human Coordination, Related Tasks, C: Cut Tedious Tasks, H: Help Provide a Safety Net, IEV: Inspire Better Problem Solving & Creativity, Skeptic Pattern, E: Enable Great Ideas to Scale Faster, Final Thoughts & Thank You
Course: Introducción a la estrategia
Modules:
Modelos conductuales (parte 1), Modelos conductuales (parte 2)
Planeación estratégica, Misión, Visión, Valores, Objetivos, Ejemplos de planeación estratégica, Planeación estratégica japonesa “Hoshin Kanri”
Matriz FODA, Análisis de las cinco fuerzas de Michael Porter, Análisis PEST
Organigramas, Descripción de puestos
Business Start-Up
Course: Data Structures and Algorithms (III)
Modules:
写在选课之前, 考核方式, 课程教材与讲义, 关于讨论区, 微信平台
08-A1-1：宽松平衡, 08-A1-2：局部性, 08-A1-3：自适应调整, 08-A1-4：逐层伸展, 08-A1-5：实例, 08-A1-6：一步一步往上爬, 08-A1-7：最坏情况, 08-A2-1：双层伸展, 08-A2-2：子孙异侧, 08-A2-3：子孙同侧, 08-A2-4：点睛之笔, 08-A2-5：折叠效果, 08-A2-6：分摊性能, 08-A2-7：最后一步, 08-A3-1：功能接口, 08-A3-2：伸展算法, 08-A3-3：四种情况, 08-A3-4：查找算法, 08-A3-5：插入算法, 08-A3-6：删除算法, 08-A3-7：综合评价, 08-B1-1：640KB, 08-B1-2：越来越大的数据, 08-B1-3：越来越小的内存, 08-B1-4：一秒与一天, 08-B1-5：分级I/O, 08-B1-6：1B = 1KB, 08-B2-1：观察体验, 08-B2-2：多路平衡, 08-B2-3：还是I/O, 08-B2-4：深度统一, 08-B2-5：阶次含义, 08-B2-6：紧凑表示, 08-B2-7：BTNode, 08-B2-8：BTree, 08-B3-1：算法过程, 08-B3-2：操作实例, 08-B3-3：算法实现, 08-B3-4：主次成本, 08-B3-5：最大高度, 08-B3-6：最小高度
08-B4-1：算法框架, 08-B4-2：分裂, 08-B4-3：再分裂, 08-B4-4：分裂到根, 08-B4-5：实例演示, 08-B5-1：算法框架, 08-B5-2：旋转, 08-B5-3：合并, 08-B5-4：实例演示, 08-B5-5：道法自然, 08-XA1-1：观察体验, 08-XA1-2：持久性, 08-XA1-3：关联性, 08-XA1-4：O(1)重构, 08-XA2-1：定义规则, 08-XA2-2：实例验证, 08-XA2-3：提升变换, 08-XA2-4：末端节点, 08-XA2-5：红黒树，即是B-树, 08-XA2-6：平衡性, 08-XA2-7：接口定义, 08-XA3-1：以曲为直, 08-XA3-2：双红缺陷, 08-XA3-3：算法框架, 08-XA3-4：RR-1, 08-XA3-5：RR-2, 08-XA3-6：归纳回味, 08-XA4-1：以曲为直, 08-XA4-2：算法框架, 08-XA4-3：双黑缺陷, 08-XA4-4：BB-1, 08-XA4-5：反观回味, 08-XA4-6：BB-2R, 08-XA4-7：BB-2B, 08-XA4-8：BB-3, 08-XA4-9：归纳体味
09-B-1：从服务到电话, 09-B-2：循值访问, 09-B-3：数组, 09-B-4：原理, 09-B-5：散列, 09-B-6：冲突, 09-C-1：冲突难免, 09-C-2：何谓优劣, 09-C-3：整除留余, 09-C-4：以蝉为师, 09-C-5：M+A+D, 09-C-6：平方取中, 09-C-7：折叠汇总, 09-C-8：伪随机数, 09-C-9：多项式, 09-C-A：Vorldmort, 09-C-B：DSA@THU, 09-D1-1：一山二虎, 09-D1-2：泾渭分明, 09-D1-3：开放定址, 09-D1-4：线性试探, 09-D1-5：懒惰删除, 09-D2-1：平方试探, 09-D2-2：一利一弊, 09-D2-3：至多半载, 09-D2-4：M + Lemda, 09-D2-5：双蜓点水, 09-D2-6：4k + 3, 09-D2-7：双平方定理, 09-D2-8：泾渭分明, 09-E-1：大数据 + 小范围, 09-E-2：桶排序, 09-E-3：计数排序
无线广播 (Broadcast), 平均气温 (Temperature), 重名剔除 (Deduplicate)
Course: Description Design for Interactive Learning Resources
Modules:
Introduction and Overview, What is Description Design?, Description Design Framework, Intro to Screen Reader Software, Getting Started with Screen Reader Software: VoiceOver, Getting Started with Screen Reader Software: NVDA, Getting Started with Screen Reader Software: JAWS, Choosing an Interactive to Describe, More PhET Sims - Possible Design Projects
Intro to State Descriptions: Part 1, Intro to State Descriptions: Part 2, Static and Dynamic State Descriptions, Static State Description Design Patterns, Documenting Description Design, Tips for Designing Navigation Order, Help Text and Design Task #2
Intro to Dynamic State Descriptions, Dynamic Summary Text and Design Task #3, Intro to Qualitative Scales, Dynamic Representations and Object Details, Dynamic Object Names and Help Text, Refining State Descriptions, Writing Style for Interactive Description
Intro to Responsive Descriptions, Intro to Object Responses: Part 1, Intro to Object Responses: Part 2, Intro to Context Responses: Part 1, Intro to Context Responses: Part 2
Putting it All Together: Evaluating the Interactive Story, Investigating the Learner Experience: Part 1, Investigating the Learner Experience: Part 2, Preparing for Publication and Beyond, A Design Challenge for Gravity Force Lab: Basics
Course: Strategic management: Be competitive
Modules:
Course overview and introduction, Week 1 outline, The nature of value, What is competitive strategy?, Week 1 Habit Corner
Week 2 outline, Customer analysis and segmentation, Competitor analysis
Week 3 outline, Know the forces that drive your industry, Macro-environmental factors
Week 4 outline, Generic competitive strategies, Differentiation (+ Focus), Cost Leadership (+ Focus)
Week 5 outline, Internal and external fit, The resource-based view on strategy, Option evaluation
Week 6 Outline, Portfolio analysis / ambidexterity, Creating value through firm growth / The Ansoff matrix, Blue Ocean strategy overview / Value innovation
Course: Learning for a Sustainable Future
Modules:
Geological timeline, What does sustainability mean to me?, What did you have for breakfast?
Ways of knowing, Sustainability Story 1: Jack Reed, Sustainability Story 2: Zarina Ahmad, Sustainability Story 3: SCOREScotland, Sustainability Story 4: Jennifer Ba, Sustainability Story 5: Sian Henley
Welcome to Week 3!, Systems, Connections, Intersectionality, Investigation: Systems Web, Reflecting on learning, Learning starting points, Learning tools and resources
Part 1: Conversation with Dave Reay, Part 2: Conversation with Dave Reay
Sustainability Story 1 revisited: Jack Reed, Sustainability Story 2 revisited: Zarina Ahmad, Sustainability Story 3 revisited: SCOREScotland, Sustainability Story 4 revisited: Jennifer Ba, Sustainability Story 5 revisited: Sian Henley
Course: Using AWS Solutions: AWS Cloud Migration Factory
Modules:
Using AWS Solutions: AWS Cloud Migration Factory
Course: Preparing for Professional Data Engineer Journey - Español
Modules:
Introducción al curso, Descripción general del módulo, Introducción al rol Professional Data Engineer, Valor y beneficios de la certificación, Proceso de certificación, Cómo crear tu plan de estudio
Descripción general del módulo, Migra datos de centros de datos privados a Google Cloud para Cymbal Retail, Introducción: Preguntas de diagnóstico, Demostración de práctica de las preguntas de diagnóstico, Tu plan de estudio
Descripción general del módulo, Transfiere y procesa datos para Cymbal Retail, Introducción: Preguntas de diagnóstico, Tu plan de estudio
Descripción general del módulo, Almacena los datos de Cymbal Retail, Introducción: Preguntas de diagnóstico, Tu plan de estudio
Descripción general del módulo, Prepara y usa los datos de Cymbal Retail para el análisis, Introducción: Preguntas de diagnóstico, Tu plan de estudio
Descripción general del módulo, Mantén y automatiza cargas de trabajo en Cymbal Retail, Introducción: Preguntas de diagnóstico, Tu plan de estudio
Descripción general del módulo, Objetivos de estudio semanales
Course: Forming, Funding, and Launching a Technology Startup Company
Modules:
Introduction, Revenue Model, Building a Revenue Model, Simple Unit Revenue Model, Building a Pro Forma Income Statement, Pro Forma Income Statement, Cash Flow, & Breakeven, Revenue Model & Pro Forma Income Statement Calculator, Different Revenue Model Strategies and Structures
Introduction to Funding Concepts & Sources, Startup Funding: Personal Funds, Friends, & Family, Debt vs. Equity Funding, Equity Funding Stages & Angel Investors, Equity Funding: Venture Capital, Valuation, Cap Table, & Due Diligence, Government Grants & Crowdfunding
Business Plan Purpose & Outline, Business Plan Executive Summary & Company Overview, Product Plan & Market Plan, Financial Plan, Management & Operations Plan, Risk Analysis, Summary & Outlook, Managing, Distributing, & Presenting the Business Plan, Presenting the Business Plan to Investors
Startup Legal Business Structures p1/2, Startup Legal Business Structures p2/2, Legal Issues--Intellectual Property: Patents, Legal Issues: Trade Secrets, Copyrights, & Trademarks, Employee Related Legal Issues, Avoiding Potential Legal Issues
Business Ethics, Breakdowns in Business Ethics, Building a Learning Organization, Learning from Failure, Growth Strategies:  Existing Products & Markets, Company Formation & Legal Considerations, Exit Motivations and Strategies, Closing
Course: Software Security for Web Applications
Modules:
Navigating Codio Assignments, How to Reset an Assignment in Codio, XSS Notes (Optional Download), CSRF Notes (Optional Download), Cookies Notes (Optional Download)
Navigating Codio Assignments, How to Reset an Assignment in Codio, SQL Injection Notes (Optional Download), Data Validation, Updating Libraries, DDos and Rate Limiting
Navigating Codio Assignments, How to Reset an Assignment in Codio, Passwords and Authentication, Oauth 2.0, Differentiating Access
Course: Proyecto de Fundamentos Empresariales de Wharton
Modules:
Bienvenidos al proyecto!, Línea del tiempo del proyecto, Calificaciones y logística, Planillas de proyecto, Empiece aquí
Rotafolio estratégico de marketing, Cómo la centralidad del cliente puede ser redituable, Retención del cliente, Desarrollo del cliente, Marcas y marketing digital, Clientes y tecnología digital, Reputación y resúmenes, Ciclo de vida del producto, Más ejemplos de influencia, Más ejemplos de influencia - parte 2, Estrategia de precios 3- Factores psicológicos, Estrategias de distribución 1- Introducción, Estrategias de distribución 2- diseño de canales, Conflicto horizontal
Introducción – marco de trabajo, Precios, Calidad, Variedad, Respuesta
Cuentas por cobrar (19:50), Estimado de cuentas incobrables (15:31), Ejemplo detallado de cuentas por cobrar (16:35), Inventario (19:59), LIFO vs. FIFO (23:11), Ejemplo detallado de inventario  (11:14), Compañía 3M: Cuentas por cobrar e Inventario (17:50)
Revisión entre Compañeros: Análisis de la Oportunidad para Shazam, Snapdeal, o Tu Propio Proyecto [3 opciones]
Course: Gmail
Modules:
Course introduction, Agenda
Introduction to Gmail, Conversation view, Create and send a message, Activity 1 explained, Email replies, Gmail actions, Message actions
Organize your email, Activity 2 explained, Apply and manage labels
Gmail integration, Create a calendar event from Gmail, Activity 3 explained, Integration with Calendar, Meet and Chat
Protect your Inbox
Contacts, Create a personal group, Activity 4 explained, Import, export and merge contacts
Manage Gmail settings, Activities 5, 6 and 7 explained, Other settings
Become more productive with Gmail, Create a filter, Activity 8 explained, Search Gmail, Activity 9 explained, Other productivity settings
Business challenge overview, Business challenge explained, Wrap up
Course: Introduction to Responsible AI - Italiano
Modules:
Introduzione all'IA responsabile
Course: Customising your models with TensorFlow 2
Modules:
Welcome to Customising your Models with TensorFlow 2, Interview with Laurence Moroney, The Keras functional API, Multiple inputs and outputs, [Coding tutorial] Multiple inputs and outputs, Variables, Tensors, [Coding tutorial] Variables and Tensors, Accessing layer Variables, Accessing layer Tensors, [Coding tutorial] Accessing model layers, Freezing layers, [Coding tutorial] Freezing layers, Wrap up and introduction to the programming assignment
Welcome to week 2 - Data Pipeline, Keras datasets, [Coding tutorial] Keras datasets, Dataset generators, [Coding tutorial] Dataset generators, Keras image data augmentation, [Coding tutorial] Keras image data augmentation, The Dataset class, [Coding tutorial] The Dataset class, Training with Datasets, [Coding tutorial] Training with Datasets, Wrap up and introduction to the programming assignment
Welcome to week 3 - Sequence Modelling, Interview with Doug Kelly, Preprocessing sequence data, [Coding tutorial] The IMDB dataset, [Coding tutorial] Padding and masking sequence data, The Embedding layer, [Coding tutorial] The Embedding layer, [Coding tutorial] The Embedding Projector, Recurrent neural network layers, [Coding tutorial] Recurrent neural network layers, Stacked RNNs and the Bidirectional wrapper, [Coding tutorial] Stacked RNNs and the Bidirectional wrapper, Wrap up and introduction to the programming assignment
Welcome to week 4 - Model subclassing and custom training loops, Model subclassing, [Coding tutorial] Model subclassing, Custom layers, [Coding tutorial] Custom layers, Automatic differentiation, [Coding tutorial] Automatic differentiation, Custom training loops, [Coding tutorial] Custom training loops, tf.function decorator, [Coding tutorial] tf.function decorator, Wrap up and introduction to the programming assignment
Welcome to the Capstone Project, Goodbye video
Course: Create the User Interface with SwiftUI
Modules:
Introduction to Create the User Interface, Mobile interface design, Unique challenges for iOS UI, Setting up the environment, What is SwiftUI ?, Declarative and imperative syntaxes, SwiftUI scenes and views, Observing changes and feedback, Text and TextField, Observing a TextField, Module summary: Getting started with SwiftUI
Frames and layouts, Stacks and views, Creating views using stacks, Controls in SwiftUI, Adding images and system images, Container views, Views within views, Module summary: SwiftUI foundations
Flat and hierarchical navigation, Hierarchical navigation, Tabbed navigation, ScrollView and List, Gestures, Add gestures to a view, Module summary: Advanced SwiftUI
Course recap: Create the User Interface, Exemplar: Little Lemon reservation app, Congratulations, you have completed Create the User Interface
Course: Profundización y actualización en Enfermedad Cardiovascular
Modules:
Presentación del curso, Video promocional, Generalidades de la placa aterosclerótica, el perfecto asesino, Videoconferencia: Fisiopatología de la aterosclerosis, Lipoproteinas, metabolismo de los lípidos y vías de transporte de colesterol, Videoconferencia: Interpretación adecuada del perfil lipídico, Videoconferencia: Estrategias de cálculo del riesgo cardiovascular y metas de tratamiento, Debate sobre riesgo cardiovascular, Videoconferencia: Diabetes y enfermedad cardiovascular
Videoconferencia: Diagnóstico y tratamiento del infarto agudo de miocardio con elevación del ST, ¿Cómo interpretar una curva de troponinas y no fracasar en el intento?, Videoconferencia: Diagnóstico y tratamiento del infarto agudo de miocardio sin elevación del ST
Síndrome coronario crónico, un nombre nuevo para un viejo conocido, Videoconferencia: Manejo farmacológico del Síndrome coronario crónico, Videoconferencia: Enfermedad arterial periférica
¿Por qué debemos aprender de hipertensión arterial?, Videoconferencia: Grupos farmacológicos y decisiones terapéuticas en pacientes con hipertensión arterial, Videoconferencia: Aproximación al paciente con hipertensión arterial secundaria, Diagnóstico del hiperaldosteronismo primario
¿Cómo realizar una evaluación ecográfica de cabecera en pacientes en UCI?, Videoconferencia: Diagnóstico, clasificación y tratamiento de la falla cardiaca aguda, Mecanismos de acción de inotrópicos y vasopresores, Dispositivos de asistencia mecánica y ventricular en choque cardiogénico, Videoconferencia: Diagnóstico, clasificación y tratamiento del choque cardiogénico
Videoconferencia: Tratamiento farmacológico de la falla cardiaca crónica de FEVI reducida, Videoinfografía: Evidencia de medicamentos indicados en el manejo de la falla cardiaca crónica con FEVI reducida, Videoinfografía: Taller de titulación de medicamentos en falla cardiaca con FEVI reducida, Dispositivos implantables en pacientes con falla cardiaca con FEVI reducida, Procedimientos invasivos en pacientes con falla cardiaca con FEVI reducida, Videoconferencia: Tratamiento farmacológico de la falla cardiaca crónica con fracción de eyección (FEVI) preservada y levemente reducida
Videoconferencia: Estrategias de búsqueda activa de FA (EKG, holter EKG, monitor de eventos externo y monitor de eventos implantable), Videotaller: Cardioversión eléctrica y desfibrilación
Videoconferencia: Anticoagulación en pacientes con fibrilación auricular, Fibrilación auricular y enfermedad coronaria, la mejor estrategia antitrombótica, Videoconferencia: Manejo invasivo de fibrilación auricular, Procedimiento de Ablación y cierre percutáneo de auriculilla
Course: Information Technology (IT) Fundamentals for Everyone
Modules:
Course Introduction, Introduction to Computing Fundamentals, Common Computing Devices and Platforms, Identifying Hardware Components and Peripherals, Internal Computer Components, Identifying Ports and Connectors, An Introduction to Operating Systems, Getting Started with Microsoft Windows, Features and Functions of an Operating System, Managing File and Folders, Using Your Windows Lab Workspace
Commercial and Open Source Software, Software Versions, Software Installation Management, Common Web Browsers, Browser Installs and Updates, Interpreted and Compiled Programming Languages, Introduction to Programming Concepts, Branching and Looping Programming Logic, Types of Data, Sources, and Uses, Overview of Data Repositories, Introduction to SQL and Relational Databases, Database Management
Computer Networks: Types and Topologies, Advantages and Disadvantages of Network Types, Networking Hardware Devices, Wired and Wireless Network Connections, (Optional) - Wired and Wireless SOHO Networks, Network Settings in Windows, Types of Local Storage Devices, Types of Hosted Storage and Sharing, Network Storage Types, Troubleshooting Storage Issues
Confidentiality, Integrity, and Availability, Threats and Breaches, Phishing, Social Engineering, and Other Attacks, Password Management Techniques, Security Threats: Access Control, Authorization, and Authentication, Authentication and SSO, Safe Browsing Practices: Application Ecosystem Security, Safe Browsing Practices: Public Browsing Risks, Safe Browsing Practices: Plug-ins, Extensions, and Toolbars, Security Threats: Safe Browsing Techniques, Virtual Private Networks
Definition and Essential Characteristics of Cloud Computing, Key Cloud Service Providers and Their Services, Overview of Cloud Service Models, Overview of Cloud Infrastructure, Virtualization and Virtual Machines Explained, Basics of Storage on Cloud, Hybrid Multi-cloud, Containers, Microservices, Serverless Computing, Cloud Native Applications, DevOps on the Cloud
Introduction to Troubleshooting, Levels of Technical Support, Service-Level Agreements (SLAs), What are Ticketing Systems?, Features and Benefits of Ticketing Systems
Course: First Steps in Making the Business Case for Sustainability
Modules:
Lesson 1 - Welcome to Become a Sustainable Business Change Agent, Lesson 2 - Stories of Change, Lesson 3 - What to look for in a first project, Lesson 4 - Starting as a Change Agent: Jarrett Smith Interview, Lesson 5 - What does a good change proposal look like?
Lesson 1 - Good First Projects: Energy Savings, Lesson 2 - Good first Projects - Behavioral Nudges, Lesson 3 - Good First Projects: Recycling, Lesson 4 - Good first projects: Reporting, Lesson 5 - B-Corps: Goals Besides Profits An Interview with Kara Peck, Jarrett Smith - Starting your change agent career, Graham Russell - Recycling as a first project
Lesson 1 Financial Analysis - Time Value of Money, Lesson 2 - Present Value and Doing an NPV, Lesson 3 Net Present Value Practice Problem, Lesson 4: Computing Return on Investment and Payback
Lesson 1 - Why Become a Sustainable Company? Part 1, Lesson 2 - Why Become a Sustainable Company? Part 2, Lesson 3 - Market Failures Part 1 - Externalities, Lesson 4 - Market Failures Part 2 - Common Access Resources & Information
Sustainability Thinking Intro (Start Here), Lesson 1 - Sustainability Thinking #1: Life Cycle Thinking, Lesson 2 - Sustainability Thinking #2: Circular Thinking, Lesson 3 - Sustainability Thinking #3: Long Term Thinking, Lesson 4 - Sustainability Thinking #4: Resilience, Lesson 5 - Sustainability Thinking #5: Systems Thinking, Sustainability Thinking #6: Context-Based Thinking, Assignment Intro: About the B-Lab Assessment - Oxana Trotsenko
Course: الذكاء الاصطناعي للجميع
Modules:
مقدمة الأسبوع الأول, التعلم الآلي, ما البيانات؟, مصطلح الذكاء الاصطناعي, ما الذي يجعل الشركة قائمة على الذكاء الاصطناعي؟, ما يمكن للتعلُّم الآلي القيام به وما لا يمكنه القيام به, المزيد من الأمثلة حول  ما يمكن للتعلُّم الآلي القيام به وما لا يمكنه القيام به, شرح غير تقني للتعلم العميق (الجزء الأول، اختياري), شرح غير تقني للتعلم العميق (الجزء الثاني، اختياري)
مقدمة الأسبوع الثاني, سير عمل أحد مشاريع التعلم الآلي, سير عمل أحد مشاريع علم البيانات, تتطلب كل المهام الوظيفية معرفة كيفية استخدام البيانات, كيفية اختيار مشروع الذكاء الاصطناعي (الجزء الأول), كيفية اختيار مشروع الذكاء الاصطناعي (الجزء الثاني), العمل مع فريق الذكاء الاصطناعي, الأدوات التقنية لفرق الذكاء الاصطناعي (اختياري)
مقدمة الأسبوع الثالث, دراسة حالة: أجهزة التحدث الذكية, دراسة حالة: سيارة ذاتية القيادة, أمثلة على أدوار فريق الذكاء الاصطناعي, خطة التحول لاستخدام الذكاء الاصطناعي (الجزء الأول), خطة التحول لاستخدام الذكاء الاصطناعي (الجزء الثاني), أوجه قصور الذكاء الاصطناعي التي يجب تجنبها, اتخاذ الخطوة الأولى في مجال الذكاء الاصطناعي, استطلاع رأي حول أهم مجالات تطبيق الذكاء الاصطناعي (اختياري), استطلاع رأي حول أهم تقنيات الذكاء الاصطناعي (اختياري)
مقدمة الأسبوع الرابع, رؤية واقعية حول الذكاء الاصطناعي, التمييز / التحيز, الهجمات العدائية على الذكاء الاصطناعي, الاستخدامات السلبية للذكاء الاصطناعي, الذكاء الاصطناعي والاقتصادات النامية, الذكاء الاصطناعي والوظائف, الختام
Course: Cryptographic Hash and Integrity Protection
Modules:
Instructor Introduction, Module Objectives, Hash Function, Insecure Hash Function, Cryptographic Hash Function Requirements: One-Way and Collision Properties, Cryptographic Hash Function Security, Cryptographic Hash Function Structure
Module Objectives, Hash Chain, S/Key: One-Time Password, Hash Tree (Merkle Tree), Cryptocurrency and Bitcoin
Module Objectives, Message Authentication Approaches and Using Symmetric Encryption for Message Authentication, Message Authentication Code (MAC), Brute-Force Attack on MAC, MAC Requirements, Digital Authentication Algorithm (DAA), Cipher-Based MAC (CMAC)
Module Objectives, Alice Uses Her Private Key, Digital Signature Properties Beyond Message Authentication, Digital Signature Requirements, Digital Signature Constrcution
Course: Generative AI: Introduction and Applications
Modules:
Course Introduction, Why Learn Generative AI with IBM, Generative AI Fundamentals Specialization Introduction, Introduction to Generative AI, Capabilities of Generative AI
Applications of Generative AI, Tools for Text Generation, Tools for Image Generation, Tools for Audio and Video Generation, Tools for Code Generation
Congratulations and Next Steps, Thanks from the Course Team
Course: Introduction and Programming with IoT Boards
Modules:
Week 1_1, Week 1_2
Week 2_1, Week 2_2
Week 3_1, Week 3_2, Week 3_3, Week 3_4, Week 3_5, Week 3_6
Week 4_1, Week 4_2, Week 4_3, Week 4_4, Week 4-5
Week 5_1, Week 5_2, Week 5_3, Week 5_4
Course: Cybersecurity and Mobility
Modules:
Welcome Video, Next Steps – How to Successfully Complete This Course, SAP's Chris and Mandy on Corporate Mobility Trends
What is BYOD?, Mobility and Cloud Computing, Mobility and Globalization, Mobility and the Modern Workforce, Mobility and the Internet of Things, SAP's Chris and Mandy on BYOD and Policy Management
Importance of Cybersecurity, SAP's Chris and Mandy on Mobility, Cybersecurity, and IoT, The Mobility Threat Ecosystem
The Gartner Hype Cycle, SAP's Chris and Mandy on the Future of Mobility and Cybersecurity, The Future of Cybersecurity, The Future of Mobility, Video Conclusion