dipopotamus/custom_instruct_coursera_course_module_list huggingface dataset:
Course: FPGA computing systems: Partial Dynamic Reconfiguration
Modules:
Course introduction, A Common Vocabulary, The 5 W's, Reconfigurable Computing as an Exstension of HW/SW Codesing, A Classification of SoC Reconfigurations, A Classification of SoMC Reconfigurations
Scenarios where Partial Reconfiguration can be effective, How to use FPGA Reconfiguration to face area issues, How to deal with the Reconfiguration runtime overhead, Recurring modules to reuse them to reduce the Reconfiguration time, Partial Reconfiguration to reduce the Reconfiguration runtime overhead, Runtime management to explore alternative implementations, Bitstreams relocation, Bitstreams relocation and virtual homogeneity
Xilnx Design Flows through years, Partial Reconfiguration Design Flows, Xilinx Difference Based Partial Reconfiguration, Xilinx Module Based Partial Reconfiguration, Xilinx Partial Reconfiguration (PR) Flow, Module Based vs Partial Reconfiguration Design Flows, Rationale behind DRESD and the work done by the Politecnico di Milano, From DRESD to CHANGE and ASAP, two new research initiatives from the Politecnico di Milano, CAOS: from embedded to heterogeneous distributed FPGA-based computing systems
Towards distributed FPGA-based systems
Course: Nursing Informatics Leadership Theory and Practice
Modules:
Welcome Video, Evaluate effective leadership styles for leadership in nursing informatics in clinical or academic contexts to improve your leadership success
Discover core values that support effective nursing informatics leadership
Discover competing values and polarities related to knowledge leadership and management to promote successful leadership collaboration
Determine your personal informatics leadership style based on results from the Minnesota Nursing Informatics Leadership Inventory (MNLI) to inform successful leadership development and practice
Discuss the value and importance of foresight leadership in nursing informatics to anticipate trends and consequences that are likely to transform the learning health care system
Course: Why Smart Executives Fail: Common Mistakes & Warning Signs
Modules:
Why Smart Executives Fail, Wang Labs, Lessons from Wang Labs - Competition and Customers, Lessons from Wang Labs - Intellectual Honesty, Lessons from Wang Labs - A Little History Lesson, A Deep Dive on Strategy - From Vision to Value Chains, A Deep Dive on Strategy - Going a Little Deeper, Why Core Competence Strategies Make Sense, Quick Note on Frameworks, Primer on Major Strategic Mistakes, Debrief - Lessons and Insights from the Motorola Case Study
The Firm, Delusions of a Dream Company, The Perfect Storm, Feedback, Debrief - Lessons and Insights from the Johnson & Johnson Case Study, Practice Exercises
The Manager as Master Puzzle Solver, Debrief: Lessons and Insights from the Snow Brands Case Study, Accountability, The Unintended Consequences of Incentives, Breaking the Rules?, Good Management Requires Good Oversight, Knowledge-Sharing Across Boundaries
The Seven Habits of Spectacularly Unsuccessful People, Habit 1 - The Illusion of Personal Preeminence (Travis Kalanick, Uber), Habit 2 - The Company is Mine (Adam Neumann, WeWork), Habit 3 - All the Answers (An Wang, Wang Labs), Habit 4 - My Way or the Highway (Dick Fuld, Lehman Brothers), Habit 5 - Obsessed with Image (Citizen Kane - William Randolph Hearst), Habit 6 - Disregarding Major Obstacles (Iridium), Habit 7 - Inability to Learn, Why Smart Executives Fail - Now You Know What You Should Do to Avoid These Mistakes
Course: Cómo inspirar y a motivar personas
Modules:
01.01 - Bienvenida, 01.02 - Reacciones a la visión de Apple de Steve Jobs, 01.03 - El modelo empresarial de liderazgo visionario, 01.04 - Cómo una visión clara genera energía, 01.05 - Por qué hacemos lo que hacemos, 01.06 - Por qué es esencial empezar con el PORQUÉ, 01.07 - Qué es el éxito, 01.08 - Cómo actuar para garantizar el éxito, 01.09 - ¿Jobs responde las tres preguntas?, 01.10 - Parte 1: Lenguaje visionario, 01.11 - Parte 2: Lenguaje visionario: reflexión sobre La sociedad de los poetas muertos, 01.12 - Parte 3: Lenguaje visionario: Discurso de MLK, 01.13 - Desarrollar una visión para su equipo, 01.14 - Lenguaje verbal y no verbal, 01.15 - Parte 2: Lenguaje verbal y no verbal, 01.16 - Cómo diseñar su oficina para reforzar su visión, 01.17 - Aprender a ser carismático, 01.18 - Resumen: Cómo convertirse en un líder visionario
02.01 - Metas y desempeño, 02.02 - Los riesgos de las metas ambiciosas, 02.03 - Metas SMART, 02.04 - Limitaciones de las metas SMART, 02.05 - Cómo crear metas significativas, 02.06 - Cómo fijar metas SMART significativas, 02.07 - Autonomía y diversidad de habilidades, 02.08 - Resumen: Fijar metas eficaces
03.01 - Evaluación: Factores de desempeño, 03.02 - Factores de desempeño y motivación, 03.03 - El modelo empresarial de gestión de empleados, 03.04 - Comprender las necesidades humanas para motivar a personas, 03.05 - Comprender las necesidades de las personas para potenciar la motivación, 03.06 - Factores de satisfacción y disconformidad, 03.07 - Cómo identificar si alguien está satisfecho o disconforme en el trabajo, 03.08 - Motivaciones intrínsecas y extrínsecas, 03.09 - Cómo crear significado en el trabajo, 03.10 - Ejercicio: Asignación retrospectiva de valores y necesidades por conducta observada, 03.11 - Cuatro trampas principales de motivación, 03.12 - Resumen: Factores de desempeño
04.01 - Equidad, 04.02 - El despropósito de recompensar A cuando esperamos B, 04.03 - Tipos de refuerzos, 04.04 - Gestionar mediante el miedo, 04.05 - Cronogramas de refuerzo, 04.06 - Funciones de una evaluación de desempeño, 04.07 - Desafíos de una evaluación de desempeño, 04.08 - Brindar comentarios de desempeño críticos, 04.09 - Dar comentarios de desempeño críticos, 04.10 - Solicitar comentarios de desempeño, 04.11 - Solicitar comentarios y evaluaciones de desempeño, 04.12 - Resumen: Alinear incentivos con conductas
Course: Salud mental y atención psicosocial
Modules:
Saludo de bienvenida Ministerio de Salud y Protección Social, Introducción al curso, Introducción unidades 1 y 2, Introducción de la Unidad 1, Conversaciones sobre salud mental, comunidad y bienestar, Conociendo los enfoques
Conociendo la epilepsia
Introducción de la unidad 2, Primeros auxilios psicológicos
Principios de los primeros auxilios, qué hacer, qué no hacer, Enfoque diferencial, Entrevista sobre enfoque diferencial y reducción de discriminación y estigma parte 1, Entrevista sobre enfoque diferencial y reducción de discriminación y estigma parte 2, Entrevista sobre enfoque diferencial y reducción de discriminación y estigma parte 3, Cierre unidades 1 y 2
Introducción a la profundización, Tamizaje, Rehabilitación integral e inclusión social
Fundamentos  y evidencias del Modelo de reducción de riesgos y daños, Cierre del curso
Course: Sports Marketing
Modules:
Welcome to the Course, Introduction to the Sports Marketing Course, What is Sports Marketing?, Sports Marketing Challenges, Marketing Basics Applied to Sports Marketing, The Traditional 4 P's: A Meaningful Update for Sports, Interview with Katrina Adams, Chairman, CEO and President, U.S. Tennis Association, Interview with Wally Hayward, CEO, W Partners, Interview with Mark Silverman, President of Big Ten Network, Module 1 Conclusion and Looking Ahead
Service vs. Product Marketing in Sports, Interview with Paulina Leperi, Former Manager of Delivery & Analytics, Nielson Catalina Solutions, Interview with Geoffrey Goldman, Senior Director of Communications, Fox Sports Midwest, Interview with Ken Babby, Owner, Akron RubberDucks & Jacksonville Jumbo Shrimp, Minor League Owner, USA Baseball, Event Marketing & Management
Why Sponsorship?, Sponsorship Rights, Activation: Bringing Sponsorship to Life, Interview with Mark Repchak, Senior Director of Marketing and Media, Florida Citrus Sports, Interview with Ryan Luckey, Assistant Vice President of Corporate Sponsorship, AT&T, Mark Finn, Clinical Professor of Accounting, Kellogg School of Management, The Value of Licensing, Dynamic Ticket Pricing: Matt Notowidigdo, Associate Professor of Economics, Northwestern University
Interview with Tim Mead, Vice President of Communications, Los Angeles Angels Baseball Club, Communication and Public Relations in Sports: Interview with J.A. Adande, Director of Sports Journalism, Medill School of Journalism, Media, Integrated Marketing Communications, Public Relations: Nancy Hobar, Senior Lecturer, Medill's Integrated Marketing Communications Graduate Program, Press Releases & Communication Planning: Nancy Hobar, Senior Lecturer, Medill's Integrated Marketing Communications Graduate Program, Press Release Peer Review Overview
Social Media, Crisis Communication: Nancy Hobar, Senior Lecturer, Medill's Integrated Marketing Communications Graduate Program, Crisis Communication and Social Media: J.A. Adande, Director of Sports Journalism, Medill School of Journalism, Media, Integrated Marketing Communications, Hud Englehart on Public Relations and Sports Communications, Hud Englehart on Crisis Communication, Storytelling and Content Creation: Marc Zarefsky, Communications Consultant
Why are Fans Loyal?, Loyalty Programs and Their Value, Loyalty Programs in Sports, Sports Agents, BONUS VIDEO: Global Sports Diplomacy: Craig LaMay, Associate Professor, Northwestern University Institute for Policy Research, Loyalty Program Peer Review Overview
Course: Storytelling and Persuading with Data and Digital Technology
Modules:
1.1.1 The Basics of Storytelling, 1.2.1 Compelling Storytelling with  the ABT Framework Video, 1.3.1 Selecting the Right Data Video, 1.4.1 Creating a Story from Data Video, 1.5.1 Thinking in Data Stories Video
2.1.1 The Rules of Good Presentations Video, 2.2.1 Brain-Friendly Presentation Design Video, 2.3.1 Creating Good Data Visualizations Video, 2.4.1 Beyond Bullet-Points Presentation Planning and Delivery Video, 2.5.1 Compelling Online Presentations Video
3.1.1 What Persuades People? Video, 3.2.1 Presence, Logic, and  Emotions in Persuasion Video, 3.3.1 The Perfect Pitch Tool for Persuasion Video, 3.4.1 Recovering from a Bad Proposal Video, 3.5.1 Helping the Decision Maker  Persuade Themselves Video
4.1.1 Why Organizations Need to  Train Their Customers Video, 4.2.1 Creating the Customer  Training Program Video, 4.3.1 Training Customers with  Data Analytics Products, 4.4.1 Engaging Customers with  Data Analysis Video, 4.5.1 Training Customers with Data Stories Video
Congratulations! Now How About a Quick Retro...?, Don't Forget to Claim You Some PDUs!, Continue Your Education with UMD!, Five Stars Please :), Class-Central Feedback Quiz
Course: Municipal Solid Waste Management in Developing Countries
Modules:
Trailer, 1.1 Overview of the course, 1.2 Why is this course important?, 1.3 Municipal waste generation and characterization, 1.4 Waste collection & transport, 1.5 Improving efficiency of waste collection and transport, 1.6 Recycling municipal waste, 1.7 Waste disposal / Landfills - part 1, 1.8 Waste disposal / Landfills - part 2, 1.9 Upgrading a Dump Site, 1.10 Key messages Week 1, 1.11a BONUS: Planning a Waste Generation and Characterization Study - part I, 1.11b BONUS: Conducting a Waste Generation and Characterization Study - part II
Language option for quizzes - please complete the quizzes only in one language
2.1 Policies and legislation, 2.2 The role of the public sector, 2.3 The role of the private sector, 2.4 Integrating the informal sector, 2.5 The Role of Community Members, 2.6 Public Awareness Campaigns - Case study India, 2.7 Financing Mechanisms - part 1, 2.8 Financing mechanisms - part 2, 2.9 Key messages Week 2, 2.10 BONUS: Triggering Community Participation with the RANAS approach, 2.11BONUS: Financial comparison of collection and transport systems
Week 2 - English, Semana 2 - Español, Semaine 2 - Français
3.1 Overview of Biowaste Treatment Technologies, 3.2 Science of composting, 3.3 Composting technologies, 3.4 Operating the Composting Process, 3.5 Case Study Composting - Dhaka, Bangladesh, 3.6 Case Study Composting - Temesi, Bali, Indonesia, 3.7 The Basics of Anaerobic Digestion of Biowaste, 3.8 Anaerobic Digestion Technologies and Operation, 3.9 Using the Products of Anaerobic Digestion, 3.10 Vermicomposting of Biowaste, 3.11 Biowaste Processing with Black Soldier Fly Larvae, 3.11b Spotlight Video - Black Soldier Fly Biowaste Processing, 3.12 Thermochemical Conversion of Biomass, 3.13 Key messages Week 3, 3.14 BONUS: Determining moisture content of biowaste mixtures, 3.15 BONUS: Determining C:N ratio of biowaste mixtures, 3.16 BONUS: Calculating the size of an anaerobic reactor, 3.17 BONUS: Constructing an Anaerobic Fixed Dome Digester, 3.18 BONUS: Operating a Black Soldier Fly waste treatment facility
Week 3 - English, Semana 3 - Español, Semaine 3 - Français
4.1 Overview of special waste fractions, 4.2 Mixed waste treatment, 4.3 Hazardous Waste Management, 4.4 Health Care Waste Management, 4.5 E-waste, 4.6a Plastic Waste Management - Theory, 4.6b Plastic Waste Management - Examples, 4.7 Construction and Demolition Waste, 4.8 Key Messages Week 4, 4.9 BONUS: Rapid assessment of waste-to-energy projects
Week 4 - English, Semana 4 - Español, Semaine 4 - Français
5.1 Integrating biowaste management through strategic planning, 5.2 Strategic Municipal Solid Waste Management Plan, 5.3 Comparing cities' performance, 5.4 Waste and climate change, 5.5 Solid Waste & Sustainable Development Goals, 5.6 Introduction to the Waste Flow Diagram, 5.7 Applying the Waste Flow Diagram, 5.8 Circular economy and solid waste management, 5.9 Selecting an Organic Waste Treatment Technology (SOWATT), 5.10 Key messages Week 5
Final exam - English, Examen final - Español, Examen final - Français
Course: Summary Statistics in Public Health
Modules:
Welcome, Introduction and Overview, Samples Versus Population, Considerations with Regard to Study Design, Data Types and Summarization, Additional Examples
Introduction, Useful Summary Statistics, Visual Displays, The Role of Sample Size on Sample Based Estimates, Comparing Distributions of Continuous Data, Additional Examples
Introduction, The Standard Normal Distribution Defined, Applying the Principles of the Normal Distribution to Sample Data to Estimate Characteristics of Population Data, What Happens When We Apply the Properties of the Normal Distribution to Data Not Approximately Normal: A Warning, Additional Examples
Introduction, Binary Data: Definition and Summarization (Binomial Distribution, P-Hat, SD), Comparing Distributions of Binary Data: Risk Difference and Relative Risk, Comparing Distributions of Binary Data: Odds Ratios, A Brief Note About Ratios (Will Also Be Revisited Later in the Course), Additional Examples
Introduction, Time to Event Data: Definition (Censoring) and Numerical Summary Measures (Incidence Rates), Numerically Comparing Groups on Time to Event Outcomes, Summarizing Time-to-Event Data, Graphically, Graphically Comparing Groups on Time to Event Outcomes, Additional Examples
Biostatistical Consulting Project, Course Project Quiz Solutions
Course: Deploy and configure Azure Monitor
Modules:
Course Syllabus
Course Introduction, Demonstration: Obtaining an Azure Free Trial and Set-Up
Introduction: Data Structures and Types, Create an Analytics Log Workspace, Demonstration: Introduction to KQL(Kusto Query Language) with Demonstration
Demonstration: Comprehension of Application Insights and Sampling of Insights for a Web Application
Demonstration: Deploy an Azure Virtual Machine, Demonstration: Design Performance Monitoring and Collection Rules for the Virtual Machine
Demonstration: Create a Virtual Network and Create and Diagnose Network Security Groups
Demonstration: Implementing Alerts and Triggers
Course: Generative AI for Students: Ethics & Academic Integrity
Modules:
Course Intro, Lesson 1 recap, Tool limitations based on ethics, Module 1 complete!
Welcome to module 2, Your responsibilities vs. the AI's, AI tools for research - Paper-finding tools, AI tools for research - Summarising tools, Module 2 complete!
Ownership, Plagiarism, and Academic Integrity, AI and AI: Academic Integrity and Artificial Intelligence, Journals, funding, and GenAI, Data and Rights to Confidentiality, Copyright and Intellectual Property
Course: Detect, Respond, and Recover from Cloud Cybersecurity Attacks
Modules:
Introduction to course 4, Seline: Make an impact in cloud security, Welcome to module 1, SecOps and its components, Vulnerability management techniques, Incident detection basics, Phases of incident response and management, Incident response plans, Intrusion detection systems, Signature and anomaly-based detection, Logs for analysis and monitoring, Log management: The skills needed for success, Alerts and notifications, Alert search techniques, Wrap-up
Welcome to module 2, Introduction to Lockheed Martin’s Cyber Kill Chain®, False positive analysis, Introduction to security monitoring, Tim: Analytical skills for detection and response, Tools for proactive security monitoring, Indicators of compromise (IOCS), Essentials of threat hunting, Aggregations and correlations, Introduction to query tools, Wrap-up
Welcome to module 3, The importance of evidence preservation, How security teams preserve evidence, Incident response in Google Cloud, Incident identification, Coordination for incident response, Documentation fundamentals, Elements of successful documentation, Actionable alert identification, Security orchestration with playbooks, Fatima: A day in the life of a detection and response team manager, Wrap-up
Welcome to module 4, Recovery plans in action, Information recovery and system restoration, Business continuity and disaster recovery (BCDR) basics, BCDR in Google Cloud, Recovery options and measures of success, Components of a disaster recovery plan (DRP), Business continuity and disaster recovery plans, Disaster recovery plan stakeholders, Wrap-up, Patrick and Pedro: Interview role play, Course wrap-up
Course: Design-Led Strategy: Design thinking for business strategy and entrepreneurship
Modules:
Introduction to the course, Introduction to design thinking, Introduction to corporate strategy, Introduction to design strategy: corporate strategy meets design thinking, The Ubank & Swiss Re stories, The design strategy framework Part 1, The design strategy framework Part 2
Understanding the problem - do you have a headache or a migraine?, Who is your customer? Developing customer personas, The UBank/ Swiss Re experience - market research, What is a problem definition statement?
What do we mean by prototype?, Defining your minimum viable product, High fidelity prototype vs low fidelity prototype, Testing your prototype on end-users and soliciting their feedback, Ideation, The UBank/ Swiss Re experience - prototyping
Design strategy in the corporate context, Building real products using design strategy principles, Iterating and ideating using customer feedback, Embedding design strategy within business strategy
Design strategy in practice: Conclusion, Course conclusion
Course: Sustainable Infrastructure on the Development Agenda
Modules:
1.2.1 What is sustainable infrastructure?, 1.2.2 The Paris Agreement, 1.2.5 A shared understanding of sustainable infrastructure, 1.3.1 Global challenges and sustainability during the project, 1.3.2 Sustainable infrastructure in economic recovery, 1.3.4 The role of the private sector in investments, 1.3.7 Sustainable infrastructure in the project cycle
2.1.1 Hands-on activity: Projects in line with the country’s development strategy, 2.1.3 Request Your Digital Badge!, 2.2.1 Main Lessons of the Course, 2.2.2 Readings and Other Optional Resources, 2.2.4 Keep Learning
Course: Industrial Relations: Fostering Workplace Climate
Modules:
Introduction and Welcome, What are Industrial Relations and Why do they matter?, Stakeholders in Industrial Relations, Workplace Regulations & Key Legal Frameworks, The Basic Employee Rights and Protections, The First 6: Common Workplace Disputes, The Next 6: Common Workplace Disputes, Resolving Workplace Related Conflict (Part 1), Resolving Workplace Related Conflict (Part 2), The Importance of Communication, Communication Styles, Active Listening and Conflict Resolution, Collaborating in the Modern Workplace, Employee Engagement and Satisfaction, Three Key Strategies to Improve Engagement and Satisfaction
Course: Diversidade e Inovação na Prática: Casos de Sucesso
Modules:
Caso Schneider: A Empresa, Caso Schneider:  Estratégia e Propósito, Caso Schneider: Estratégia de Pessoas, Caso Schneider: O Programa de Diversidade, Caso Schneider: O Programa de Inclusão de Mulheres, Caso Schneider: Desafios Oportunidades e Resultados, Caso Schneider: Depoimento Milena Rosa
Caso David: A Empresa, Caso David: A Agência David, Caso David: Liderança Criativa, Caso David: Coca-Cola não é Fanta, Caso David: Liberdade e Amor, Caso David: A Diversidade e o Consumidor
Caso Labora: Labora e o Mercado, Caso Labora: A Empresa, Caso Labora: Inclusão Geracional, Caso Labora: Liga Labora, Caso Labora: Estratégia de Diversidade, Caso Labora: Importância das Parcerias
Caso MSA: Aprendendo com Estudo de Caso, Caso MSA: A Empresa, Caso MSA: Estratégia e Propósito, Caso MSA: Programa de Diversidade, Caso MSA: Desafios da Implementação, Caso MSA: A Cultura dos Países e o Impacto na Implementação, Aula 6 | Caso MSA: Expectativas e Resultados
Course: Essential JavaScript Mini Projects
Modules:
JavaScript Essentials Quiz
Course: Ethical Issues in Computing Applications
Modules:
Course Overview, Kantianism and Virtue Ethics: Part 1, Kantianism and Virtue Ethics: Part 2, Utilitarianism and Social Contract Theory: Part 1, Utilitarianism and Social Contract Theory: Part 2
Overview and Medical Data: Part 1, Overview and Medical Data: Part 2, Ethical Issues Related to Gene Editing: Part 1, Ethical Issues Related to Gene Editing: Part 2, Ethical Issues Related to Neural Implants: Part 1, Ethical issues related to Neural Implants: Part 2
Ethical Issues Related to Uses of Robots in Healthcare: Part 1, Ethical Issues Related to Uses of Robots in Healthcare: Part 2, Ethical Issues Related to Uses of Robots in Warfare: Part 1, Ethical Issues Related to Uses of Robots in Warfare: Part 2, Ethical Issues Related to Uses of Robots in Policing: Part 1, Ethical Issues Related to Uses of Robots in Policing: Part 2
Autonomous Vehicles - Framing the Issues: Part 1, Autonomous Vehicles - Framing the Issues: Part 2, Autonomous Vehicles - Moving Forward: Part 1, Autonomous Vehicles - Moving Forward: Part 2
Future of Work - Motivation: Part 1, Future of Work - Motivation: Part 2, Future of Work - Prediction: Part 1, Future of Work - Prediction: Part 2, Future of Work - What Should Society Do?: Part 1, Future of Work - What Should Society Do?: Part 2, Specialization Wrap-up
Course: Hybrid Cloud Service Mesh with Anthos en Français
Modules:
Présentation du cours, Premiers pas avec Google Cloud et Qwiklabs
Télémétrie et observabilité dans le maillage de services, Backends de télémétrie des maillages de services et Stackdriver, Backends de télémétrie des maillages de services sur site, Présentation de l'atelier : Observer les services Anthos
Gestion du trafic avec Istio et Envoy, Présentation du modèle abstrait d'Istio pour la gestion du trafic, Modèle abstrait d'Istio pour la gestion du trafic : passerelle et VirtualService, Modèle abstrait d'Istio pour la gestion du trafic : DestinationRule, Utiliser un maillage de services pour les fonctionnalités suivantes : injection de pannes et délai avant expiration de la requête, Présentation de l'atelier : Gérer le flux de trafic avec Anthos Service Mesh
Présentation de la sécurité dans le maillage de services, Sécurité de service à service avec l'authentification TLS mutuelle dans le maillage de services, Mise en œuvre progressive de l'authentification mTLS dans le maillage de services, Présentation de l'atelier : Sécuriser le trafic avec Anthos Service Mesh
The path to certification
Course: Cloud Computing Law: Data Protection and Cybersecurity
Modules:
Introduction to data protection and cybersecurity, What is personal data?, Who are the main GDPR actors?, What are the data protection principles?, What is lawful processing?, What do we mean by 'joint' controllers?, What is the relationship between controllers and processors?, What are the security obligations?, What are individual rights?, What are the GDPR provisions on fines and compensation?
Introduction to International Data Transfers, The Establishment Test, Targeting and Monitoring, Third country transfer restriction, What is a transfer?, Transfer options, Adequacy decisions, Appropriate Safeguards, Derogations, Data Transfers Conclusion
Introduction to the regulation of critical infrastructure, What is critical infrastructure?, How does the NIS Directive define 'cloud'?, Must cloud providers notify security incidents?, Must cloud providers secure their service?, How is the NIS Directive enforced?, Who enforces the NIS Directive?
Course: User Experience in Game Design
Modules:
User Experience in Game Design Course Introduction, User Experience Theory Overview, What is User Experience in Game Design?, Usability Design, Development Bias, Learning Curve, User Experience Game Theory Review
Accessibility in Game Design Overview, Vision, Audio, Controls, Difficulty, Accessibility in Games Review
User Experience Categories Overview, Game UX, Level Design UX, Combat UX, Objectives UX, Crafting UX, User Experience Categories Review
Establishing a Game Loop Overview, Per Second Goals, Minute Goals, 15 Minute Goals, Hour Goals, Long Term Goals, Establishing a Game Loop Review, Course 7 Project Overview, Congratulations
Course: Program Design & Evaluation for Health Systems Strengthening
Modules:
Welcome to the course, Learning objectives and outline, Introduction to health systems strengthening, Systems thinking, Program design and evaluation from a health systems strengthening perspective, Learning objectives and outline, Health systems frameworks, Applying a health systems lens to evaluation models (Part 1), Applying a health systems lens to evaluation models (Part 2), Learning objectives and outline, Introduction to the evaluation planning tool (EPT)
Welcome to Module 2, Learning objectives and outline, Workforce interventions, Supply chain interventions, Information systems interventions, Learning objectives and outline, Guiding principles for designing health systems strengthening programs, Identifying and prioritizing opportunities: Part I, Identifying and prioritizing opportunities: Part II, Selecting health systems strengthening program
Welcome to Module 3, Learning objectives and outline, Study designs to evaluate health systems programs, Challenges in health system program evaluation, Learning objectives and outline, Overview of data sources for health systems strengthening evaluation, Modeling to evaluate health systems program impact, Learning objectives and outline, Implications of health system evaluation findings, Course wrap-up
Course: Music Production Capstone
Modules:
Welcome
Pre-Production, Project Phase 1: Pre-Production
Reflecting On Your Mock-Up, The Session, Project Phase 2: Production
Reflecting On Your Session, Editing, Project Phase 3: Editing
Reflecting On Your Record, Philosophies of Mixing, Mixing Techniques, Mastering Techniques, Project Phase 4: Mixing and Mastering, Congratulations!
Course: Introduction to RNN and DNN
Modules:
Introduction to the Specialization Course, Focus of the Course
Human Activity Recognition, Image Captioning, Machine Translation, Speech Recognition, Stock Price Predictions, When to Model RNN, Activity
Why PyTorch, PyTorch Installation and Tensors Introduction, Automatic Differentiation PyTorch New, Why DNNs in Machine Learning, Representational Power and Data Utilization Capacity of DNN, Perceptron, Perceptron Exercise, Perceptron Exercise Solution, Perceptron Implementation, DNN Architecture, DNN Architecture Exercise, DNN Architecture Exercise Solution, DNN Forward Step Implementation, DNN Why Activation Function Is Required, DNN Why Activation Function Is Required Exercise, DNN Why Activation Function Is Required Exercise Solution, DNN Properties of Activation Function, DNN Activation Functions in PyTorch, DNN What Is Loss Function, DNN What Is Loss Function Exercise, DNN What Is Loss Function Exercise Solution, DNN What Is Loss Function Exercise 02, DNN What Is Loss Function Exercise 02 Solution, DNN Loss Function in PyTorch, DNN Gradient Descent, DNN Gradient Descent Exercise, DNN Gradient Descent Exercise Solution, DNN Gradient Descent Implementation, DNN Gradient Descent Stochastic Batch Minibatch, DNN Gradient Descent Summary, DNN Implementation Gradient Step, DNN Implementation Stochastic Gradient Descent, DNN Implementation Batch Gradient Descent, DNN Implementation Minibatch Gradient Descent, DNN Implementation in PyTorch, DNN Weights Initializations, DNN Learning Rate, DNN Batch Normalization, DNN Batch Normalization Implementation, DNN Optimizations, DNN Dropout, DNN Dropout in PyTorch, DNN Early Stopping, DNN Hyperparameters, DNN PyTorch CIFAR10 Example
Course: 東亞儒學：孟子一(East Asian Confucianisms: Mencius (1))
Modules:
1-1、1-2 引言., 1-3 孔子思想中的「自我」 ., 1-4 孔子思想中的「他者」 ., 1-5 孔子思想中的「自然」 ., 1-6 孔子思想中的「超自然」., 1-7 結論 .
2-1 引言  ., 2-2 春秋戰國時代歷史的巨變., 2-3 孟子的人格與風格., 2-4 孟子對時代的批判 ., 2-5 結論.
3-1 引言 ., 3-2 孟子的思維方式(1) 「具體性思維方式」的運用與問題., 3-3-1 孟子的思維方式(2) 「聯繫性思維方式」的內涵、根源與問題 ., 3-3-2 孟子的思維方式(2) 「聯繫性思維方式」的內涵、根源與問題., 3-4 傳統中國文化的價值理念 ., 3-5 結論.
4-1 引言., 4-2 古代中國的「六氣」說., 4-3 孟子的生命觀與「浩然之氣」說的思想史地位 ., 4-4 孟子「養氣說」的理論基礎：「踐行」的理論基礎：「踐行」理論., 4-5 結論：孟子與中國古代文化特質 .
5-1 引言 ., 5-2 20世紀中國現代化之路., 5-3 中國民主的本土思想資源：孟子的「王道政治」論., 5-4 孟子的「王道政治」論的內涵及其運作邏輯., 5-5 孟子政治思想的歷史背景及其專制王權的衝突., 5-6 孟子王道政治論的假設及其限制., 5-7 結語.
6-1 引言., 6-2 中國古代思想中「公」「私」概念的發展., 6-3-1 東亞儒者對「公」「私」概念的看法  ., 6-3-2 東亞儒者對「公」「私」概念的看法 ., 6-4 結論 .
7-1 引言., 7-2-1 孟子思想中教育的本質及其目的., 7-2-2 孟子思想中教育的本質及其目的 ., 7-3 孟子教育哲學的人性論基礎 ., 7-4 孟子的教育方法論., 7-5 結論 .
Course: Matemáticas financieras
Modules:
Bienvenida
¿Qué es el interés simple?, ¿Cómo se determina el interés simple?, ¿Cuáles son las aplicaciones del interés simple?
¿Cómo se define el descuento simple?, ¿Cómo se calcula el descuento simple?, ¿En qué operaciones se aplica el descuento simple?
¿Cómo conceptualizar el interés compuesto?, ¿Cuáles son las fórmulas para el cálculo del interés compuesto?, ¿Cómo aplicamos el interés compuesto?
¿Qué es el descuento compuesto?, ¿Cómo se calcula el descuento compuesto?, ¿En qué aplicamos el descuento compuesto?
¿Cómo conceptualizar las anualidades?, ¿Cómo se determinan las anualidades?, Tabla de amortización con anualidades vencidas, Tabla de amortización con anualidades con tasas variables, Tabla de amortización con tasas variables, anticipos de capital y un periodo de gracia
Course: Core Java
Modules:
Navigating Codio Assignments, Code Style Notes (Optional Download), Package Namespace Notes (Optional Download), Build Automation with Maven Notes (Optional Download), Annotations, Assertions, and Unit Testing Notes (Optional Download), How to Reset an Assignment in Codio
List, Map, and Set Notes (Optional Download), Streams and lambdas Notes (Optional Download), Date and Time Notes (Optional Download)
Exceptions and Error Handling Notes (Optional Download), HTTP and HTTP Request Notes (Optional Download), Processing HTTP Response and JSON Notes (Optional Download)
Course: 모두를 위한 머신 러닝
Modules:
소개: 보는 컴퓨터, 인공 지능, 머신 러닝, 머신 러닝 알고리즘, 머신 러닝 전문가와의 인터뷰, 요약
비트, 바이트 및 숫자, 다른 유형의 데이터, 데이터 특징 소개, 데이터 특징, 신경망, 인터뷰: 데이터 특징
머신 러닝 실습 소개, 테스트, 머신 러닝의 문제, 머신 러닝의 적용 분야, 머신 러닝의 위험, 인터뷰: 머신 러닝의 이점과 위험
소개: 자신의 데이터세트 수집, 데이터세트 수집, 인터뷰: 첫 번째 머신 러닝 프로젝트에 대한 조언, 요약
Course: History of Rock, Part Two
Modules:
Intro
Overview of the 1970s, Blues Rock British Based, American Blues Rock and Southern Rock, Progressive Rock, Jazz-Rock, Theatrical Rock, Singer-Songwriters, British and Canadian Singer-Songwriters, Country Rock
Black Pop in the 1970s Intro, Sly Stone and the Rise of Funk, Motown in the 1970s, Philadelphia Sound, Blaxploitation Soundtracks, James Brown George Clinton and Parliament Funkadelic, The Rise of Reggae, Disco
Module 3 Intro, Mainstream Rock 1975–80, Continuities, Leaner Prog, Louder Singer-Songwriters, US Punk 1967-75, UK Punk 1974-77, American New Wave 1977-80, British New Wave 1977-80, Summarizing the 1970s
The Rise of MTV, The Rise of MTV Part Two, Michael Jackson and Madonna, Prince and Janet Jackson, MTV Success Stories, New Traditionalists and New Wave, New Acts Old Styles and Blue-Eyed Soul, Dinosaurs Adapt and Thrive
Module 5 Intro, Heavy Metal Grows, Heavy Metal Hits the Big Time, Metal Ambition, The Roots of Rap, Rap Crosses Over, CNN for Black People, Punk Goes Hardcore, Indie Rock Underground
Module 6 Intro, The Rise of Alternative, Indie Rock, Metal and Alternative Extensions, Hip-Hop in the 1990s, Classic Rock, New Rock Traditions, Female Singer-Songwriters, Teen Idols, Electronic Dance Music – Conclusion
Course: Poser des questions pour prendre des décisions basées sur les données
Modules:
Introduction à la résolution de problèmes et au questionnement efficace, Agissez avec les données, Nikki : Le processus de données fonctionne, Types de problèmes courants, Problèmes dans le monde réel, Anmol : De l’hypothèse au résultat, Questions SMART, Evan : Les données ouvrent des portes
Données et décisions, Comment les données renforcent les décisions, Données qualitatives et quantitatives, La grande révélation : partagez vos conclusions, Différences entre données et critères, Pensée mathématique
L’incroyable feuille de calcul, Travailler avec les feuilles de calcul, Premiers pas dans les feuilles de calcul, Formules pour réussir, Erreurs et corrections des feuilles de calcul, Fonctions 101, Avant de résoudre un problème, comprenez-le, Périmètre du travail et pensée structurée, Rester objectif
Communiquer avec votre équipe, Équilibrer les besoins et les attentes au sein de votre équipe, Concentrez-vous sur ce qui compte, Une communication claire est essentielle, Astuces pour une communication efficace, Équilibrer les attentes et les objectifs réalistes du projet, Sarah : Comment communiquer avec les partenaires, L’échange de données : entre rapidité et précision, Réfléchissez à votre processus et à vos résultats, Respect des meilleures pratiques, Ximena : Rejoindre une nouvelle équipe, Du conflit à la collaboration, Nathan : Du corps des US Marines à l’analytique des données, Résumé du cours, Félicitations !
Course: Employment Law: The Gig Economy
Modules:
Welcome to the Course!, What is Gig Work?, Why Does Gig Work Matter?, What's So New About Gig Work?, Why is the Gig Economy So Hard to Regulate?, What Will This Class Focus On?
EE vs. IC (Importance, Origins), The Control Test, Gig Work Control and the California Cases Part 1, Gig Work Control and the California Cases Part 2, PRO Act, Intermediate Classifications
Collective Activity in the United States, Alternative Approaches to Collective Activity, Seattle Uber Litigation, Comparative Perspectives
Employment Discrimination Overview, Discrimination Worries in the Gig Economy, Section 230 of the CDA, Retirement Benefits and Unemployment Insurance Intro, Retirement Benefits Part 1, Retirement Benefits Part 2, Unemployment Insurance, Health and Safety Regulation, OSHA, Conclusion
Course: Quality Improvement for Population Health
Modules:
Welcome, QIH12.05, QIH12.07: Use of Funnel Plots in Quality Improvement Initiatives
QIH13.05 Quality Improvement and Public Health in Practice
QIH.14.04: The Future of Quality Improvement
Summary
Course: Content, Advertising & Social IMC
Modules:
Importance of Content in Social Marketing, Paid / Owned / Earned Media
How to Develop Facebook-type Advertising Pt 1, How to Develop Facebook-type Advertising Pt 2
Social IMC Strategy, What is Gamification?, Keep Them Coming Back, Applications for Social IMC Strategy, Social IMC Example: Ridgid Plumber Forum, Social IMC Example: Carling Black Label, Social IMC Example: North Face, Social IMC Example: American Express, Engaging Your High-Value Markets, Rolling Out Your Blog, A/B Split Testing in 4 Easy Steps - Step 1 Building your Testing Grid, Step 2 - Creating your Tracking URLs, Step 3 - Executing Your Plan, Step 4 - Analyzing your Results, Hootsuite offers a Free message scheduler to automate message distribution
Three Social Strategies, Measuring Social IMC Programs, Key Performance Indicators, Testing Your Strategies
Course: Create Image Captioning Models - Italiano
Modules:
Creare modelli per le didascalie delle immagini: panoramica, Creare modelli per le didascalie delle immagini: procedura dettagliata del lab
Course: Procurement Basics
Modules:
Welcome Course 2, Procurement Definitions
Importance of Procurement
Procurement Processes
Direct vs. Indirects
Stakeholder Management
Course: The New Digital Workplace
Modules:
Lesson 1: The Impact of Technology in the Workplace, The Digital Workplace, The Need for Digital Skills, Impact of Automation and Technology, The Rise of Digital Platforms, Lesson 2: Essential Skills for the Digital Workplace, Exploring Emerging Roles, The Changing Skills Landscape, Essential Skills for the Digital Workplace, Determining Skills Strengths and Gaps, Lesson 3: The Technology–Driven Career Landscape, Identifying Trends in Healthcare, Identifying Trends in Technology, The Power of Lifelong Learning
Lesson 1: Define Career and Digital Navigation, Goodwill Opportunity Accelerator® Framework, Using the OA Framework with Clients, Can You Spot a Digital Navigator?, Digital Skills Spectrum: Navigating Proficiency Levels, Digital Skills Spectrum Case Studies, Lesson 2: Individual and Community Navigation Intervention, Identifying the Need for Intervention, Types of Interventions, Digital Navigation Case Study: Successful Interventions, Lesson 3: Digital Navigator Service Plan, Exploring Dual Roles, Service Plan Development
Lesson 1: Building the Relationship, What Is Ethics in Digital Navigation?, Best Practices for Relationship-Building, ICF Core Competencies, Defining Cultural Competencies, Lesson 2: Setting Expectations, Establishing Rapport, Building Credibility, Relationship-Building in Practice, Cultivating Trust, Maintaining Confidentiality, and Identifying Resources, Lesson 3: Importance of Equity, Understanding Digital Equity and Diverse Clients, Developing Tailored Digital Navigation for Diverse Communities, Equity and Inclusion Best Practices, Wrap Up
Course: Introduction to Acoustics (Part 2)
Modules:
Introduction, Course Overview
Week 1: Introduction, Lecture 1-1 Part 1. Simple Radiation Problem, Lecture 1-1 Part 2. Breathing Sphere Problem 1, Lecture 1-1 Part 3. Breathing Sphere Problem 2, Lecture 1-2 Part 1. Breathing Sphere Problem 3 (Review), Lecture 1-2 Part 2. Breathing Sphere Problem 4, Lecture 1-2 Part 3. Trembling Sphere Problem, Week 1 Summary Video
Week 2: Introduction, Lecture 2-1 Part 1. Review, Lecture 2-1 Part 2. Kirchhoff-Helmholtz Equation 1, Lecture 2-1 Part 3. Kirchhoff-Helmholtz Equation 2, Lecture 2-2 Part 1. Baffled Piston Problem 1, Lecture 2-2 Part 2. Baffled Piston Problem 2, Lecture 2-2 Part 3. Radiation from a Finite Vibrating Plate, Week 2 Summary Video
Week 3: Introduction, Lecture 3-1 Part 1. Review: Kirchhoff-Helmholtz Equation, Lecture 3-1 Part 2. Diffraction and Scattering 1, Lecture 3-1 Part 3. Diffraction and Scattering 2, Lecture 3-2 Part 1. Diffraction and Scattering 3, Lecture 3-2 Part 2. Summary of Chapter 4 (1), Lecture 3-2 Part 3. Summary of Chapter 4 (2)
Week 4: Introduction, Lecture 4-1 Part 1. Acoustically Large Space 1, Lecture 4-1 Part 2. Acoustically Large Space 2, Lecture 4-1 Part 3. Acoustically Large Space 3, Lecture 4-2 Part 1. Sabine's Theorem 1, Lecture 4-2 Part 2. Sabine's Theorem 2, Lecture 4-2 Part 3. Sabine's Theorem 3, Week 4 Summary Video
Week 5: Introduction, Lecture 5-1 Part 1. Direct and Reverberant Field 1, Lecture 5-1 Part 2. Direct and Reverberant Field 2, Lecture 5-1 Part 3. Analysis Methods for a Closed Space, Lecture 5-2 Part 1. Helmholtz Resonator, Lecture 5-2 Part 2. Duct Acoustics 1, Lecture 5-3. Duct Acoustics 2 / Summary, Week 5 Summary Video
Course: Intro to Managing Resources Using Infrastructure-as-Code
Modules:
Navigating Codio Assignments, How to Reset an Assignment in Codio, Bash/Manual, Ansible, Containers
Navigating Codio Assignments, How to Reset an Assignment in Codio, Docker, Container Orchestration, Kubernetes
Navigating Codio Assignments, How to Reset an Assignment in Codio, Cloud Infrastructure Overview, Terraform, Multiple Environments
Course: Working with Version Control
Modules:
Introduction to the course, What is version control?, Security and version control, Setting up a repository, Using add, commit and push, Branching and merging, Public repositories and forking
Welcome to Week 2, GitHub Markdown
GitHub Projects, Keeping organised: Kanban boards, Using GitHub's issue tracker
Course: Art and Science of Machine Learning 日本語版
Modules:
コースの概要, Google Cloud Platform と Qwiklabs のスタートガイド
概要, 正則化, L1/L2 正則化, ラボの概要: 正則化, ラボ: 正則化, 学習率とバッチサイズ, 最適化, ラボの概要: 学習曲線の確認
概要, パラメータまたはハイパーパラメータ, グリッド検索を発展させた考察, ラボの概要: BigQuery から Google Cloud Storage へのデータのエクスポート, ラボの概要: ハイパーパラメータ調整の実行
概要, スパース性の正則化, ラボ: L1 正則化, ラボでのソリューション: L1 正則化, ロジスティック回帰
ニューラル ネットワーク入門, ニューラル ネットワーク, ラボ: ニューラル ネットワーク環境, トレーニング ニューラル ネットワーク, ラボの概要: Keras Functional API を使用した DNN の構築, ラボの概要: AI Platform を使用したモデルの大規模なトレーニング, 複数クラスのニューラル ネットワーク
埋め込みの概要, 埋め込みの確認, 推奨事項, データドリブンな埋め込み, スパースなテンソル, 埋め込みのトレーニング, 類似性プロパティ, ラボの概要: Functional API の概要
まとめ
Course: Learn HTML and CSS
Modules:
HTML Quiz
CSS Quiz
CSS Quiz
CSS Quiz
CSS Quiz
Course: Fundamentals of Leadership, with Goldman Sachs 10,000 Women
Modules:
Welcome, Your core values and assumptions, How do women lead?, The importance of company culture, Defining Vision Statements
Course: Monetary Policy in the Asia Pacific
Modules:
Welcome to Monetary Policy in the Asia Pacific, Monetary Policy Framework, 1.0 Monetary Policy Implementation Overview, 1.1 Central Banks, 1.1 Central Banks Concept Check, 1.2 Interbank Interest Rates, 1.2 Interbank Interest Rates Concept Check, 1.3 Liquidity Preference Model, 1.3 Liquidity Preference Model Concept Check, 1.4 Open Market Operations, 1.4 Open Market Operations Concept Check, 1.5 Operational Target, 1.5 Operational Target Concept Check, 1.6 Interest Rate Corridor, 1.6 Interest Rate Corridor Concept Check, 1.7a Money Markets Expectations Theory Part 1, 1.7b Money Markets Expectations Theory Part 2, 1.7 Expectations Theory Concept Check, 1.8 Monetary Policy Implementation Summary
2.0 Monetary Policy Strategy Overview, 2.1a Inflation and Real Rates Part 1, 2.1a Inflation and Real Rates Concept Check, 2.1b Inflation and Real Rates Part 2, 2.1b Inflation and Real Rates Concept Check, 2.2 Benefits of Price Stability, 2.2 Benefits of Price Stability Concept Check, 2.3 Causes of Inflation Volatility, 2.3 Causes of Inflation Volatility Concept Check, 2.4 Monetary Policy Transmission, 2.4 Monetary Policy Transmission Concept Check, 2.5 Inflation Targeting Structure, 2.5 Inflation Targeting Structure Concept Check, 2.6 Inflation Targeting: Conduct, 2.6 Inflation Targeting: Conduct Concept Check, 2.7 Unconventional Monetary Policy, 2.7 Unconventional Monetary Policy Concept Check, 2.8 Monetary Policy Strategy Summary
3.0 Monetary Policy and Exchange Rates Overview, 3.1 Exchange Rate Volatility, 3.1 Exchange Rate Volatility Concept Check, 3.2 Balance of Payments Model, 3.2 Balance of Payments Model Concept Check, 3.3 Floating Exchange Rates, 3.3 Floating Exchange Rates Concept Check, 3.4 Interest Parity, 3.4 Interest Parity Concept Check, 3.5 Inflation Stabilization, 3.5 Inflation Stabilization Concept Check, 3.6 Foreign Exchange Intervention, 3.6 Foreign Exchange Intervention Concept Check, 3.7 Fixed Exchange Rates, 3.7 Fixed Exchange Rate Concept Check, 3.8 Monetary Policy & Exchange Rates Summary
4.0 Bringing it all together overview, 4.1 Basket Peg and Singapore, 4.2 Currency Controls in China, Monetary Policy in the Asia Pacific Course Wrap-up
Course: Preparing for the AP Physics 1 Exam
Modules:
Welcome message from the instructors, Kinematics 1, Kinematics 2, Kinematics 3
Dynamics A - Newton's Laws, Dynamics B, Dynamics B Subtitled Better, Dynamics C
Circular A, Circular Motion A: New subtitles requested, Circular B
Energy A, Energy B, Energy C, Energy C Correct Subtitles
Rotation A, Rotation B, Rotation C
Waves, SHM B, SHM C
Circuits A, Circuits B, Circuits C
Course: Extracellular Vesicles in Health and Disease
Modules:
Lecture 1.1: Introduction to MOOC II, Lecture 1.2: Overview of MOOC I
Lecture 2.1— Bacterial Extracellular Vesicles (crosstalk with the microbiome), Lecture 2.2 — Coagulation, Lecture 2.3 — Immunity, Lecture 2.4 — Metabolism, Lecture 2.5 — Pregnancy, Lecture 2.6 — Inflammation and Stress Responses, Lecture 2.7 — Apoptotic & Senescence Physiological Processes
Lecture 3.1 — Oncology: Shared Functional Aspects of EVs in Oncology, Lecture 3.2 — Oncology: Communication with Tumour Microenvironment, Lecture 3.3 — Oncology: Tumour and Immune System Interaction, Lecture 3.4 — Oncology: Cancer Proliferation and Survival, Lecture 3.5 — Oncology: Cancer Biomarker
Lecture 4.1— Cardiovascular Diseases, Lecture 4.2 — Haematological Diseases I, Lecture 4.3 — Haematological Diseases II, Lecture 4.4 — Diseases of the Nervous System, Lecture 4.5 — Infectious Diseases, Lecture 4.6 — Urology, Lecture 4.7 — Respiratory Diseases
Course: Google Workspace Mail Management - Português Brasileiro
Modules:
Olá!, Registros do Sistema de Nomes de Domínio (DNS), Registros DNS usados pelo Google Workspace, Segurança de e-mail, Segurança de e-mail e acesso do usuário final, Prevenir spam, phishing e malware, Gateway de entrada, Compliance, Outros controles de compliance, Roteamento de e-mails, Controles de roteamento de e-mails, Recapitulação do curso