dipopotamus/custom_instruct_coursera_course_module_list huggingface dataset:
Course: Meios digitais para resultados na saúde
Modules:
Apresentação, O que é este curso e o que não é, Insights comportamentais como base, Compreender o modelo de impulsionadores comportamentais, Definir insights comportamentais no contexto, Aprender com os insights: exemplo da UNICEF Indonésia, Estudo de caso: resposta ao Ébola na Libéria, Resumo do módulo
Apresentação do módulo, Planear a sua estratégia de campanha, Definir o seu público-alvo, Considerações sobre o público, Considerações sobre os recursos, Apresentação: Ad Council, Resumo dos factos, Alinhar metas e objetivos, Desenvolver um resumo estratégico integrado, Teoria dos 4 I, Estudo de caso: rastreio do cancro do pulmão, Estudo de caso (cont.): resultados da campanha, Resumo do módulo
Apresentação do módulo, Criar mensagens de saúde eficazes, Base dos comportamentos de saúde complexos, Mensagens baseadas em valores, Motivação de proteção, Combater as informações deturpadas e os mitos, Encorajamentos positivos e lembretes, Mensageiros eficazes, Estudo de caso: melhores práticas das mensagens, Metáforas e narração de histórias, Melhores práticas no material criativo de mensagens, Estudo de caso: melhores práticas do material criativo, Resumo do módulo
Apresentação, Considerações fundamentais para os meios digitais, Táticas práticas: implementar a sua estratégia, As métricas devem ser específicas, Estudo de caso: o poder do meme em saúde pública, Tudo com a Meta, O valor de testar previamente, Testes A/B, Estudo de caso: hesitação em relação à vacina contra a COVID-19, Resumo do módulo
Apresentação do módulo, Identificação de KPI, metas e objetivos tangíveis, Análise de métricas, Estudo sobre a valorização da marca, Estudo de caso: recuperar a atenção para combater a COVID-19, CAP e avaliação participativa, Revisão do projeto de estudo, Estudo de caso: promover a equidade na procura de vacinas contra a COVID-19, Resumo do módulo, Conclusão do curso, Créditos e agradecimento
Course: Becoming an SAP Professional
Modules:
Course & Instructor Introduction, Introduction to Becoming an SAP Professional, Explore the Path to Becoming an SAP Professional, Central SAP Products
Introduction to SAP Career, Learning Resources, and Certifications, How Certifications Can Enhance Opportunities
Introduction to SAP Career Preparation, Interview Skills: Showcasing Professionalism
Introduction to Build Your SAP Career Development Plan, Project Overview: Build your Career Development Plan, SAP Technology Consultant Professional Certificate Summary
Course: Preparing for the Google Cloud Professional Cloud Architect Exam 日本語版
Modules:
はじめに, Professional Cloud Architect 認定資格について, Google Cloud Platform と Qwiklabs を使ってみる
Professional Cloud Architect 認定試験のケーススタディ サンプル, Mountkirk Games のケーススタディ分析, Mountkirk Games のサンプル ソリューション, Dress4Win のケーススタディ分析, Dress4Win のサンプル ソリューション, TerramEarth のケーススタディ分析, TerramEarth のサンプル ソリューション
設計と実装, ビジネス要件を満たすソリューション インフラストラクチャを設計する, ケーススタディ 1, 技術要件を満たすソリューション インフラストラクチャを設計する, ネットワーク、ストレージ、コンピューティング リソースを設計する, 移行計画を作成する, 模擬試験問題 1, ソリューション インフラストラクチャの管理とプロビジョニング, ケーススタディ 2, ストレージ システムを個別に構成する, データ移行, Cloud Storage, 機械学習のためのデータ処理, コンピューティング システムを構成する, マイクロサービス、コンテナ、データ処理、IoT, コンテナとGoogle Kubernetesエンジン, 模擬試験問題 2, チャレンジラボ 1
最適化と運用, ケーススタディ 3, セキュリティを考慮して設計する, コンプライアンスを考慮して設計する, 模擬試験問題 3, ケーススタディ 4, 技術プロセスを分析、定義する, ビジネス プロセスを分析、定義する, 復元力をテストする手順を開発する, 模擬試験問題 4, ケーススタディ 5, 開発運用チームに助言する, 模擬試験問題 5, ソリューションおよびオペレーションの信頼性の確保, ケーススタディ 6, 模擬試験問題 6, チャレンジラボ 2, チャレンジラボ 3
リソースと次のステップ, 模擬試験テスト, リソース
Course: The Search for Great Ideas: Harnessing creativity to empower innovation.
Modules:
Intro to Ideation, Are You Ready For Ideas?, The Power of Observation, The Power of Play
Design Thinking Methodology, Inspiration, Ideation, Implementation
Intro to Customer Discovery, What is Customer Discovery?, Customer Discovery Plan
Course: Control automático: La tecnología invisible
Modules:
Si no estás inscrito a este curso como usuario de Coursera para la UNAM, por favor revisa esta información:, Bienvenida al curso
Nuestro día comienza con un sistema de control, Al trabajo en auto, Llegando al destino: ¡más sistemas de control!, ¿Qué es el control? Parte 1, ¿Qué es el control? Parte 2
Recorrido en el tiempo, Las ideas del control moderno
¿Qué es la dinámica?, Análisis de sistemas dinámicos, Modelos de sistemas, Modelos matemáticos
Course: Music as Biology: What We Like to Hear and Why
Modules:
Welcome to Music as Biology
Organization of the Auditory System, Sound Signals and Sound Stimuli, Tones versus Noise, Determining the Sources of Sound Stimuli
Loudness and Intensity, Pitch and Frequency, Timbre and its Causes, Observation and Linguistics, Auditory Objects and Scenes
The Production of Vocal Sound Signals, The Perception of Vocal Sound Signals, The Perception of Intensity (Loudness) in Empirical Terms, The Perception of Frequency (Pitch) in Empirical Terms, Relationship of Vocalization to Music
Defining Music, The Chromatic Scale and Some More Musical Terminology, Consonance and Dissonance, Tonality vs. Atonality: Frequency of Consonant vs. Dissonant Intervals, Tension and Resolution, Cadences, Mathematical Explanations of Consonance, A Physical Explanation of Consonance, A Biological Explanation of Consonance
Defining Scales and Modes, The Small Number of Scales Used, Testing a Biological Explanation of Scale Preference, Why Is the Number of Intervals in Scales So Limited?, The Status of the Chromatic Scale and the Semitone in Biological Terms, Is Music Uniquely Human?
Introduction to Emotion, Emotions Elicited by Major versus Minor Scales, Comparision of Major and Minor Music with Vocalization in Different Emotional States, Expression of Emotion in Eastern and Western Music, Language, Speech, and Cultural Differences in Music, Mbira Music: Background and Cyclical Structures, Mbria Music: Nonhamronic Frequencies
Mozart: Twinkle Twinkle Little Star, Derivations of the Harmonic and Melodic Minor Scales, Cadences, Berg Lieder, Background and Cyclical Structure, Nonharmonic Frequencies
Course: AWS Cloud Practitioner Essentials
Modules:
Introduction to Module 1, What is Cloud Computing?, Introduction to Module 2, Amazon EC2 Instance Types, Amazon EC2 Pricing, Scaling Amazon EC2 (Part 1), Scaling Amazon EC2 (Part 2), Directing Traffic with Elastic Load Balancing, Messaging and Queueing, Additional Compute Services, Module 2 Summary
Introduction to Module 3, Regions, Availability Zones, Edge Locations, How to Provision AWS Resources (Part 1), How to Provision AWS Resources (Part 2), Module 3 Summary, Introduction to Module 4, Connectivity to AWS, Subnets and Network Access Control Lists, Global Networking, Module 4 Summary
Introduction to Module 5, Instance Stores and Amazon Elastic Block Store (Amazon EBS), Amazon Simple Storage Service (Amazon S3), Comparing Amazon EBS and Amazon S3, Amazon Elastic File System (Amazon EFS), Amazon Relational Database Service (Amazon RDS), Amazon DynamoDB, Comparing Amazon RDS and Amazon DynamoDB, Amazon Redshift, AWS Database Migration Service (AWS DMS), Additional Database Services, Module 5 Summary
Introduction to Module 6, Shared Responsibility Model, User Permission and Access, AWS Organizations, Compliance, Denial-of-Service Attacks, Additional Security Services, Module 6 Summary
Introduction to Module 7, Amazon CloudWatch, AWS CloudTrail, AWS Trusted Advisor, Module 7 Summary, Introduction to Module 8, AWS Free Tier, Billing Dashboard, Consolidated Billing, AWS Budgets, AWS Cost Explorer, AWS Support Plans, AWS Marketplace, Module 8 Summary
Introduction to Module 9, AWS Cloud Adoption Framework (AWS CAF), Migration Strategies, AWS Snow Family, Innovation with AWS, Module 9 Summary, Introduction to Module 10, The AWS Well-Architected Framework, Benefits of the AWS Cloud
Exam Details, Exam Strategies, Post-Course Survey
Course: Computer Vision Basics
Modules:
Meet Jeff Bier, Meet Jungsong Yuan, Ph.D., What is Computer Vision?, Why Computer Vision?, Related Fields of Computer Vision, Relevant Fields, Computer Programming & Computer Vision, Computer Vision Awareness, Timelines & Milestones, Computer Vision Progression, Computer Vision Applications, CV Applications, CV Impact in the Field of Augmented Reality
Light Sources, Pinhole Camera Model, Digital Camera, Color Theory
Three-Level Paradigm, Low-, Mid-, High-Level Vision, Low-Level Vision, Mid-Level Vision, High-Level Vision
Mathematic Skills, Mathematical Preliminaries, Linear Algebra, Calculus, Probability Theory, Algorithms, Using Algorithms, Aligning RGB channels
Course: TensorFlow on Google Cloud
Modules:
Introduction
Introduction to the TensorFlow ecosystem, Introduction to TensorFlow, TensorFlow API Hierarchy, Components of TensorFlow: Tensors and Variables
Introduction, An ML recap, Training on large datasets with tf.data API, Working in-memory and with files, Getting the data ready for model training, Embeddings, Coursera: Getting Started with Google Cloud and Qwiklabs, Lab intro: TensorFlow Dataset API, Scaling data processing with tf.data and Keras preprocessing layers, Lab intro: Classifying structured data using Keras preprocessing layers
Introduction, Activation functions, Training neural networks with TensorFlow 2 and the Keras Sequential API, Serving models in the cloud, Lab intro: Introducing the Keras Sequential API on Vertex AI Platform, Training neural networks with TensorFlow 2 and the Keras Functional API, Lab intro: Build a DNN using the Keras Functional API on Vertex AI Platform, Model subclassing, Regularization basics, How can we measure model complexity:  L1 vs. L2 Regularization
Introduction, Training at scale with Vertex AI, Lab intro: Training at scale with the Vertex AI Training Service
Summary, Resource: All quiz questions, Resource: All readings, Resource: All slides
Course: Transacionando na Blockchain
Modules:
Introdução ao curso, Introdução ao instrutor, Módulo 1 Visão Geral, Criptomoedas, Tokens de Protocolos, Utility Tokens (App Coins), Security Tokens, Natural Asset & Commodity Tokens, Crypto-collectibles, Crypto-fiat Currencies and Stablecoins, Perspectiva do profissional - Andreas Wallendahl: Tokenomics, Perspectiva do profissional - Cristina Dolan: Cryptoassets, Ofertas Iniciais de Moedas: Uma Nova Geração de Meta-Ativos, Perspectiva do profissional - Rolf Hoefer: ICOs, Recapitulação de Criptoativos
Módulo 2 Visão Geral, O que são Smart Contracts?, Perspectiva do profissional - Rolf Hoefer: Smart Contracts, Fases do Smart Contract, Smart Contracts x Contratos tradicionais, Smart Contracts e o direito, Perspectiva do profissional - Andreas Wallendahl: Smart Contracts, Áreas de aplicação do smart contract, Perspectiva do profissional - Rob Carter: Contratos inteligentes, Estratégias dos Smart contracts e melhores práticas para a organização, Resumo do Módulo 2
Visão geral do módulo 3, Introdução à Identidade e Identificadores, Cinco problemas com identificadores, Sistemas distribuídos de identidade auto-soberana, Perspectiva do profissional - Carlos Augier: Identidade, Aplicativos de identidade em Blockchain, Perspectiva do profissional - Stephen Tse & Li Jiang: Dados pessoais, Gerenciando dados de saúde em uma Blockchain, Resumo de Identidade
Módulo 4 Visão Geral, Seis ineficiências nos Serviços Financeiros, As oito funções douradas Parte 1, As oito funções douradas Parte 2, Problemas com a contabilidade moderna, Um Livro-Razão Mundial, Recapitulação de Serviços Financeiros, Encerramento do Curso
Course: Google Cloud Fundamentals: Core Infrastructure in italiano
Modules:
Introduzione al corso
Panoramica sul cloud computing, IaaS e PaaS, La rete Google Cloud, Impatto ambientale, Sicurezza, Ecosistemi open source, Prezzi e fatturazione
Gerarchia delle risorse di Google Cloud, Identity and Access Management (IAM), Account di servizio, Cloud Identity, Interazione con Google Cloud, Coursera: Introduzione a Google Cloud e Qwiklabs
Networking Virtual Private Cloud, Compute Engine, Scalabilità delle VM, Compatibilità rilevanti tra VPC, Cloud Load Balancing, Cloud DNS e Cloud CDN, Collegamento di reti a Google VPC
Opzioni Google Cloud per l'archiviazione, Cloud Storage, Cloud Storage: classi di archiviazione e trasferimento di dati, Cloud SQL, Cloud Spanner, Firestore, Bigtable, Confronto tra le opzioni di archiviazione
Introduzione ai container, Kubernetes, Google Kubernetes Engine
Cloud Run, Sviluppo nel cloud
Riepilogo del corso
Course: Becoming Part of the Globalised Workplace
Modules:
Specialisation Introduction Video, Course Introduction, Video 1: Motivation, Communicate to Motivate, Using Nonverbal Cues, Persuasive Communications, Developing Persuasive Conversation
Make Effective Presentations, The Storyboard I, The Storyboard II, Strategies to Engage Attention, The Impactful Presenter, Manage the Q&A Session, Presentation with Visual Impact
Engaging Stakeholders and Counterparts, Negotiation, The Negotiators Toolkit, The Language of Negotiation I, The Language of Negotiation II
Course: Basic Mathematics
Modules:
Course Introductory Video
Real & complex number system, Argand Plane, Complex conjugate, Algebra of complex numbers, Algebra of complex numbers - Examples, Types of equations, Roots of a quadratic equation by factorization, Roots of a quadratic equation by the formula, Roots of a quadratic equation - Examples, Quadratic equation & roots
Basics of Trigonometry, Trigonometric relations, Basics of Trigonometry: Examples, Trigonometric identities, Trigonometric identities - Examples, Trigonometric identities - Examples, Applications of trigonometry - I, Applications of trigonometry - II
Definition of a matrix, Types of matrices, Algebraic operations on matrices, Algebra of matrices – Examples, Inverse of a matrix by ad joint method, Inverse of a matrix – Example 1, System of equations - Introduction, System of equations – Matrix form, Solution of system of equations, Solution of system of equations - Examples, Rank of a matrix, Rank of a matrix - Examples
Functions, Types of functions, Definition of Limit, Standard form, standard limits, Indeterminate forms, Limits - Examples, Continuity Definition, Continuity - Examples, Differentiability, Derivative of standard functions, Derivative of standard functions - Example, Derivatives - Properties, Mean Value Theorem, Applications of derivatives - Examples, Applications of derivatives - Maximum and Minimum of a Function, Applications of derivatives – First Derivative Test, Applications of derivatives – Second Derivative Test
Integral of a function, Properties, Methods of Integration - 1, Methods of Integration - 2, Product rule, Definite integrals, Applications of integration – Examples, Applications of integration - Examples
Types of Differential equations, Order and degree of a differential equation, First order and first-degree differential equations – Variables separable, Homogeneous differential equations, Non homogeneous differential equations, Exact and non – exact differential equation, First order linear differential equations
Course: Splunk Query Language and Data Analysis
Modules:
Introduction to Splunk Query Language, Introduction to SPL and Searching Basics Part 1, Introduction to SPL and Searching Basics Part 2, Creating a sample dashboard, Using eval, where and filter command Part 1, Using eval, where and filter command Part 2, Using regex, rex to extract data, Understanding Fields in Splunk Part 1, Understanding Fields in Splunk Part 2, Utilizing Tags for Data Categorization, Splunk Query Language Conclusion
Introduction to Advanced SPL Techniques, Introduction to Statistical Functions in SPL, Advanced Aggregation Techniques in SPL, Working with Advanced Statistical Functions Part 1, Working with Advanced Statistical Functions Part 2, Handling Complex Data Structures in SPL, Advanced Visualization Techniques in SPL, Real-time Data Visualization with SPL, Understanding Macros in SPL, Advanced Macros and Macro Functions Part 1, Advanced Macros and Macro Functions Part 2, Advanced SPL Techniques Conclusion
Introduction to Creating interactive dashboards in Splunk, Introduction to Visualization and their types, What are Data Models, Building a dashboard with Pivot Part 1, Building a dashboard with Pivot Part 2, Introduction to Splunk Reports, Demo Reporting Part 1, Demo Reporting Part 2, Introduction to Scheduled Searches and Alerts, Advanced Alerting Options and Settings, Fine-Tuning Alert Conditions and Triggering, Conclusion to Creating interactive dashboards in Splunk
Course: Healthcare Entrepreneurship: Taking Ideas to Market
Modules:
Welcome to Global Health Innovation, Intellectual property, Exploring the innovation landscape
Obtaining a patent, An expert's view of intellectual property: Interview with Freddy Guemeni, Obtaining intellectual property: Interview with Freddy Guemeni, Intellectual property strategy: Interview with Freddy Guemeni, Frugal innovation and intellectual property: Interview with Freddy Guemeni
Different types of funding for innovations, Overcoming funding barriers: Interview with Ana Luisa Neves, Overcoming funding barriers: Interview with Florin Gheorghe, Funding challenges: Interview with Prof James Barlow
Introduction to pitching, Exploring the 'content' aspect of pitching, How to deliver your pitch, An effective pitch
Course: Introduction to Cybersecurity Fundamentals
Modules:
Meet Your Instructor, Getting Started: Defining Cybersecurity, Reviewing The Security Model: Authentication, Your Data Online: Confidentiality, Integrity, & Availability, Key Concepts: Authorization & Non-Repudiation, Top 4: The Most Common Cyber Attacks, The Psychology Behind Cyber Attacks, Playing Defense Through Risk Mitigation, Going Beyond Traditional Passwords, Three Key Elements For Authentication, Vulnerability Alert: Email Spoofing, Top 6: Keys For Securing Your Emails At Work, Identifying Different Types Of Data, Protecting Data Through Encryption, Protecting Data Through Deletion (Part 1), Protecting Data Through Deletion (Part 2), The Framework Of IR, The Early Steps Of The IR Process, The Final Steps of the IR Process, Conclusion & Takeaways, Documentation and Reporting
Course: Managers du changement
Modules:
Manager le changement au quotidien, Prioriser et Gérer les Marges de manœuvre du changement, Traduire les changements, Co-construire en mode collaboratif, Gérer les comportements, Piloter et ancrer durablement le changement
Course: The Roles and Responsibilities of Nonprofit Boards of Directors within the Governance Process
Modules:
Welcome video introducing this series of course, Course 2 Overview Video, Week 1 Overview, Interview with Dr. Laura Schweitzer: Leadership and Governance of Nonprofit Organizations from a Practitioner Perspective
Week 2 Overview, The Impact of Board Performance Assessment: The Case of the EIL Board, The Impact of Board Performance Assessment: The Case of the CORNESTONES of CARE Introduction, The Impact of Board Performance Assessment: The Case of the CORNESTONES of CARE, Impact of Performance Assessment on Strategic Planning Video Clip, Performance Assessment Lessons Learned Video Clip
Week 3 Overview, Interview with Putnam Barber on Charitable Solicitations in the United States
Readiness Assurance Test (RAT), RAT Application Exercise
RAT Peer Discussions and Polling, RAT Application Exercise Peer Discussions and Polling
Course: Advanced Selenium WebDriver and Test Automation
Modules:
Working with Select Boxes, Working with Multi Select Boxes, Working with Datepicker, Working with Web Tables, Handling Objects within the Web Table Cells
Handling Browser Pop-Ups, Working with Multiple Browser Windows, Closing all Browser Pop-Up Windows, Close Versus Quit
iFrames, Nested iFrames
JavaScript Basic Alert Box, JavaScript Confirmation Box, JavaScript Prompt Box
Mouse Hover, Right Click, Drag and Drop, Resizing UI Elements, Slider, Multi-key Operations
What Is Test Synchronization?, Implicit Wait, Explicit Wait
Selenium v.4 Configuration, Implicit Wait in Selenium v.4, Opening New Browser Window/Tab, Relative Locators in Selenium v.4, Minimizing Browser Window in Selenium v.4, Actions Class Update in Selenium v.4
Taking Screenshot by WebDriver, Capturing Screenshot of Specific Section of Webpage, Get Height and Width of Elements, Getting X and Y Coordinates of Elements
Installing TestNG, Automating the First Test in TestNG, Assertions in TestNG, Hard versus Soft Assertions in TestNG, @BeforeMethod and @AfterMethod Annotations, @BeforeClass and @AfterClass Annotations, Managing Test Execution Using TestNG XML Files, Including and Excluding Methods in an XML File, @BeforeTest and @AfterTest Annotations, @BeforeSuite and @AfterSuite Annotations
Page Factory, Elements Collection (List) in Page Factory, Initializing Page Factory Elements, Page Object Model (POM), Creating Base Class, Creating Page Library, Creating Flow Library
TestNG Groups, TestNG Parameters, Managing Test Dependencies in TestNG, Ignoring Test Methods in TestNG, Parallel Execution in TestNG, TestNG Hypertext Markup Language (HTML) Reports, Data Provider in TestNG, Finishing Remarks
Conclusion to the Specialization
Course: Hiring Practices
Modules:
Pre-hire Practices Part I, Pre-hire Practices Part II
Recruiting Fundamentals Part I, Recruiting Fundamentals Part II
The Hiring Core Part I, The Hiring Core Part II
Onboarding & Assimilation
Course: The Marketing Plan
Modules:
Introduction to The Marketing Plan., The marketing plan: interview with Veronica Santos., The Marketing Plan definition., Objectives and structure of The Marketing Plan., The 4 main parts of a marketing plan., Critical elements of the external analysis., Critical elements of the internal analysis., The SWOT Matrix., The Nissan Leaf case., How to complete assignment 1: analysis.
Introduction to marketing strategy., What is marketing strategy?, Marketing strategy definition., Financial and non-financial objectives., The customer attraction vs customer retention dilemma., Identifying the best target segment for your product or service., How to identify the best positioning for your product or service?, How to complete assignment 2: marketing strategy.
Introduction to Marketing Mix Implementation., Marketing mix definition: short-term and tactics vs long-term tactics., Deciding product strategy: the product lifecycle., Deciding product strategy: product levels., Deciding product strategy: branding strategy., An interview with Martin Boehm., Pricing strategy., Distribution channels: interview with Maria Teresa Aranzabal., Distribution channel strategy., Integrated communication strategy: an interview with Eda Sayin., How to build an integrated communication strategy: part 1., How to build an integrated communication strategy: part 2., How to complete assignment 3: marketing mix implementation?
Introduction to expected results., Interview with Luis Rodriguez Baptista., The expected results definition., Metrics for financial objectives., Metrics for non-financial objectives: brand awareness, Metrics for non-financial objectives: social media brand., Metrics for strategic objectives., Metrics for customer objectives., The Marketing Plan budget., How to complete assignment 4: expected results?
Course: 영업 잠재 고객에게 다가가는 법
Modules:
계약을 체결해 봅시다! - 강좌 2 도입부, Craig Wortmann 소개, 고효율 미팅 운영하기, 감사 인사 쓰기, 물물교환 실습, 역할극: 물물교환 실습
2주 차 도입부, 효과 있는 질문, 효과 있는 질문을 하는 시기
3주 차 도입부, 거절 대응하기, "거절 매트릭스" 과제지 생성하기, 역할극: 거절 대응하기
4주 차 도입부, 이야기의 힘, 4가지 유형의 이야기, 스토리 매트릭스, 나만의 스토리 매트릭스 구축하기, 당신의 이야기는 무엇인가요?, 낙하 단조 이야기
5주 차 도입부, 효과적인 팀 판매, 참여 유도 규칙, 피드백의 힘, 역할극: 피드백의 힘, 과정 2 끝맺음, 물물교환 업데이트
Course: Accountability and Employee Engagement
Modules:
University of Colorado's EMP Leadership Progression, Accountability & Employee Engagement Course Introduction, Three Dimensions of Accountability, Personal Accountability, Team Accountability, Culture of Accountability, LTO Accountability Leadership Learning Scenario
Decision Making, Understanding Decision Biases & Fallacies, Classes of Business Decisions, Big Picture Risks and Risk Management, LTO Decision Making or Risk Leadership Learning Scenario
Leading Change & the Power of Culture – Guest Speaker Brynn Watson, Disruption, Culture Change, LTO Culture Change Leadership Learning Scenario
Conflict and Mediation, Critical / Crucial Conversations, LTO Dealing with Conflict Leadership Learning Scenario
Ethical Decision Making in Business – Guest Speaker – T.J. Hasty, Workforce of the Future, What is Employee Engagement?, Leading Through Authenticity and Integrity, LTO Employee Engagement Leadership Learning Scenario, Course Summary
Course: Arabic for Beginners: Arabic in the Workplace
Modules:
Course Introduction, Course Overview
Education Vocabulary 1, Education Vocabulary 2
Work and Money
Technology 1, Technology 2, Technology 3
Body Parts and Body Language, Sports and Exercise Routines
Course Outro
Course: Chinese for HSK 4
Modules:
外面很凉快 Wàimiɑn hěn liánɡkuɑi, 坐火车更节约时间 Zuò huǒchē ɡènɡ jiéyuē shíjiān, 这房子家具全 Zhè fánɡzi jiājù quán, 去丽江旅游 Qù Lìjiānɡ lǚyóu, 地球变成了一个小村子 Dìqiú biànchénɡ le yí ɡe xiǎo cūnzi
生意越做越大 Shēnɡyi yuè zuò yuè dà, 机会是相同的 Jīhuì shì xiānɡtónɡ de, 工资还挺高 Gōnɡzī hái tǐnɡ ɡāo, 保证很漂亮 Bǎozhènɡ hěn piàoliɑnɡ, 丰富工作经验 Fēnɡfù ɡōnɡzuò jīnɡyàn
去热闹的地方Qù rènɑo de dìfɑnɡ, 性格没有好坏 Xìnɡɡé méiyǒu hǎohuài, 脾气不好难交朋友 Píqi bù hǎo nán jiāo pénɡyou, 颜色影响心情 Yánsè yǐnɡxiǎnɡ xīnqínɡ, 最大的幸福 Zuì dà de xìnɡfú
运动的好处 yùndònɡ de hǎochù, 医生的建议 yīshēnɡ de jiànyì, 电影和电视节目 diànyǐnɡ hé diànshì jiémù, 演员的表演 yǎnyuán de biǎoyǎn, 科技发展与生活烦恼 kējì fāzhǎn yǔ shēnɡhuó fánnǎo
参加面试 cānjiā miànshì, 年龄和理想 niánlíng hé lǐxiǎng, 面对失败 miànduì shībài, 工作和生活 ɡōnɡzuò hé shēnɡhuó, 约会经历 yuēhuì jīnɡlì
教育孩子的方法 jiàoyù háizi de fānɡfǎ, 教育的作用 jiàoyù de zuòyòng, 选择专业 xuǎnzé zhuānyè, 成功的经验 chénɡɡōnɡ de jīnɡyàn, 变化和计划 biànhuà hé jìhuà
听力 1, 听力 2, 听力3, 听力 4
阅读1, 阅读2, 阅读3, 写作
听力1, 听力2, 听力3, 听力 4
阅读1, 阅读2, 阅读 3, 写作
Course: Controle Usando a Resposta em Frequência
Modules:
Motivação do estudo de Controle Usando a Resposta em Frequência., Introdução., A resposta em frequência de sistemas LIT., Possibilidades de visualização da resposta em frequência, Diagrama de Bode., Relação entre o diagrama de Bode e a Função de Transferência., Diagrama de Bode de sistemas de 1ª ordem., Diagrama de Bode de sistemas de 2ª ordem com polos reais não-nulos., Diagrama de Bode de sistemas de 2ª ordem do tipo 1., Definição da margem de fase. Efeito do ajuste do ganho no diagrama de Bode., Relação da margem de fase em malha aberta com o sobressinal da resposta em malha fechada., Projetando o ganho de controle proporcional com a margem de fase para satisfazer requisito de sobressinal.
Bode de Sistemas de 2ª ordem subamortecidos., Bode de malha aberta x Bode de malha fechada: cálculo ponto a ponto?, A carta de Nichols-Black, O cruzamento de 0dB e a PM na Carta de Nichols-Black: efeito do ajuste de ganho., Bode e Nichols-Black de 2ª ordem, visualizando a relação entre Margem de Fase em MA e o pico de ressonância em MF e entre ωc em MA e ωn em MF., Nichols-Black/Bode de 2ª e 3ª ordem. Estender relações entre ωc e ωn e entre ξ e PM de sistema de 2ª ordem do Tipo 1 para qualquer sistema., Projeto de sistema de 3a ordem com requisitos de sobressinal e ganho proporcional. Estimar ωn a partir de ωc., Projeto de sistema com requisitos de ωn e ganho proporcional. Estimar sobressinal a partir de PM.
O diagrama de Nyquist (resposta em frequência em coordenadas polares)., O princípio do argumento., O contorno de Nyquist e o critério de Nyquist., Análise de Nyquist usando o diagrama obtido a partir do diagrama de Bode., Esboço do diagrama de Nyquist a partir da Função de Transferência., A margem de ganho no Diagrama de Nyquist., O atraso de transporte, modelagem do atraso usando a função de transferência., Efeito do atraso no diagrama de Bode e no desempenho em malha fechada., A margem de fase e o efeito do atraso no diagrama de Nyquist.
Efeito de acrescentar um zero no diagrama de Bode., Efeito de acrescentar um polo no diagrama de Bode., Efeito de acrescentar um zero e depois um polo no diagrama de Bode., Fórmulas do avanço de fase., Ajustando ωc e PM com um compensador de avanço de fase., Exemplo de projeto de avanço de fase., Ajustando a constante de erro sem alterar (muito) ωc e a PM., Projeto de avanço e atraso, compensando o efeito do atraso., Visualizando o efeito do avanço e do atraso na carta de Nichols-Black.
Última semana, resumo do que foi e do que será visto., O controlador PD no domínio da frequência., Uma consequência ruim do PD: sinais com variação abrupta., O controlador PI no domínio da frequência., O controlador PID no domínio da frequência., Visualizando o efeito do PD, do PI e do PID na carta de Nichols-Black., Até logo.
Course: Getting Started with Terraform for Google Cloud - Français
Modules:
Présentation du cours
Présentation du module, Infrastructure as Code, Présentation de Terraform, Utiliser Terraform, Résumé du module
Présentation du module, Configurations Terraform et langage HashiCorp, Termes et concepts liés à la phase de création, Commandes Terraform, Terraform Validator, Démonstration - Workflow Terraform, Coursera : Premiers pas avec Google Cloud Platform et Qwiklabs, Présentation de l'atelier : Infrastructure as Code avec Terraform, Résumé du module
Présentation du module, Introduction aux ressources, Méta-arguments pour les ressources, Dépendances des ressources, Variables, Bonnes pratiques concernant les variables, Valeurs de sortie, Registre Terraform et kit Cloud Foundation, Présentation de l'atelier : Créer des dépendances de ressources avec Terraform, Résumé du module
Présentation du module, Introduction aux modules Terraform, Cas d'utilisation et avantages des modules, Réutiliser des configurations avec des modules, Variables et sorties, Bonnes pratiques et scénario en temps réel, Présentation de l'atelier : Automatiser le déploiement d'infrastructure avec Terraform, Résumé du module
Présentation du module, Introduction à l'état Terraform, Stocker des fichiers d'état, Bonnes pratiques concernant l'état Terraform, Présentation de l'atelier : Créer un backend distant, Résumé du module
Résumé du cours
Course: Lightcap 1:  Fundamentals of  light's impact
Modules:
General Introduction Lightcap, Introductory video LIGHTCAP 1
Section 1.1, Section 1.2, Section 1.3
Section 2.1, Section 2.2, Section 2.3
Section 3.1, Section 3.2, Section 3.3, Section 3.4
Section 4.1, Munich Chronotype Questionnaire (Optional), Section 4.2, Section 4.3, Section 4.4, Section 4.5
Section 5.1, Section 5.2, Section 5.3, Section 5.4, Section 5.5
Section 6.1, Section 6.2, Section 6.3, Section 6.4, Section 6.5, Section 6.6
Section 7.1, Section 7.2, Section 7.3
Section 8.1
Course: Responsible AI: Applying AI Principles with GC - 日本語版
Modules:
コースの概要, Google と責任ある AI, Google の AI に関する原則の概要
Economist Intelligence Unit レポート, 責任あるイノベーションのビジネスケース
AI の技術的な考慮事項と倫理的懸念, AI に関する懸念
Google の AI に関する原則が作成された過程, 倫理的問題の発見, Google の AI に関する原則の倫理的な目的
Google の AI ガバナンス, Google Cloud のレビュー プロセス, Celebrity Recognition の事例紹介
問題発見プロセス, AI に関する原則の運用化から得られた教訓: 課題, AI に関する原則の運用化から得られた教訓: ベスト プラクティス
責任ある AI への取り組みの継続
Course: A complexidade sensível: Um paralelo entre videogames e arte
Modules:
Introdução do curso, O papel do jogo na formação da cultura, Sobre jogos e arte
O paradigma da funcionalidade, O paradigma da arte para poucos, O paradigma da exibição
O paradigma da diversão, O paradigma do sucesso, O paradigma da originalidade
Os videogames na sociedade, A arte nos videogames e os videogames na arte, O videogame como objeto estético
O que é estética?, O que é complexidade?, O objeto complexo como um objeto sensível
Entrevista - "A importância da documentação", com Marcelo Rigon, Entrevista - "O framework MDA", com Caio Ribeiro, Entrevista - "O método iterativo", com Matheus Schmidt
Olhando para trás, O feedback do jogador, Considerações finais
Course: Standardisation & Technology
Modules:
Introduction
History overview, Being on Time, Telegraph alphabets, The Baltimore fire, Paper Sizes and Weights
Fundamentals Overview, EU Policy, Industry Expectations
Standard Development Organisations, Participation/Membership, Decision making & voting
Consortia overview, 3GPP, IEEE, IETF, ECMA
Future role and use of standard, Privacy, Connected cars, AI machine learning
Course: Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python
Modules:
W1V1 General Introduction, W1V2 Spatial scales and meshing, W1V3 Waves in a discrete world, W1V4 Parallel Simulations, W1V5 A bit of wave physics, W1V6 Python and Jupyter notebooks
W2V1 Introduction, W2V2 Definitions, W2V3 Taylor Series, W2V4 Python: First Derivative, W2V5 Operators, W2V6 High Order, W2V7 Python: High Order, W2V8 Summary
W3V1 Wave Equation, W3V2 Algorithm, W3V3 Boundaries, Sources, W3V4 Initialization, W3V5 Python: Waves in 1D, W3V6 Analytical Solutions, W3V7 Python: Waves in 1D, W3V8 Von Neumann Analysis, W3V9 Summary
W4V1 Acoustic Waves 2D – Analytical Solutions, W4V2 Acoustic Waves 2D – Finite-Difference Algorithm, W4V3 Python: Acoustic Waves 2D, W4V4 Acoustic Waves 2D – von Neumann Analysis, W4V5 Acoustic Waves 2D – Waves in a Fault Zone, W4V6 Python: Waves in a Fault Zone, W4V7 Elastic Wave Equation – Staggered Grids, W4V8 Python: Staggered Grids, W4V9 Improving numerical accuracy, W4V10 Wrap up
W5V1 Function Interpolation – Trigonometric basis functions, W5V2 Fourier Series - Examples, W5V3 Discrete Fourier Series, W5V4 The Fourier Transform - Derivative, W5V5 Solving the 1D/2D Wave Equation with Python, W5V6 Convolutional Operators, W5V7 Chebyshev Polynomials - Derivatives, W5V8 Chebyshev Method – 1D Elastic Wave Equation, W5V9 Summary
W6V1 Introduction - Static Elasticity, W6V2 Weak Form - Galerkin Principle, W6V3 Solution Scheme, W6V4 Boundary Conditions - System Matrices, W6V5 Relaxation Method - Python: Static Eleasticity
W7V1Introduction - Dynamic Elasticity, W7V2 Solution Algorithm - 1D Elastic Case, W7V3 Differentiation Matrices, W7V4 Python: 1D Elastic Wave Equation, W7V5 h-adaptivity, W7V6 Shape Functions, W7V7 Dynamic Elasticity - Summary
W8V1 Introduction, W8V2 Weak Form - Matrix Formulation, W8V3 Element Level, W8V4 Lagrange Interpolation, W8V5 Python:Lagrange Interpolation, W8V6 Numerical Integration, W8V7 Python Numerical Integration
W9V1 Lagrange Derivative - Legendre Polynomials, W9V2 System of Equations - Element Level, W9V3 Global Assembly, W9V4 Python: 1D Homogeneous Case, W9V5 Python: Heterogeneous Case in 1D, W9V6 Convergence Test, W9V7 Wrap Up
Course: Applying Machine Learning to Your Data with GC - Español
Modules:
Introducción al curso
Introducción al aprendizaje automático, Demostración: Google Fotos, ¿Qué es el aprendizaje profundo?, Aplicaciones de AA empresariales, Términos de AA: Instancias, atributos y etiquetas, El espectro de las herramientas de AA
Modelos de AA previamente entrenados, Demostración: APIs de Cloud Translate y Vision, Demostración: API de Natural Language Processing, Coursera: Empezar a usar Google Cloud y Qwiklabs
¿Qué hace que un conjunto de datos sea adecuado para el AA?, Elección de buenos atributos, Exploración y procesamiento previo de datos, Otras herramientas para crear canalizaciones de datos, Conocer lo desconocido, Creación de divisiones repetibles de conjuntos de datos
Presentación del aprendizaje automático en BigQuery, Etapas de la creación de modelos, Introducción al lab: Predice compras de visitantes que regresan con BigQuery
Resumen del curso
Course: Digitalisation in the Aerospace Industry
Modules:
Digitalisation in the Aerospace Industry
Introduction, Cyber-physical systems, Digital Twin, Assistance systems, Robotics, Conclusion
Workload and Human-Factors Analysis, The psycho-social implications of digitalisation, The Psychology of the Future Leader
The World of Certification covering CAMO, The Significance of Testing concerning Maintenance of Aircraft, The Importance of Supply Chain within Maintenance, Interaction of Maintenance and Product Life Cycle, Maintenance in the Age of Digitalisation
Course: Intro to International Marketing
Modules:
Introduction to Specialization, 1.1 Introduction to Course, 1.2 What is Marketing?, 1.3 What is Marketing Execution?, 1.4 Cross Cultural Analysis Platforms, 1.5 LG Interview (Jeongseok Lee)
2.1 What is Marketing Strategy?, 2.2 VSA, 2.3 Transing, 2.4 Cross Industry Innovation, 2.5 LG Interview (Siwan Ryu), 2.6 Luxury Marketing Interview H. Lee
3.1 What is Branding?, 3.2 International Branding Strategy, 3.3 Cross Industry Branding, 3.4 ASIANA COBRA part1, 3.5 ASIANA COBRA part2, Instructor's Thank You
Course: Business intelligence and data warehousing
Modules:
Introduction to BI, How data is analyzed?
Design and implement an analytical databases, Steps to Multidimensional model OLTP
Extract, transform and load data, Typical OLAP operations
The process of data mining, ID3 Algorithms
Data types according to structure of data, Integrate, store and analyze unstructured data
What Big Data is?, Analysis of unstructured data
Course: Creating New BigQuery Datasets and Visualizing Insights 日本語版
Modules:
コース概要, Google アナリティクス e コマース データセットのまとめ
永続テーブルを作成する, 一時テーブルとクエリ結果, パフォーマンスのプレビュー: クエリのキャッシュ, 論理ビューを作成する, ラボの概要: BigQuery で永続テーブルとアクセス制御ビューを作成する, Coursera: Google Cloud Platform と Qwiklabs を使用する
BigQuery に新しいデータを取り込む, ラボの概要: BigQuery に新しいデータセットを取り込む
JOIN と UNION の概要, テーブル ワイルドカードを使用して結合を簡単にする, 複数のテーブル間でのデータのリンク, SQL Join の例, データセットを結合するときの問題を回避する, Google アナリティクス e コマース データセットのまとめ, ラボの概要: UNION と JOIN によるデータセットの結合
データ可視化の原則の概要, 可視化の良い例と悪い例, ディメンション、メジャー、レポート, Google データポータルの概要, ラボの概要: Looker Studio を使ったデータ探索とレポート作成
コースのまとめ
Course: HTML y CSS en detalle
Modules:
Introducción al programa, Introducción a HTML y CSS en detalle, ¿Cómo se utilizan HTML y CSS en el mundo real?, Resumen: lo que sabe sobre HTML y CSS, Etiquetas semánticas y por qué las necesitamos, Etiquetas semánticas en acción, Metadatos, Diseño básico, UX con metaetiquetas, Creación de una tarjeta para redes sociales, Formularios y validación, Crear un formulario, Aprovechar al máximo la validación del lado del cliente, Botones de radio, Uso de elementos de formulario interactivos, Presentación de formularios, Diferencias de los navegadores, Video y audio, Reproductores integrados, iFrames, iFrame como imagen, El elemento canvas, Resumen del módulo: análisis detallado de HTML
Disposición web CSS, Flexbox básico, Gráficos de Flex, Cuadrículas CSS, Presentación de cuadrícula, Estudio de caso: cómo Meta crea compilaciones adaptables, Selectores muy utilizados, Selectores de combinación, Pseudoclases, Uso práctico de pseudo, Qué es un efecto, Efectos de texto, Transformaciones y transiciones CSS, Animación CSS, Ejemplos de animación, Errores comunes, Gestión de errores, Herramientas de depuración, CSS específico del navegador, Pruebas de interfaz de usuario, Estudio de caso: cómo Meta realiza las pruebas de front-end, Resumen del módulo: CSS interactivo
Resumen del curso, Selección del tema y elaboración de la maqueta, Colocación de elementos, creación de marcadores de posición, Planificación de la experiencia del usuario, Ejemplar: hasta ahora todo bien, ¡Felicitaciones! Ha completado HTMLS y CSS en detalle.
Course: Posicionamiento: La base del éxito en la estrategia de marketing
Modules:
1.0 ¿Por qué posicionamiento?, 1.1 ¿Por dónde empezamos?, 1.2 Posicionamiento como elemento clave en el proceso de Marketing, 1.3 Análisis del entorno: Contexto y Clientes, 1.4 Análisis del entorno: Colaboradores, Competidores y Compañía, 1.5 ¿Qué nos aporta un buen posicionamiento y cuáles son las consecuencias de no estar bien posicionado?
2.0 ¿Qué es un segmento?, 2.1 Mercado de masas, segmentos, nichos e individuos, 2.2 Niveles de segmentación, 2.3 ¿Por qué debemos segmentar?, 2.4 Razones para segmentar, 2.5 Criterios de segmentación: geográfico y sociodemográfico, 2.6 Criterios de segmentación: psicográfico y conductual, 2.7 Segmentación efectiva, 2.8 Modelos de segmentación, 2.9 Entrevista a un experto; Jaime Veiga, Global Strategic Insights – Southern Europe Head at Johnson & Johnson
3.0 ¿Por qué diferenciación?, 3.1 ¿Qué es diferenciación y propuesta de valor?, 3.2 Identificando la propuesta de valor, 3.3 Marco de referencia, puntos de paridad y puntos de diferencia, 3.4 Selección de los puntos de diferencia, 3.5 Modelo de Urbany y Davis, 3.6 Estrategias y palancas de diferenciación, 3.7 Sumario Sesión 3, 3.8 Entrevista a un experto; Jacobo Galvez, Marketing Director Consumer Business Unit en Vodafone España
4.0 Introducción a la sesión, 4.1 ¿Qué es y qué no es posicionamiento?, 4.2 Ejemplos de posicionamiento, 4.3 Declaración de posicionamiento, 4.4 Determinación del Plan Comercial basado en el posicionamiento, 4.5 ¿Cómo determinar la propuesta de valor? Mapas perceptuales de posicionamiento, 4.6 Mapas perceptuales de tela de araña, 4.7 Estrategias alternativas de posicionamiento, 4.8 Tendencias Claves que impactan en el Posicionamiento (Parte 1), 4.9 Tendencias Claves que impactan en el Posicionamiento (Parte 2), 4.10 Resumen del curso, ¿Preparado para seguir aprendiendo?
Course: Les bits et les octets des réseaux informatiques
Modules:
Introduction au cours, Le modèle de réseau TCP/IP à cinq couches, Alex Pourquoi les réseaux informatiques, Câbles, Concentrateurs et commutateurs, Routeurs, Serveurs et clients, Sergio, ingénieur réseau, Déplacement des bits sur le câble, Câblage à paires torsadées et duplexage, Ports réseau et panneaux de connexion, Adresses Ethernet et MAC, Monodiffusion, multidiffusion et diffusion, Disséquer une trame Ethernet, Victor Escobedo : Expérience pratique en informatique
Introduction à la couche réseau, La couche réseau, Adresses IP, Datagrammes IP et encapsulation, Classes d'adresses IP, Protocole de résolution d'adresse, Sergio Chemin, Sous-réseau, Masques de sous-réseau, Mathématiques binaires de base, CIDR, Motivation, Concepts de base du routage, Tables de routage, Protocoles de passerelle intérieure, Protocoles de passerelle extérieure, Espace d'adressage non routable, Alex Bonne histoire
Introduction aux couches de transport et d’application, La couche de transport, Dissection d’un segment TCP, Indicateurs de contrôle TCP et Three-way Handshake, États de socket TCP, Protocoles orientés connexion et protocoles sans connexion, Pare-feu, La couche d’application, La couche application et le modèle OSI, Toutes les couches qui fonctionnent à l’unisson
Introduction aux services réseau, Pourquoi avons-nous besoin du DNS ?, Les nombreuses étapes de la résolution de noms, DNS et UDP, Sergio, domaine informatique superbe, Types d'enregistrement de ressources, Anatomie d'un nom de domaine, Zones DNS, Présentation du DHCP, DHCP en action, Les bases de la NAT, La NAT et la couche transport, La NAT, espace d'adressage non routable et limites de l'IPv4, Réseaux privés virtuels (VPN), Services proxy
Introduction à la connexion à Internet, Accès commuté, modems et protocoles point à point, Qu'est-ce que le haut débit ?, Technologies T-Carrier, Lignes d'abonnés numériques, Haut débit par câble, Connexions à la fibre optique, Technologies de réseau étendu, VPN point à point, Introduction aux technologies de réseau sans fil, Configurations de réseau sans fil, Canaux sans fil, Sécurité des réseaux sans fil, Réseau cellulaire, Réseaux d'appareils mobiles
Introduction au dépannage et à l’avenir des réseaux, Ping : Protocole ICMP (Internet Control Message Protocol), Traceroute, Test de la connectivité des ports, Outils de résolution de noms, Serveurs DNS publics, Enregistrement DNS et expiration, Fichiers hôtes, Qu’est-ce que le Cloud ?, Tout en tant que service, Stockage en ligne, Adressage et sous-réseaux IPv6, En-têtes IPv6, IPv6 et IPv4 Harmony, Jeu de rôle d'entretien : Réseautage, Résumé du cours, Cheminement de carrière d’Alex, Félicitations !
Course: Laravel: Configure, Validate, Authenticate and Authorize
Modules:
Secure Coding in Laravel with Aaron Soray, Prerequisites and how to use this learning path, Installation of the framework, Secure installation of third-party packages, Staying up to date with Laravel security
Securing secrets and using configuration, Environment and debug impacts, Forcing SSL, Log filtering, Exception handler configuration
Validation overview, Validating data types, Validating data from available selection, Validating boundaries, Custom validation rules, Form request validation, Third-party data validation
Authentication kits/scaffolding, Custom authentication, Checking authentication, Managing authentication
Understanding gates, Understanding policies, Roles and permissions, Authorization recommendations
Course: A Strategic Approach to Cybersecurity
Modules:
Foundations: An Introduction (Please watch if you have not yet taken the first course of this series [optional course, unless you are taking the full specialization]: Cybersecurity for Everyone), Overview: A Strategic Approach to Cybersecurity, Introduction to the Course, What Do We Mean by a Strategic Approach to Cybersecurity?, Cybersecurity in the Private Sector Context, Cybersecurity in the Public Sector Context
Private Organizations: Complexity, Interdependence, and Layered Defense, Private Organizations: Framework for Practical Action, NIST Functions: Identify, NIST Functions: Protect
NIST Functions: Detect, NIST Functions: Respond, NIST Functions: Recover, Strategic Context and Developing Cyber Maturity
How Do Governments See the Cybersecurity Problem?, Defining and Categorizing Critical Infrastructure, When and How Does a Government Respond?
Beyond Critical Sectors: Defining National Critical Functions, National Critical Functions: Connections, National Critical Functions: Distribution, National Critical Functions: Management, National Critical Functions: Supplies
What Do We Mean by Strategic Consequence?, From Device to National Critical Function, Final Thoughts: Interdependency
Course: صياغة الأفكار المحفِّزة على الابتكار
Modules:
مقدمة عن مفهوم صياغة الأفكار, ما المقصود بصياغة الأفكار؟ الاستماع إلى آراء الخبراء, قصة Good Kitchen, ابتكار نموذج الأعمال, التحديات الأكثر ملاءمةً لصياغة الأفكار, أداة المحاكاة الافتراضية
فيزياء الابتكار, قصة جورج وجيوف, إلى أي مدى استعد عقلك؟, أداة رواية القصص
عملية توليد الأفكار, الجزء الأول من قصة MeYouHealth: ما المقصود به؟, الجزء الثاني من قصة MeYouHealth: ماذا إذا؟, أداة رسم الخرائط الذهنية
"ما المدهش" و"ماذا يجدي"؟, قصة IBM, أداة تشغيل التعلُّم, مراجعة الدروس, الفرص الإستراتيجية
نظرة عامة على المهمة النهائية
Course: Sustainable Textile Manufacturing
Modules:
Sustainable Textile Manufacturing
Raw materials, New sustaninable materials, Spinning and Weaving, Spinning – Case study Zegna Baruffa Lane Borgosesia, Weaving – Case study Vitale Barberis Canonico
Design, Design case study, Prototyping and production
Integrating innovative technologies, Integrating innovative techonologies: case study Shima Seiki
Final Quiz
Course: Inferential and Predictive Statistics for Business
Modules:
Welcome to Inferential and Predictive Statistics for Business!, Learn on Your Terms, Excel Data Analysis Toolpak
1-1.1. Formulating the Hypothesis, 1-2.1. Analyzing the Result, 1-3.1. Two-Tail Test for Mean, 1-3.2. Two-Tail Test for Mean in Excel, 1-4.1. One-Tail Test for Mean, 1-4.2. Left-Tail Test for Mean in Excel, 1-4.3. Right-Tail Test for Mean in Excel, 1-5.1. Testing the Proportion, 1-5.2. Left-Tail Test for Proportion in Excel, 1-5.3. Right-Tail Test for Proportion in Excel, 1-5.4. Two-Tail Test for Proportion in Excel
2-1.1. Testing for No Difference in Means, 2-1.2. Testing for No Difference in Means in Excel, 2-1.3.  Two-Tail Mean Test for Two Samples  and Calculating the Confidence Interval in Excel, 2-2.1. One-Tail Test of the Means, 2-2.2. One-Tail Test of the Means in Excel, 2-3.1. Testing for a Specific Value in Means, 2-4.1. Paired Tests, 2-4.2. Paired Test in Excel, 2-5.1. Test of Proportions, 2-5.2. One-Tail Test of Proportions for Two Samples in Excel, 2-5.3. Two-Tail Test of Proportions for Two Samples in Excel
3-1.1. An Introduction, 3-2.1. Least Square Methods, 3-2.2. Least Square Method in Excel, 3-3.1. Assessing the Regression Model, 3-3.2. Testing the Significance in Excel, 3-4.1. Using the Model, 3-4.2. Simple Linear Regression: Excel Output Analysis, 3-5.1. Model Assumptions and Limitations, 3-5.2. Residual Analysis in Excel
4-1.1. Model Introduction, 4-1.2. Developing Multiple Regression Model in Excel, 4-1.3. Multiple Regression: Excel Output Analysis, 4-2.1. Qualitative Data – Two Categories, 4-2.2. Dummy Variable in Excel – Two Categories, 4-3.1. Qualitative Data – Many Categories, 4-3.2. Dummy Variable in Excel – Many Categories