dipopotamus/custom_instruct_coursera_course_module_list huggingface dataset:
Course: Collaborative Foresight: How to Game the Future
Modules:
Welcome to this course - Meet your professor, Jane McGonigal, Why the Future is Like a Game, Expert Gaming Versus Everyone Gaming, Example of a Massively Multiplayer Forecasting Game
What's a Future Wheel?, Examples of Surprising Consequences, 5 Scenarios to Game Out
Two Sides of Every Future, The Future of Empathy, SCENARIO: The FeelThat Network, Advanced Positive and Shadow Imagination
Mini-Masterclass: How to Find Leading Edge Behaviors, How to Explore Four Future Feelings (Part 1), How to Explore Four Future Feelings (Part 2)
What's an Epic Win?, Epic Wins from the Future of Technology, Tips on Creating Epic Wins, How to Play the Equitable Futures Card Game (Part 1), How to Play the Equitable Future Card Game (Part 2), Congratulations on finishing the course!
Course: Réseaux neuronaux et Deep Learning
Modules:
Bienvenue, Qu’est-ce qu’un réseau neuronal ?, Apprentissage supervisé avec des réseaux neuronaux, Pourquoi le Deep Learning est-il en plein essor ?, À propos de ce cours, Ressources des cours, Entretien avec Geoffrey Hinton
Classification binaire, Régression logistique, Fonction de coût d’une régression logistique, Descente du gradient, Dérivées, Plus d’exemples de dérivées, Graphe de calcul, Dérivées avec un graphe de calcul, Descente du gradient d’une régression logistique, Descente du gradient sur des exemples de m, Vectorisation, Autres exemples de vectorisation, Vectorisation de régression logistique, Vectorisation de la sortie du gradient d’une régression logistique, Diffusion dans Python, Remarque sur les vecteurs Python/NumPy, Bref aperçu des notebooks Jupyter/iPython, Explication de la fonction de coût d’une régression logistique (facultatif), Entretien avec Pieter Abbeel
Vue d’ensemble des réseaux neuronaux, Représentation des réseaux neuronaux, Calculer la sortie d’un réseau neuronal, Vectorisation sur plusieurs exemples, Explication de l’implémentation vectorisée, Fonctions d’activation, Pourquoi avez-vous besoin de fonctions d’activation non linéaires ?, Dérivées de fonctions d’activation, Descente du gradient pour les réseaux neuronaux, Intuition de la rétropropagation (facultatif), Initialisation aléatoire, Entretien avec Ian Goodfellow
Réseau neuronal profond à couche L, Propagation avant dans un réseau profond, Obtenir les bonnes dimensions pour votre matrice, Pourquoi des représentations profondes ?, Constitution des réseaux neuronaux profonds, Propagation avant et rétropropagation, Paramètres et hyperparamètres, Quel est le rapport avec le cerveau ?
Course: Atención Primaria en Salud: El desafío de las Enfermedades no Transmisibles
Modules:
Bienvenida
Panorama epidemiológico de las ENT
Organización del Sistema de Salud en niveles de atención, Niveles de prevención en el contexto de atención a personas con ENT
Organización actual de la atención a personas con ENT
Organización de la atención de acuerdo a un modelo de cuidados crónicos
Cuidados integrados, integrales, continuos, Provisión de cuidado continuos
Buenas prácticas para proveer cuidados continuos - Dr. Barceló 1, Buenas prácticas para proveer cuidados continuos - Dr. Barceló 2, Buenas prácticas para proveer cuidados continuos - Dr. Barceló 3, Buenas prácticas para proveer cuidados continuos - Dr. Barceló 4
Evaluación Final
Course: Vers l'infiniment grand
Modules:
En route vers l'infiniment grand, Les messagers du cosmos, Vie et mort des étoiles
Les forces fondamentales de l'Univers, La relativité générale et ses tests
Les grandes structures du cosmos, Du Big Bang à nos jours, La composition de l'Univers
Observer le cosmos avec des satellites, Les projets pour l'avenir
Course: Bending the Curve: Climate Change Solutions 1
Modules:
Bending the Curve Series Introduction, Introduction to Climate Change Impacts, Anthropocene & Planetary Stewardship [V. Ramanathan, 7:50], Greenhouse Effect & Global Warming [V. Ramanathan, 10:26], Why & How is Climate Changing? [V. Ramanathan, 11:58], Climate Change Impacts [V. Ramanathan, 12:51], Projected Warming & Summary [V. Ramanathan, 8:35], Sea Level Rise from Melting Sheets: How Melting Happens [E. Rignot, 11:14]
Man + Nature [F. Forman, 14:45], Climate Justice [F. Forman, 9:12], Disproportionate Impacts [F. Forman, 4:42], Defining Climate Injustice & Climate Justice [6:21], Cases of Climate Injustice [D. Pellow, 9:17], Global Climate Policy Frameworks [D. Pellow, 10:24], What Might Climate Justice Look Like? [D. Pellow, 4:33], Air: Hot & Dirty [G. Solomon, 8:29], Water: Dry or Drown [G. Solomon, 8:36], Disease: The Coming Plagues? [G. Solomon, 11:54]
Introduction to Six Clusters & Ten Solutions [V. Ramanathan, 4:33], Setting the Stage for Mitigation [V. Ramanathan, 8:22], Six Clusters as Organizing Principles [V. Ramanathan, 9:47], The Ten Solutions [V. Ramanathan, 15:48], Living Laboratories [V. Ramanathan, 9:36]
Introduction to Your Leadership [H. Han, 4:25], Why Collective Action [H. Han, 8:05], What is a Social Movement? [H. Han, 9:17], What is the Role of Leadership? [H. Han, 13:03], What Can I Do? (Part 1) [H. Han, 8:16], What Can I Do? (Part 2) [H. Han, 10:16]
Changing Social Norms & Behavior: Integral Solutions [F. Forman, 10:16], Cities as Living Laboratories [F. Forman, 7:42], University of California San Diego Community Stations [F. Forman, 6:02]
Climate Emergency [M.E. Tucker, 16:06], Papal Encyclical [M.E. Tucker, 8:01], Journey of the Universe [M.E. Tucker, 8:58], Religious-Sounding Objections to Climate Change [K. Hayhoe, 6:18], What Science Really Says about Climate Change [K. Hayhoe, 7:55], What the Bible Really Says About Climate Change [K. Hayhoe, 9:43], The Real Problems [K. Hayhoe, 11:39], The Way Forward [K. Hayhoe, 11:31]
Why Climate Communication Often Fails [J. Christensen, 6:30], How Climate Science Communication Works [J. Christensen, 8:47], Moving Beyond Gloom and Doom [J. Christensen, 8:16], Climate Science Communication: Preparation [R.C.J. Sommerville, 6:51], Climate Science Communication: Stories [R.C.J. Sommerville, 5:47], Climate Science Communication: Metaphors [R.C.J. Sommerville, 3:27], Climate Science Communication: Language [R.C.J. Sommerville, 2:40], Climate Science Communication: Solutions [R.C.J. Sommerville, 6:55]
Course: Web Design: Wireframes to Prototypes
Modules:
Course Introduction, Why Peer Review?, Peer Review Tips, How to apply feedback
Introduction to Week 1, Introduction to Wireframes, Responsive Design: What size should your website be?, Introduction and Primary navigation, Secondary and utility navigation, Related content, inline links, indexes, and search, Wayfinding, Header, Footer, Sidebar, Content, Common Form Elements, Introduction to Homepage Content Strategies, Examples of Homepage Content Strategies, Wireframing Tools, Wireframes: Bradley, Wireframes: Alyson, part 1, Wireframes: Alyson, part 2
Introduction to Week 2, Visual Mockups, Design Principles, What is whitespace?, Using whitespace to style a form, A visual comparison, Web Fonts, Web Typography: A few tips, Creating Visual Mockups, Moodboards and Homepage Mockup: Bradley, Homepage Mockup: Alyson, Interview with Rob Hope: Web design trends
Introduction to Week 3, Do I Need to Learn How to Code?, Survey of Web Technologies, HTML vs. CSS vs. Javascript: A metaphorical adventure, HTML Basics, CSS Basics, Web Inspector
Introduction to Week 4, Clickable Prototypes Introduction, Invision Introduction, Exporting Assets, Importing Assets and Creating Hotspots, Hotspot Templates, Full Mockups: Bradley, Full Mockups: Alyson
Course: Goldman Sachs 10,000 Women के साथ, प्रबंधन के मूल सिद्धांत
Modules:
स्वागतम्, कार्य विवरण महत्वपूर्ण क्यों हैं?, अपने उम्मीदवार का चयन करना, विकासात्मक अनुशिक्षण, प्रत्यायोजन कौशल, प्रदर्शन प्रबंधन प्रक्रिया
Course: Navigating Generative AI Risks for Leaders
Modules:
Welcome to the course, GenAI risks: What CEOs should know and do about them, Concerns about AI, Ethical considerations for GenAI, Creating Responsible AI principles and practices, Responsible AI, Introduction to Responsible AI, Data security and privacy considerations for GenAI, Navigating the regulatory and legal landscape, AI Bill of Rights (Alondra Nelson, IAS), Course wrap-up
Course: TOEFL Speaking and Writing Sections Skills Mastery
Modules:
Meet Your Teacher, Independent Speaking Task (Part 1), Independent Speaking Task (Part 2)
Integrated Speaking Task (Part 1), Integrated Speaking Task (Part 2), Integrated Speaking Task (Part 3)
Integrated Writing Task (Part 1), Integrated Writing Task (Part 2)
Independent Writing Task (Part 1), Independent Writing Task (Part 2)
Course: Database Architecture, Scale, and NoSQL with Elasticsearch
Modules:
Welcome to the Course, Lecture: To SQL or to NoSQL?, Scaling Relational Databases, Office Hours, Breda, Netherlands, Office Hours, Bletchley Park, Milton Keynes, UK
First Generation Cloud Applications 1/2, First Generation Cloud Applications 2/2, Second Generation Cloud Applications, The Emergence of BASE Solutions (i.e. NoSQL), Reacting to the Rise of NoSQL, Office Hours- Kitchener, Ontario, Canada, Office Hours - Mumbai, India (IIT TechFest)
Elasticsearch Overview, Programming Elasticsearch, Demonstration: Loading a Book into Elasticsearch, Demonstration: Loading Email into Elasticsearch, Demonstration: Elasticsearch Tweets, Office Hours - Seattle, Washington, USA, Office Hours, Phoenix, Arizona, USA
Course Wrap Up
Course: Creativity Toolkit II: Creative Collaboration
Modules:
Meet Professors Loewenstein & Goncalo, Meet Professor Mehta, Learn on Your Terms
1-1.1 Make it Feel Right, 1-2 Changing Others' Perspectives, 1-3.1 Storytelling
2-1.1 In the Eye of the Beholder, 2-2.1 Do I Want Creativity?, 2-3.1 Indicators of Creativity, 2-4.1 Pitchers
3-1.1 Connecting Minds, 3-2.1 Teams Put Up Barriers, 3-3.1 Conformity, 3-3.2 Blind Obedience, 3-3.3 Polarization, 3-3.4 Feeling Like a Deviant When You're Not, 3-3.5 Common Knowledge, 3-3.6 Over-confident Teams, 3-3.7 Why Do We Feel Creative in Teams?
4-1.1 Leveraging Social Influence, 4-2.1 Individualism, 4-3.1 Norms that Permit Dissent, 4-4.1 Norms that Permit Competition, 4-5.1 The Strong Culture Debate, 4-6.1 Breaking Barriers and Being Creative in Teams, 4-7.1 Course Wrap-up, Michael Day full-length interview
Course: Data Transformation in the Cloud
Modules:
Introduction to course 3, Alyx: Data analysts help others learn from data, Welcome to module 1, Stages of the data journey, Steps for effective data collection, The process stage ensures clean and consistent data, Manual and automated transformation, Wrap-up
Welcome to module 2, Data pipelines in the cloud, Alyssa: Improve systems by collecting data and asking questions, The difference between ELT and ETL, Data ingestion methods that suit your needs, Data mapping helps ensure consistent data, Introduction to profiling and cleaning data, Common ways to manipulate data, Different approaches to loading data, Overview of data validation strategies and rules, Wrap-up
Welcome to module 3, Challenges of data transformation, Data aggregation can make it easier to extract meaningful insights, Consequences of duplicate data and how to eliminate it, Overview of how joins combine data from different tables, Data derivation to combine data and obtain new insights, Wrap-up, Lauren: What makes candidates stand out, Lauren and Ela: Interview role play, Course wrap-up
Course: 신경망 및 딥 러닝
Modules:
시작, 신경망이란 무엇입니까?, 신경망을 사용한 지도 학습, 딥 러닝이 도약하는 이유는 무엇입니까?, 이 과정 소개, Geoffrey Hinton 인터뷰
이진 분류, 로지스틱 회귀, 로지스틱 회귀 비용 함수, 기울기 하강, 도함수, 더 많은 도함수의 예, 계산 그래프, 계산 그래프가 있는 도함수, 로지스틱 회귀 기울기 하강, m에 대한 기울기 하강 예, 벡터화, 더 많은 벡터화 예제, 로지스틱 회귀 벡터화하기, 로지스틱 회귀의 기울기 출력 벡터화하기, 파이썬으로 브로드캐스팅하기, 파이썬/Numpy 벡터에 대한 참고 사항, Jupyter/iPython 노트북의 빠른 둘러보기, 로지스틱 회귀 비용 함수 설명(선택 사항), Pieter Abbeel 인터뷰
신경망 개요, 신경망 표현, 신경망의 출력 계산, 여러 예제에서 벡터화하기, 벡터화 구현에 대한 설명, 활성화 함수, 비선형 활성화 함수가 필요한 이유는 무엇입니까?, 활성화 함수의 도함수, 신경망에 대한 기울기 하강, 역전파 직관(선택 사항), 무작위 초기화, Ian Goodfellow 인터뷰
심층 L 레이어 신경망, 심층 네트워크에서의 순방향 전파, 행렬 차원을 올바르게 얻기, 왜 심층 표현입니까?, 심층 신경망의 빌딩 블록, 순방향 및 역방향 전파, 파라미터 대 하이퍼파라미터, 이것이 뇌와 어떤 관련이 있습니까?
Course: Musicianship: Tensions, Harmonic Function, and Modal Interchange
Modules:
Welcome!
What You Need To Know, Eb Major and Chord Tensions, Harmonic Function, Ear Training Practice with Chords, Ear Training Practice with Chord Progressions, Lesson Review and Practice for the Week
Review From Lesson 1, The II- V I Progression, The Diminished 7th Chord, Ear Training Practice, Lesson Review and Practice for the Week
Review from Lesson 2, Modal Interchange, Key of D Major and the bVI bVII I Progression, Ear Training Practice, Lesson Review and Practice for the Week
Review from Lesson 3, Suspended Chords, Preparing For Your Final Project - Part 1, Preparing For Your Final Project - Part 2, Ear Training Practice, Write a 16-Measure Song, Giving and Receiving Feedback, Congratulations!
Course: The Role of Culture in Teaching English Learners
Modules:
Course Introduction Video, A Metaphor for Culture, Tips for Teachers: Culture in the Classroom, Personal, Social, and Cultural Identities, Tips for Teachers: Identity in the Classroom, Enculturation vs. Acculturation
Preparing to Become a Culturally Responsive Educator, Tips for Teachers: Cultural Inclusivity in the Classroom, Culture Shock, Tips for Teachers: Navigating Cultural Differences Across Educational Systems in the Classroom, Teacher Interview: Culture as an Asset in the ESL Classroom, Tips for Teachers: Asset-based Pedagogies in the Classroom
The Sapir-Whorf Hypothesis, Tips for Teachers: Culture and Language in the Classroom, An Introduction to Intercultural Communicative Competence, Tips for Teachers: ICC in the Classroom, What Is a Speech Community?, Tips for Teachers: Academic Speech Community in the Classroom
Tips for Teachers: Culture Across the Curriculum - Mathematics & Science, Tips for Teachers: Culture Across the Curriculum - Social Studies & Language Arts, Traditional Activities for Teaching Culture, Teacher Interview: Teaching Culture as Content, Tips for Teachers: Traditional Activities for Teaching Culture in the Classroom, Teacher Interview: Assessing Intercultural Communicative Competence and Cultural Knowledge
Course: Fundamentals of Music Theory
Modules:
Introduction to Week 1, Musical Notes, Octaves, More on Scales, Introduction to Chords, Primary Chords, Rudiments of Duration Notation
Introduction to Week 2, Sharps & Flats, Keys and Key Signatures, Minor Keys, Intervals, Ledger Lines and Clefs
Introduction to Week 3, Musical Time: How We Feel It, Musical Time: Some Concepts, Notating Rhythm, Counting with Subdivisions, Dots and Ties, Metre and Time Signatures, Phrase and Form
Introduction to Week 4, Listening to triads, Elaborating Key: Triads and Scales, Building Triads, Harmonising a Melody, Seventh Chords
Introduction to Week 5, Chord Inversions, Cadences, Chord Names, Common Chord Progressions, Modulation
Harmonic Analysis - Bach Prelude in C Major, Glossary, Final Exam: Instructions, Post-Course Survey
Course: Working with Objects in C++
Modules:
Introduction to the fourth course in the specialisation, Introduction to separating orders by type, product and time, Set up the OrderBook class, Basic OrderBook class implementation, Implement the constructor and integrate to MerkelMain, Implement getKnownProducts with a map, Implement getOrders, Implement get low and high stats, Summing up our work on the order book, Working with time, Setting up earliest time, Moving through time, Printing stats for current time window, Iterating over vectors and memory
How will we retrieve data from the user for an OrderBookEntry?, Read a line from the user, part 1, Read a line from the user, part 2, Making it robust, Introduction to inserting the order into the order book, The code to insert the order into the order book, Pseudocode, Converting the pseudocode into C++, Preparing for testing, Doing testing, Course summary
Course: Educación sobre cambio climático: agua y suelos
Modules:
0.1.1 Información importante del curso, 0.1.2 Conoce a tus instructores
1.1.1 Ciclo del agua, 1.1.5 Efectos del cambio climático, 1.2.6 Adaptación de los seres vivos, 1.2.7 Adaptación al cambio climático
2.1.2 El ciclo del suelo, 2.2.1 Formas de cultivo, 2.3.1 Alimentación y cultura, 2.3.6 Seguridad y soberanía alimentaria
Course: Modernizing Data Lakes and Data Warehouses with GCP en Français
Modules:
Présentation de la série de cours, Présentation du cours
Présentation du module, Le rôle des ingénieurs de données, Les défis liés à l'ingénierie des données, Présentation de BigQuery, Lacs de données et entrepôts de données, Comparaison entre les bases de données transactionnelles et les entrepôts de données, Collaborer efficacement avec d'autres équipes responsables des données, Gérer l'accès aux données et leur gouvernance, Démonstration : Rechercher des informations permettant d'identifier personnellement les utilisateurs dans votre ensemble de données à l'aide de l'API DLP, Créer des pipelines prêts pour la production, Étude de cas Google Cloud, Récapitulatif, Présentation de l'atelier : Faire des analyses à l'aide de BigQuery, Coursera : Premiers pas avec Google Cloud Platform et Qwiklabs
Présentation du module, Présentation des lacs de données, Options de stockage de données et d'opérations ETL sur Google Cloud, Créer un lac de données à l'aide de Cloud Storage, Protéger des données Cloud Storage, Stocker tout type de données, Cloud SQL en tant que lac de données relationnelles, Présentation de l'atelier : Charger des données de taxis dans Google Cloud SQL
Présentation du module, L'entrepôt de données moderne, Présentation de BigQuery, Démonstration : Interroger un téraoctet de données en quelques secondes, Premiers pas avec BigQuery, Charger des données dans BigQuery, Présentation de l'atelier : Charger des données dans BigQuery, Explorer des schémas, Démonstration : Explorer des schémas, Conception de schémas, Champs imbriqués et répétés, Démonstration : Champs imbriqués et répétés, Concevoir un schéma optimal pour BigQuery, Présentation de l'atelier : Utiliser JSON et des données de tableau dans BigQuery, Optimiser le partitionnement et le clustering, Présentation de l'atelier : Tables partitionnées dans BigQuery, Récapitulatif
Résumé du cours
Course: Principles of Economics: Introduction - Getting to Know You
Modules:
Meet the Professor, Welcome to the Course, Discussion Forum Philosophy
What is Economics?, Microeconomics, Marginal Analysis: A Consumer’s Choice, Tradeoffs in National Production, International Trade, Macroeconomics, Problem Set Solution - Production Possibility Frontier, Problem Set Solution - Marginal Analysis, Problem Set Solution - Marginal Analysis Equation Form, Problem Set Solution - Comparative Advantage and Trade
Markets, Market Demand, Problem Set Solution - Market Demand, Market Supply, Market Equilibrium, Market Demand Solution, Problem Set Solution - Market Supply, Problem Set Solution - Market Supply and Demand Pt. 1, Problem Set Solution - Market Supply and Demand Pt. 2, Problem Set Solution - Market Supply and Demand Pt. 3, Problem Set Solution - Market Supply and Demand Pt. 4, Problem Set Solution - Market Supply & Demand Pt. 5
Elasticity, Calculating the PED, The PED and Revenue, Income/Cross-Price Elasticity of Demand, Price Elasticity of Supply, Problem Set Solution - Elasticity, Problem Set Solution - Elasticity and Revenue, Problem Set Solution - Income Elasticity, Problem Set Solution - Cross Price Elasticity
Markets and Government Policy, Price Floor, Taxes, Problem Set Solution - Price Ceiling, Problem Set Solution - Price Floor, Problem Set Solution - Tax on the Goods Market, Problem Set Solution - Tax on the Labor Market
The Welfare of Markets, Total Surplus, Taxes and Welfare, Trade and Welfare, Arguments for Trade, Problem Set Solution - Consumer Surplus and Prices, Problem Set Solution - Producer Surplus and Prices, Problem Set Solution - Dead Weight Loss of Taxation, Problem Set Solution - Dead Weight Loss of a Tariff
Externalities and Types of Goods, Public Policy, Positive Externalities: Subsidies, Characteristics of Goods, Public Goods, Problem Set Solution - Negative Externality, Problem Set Solution - Positive Externality, Problem Set Solution - Types of Goods, Thinking Like an Economist, Congratulations!
Course: Java Servlet Pages (JSPs)
Modules:
Instructor Introduction, An Overview of JSP, Lab Walkthrough, Scripting Elements, Lab Walkthrough, Directives, Includes, and Errors, Lab Walkthrough
JSP Tags, Lab Walkthrough, Forward and Include, Lab Walkthrough
Expression Language, Lab Walkthrough, Core Tags Part 1, Lab Walkthrough, Core Tags Part 2, Lab Walkthrough
Course: Project Management: Life cycle and project planning
Modules:
Project Life-Cycle, The Initiating phase, The central role of Planning, Introducing the style project, Scope definition and scope changes, Scope creep and Gold plating
The Work Breakdown Structure, The feed-forward approach, The role of milestones, The rolling wave approach, The OBS and RAM, Duration and cost of an activity, The Gantt Chart, The organizational feasibility, Planning costs
Course: Preparing for Your Associate Cloud Engineer Journey 日本語版
Modules:
モジュールの概要, Associate Cloud Engineer の役割の概要, 認定資格の価値とメリット, 認定のプロセス, 学習計画の作成
モジュールの概要, Cymbal Superstore のクラウド環境のセットアップ, 概要: 確認のための質問, 学習計画の作成
モジュールの概要, Cymbal Superstore のクラウド ソリューション向けリソースの選択, 概要: 確認のための質問, 学習計画の作成
モジュールの概要, Cymbal Superstore で推奨されるクラウド ソリューションの導入、実装, 概要: 確認のための質問, 学習計画の作成
モジュールの概要, Cymbal Superstore のクラウド ソリューションの管理, 概要: 確認のための質問, 学習計画の作成
モジュールの概要, Cymbal Superstore のクラウド ソリューションへのアクセス管理, 概要: 確認のための質問, 学習計画の作成
次のステップ
Course: Strategizing the Use of Generative AI in Learning Design
Modules:
Welcome to the Course
Strengths and Limitations of Generative AI for Learning, Policy Matters for Generative AI Integration, Articulating Generative AI Partnership to Stakeholders
Custom GPT for Learning Designers, Custom GPT for Learners
Tell Us Your Strategy, Series Wrap-Up
Course: Introduction to Philosophy
Modules:
Introduction: What is Philosophy?, Philosophy: Difficult, Important and Everywhere, Philosophy: How Do We Do It?, Is There A 'Right Way' To Think About Things?
The Status of Morality, Objectivism, Relativism and Emotivism, Objections to Objectivism, Relativism and Emotivism, Further Discussion
The Basic Constituents of Knowledge, The Classical Account of Knowledge and the Gettier Problem, Do We Have Any Knowledge?, Further Discussion 1, Further Discussion 2
Morality: Objective, Relative or Emotive?, What is Knowledge? And Do We Have Any?
Do You Have an Obligation to Obey the Law?, The Grounds of Political Obligation, Gratitude and Benefit, Consent, Fairness, What if the Problem Can't Be Solved?, Summary
Introduction: Hume on Testimony and Miracles, Reid's Challenge to Hume, Reid's Argument, Kant, the Enlightenment and Intellectual Autonomy, The Value of Intellectual Autonomy
Do We Have an Obligation to Obey the Law?, Should You Believe What You Hear?
Descartes' Substance Dualism Theory of the Mind, Physicalism: Identity Theory and Functionalism, Functionalism and What Mental States Do, Functionalism and Functional Complexity, Minds vs. Machines: The Turing Test and the Chinese Room, Minds vs. Machines: Problems for the Computational View of the Mind, Further Discussion
The Aim of Science: Saving the Phenomena vs. Truth, Saving the Phenomena?  Ptolemeic Astronomy, Truth?  Galileo and Copernican Astronomy, Scientific Realism and the No Miracles Argument, Scientific Anti-Realism: Constructive Empiricism, Realist Rejoinders: Inference to the Best Explanation, Concluding Summary
Minds, Brains and Computers, Are Scientific Theories True?
What is Determinism?, Libertarianism, Compatibilism, Hard Determinism, Summary
What Might Time Travel Be Anyway?, Grandfather Paradoxes, Two Senses of Change, Causal Loops, Where Next?, Further Discussions
Do We Have Free Will and Does It Matter?, Time Travel and Philosophy
Post-Course Survey
Course: Business Strategy: Value Proposition Essentials
Modules:
Introduction to the Course & Meet the Instructor, Exploring Value Propositions, Strategic Planning and Competitive Advantages, Evaluating Value Propositions, Steps for Defining a Compelling Value Proposition, Practice Project 1, Techniques for Effectively Communicating Value Propositions to Different Stakeholders, Case Studies on Successful Communication of Value Propositions, Analysis of Real-World Examples of Effective Strategic Business Planning, Practical Exercises and Hands-on Approaches to Creating Strategic Value Propositions, Practice Project 2, Main Takeaways and Conclusion, Congratulations and Continuous Learning Journey
Course: Google Cloud Big Data and Machine Learning Fundamentals en Español
Modules:
Conoce al autor, Introducción al curso
Introducción, Infraestructura de Google Cloud, Procesamiento, Almacenamiento, Historia de los productos de macrodatos y AA, Categorías de productos de macrodatos y AA, Ejemplo de un cliente: Gojek, Cómo comenzar a usar Google Cloud Platform y Qwiklabs, Introducción al lab: Explora un conjunto de datos públicos de BigQuery, Resumen
Introducción, Desafíos de los macrodatos, Arquitectura orientada a los mensajes, Cómo diseñar canalizaciones de transmisión con Apache Beam, Cómo implementar canalizaciones de transmisión en Cloud Dataflow, Visualización con Looker, Visualización con Looker Studio, Introducción al lab: Crea una canalización de transmisión de datos para un panel en tiempo real con Dataflow, Resumen
Introducción, Almacenamiento y análisis, Demostración: Consulta TB de datos en segundos, Introducción a BigQuery ML, Usa BigQuery ML para predecir el valor del ciclo de vida del cliente, Fases de un proyecto de BigQuery ML, Comandos clave de BigQuery ML, Introducción al lab: Predice las compras de visitantes con BigQuery ML, Resumen
Introducción, Opciones para crear modelos de AA, API precompiladas, AutoML, Entrenamiento personalizado, Vertex AI, Soluciones de IA, Resumen
Introducción, Preparación de datos, Entrenamiento del modelo, Evaluación del modelo, Implementación y supervisión del modelo, Introducción al lab: Cómo predecir el riesgo de los préstamos con AutoML, Resumen del lab: Cómo predecir el riesgo de los préstamos con AutoML, Resumen
Resumen del curso
Course: Network Dynamics of Social Behavior
Modules:
1.0 Course Introduction and Objectives, 1.1 The Substantive Problem: Micromotives and Macrobehavior, 1.2 What are Agent-Based Models?, 1.3 Formal Model of Segregation, 1.4 Exploring Schelling's Segregation Model, 1.5 How to Download and Use NetLogo, 1.6 Using NetLogo: Schelling's Segregation Model
2.1 Network Science: Mapping a Connected World, 2.2 Introduction to Network Science, 2.3 Types of Networks: Lattice Graph, 2.4 Types of Networks: Random Graph, 2.5 Using NetLogo: Properties of the Small World Network, 2.6 Using NetLogo: Information Diffusion in Small World Networks, 2.7 Conclusions: Life in a Small World
3.1 Social Contagions: Beyond Information Diffusion, 3.2 From Simple to Complex Contagions, 3.3 How to Model Complex Contagions, 3.4 Threshold Models in Networks, 3.5 Using NetLogo: Complex Contagions in Small World Networks, 3.6 Conclusion: The Spread of Behavior in a Complex World
4.1 The Emperor's Dilemma: Explaining Unpopular Norms, 4.2 Components of a Norm: Compliance and Enforcement, 4.3 Modeling Compliance and Enforcement, 4.4 Using NetLogo: Explaining the Spread of Unpopular Norms, 4.5 Falsification and Sufficiency in the Emperor's Dilemma, 4.6 Self-Reinforcing Norms: A Cautionary Conclusion
5.1 A Startup Problem: The Emergence of Norms, 5.2 Conventions and the Challenge of Coordination, 5.3 Modelling Pairwise Coordination in Networks, 5.4 Using NetLogo: Coordination in Networks, 5.5 How do norms emerge? Global Agreement from Peer-to-Peer Interation
6.1 Exploration and Exploitation: Networks of Innovation, 6.2 Modeling Complex Problems, 6.3 Modeling Problem-Solving in Teams, 6.4 Thinking about Models: Problem-Solving in the Real World, 6.5 Using NetLogo: Complex Problem Solving in Networks, 6.6 Conclusions: The Two Pizza Rule, 6.7 Course Conclusions: The Network Dynamics of Social Behavior
Course: Grabación y edición de audio
Modules:
Bienvenido a tu curso, Grabación de audio P1, Grabación de audio P2
Técnicas de edición de audio P1, Técnicas de edición de audio P2-1, Técnicas de edición de audio P2-2
Comping P1-1, Comping P1-2, Comping P2
Slicing P1-1, Slicing P1-2, Slicing P2, Video de cierre
Course: L’IA pour tous
Modules:
Introduction de la semaine 1, Apprentissage automatique, Que sont les données ?, La terminologie de l’IA, De quoi est composée une société d’IA ?, Les capacités et les limites de l’apprentissage automatique, Plus d’exemples sur les capacités et les limites de l’apprentissage automatique, Explication non technique de l’apprentissage en profondeur (partie 1, facultative), Explication non technique de l’apprentissage en profondeur (partie 2, facultative)
Introduction de la semaine 2, Flux de travail d’un projet d’apprentissage automatique, Flux de travail d’un projet de science des données, Chaque fonction professionnelle doit apprendre à utiliser les données, Comment choisir un projet d’IA (partie 1), Comment choisir un projet d’IA (partie 2), Travailler avec une équipe IA, Outils techniques pour les équipes d’IA (facultatif)
Introduction de la semaine 3, Étude de cas : Haut-parleur intelligent, Étude de cas : Voiture autonome, Exemples de rôles d’une équipe IA, Manuel de transformation de l’IA (partie 1), Manuel de transformation de l’IA (partie 2), Pièges de l’IA à éviter, Faire ses premiers pas avec l’IA, Enquête sur les principaux domaines d’application de l’IA (facultatif), Enquête sur les principales techniques d’IA (facultatif)
Introduction de la semaine 4, Une vision réaliste de l’IA, Discrimination/biais, Attaques contradictoires contre l’IA, Usagenéfaste de l’IA, L’IA et les économies en développement, L’IA et les emplois, Conclusion
Course: Palliative Care Capstone Projects
Modules:
Introduction to Capstone Projects, Nature of Suffering Evaluation Form, Ollie Green Dialogue 1, Ollie Green Dialogue 2, Ollie Green Dialogue 3
Introduction to SNAP, Tips for SNAP, Why Do I Need to be Self-Aware?, Importance of Self-Awareness, Reflecting on Your Values and Beliefs, Reflecting on Health, Reflecting on Illness, Reflecting on Dying, I'm Not Judgmental!
Barriers to Pain Control, Pain Assessment Basics, Other Things to Know About Pain, Many Dimensions of Pain
Routine Symptom Assessment, Challenges in Symptom Screening and Assessment
Everything You Want To Know About ACP, Medical Durable Power Of Attorney (MDPOA)
Course: A Crash Course in Causality:  Inferring Causal Effects from Observational Data
Modules:
Welcome to "A Crash Course in Causality", Confusion over causality, Potential outcomes and counterfactuals, Hypothetical interventions, Causal effects, Causal assumptions, Stratification, Incident user and active comparator designs
Confounding, Causal graphs, Relationship between DAGs and probability distributions, Paths and associations, Conditional independence (d-separation), Confounding revisited, Backdoor path criterion, Disjunctive cause criterion
Observational studies, Overview of matching, Matching directly on confounders, Greedy (nearest-neighbor) matching, Optimal matching, Assessing balance, Analyzing data after matching, Sensitivity analysis, Data example in R, Propensity scores, Propensity score matching, Propensity score matching in R
Intuition for Inverse Probability of Treatment Weighting (IPTW), More intuition for IPTW estimation, Marginal structural models, IPTW estimation, Assessing balance, Distribution of weights, Remedies for large weights, Doubly robust estimators, Data example in R
Introduction to instrumental variables, Randomized trials with noncompliance, Compliance classes, Assumptions, Causal effect identification and estimation, IVs in observational studies, Two stage least squares, Weak instruments, IV analysis in R
Course: Google Workspace Security 日本語版
Modules:
概要とスタートガイド, 一般的なセキュリティ設定の概要, 例外グループの使用, SSO の概要, セキュア LDAP, アプリケーションのセキュリティの概要, セキュリティ ツールの概要, セキュリティ センター, 内容のまとめ
Course: Cognición, Pensamiento y Lenguaje
Modules:
Bienvenida, Psicología de los procesos básicos, Video: Psicología cognitiva y procesamiento de la información, Psicología cognitiva. Abordajes
Sistemas de memoria, Pensamiento, Pensamiento. Heurísticos, sesgos y errores (parte I), Pensamiento. Heurísticos, sesgos y errores (parte II)
El lenguaje como un sistema formal, Psicolingüística cognitiva, Procesamiento en comprensión del lenguaje (parte I), Procesamiento en comprensión del lenguaje (parte II)
Course: Systems Thinking Basics
Modules:
Introduction to the Course & Meet Your Instructor, Defining Systems and Systems Thinking, Why System Thinking, Components of a System, Intro to Tools - From Thinking to Practical, System Mapping, Causal Loop Diagrams and Feedback Loops, Stock and Flow Diagrams, System Traps, Systems in the Human Context, Understanding Leverage Points, Beware of System Traps, Implementing Systems Thinking, Congratulations and Continuous Learning Journey
Course: Algebra: Elementary to Advanced - Functions & Applications
Modules:
Linear Functions, Quadratic Functions
Common Functions, Less Common Functions, Function Composition
Final Exam: Functions and Applications
Course: Advanced Topics and Future Trends in Database Technologies
Modules:
Module 1 - Welcome and Introduction, Transaction Logs: Part 1, Transaction Logs: Part 2, Database Backup and Recovery, Database Concurrency, Careers in Database Technologies
A Different Perspective of Organizing Data, What Is A Data Warehouse, Comparison between OLTP and OLAP, What Is A Data Cube?, How to Create A Data Cube
What is Big Data and the Applications, 3 Vs Definition, More Vs and Challenges, Big Data Architecture and It's Layers
The Relational Problem: Part 1, The Relational Problem: Part 2, NoSQL Systems: Part 1, NoSQL Systems: Part 2, MongoDB Overview and Demo, Cassandra Overview and Demo
Course: DevOps on AWS: Code, Build, and Test
Modules:
Welcome to DevOps on AWS: Code, Build, and Test, Thinking in DevOps, Meet the Application, The Code, Exercise 1 Introduction, The Build, Branching Strategies, Doing the Exercises on Your Laptop
The Test, Exercise 2 Introduction, Automate Testing, Exercise 3 Introduction, Continuous Integration, Exercise 4 Introduction, Automate the SAM Deploy, Course Wrap-up
Course: Responsible AI: Applying AI Principles with GC - Italiano
Modules:
Introduzione al corso, Google e IA responsabile, Un'introduzione ai principi dell'IA di Google
Report dell'Economist Intelligence Unit, Il business case per l'innovazione responsabile
Considerazioni tecniche e preoccupazioni etiche sull'IA, Preoccupazioni sull'intelligenza artificiale
Come sono stati sviluppati i principi dell'IA di Google, Individuazione dei problemi etici, Gli obiettivi etici dei principi dell'IA di Google
Governance dell'IA di Google, Processo di revisione di Google Cloud, Case study sul riconoscimento delle celebrità
Processo di individuazione dei problemi, Cosa abbiamo imparato dall'operativizzazione dei principi dell'IA: sfide, Cosa abbiamo imparato dall'operativizzazione dei principi dell'IA: best practice
Proseguimento del viaggio verso un'IA responsabile
Course: The Softer Side of Science Communication
Modules:
Course Introduction, Humans As Emotional Beings, Emotion and Science Communication, Managing Anxiety about Science
Vulnerability, authenticity and Trust in Science Communication, Empathy and Science Communication, Improvisation and Science Communication, Why Use Storytelling?, Nonverbal Science Communication
Conflict in Science Communication, Where Does Adversity in Science Communication Come From?, Strategies for Managing an Adversarial Audience
Trauma Informed Science Communication, Designing for Inclusion, Ethical Considerations in Science Communication, Wrap Up
Course: Data Modeling in Power BI
Modules:
Course introduction, Introduction to data models, Introduction to schemas, Setting up a Flat schema in Power BI, Understanding fact and dimension tables, Introduction to cardinality, Introduction to cross-filter direction, Defining data granularity, Setting up a Star schema in Power BI, Setting up a Snowflake schema, Why it is important to use Snowflake schema, Resolving challenges in data models, Module summary: Concepts for data modeling
Introduction to Data Analysis Expressions (DAX), Formulas and functions in DAX, Row context and filter context, Introduction to calculated tables, Creating calculated columns, Introduction to measures, Types of measures, Basic statistical functions, DAX measures and context in business, Creating quick measures, Creating custom measures with DAX, Introduction to the CROSSFILTER function, Using CALCULATE with filters, Introduction to role-playing dimensions, Introduction to the USERELATIONSHIP function, Configuring role-playing dimensions, The importance of time intelligence, Using DAX for summarization over time, Using DAX for comparison over time, Setting up a common date table using DAX, Setting up a common date table with M and Power Query, Time intelligence in business, Module summary: Using DAX in Power BI
What is optimization and why is it necessary?, Optimization by example, Identifying and reducing cardinality levels, Resolving performance issues in the data model, Behavior and limitations of DirectQuery connections, Optimizing DirectQuery performance with query reductions, Optimizing DirectQuery performance with table storage, What are aggregations and why use them?, Creating an aggregation, Module summary: Optimize a model for performance in Power BI
Course recap: Modeling data in Power BI, Congratulations!
Course: Moving the Needle at Work: Diversity, Equity and Inclusion
Modules:
Syllabus, About the Discussion Forums, Glossary, Updating Your Profile, Social Media
Why should you take this course?, Emotional Intelligence in the Workplace, Modeling Inclusive Behavior
Natural Hair Part 1 of 4, Natural Hair Part 2 of 4, Natural Hair Part 3 of 4, Natural Hair Part 4 of 4, Religion, Pregnancy, Ageism
Understanding Code Switching, Understanding Neuroatypical Employees, Testimonial of Low-vision Accommodation
Psychological Safety, Identity, Allyship, Transgender Allyship
Conclusion
Course: Construction Project Management
Modules:
Introduction To The Course Part 1, Introduction To The Course Part 2
Introduction to the Engineering and Construction Industry, Construction Projects and Industry Characteristics, Challenges and Opportunities in the Construction Industry, Program Project and Construction Management Introduction, Construction Management and Project Management, Program Management and Summary, Construction vs Manufacturing Industry Basics, Compare and Contrast the Construction and Manufacturing Industries, The Future of the Construction Industry, Introduction to the EAC Life Cycle, The Cost of Change in the EAC Lifecycle, Key EAC Lifecycle Questions
Project Development Cycle Part 1, Project Development Cycle Part 2, Contract Types, Project Delivery Methods, Contracting Strategy Assessment, CM at Risk and CM as Agency, Alliance Contracting and Public Private Partnerships, Types of Surety Bonds, Purchasing a Surety Bond, Terminating a Surety Bond, Surety Loss Data
Project Delivery and the Theory of Lean, Lean Design and Delivery, Lean Design: Flow
Sustainability in Construction Industry, Safety in Construction Industry, Community Involvement in a Construction Project, Rating Systems for Construction Projects, The Envision Rating System
Environmental, Health and Safety Practices, Barriers to Learning and Change, Safety Performance Models, Safety, Health and Environment Management Systems, Making EHS Work for You
Technology Trends: Defining BIM, The Role of CM and Design Management, Technology and The Role of CM, Technology and The Role of Facility Management, Virtual Reality in Construction Management
International Development and Project Risk, Cost Risks: Construction Projects, Cost Risks: Operations, ESPRIT: A Framework for Understanding Risk
Being an Effective Project Manager, The Project Organizational Chart, Methods of Contracting, Potential Project Risks, Logistics and Planning, Bidding and Leveling Sheets, Change Order and Claim Management
Project Planning and Scheduling, The Project Planning Process, Work Breakdown Structure, Standard and Project Coding Part 1, Project Coding Part 2, Estimating Activity Duration Part 1, Estimating Activity Duration Part 2, Determining Job Logic, Activity Relationships
Course: Les Fondamentaux de la Négociation
Modules:
Présentation du MOOC, Pourquoi suivre ce MOOC en négociation ?, Les trois dimensions de toute négociation, Les trois tensions stratégiques, Communication : l'écoute active, Communication : la parole active, Attention aux écueils instinctifs
La préparation avant l’action, Dimension des Personnes : 3 points pour se préparer, Dimension des Problèmes : les motivations, Dimension des Problèmes : les solutions à la table de négociation et leurs justifications, Résolution des problèmes : les solutions hors table, Dimension du Processus : 3 points pour se préparer
Qu’est-ce qu’un bon accord ?, Pourquoi une négociation échoue-t-elle ?, Négocier pour le compte d’autrui : le respect du mandat, Création de valeur, Les tactiques distributives courantes – 1ère partie, Les tactiques distributives courantes – 2nde partie
Fabiessi & Cam's Design - Instructions confidentielles pour Camille DROUEL, Fabiessi & Cam's Design - Instructions confidentielles pour le DRH
Comment créer la bonne séquence de négociation ?, Gérer les priorités pour une négociation efficace -1ère partie, Gérer les priorités pour une négociation efficace - 2ème partie, Gérer les priorités pour une négociation efficace - 3ème partie, Gérer les priorités pour une négociation efficace - 4ème partie, Conclusion : le rapport de force
Course: GST - Audit, assessment and litigation
Modules:
Welcome to GST Taxation Executive Professional Certificate, Introduction to the course: GST - Audit, assessment and litigation, Introduction to the module, Framework of assessment under GST, Assessment by taxpayer – Self-assessment, Assessment by tax authorities: Provisional assessment, Scrutiny of returns, Assessment by tax authorities: Best judgment assessment, Assessment by tax authorities: Summary assessment, SOP for scrutiny of GST returns, GST audit, GST Audit – Manual 2019, Key takeaways
Demands under GST, Demands under GST – Key highlights and issues, Appeals under GST, Appeals under GST – Highlights, Appeals under GST – Differences vis-à-vis earlier regime, Penalties under GST, Detention, seizure and confiscation of goods, Key takeaways
Anti-profiteering​
Course: Snowflake - SnowPro Core Certification Preparation
Modules:
Introduction to the Course, Meet Your Instructor, What you will learn in this lesson, What is Snowflake? - Overview and Architecture, Key Features and Capabilities of Snowflake, Snowflake Editions and Cloud Platforms, Snowflake User Interface Overview, What you will learn in this lesson, Data Loading Methods in Snowflake, Using Snowflake's Data Unloading Features, Best Practices for Data Loading and Unloading, Data Transformation in Snowflake, What you will learn in this lesson, Basics of Data Modeling in Snowflake, Understanding Snowflake Storage and Clustering, Implementing Schemas and Databases, Data Warehousing Concepts in Snowflake
What you will learn in this lesson, Managing Snowflake Accounts, User Roles and Security Management, Resource Monitors and Warehouse Sizing, Managing Storage and Compute Costs, What you will learn in this lesson, Query Performance Analysis, Caching and Materialized Views, Performance Tuning Techniques, What you will learn in this lesson, Snowflake Security Features Overview, Implementing Data Encryption and Masking, Compliance and Governance in Snowflake, Auditing and Monitoring in Snowflake
What you will learn in this lesson, Advanced SQL Functions in Snowflake, Time Travel and Zero-Copy Cloning, Working with Semi-structured Data (JSON, XML), What you will learn in this lesson, Connecting BI Tools with Snowflake, Snowflake and Data Integration Tools, Building Data Pipelines in Snowflake, API Integration and Custom Applications, What you will learn in this lesson, Best Practices for Scaling and Optimization, Common Challenges and Solutions in Snowflake, Case Study: Real-world Snowflake Implementation, What you will learn in this lesson, Understanding the SnowPro Core Exam Format, Key Topics and Areas of Focus, Study Strategies and Resources, Exam Registration and Preparation Tips
Course: Python Scripting Fundamentals
Modules:
Introduction to the ATA Track, Overview of ATA Track, Advice for Completing the ATA, Programming Course Syllabus, Programs and Languages, The Programming Process, Python, Functions, Variables, Data Types, Arithmetic Operators, Exploring Programming Concepts Review
Conditional Statements, Logical Operators, Identity Operators, Loops, Sequences, Lists, List Processing, Tuples, Sets, Ranges, Dictionaries, Troubleshooting Errors, Developing a Simple Application  Review
Loop Control, Nested Sequences, Useful Functions and Methods, Defining and Calling Functions, Returning Values, Scope, Structuring Code for Reuse Review
Importing Modules, File Objects, Reading Files, Accessing Directories, File and Folder Operations, Working with Modules, Files, and Directories Review
Description of Game, Creating the Code to Start Game, Creating the Code to Make and Sell Lemonade, Finishing the Lemonade Stand Game, Description of Game, Creating the Code to Start Game, Creating the Look Code, Creating the Take and Drop Code, Creating the Use and Unlock Code
Database Construction, Querying Databases, Updating Records, Handling Form Data, Creating Records, Putting it All Together, Using Databases and Interacting with Web Sites Review
Capstone Introduction, Capstone Instructions
Course: 中医药与中华传统文化
Modules:
中医药与中华传统文化, 什么是中华传统文化？, 什么是中医药？, 为何要谈中医药与中华传统文化？, 本课程主要内容和目标
针灸如何红遍全球, 中医药还有用武之地吗, 攻击中医药学的风波, 换个角度看中医, 上古时期的传说, 医药理论的奠基, 中医药的发展和集成
阴阳思想溯源, 阴阳思想核心内容, 中医药学的阴阳思想, 现代科学的阴阳思想
五行的概念和演化, 五行学说基本内容, 中医的五行思想, 五行学说现代思考
中医脏腑概念, 如何认识脏腑理论, 经络概念和功能, 经络实质探究, 中药性味理论, 中药归经、升降理论, 药物毒性理论
易文化起源, 易文化核心思想, 易文化对中医药影响, 儒学思想回顾, 中医道德规范的“仁爱”基础, 中医“致中和”思想 ", 儒学思想的生命关怀
道家与道教, 道文化核心思想, 中医药中道文化, 用药风潮的道文化渊源, 佛教的传入, 佛文化思想特色, 佛文化对医药学影响, 佛教徒对医药学的传播
期末考试
Course: Cómo entrenar a tus electrones 3: Aplicaciones interesantes
Modules:
5.01 El transistor bipolar: otra válvula de corriente, 5.02 BJT vs. MOSFET, 5.03 Estructura del BJT, 5.04 El BJT en región activa, 5.05 El BJT en corte y saturación, 5.06 Peculiaridades del BJT, 5.07 El BJT como amplificador - primera aproximación, 5.08 El BJT en pequeña señal, 5.09 El BJT conectado como diodo, 5.10 Análisis de un amplificador en pequeña señal
5.11 Polarización por voltaje, 5.12 Polarización por corriente, 5.13 Espejos de corriente, 5.14 Amplificadores con BJT, 5.15 Amplificador de CE, 5.16 Amplificador de CB, 5.17 Amplificador de CC, 5.18 Cargas circuitales no lineales, 5.19 Configuración cascodo, 5.20 Cascodos plegados, cascodos telescópicos y espejos de corriente cascodeados, 5.21 Seguidor de fuente mejorado, 5.22 BJTs compuestos, 5.23 BJTs reales
6.01 Osciladores sintonizados: Condición de Barkhausen, 6.02 Osciladores sintonizados: Control de amplitud y desplazamiento de fase, 6.03 Osciladores sintonizados: algunas arquitecturas, 6.04 Cristales Piezoeléctricos, 6.0555 Temporizador 555, 6.06 Oscilador de anillo
Course: Marketing Science e Estratégia de Marketing
Modules:
Marketing 101, Marketing e Data Science para a Tomada de Decisão, Estratégia de Marketing e Ciência em Marketing, Construção de Marca, O Consumidor e a Gestão de Marketing, Aspectos Psicológicos do Consumidor
Estratégia de Marketing, Orientação para o Mercado, Tornando-se Orientada para o Mercado, Market-Driven ou Driving Markets, Customer Relationship Management (CRM), Customer Lifetime Value (CLV)
STP: Segmentação, Modelo STP: Tipos de Segmentação, Modelo STP: Targeting (Alvo), Modelo STP: Posicionamento, Modelo STP: Posicionamento e Mapas Perceptuais, Modelo STP: Declaração de Posicionamento
Processo Decisório do Consumidor, Reconhecimento de Necessidades, Busca de Informações e Avaliação de Alternativas, Compra e Consumo, Avaliação Pós-Compra e Descarte, Outros Processos de Decisão
Course: IELTS Reading Section Skills Mastery
Modules:
Meet Your Teacher, Reading Overview (Part 1), Reading Overview (Part 2)
Question Types (Part 1), Question Types (Part 2), More Question Types (Part 1), More Question Types (Part 2)
Reading Strategies & Tips (Part 1), Reading Strategies & Tips (Part 2), Reading Strategies & Tips (Part 3)