dipopotamus/custom_instruct_coursera_course_module_list huggingface dataset:
Course: Studying Cities: Social Science Methods for Urban Research
Modules:
Introduction to Week, Problem Statement, Research Objective / Empirical Cycle, Research Question, Testimonial 1 - Introduction to Julia's research
Introduction Video, Knowing What is Known: Literature Review, Conceptualisation, Conceptual Framework, Operationalization
Introduction to Research Strategies, Strategy Validity and Reliability, Surveys, Experiments, Quasi Experiments, Case Studies - Defining a case study and when to use it, Case Studies - Types of case studies, Desk Research, Hanna's Testimonial: Researching commuting to work by bicycle in Rotterdam., Hanna's Testimonial: Choosing a suitable strategy
Introduction Video, Sampling, Primary Quantitative Data Collection, Secondary Quantitative Data Collection, Primary Qualitative Data Collection - Part One, Primary Qualitative Data Collection - Part Two, Constructing a Questionnaire, Administering a Questionnaire, Preparing and Conducting Interviews
Introduction Video, Qualitative Data Analysis: Data Management, Qualitative Data Analysis: Introduction to Coding, Qualitative Data Analysis: Tips for Coding, Qualitative Data Analysis: How to analyse the data, Qualitative Data Analysis: Reliability and Validity, Data Analysis: Primary Quantitative Data Analysis, Primary and Secondary Quantitative Data Preparation, Data Analysis: Secondary Quantitative Data Analysis, Data Analysis: Quantitative Data Analysis
Course: Introducción a la Gestión de Operaciones
Modules:
Logística del curso, Cuatro dimensiones de desempeño operacional, Las compensaciones y la frontera eficiente
Tasa de flujo, inventario, y el flujo de tiempo, Encontrando el cuello de la botella, Costo de mano de obra y la utilización de mano de obra, La ley de Little, Rotación de inventario, Hacer para abastecer vs hacer a la orden / Motivos de Inventario, Tratando con múltiples unidades de flujo, Revisión de Análisis de Procesos
Introducción a la productividad, El Taylorismo, Las siete fuentes de residuos, Valor financiero de la productividad, Indicadores clave de desempeño y graficas ICD, Equipo de eficacia general, Tiempo takt, Análisis decuartillas, Proporción de productividad, Revisión de Productividad
Razones de defectos, La calidad y el flujo, Seis Sigma, Los gráficos de control, Jidoka (Sistema de Producción Toyota), Resolución de problemas, Sistema de Producción Toyota, Módulo 4 Revisión, Razones de Variedad, Cálculos de capacidad con configuraciones, Producción Modelo Mixto, Elección de tamaño de un lote, La fragmentación de la demanda y Fondo Común de Reserva, Flexibility, Plataformas y modularidad, Límites a la elección del cliente, Revisión del Módulo Variedad, Introducción a los modelos de espera, La fórmula de tiempo de espera, Modelos de tiempo de espera con múltiples servidores, Fondo común de reserva, Secuenciación, Diseño de procesos, Modelos de pérdida, Revisión del Módulo capacidad de respuesta
Course: Defensive Python
Modules:
Introduction to Defensive Python, Brute-Force Detection with Windows Events, Detecting FTP Brute Force with Scapy, Detecting SSH Brute Force with Scapy, Feature Selection for Traffic Analysis, Detecting Anomalous Network Traffic with Scapy, Connection Hijacking with Scapy
Course: Custom Models, Layers, and Loss Functions with TensorFlow
Modules:
A conversation with Andrew Ng: Overview of the specialization, A conversation with Andrew Ng: Overview of course 1, Welcome to the course, Introduction to the Functional APIs, Declaring and stacking layers, Branching models, Creating a Multi-Output model, Multi-Output code walkthrough, Siamese network: a Multiple-Input model, Coding a Multi-Input Siamese network, Siamese network code walkthrough
Welcome to Week 2, Creating a custom loss function, Coding the Huber Loss function, Huber Loss code walkthrough, Adding hyperparameters to custom loss functions, Turning loss functions into classes, Huber Object Loss code walkthrough, Contrastive Loss, Coding Contrastive Loss
Intro custom layers, Introduction to Lambda Layers, Custom Functions from Lambda Layers, Exploring custom Relu with Lambda Layers, Architecture of a Custom Layer, Coding your own custom Dense Layer, Training a neural network with your Custom Layer, Custom Layer code walkthrough, Activating your Custom Layer, Custom Layer with activation code walkthrough
Intro to custom models, Complex architectures with the Functional API, Coding a Wide and Deep model, Using the Model class to simplify architectures, Understanding Residual networks, Coding a Residual network with the Model class, ResNet code walkthrough
Built-in Callbacks, Custom Callbacks, Custom Callbacks code walkthrough
Course: Evidence-based Toxicology
Modules:
Welcome, Introduction to the Course, Introduction, Shortcoming No. 1: Narrative Reviews, Shortcoming No. 2: Bias in Reviews, Shortcoming No. 3: Evidence Writing, Shortcoming No. 4: External Validity, Shortcoming No. 5: Assessing New Methods, Shortcoming No. 6: Inadequate Reporting
Welcome to Module 2, Personal First Exposures to Evidence-Based Medicine, The Start of EBT, The First Conference 2007 to the Start of the EBT Collaboration 2011, The Evidence-Based Toxicology Collaboration (EBTC), Introduction Causation vs. Correlation, The Hill Principles of Epidemiology and their Relation to Toxicology, The Problem of Causation in Toxicology, Biomarker Concept in Mechanistic Toxicology, Mechanistic Validation, The Future of Causation in Complex Systems
Welcome to Module 3, Systematic Reviews: Definition and Principles, Systematic Reviews - Protocol Development, Systematic Reviews - Protocol Development (Part 2), History, Meta-analysis Guidelines, Meta-analysis Protocol, Part 1, Meta-analysis Protocol, Part 2
Welcome to Module 4, Introduction to Risk of Bias Concept in Critical Appraisal of Studies, Examples for Risk of Bias Tools 1: Cochrane Collboration, Examples for Risk of Bias Tools 2: SYRCLE's RoB Tool, Examples of Risk of Bias Tools 3: National Institute for Environmental Health Sciences (NIEHS) - OHAT, Quality Assessment in Evidence-Based Toxicology, Evidence-Based Toxicology (EBT) and Evidence-Based Toxicology Collaboration (EBTC), Zebrafish Systematic Review
Welcome to Module 5, The Concepts of Quality Assurance (QA) and Good Practice (GP), Good Practice, Quality Assurance, Importance of GP and QA in EBT, The Evolution of Validation of Alternative Methods, The Traditional Validation Process, Example of a Validation Study: Skin Irritation, Developments in the Validation Area, Validation and Tox-21c/EBT
Welcome to Module 6, Why We Need Biometry/Statistics in Evidence-Based Toxicology, Statistics and Bioinformatics Applied in Evidence-Based Approaches I, Statistics and Bioinformatics Applied in Evidence-Based Approaches II, Risk and Bias and Its Impact on Evidence-Based Approaches, Evidence-Based Is a More Rigorous Scientific Approach to Anything, The Reproducibility Crisis in Science, Where Is Evidence-Based Toxicology (EBT) and What Are The Next Steps?
Systematic Review Assignment Instructions
Course: Liderazgo y comportamiento organizacional
Modules:
Resultados del trabajo, Diseño de trabajo
Personalidad y valores, Estilos de liderazgo
Poder, políticas, Persuasión, influencia
Motivación, Emociones
Course: Goldman Sachs 10,000 Women के साथ, नेतृत्व के मूल सिद्धांत
Modules:
स्वागतम्, आपके बुनियादी मूल्य और मान्यताएँ/ धारणाएँ, महिलाएं किस प्रकार से नेतृत्व करती हैं?, कंपनी की संस्कृति का महत्व, लक्ष्य विवरण को परिभाषित करना
Course: Leading Organizational Change
Modules:
Introduction Video
Leading Organizational Change Introduction (2 minutes), What is Organizational Change Management Lecture (32 Minutes), What is Organizational Change Management Summary (1 minute), Developing a Change Management Communication Framework Lecture (28 minutes), Developing a Change Management Communication Framework Summary (1 minute)
Change Management Strategies Lecture (15 minutes), Change Management Strategies Summary (1 minute), Developing a Change Management Team Lecture (18 minutes), Developing a Change Management Team Summary (1 minute)
Evaluating Change Introduction (1 minute), Establishing and Developing Change Management Performance Evaluations Lecture (21 minutes), Establishing and Developing Change Management Performance Evaluations (20 seconds), Collecting Employee Feedback for Organizational Change Lecture (21 minutes), Collecting Employee Feedback for Organizational Change Summary (1 minute)
Advanced Leadership Skills for the 21st Century Specialization Capstone Project (3 minutes)
Course: Decisions, Decisions: Dashboards and Reports
Modules:
Introduction to Course 3, Terrence: A day in the life as a BI analyst, Welcome to module 1, Data visualization in business intelligence, Empower stakeholders, Plan a dashboard using mockups, Dashboard missteps and how to avoid them, Refresh your Tableau skills, Wrap-up, [Optional] Review Google Data Analytics Certificate content about data visualization
Welcome to module 2, Design trade-offs when building a dashboard, DeAndrea: Business intelligence in action, Start a chart, Organize dashboard elements, Processing speeds and privacy settings, Wrap-up, [Optional] Review Google Data Analytics Certificate content about aggregation, [Optional] Review Google Data Analytics Certificate content about data types, [Optional] Review Google Data Analytics Certificate content about Tableau, [Optional] Review Google Data Analytics Certificate content about dashboards
Welcome to module 3, Complete a dashboard project, Andrea: Power of a BI specialist, Role-play with a stakeholder, Data-driven charts, Erica: How BI tools are put to work, Well-organized dashboards, Dashboard iteration, Wrap-up
Welcome to module 4, Present your insights, The business intelligence professional hiring process, Heather: Personal career journey into BI, Incorporate business intelligence work in your portfolio, Refine your resume, Kelly: Tips for resume preparation, Interview preparation strategies, Wrap-up, [Optional] Review Google Data Analytics Certificate content about presentations, [Optional] Review Google Data Analytics Certificate content about creating a resume
Welcome to module 5, Complete your end-of-course project, Course wrap-up, Tony: Career-building strategies
Congratulations on completing the Google Business Intelligence Certificate!, Program recap, Introducing Google AI Essentials
Course: Sampling People, Networks and Records
Modules:
1.0 - Course Introduction, 1.1 - Research Design and Sampling - Part 1, 1.1 - Research Design and Sampling - Part 2, 1.2 - Surveys and Sampling, 1.3 - Why Sample At All? - Part 1, 1.3 - Why Sample At All? - Part 2, 1.4 - Why Might We Randomize, and How Might We Do It?, 1.5 - What Happens When We Randomize?, 1.6 - How Do We Evaluate How Good a Sample Is?, 1.7 - What Kinds of Things Can We Sample?
2.1 - Simple Random Sampling (SRS), 2.2 - Mere Randomization: A Short History, 2.3 - The SRS Sampling Distribution - Part 1, 2.3 - The SRS Sampling Distribution - Part 2, 2.4 - Sample Size, 2.5 - Margin of Error, 2.6 - Sample Size and Population Size
3.1 - Simple Complex Sampling - Choosing Entire Clusters - Part 1, 3.1 - Simple Complex Sampling - Choosing Entire Clusters - Part 2, 3.2 - Design Effects and Intraclass Correlation - Part 1, 3.2 - Design Effects and Intraclass Correlation - Part 2, 3.3 - Two-Stage Sampling, 3.4 - Designing for Two-Stage Sampling - Part 1, 3.4 - Designing for Two-Stage Sampling - Part 2, 3.5 - Dealing With the Real World - Unequal Sized Clusters - Part 1, 3.5 - Dealing With the Real World - Unequal Sized Clusters - Part 2, 3.6 - Sampling Fraction
4.1 - Forming Groups, 4.2 - Sampling Variance, 4.3 - More On Grouping, 4.4 - Allocate Sample, 4.5 - Other Allocations, 4.6 - Weights to Combine Across Strata
5.1 - Systematic Selection, 5.2 - Intervals With Fractions - Part 1, 5.2 - Intervals With Fractions - Part 2, 5.3 - List Order, 5.4 - Uncertainty Estimation
6.1 - Statistical Software for Sample Selection, 6.2 - Stratified Multistage Sampling, 6.3 - Weights for Over/Under Sampling, 6.4 - Nonresponse & Noncoverage Weighting, 6.5 - Sampling Networks: Multiplicity Weighting, 6.6 - Non-Probability Sampling
Course: Perspectivas de música colaborativa
Modules:
Introducción y bienvenida, Software Libre vs Open Source, El movimiento de cultura libre y su relación con la música, Música con software libre y de código abierto: conversación con Marianne Teixido y Emilio Ocelotl
Producción cultural en la era de Internet, Licencias libres: el caso Creative Commons, Reflexiones sobre arte y música colaborativa, Creative Commons: Conversación con Irene Soria, Actividad por pares 2: Publicación de música con licencia Creative Commons
Live coding: escribir código fuente para generar música y sonido, Música remix, Música en red: interconexión para la creación musical en grupo, Redes de colaboración en la música: conversación con Emilia Bahamonde, José Carlos Hasbun y Luis Alvarado
Distribución de código fuente y circulación de archivos en Internet, Sistema de conexión en red local, Plataformas de música libre, Ventajas de utilizar software libre para proyectos de música colaborativa: conversación con Chema Serralde
Course: Los gobiernos locales como actores internacionales
Modules:
Bienvenida oficial e inducción al tema, Bienvenida y aspectos formativos, Presentación del contenido y estructura del curso
Introducción a la temática, Panorámica general sobre la internacionalización de los gobiernos locales, Ciudad de México, ciudad global
¿Redes representativas o redes operativas? Mercociudades, ¿Redes representativas o redes operativas? El caso AL-LAs
La internacionalización como una política pública de la ciudad, El plan de internacionalización como herramienta estratégica. Mirada Europea
La puesta en cuestión del derecho internacional, ¿Las relaciones intergubernamentales vs. las relaciones internacionales?
Course: Advanced Topics in Derivative Pricing
Modules:
Course Overview, About Us, Academic Honesty Policy
Review of the Binomial Model for Option Pricing, The Black-Scholes Model, The Greeks: Delta, The Greeks: Gamma, The Greeks: Vega, The Greeks: Theta, Risk-Management of Derivatives Portfolios: Greeks Approach, Risk-Management of Derivatives Portfolios: Scenario Analysis, Delta-Hedging, Beyond Black-Scholes: Implied Volatility, Beyond Black-Scholes: Volatility Surface
The Volatility Surface in Action, Why is There a Skew?, The Leverage Effect, What the Volatility Surface Tells Us, Deriving the Marginal Risk-Neutral Distribution Using Volatility Surface, Pricing Derivatives Using the Volatility Surface, Example: Digital Option Pricing, Pricing a Range Accrual, Beyond the Volatility Surface and Black-Scholes 1, Beyond the Volatility Surface and Black-Scholes 2
Introduction to Assignment
Structured Credit: CDOs and Beyond, The Gaussian Copula Model, Computing the Portfolio Loss Distribution, 1-Period CDO Model: Part I, 1-Period CDO Model: Part II, Observations from the 1-Period CDO Model, The Mechanics of a “Synthetic” CDO Tranche, Fair Value of Premium & Default Leg, Fair Value of CDO Tranche, Cash and Synthetic CDOs, Pricing and Risk Management of CDO Portfolios, Challenges in Risk Management of Structured Credit Portfolios, A Brief Aside on Copulas, CDO-Squared's and Beyond
Real Options, Valuation of Natural Gas and Electricity Related Options 1, Valuation of Natural Gas and Electricity Related Options 2, Real Options in Excel
Course: Fundamentos de la Administración con Goldman Sachs 10,000 Women
Modules:
Bienvenida, ¿Por qué son importantes las descripciones de puestos de trabajo?, Seleccionar el candidato, Coaching de desarrollo, Habilidades para delegar tareas, Proceso de administración del rendimiento
Course: Business Implementation and Security
Modules:
Course introduction, Ethereum architecture: Part 1, Ethereum architecture: part 2, Corda architecture: part 1, Corda architecture: Part 2, Hyperledger Fabric architecture: part 1, Hyperledger Fabric Architecture: Part 2
Business continuity or disaster recovery and contract management, Product distribution and monetization, Data access management and retention or deletion, Infrastructure management, Legal and regulatory requirements, Cross-chain communication
Network-level attacks: Part 1, Network-level attacks: Part 2, System-level attacks: Part 1, System-level attacks: Part 2, Alternative distributed ledgers: Part 1, Alternative distributed ledgers: Part 2
Course Wrap-up
Course: Graph Analytics for Big Data
Modules:
Welcome to Graph Analytics for Big Data
What is a Graph?, Why Graphs?, Why Graphs? Example 1: Social Networking, Why Graphs? Example 2: Biological Networks, Why Graphs? Example 3: Human Information Network Analytics, Why Graphs? Example 4: Smart Cities, The Purpose of Analytics, What are the impact of Big Data's V's on Graphs?
Focusing On Graph Analytics Techniques, Path Analytics, The Basic Path Analytics Question: What is the Best Path?, Applying Dijkstra's Algorithm, Inclusion and Exclusion Constraints, Connectivity Analytics, Disconnecting a Graph, Connectedness: Indegree and Outdegree, Community Analytics and Local Properties, Global Property: Modularity, Centrality Analytics, Optional Lecture 1: Bi-directional Dijkstra Algorithm, Optional Lecture 2: Goal-directed Dijkstra Algorithm, Optional Lecture 3: Power Law Graphs, Optional Lecture 4: Measuring Graph Evolution, Optional Lecture 5: Eigenvector Centrality, Optional Lecture 6: Key Player Problems
Welcome to Graph Analytics Techniques, Hands-On: Downloading, Installing, and Running Neo4j, Hands-On: Getting Started With Neo4j, Hands-On: Modifying a Graph With Neo4j, Hands-On: Importing Data Into Neo4j, Hands-On: Basic Queries in Neo4j With Cypher - Part 1, Hands-On: Basic Queries in Neo4j With Cypher - Part 2, Hands-On: Path Analytics in Neo4j Using Cypher - Part 1, Hands-On: Path Analytics in Neo4j Using Cypher - Part 2, Hands-On: Connectivity Analytics in Neo4j With Cypher
Introduction: Large Scale Graph Processing, A Parallel Programming Model for Graphs, Pregel: The System That Changed Graph Processing, Giraph and GraphX, Beyond Single Vertex Computation, Introduction to GraphX: Hands-On Demonstrations, Hands On: Building a Graph, Hands On: Building a Degree Histogram, Hands On: Plot the Degree Histogram, Hands On: Network Connectedness and Clustering Components, Hands On: Joining Graph Datasets
Course: Creating BigQuery Datasets, Visualizing Insights - Español
Modules:
Introducción al curso, Resumen del conjunto de datos de comercio electrónico de Google Analytics
Crear tablas permanentes, Tablas y resultados de consultas temporales, Vista previa del rendimiento: Almacenamiento en caché de consultas, Crear vistas lógicas, Introducción al lab: Cómo crear tablas permanentes y vistas con acceso controlado en BigQuery, Coursera: Empezar a usar Google Cloud y Qwiklabs
Transferir datos nuevos a BigQuery, Introducción al lab: Transfiere nuevos conjuntos de datos a BigQuery
Introducción a las operaciones JOIN y UNION, Usar comodines de tablas que permiten combinaciones fáciles, Vincular datos en varias tablas, Ejemplos de uniones de SQL, Evitar errores cuando combines conjuntos de datos, Resumen del conjunto de datos de comercio electrónico de Google Analytics, Introducción al lab: Unión y combinación de conjuntos de datos
Descripción general de los principios de visualización de datos, Comparar las visualizaciones buenas y malas, Dimensiones, informes y medidas, Introducción a Looker Studio, Introducción al lab: Explora y crea informes con Looker Studio
Resumen del curso
Course: Gemini for Application Developers - 日本語版
Modules:
Gemini for Application Developers の概要, Gemini の支援機能を使用してアプリケーションを開発する, Gemini を使用して Node.js をデプロイする
Course: Introducción a la programación orientada a objetos en Java
Modules:
Introducción al curso, ¿Preparado para comenzar?, Motivación al tema de clases y objetos, Vídeo-clase: Clases y objetos, Clases, Atributos, Asociaciones, Métodos e instrucciones, Objetos, Constructores, Llamado de métodos, Creación de objetos, Caso de estudio de líneas telefónicas, Vídeo-código: Carros, Vídeo-código: Triángulos, Demo de la aplicación final de líneas telefónicas, Explicación arquitectura de proyectos, Vídeo-código: Líneas telefónicas - Parte I, Vídeo-código: Líneas telefónicas - Parte II, Demo final de la aplicación de elecciones, ¿Y ahora qué sigue?
Motivación al tema de arreglos y vectores, Vídeo-clase: Arreglos 1D, Vídeo-clase: Búsquedas especiales, Arreglos y vectores, Instrucciones condicionales, Arreglos 1D, Instrucciones repetitivas, Patrones de recorrido, Vectores, Búsquedas, Arreglos 2D, Caso de estudio del avión, Vídeo-código: Avión - Parte I, Vídeo-código: Avión - Parte II, Vídeo-código: Avión - Parte III, Vídeo-código: Avión - Parte IV, Vídeo-código: Visor Imágenes, Demo de la aplicación final del avión, Demo de la aplicación final del visor de imágenes, Caso de estudio del visor de imágenes, Demo de la aplicación final del avión con películas, ¿Y ahora qué sigue?
Motivación al tema de ordenamiento, Vídeo-clase: Algoritmo de ordenamiento por inserción, Vídeo-clase: Algoritmo de ordenamiento por selección, Vídeo-clase: Algoritmo de ordenamiento burbuja, Algoritmo de selección, Algoritmo burbuja, Algoritmo de inserción, Caso de estudio de muestras numéricas, Vídeo-código: Algoritmo de ordenamiento por inserción, Vídeo-código: Algoritmo de ordenamiento burbuja, Demo de la aplicación final de muestras numéricas, Demo de la aplicación final de exposición canina, ¿Y ahora qué sigue?
Motivación al tema de herencia, Vídeo-clase: Herencia, Tipos de herencia, Atributos compartidos, Sobreescritura de métodos, Caso de estudio de líneas telefónicas, Clases y métodos abstractos, Polimorfismo, Instrucción instanceof, Generics, Interfaces, Colecciones e iteradores, Vídeo-código: Líneas telefónicas, Demo de la aplicación final de líneas telefónicas, Demo de la aplicación final de extensión de líneas telefónicas, ¿Y ahora qué sigue?
Motivación al tema de interfaz gráfica, Demo de la aplicación final del módulo de interfaz gráfica, Entidades del mundo gráfico y de interacción, La ventana principal, Divisiones y páneles, Etiquetas, zonas de texto y botones, Acciones del usuario y eventos de la aplicación, Arquitectura y distribución de responsabilidades, Cierre del curso
Course: Conversational Selling Playbook for SDRs
Modules:
Conversational Selling Playbook for SDRs, Course Introduction: Conversational Selling Playbook for SDRs, Instructor Introduction: Moise Moodie, Introduction to Conversational Selling, The Power of Questions, Building Trust and Credibility When Cold Calling, Achieving Results through Empathetic Listening, The Golden Talk vs. Listening Ratio, Proposing Value and Welcoming Objections, Writing a Value Proposition, Welcoming Objections and Triple-A Responses, Empathize and Challenge: Responding to Objections, Closing through Feedback and Next Steps, Review of Week 1: Learn the Conversational Selling Methodology
The Ideal Customer Profile (ICP), Target Buyers Persona, Working with ICPs and Personas to Achieve Goals, SV Academy Ambassadors: Springboarding Your Tech Career, Lead Generation - List Building and Research, Above-the-Line Prospects, Asking the Right Questions - Introduction to Qualification, Creating an Efficient Prospect Qualification System, Leveraging Data to Drive Activity, Introduction to Sales Economics, Review of Week 2: Generate Leads and Narrow Your Prospect List
Intro to SV Academy's Multi-Channel Mindset, SV Academy Ambassadors: Leveraging Multi-Channel Mindset, Conducting Prospect Outreach by Phone, Effective Selling by Phone with Conversational Selling, How to Leave a Compelling Voicemail, Conversational Selling through Written Communication, PACE Email Prospecting: Conversational Selling through Written Communication, SV Academy Ambassadors: Tips for Email Prospecting, SV Academy Ambassadors: Tips for Email Personalization with Above-the-Line Prospects, Prospect Outreach through Social, SV Academy Ambassadors: Engaging Prospects on LinkedIn, Prospect Outreach through Video, SV Academy Ambassadors: Tips for Video Prospecting, Review of Week 3: Apply Conversational Selling Across Multiple Channels, Introduction to the Mock Company, Peer Review Instructions and Sample - Week 3
Emotional Intelligence (EQ) and the SDR Role, Building Self-Confidence: How to Overcome Challenges, Building and Sustaining Motivation, Focusing on Self-Regulation and Mindfulness, Self-Regulation and Mindfulness Strategies for SDRs, Performing with Empathy, The Importance of Empathy in the SDR Role, Review of Week 4: Get Results with Emotional Intelligence, Peer Review Instructions and Sample - Week 4
Design a Multi-Channel Outreach Approach, Playing the Long Game - The Art of the Campaign, Review of Week 5: Design a Multi-Channel Outreach Approach, Course Review: Conversational Selling Playbook for SDRs, Peer Review Instructions and Sample-Week 5
Course: Lesson | Video Conferencing: Face to Face but Online
Modules:
Basics of Meeting Online
Course: Simulation, Algorithm Analysis, and Pointers
Modules:
Course Introduction, Navigating a Coursera Course, Meet the Instructor (optional), Lesson Introduction, Why Files?, Reading a File, Writing a File, Appending to a File, Lesson Introduction, What is Automation?, Turning Up the Heat, Who You Gonna Call?, Who's Hungry?, CNC Machines, Robots, Driving
Lesson Introduction, What is Simulation?, Simulating Computers with Computers, Training, Real-World Systems, Fitness, Lesson Introduction, What is Parallelization?, Sandwiches in Parallel, Doing Math in Parallel, Building a Video Game in Parallel, Pipelines, Parallel Processing, Parallelization Activity
Lesson Introduction, What is Algorithm Analysis?, Introduction to Big-O, Big-O Examples, Dynamic Array Operations, Bubble Sort, Selection Sort, Insertion Sort, Recursion, Recursive Binary Search, Merge Sort
Lesson Introduction, Pointer Basics, Changing the Pointed to Value, Walking an Array with Pointers, Dynamic Memory Allocation, Getting More Memory, Pointers to Structs, Finishing Up
Course: Object-Oriented Data Structures in C++
Modules:
Introduction to Object-Oriented Data Structures in C++!, 1.0 Week 1 Overview, 1.1 C++ Introduction, 1.2 C++ Classes, 1.3 C++'s Standard Library (std)
Week 2 Introduction, 2.1 Stack Memory and Pointers, 2.2 Heap Memory, 2.3 Heap Memory Puzzles
Week 3 Introduction, 3.1 Class Constructors, 3.2 Copy Constructors, 3.3 Copy Assignment Operator, 3.4 Variable Storage, 3.5 Class Destructor
Week 4 Introduction, 4.1 Template Types, 4.2 Tower of Hanoi - Introduction, 4.3 Tower of Hanoi - Solution 1, 4.4 Tower of Hanoi - Solution 2, 4.5 Templates and Classes, 4.6 Inheritance
Course: Salesforce Integration
Modules:
Reports
Reports and Dashboards, Data Modeling
Customizing an Organization
Course: Strategic Self-Marketing and Personal Branding
Modules:
Career Self-Management Training, Welcome to Career Development / Skills Management Lab, What we learned in Course 1, What we learned in Course 2, Welcome to Strategic Self-Marketing and Personal Branding, Your product: the Skilled Self (Part 1), Your product: the Skilled Self (Part 2), Marketing the Skilled Self
Marketing the Skilled Self as Professional Service, BONUS: Marketing leadership skills (An interview with Darryl Leggieri, Part 1), Your Self-Marketing Plan (by Dr. John Beckem), CDL: Advanced Topics in Self-Marketing, CDL workout: The Showcaser, BONUS: Promoting Decision Making Skills (An interview with Darryl Leggieri, Part 2)
Introduction to Module 3, The Importance of Reflection, Human Brand, Personal Branding, Brand Management and Impression Management, Trait Affective Presence, Interview as Performance, Exercise Your Exclamation Point, What we have learned in week 3, The Skilled Self as a Brand, Advanced Topics in Personal Branding (optional), Advanced Topics in Personal Branding. Exercise.
Meet AmyLee: Using a ChatGPT-powered assistant for career growth, Learning about active behaviors with AmyLee, Your Public Relations Strategy, Your Advertising Strategy, What We Have Learned in the Course
Course: Electron and Ion Beam Characterization
Modules:
Introduction to This Course
4.1.1: SEM Fundamentals, 4.1.2: SEM Imaging
4.2.1: Auger Electron Emission, 4.2.2: Auger Electron Systems, 4.2.3: AES Applications
4.3.1: SIMS Instrumentation, 4.3.2: SIMS Spectra
Case Study Solution: Solar Cell Roughness Analysis
Course: GenAI for DevOps Practitioners
Modules:
Introduction to GenAI for DevOps Practitioners, History & Background for GenAI and DevOps Practitioners, Demo for Crafting Microservice Architecture for E-Com Platform with ChatGPT, Remediating Risks and Ethical Concerns, Demo for Creation of Infrastructure as Code for E-Com Platform Modernization, Closing Thoughts: What’s Next
Course: Creating a Portfolio
Modules:
Market Efficiency, Types of Market Efficiency, Anomalies, Performance measurement 1, Performance measurement 2, Market timing, Performance measurement 3
Timing measurement, Style Analysis, Performance attribution, Mutual fund performance, Expected returns and risk, Utility theory, Investment Choices and Portfolios, Capital Allocation, Risky portfolios
Diversification and efficient frontier, Two fund separation, Diversification revisited, Investment opportunity set with two risky assets and a risk-free asset, Investment opportunity set with three risky assets and a risk-free asset, The optimal allocation between risky and risk-free assets, The market portfolio and the capital market line
Strategies based on Text Mining, Benchmarking, Reporting, Financial Instruments, Backtesting, How to backtest?, Conclusion
Course: Introduction to Large Language Models - Deutsch
Modules:
Einführung in Large Language Models
Course: Linux and Bash for Data Engineering
Modules:
Welcome to Linux and Bash for Data Engineering, Meet your Course Instructor: Noah Gift, Overview of Key Concepts, Introduction to Working with Linux, Introduction to the Linux Shell, Installing and Accessing Linux, Getting Started with Github Codespaces, Comparing Linux Shell Environments, Writing 'Hello World' Bash Script, Popular Terminal Commands in Linux, Introduction to Shell Piping, What is Shell Piping?, Walkthrough of Shell Pipeline Examples, Introduction to SSH, What is SSH?, Creating SSH Keys and using with GitHub, Using SSH to Connect to Remote Server in AWS Cloud, Walkthrough of SSH Tunneling Example
Introduction to Working with Bash, Introduction to Configuring your Bash Shell Environment, What are Shell Configuration Files?, Configuring .bashrc, Configuring .zshrc and Third-Party Tool oh-my-zsh, Introduction to Working with Shell Variables, What are Shell Variables?, Exporting Shell Variables in an Interactive Prompt, Using Shell Variables in a Bash Script, Introduction to Standard Streams, What are Standard Streams?, Using Standard Out, Using Standard In, Using Standard Error
Introduction to Building Bash Scripts, Introduction to Shell Logic and Control Flow, What is Shell Control Flow?, Using Shell Control Flow to Solve Problems in Bash, Using Shell Loops in Bash, Evaluating Conditions in Bash, Introduction to Manipulating Data in the Bash Shell, Shell Techniques for Data in the Bash Shell, Truncating Data in Bash, Filtering Data in Bash, Searching Data in Bash, Introduction to Writing Scripts and Command-Line Tools in Bash, What are Scripts and Command-Line Tools?, Building a Bash Script, Building a Bash Function, Building a Bash Command-Line Tool, Bash-Adjacent Tools: Makefiles and Dockerfiles, Data Structures in Bash
Introduction to Composing File and Data Management Solutions in Linux, Introduction to Searching a Filesystem in Linux, Methods for Searching a Filesystem in Linux, Using the Locate Command to Find Files in Linux, Using the Find Command to Find Files in Linux, Using xargs to Extend Search Capabilities in Linux, Using mdfind on OS X, Introduction to Modifying Files, Directories, Permissions and Archiving in Linux, Overview of Modifying the Filesystem in Linux, Moving Files and Directories in Linux, Setting Permissions on Files and Directories in Linux, Archiving Data in Linux, Introduction to Processing Text in Linux, Benefits of Processing Text in Linux, Using grep, cut, sort and unique in Linux, Editing with Truncation, awk and sed in Linux, Using Regular Expressions (regex) in Linux
Course: كيفية السيطرة على التوتر والقلق
Modules:
تعريف القلق وطبيعته, كيفية تأثر العقل بالقلق, تأثيرات القلق ومراحله, طريقة (Progressive Relaxation), طريقتا (Autogenic images) والتأمل, طريقتا اليوغا والمنظور, أدوات إدارة القلق, القلق بسبب الحالة العاطفية, القلق العائلي والإجتماعي, القلق لأسباب كيميائية وبسبب التغيير, القلق بسبب العمل والمرض والمال, الخلاصة
Course: Introduction to CSS3
Modules:
Introduction to CSS3, Cascading Style Sheets, Reviewing the "Cascading" of CSS, Colors, Styling Your Text, Code Together: Applying Style, Display and Visibility - Part 1, Display and Visibility - Part 2, Code Together: The Display Property, Homework One Description
Display: Grid, Display: Flex, Styling Links and Lists, Advanced Selectors, Attribute Selectors, Code Together: Navigation, Browser Capabilities, Code Together: Background Images and Opacity, Designing For Accessibility, Homework Two Description
Box Model, Code Together: Box Model, Positioning
Pseudo Classes and Elements, Code Together: Styling Images with Pseudo-classes, Transitions, Transforms, Code Together: Transitions, Accessible Navigation, Final Project Description, Closing
Coursera Options, Post-Course Survey
Course: Natural Language Processing with Attention Models
Modules:
Course 4 Introduction, Week Introduction, Seq2seq, Seq2seq Model with Attention, Queries, Keys, Values, and Attention, Setup for Machine Translation, Teacher Forcing, NMT Model with Attention, BLEU Score, ROUGE-N Score, Sampling and Decoding, Beam Search, Minimum Bayes Risk, Week Conclusion, Andrew Ng with Oren Etzioni
Week Introduction, Transformers vs  RNNs, Transformers overview, Transformer Applications, Scaled and Dot-Product Attention, Masked Self Attention, Multi-head Attention, Transformer Decoder, Transformer Summarizer, Week Conclusion
Week Introduction, Week 3 Overview, Transfer Learning in NLP, ELMo, GPT, BERT, T5, Bidirectional Encoder Representations from Transformers (BERT), BERT Objective, Fine tuning BERT, Transformer: T5, Multi-Task Training Strategy, GLUE Benchmark, Hugging Face Introduction, Hugging Face I, Hugging Face II, Hugging Face III, Week Conclusion, Andrew Ng with Quoc Le
Course: Corporate & Commercial Law II: Business Forms, Financing & Governmental Regulation
Modules:
Course Overview, About Professor Fricke, Learn on Your Terms
Introduction to Sole Proprietorships and Partnerships, Partner Rights & Duties, Special Forms of Partnerships, Introduction to Corporations, Corporate Formation, Shareholder Rights, Powers, & Liability, Director & Officer Rights, Duties, & Liability, Limited Liability Companies
Bank Financing: Sureties & Guarantors, Interview with Banker, Bank Financing: Collection of Debts, Debt Financing, Secured Transactions: Foundations & Remedies, Secured Transactions: Perfection & Priority, Bankruptcy: Foundations & Procedure, Bankruptcy: Exempt Property & Fraudulent Transfers, Types of Bankruptcy
Introduction to Administrative Agencies, The Rule-Making Process, Agency Investigations & Administrative Courts, FTC Regulation of Commercial Activity, CFPB Regulation of Financial Institutions, FDA Regulation of Food, Drugs, & Cosmetics, EPA Regulation of Pollution
Antitrust: Unilateral Restraints of Trade, Interview with Venture Capitalist, Antitrust: Horizontal & Vertical Restraints of Trade, Antitrust: Mergers, Antitrust: Enforcement & Exemptions, Securities Laws & the SEC, Initial Public Offerings: Procedures & Liability, Initial Public Offerings: Shortcuts & Exemptions, Trading Securities: Section 10(b) & Rule 10b-5, Trading Securities: Insider Trading & Short-Swing Profits
Course: Grundlagen der Geschäftsstrategie
Modules:
Eine Einführung in die strategische Analyse, Strategische Analyse, Die Herausforderung des Strategen, Grundprinzip der Unternehmensstrategie, Wettbewerbsmärkte, Eine kleine Rechenaufgabe, Zwei Aussichten auf wirtschaftliche Renditen, Modul-Kurseinheiten, Das Toolkit des Strategen: SWOT-Analyse, Das Toolkit des Strategen: Wettbewerbsanalyse, Das Toolkit des Strategen: Umweltanalyse
Analysieren der Branchenstruktur, Bedrohung durch Neueinsteiger, Teil 1, Bedrohung durch Neueinsteiger, Teil 2, Bedrohung durch Alternativprodukte, Verhandlungsmacht der Käufer, 1. Teil, Verhandlungsmacht der Käufer, 2. Teil, Verhandlungsmacht der Lieferanten, Intensität des Wettbewerbs, Modul-Kurseinheiten, Das Toolkit des Strategen: Fünf-Kräfte-Analyse
Analyse der Unternehmensfähigkeiten, Wertschöpfungskette, Ausrichtung, Nachhaltigkeit: Nachahmung, Nachhaltigkeit: Dauerhaftigkeit, Fähigkeiten aufbauen, Modul-Kurseinheiten, Das Toolkit des Strategen: Fähigkeitsanalyse
Festlegung der Wettbewerbsposition, Generische Wettbewerbspositionen, 1. Teil, Generische Wettbewerbspositionen, 2 Teil, Mapping der Wettbewerbsposition, Welche Position ist die beste?, Modul-Kurseinheiten, Das Toolkit des Strategen: Strategiekarten
Course: The Science – and Neuroscience – of Change
Modules:
Welcome to "The Science – and Neuroscience – of Change", World Uncertainty Index, More Complexity, Uncertainty, and Speed of Change, Change is Coming At Us Faster Than Ever Before, Change Results in a Problem and an Opportunity
We Change When The External Context Requires It., Human Hardwiring, Mitigating Threats + Seizing Opportunities
Modern Organizations, Accelerate!, Organizational History, Change Leadership Research, Introducing the 8 Accelerators for Leading Change, Congratulations!
Course: Shape and Property Control of Metals I & II
Modules:
Mini Course #3 Introduction Video
Shape and Property Control, Part 1, Shape and Property Control, Part 2, Shape and Property Control, Part 3, Diffusion, Part 1, Diffusion, Part 2, Diffusion, Part 3
Diffusion, Part 4, Diffusion, Part 5, Diffusion, Part 6
Dislocations, Part 1, Dislocations, Part 2, Dislocations, Part 3, Dislocations, Part 4
Strengthening Mechanisms, Part 1, Strengthening Mechanisms, Part 2, Strengthening Mechanisms, Part 3, Course Review
Course: One Health: Pandemic preparedness, prevention, and response
Modules:
Lecture with Prof Lotta Berg, Lecture with Prof Mark Rhinard
Lecture with Dr. Pedro Villarreal, Lecture with Dr. Saskia Stucki, Lecture with Dr. Aysha Akhtar, Lecture with assoc.Prof Cecilia Stenfors
Science, policy, and society: the COVID-19 pandemic., Assessing national institutional capacity for evidence-informed policymaking
Lecture by Dr Hein Imberechts, Lecture by Pr Cristina Schneider, Lecture by Dr Caradee Y Wright, Lecture by Pr Serge Morand
Lecture by Pr Stephan Zientara, Lecture by Pr Jean-Christophe Giard, Lecture by Pr Kris A Murray
Lecture by Pr Janice Reis Ciacci Zanella, Lecture by Dr Haik Nikogosian, Lecture by Dr Faye Ioannou, Lecture by Dr Anna Okello
One Health and beyond: the potential of expanded connectedness to tackle creeping crises
Course: Improvisação no Jazz
Modules:
Boas-vindas, Aprendendo música on-line, Como este curso funciona
Estudo da improvisação, Língua falada e música improvisada, Contando histórias, Criando suas atribuições
Vocabulário do improvisador, Escalas, 10 escalas mais importantes, Os modos, As opções de acordes dominantes, Utilizar escalas de acordes
Encontrando a escala correta, Encontrando a escala maior correta, Método da escala de acordes, Encontrando a escala de acordes menor correta, Exemplos de escalas menores, Como encontrar a escala de acordes dominante correta, Criando suas atribuições
Harmonia para improvisadores, Tons guias, Utilizando tons guias, Progressão harmônica, Criando suas atribuições
Tema, O Desenvolvimento de uma História, Três Características da Forma Melódica, Variação, Orações musicais, Analisando canções, Conclusão, Criando suas atribuições
Course: Business Metrics for Data-Driven Companies
Modules:
About This Specialization, Introduction
Metrics Help Us Ask the Right Questions, Distinguishing Revenue, Profitability, and Risk Metrics, Distinguishing Traditional and Dynamic Metrics, Egger’s Roast Coffee Case Study Part 1 – Definitions, Egger’s Roast Coffee Case Study Part 2 – How a Profitable, Growing Company can go Bankrupt, Revenue Metrics – Traditional Enterprise Sales Funnel, Revenue Metrics - Amazon.com as a Leading Example of Use of Dynamic Metrics - Part 1, Revenue Metrics - Amazon.com as a Leading Example of Use of Dynamic Metrics - Part 2, Profitability/Efficiency Metrics: Inventory Management, Profitability/Efficiency Metrics: Hotel Room Occupancy Optimization, Risk Metrics: Leverage and Reputational Risk
Roles and Companies as They Relate to Big Data, The Business Analyst, An Interview with Business Analyst Shambhavi Vashishtha, Distinguishing the Business Data Analyst and Business Analyst Roles, An Interview with Business Data Analyst Tiffany Yu, The Data Scientist, An Interview with Data Scientist Dai Li, The Senior Software Engineer, Overview of 5 Types of Companies as They Relate to Big Data, Traditional Strategic Business Consulting, Bricks-and-Mortar Companies, Barnes and Noble Case Study, Strategic Business Consulting - Focus on Software/IT Systems Integration, Hardware and Software Companies, Digital Companies
Web Marketing - Metrics, Web Marketing - AdWord Metrics, Web Marketing - Segmentation, Financial Services Metrics - Money Management and Investing, The Equivalence of Different Returns –The Sharpe Ratio, Four Types of Money Managers and Their Performance Metrics, Venture Capital and Private Equity Investors
A Look Ahead
Course: 파이썬의 데이터 과학 소개
Modules:
전문화 소개, 과정 소개, Coursera Jupyter Notebook 시스템, 파이썬 함수, 파이썬 유형 및 시퀀스, 파이썬 문자열에 대한 추가 정보, 파이썬 데모: CSV 파일 읽기 및 쓰기, 파이썬 날짜 및 시간, 고급 파이썬 객체, map(), 고급 파이썬 람다 및 목록 이해, 수치 파이썬 라이브러리(NumPy), 정규 표현식으로 텍스트 조작하기
pandas 소개, 시리즈 데이터 구조, 시리즈 쿼리, DataFrame 데이터 구조, DataFrame 인덱싱 및 로드, DataFrame 쿼리, DataFrame 인덱싱, 결측값, 예시: DataFrame 조작
Dataframe 병합, Pandas 관용구, 그룹화 기준, Scales, 피벗 테이블, 날짜/시간 기능
기본 통계 테스트, 다른 형태의 구조화된 데이터
Course: Introduction to AWS Elemental MediaConnect - v.02.00.01
Modules:
Introduction to AWS Elemental MediaConnect
Course: Foundations of Business Strategy
Modules:
An Introduction to Strategic Analysis, Strategic Analysis, The Strategist's Challenge, Fundamental Principle of Business Strategy, Competitive Markets, A Little Calculus, Two Perspectives on Economic Rents, Module Lessons, Strategist's Toolkit: SWOT Analysis, Strategist's Toolkit: Competitor Analysis, Strategist's Toolkit: Environmental Analysis
Analyzing Industry Structure, Threat of Entry, Part 1, Threat of Entry, Part 2, Threat of Substitutes, Bargaining Power of Buyers, Part 1, Bargaining Power of Buyers, Part 2, Bargaining Power of Suppliers, Intensity of Rivalry, Module Lessons, Strategist's Toolkit: Five Forces Analysis
Analyzing Firm Capabilities, Value Chain, Alignment, Sustainability: Imitation, Sustainability: Durability, Building Capabilities, Module Lessons, Strategist's Toolkit: Capabilities Analysis
Determining Competitive Positioning, Generic Competitive Positions, Part 1, Generic Competitive Positions, Part 2, Mapping Competitive Positions, Which Position Is Best?, Module Lessons, Strategist's Toolkit: Strategy Maps
Course: Introducción al análisis de Costos para la Dirección de Empresas
Modules:
IAE Business School, Los protagonistas de nuestro caso, Presentación, Diálogo telefónico, Concepto de costos, Sistemas de costos, Primera reunión, Costos variables y fijos, Nivel de actividad, Inductor de costos, Punto de equilibrio monoproducto, Margen de contribución
Segunda reunión, Punto de equilibrio multiproducto - Parte I, Punto de equilibrio multiproducto - Parte II
Nuevos negocios, Ventas septiembre, Ventas octubre/noviembre, Costos directos e indirectos, Costeo por absorción y costeo variable
Cierre del curso
Course: BIM Application for Engineers
Modules:
Welcome to CAD/BIM specialization, 101 Course overview, 104 BIM applications in building lifecycle
201 Revit exercise: set up the project, 202 Revit exercise: model the foundation, 203 Revit exercise: model the structural elements and walls, 204 Revit exercise: place doors and windows, 205 Revit exercise: model stairs, 206 Revit exercise: model decorations, 207 Revit exercise: place equipment, 208 Revit exercise: use the Join tool to join elements, 209 Revit exercise: use the view template to set up drawings, 210  Revit exercise: use the print tools to plot CAD drawings
301 Introduction to Model Integration and Clash Detection, 302 Revit exercise: use the Interference Check tool for clash detection, 303 Navisworks exercise: use the Clash Detective tool for clash detection, 304 Revit  family design example: Window family 1/2, 304 Revit  family design example: Window family 2/2, 305 Revit  family design example: U shape gutter family
401 Introduction to quantity takeoff for construction, 402 Revit exercise: a quick look at Revit schedules, 403 Revit exercise: create quantity schedules, 404 Revit exercise: customize settings for schedules, 405 Revit exercise: create material takeoff schedules, 406 Revit exercise: export and compile schedules
501 Introduction to progress planning for construction, 502 Navisworks: get started, 503 Navisworks exercise: add parameters to Revit model elements, 504 Navisworks exercise: import models and tasks, 505 Navisworks exercise: set task types, 506 Navisworks exercise: save selection sets, 507 Navisworks exercise: attach model elements to tasks, 508 Navisworks exercise: add overlay text, 509 Navisworks exercise: export TimeLiner simulations
601 Course review
Course: Outsmarting intermittency
Modules:
0 – Grid integration  what, why, how
1-1 Physical infrastructure, 1.2 Who's who, 1-3 Bonus  electricity 101, 2-1 The time scales of power balance, 2-2 Why is grid stability critical - when things go wrong
3-1 Challenges - Introduction and Dispatchability, 3-2 Challenges - Intermittency, variations and prediction, 3-3 Challenges - Grid architecture, 4-0 Bonus - Assessing solutions - Energy trilemma, 4-1 Solution - Power electronics, 4-2 Solution - Storage, 4-3 Solution - Aggregation, 4-4 Solution - Forecasting, 4-5 Solution - Smart grid - dispatching demand
Take home messages
Course: Gemini in Google Meet - Français
Modules:
Présentation du cours "Gemini in Google Meet", Générer une image d'arrière-plan à l'aide de Gemini, Améliorer votre expérience audio et vidéo, Activité expliquée
Course: MRI Fundamentals
Modules:
Lecture 1-1 MRI as one of the Biomedical Imaging Modalites, Lecture 1-2 Magnet, RF Coils, and Gradient Coils for MRI
Lecture 2-1 Signal Source of MRI, Lecture 2-2 Protons in the strong magnetic field, Lecture 2-3  Application of RF to Cause Magnetic Resonance, Lecture 2-4 Relaxation. Summary of the 2nd Week
Lecture 3-1 Fourier Transform and MR images, Lecture 3-2 Properties of Fourier Transform, Lecture 3-3 Basic Signal Functions, Lecture 3-4 Sampling, Lecture 3-5 Nyquist Sampling Theorem
Lecture 4-1 How to sequence gradient pulses to get an image, Lecture 4-2 Slice Selection, Lecture 4-3 K-space, Lecture 4-4 Frequency Encoding, Lecture 4-5 Phase Encoding
Lecture 5-1 Gradient Echo and Spin Echo Imaging, Lecture 5-2 Contrast Mechanism in Spin Echo Imaging, Lecture 5-3 Contrast Mechanism in Gradient Echo Imaging, Lecture 5-4 Field of View, Lecture 5-5 Resolution
Lecture 6-1 2D and 3D Imaging, Lecture 6-2 Gradient Echo Imaging, Lecture 6-3 Spin Echo Imaging and Fast Spin Echo Imaging, Lecture 6-4 Echo Planar Imaging, Lecture 6-5 Non-Cartesian Imaging