dipopotamus/custom_instruct_coursera_course_module_list huggingface dataset:
Course: Introduction to German Opera
Modules:
Welcome to German Opera from Prof. Steve Swayne, Introduction to German Opera, The Orchestra, Video: Das Rheingold, Scenes I through IV, Video: Das Rheingold, Part I, Video: Das Rheingold, Part II, Video: Das Rheingold, Part III, Video: Unit 1 - Wrap-up
Video: Mozart, Video: Beethoven, Video: Weber, Video: Unit 2 - Wrap-up
Video: Wagner - Part I, Video: Wagner - Part II, Video: Wagner - Part III, Video: Wagner - Part IV, Video: After Wagner and Unit 3 Wrap-up
Video: Richard Strauss - Part I, Video: Richard Strauss - Part II, Video: Richard Strauss - Part III, Video: Twentieth-century German opera and Unit 4 Wrap-up, Video: Course Finale - Wrap-up
Course: Text Mining and Analytics
Modules:
Introduction to Text Mining and Analytics, Course Prerequisites & Completion
1.1 Overview Text Mining and Analytics: Part 1, 1.2 Overview Text Mining and Analytics: Part 2, 1.3 Natural Language Content Analysis: Part 1, 1.4 Natural Language Content Analysis: Part 2, 1.5 Text Representation: Part 1, 1.6 Text Representation: Part 2, 1.7 Word Association Mining and Analysis, 1.8 Paradigmatic Relation Discovery Part 1, 1.9 Paradigmatic Relation Discovery Part 2
2.1 Syntagmatic Relation Discovery: Entropy, 2.2 Syntagmatic Relation Discovery: Conditional Entropy, 2.3 Syntagmatic Relation Discovery: Mutual Information: Part 1, 2.4 Syntagmatic Relation Discovery: Mutual Information: Part 2, 2.5 Topic Mining and Analysis: Motivation and Task Definition, 2.6 Topic Mining and Analysis: Term as Topic, 2.7 Topic Mining and Analysis: Probabilistic Topic Models, 2.8 Probabilistic Topic Models: Overview of Statistical Language Models: Part 1, 2.9 Probabilistic Topic Models: Overview of Statistical Language Models: Part 2, 2.10 Probabilistic Topic Models: Mining One Topic
3.1 Probabilistic Topic Models: Mixture of Unigram Language Models, 3.2 Probabilistic Topic Models: Mixture Model Estimation: Part 1, 3.3 Probabilistic Topic Models: Mixture Model Estimation: Part 2, 3.4 Probabilistic Topic Models: Expectation-Maximization Algorithm: Part 1, 3.5 Probabilistic Topic Models: Expectation-Maximization Algorithm: Part 2, 3.6 Probabilistic Topic Models: Expectation-Maximization Algorithm: Part 3, 3.7 Probabilistic Latent Semantic Analysis (PLSA): Part 1, 3.8 Probabilistic Latent Semantic Analysis (PLSA): Part 2, 3.9 Latent Dirichlet Allocation (LDA): Part 1, 3.10 Latent Dirichlet Allocation (LDA): Part 2
4.1 Text Clustering: Motivation, 4.2 Text Clustering: Generative Probabilistic Models Part 1, 4.3 Text Clustering: Generative Probabilistic Models Part 2, 4.4 Text Clustering: Generative Probabilistic Models Part 3, 4.5 Text Clustering: Similarity-based Approaches, 4.6 Text Clustering: Evaluation, 4.7 Text Categorization: Motivation, 4.8 Text Categorization: Methods, 4.9 Text Categorization: Generative Probabilistic Models
5.1 Text Categorization: Discriminative Classifier Part 1, 5.2 Text Categorization: Discriminative Classifier Part 2, 5.3 Text Categorization: Evaluation Part 1, 5.4 Text Categorization: Evaluation Part 2, 5.5 Opinion Mining and Sentiment Analysis: Motivation, 5.6 Opinion Mining and Sentiment Analysis: Sentiment Classification, 5.7 Opinion Mining and Sentiment Analysis: Ordinal Logistic Regression
6.1 Opinion Mining and Sentiment Analysis: Latent Aspect Rating Analysis Part 1, 6.2 Opinion Mining and Sentiment Analysis: Latent Aspect Rating Analysis Part 2, 6.3 Text-Based Prediction, 6.4 Contextual Text Mining: Motivation, 6.5 Contextual Text Mining: Contextual Probabilistic Latent Semantic Analysis, 6.6 Contextual Text Mining: Mining Topics with Social Network Context, 6.7 Contextual Text Mining: Mining Casual Topics with Time Series Supervision, 6.8 Course Summary
Course: Microsoft on AWS - Porting Assistant for .NET
Modules:
Microsoft on AWS - Porting Assistant for .NET
Course: Prediction and Control with Function Approximation
Modules:
Course 3 Introduction, Meet your instructors!
Moving to Parameterized Functions, Generalization and Discrimination, Framing Value Estimation as Supervised Learning, The Value Error Objective, Introducing Gradient Descent, Gradient Monte for Policy Evaluation, State Aggregation with Monte Carlo, Semi-Gradient TD for Policy Evaluation, Comparing TD and Monte Carlo with State Aggregation, Doina Precup: Building Knowledge for AI Agents with Reinforcement Learning, The Linear TD Update, The True Objective for TD, Week 1 Summary
Coarse Coding, Generalization Properties of Coarse Coding, Tile Coding, Using Tile Coding in TD, What is a Neural Network?, Non-linear Approximation with Neural Networks, Deep Neural Networks, Gradient Descent for Training Neural Networks, Optimization Strategies for NNs, David Silver on Deep Learning + RL = AI?, Week 2 Review
Episodic Sarsa with Function Approximation, Episodic Sarsa in Mountain Car, Expected Sarsa with Function Approximation, Exploration under Function Approximation, Average Reward: A New Way of Formulating Control Problems, Satinder Singh on Intrinsic Rewards, Week 3 Review
Learning Policies Directly, Advantages of Policy Parameterization, The Objective for Learning Policies, The Policy Gradient Theorem, Estimating the Policy Gradient, Actor-Critic Algorithm, Actor-Critic with Softmax Policies, Demonstration with Actor-Critic, Gaussian Policies for Continuous Actions, Week 4 Summary, Congratulations! Course 4 Preview
Course: Data Ingestion, Exploration & Visualization in Qlik Sense
Modules:
Introduction to the course and Meet your Instructor, Efficient data loading in qlik sense, Exploring data fields in qlik sense, Mastering data cleaning and calculated fields in qlik sense, Data transformation techniques in qlik sense, Unlocking insights with associative data modeling in qlik sense, Mastering common charts (bar, line, pie, histogram), Information-level charts (gauge, KPI, text, image), Modifying dimensions and measures, From charts to dashboards, Simple expressions and practical use-cases, Interactive features (filter panes and add-ons), Crafting compelling titles in qlik sense, Exploring new dimensions: leveraging alternative dimensions for deeper insights, Form meets function: design and styling in qlik sense
Course: Supporting Parents of a Newborn Baby
Modules:
Introduction: Supporting Parents of a Newborn Baby, Pregnancy-related Depression and Baby Blues, Pregnancy-related baby Blues, Treatment for Pregnancy-related Mood & Anxiety Disorders, Lifestyle Tools for Prevention and Treatment, Paternal Depression
Care Providing, Family Support, and Fatherhood, Vital Support: Loving and Caring for Baby, Interview: Same-sex partners, Interview: Same-sex Considerations, Interview: Same-sex Support
Attachment and Relationship Development, Kangaroo Care Skin-to-Skin, Brain Development, Regulation, and Adversity
Skills: Weight and Measurements, Skills: Providing Breathing Support, Skills: More Newborn Skills
Course: Engineering Project Management: Scope, Time and Cost Management
Modules:
Meet the Professors, Introduction to Specialization
Introduction and Objectives, Scope Development - Part 1, Scope Development - Part 2, Requirements Development, Scope Control Process, Kaz and Tom Weekly Conclusion, Assignment Overview
Introduction and Objectives, What is a WBS?, Work Packages, Steps for Creating a WBS, Case WBS, Kaz and Tom's Weekly Conclusions, Assignment Overview
Introduction and Objectives, Time Management, Critical Path Method Overview, Types of Diagrams, Activity on Node Example, Finding Critical Path, Forward Pass Diagram, Backward Pass Diagram, Total Slack, Free Slack, Things that can go wrong, Strategies for Dealing, Tools and Conclusion, Kaz and Tom Weekly Conclusion, Assignment Overview
Introduction and Objectives, Preparing an Estimate, Estimate Bases, Type of Estimates, Cost Baseline, Kaz and Tom Weekly Conclusion, Assignment Overview
Introduction and Objectives, Monitoring Our Project, Calculating Earned Value 1, Calculating Earned Value 2, Creating a Forecast, Kaz and Tom Weekly Overview, Assignment Overview
Course Conclusion
Course: The Making of Modern Ukraine
Modules:
Ukrainian Questions Posed by Russian Invasion, The Genesis of Nations, Geography and Ancient History, Before Europe, Vikings, Slavers, Lawgivers: The Kyiv State, The Grand Duchy of Lithuania, The Rise of Muscovite Power, The Jews of Early Modern Ukraine (Glenn Dynner), Polish Power and Cossack Rebellion, Global Empires, Ottoman Retreat, Russian Power, Ukrainian Populism, Habsburg Curiosity, Republics and Revolutions, Interwar Poland's Ukrainians, Ukrainization, Famine, Terror: The 1920s-1930s, Colonization, Extermination, Ethnic Cleansing: the 1940s, Reforms, Recentralization, Dissidence: The 1950s-1970s, Before and After the End of History, Oligarchies in Russia and Ukraine, Maidan and Self-Understanding (Marci Shore), Comparative Russian Imperialism (Arne Westad), Ukrainian Ideas in the Twenty-First Century, The Colonial, the Post-Colonial, the Global
Course: Hospitality Luxury Brand Management
Modules:
Introduction to course and instructor, Redefining luxury in the modern era, Factors shaping contemporary luxury, The psychology of luxury consumption, The global luxury hospitality market, Market segmentation and trends, The luxury traveler's profile, Core elements of a luxury brand platform, The role of heritage and storytelling, Case studies of iconic luxury brands, Applying luxury branding aesthetics and standards, Crafting curated luxury experiences, Case studies of successful luxury applications across hospitality
Why consistency matters in luxury brand management, Challenges and best practices, Examples of brand consistency in luxury hospitality, Defining quality in luxury hospitality, Measuring and maintaining high standards, The impact of quality on guest experiences, Luxury brand economics and market share, Business models in luxury hospitality, Strategies for growth and differentiation, Case studies in maintaining consistency and quality, Practical insights from luxury brand experts, Common methods in evaluating brand consistency
Exploring the world of luxury dining, Michelin-starred restaurants and renowned chefs, Culinary excellence in luxury settings, The luxury spa and wellness industry, High-end health and wellness services, Relaxation, rejuvenation, and self-care, Luxury travel experiences, Private jets and personalized itineraries, Upscale cruise lines and personalized tours, Crafting unique and curated experiences, Cultural excursions and adventure activities, Immersive cultural encounters
Identifying challenges unique to luxury brand management, Seizing opportunities for growth, Crisis management, reputation, and the role of technology, Examining successful luxury brand management cases, Strategies behind their achievements, including technology-driven solutions, Lessons to apply in your brand management, with a focus on innovation, Predicting the changing dynamics of luxury in the hospitality industry, Embracing sustainable luxury, ethical considerations, and community involvement, Preparing for shifting customer expectations, incorporating technology and sustainability, Exploring emerging trends and innovations in hospitality and luxury, including AI, VR, and AR applications, Technological advancements and their impact on luxury experiences and sustainability efforts, Cutting-edge branding strategies, guest engagement, and creating memorable, sustainable experiences, Conclusion
Course: Detecting and Mitigating Cyber Threats and Attacks
Modules:
Introduction, About the Instructor, Firewall basics, Advanced firewalls, Types of firewall configurations
Detection Methods, Intrusion Detection Systems, Intrusion Prevention Systems
Anti-Virus/Anti-Malware, Snort, HIDs and HIPs, Splunk
Attacks are inevitable - Prepare, Before the Attack, During the Attack, After the Attack
How data breaches are exposed
Course: Capstone: Application de la gestion de projets dans le monde réel
Modules:
Introduction au Cours 6, Chartes de projets: Objectif et composants, Chartes de projets: L’alignement des intervenants, Chartes de projets: Élaboration des objectifs SMART, Chartes de projets : Définition de la portée, des avantages et des coûts, Afsheen: Lancer un projet efficacement, Réalisation d’une analyse des intervenants, Trouver des solutions mutuellement avantageuses, Stanton: Gérer les changements de la portée avec les intervenants, Exercer une influence dans les négociations, Synthèse
Introduction: Élaboration d’un plan de projet, Identifier les tâches du projet: Analyser la documentation, Identifier les tâches du projet: Effectuer des recherches en ligne, Identifier les tâches du projet: Analyser les conversations clés, Ordonner les tâches et identifier les jalons, Estimation du temps: Poser les bonnes questions, Estimation du temps: Estimation en trois points, Estimation du temps: Appliquer des niveaux de confiance, Estimation du temps: Négociation effective de l'estimation du temps, Estimation du temps: Négocier avec empathie, Torie: Pratiquer l'empathie en tant que gestionnaire de programme, Synthèse
Introduction: Maintenir la qualité, Concepts clés de gestion de la qualité, Définir des normes de qualité, Créer des questions d'évaluation, Déterminer des indicateurs d'évaluation, Élaborer une enquête, Faire la présentation d’une évaluation, La valeur des rétrospectives, Rétrospectives: Encourager la participation, Rétrospectives: Encourager la responsabilisation, Rétrospectives: Lutter contre la négativité, Dana: Mener des rétrospectives positives, Synthèse
Introduction: Une communication efficace avec les intervenants, Communiquer les problèmes du projet, Chris: L’art de la résolution de problèmes, Relier les problèmes du projet aux objectifs, Rédiger des courriels pour faire remonter un problème, Laura: Meilleures pratiques de communication avec les intervenants, Remplir un rapport de clôture, Rapport d’impact du projet, Synthèse, Rapport de bouclage personnel, Réussir un argumentaire éclair, La méthode STAR, Interviewer à distance, Conseils d’entretien des Googlers, Félicitations de vos instructeurs, Explorer les opportunités professionnelles
Course: Advanced Digital Transformation (Part 1)
Modules:
Course Introduction, Meet Your Instructor, Week's Introduction, Digital Transformation: An Introduction, The Context of Digital Transformation, Mastering Digital Transformation, Challenges Underlying Digital Transformation, The Transformative Paradox, The Organizational Approach
Week's Introduction, Mastering Digital Transformation: A Scientific Approach, The Scientific Approach: Lenses, Lenses for Digital Transformation, The Scientific Approach: Concepts, Concepts Underlying Digital Transformation, Relationship between Concepts: Hypotheses, The Scientific Approach: Hypotheses, Purpose of Digital Transformation: Instrumental, Operational, and Existential
Week's Introduction, Digital Transformation: The Instrumental Purpose, Organizational Performance and Technology, Positioning-based and Efficiency (or Resource)-based Theories, The Capabilities Model of Organization, Digital  Transformation as Capability-building, Exemplar: Capabilities of Digital India, Digital India Capabilities (Digital Public Infrastructure) Pt2: Discussion
Week's Introduction, The Capability Performance Hypotheses, High-Performance Digital Capabilities, Hierarchy of Capabilities, Digital Capability Conversion Factor, Capability Performance Hypotheses: The Role of Context, Organizational Capability Performance Factor
Peer-Graded Assignment: Identifying the Instrumental Purpose underlying a well-known Digital Transformation
Course: Temas avanzados de MySQL
Modules:
Introducción a temas avanzados de MySQL, Funciones y procedimientos almacenados en MySQL, Variables y parámetros, Desarrollo de funciones definidas por el usuario, Crear procedimientos almacenados complejos, ¿Qué son los desencadenadores de MySQL?, Tipos de desencadenadores de MySQL, Crear y anular desencadenadores en MySQL, Cómo trabajar con eventos programados de MySQL, Resumen del módulo: Funciones y desencadenadores
Información general sobre la optimización de bases de datos, Optimización de instrucciones SELECT de base de datos, Optimización de las instrucciones SELECT de la base de datos en la práctica, Índices en MySQL, Transacción de MySQL, Expresión de tabla común (CTE) de MySQL, Instrucción preparada de MySQL, MySQL JSON, Resumen del módulo: Optimización de bases de datos
Descripción general de la analítica de bases de datos, Uso de MySQL para el análisis de datos, Análisis de datos en MySQL mediante consultas SQL, Cómo emular un Full Outer Join en MySQL, Cómo extraer datos de varias tablas con UNIONES, Resumen del módulo: MySQL para analítica de datos
Resumen del curso: Advanced MySQL, Resumen del curso
Course: Java Programming Fundamentals and Object-Oriented Concepts
Modules:
Introduction to the Specialization, Java Development Kit (JDK) Installation, Eclipse Integrated Development Environment (IDE) Installation, First Java Program, Primitive Data Types in Java, Arithmetic Operators in Java, Logical and Bitwise Operators in Java, Relational Operators in Java, Conditional Statements - If Condition, Conditional Statements - Nested If Condition, Loops - For Loop, For Loop - Hands-On Exercise, Loops - Nested For, Hands-On Exercise on Nested For Loop, Loops - While and Do While, Loops - Break and Continue
String Basics, String Compare, String Search, String Slice, String Replace, String Conversion
What Is Class and Object?, Class and Object - Hands-On Exercise 1, Methods in Java, Method Overloading, Access Specifiers - Modifiers, Constructor, Data Encapsulation, Static Keyword, Main Method, Hands-On Exercise 2 on Class and Object
Math Class, StringBuilder Class, StringBuilder Method, Scanner Class, Random Class, Universally Unique Identifier (UUID) Class
var Keyword, Concept of Garbage Collector (GC) and Java 10 Update in GC, Other Updates in Java 10
Class Inheritance, Method Overriding, Polymorphism, Super Keyword, Superclass Constructor, Protected Access Specifier, Abstraction, Interface, Final Keyword
What Is an Array?, Array Object, Enhanced For Loop for Array Iteration, Array - Hands-On Exercise, Two-Dimensional (2D) Array, Two-Dimensional (2D) Array - Hands-On Exercise, Array of Object
Array List, Structure of a Linked List, Linked List, ArrayList Versus LinkedList, List Iterator
HashSet, LinkedHashSet, TreeSet, Iterating on Sets, HashMap, TreeMap, Iterating on Maps
Course: Humanidades digitales
Modules:
Organización del curso y evaluación, Resolver dudas e incidencias, Preguntas frecuentes: generales, Preguntas frecuentes: certificado, Preguntas frecuentes: cuestionarios
De las Humanidades a las Humanidades Digitales, El cuarto paradigma, De la e-Ciencia a las e-Humanidades, La Sociedad digital, Big Data y Humanismo
Introducción a software y middleware básico, Open Source y Open Data, Bases de datos, Análisis y Reconocimiento de Imágenes, La difusión de datos en Multi-Redes, Aspectos legales y éticos de la digitalidad
Música Digital, El ser humano digital: notas antropología, sociología y psicología, La textualidad digital, Pensamiento hipertextual o experimental, La dimensión temporal: Arqueología Digital
Patrimonio Digital, Arte digital en sus diversas formas, Política y e-Democracia, Innovación Social Digital, Conservación de lo digital
Course: Organizational Behavior: How to Manage People
Modules:
Welcome to the Course, 1.- Week 1 Intro, 2.- Content Theories, Part 1, 3.- Content Theories, Part 2, 4.- The Nature of Our Jobs, Part 1, 5.- The Nature of Our Jobs, Part 2, 6.- The Goals We Want to Achieve, 7.- Process Theories, Part 1, 8.- Process Theories, Part 2, 9.- Comparisons to Others, 10.- Learning And Self-Efficacy, 11.- Outcome Theories, Part 1, 12.- Outcome Theories, Part 2
1.- Week 2 Intro, 2.- What Is Leadership?, 3.- Trait Theories, 4.- Trait Theories, Part 2, 5.- Behavioral Theories, 6.- Contingency Theories, Part 1, 7.- Contingency Theories, Part 2, 8.- Contingency Theories, Part 3, 9.- Neo-charismatic Theories, 10.- Current Perspectives
1.- Week 3 Intro, 2.- Team Design, Part 1, 3.- Team Design, Part 2, 4.- Team Composition, Part 1, 5.- Team Composition, Part 2, 6.- Team Processes, Part 1, 7.- Team Processes, Part 2, 8.- Teams Over Time, Part 1, 9.- Teams Over Time, Part 2, 10.- Week 3 Recap
1.- Week 4 Intro, 2.- Introduction to Rijk Zwaan, 3.- What Is Culture?, 4.- The Three Levels of Culture, 5.- Rijk Zwaan’s Levels of Culture, 6.- Organizational Culture, 7: National Culture Part 1, 8.- National Culture, Part 2, 9.- National Culture, Part 3, 10.- Week 4 Recap, 11.- Organizational Behavior Course Recap, Part 1, 12.- Organizational Behavior Course Recap, Part 2, 13.- Rijk Zwaan Company Video
Course: Foundations of strategic business analytics
Modules:
Welcome to the course, Becoming a Business Analytics expert, Why? It is all about value not data, How to leverage data for value - from data to insight
Introduction: what’s the point of finding groups within data?, Basic clustering using ad-hoc techniques: the example of product management, Identifying groups within data: what's the intuition behind clustering? The example of HR Analytics, Introduction to Customer Segmentation, Presentation of Pauline Glikman, Recital M2 - SKU example, Recital M2 - HR example, Recital M2 - Telecom example, Wrap-up:  identifying groups within data
Understanding causes and consequences: introduction, Why use Business Analytics to understand the relationship between causes and consequences, Understanding what distinguishes two categories, Beyond the regression estimates: reporting effects in a visual way, Recital M3 - Credit score example, Recital M3 - HR example, Wrap-up: identifying causes to effects
Predictions & Forecasting: introduction, Predicting events: sales, defaults, risks, churn, etc., Using classification and regression techniques to forecast, Predicting when an event will happen with survival analysis, Introduction to time series and seasonality, Recital M4 - Credit Score, Recital M4 - HR example, Recital M4 - Predictive maintenance example, Recital M4 - Chocolate Sales example, Wrap-up: forecasting events
Reporting your results: introduction, It's all about the story, One slide / One idea, One picture is worth a thousand words, Recital M5 - How to present your findings, Wrap-up: reporting your results
Course: Ordered Data Structures
Modules:
1.1 Arrays, 1.2 Linked Memory, 1.3 Run Time Analysis, 1.4 Array and List Operations, 1.5 Queue (Data Structure), 1.6 Stack (Data Structure)
2.1 Tree Terminology, 2.2 Binary Trees, 2.3 Tree Traversals, 2.4 Binary Search Trees, 2.5 BST Analysis
3.1.1 Balanced BST, 3.1.2 AVL Analysis, 3.2.1 B-Tree Introduction, 3.2.2 B-Tree Insert, 3.2.3 B-Tree Search
4.1 Heap Introduction, 4.2 Heap Insert, 4.3 Heap - RemoveMIN, 4.4 Heap - buildHeap, 4.5 Heap - Runtime Analysis
Course: Recommender Systems:  Evaluation and Metrics
Modules:
Introduction to Evaluation and Metrics, The Goals of Evaluation
Hidden Data Evaluation, Prediction Accuracy Metrics, Decision Support Metrics, Rank-Aware Top-N Metrics, Assignment Intro Video
Beyond Basic Evaluation, Additional Item and List-Based Metrics, Experimental Protocols, Unary Data Evaluation, Temporal Evaluation of Recommenders (Interview with Neal Lathia), Programming Assignment Introduction
Introduction to Online Evaluation and User Studies, Usage Logs and Analysis, A/B Studies (Field Experiments), User-Centered Evaluation (Interview with Bart Knijnenburg)
Matching Evaluation to the Problem/Challenge, Case Examples, Assignment Intro Video
Course: Strategic Healthcare Workforce Management
Modules:
Meet Your Faculty: Adam Powell, Module Overview, Lesson 1: Why Shortages Exist, Lesson 2: How Environment Impacts Demand, Mayo Clinic Spotlight: Workforce Planning, Lesson 3: Leaders Accountable for Maintaining Workforce, Lesson 4: Overview of a MSDP, Lesson 5: Why MSDPs are Needed, Module Wrap-Up
Module Overview, Lesson 1: Determining Workforce Size, Lesson 2: Forecasting Workforce, Lesson 3: Workforce Capacity, Lesson 4: Determining PSA and SSA, Lesson 5: Accounting for Overlap, Lesson 6: Determining Population, Lesson 7: Determining the Effective Population and Demand for a Specialty, Lesson 8: Assessing Market Share
Module Overview, Lesson 1: Why CHNAs are Written, Lesson 2: Components of a CHNA, Lesson 3: How CHNAs Can Be Used to Understand Workforce Needs, Lesson 4: Public Data Sources, Module Wrap-Up
Module Overview, Lesson 1: Developing Interview Questions, Lesson 2: Deciding Who to Interview, Lesson 3: Writing a Survey for Workforce Planning, Lesson 4: Adjusting the MSDP Based Upon Survey and Interview Findings, Module Wrap-Up
Course: Measurement – Turning Concepts into Data
Modules:
Welcome to the Course!, Levels of Measurement, Transforming Variables, Unit of Analysis
Conceptual Definitions, Operational Definitions, Measurement Models
Survey Sampling, Question Wording, Response Categories, Question Order, Survey Evaluation
Measurement Error, Reliability, Validity
Course: Competitive Interactions and Disruptive Change
Modules:
Benchmarking, The Prisoner Dilemma, Price War Logic, Disruptive Change, Impact of Disruptive Change
Course: The Final Solution to the Jewish Question
Modules:
The Place of the "Final Solution" in the Holocaust, Antisemitism: From Its Origins to the Rise of Nazism, The Rise of the Nazi Party to Power and Its Consolidation, Nazi Ideology, The Place of Antisemitism in Nazi Ideology, Structure of the Nazi Regime and Its Political Dynamics, Anti-Jewish Measures in Prewar Nazi Germany, The November Pogrom (Kristallnacht) and Its Context, German Public Opinion in the 1930s, Adolf Eichmann in Central Agency for Jewish Emigration in Vienna, Beginning of World War II, Terror in Occupied Poland, Place of the Ghettos in the "Final Solution", "Poland as a Laboratory"
Operation Barbarossa and the Beginning of the Systematic Murder of the Jews, World War II: The Turning Point, Nazi Anti-Jewish Measures Until March 1942, How the "Final Solution" Came About: A Functionalist Analysis, How the "Final Solution" Came About: A Neo-Intentionalist Analysis, How the "Final Solution" Came About: The Impact of Euphoria of Victory, How the "Final Solution" Came About: "The Four Pieces of the Puzzle", How the "Final Solution" Came About: The Chronology of the Decision-Making Process Between 1938 and 1942
The Course of the War from March 1943 Until Its End, The Persecution of Jews Until the End of the War, "What Would the Führer Do?", Hitler as the Personification of the Ideological Imperative, Development of Auschwitz and Its Place in the "Final Solution", The Deportation Mechanisms, The German National Railway in the "Final Solution", The Place of the Wehrmacht in the "Final Solution", The Ministry of Foreign Affairs of  Nazi Germany in the Implementation of the “Final Solution”, The Role of German Industries in the "Final Solution", "Ordinary Germans"
The "Final Solution" in Local Context: Introduction, The "Final Solution" in Local Context: Serbia and Croatia, The "Final Solution" in Local Context: Greece, The "Final Solution" in Local Context: France, The "Final Solution" in Local Context: Romania, The "Final Solution" in Local Context: Hungary, The "Final Solution" in Local Context: Italy, Local Populations During the Years of the "Final Solution", Local Populations During the "Final Solution", The Communal Aspect of the "Final Solution", Local Police Forces During the Years of the "Final Solution", The Place of Looting in the "Final Solution"
"Ordinary Men", Other Victims of the Nazi Regime, What Did the Jews of Europe Know?, Jewish Resistance During the "Final Solution", Jewish Councils and the "Final Solution", The Function of Forced Labor in the “Final Solution”, Forced Labor in the "Final Solution", What Did the West Know?, What Did the Vatican Know?, What Did the Germans Know?
Course: Analisar os dados para responder às perguntas
Modules:
Introdução à organização, O processo de análise, Ayanna: absorvendo tudo, Sempre uma demanda por organização, Mais informações sobre classificação e filtragem, Como classificar conjuntos de dados, A função SORT, Emma: uma jornada a uma carreira de sucesso, Como classificar consultas no SQL
Primeiros passos na formatação de dados, De um tipo para outro, Validação de dados, Formatação condicional, Combinar e multiplicar fontes, Strings em planilhas, O que fazer quando estiver travado, Layla: Tudo sobre a fase de análise, Tem desafios pela frente? Não se preocupe!, Quando mudar de ferramenta
Agregar dados para análise, Como se preparar para a VLOOKUP, A VLOOKUP na prática, Como identificar erros comuns de VLOOKUP, Noções básicas sobre JOIN, COUNT e COUNT DISTINCT, Consultas dentro de consultas, Como usar subconsultas para agregar dados, Justin: até onde você pode ir com a análise de dados
​Cálculos de dados, Fórmulas de cálculo comuns, Funções e condições, Funções compostas, Comece trabalhando com tabelas dinâmicas, Continuação das tabelas dinâmicas, Consultas e cálculos, Incorporando cálculos simples no SQL, Cálculos com outras instruções, Verifique e verifique novamente, Tabelas temporárias, Várias variações de tabela, Parabéns!
Course: Ethical Issues in Data Science
Modules:
Introduction to Ethical Issues in Data Science: Part 1, Introduction to Ethical Issues in Data Science: Part 2, Ethical Foundations I, Ethical Foundations II, Week 1: Review and Reflect
Internet Background and Implications for Privacy and Security, Privacy: Part 1, Privacy: Part 2, Security, Causes and Types of Breaches: Part 1, Security, Causes and Types of Breaches: Part 2
Professional Society Codes of Ethics, Contemporary Ethical Issues from Tech Companies: Part 1, Contemporary Ethical Issues from Tech Companies: Part 2, Sharing Experiences of Data Science / Computing Professionals
Perspectives on Algorithmic Bias: Part 1, Perspectives on Algorithmic Bias: Part 2, Algorithmic Bias Related to Gender and Race: Part 1, Algorithmic Bias Related to Gender and Race: Part 2, Facial Recognition: Part 1, Facial Recognition: Part 2
Data Science in Health Care: Part 1, Data Science in Health Care: Part 2, Gene Editing and Neurological Interventions: Part 1, Gene Editing and Neurological Interventions: Part 2, The Future of Work: Part 1, The Future of Work: Part 2
Course: Optimizing Your Workflow with GitHub Copilot and VS Code
Modules:
Introduction to Building a Simple Pomodoro Timer Using GitHub Copilot, Setting Up Your Next.js Environment, Guided Tutorial: Designing the Timer Interface, Hands-On Activity: Implementing Core Timer Functionality—Part 1, Hands-On Activity: Implementing Core Timer Functionality—Part 2, Refactoring for Efficiency and Readability, Developing with GitHub Copilot and VS Code
Utilizing Copilot for Code Translation, Hands-On Activity: Code Translation Using Copilot, Utilizing Copilot for Code Comprehension, Hands-On Activity: Code Analysis Using Copilot, Utilizing Copilot for Debugging, Hands-On Activity: Debugging Using Copilot
Course: Observability in Google Cloud - Español
Modules:
Introducción al curso
Descripción general del módulo, Introducción al Agente de operaciones, Recursos que no son VM, Cloud Operations para GKE, Google Cloud Managed Service para Prometheus, Exposición de métricas definidas por el usuario, Resumen del módulo
Descripción general del módulo, Registros de flujo de VPC, Registro de reglas de firewall, Registros del balanceador de cargas, Registros de Cloud NAT, Duplicación de paquetes, Network Intelligence Center, Resumen del módulo
Introducción al módulo, Error Reporting, Trace, Profiler, Resumen
Descripción general del módulo, Costos y precios, Estimación de facturación, Prácticas recomendadas para controlar los costos, Repaso
Resumen del curso
Módulo 1: Configura los servicios de Google Cloud para la observabilidad, Módulo 2: Supervisa la red de Google Cloud, Módulo 3: Investiga los problemas de rendimiento de las aplicaciones, Módulo 4: Optimiza los costos de supervisión
Course: Autoliderazgo y gestión de emociones para avanzar en desafíos complejos
Modules:
¿Por cuál camino te quieres ir?, Sobre el curso autoliderazgo y gestión de emociones para avanzar en desafíos complejos, Ser testigo de ti mismo y parada para respirar por Sandra Camacho, Herramientas de auto-observación y auto-reflexión por Alejandro Sanz, La visión que tenemos sobre liderazgo, ¿Qué quiere decir autoliderazgo? parte I - Maite, ¿Cómo descubrir tus valores orientadores? por Jairo Villegas, Cierre del módulo 1, Decisiones vitales por Francisco Afanador, Arqueología emocional por Alejandro Builes
¿Qué opinaría tu junta directiva sobre el tema que debes trabajar?, ¿Qué es un proceso de transformación personal? Por Fernando Escallón, La espiral de autoliderazgo- Parte 1, Ejemplo de Maite-Parte 1, La espiral de autoliderazgo (parte 2), Ejemplo de Maite- Parte 2, La espiral de autoliderazgo- Parte 3, Ejemplo de Maite- Parte 3, Cierre del módulo 2, La muerte como catalizador de decisiones de vida por  Carlos Caballero
La historia de un secuestro emocional, Emociones y razón, Neuroliderazgo por Felipe Bozzo Smith, La biología de las emociones por Francisco Afanador, Herramientas para lidiar con emociones inesperadas, Aumenta tu auto-conciencia y auto-regulación, Hijos y miedo por Nano Escallón, Hijos y duelo por Héctor Hernández, La línea de vida, El traje de la víctima, El traje del héroe, El traje del aprendiz, Algunas conclusiones sobre los trajes típicos, El Poderoso traje del Amor por Sebastian Quirmbach, De elegir a crear, Emociones en el aula por Rosalía Castro, Entender mis emociones por Alejandro Builes
¿Cómo crear el traje emocional que necesitas en situaciones exigentes?, Herramientas de Programación Neurolinguistica, Identificar la mala receta, Crear la buena receta, Ir al sitio de recarga y sustituir la mala por la buena, Gestión de emociones en situaciones extremas por Sandra Camacho, Hambres, hábitos y necesidades, Cierre del módulo y del curso, Vulnerabilidad por Alejandro Builes, Recursos emocionales en los olímpicos por Javier Careaga
Course: Trabajar con datos en iOS
Modules:
Por qué los datos son importantes para las aplicaciones móviles, Introducción al curso, ¿Por qué es importante mantener organizados sus proyectos de iOS?, Lo que sabe sobre HTTP, RESTfulness, Convenciones de nomenclatura, Herramientas esenciales para el desarrollo de API, Prácticas recomendadas de REST, Seguridad y autenticación en la API de REST, Control de acceso, Resumen del módulo: Introducción a las API de REST
Contacto con servidores, protocolo HTTP y llamadas asíncronas, Protocolo HTTP y llamadas asíncronas en acción, Introducción a JSON, Trabajar con JSON, Obtención de imágenes, Resumen del módulo: API de REST
¿Qué es Core Data?, Entidades y relaciones de Core Data, Entidades, contextos y relaciones, Usar clases con Core Data, Resumen de SwiftUI y State, Conectar Core Data al estado de la interfaz de usuario, Filtrar datos en Core Data, Ordenar datos en Core Data, Resumen del módulo: Datos en Swift
Resumen del curso: Trabajar con datos en iOS, Resumen del curso
Course: 머신 러닝: 회귀 모델
Modules:
환영합니다!, 강의에서는 무엇을 다루나요?, 강의 전반부 개요, 강의 후반부 개요, 필요한 배경지식
주택 가격 예측 사례 연구, 회귀 기초: 데이터 및 모델, 회귀 기초: 작업, 회귀 ML 블록 다이어그램, 단순 선형 회귀 모델, 주어진 선을 사용할 때의 비용, 적합선의 사용, 적합선의 해석, 최소제곱 최적화 목적 함수의 정의, 분석적으로 최댓값 또는 최솟값 찾기, 1D 함수의 최대화: 모범 예시, 언덕 등반을 통한 최댓값 찾기, 언덕 하강을 통한 최솟값 찾기, 학습률 및 수렴 기준의 선택, 하강: 다차원 도함수, 경사 하강: 다차원 언덕 하강, RSS의 경사 계산, 접근 방법 1: 폐쇄형 해, 접근 방법 2: 경사 하강, 접근 방법의 비교, 높은 레버릿지 지점의 영향: 데이터의 탐색, 높은 레버릿지 지점의 영향: 도심의 제거, 높은 레버릿지 지점의 영향: 고급 도심의 제거, 비대칭 비용 함수, 간단한 복습
다중 회귀 도입, 다항 회귀, 모델링 계절성, 계절성을 볼 수 있는 곳, 입력이 하나인 일반 특성의 회귀, 다중 입력 사용의 동기 부여, 표기법의 정의, 다중 입력 특성의 회귀, 다중 회귀 적합의 해석, 벡터 표기법으로 단일 관측치 모델 다시 쓰기, 행렬 표기법으로 모든 관측치에 대한 모델 다시 쓰기, D-차원 곡선의 비용 계산, RSS의 경사 계산, 접근 방법 1: 폐쇄형 해, 폐쇄형 해 토론, 접근 방법 2: 경사 하강, 특성별 업데이트, 경사 하강 접근 방법의 알고리즘 요약, 간단한 복습
성능 평가 도입, ‘손실’이란 무슨 뜻일까요?, 학습 오차: 훈련 세트에 대한 오차 평가, 일반화 오차: 어디에 이용할까요, 시험 오차: 무엇을 계산할 수 있을까요, 과적합의 정의, 학습/검정 분리, 기약 오차 및 편향, 분산 및 편향-분산 트레이드오프, 오차 및 데이터양, 오차의 세 가지 원인에 대한 공식적인 정의, 오차의 세 가지 원인에 대한 공식적인 도출, 모델 선택, 피팅 및 평가에 대한 학습/검증/검증 분리, 간단한 복습
다항 회귀에서의 과적합 증상, 과적합 데모, 보다 일반적인 다중 회귀 모델의 과적합, 적합도 및 계수의 크기 균형 조절, 결과 릿지 목적 함수와 극한 해결책, 릿지 회귀가 편향 및 분산의 균형을 맞추는 방법, 릿지 회귀 데모, 릿지 계수 경로, 릿지 목적 함수의 경사 계산, 접근 방법 1: 폐쇄형 해, 폐쇄형 해 토론, 접근 방법 2: 경사 하강, 교차 검증을 통한 조정 매개변수 선택, K 겹 교차 검증, 편향 값 처리 방법, 간단한 복습
특성 선택 태스크, 모든 부분 집합, 모든 부분 집합의 복잡도, 탐욕 알고리즘, 탐욕 전진적 단계 알고리즘의 복잡도, 특성 선택에도 정규화를 사용할 수 있을까요?, 임계처리 릿지 계수?, 라쏘 목적 함수 및 그 계수의 경로, 릿지 비용의 시각화, 릿지 해의 시각화, 라쏘 비용 및 해의 시각화, 라쏘 데모, 라쏘 목적 함수의 차이, 좌표 하강, 특성의 정규화, 최소제곱법에 대한 좌표 하강(정규화된 특성), 라쏘에 대한 좌표 하강(정규화된 특성), 수렴 및 기타 라쏘 솔버 평가, 라쏘에 대한 좌표 하강(정규화되지 않은 특성), 라쏘 좌표 하강 업데이트 도출, 페널티 강도 및 라쏘와 관련된 기타 실질적인 문제 선택, 간단한 복습
모수 회귀의 한계, 1-최근접 이웃 회귀 접근 방법, 거리 행렬, 1-최근접 이웃 알고리즘, k-최근접 이웃 회귀, k-최근접 이웃 실습, 가중 k-최근접 이웃, 가중 k-NN 회귀부터 커널 회귀까지, 모수 모델의 글로벌 피팅 및 커널 회귀 분석의 로컬 피팅, 데이터양 증가에 따른 NN의 성능, 고차원, 데이터 희소성 및 연산 복합성 문제, k-NN 분류, 간단한 복습
단순 및 다중 회귀, 성능 및 릿지 회귀의 평가, 특성 선택, 라쏘, 최근접 이웃, 지금까지 다룬 내용과 다루지 않은 내용, 감사합니다!
Course: Wireframes und Low-Fidelity-Prototypen Erstellen
Modules:
Einführung in Kurs 3: Wireframes und Low-Fidelity-Prototypen erstellen, Karen – Mein Weg zum UX-Design, Willkommen bei Woche 1, Studien zur Verbesserung der Ideenentwicklung nutzen, Craig – Forschung bildet die Grundlage für die Ideenentwicklung in der realen Welt, Zielbeschreibungen erstelle, Einführung in User Flows, Einführung in das Storyboarding von User Flows, Die zwei Arten von Storyboards verstehen, Einführung in Wireframes, Mit dem Zeichnen beginnen, Ihren ersten Wireframe erstellen, Die Vorteile von Wireframing verstehen, Zusammenfassung: Storyboarding und Wireframing
Willkommen zu Woche 2, Grundlagen der Informationsarchitektur (IA), Papier-Wireframes erstellen, Von Wireframes auf Papier zu digitalen Wireframes übergehen, Einführung in Figma, Digitale Wireframes in Figma erstellen, Optional – Von Figma lernen: Wireframes für eine App erstellen, Erika – Ihre Arbeitsmittel, Gestaltprinzipien bei der Erstellung von Wireframes verwenden, Zusammenfassung: Wireframes auf Papier und digital erstellen
Willkommen zu Woche 3, Mehr über Low-Fidelity-Prototypen erfahren, Prototypen aus Papier erstellen, Einführung in das Erstellen von Low-Fidelity-Prototypen in Figma, Low-Fidelity-Prototypen in Figma erstellen, Optional – Von Figma lernen: Prototypen erstellen, Implizite Voreingenommenheiten im Design erkennen, Ayan – Voreingenommenheit in der UX-Designarbeit, Irreführende Muster im UX-Design identifizieren, Die Auswirkungen von irreführenden Designs untersuchen, Priya – Die Bedeutung von inklusiven Designs, Zusammenfassung: Low-Fidelity-Prototypen erstellen, Herzlichen Glückwunsch zum Abschluss von Kurs 3: Wireframes und Low-Fidelity-Prototypen erstellen
Course: The Bible's Prehistory, Purpose, and Political Future
Modules:
Course Introduction, Introduction, Defeat and the Response to Defeat, The Oldest Reference to Israel, The Centers of Civilization, The Levant as a Land Bridge, Egypt's Presence in Canaan During the New Kingdom, The End of Egyptian Imperial Control, Map Module, Dever Interview
Introduction, Israel and Judah, Omride Dynasty, Fall of Israel, The Kingdom of Judah, Fall of Judah, Younger Interview, Darby Interview, Vaughn Interview, Biblical Narrative: Building a History, Israel in Canaan, The Rise of the Kingdoms, Exploring the Material Culture, The Nature of the Kingdoms, Office Hours Modules 1-2
Introduction, Part 1: Judah After the Babylonian Conquest, Part 2: Factors Leading to Depopulation, A Judahite Community in Egypt, Judahite Communities in Babylon, The Return to Zion, Introduction to the Biblical Project, From the Bible to the Sumerian King List, Analyzing a Biblical Text: Genesis 26, A Closer Look at Genesis 26, Interweaving Sources, Compositional Theories, Division of the Books: Organizing a History, Doctoral Student Aubrey Buster, Epigrapher and Professor Christopher A. Rollston
Introduction, The Biblical Authors Reinvent the Hero, Commemorating the Fallen Soldiers, The Glorified Death of the Fallen Warrior, The Bible’s Treatment of Heroic Death, Death in the Bible, Biblical Law Codes and Procreation, The Preservation of the People, Interview with Tamara Cohn Eskenazi, Part 1, Interview with Tamara Cohn Eskenazi, Part 2, Interview with Tamara Cohn Eskenazi, Part 3, Conclusion
Introduction, The Bible as an Educational Curriculum, The Educational Ideals of the Bible, Education Reform in the Face of Defeat, From State Secrets to Open Access and National Literature, Divination and Prophecy in Mesopotamia, Biblical Prophets and the Throne, The Reasons for the Differences, Holding Priests in Check, Breed Interview, Manzer Interview, Eskenazi Interview Pt. 1, Eskenazi Interview Pt. 2
What We've Learned in This Course, Three Distinct Qualities, Peoplehood as a "Plan B", The Emergence of a Pan-Israelite Identity, Why Does the Bible Originate in Israel and Judah?, A Communal Pact Under Persian Rule, Hope in Divine Judgement: From Treaty to Covenant, The Interpersonal Ethics of Covenant, Concluding Reflections: The Bible's Future, Sweeney Interview, Part 1, Sweeney Interview, Part 2, Sweeney Interview, Part 3, O'Connor Interview, Wolpe Interview, Office Hours Modules 3-6
Course: The Art of Vocal Production
Modules:
A Note From Prince Charles, Download Pro Tools Intro or the FREE Demo Version [Optional], Course Resources, Earn A Course Certificate
Singing, Vocal Range, Vocal Registers, Voice Type, Equalization (EQ), Dynamics Processing, Vocal Mix Placement, Vocal Mixing in a DAW, Natural Doubling, Multiple Vocals, A Single Vocal Copied, Two Vocals in Phantom Center, Natural Widening, Two Vocals Panned, Three Vocals Center Panned, Four Vocals Panned, Five Vocals Center Panned Cascaded, Six Vocals Center Panned Cascaded, Four Stack Harmony
Introduction to Time Based Effects, Time Based Effects in a DAW, Introduction to Artificial Widening, Artificial Widening in a DAW, Introduction to Artificial Doubling, Artificial Doubling in a DAW, Introduction to Slapback, Slapback in a DAW, Introduction to Echo, Echo in a DAW, Introduction to Mono and Stereo Delays, Delays in a DAW, Introduction to Reverb, Reverb in a DAW, More Effects, And More Effects
Basic Audio Editing, Basic Audio Editing in a DAW, Time Based Audio Editing, Time Based Editing in a DAW, Tempo Based Audio Editing, Tempo Based Editing in a DAW, Basic Audio Sampling, Audio Sampling in a DAW, Elastic Audio, Elastic Audio in a DAW, Flex, Flex in a DAW, ReVoice, ReVoice in a DAW
Filters, Four Filters in DAW, Megaphone Effect, Electric Megaphone, Talkbox, Vocoder, Introduction to Autotune, Autotune in a DAW, Melodyne, Melodyne in a DAW
Course: Understanding Corporate Communications
Modules:
Welcome and Introduction to the Instructor, Course Overview, Overview of the Corporate Communications Function, Importance of Effective Communications in Organizations, Key Stakeholders in Corporate Communications, Role of Corporate Communications in Achieving Organizational Goals, Strategies for developing and implementing internal communication plans, Effective use of various channels for internal communications, Engaging employees through effective communication, Building a positive organizational culture through internal communications, Understanding the Role of media in corporate communications, Crafting key messages and press releases, Managing media relationships and interviews, Dealing with media crises and reputation management, Preparing for and managing communication during a crisis, Crisis communication strategies and best practices, Crisis communication team roles and responsibilities, Maintaining transparency and building trust in times of crisis, Conclusion
Course: Implementing Security in IoT and Edge Devices
Modules:
Welcome to the Course!, IoT in Edge Computing: Security Implications and Challenges, Security Aspects for IoT Devices in Edge Networks, More Security Aspects for IoT Devices in Edge Networks, Common Vulnerabilities in IoT Devices and Their Implications, Common Vulnerabilities in IoT Devices and Their Implications continued, IoT Device Vulnerabilities in Different Network Environments
Fundamentals of Hardware Security, Common Encryption Techniques in IoT and Edge Device Data, The Importance of Hardware Security, Meltdown and Spectre Vulnerabilities and Ripple20, Approaches to IoT and Edge Device Security Design, IoT and Edge Security Best Practices, Testing and Validation of Security Measures
Privacy Challenges in IoT and Edge Networks, Compliance and Regulatory Considerations in IoT and Edge Computing Privacy, Overview of Privacy Risk Assessment in Designing Privacy for IoT and Edge Computing, Case Study: Privacy-Enhanced IoT Devices for Healthcare Monitoring
Course: Statistical Thermodynamics: Molecules to Machines
Modules:
Module 1.1: Classical Mechanics, Module 1.2: Quantum Mechanics, Module 2.1: Classical Thermodynamics, Module 2.2: Phase Equilibrium
Module 3.1: Statistics, Module 3.2: Statistical Thermodynamics
Module 4.1: Non-Interacting Systems: Two-level System, Module 4.2: Non-Interacting Systems: Ideal Gas, Module 4.3: Non-Interacting Systems: Electrons, Module 4.4: Non-Interacting Systems: Phonons, Module 4.5: Non-Interacting Systems: Photons
Module 5.1: Ising Model: Introduction, Module 5.2: Ising Model: Mean-field Approximation, Module 5.3: Ising Model: Fluctuations
Module 6.1: Water: Two-phase model, Module 6.2: Water: Unique properties, Module 7.1: Polymers
Module 8.1: Photosynthesis, Module 9.1: Classical Liquids, Module 9.2: Classical Liquids: Measurement
Module 10.1: Adsorption: Non-interacting adsorbates, Module 10.2: Adsorption: Interacting adsorbates, Module 11.1: Electrolytes, Office Hours
Thank You
Course: Análisis de Sistemas Eléctricos y Transición Energética
Modules:
Bienvenida al curso, El sistema eléctrico de potencia en el contexto de la transición energética.
Tecnologías para la integración FNCER, Tecnología de inversores de electrónica de potencia en la conexión de las FNCER, Sistemas de almacenamiento de energía electrica para sistemas de ditribución
Requerimientos para la conexión de FNCER en sistemas de transmisión
Análisis de fallas en sistemas electricos de distribución con generación distribuida, Parte 1: Instrucciones de Instalación Anaconda caso de estudio, Parte 2: Caso de estudio de impacto de GD en fallas y cómo usar ML., Integración económica de Vehiculo electrico en redes de distribución con penetraciòn de energìas renovables no convencionales., Cierre curso
Course: Hands-On .NET Minimal API for Web Developers
Modules:
Welcome and About This Course, Project Overview: eCampusConnect Minimal Web API
Introduction, What Are Minimal APIs?, Need for Minimal APIs, Minimal APIs Versus Controller APIs, Step 1: Check the Prerequisites, Step 2: Create a New Web Project, Understanding the Map Method
Introduction, Step 3: Add an endpoint, Step 4: Add Data Models, Step 5: Add Database Context Class, Step 6: Add Dependency Injection, Step 7: Implement the GET Operation to Fetch All Items
Introduction, Returning the Results in Minimal API, Step 8: Update GET Operation to Use Results, Returning the Results Asynchronously, Step 9: Update GET Operation to Use Async
Introduction, Step 10: Implement POST Operation to Add a New Item, Step 11: Add DTO Models, Step 12: Add AutoMapper to Map Data and Input Models, Step 13: Use AutoMapper to MapPost Method, Using Attributes in Map Methods, Step 14: Handle Exceptions
Introduction, Step 14: Implement GET Operation to Fetch a Single Item, Step 15: Implement PUT Operation to Update an Existing Item, Implement DELETE Operation to Delete an Existing Item
Conclusion
Course: Preventative Healthcare for the Newborn Baby
Modules:
Welcome to the Newborn Baby Care Specialization, Introduction: Preventative Care for the Newborn baby, Normal Bilirubin Metabolism, Causes of Jaundice, Identifying Jaundice and Kernicterus, Measuring Bilirubin Levels, Treating Hyperbilirubinemia to Prevent Kernicterus, Phototherapy Treatment
Why Is Newborn Screening Important?, Degrees and Implications of Hearing Loss, Newborn Hearing Screening and Types of Hearing Screening, What Happens Next After a Newborn Hearing Screening?, Treatments for Hearing Loss, No Access to Newborn Hearing Screening
Introduction to Newborn Screening, Blood spot Screening, Hemoglobinopathies, Metabolic Diseases, Process and Wrap-up of Blood Spot Screening
Description of Critical Congenital Heart Disease (CCHD), Comparison of Fetal and Baby Blood Flow, Using Pulse Oximetry to Screen for CCHD
Vitamin K, Vitamin K Deficiency Bleeding (VKDB), Hepatitis B, Erythromycin