dipopotamus/custom_instruct_coursera_course_module_list huggingface dataset:
Course: Engineering Genetic Circuits: Modeling and Analysis
Modules:
Chemical Reaction Models, Laws of Thermodynamics, Law of Mass Action, Genetic Circuit Models, System Biology Markup Language, Overview, Project Management, Creating a Model, Species, Promoters, Compartments, Modules, Events, Event Examples, Unit Definitions, Model Editor, Constraints, Parameters, and Variables, Reactions, SBML Mathmatical Formulas, iBioSim Functions, Rules, Constraints, Model Editor Preferences
Overview, Classic Chemical Kinetic Model, ODE Model Example, Differential Equation Simulation, Euler's Method, Runge-Kutta Method, Adaptive Stepsize Control, Qualitative ODE Analysis, Saddle-Node Example, Transcritical Bifurcation Example, Pitchfork Bifurcation Example, Two-Dimentional ODE Model, Spatial Methods
Introduction, Stochastic Chemical Kinetic Model, Biomolecular Reaction Channel, Monomolecular Reactions, Trimolecular Reactions, Jump Markov Processes, Introduction, Derivation of Gillespie's Stochastic Simulation Algorithm, Implementation of Gillespie's SSA, Gillespie's SSA Examples, Gillespie's First Reaction Method, Gibson/Bruck's Improvements, Composition and Rejection, Tau Leaping, Explicit Tau-Leaping Simulation Algorithm, The Chemical Langevin Equation, The Reaction Rate Equation, Stochastic Petri Nets, Phage Lambda Model, Spatial Gillespie
Population-Based Models, The Hierarchical Stochastic Simulation Algorithm, Hierarchical Simulation Example, Runtime Comparison between hSSA and SSA, Array Package for Tracking Cellular Populations, Population of Repressilator Circuits Using Arrays, Population of Genetic Toggle Circuits Using Arrays, Motivation and Background, Important Sampling, Underlying Mathematics of the wSSA, The weighted stochastic simulation algorithm, Introduction and Motivation, Incremental Stochastic Simulation Algorithm, Marginal Probability Density Evolution, Mean Path, Median Path, Adaptive Time Step, Multiple Paths
Introduction, Crosstalk, Signal Mismatch, Roadblocking, Genetic Context Effects, Automation and Computer Aided Design, Library Creation, Existing Technology Mapping, Overview of Cello, Genetic Gate Assignment, Impact of Gate Isolation and Gate and Gate Library, Cello Circuit Examples, Analysis of Circuit Failures, Overview of iBioSim's Technology Mapping, DAG Representation, Partitioning and Decomposition, Matching and Covering, Technology Mapping's Cost, Model Generation, Rule 30 Example, Sequential Genetic Circuits
Course: AWS: Data Analytics
Modules:
AWS Glue, AWS Glue Catalog, AWS Glue Crawlers and Classifiers, AWS Glue Jobs, AWS Glue Databases and AWS Glue Tables, AWS Glue Data Quality, AWS Glue API - Sensitive Data, AWS Glue Workflow, AWS Glue DataBrew
Amazon Athena, Amazon Athena with Glue, Amazon Athena with Hive Metastore, Amazon Redshift Spectrum with Glue Data Catalog, Athena CTAS, SQL with Athena, AWS Lake Formation, Amazon EMR, Amazon EMR with Glue Data Catalog
Amazon Kinesis, Amazon Managed Service for Apache Flink, Amazon Managed Streaming for Apache Kafka, Amazon Sagemaker, Amazon QuickSight
Course: Cloud Computing Applications, Part 1: Cloud Systems and Infrastructure
Modules:
Welcome to Cloud Computing Applications Part 1
Module 1 Introduction, 1.1.1 Cloud Computing Introduction, 1.1.2 Motivation Interview, 1.1.3 Cloudonomics: Part 1, 1.1.4 Cloudonomics: Part 2, 1.1.5 Big Data, 1.1.6 Summary to Cloud Introduction, 1.2.1 Software Defined Architecture, 1.2.2 Cloud Services, 1.2.3 Infrastructure as a Service
Module 2 Introduction, 2.1.1 Virtualization, 2.1.2 Virtualizing the Network and Storage, 2.2.1 OS Based Virtualization, 2.2.2 Xen, 2.2.3 VServer 2.0, 2.2.4 Solaris Zones, 2.2.5 OpenVZ, 2.2.6 LXC Linux Containers, 2.3.1 Docker, 2.3.2 Kubernates, 2.3.3 JVM, 2.4.1 IaaS: OpenStack, 2.4.2 IaaS Providers: Amazon, 2.4.3 IaaS Providers: Microsoft, 2.4.4 IaaS Providers: Google, 2.4.5 Serverless Architecture
Module 3 Introduction, 3.1.1 MAAS Part 1, 3.1.2 MAAS Part 2, 3.1.3 Juju, 3.2.1 PaaS Providers: Google App Engine, 3.2.2 PaaS Providers: Salesforce, 3.3.1 Web Services, 3.3.2 RPC Semantics, 3.3.3 RPC Implementation, 3.3.4 HTTP SOAP REST, 3.3.5 JSON, 3.3.6 Load Balancer Introduction, 3.3.7 Load Balancer Schemes, 3.3.8 Protocol Buffers and Thrift, 3.3.9 MBAAS
Module 4 Introduction, 4.1.1 Ceph, 4.1.2 HIVE, 4.1.3 TEZ, 4.2.1 SWIFT, 4.2.2 Amazon S3 BLOB Storage, 4.3.1 Amazon AWS EBS Storage, 4.3.2 AWS Glacier, 4.3.3 Amazon AWS Elastic File System, Dropbox API
Final Reflections
Course: Privacy & Standardisation Capstone
Modules:
Welcome to the privacy capstone
How to read legal documents
Declaration of Human Rights
Being careful with your health (data)
Got your number
The terms of cookies, Your data?
Course: Essential Cloud Infrastructure: Core Services dalam bahasa Indonesia
Modules:
Pengantar Kursus
Ringkasan Modul, Identity and Access Management, Organisasi, Peran, Demo: Peran khusus, Anggota, Akun Layanan, Pembatasan Organisasi, Praktik terbaik IAM, Pengantar Lab: Mempelajari IAM, Coursera: Memulai dengan Google Cloud dan Qwiklabs, Evaluasi Lab: Mempelajari IAM, Evaluasi Modul
Ringkasan Modul, Cloud Storage, Fitur Cloud Storage, Memilih kelas penyimpanan, Filestore, Pengantar Lab: Cloud Storage, Evaluasi Lab: Cloud Storage, Cloud SQL, Pengantar Lab: Cloud SQL, Evaluasi Lab: Cloud SQL, Cloud Spanner, AlloyDB, Firestore, Cloud Bigtable, Memorystore, Evaluasi Modul
Ringkasan Modul, Resource Manager, Kuota, Label, Penagihan, Demo: Administrasi Penagihan, Pengantar Lab: Memeriksa Data Penagihan dengan BigQuery, Evaluasi Lab: Memeriksa Data Penagihan dengan BigQuery, Evaluasi Modul
Ringkasan Modul, Ringkasan Stackdriver, Monitoring, Pengantar Lab: Pemantauan Resource, Evaluasi Lab: Pemantauan Resource, Logging, Error Reporting, Tracing, Pembuatan profil, Evaluasi Modul, Evaluasi Kursus
Course: Make Apps with ChatGPT and Generative AI
Modules:
App Development Introduction, Roadmap: Building ChatGPT Apps, Examples: ChatGPT Solutions, Tech Stack: ChatGPT Apps, Instructor Overview, Keys to Success: ChatGPT App Development
ChatGPT for Problem Solving, OpenAI, GPT3 Models: Pros and Cons, GPT3 Davinci: Capabilities, Optimizing Prompts, Tokenization, Temperature Control
OpenAI API Account Sign-Up, Azure Account Creation, Azure Function Resource Creation, Python Installation, Visual Studio Code Installation, Visual Studio Code Configuration, Terminal Use: Running Python and Pip, Microsoft 365 E5 Account Creation
Python Access to OpenAI API, ChatGPT Response Management, Basic Azure Function Creation, Azure Function Testing and Deployment, Postman for Serverless Function Testing, OpenAI ChatGPT and Azure Functions Integration, Local OpenAI ChatGPT Testing, Deploying OpenAI ChatGPT to Azure Functions
Power Automate Flow Creation, HTTP Request: OpenAI ChatGPT Integration, Creating Teams Chatbot with OpenAI ChatGPT, Testing and Publishing Teams ChatGPT Chatbot
Basic Power Apps Creation, OpenAI ChatGPT Integration in Power Apps, Power Apps Q&A Bot Implementation
Office Add-In Environment Setup, Office Outlook Project Creation, Outlook Add-In Launch, Running ChatGPT API from Outlook, Resolving CORS and Security Errors, Email Body Transfer to ChatGPT, Pasting Response in Outlook Add-In
Bubble Application Creation, Bubble-ChatGPT API Connection, Dynamic Prompt Modification
Airtable Context Setup, Script for ChatGPT API Calling, Variable-Based ChatGPT Prompt Modification, ChatGPT Marketing Email Generator Testing
Front-End Setup, Second Page Creation, ChatGPT Workflow Creation, Linking Pages and Testing, ImageAI and OpenAI Photo Integration, Text and Photo Testing for ChatGPT App
Outlook Environment Setup, Front-End Changes, ChatGPT Back-End Function Creation, Body Modification for ChatGPT Backend, Adding Reply Box, Expanding Application with ChatGPT Mood Options
Cover Letter Screen Creation, ChatGPT API Linking and Workflow Creation, ChatGPT Testing with Different Descriptions
Image API DALLE Use, Front-End Creation, ChatGPT API and Power Automate Integration, Stock Photo Generator Testing
Congratulations
Course: Interviewing Methods
Modules:
Get Started With PsycLearn Essentials!, Metacognitive Checkpoints: Pause and Reflect on Your Learning
Course Overview
Introducing Phenomenological Research Practices
Unveiling Story, Narrative Inquiry Questions, Narrative Inquiry Practices and Psychological Scenarios, Narrative Inquiry Revisited
Grounded Theory, Grounded Theory Questions, The Roots of Grounded Theory, Theoretical Sampling and Saturation, Summary of Constructivist Grounded Theory
Three Types of Interviews, Interview Location, To Do and Not to Do: Focus Group Interview
References
Introduction to APA Resources, Student Resources, APA Style®, Research, and Writing, Students from Diverse Ethnic, Cultural, and Economic Backgrounds, Psychology Help Center, Psychology Careers, Careers and Internships at APA, Other APA Resources
Course: AI Workflow: AI in Production
Modules:
Feedback Loops and Unit Testing, Feedback Loops and Unit Tests, Performance Monitoring and Business Metrics, Performance Drift, Performance Monitoring Case Study
Operationalize Trusted AI with IBM Watson OpenScale, Kubernetes Explained, Kubernetes vs. Docker: It's Not an Either/Or Question
Capstone: Through the Eyes of Our Working Example, What is in the Capstone and Associated Review?, Review of Course 1: Business Priorities and Data Ingestion, Review of Course 2: Data Analysis and Hypothesis Testing, Review of Course 3: Feature Engineering and Bias Detection, Review of Course 4: Machine Learning, Visual Recognition, and NLP, Review of Course 5: Enterprise Model Deployment, About the Data, Capstone Assignment 1: Through the Eyes of Our Working Example, Capstone Part 1: Getting Started (Hands-On)
Capstone Assignment 2: Through the Eyes of Our Working Example, Capstone Part 2: Getting Started (Hands-On), Capstone Part 3: Getting Started (Hands-On), Solution Files
Course: Advanced IoT Systems Integration and Industrial Applications
Modules:
Welcome Video, Introduction to Edge Computing, Edge Devices and Gateway in IoT, Benefits and Challenges of Edge Computing, IoT Data Processing and Storage, Techniques for Analyzing IoT Data, Data-Driven Decision-Making in Industrial Applications, Tools and Platforms for IoT Data Analytics, Overview of Cloud Service Models, Cloud Service Providers Evaluation Toolkit, Scalability and Resource Management in Cloud-Based IoT, Cloud-Based Data Integration
Security Risks in IoT Systems, Privacy Concerns in IoT Applications, Security Measures for IoT Devices and Networks, Overview of IoT Regulations and Standards, Role of Compliance in IoT Security and Privacy, Developing an IoT Security and Compliance Plan
Integration of IoT with Robotics and Automation Technologies, IoT-Enabled Robots and Cobots, Benefits and Challenges of IoT-Driven Automation, Strategies for IoT and Robotics Integration, Assessing the Impact of IoT-Driven Automation, Designing a Comprehensive IoT Solution with Robotics and Automation Technologies, Course Completion Video
Course: Sequences, Time Series and Prediction
Modules:
Introduction: A conversation with Andrew Ng, Time series examples, Machine learning applied to time series, Common patterns in time series, Introduction to time series, Train, validation and test sets, Metrics for evaluating performance, Moving average and differencing, Trailing versus centered windows, Forecasting
A conversation with Andrew Ng, Preparing features and labels, Preparing features and labels (screencast), Feeding windowed dataset into neural network, Single layer neural network, Machine learning on time windows, Prediction, More on single layer neural network, Deep neural network training, tuning and prediction, Deep neural network
Week 3 - A conversation with Andrew Ng, Conceptual overview, Shape of the inputs to the RNN, Outputting a sequence, Lambda layers, Adjusting the learning rate dynamically, LSTM, Coding LSTMs
Week 4 - A conversation with Andrew Ng, Convolutions, Bi-directional LSTMs, Convolutions with LSTM, Real data - sunspots, Train and tune the model, Prediction, Sunspots, Combining our tools for analysis, Congratulations!, Specialization wrap up - A conversation with Andrew Ng
Course: Copyright for Educators & Librarians
Modules:
About The Course
What is Copyright, The Roots of Anglo-American Copyright, Copyright Moves Across the Pond, Ways the Monopoly is Limited, How Copyright Happens, Framework for Analysis, Authorship, Part 1, Authorship, Part 2, Authorship, Part 3
You Own Copyright, Students Own Copyright Too, Work Made for Hire and Teachers, First Sale, Part 1, First Sale, Part 2, First Sale, Part 3, Public Domain, Idea/Expression Dichotomy
In Class Performances, The TEACH Act - Online Performances, A Library Exception, Part 1, A Library Exception, Part 2, A Library Exception, Part 3, Framework Review, Licenses and the Creative Commons, Asking for Permission
Place of Fair Use, Part 1, Place of Fair Use, Part 2, Using Fair Use - The Four Factors, Transformative Fair Use, Part 1, Transformative Fair Use, Part 2, Transformative Fair Use, Part 3, Applying Fair Use, Part 1, Applying Fair Use, Part 2, Applying Fair Use, Part 3, The International Implications, Part 1, The International Implications, Part 2, The International Implications, Part 3
Course: ChatGPT for Project Management: Insight, Planning, & Success
Modules:
Welcome to Mastering ChatGPT for Project Management, ChatGPT's Fundamental Capabilities for Enhancing Project Management, Decomposing Projects into Tasks, Phases, and Other Parts with ChatGPT, Getting More Detail into Tasks, Phases, and Parts with ChatGPT, Using ChatGPT to Tap Into Subject Matter Expertise with the Persona Pattern, The Persona Pattern, Persona Pattern in Action for Project Management & Task Breakdown
Prompt Inputs & Context for Project Management, Extracting Maximum Value from Every Meeting, Document, Report, and Email, Using ChatGPT to Organize Plans, Tasks, Schedules, and Other Project Items, Intro to the Template Pattern, Template Pattern, What is Markdown, Template Pattern, Self-consistency, Fact Checking, & Referencing Footnotes, Escape Valves in Prompts, More Advanced Markdown Templates
Using ChatGPT to Analyze Project Management Plans, Tasks, Artifacts, etc., Exploiting Generation, Five Ways to Solve the Problem, Generation Approaches, Generating Assessment Metrics, Putting it All Together
Course: Financiamiento en proyectos de infraestructura sostenible
Modules:
1.2.1 Oportunidades y retos de la financiación para proyectos de infraestructura sostenible, 1.2.2 Fondos de preparación de proyectos, 1.2.3  Instrumentos financieros para proyectos de infraestructura sostenible, 1.2.5 Principios de financiamiento concesional, 1.2.6 Financiamiento para atender los retos que trae el cambio climático al desarrollo sostenible, 1.2.8 Bonos temáticos (bonos verdes, sociales, azules), 1.2.9 Ejemplos de mecanismos para direccionar financiamiento sostenible
2.1.3 ¡Solicita tu insignia digital!, 2.2.1 Principales lecciones del curso, 2.2.2 Lecturas y otros recursos opcionales, 2.2.4 Sigue aprendiendo
Course: Math for MBA and GMAT Prep
Modules:
Meet the Instructor
Descriptive Statistics, Median and Mode, Median and Mode Part 2, Standard Deviation, Standard Deviation Part 2, Standard Deviation Examples
Data Visualization - Video 1, Data Visualization Video 2, Data Visualization - Video 3
Linear Equations Part 1, Linear Equations Part 2, Linear Equations Part 3, Linear Equations Part 4, Linear Equations Part 5
Common Business Concepts Part 1, Common Business Concepts Part 2, Common Business Concepts Part 3
Calculus video 1, Calculus video 2, Calculus video 3, Calculus video 4, Calculus video 5, Calculus video 6
Regression Analysis video 1, Regression Analysis video 2, Regression Analysis video 3, Regression Analysis video 4, Regression Analysis video 5, Regression Analysis video 6, Regression Analysis video 7, Regression Analysis video 8, Regression Analysis video 9, Regression Analysis video 10, Regression Analysis video 11
Course: Wearable Technologies and Sports Analytics
Modules:
Welcome to the Course!, Introduction to Wearable Technology, Wearable Technology Sensors, The Wearables of Athletics
External Loads of Wearable Technology, Training and Performance Measures, Predicting and Preventing Injury
Internal Measures of Wearable Technology, Is HR a Passé Measure of Stress? What Can Other Measures Add?, What Is So Magical About Heart Rate Variability?, Evaluating Multiple Internal Measures -- Which Is Best?, Difference Between Chest-Strap and Wrist-Strap HR Data
Benefits of Combining Internal and External Meaures, Evaluating External Load Relative to the Internal Load, Evaluating Internal and External Measures Together to Determine Metrics
Introduction to the Attraction and Dangers of “Global Metrics”, Which Wearable Metrics Do We Not Have a Gold Standard to Compare Against?, Which Wearable Metrics Can We Actually Validate?, Global Metrics Example: Sleep Score, Testing the Validity of the REM Sleep Measure via Direct Measure With Sleep Study
Course: Introducción a R
Modules:
Bienvenida al curso, Políticas y lineamientos de calificación, Políticas de Coursera
Bienvenida, Breve descripción de R, Descarga e instalación de R, Descarga e instalación de R Studio, Introducción a RStudio y RStudio Cloud 1, Introducción a RStudio y RStudio Cloud 2, Introducción a RStudio y RStudio Cloud 3
Datos numéricos y caracteres, Función c(), Indexación de vectores, Funciones cbind() y rbind(), Indexación de matrices, Funciones data.frame() y write.csv(), Cómo acceder a un subespacio de los datos, Funciones load() y read.csv()
Instalación y carga ggplot2, Gramática de gráficos, Geometría, Estética, Gráficos de barras, Gráficos de pastel, Histogramas de frecuencia
Comandos if y else, Comandos for y while, Comandos next y break, Desarrollo y aplicación de funciones
Instrucciones Encuesta, Felicidades
Course: Banking and Financial Institutions
Modules:
Learn About the Course and Your Instructor, Learn on Your Terms
Module 1 Overview, Money and Its Functions, The Payments System, Money and Inflation, What Does the Financial System Do?, Financial Markets Versus Financial Institutions, Banks Versus Non-Banks, Overview of Non-Banks, Financial Development and Economic Activity
Module 2 Overview, Early Banking in the United States, Bank Holding Companies, Deregulation and Modern Banking, Bank Types and Borrowing, Bank Lending, Changes in the Lending Process, How Are Investment Banks Organized?, Investment Banking Activities, Balance Sheet, Off Balance Sheet, Income Statement
Module 3 Overview, Bank Equity Capital, Measuring Bank Performance, Overview of Risk, Credit Risk, Interest Rate Risk, Liquidity Risk, Market Risk, Operational Risks
Module 4 Overview, Goals of Financial Regulation, The Government Safety Net, Case Study: Interventions in 2007-2009, Bank Regulation, The Supervisory Process, Stress Testing, Too Big to Fail, Defining Shadow Banking, Case Study: Money Market Mutual Funds
Course: Journalism, the future, and you!
Modules:
This is the world of journalism, The Michigan State School of Journalism, Meet your School of Journalism faculty, #SpartansWill
Journalists and ethics, Undercover reporting and deception, Fairness and balance, Plagiarism & fabrication
Conflict of interest tension, Disaster situations, Tensions between journalists and news sources, Journalists and privacy rights
Intro to International Journalism, Journalist safety & press rights defenders, The life of international correspondents, Covering world news from home
Our changing journalism world, Publishing...on your terms, Freelancing in journalism, Journalism, the future and you
Course: مقدمة عن المشتقات وإدارة المخاطر
Modules:
مفهوم الأسواق المالية, أنواع الأسواق المالية, مفهوم المشتقات, أنواع المستثمرين في سوق المشتقات, مفهوم عقود الخيارات, مسائل توضيحية, العقود الآجلة (Forward Contracts), العقود المستقبلية (Future Contracts) وعقود المبادلات (Swaps), مميزات ومشكلات عقود المشتقات (Derivatives), الملخص
Course: AI Essentials
Modules:
What is AI?, Why AI Now?, Can You Walk Me Through a Typical AI Journey?, Where Do I Start With My Customer?, How do I tailor the conversation to different AI personas?
Course: Comunicación efectiva para el líder actual
Modules:
¿Qué es la comunicación?, Habilidades de comunicación interpersonal
¿Qué es la asertividad?, Planeando la comunicación
Niveles de la escucha: oír, escuchar y empatizar, Pasos para escuchar con efectividad
Uso y beneficios de la retroalimentación, Modelo GROW: pasos para llevar una sesión de retroalimentación, Cierre
Course: Effective Communication for Today’s Leader
Modules:
What is communication?, Interpersonal communication skills
What is assertiveness?, Planning communication
Levels of listening: hearing, listening, and empathizing, Steps for effective listening
Use and benefits of feedback, The GROW Model: steps for conducting a feedback session
Course: Commodity and Currency Hedging
Modules:
New Video
What is Hedging
Commodity Hedging
Currency Risk Management and Currency Hedging
,pdf file for the Student for Course 5 Lectures
Quiz for Course 5 Commodity and Currency Hedging True/False
Course: U101: Understanding College and College Life
Modules:
Welcome, Course Design
What's college life like?, What do faculty do?, How do colleges work?
Studying in college, Faculty expectations, Using the libraries, Finding additional resources
Learning in college, Choosing a major, Applying to a major, Working with faculty members
Budgeting in college, Finding grants and financial aid
Transitioning to a new living environment, Living on campus, Living off campus
Finding your place, Understanding fraternities and sororities
Review and Thank You
Course: Check Point Jump Start: CloudGuard Posture Management
Modules:
Lesson 1 - What is Posture Management?
Lesson 2 – What are the Cloud Security Challenges?
Lesson 3 - What is Check Point CloudGuard Posture Management?
Lesson 4 - How does CloudGuard Posture Management Work?
Lesson 5 – CloudGuard Posture Management Course Summary
Lesson 6 – Posture Management Demo Lab
Course: Study Designs in Epidemiology
Modules:
Introduction to Epidemiological Study Designs, Epidemiological Studies, Ecological Studies, Cross-sectional Studies
Case-control Studies: An Overview, Measures of Association in Case-control Studies, Calculating Odds Ratios
Cohort Studies: An Overview, Measures of Association in Cohort Studies, Calculating Relative Risks, Nested Case-control Study, Case-cohort Study Design
Randomised Controlled Trials: An Overview, The Randomisation Process, Blinding in Randomised Controlled Trials, Course Summary
Course: Create Image Captioning Models - Português Brasileiro
Modules:
Criar modelos de legenda para imagens: Informações gerais, Criar modelos de legenda para imagens: Tutorial do laboratório
Course: Check Point Jump Start: Maestro Hyperscale Network Security
Modules:
Introduction, Demonstration of the Physical Setup and Cabling of the Orchestrator and Security Gateway Appliances, Demonstration of Web User Interfaces and SmartConsole, Additional Features and of Limitations of the Maestro Hyperscale Network Security Solution
Tour of the Command Line, CLI Demonstration on the Maestro Hyperscale Orchestrator and in a Single Management Object, Using the Maestro Hyperscale Orchestrator CLI to Create and Configure a Security Group
Demonstration of Security Groups with High Availability, Creation and Use of a VSX Security Group
Review Questions and Answers
Course: Transformação digital
Modules:
Introdução ao curso, Introdução da semana 1, Evolução exponencial da tecnologia, Desconstrução da cadeia de valor, Entrevista com Philip Evans sobre desconstrução, A tecnologia faz a diferença, Transformação digital na Pitney Bowes, Entrevista com o diretor executivo da Pitney Bowes, Marc Lautenbach, Entrevista com a vice-presidente executiva e presidente de serviços de comércio da Pitney Bowes, Lila Snyder, Conclusão da semana 1
Introdução da semana 2, Uma perspectiva histórica, A disrupção não é nova - Parte I, A disrupção não é nova - Parte II, Análise ambiental e o ciclo de vida competitivo, O ciclo de vida competitivo em detalhe, A responsabilidade da incumbência, A economia da inovação, Uma visão do portfólio, Conclusão da semana 2
Introdução da semana 3, Big Data - Parte I, Big Data - Parte II, Entrevista com John Rose sobre confiança, A mudança para a nuvem - Parte I, A mudança para a nuvem - Parte II, Internet das coisas, Impressão 3D - Parte I, Impressão 3D - Parte II, Segurança cibernética - Parte I, Segurança cibernética - Parte II, Inteligência artificial - Parte I, Inteligência artificial - Parte II, Blockchain - Parte I, Blockchain - Parte II, Entrevista com Nicolas Harlé sobre blockchain, Combinação de tendências, Tour pelo Centro de Inovação para Operações do BCG, Entrevista com Moundir Rachidi sobre a Indústria 4.0, Conclusão da semana 3
Introdução da semana 4, Entrevista com Tom Reichert sobre a estrutura, Estratégia orientada pelo digital, Digitalizar o núcleo - Parte I, Digitalizar o núcleo - Parte II, Entrevista com Antoine Gourévitch sobre digitalização, Novo crescimento digital - Parte I, Novo crescimento digital - Parte II, Inovação e i.Lab da Universidade da Virgínia, Pessoas e organização, Entrevista com Martin Danoesastro sobre ágil em escala, Dados e análises - Parte I, Dados e análises - Parte II, Dados e análise no Aeroporto de Heathrow em Londres, Tecnologia, Entrevista com Stefan Mohr sobre tecnologia, Ecossistemas, Entrevista com Ralf Dreischmeier sobre fatores de sucesso da transformação digital, Conclusão da semana 4, Conclusão do curso
Course: MOOC X MOOC
Modules:
Bienvenida al curso, Diferencias entre exp de aprendizaje y curso, El diseño invertido y la coherencia curricular, Modelo ABC, Documento fundamental
Diseño de objetivos de aprendizaje, Definición de indicadores de aprendizaje, Un buen indicador de desempeño, Identificación de indicadores, Ejemplos de indicadores, Experiencia de usuario, Experiencia de usuario. Parte 2
De indicadores a actividades, El reto de poblaciones heterogéneas, Organización de la experiencia, Redacción de instrucciones, Importancia de recursos abiertos
Criterios de calidad, Relación con el área de producción, Lista de verificación y adecuaciones, Plan de mejora, Adecuaciones y plan de atención
Course: FinTech Law and Policy
Modules:
Introduction to the Course, What is FinTech?
Explaining What Can Go Wrong When FinTechs Don't Understand Regulation, Regulatory Challenges Facing U.S. FinTech Firms, FinTech Evolution and Investment Trends, How FinTech is Challenging Regulators, Regulatory Sandboxes
Explaining Cryptocurrency, Regulating Cryptocurrency as Money, Regulating Cryptocurrency as a Commodity, Regulating Cryptocurrency as Property, Explaining Initial Coin Offerings, Regulating Initial Coin Offerings
Explaining FinTech Credit, U.S. and Global Landscape, Regulatory and Legal Considerations, Common Lending Models, Vulnerabilities of FinTech Credit, Additional Legal Considerations
Creating and Regulating a Bank, Special Purpose FinTech Charter, Industrial Loan Company
Introduction to Traditional Payment Systems, Card Based Payments and Interbank Transfers, Mobile Payment Developments, Decentralized Payments, A Push for Faster Payments in the U.S., FinTech Wealth Management, Financial Account Aggregators
Course: التركيز على العملاء وأثر ذلك على الربحية
Modules:
مفهوم التركيز على العميل (Customer Focus), بناء استراتيجية تسويقية من أجل التركيز على العميل  (Customer Focus), المقاييس الرئيسية لفهم صوت العملاء, مستوى رضى العملاء (CSI Customer Satisfaction Index), الحفاظ على العملاء (Customer Retention), كيفية الحفاظ على العملاء, ولاء العملاء (customer loyalty), مؤشر ولاء العملاء (Customer Loyalty Index), أنواع العملاء
Course: Introduction to Database Migration
Modules:
Introduction to Database Migration
Course: تصميم نظام تكنولوجيا المعلومات على Azure:إنشاء بنية تحتية
Modules:
Task 1, Task 2, Task 3, Task 4, Task 5, Task 6, Task 7
Course: Emotional Intelligence
Modules:
Welcome to Emotional Intelligence!
Downloadable: Core Emotions Infographic, Key takeaways: Begin with the basics
Downloadable: Emotional Reasoning Guide, Key takeaways: Reasoning requires balance and patience
Downloadable: Understanding emotions step-by-step, Key takeaways: Aim for objectivity
Downloadable: Managing emotions in the workplace, Key takeaways: Embrace the power of preparation
Course: Monitoring and Backup in Azure
Modules:
Welcome to Monitoring and Backup in Azure Course, Azure Monitor - Demo, Azure Monitor Workbook Visualizations - Demo, Application Insights - Demo, Azure Log Analytics - Demo, Working with Queries - Demo, Working with Alerts - Demo
Azure Backup Service - Lab, Restore Azure Virtual Machines - Demo, Azure Site Recovery - Azure Virtual Machines Demo, Course Conclusion
Course: Securing and Integrating Components of your Application 日本語版
Modules:
コースの概要, IAM のコンセプト, IAM のベスト プラクティス, OAuth2.0、IAP、Firebase Authentication, ラボ:  アプリケーションにユーザー認証を追加する, Coursera:  Google Cloud Platform と Qwiklabs を使用する, 概要
Pub/Sub を使う理由, Pub/Sub の概念, Pub/Sub のユースケース, ラボ: バックエンド サービスを開発する, 概要
インテリジェンスの追加, 概要
Cloud Functions のコンセプト, Cloud Functions の関数の記述、デプロイ、モニタリング, デモ:  直接リクエスト / レスポンスでの Cloud Functions の関数の呼び出し, ラボ:  Cloud Functions の関数を使用して Pub/Sub データを処理する, 概要
Cloud Endpoints のコンセプト, Cloud Endpoints for REST API, ラボの概要, 概要, コースのまとめ
Course: Digital Transformation with Google Cloud - 日本語版
Modules:
エグゼクティブ概要, コースの概要
はじめに, イノベーション、パラダイム シフト、デジタル トランスフォーメーション, クラウドとは, クラウド コンピューティングのメリット, 実際の例: 変革して新しいテクノロジーを受け入れることが重要な理由, クラウドの時代, デジタル トランスフォーメーションへとつながる課題, Google のトランスフォーメーション クラウド, Google Cloud 導入フレームワーク, まとめ
はじめに, 総所有コスト（TCO）, 資本支出（CapEx）と運用支出（OpEx）, プライベート クラウド、ハイブリッド クラウド、マルチクラウドの戦略, ネットワークによるデジタル トランスフォーメーションのサポート, ネットワーク パフォーマンス: 帯域幅とレイテンシ, Google Cloud のリージョンとゾーン, Google のエッジ ネットワーク, まとめ
クラウド コンピューティング モデルと責任共有の概要, クラウド コンピューティングのサービスモデル, IaaS（Infrastructure as a Service）, PaaS（Platform as a Service）, SaaS（Software as a Service）, クラウド コンピューティング モデルの選択, 責任共有モデル, 責任共有モデルの仕組み, まとめ
コースのまとめ
Course: Production Machine Learning Systems - Français
Modules:
Machine learning avancé sur Google Cloud, Bienvenue
Concevoir l'architecture des systèmes de ML, Extraction, analyse et préparation des données, Entraînement, évaluation et validation du modèle, Modèle entraîné, service de prédiction et surveillance des performances, Décisions de conception pour l'entraînement, Décisions de conception pour l'inférence, Concevoir à partir de zéro, Utilisation de Vertex AI, Présentation de l'atelier : Prédictions avec des données structurées, Coursera : Premiers pas avec Google Cloud Platform et Qwiklabs
Introduction, S'adapter aux données, Changer de distribution, Atelier : S'adapter aux données, Bonnes et mauvaises décisions, Défaillance système, Dérive conceptuelle, Actions d'atténuation de la dérive conceptuelle, Validation des données TensorFlow, Composants de TensorFlow Data Validation, Présentation de l'atelier : Introduction à TensorFlow Data Validation, Présentation de l'atelier : Visualisations avancées avec TensorFlow Data Validation, Une conception bien pensée pour réduire le décalage entre entraînement et inférence, Diagnostiquer un modèle de production
Introduction, Entraînement, Prédictions, Pourquoi l'entraînement distribué est nécessaire, Architectures d'entraînement distribué, Stratégies d'entraînement distribué de TensorFlow, Stratégie répliquée, Stratégie répliquée sur plusieurs nœuds de calcul, Stratégie de TPU, Stratégie de serveur de paramètres, Présentation de l'atelier : Entraînement distribué avec Keras, Entraîner un modèle avec des ensembles de données volumineux à l'aide de l'API tf.data, Présentation de l'atelier : Pipelines de données à la vitesse des TPU, Inférence
Introduction, Machine learning sur cloud hybride, Kubeflow, Présentation de l'atelier : Pipelines Kubeflow avec AI Platform, TensorFlow Lite, Optimiser TensorFlow pour mobile, Résumé
Résumé du cours
Course: 沃顿商务基础毕业项目 (中文版)
Modules:
欢迎加入沃顿商学院基础课程毕业项目!, 项目时间表, 分级和物流, 项目模板, 阅读, 项目范例
战略营销挂图, 客户中心化如何盈利, 顾客维系, 客户开发, 品牌和数字化营销, 顾客和数字化营销, 声誉和评论, 产品生命周期, 更多有关影响力的事例, 更多有关影响力的事例——第二部分, 定价策略3——心理因素, 分销策略 1——引言, 分销策略2——渠道设计, 水平冲突
引言——框架, 成本、质量、种类、响应能力, 总结视频——个案研究
应收账款, 呆账评估, 应收账款信息披露事例, 库存, 后进先出与先入先出, 库存信息披露事例, 3M公司：应收账款和库存
华为挑战
Course: Blockchain Business Models
Modules:
Course Introduction, Blockchain Overview, Types of Blockchains, Uses of Blockchains, What Blockchains Can Do, Targets for Disruption, Applications, Blockchain Ingredients, Contextualizing Blockchain in Tech, Key Takeaways
Properties of a Hashing Algorithm, Applications of Hashes, Modular Arithmetic, XOR, SHA Overview, SHA-256, Scale of SHA-256, Information Loss in SHA-256, Brute Forcing a SHA-256, Applications of SHA-256
Monoalphabetic Ciphers, Polyalphabetic Ciphers, Symmetric Digital Signatures, RSA, ECC, ECDSA, Quantum Signatures
The Original Blockchain, Hashing in the Bitcoin Blockchain, Mining, Crypto Classifications, The Crypto Vision, Ethereum Overview, Ethereum Under the Hood, The DAO, Private Blockchains
Addresses, Bitcoin Transactions, Cryptotransactions In Depth, Cryptotransaction Mechanics, Layer 2, Machine to Machine
Intro to Consensus, Nodes, Proof of Work, Efficient Hashing for Proof of Work, Proof of Stake, Byzantine Fault Tolerance, Other Consensus Algorithms
Money and Crypto, Stablecoins, Crypto Collateralized Stablecoins, Non-Collateralized Stablecoins, Initial Coin Offerings, ICO Trends, Fraudulent Crypto1, Fraudulent Crypto2, ICO Checklist
Introduction to Regulation. The Role of the SEC., The Role of the CFTC, IRS, and Other Agencies, The Transmission of Money, What is Fintech?, What Accounts for the Growth in Fintech?, What are the Implications for Business?, What are the Implications for Society?, Fintech Promise for the Unbanked, What Fueled the Growth of AI and Machine Learning?
Course: Introduction to AI and Machine Learning on GC - Italiano
Modules:
Introduzione al corso
Introduzione, Perché l'AI?, Architettura AI/ML su Google Cloud, Infrastruttura Google Cloud, Prodotti di AI e dati, Categorie dei modelli di ML, BigQuery ML, Introduzione al lab, Coursera: Introduzione a Google Cloud e Qwiklabs, Riepilogo
Introduzione, Opzioni di sviluppo dell'AI, API preaddestrate, Vertex AI, AutoML, Addestramento personalizzato, Introduzione al lab, Riepilogo
Introduzione, Flusso di lavoro ML, Preparazione dei dati, Sviluppo del modello, Erogazione del modello, MLOps e automazione di flussi di lavoro, Introduzione al lab, In che modo apprende una macchina, Riepilogo
Introduzione, AI generativa e flusso di lavoro, Gemini multimodal, Progettazione dei prompt, Ottimizzazione del modello, Model Garden, Soluzioni di AI, Introduzione al lab, Riepilogo
Riepilogo del corso
Course: Project Planning and Execution
Modules:
Welcome to the Course, Lifecycle Considerations, Project Schedule Management, Define Activities, Sequencing Project Activities, Estimating Durations, Schedule Constraints and Risks, Network Diagram, Project Schedule Template
Project Cost Management, Cost and Estimating, Estimating Tools, Determine Project Budget, Managing Project Procurement, Procurement & the Project Manager, Procurement Process, Contracts
Project Risks, Project Risk Management, Identifying Risks, Qualitative Analysis, Responding to Risks, Monitoring Risks
Project Quality Management, Quality Characteristics, Cost of Quality, Controlling Change, Closing the Project
Course: Use Generative AI as Your Thought Partner
Modules:
Welcome to the course, Setting up your GenAI playground, Using GenAI for basic queries, Using GenAI as your "Thought Partner" (part 1), Using GenAI as your "Thought Partner" (part 2), Your role as a critical thinker with GenAI
Defining your current job role, Defining your future job role
Course: Ética y Gobierno Corporativo
Modules:
Bienvenida al curso, Introducción a la responsabilidad social empresaria, Desarrollo de la responsabilidad social empresaria, La ética en las empresas, Gobierno corporativo
Incentivos que rigen la competencia, La competencia entre empresas, Entrevista: Empresas B, Comercio justo
Sustentabilidad y políticas de RSE, Impacto de desempeño, Empresas hoy
Entrevista: Sustentabilidad y negocios circulares, Consumo responsable
Course: Blockchain and Cryptography Overview
Modules:
Specialization introduction, Course Introduction, Basics of cryptography for blockchain, Role of hash functions in blockchain, Introduction to blockchain, Core components and advantages of blockchain, Assumptions and challenges in blockchain security, Factors influencing blockchain risk appraisal: Part 1, Factors influencing blockchain risk appraisal: Part 2
Blockchain consensus and Byzantine Generals Problem (BGP), Proof of Work (PoW) consensus and BGP, Proof of Work (PoW) security and attacks, Proof of Stake (PoS) consensus and BGP, Proof of Stake security, Proof of Stake attacks, Other consensus algorithms
User safety, Node and network safety, Smart contracts: Overview, Security aspects of smart contracts: Part 1, Security aspects of smart contracts: Part 2, Auditing smart contracts
Course Wrap-up video
Course: Functional Programming Principles in Scala
Modules:
Course Introduction, Lecture 1.1 - Programming Paradigms, Lecture 1.2 - Elements of Programming, Lecture 1.3 - Evaluation Strategies and Termination, Lecture 1.4 - Conditionals and Value Definitions, Lecture 1.5 - Example: square roots with Newton's method, Lecture 1.6 - Blocks and Lexical Scope, Lecture 1.7 - Tail recursion
Week 2: Introduction, Lecture 2.1 - Higher-order functions, Lecture 2.2 - Currying, Lecture 2.3 - Example: Finding Fixed Points, Lecture 2.4 - Scala Syntax Summary, Lecture 2.5 - Functions and Data, Lecture 2.6 - More Fun With Rationals, 2.7 - Evaluations and Operators
Week 3: Introduction, Lecture 3.1 - Class hierarchies, Lecture 3.2 - How classes are organized, Lecture 3.3 - Polymorphism, Lecture 3.4-Objects Everywhere, Lecture 3.5-Functions as Objects
Week 4: Introduction, Lecture 4.1 - Decomposition, Lecture 4.2 - Pattern Matching, Lecture 4.3 - Lists, Lecture 4.4 - Enums, Lecture 4.5 - Subtyping and Generics, Lecture 4.6 - Variance
Week 5: Introduction, Lecture 5.1 - A Closer Look at Lists, Lecture 5.2 - Tuples and Generic Methods, Lecture 5.3 - Higher-order list functions, Lecture 5.4 - Reduction of Lists, Lecture 5.5 - Reasoning about lists
Week 6: Introduction, Lecture 6.1 - Other Collections, Lecture 6.2 - Combinatorial Search and For-Expressions, Lecture 6.3 - Combinatorial Search Example, Lecture 6.4 - Maps, Lecture 6.5 - Putting the Pieces Together, Conclusion
Course: Meaningful Predictive Modeling
Modules:
Introduction to Course 3: Meaningful Predictive Modeling, Motivation Behind the MSE, Regression Diagnostics: MSE and R², Over- and Under-Fitting, Classification Diagnostics: Accuracy and Error, Classification Diagnostics: Precision and Recall
Setting Up a Codebase for Evaluation and Validation, Model Complexity and Regularization, Adding a Regularizer to our Model, and Evaluating the Regularized Model, Evaluating Classifiers for Ranking
Validation, “Theorems” About Training, Testing, and Validation, Implementing a Regularization Pipeline in Python, Guidelines on the Implementation of Predictive Pipelines
Project Description, Where to Find Datasets
Course: Ethics of Communication
Modules:
Welcome to the Course!, Introduction to Communication Ethics, Johnson & Johnson’s Credo: Communication Ethics in Action, Communication Ethics Literacy/Overview of Communication Ethics Definitions, Barneys New York: A Case of Shop and Frisk, Week 1 Review
Week Overview, The Ethics of Listening, Overview of Active Listening, Five Types of Listening, Improving Your Listening Habits, Active Listening Summary and Reflection
Conflict Communication Overview, Components and Causes of Conflict, Five Modes of Conflict, Analyzing and Responding to Conflict, Reflection: Conflict and Ethical Communication
Crisis Communication Overview, Defining Crisis, A Crisis Communication Framework, Crisis Communication Messaging, Crisis Communication Plan, Crisis Communication Ethics, Communication Ethics: Looking Back and Ahead
Course: Generative AI for Leaders
Modules:
Welcome, Generative AI Primer, The Future of Work, Prompt Patterns, In-Context Learning
Generative AI: a Private Thought Partner, Leadership Transition Planning with Generative AI, Building Agendas & Planning with Generative AI, Writing SEO-optimized Job Descriptions with Generative AI, Using Generative AI to Explore a Difficult HR Conversation, Augmented Proposal Analysis with Generative AI
ACHIEVE, Conclusion
Course: Work with Gemini Models in BigQuery - 日本語版
Modules:
CRM のユースケース: ソーシャル メディアの感情分析, BigQuery で AI / ML モデルを操作する, Gemini の活用例: SQL を使用して購入者レビューを分析する, Coursera: Google Cloud Platform と Qwiklabs を使用する, Gemini の活用例: Python ノートブックを使用して購入者レビューを分析する
Course: Cost Effectiveness and Decision Making for Health Care
Modules:
Introduction, Welfare Economics, Solution for Exercise 1, Defining Efficiency, Video 4 Market Failure, Solutions for Exercise 2, Market Failure in Action_Need For Economic Evaluation, First Look at Cost Effectiveness Data, Solution for Exercise 3, Competing Approaches to Economic Evaluation, Solutions for Exercise 4, Data Inputs for Cost-effectiveness Studies
Introduction to Couse 2, Choosing a Perspective For The Analysis, Solution for Exercise 1, Costing Part 1, Solution for Exercise 2, Costing Part 2, Solution for Exercise 3, Health Benefits, Solution to Exercise 4, More on health benefits
Introduction, Making Decisions About Health Services, Solution for Exercise 1, Choosing a Threshold For Cost Effectiveness, Independent and Mutually Exclusive Programmes and Net Monetary Benefits, Solution for Exercise 2, Uncertain Findings
Introduction, Features of Good Models, Decision Trees, Solution for Exercise 1, Markov Models, Solution for Exercise 2, Course Summary
Course: Introduction to Responsible AI
Modules:
Introduction to Responsible AI
Course: Gestión de la comunicación interna en las organizaciones
Modules:
Presentación del curso
Presentación de la semana, ¿Qué es la comunicación interna?, ¿Qué es una organización?, ¿Qué es un Dircom?, Historia y fases de la comunicación interna, Siete tendencias de comunicación interna, ¿Por qué es útil la comunicación interna en una organización?, ¿Quién gestiona la comunicación interna?, ¿Cuál es el capital humano de una organización?, ¿Quién compone el público interno de una organización?, ¿Qué rol ha de jugar la comunicación interna en una organización?, ¿Qué se entiende por cultura de una organización?, ¿Cuáles son los flujos de la comunicación interna?
Presentación de la semana, ¿Qué es un plan de comunicación interna?, Las cuatro fases de un plan de Comunicación Interna, La fase de investigación de un plan de comunicación interna, ¿Cómo  se planifica un plan de Comunicación Interna?, La fase de implementación de un plan de comunicación interna, La fase de medición de un plan de comunicación interna
Presentación de la semana, ¿Cuáles son los canales que la organización utiliza para conocer las opiniones o percepciones de sus colaboradores?, ¿Qué es el onboarding? ¿Por qué el equipo de comunicación tiene que participar en su configuración?, La tipología de las publicaciones internas, ¿Qué hay que tener en cuenta para difundir información vía carteles?, ¿Qué son los eventos internos? Parte I: Eventos sociales, ¿Qué son los eventos internos? Parte II: Eventos de negocio, ¿Por qué crear una intranet en la organización?, ¿En qué tipo de organoización conviene tener un correo corporativo?, ¿Qué son las redes sociales internas? ¿Qué ventajas tiene utilizarlas?, ¿Qué tipo de reuniones se hacen en una organización para fomentar la CI?, ¿Qué es un manual de bienvenida?, La comunicación interna en la Facultad de Ciencias de la Comunicación de la UAB, La comunicación interna en el Col·legi de periodistes de Catalunya
Presentación de la semana, ¿Qué es la reputación corporativa?, ¿Cuáles son los elementos de la reputación corporativa?, ¿Qué es una marca corporativa?, Atributos de la marca corporativa, ¿Por qué una organización ha de tener una marca corporativa?, Efectividad de la marca corporativa, ¿Cuál es el perfil del responsable de CI?, Principales retos de la comunicación interna en empresas multinacionales, ¿Qué es el Employer Branding y qué beneficios tiene para la organización que lo implementa?, ¿Qué es la Responsabilidad Social Corporativa y los ODS de las Naciones Unidas? ¿Cómo influyen en la comunicación interna de una organización?
Presentación de la semana, ¿Qué es una crisis?, ¿Cuáles son las fases de una crisis interna?, ¿Qué es un plan de crisis?, ¿Qué motiva una crisis?, ¿Cuáles son las etapas en la gestión de un conflicto?, ¿Cómo enfrentarse a  una crisis? Parte I, ¿Cómo enfrentarse a  una crisis? Parte II, ¿Qué es un rumor?, ¿Cómo actuar ante un rumor en una organización?, ¿Por qué una crisis como la de la Covid-19 ha reforzado el rol estratégico de la comunicación interna?, Problemas deontológicos en la comunicación interna, Resumen: Conceptos clave de la Comunicación Interna, Despedida del curso
Course: Creative Writing: The Craft of Style
Modules:
Introduction to Style, Introduction to Meaning, Sense, and Clarity, The Pyramid of Language, Scatteration, Shop Talk with Amity Gaige, Excellent Word Choice at Work, pt. 1, Excellent Word Choice at Work, pt. 2, Assignment Overview, Feedback Expectations for the Specialization
Introduction to Writing with Nouns and Verbs, Nouns and Verbs at Work, pt. 1, Nouns and Verbs at Work, pt 2., Close Reading of "Lord of Misrule", A Conversation with Jaimy Gordon, Author of "Lord of Misrule", Assignment Overview
Introduction to Economy, Surgery, Shop Talk with Brando Skyhorse, Visiting Writer: Sophie McManus, Assignment Overview
An Introduction to Things, Respecting the Reader's Mind, Shop Talk with Amy Bloom, The Reader-Writer Arc, Close Reading of "Song of Solomon", Assignment Overview
Course: Project Risk Management
Modules:
Introduction to the Course & Meet the Instructor, Definition of a Risk, Types & Impact of Project Risks, Establishing a Risk Management Framework, Contextualizing Risk Management, Risk Identification, Risk Indicators, Risk Analysis, Risk Evaluation, Risk Treatment, Risk Monitoring, Stakeholder Communication, Live Demo: Risk Register, Practical Test, Congratulations and Continuous Learning Journey
Course: Foundations of Cyber Risk Management and FAIR™
Modules:
Intro to Cyber Risk Management with FAIR™, Specialization Overview and Instructors, Welcome  to the Course, Executive Education, CEO's Cyber Risk Management Challenges, CISO's Risk Communication Challenges, Executive Oversight of Cyber Risk Management, Defining Cyber Risks, Business Communication with FAIR, Global CISO Board Reporting Insights
Inconsistent Cyber Risk Communication, Using the Language of FAIR to Partner with Others, CISO Risk Management Challenges, Building Trust with FAIR, Challenges with Board Reports, Board Cybersecurity Education, Bald Tire Metaphor, Risk Registers with Non-Risk Items, Top Cyber Risks with FAIR, Risk Analysis Placebo Effect, Flaws of Statistical Models, Qualitative vs. Quantitative Risk Management
FAIR, Factor Analysis of Information Risk, The FAIR Model, FAIR's Key Concepts, Defining Risk, Shaping Risk Cultures with FAIR, Finding Data for Risk Analysis Using FAIR, FAIR, The International Standard for Risk Management