dipopotamus/custom_instruct_coursera_course_module_list huggingface dataset:
Course: AI Capstone Project with Deep Learning
Modules:
Introduction, Choose One Library Only (PyTorch or Keras), 1.0 Loading data., Keras Stream
2.0 Data Preparation with PyTorch
Linear Classifier PyTorch Review
Pre-trained models with Resnet-18 Review PyTorch
Course: Google Drive
Modules:
Course introduction, Agenda
Introduction to Google Drive, Activity 1 explained
Share with Google Drive, Activity 2 explained
My Drive, Activity 3 explained, Work with Drive files and folders, My Drive walkthrough, Options menu, Activity 4 explained, More My Drive features
Shared drives, Add members to a Shared drive, Activity 5 explained, More shared drive features
Templates, Activity 6 explained, Create and use a template
Google Drive tools and options, Google Workspace add-ons
Business challenge overview, Wrap up
Course: Disrupción Digital
Modules:
Bienvenida al curso, Tipos de innovación, ¿En qué se diferencia la innovación disruptiva?, La era tecnológica y el microchip, Móviles y lo que viene después
Bienvenida a la segunda semana: organizaciones modernas y tecnologías digitales, Impacto tecnológico dentro de las organizaciones, Buscando eficiencias, Habilitando modelos de negocio, Ejemplo 1: Oradora invitada - María Muzio, Ejemplo 2
Bienvenida a la semana 3 y la importancia del marketing, Venta y postventa, Plataforma como modelo de negocios, Aceleración digital, Ejemplo 1. Oradora invitada: Cecilia Olive, Ejemplo 2
Bienvenida a la semana 4, Estrategia intencional vs. emergente, Vínculos  con otras funciones de negocio, Comunicando la estrategia, Plan de negocios en una caja: Lean Canvas, Cierre del curso
Course: 快速学习
Modules:
快速学习课程介绍, 职场人士学习的特点, 学习资源和学习时间, 职场学习流程和课程内容
2.1.1 搜索引擎课程介绍, 2.1.2 搜索引擎的重要性, 2.1.3 搜索引擎出现的历史必然性, 2.1.4搜索引擎的工作原理, 2.1.5搜索引擎的分类, 2.2 搜索引擎的使用方法（概述）, 2.2.1 搜索引擎的使用-通用部分, 2.2.2 命令搜索, 2.2.3 图片搜索, 2.2.4 影响搜索成功的因素, 2.3 本地极速搜索工具 everything
3.1 我们需要怎样的信息获取方法., 3.2.1什么是RSS, 3.2.2 如何使用RSS, 3.3.1 网站订阅, 3.3.2 主题新闻订阅, 3.3.3 科技文献订阅, 3.4 feedly的使用, 3.5.1移动端阅读器的选择, 3.5.2 gReader的使用
4.1.1 信息管理的挑战, 4.1.3 我们需要怎样的笔记管理工具, 4.1.2 为什么要记笔记, 4.2.1 笔记类工具的选择, 4.2.2为知笔记是什么, 4.3.1为知笔记的使用流程, 4.3.2 注册、下载与安装，界面介绍, 4.3.3 如何收集信息, 4.3.4 笔记的组织与管理, 4.3.5 分享与协作, 4.3.6 其它实用功能, 4.3.8 我的实际使用场景, 4.3.7 移动端为知笔记的使用, 4.3.9 如何高效整理资料, 4.4 为知笔记的小结
5.1.1 什么是思维导图, 5.1.2 思维导图软件, 5.1.3 推荐使用思维导图的原因, 5.2.1 认识软件界面, 5.2.2快速上手指南-1分钟教程, 5.2.3 软件使用进阶, 5.2.4 文件的导入与导出, 5.2.5 软件的使用演示, 5.3 思维导图示例, 5.4 期望
Course: Solar Energy Basics
Modules:
Welcome to Solar Energy Basics, Primary energy sources, Transformation of Energy, Solar energy, Photovoltaic cells and modules, Silicon-based Photovoltaics, Other photovoltaic materials, Calculating Module Conversion Efficiency, Other PV system electrical components, PV System Mechanical Components
Calculating Power and Energy, Measuring appliance power and energy, Determining appliance energy usage from web resources, Determining energy usage from an electric bill, Adjusting for location and system losses, Calculating system size
Historical Growth of Photovoltaics, Growth Potential of Photovoltaics, PV Growth: US Case Study, Applications of PV
Jobs and stakeholders in PV, PV financial models: Net metering, PV financial models: Remote net metering, PPAs, Leasing, Pathways to PV Certifications
Capstone Project
Course: Managing Change when Moving to Google Cloud
Modules:
Course Introduction, Why Organizations Move to the Cloud, Challenges of Moving to the Cloud, Managing the Change, The Cloud Maturity Journey, The Evolution of People-Focused Epics, Five Common Cloud Change Paths, The Google Cloud Change Management Methodology
Course: Hydro, Wind & Solar power: Resources, Variability & Forecast
Modules:
Climate change and climate mitigation, Relating emissions to population, economy and technology, Climate mitigation and renewable energies, Various units, Primary and Final Energy, Capacity factors of various units, General atmospheric circulation, Atmospheric variability at mid-latitudes, Atmospheric variability in the tropics, Clouds and precipitations
History and hydro turbines, Water Cycle, Hydro resources, Hydro variabilities, Conventional hydro power, Dissipation in penstocks, Pumped Hydro Storage, Fluvial power, Run of river power plants, Load Factors Hydro
In-situ wind measurements, Remote sensing wind measurements, Windcube a compact wind lidar, Probability distribution function, Weibull law, Betz law, Power Curve, Wind production
Components of solar radiation on a plane, Factors affecting solar radiation reaching the ground, Temporal and spatial scales of solar resource variability, Solar resource estimation techniques: ground-based measurements, Solar resource estimation techniques: satellite-based estimations, Photovoltaic module characteristics, Methods to estimate and evaluate photovoltaic production, Worked problem: PV potential calculation
Integration of renewables in the energy system, Challenges and forecasting needs for the energy sector, Energy forecasting tools, Determinism, chaos and predictability, Making forecasts and quantifying uncertainty
Course: Gemini in Gmail - Español
Modules:
Introducción a Gemini en Gmail, Crea el borrador de un correo electrónico con Gemini, Define mejor las instrucciones y los borradores, Actividad explicada
Course: تحرير النصوص في مايكروسوفت وورد | Editing Text in MS Word
Modules:
إدخال النصوص إلى "مايكروسوفت وورد" وكيفية التحكم فيها, كيفية تحديد النصوص, أوامر النسخ (Copy)، القص (Cut)، اللصق (Paste) و(Format Painter), أمر البحث (Find) والاستبدال (Replace), أمر عداد الكتابة (Word Count) وإضافة التعليقات (Comments) والمقارنة (Compare), التدقيق اللغوي (Grammar Proofing) والتأكد من صحة الكتابة, الخاتمة
Course: Fundamentals of Immunology: Dueling with Pathogens and Cancer
Modules:
Welcome Video, Lesson 1: Viral Structure and Function, Lesson 2: Enteroviruses, Lesson 3: Influenza, Lesson 4: Ebola, Lesson 5: Measles, Lesson 6: HIV
Lesson 1: Bacteria, Lesson 2: Fungi, Lesson 3: Unicellular Eukaryotes, Lesson 4: Helminth Parasites
Lesson 1: Passive Immunity, Lesson 2: Live Attenuated Vaccines, Lesson 3: Adjuvants, Lesson 4: Killed and Component Vaccines, Lesson 5: Lies Anti-vaxxers Tell
Lesson 1: Overview, Lesson 2: Lymphoid Deficiencies, Lesson 3: Myeloid Deficiencies
Origins of Cancer: Cancer as Anti-development, The Road to Malignancy, Interactions with the Immune System, Non-Cellular Immune Therapies, Cellular Immune Therapies
Looking Ahead, Farewell Video
Course: Introduction to Serverless Development v01.01.00
Modules:
Introduction to Serverless Development
Course: Road to the CISO – Culminating Project Course
Modules:
Developing the Cybersecurity Program, Computer Gaming Technologies (CGT, Inc.)
Specification, Get help and meet other learners. Join your Community!
Specification
Specification
Specification
Specification
Course: Serverless Data Processing with Dataflow: Develop Pipelines en Español
Modules:
Introducción al curso
Conceptos básicos de Beam, Transformaciones de utilidad, Ciclo de vida de DoFn, Empezar a usar Google Cloud y Qwiklabs
Ventanas, Marcas de agua, Activadores
Fuentes y receptores, E/S de Text y de File, E/S de BigQuery, E/S de PubSub, E/S de Kafka, E/S de BigTable, E/S de Avro, DoFn divisible
Esquemas de Beam, Ejemplos de código
API de State, API de Timer, Resumen
Esquemas, Manejo de los datos que no se pueden procesar, Manejo de errores, Generador de código AutoValue, Manejo de datos JSON, Utilización del ciclo de vida de DoFn, Optimizaciones para canalizaciones
Dataflow y SQL de Beam, Sistema de ventanas en SQL, Dataframes de Beam
Notebooks de Beam
Resumen del curso
Course: GCP Computing and Storage Services
Modules:
Virtual Machine Instances, DEMO: Set up VMs, GCE Machine Types, Instance Template, DEMO: Create a VM Instance Using Instance Template, DEMO: Create a VM Using Startup Script, Compute Engine - Storage Options, DEMO: Work with Persistent Disk, Local SSD, Snapshots, Filestore, Storage -Use Cases, Machine Images, Preemptible Instances, Sole-Tenant Nodes, Shielded VM, Instance Groups, DEMO: Create and Work with MIG, Autoscaling, Virtual Manager, Load Balancing, Types of Load Balancing, GCP Load Balancers, Internal HHTP(S) and External HTTP(S) Load Balancing, DEMO: Create a HTTP(S) Load Balancer, Internal TCP UDP SSL Proxy and TCP Proxy Load Balancing, Components of Load Balancer, VM Instance Pricing, Architecting GCE- Introduction, Architecting Scalability, Architecting Live Migration, Architecting for Graphic-Intensive, Architecting for Performance, Architecting for Security, Architecting for Resilience
Google Cloud Storage (GCS), GCS Structure Objects and Buckets, DEMO: Create Bucket and Upload Data, Working with GCS Using Gsutil CLI Commands, GCS Class Types, Google Cloud Storage Pricing, Object Lifecycle Management, DEMO: Configure Lifecycle Rule on a Bucket, Migrating Data with Transfer Appliance, Cloud Storage Scenarios
Course: Introduction to Thermodynamics: Transferring Energy from Here to There
Modules:
01.01 - Welcome and Introduction to the Course, 01.02 - Drivers for Changing the Way We Use Energy, 01.03 - The Units of Energy and Power and the Sectors of Energy Supply and Demand, 01.04 - Defining Open and Closed Systems, 01.05 - Thermodynamic Properties, 01.06 - Conservation of Energy for Closed Systems
02.01 - Work Transfer Mechanisms, 02.02 - Example: the Work Required to Compress Air, 02.03 - The First Law of Thermodynamics for a Closed System, 02.04 - Heat Transfer, 02.05 - Phase Diagrams, 02.06 - 2D Phase Diagrams
03.01 - Thermodynamic Properties and the Saturation Region, 03.02 - Internal Energy, Enthalpy, and the Specific Heats, 03.03 - The Incompressible Substance and the Ideal Gas Models for Equations of State, 03.04 - More Outcomes of the Ideal Gas Model, 03.05 - Conservation of Mass for Open Systems, 03.06 - Steam Turbine Example - Part 1
04.01 - Flow Work and the Conservation of Energy, 04.02 - Steady State, Steady Flow Devices, 04.03 - Another Example: Compressing Water, 04.04 - Steam Turbine Example - Part 2, 04.05 - Example of Cooling a Microprocessor - Starting the Analysis, 04.06 - Steam Tables Discussion
05.01 - Example of Cooling a Microprocessor - Finishing the Analysis, 05.02 - Transient Analysis - Setting Up the Governing Equations, 05.03 - Transient Analysis - Reformulating the Problem, 05.04 - Cycle Analysis - Power Cycles, 05.05 - Refrigeration and Heat Pump Cycles
06.01 - A Conceptual Introduction to the Second Law of Thermodynamics, 06.02 - The Carnot Cycle, 06.03 - The Rankine Power Plant, 06.04 - A Brief Introduction to Ideal Performance and Entropy, 06.05 - More Advanced Methods to Increase the Efficiency of Rankine Power Plants, 06.06 - More Discussion on the Concepts and Theory of the 2nd Law of Thermodynamics
07.01 - Example of Analysis of a Rankine Power Plant - Part 1: Assigning the State Information (or Pin the Tail on the Donkey), 07.02 - Example of Analysis of a Rankine Power Plant - Part 2: Finding ALL the State Information, 07.03 - Example of Analysis of a Rankine Power Plant - Part 3: Putting it all Together, Cycle Analysis, 07.04 - Example of Analysis of a Rankine Power Plant - Part 4: What the Results Tell Us, 07.05 - How we can Dramatically Improve Thermal Efficiencies - An Introduction to Waste Heat Recovery, 07.06 - Let's Look Inside a Jet Engine
08.01 - Air Standard Power Cycles - The Brayton Cycle, 08.02 - More Waste Heat Recovery - Combined Cycles, 08.03 - Carbon Reserves and Global Warming, 08.04 -Energy Carriers, 08.05 - Setting the Bar for Performance, 08.06 -The Hardware of Our Internal Combustion Engines
Course: Deep Neural Network for Beginners Using Python
Modules:
Course Overview, Introduction to Instructor, Introduction to Course
Problem to Solve Part 1, Problem to Solve Part 2, Problem to Solve Part 3, Linear Equation, Linear Equation Vectorized, 3D Feature Space, N-Dimensional Space, Theory of Perceptron, Implementing Basic Perceptron, Logical Gates for Perceptrons, Perceptron Training Part 1, Perceptron Training Part 2, Learning Rate, Perceptron Training Part 3, Perceptron Algorithm, Coding Perceptron Algo (Data Reading and Visualization), Coding Perceptron Algo (Perceptron Step), Coding Perceptron Algo (Training Perceptron), Coding Perceptron Algo (Visualizing the Results), Problem with Linear Solutions, Solution to Problem, Error Functions, Discrete Versus Continuous Error Function, Sigmoid Function, Multi-Class Problem, Problem of Negative Scores, Need of SoftMax, Coding SoftMax, One-Hot Encoding, Maximum Likelihood Part 1, Maximum Likelihood Part 2, Cross Entropy, Cross Entropy Formulation, Multi-Class Cross Entropy, Cross Entropy Implementation, Sigmoid Function Implementation, Output Function Implementation
Introduction to Gradient Descent, Convex Functions, Use of Derivatives, How Gradient Descent Works, Gradient Step, Logistic Regression Algorithm, Data Visualization and Reading, Updating Weights in Python, Implementing Logistic Regression, Visualization and Results, Gradient Descent Versus Perceptron, Linear to Non-Linear Boundaries, Combining Probabilities, Weighted Sums, Neural Network Architecture, Layers and DEEP Networks, Multi-Class Classification, Basics of Feed Forward, Feed Forward for DEEP Net, Deep Learning Algo Overview, Basics of Backpropagation, Updating Weights, Chain Rule for Backpropagation, Sigma Prime, Data Analysis NN (Neural Networks) Implementation, One-Hot Encoding (NN Implementation), Scaling the Data (NN Implementation), Splitting the Data (NN Implementation), Helper Functions (NN Implementation), Training (NN Implementation), Testing (NN Implementation)
Underfitting vs Overfitting, Early Stopping, Quiz, Solution and Regularization, L1 and L2 Regularization, Dropout, Local Minima Problem, Random Restart Solution, Vanishing Gradient Problem, Other Activation Functions
Final Project Part 1, Final Project Part 2, Final Project Part 3, Final Project Part 4, Final Project Part 5
Course: Introdução às Simulações PhET para Educação STEM
Modules:
Uma Breve Introdução ao PhET, Tour pelo Portal PhET, Explorando o Processo de Design de uma Sim PhET, Dicas Rápidas do PhET: Modo Projetor, Dicas Rápidas do PhET: Suplemento do PowerPoint
A Importância do Acesso e da Inclusão, Compatibilidade de Plataforma, Compartilhando Simulações, Baixando Simulações HTML5, Baixando Simulações Java, Baixando Aplicativos PhET para Computadores e Dispositivos Móveis
Recursos Inclusivos em Ação, Entrada Alternativa, Entrada da Câmera: Mãos, Som e Sonificação, Descrição interativa, Voz, Panorâmica e Zoom, Destaques Interativos, Acessando Recursos Inclusivos
Atividades Enviadas pelo Professor
Fundador do PhET sobre Criação de Ambiente e Cultura de Aprendizagem
Aprendizagem Ativa com PhET como Base para a Equidade, Características da Aprendizagem Ativa, Aborde o Conhecimento Prévio dos Alunos, Conecte-se ao Contexto, Colaboração de apoio, Promova o pertencimento, Fornecer Andaimes, Avaliações como Oportunidades de Aprendizagem, Um Espectro de Sistemas de Aprendizagem Ativa, Pesquisa sobre Aprendizagem Ativa em STEM, Aprendizagem Ativa com Simulações PhET, Encontrando e Selecionando Atividades Baseadas em Aprendizagem Ativa
Obtenha seu Certificado
Course: Big Data, Artificial Intelligence, and Ethics
Modules:
What is this Specialization About?, Course Introduction, Big Data Overview, What is "Big Data"?, Digital Footprint, Political Data-fusion and No-Sampling (Part 1), Political Data-fusion and No-Sampling (Part 2), Real-time, Machine Learning, Machine Learning Recommender Systems
Big Data Limitations Overview, Big Data Limitations, Footprint ≠ Representativeness, Data ≠ Reality, Meaning ≠ Meaningful, Discrimination ≠ Personalization, Correlation ≠ Causation, Past ≠ Future
Introduction to Artificial Intelligence, A Short History of AI, State of the Art, The Most Intelligent Gamer, Search and Robotics, Vision and Machine Learning, AI Challenges, Moral Frames, Predictions From Morals, Moral Brain Signatures, Computational fMRI, (A Personal) History of Dialogue Systems, The Art of Dialogue, Making Conversations, AI Telling Stories
Human Downgrading, Attention Economy, Exploiting Cognitive Biases, Persuasive Tech is Everywhere, Digital Exit Strategy - Part 1, Digital Exit Strategy - Part 2, Digital Exit Strategy - Part 3, Digital Exit Strategy - Part 4, Introduction to Research Ethics, Origins: Unethical Medical Research, Unethical Social Research, Taking Responsibility, The Common Rule, Ethical Computational Social Science, Concerns of an AI Pioneer, Walker on Ethics (Complementary), Shelton on Ethics (Complementary), Language Acquisition (Complementary), Modeling Framework (Complementary), Computational Model (Complementary), Lessons Learned (Complementary)
Course: Software Sales
Modules:
Introduction to the Course & Meet Your Instructor, Introduction to Software Sales, Identifying Market Needs and Opportunities, Analyzing Competitors and Trends, Crafting a Compelling Value Proposition, Designing a Sales Funnel, Leveraging Digital Marketing for Software Sales, Effective Communication and Presentation Skills, Overcoming Objections and Closing Deals, Building Long-term Customer Relationships, Congratulations and Continuous Learning Journey
Course: Write A Feature Length Screenplay For Film Or Television
Modules:
Creating The Idea For Your Feature Film
Create a Logline, Create the Dramatic Question
Create your character profiles
The Three Act Story Arc of a Feature Length Screenplay, Outline Act One, Outline your First Ten Pages
Screenplay Format and Grammar, Becoming Familiar with the Software
Action and Dialogue, Writing the First Ten Pages of your Screenplay
Outline the middle section of Act One, Write pages 11-20
Write pages 21-30
Table read Act One
Act Two - Write pages 31-40
Write pages 41-50
Write pages 51-60
Write pages 61-70
Write pages 71-80
Table Read Acts One and Two
Act Three - Write pages 81-90
Write page 90-100
Write Pages 100-110
Table Read Acts One, Two and Three
Write a Cold Open, Write a Synopsis, Thank You and Congratulations
Course: Ciudades en crisis y nuevas políticas urbanas
Modules:
Presentamos el curso
Introducción al curso, ¿Por qué son importantes las políticas urbanas?, ¿Qué (no) son las políticas urbanas?, El espacio público, La gobernanza del espacio público, Los valores en las políticas urbanas: acceso y diversidad, Ciudades ni, o, y, Bibliografía sobre políticas urbanas, Clemente Navarro. La gobernanza local, Manu Fernández. El dilema de la acción colectiva y los tipos de gobernanza
Introducción. Vulnerabilidades urbanas, Vulnerabilidades urbanas, De la necesidad, virtud: respuestas a las vulnerabilidades urbanas, Las políticas urbanas de bienestar, Barrios y crisis, Fernando Díaz. El neoliberalismo en la ciudad, Francesco Salvini. El derecho a la ciudad
Introducción. Políticas urbanas e innovación social, La innovación en el proceso de producción de las políticas urbanas: el caso de Barcelona, La administración pública ante las iniciativas urbanas del pro-común, La participación en la ciudad, Innovación social y liderazgo colectivo en los barrios, Principios y ejemplos de innovación urbana, Ejemplos de innovación urbana: los huertos urbanos en Valencia
Introducción. Las ciudades en la era digital, Internet y la desintermediación en la ciudad, El concepto de Smart City (I), El concepto de Smart City (II): controversias y debates, La economía colaborativa de plataforma, Infraestructuras digitales para la innovación democrática: el caso de Decidim.Barcelona
Course: تطوير الألعاب باستخدام محرك Unity: 2D لعبة القفز على المنصات
Modules:
Task 1, Task 2, Task 3, Task 4, Task 5, Task 6, Task 7, Task 8
Course: Getting Started with Technology Startups
Modules:
Introduction, What is Entrepreneurship, Types of Technology Entrepreneurship, Entrepreneurship Myths & Benefits, Entrepreneurial Thinking, Lean Startup Qualities & Characteristics, Entrepreneurship: What is it all About?, Entrepreneurial Purpose & Impact
Organizational Properties and Agency Theory, Entrepreneurial Mindset and Self-Efficacy, Entrepreneurial Mindset: Self-Leadership, Creativity and Innovation, Holding Multiple Perspectives, Entrepreneurial Orientation, Prior Education, and Experience, Entrepreneurial Orientation: Personality and Human Development, Entrepreneurial Motivators, Entrepreneurial Support Systems, More on Entrepreneurial Support Systems
Opportunity Recognition: Options, Methods, and Strategies, Skills, Hobbies, Activities, and Market Gaps, Education, Experience, Family and Market Gaps, Skills Inventory and Self-Inquiry, Market Gap Analysis, More on Gap Analysis, Identifying Ideas and Opportunities
Use Design Thinking to Generate New Ideas, Social Entrepreneurship: Ideas and Opportunities, Survey the Entrepreneurial Landscape, What is a Sustainable Competitive Advantage, Identify Your Sustainable Competitive Advantage, What is Customer Value, Develop a Compelling Value Proposition
Understanding Vision and Mission, Designing Vision and Mission Statements, More on Designing Vision and Mission Statements, How Vision & Mission Drive Business Strategy, Formulating Business Strategy, What is a Business Model?
Course: Questionnaire Design for Social Surveys
Modules:
Introduction, Types of Questions, Measurement Error: Bias and Variance, Standardized Interviewing, Conversational Interviewing, Concept Specification
Response Process: Comprehension, Response Process: Retrieval, Response Process: Judgment, Response Process: Response
Facts and Quasi Facts, Memory and Recall: Reporting Behavioral Frequencies, Memory and Recall: Length of Reference Period, Memory and Recall: Comprehension and Retrieval, Asking Sensitive Questions, Asking Sensitive Questions: Techniques, Asking Sensitive Questions: Indirect Techniques, Mode, Privacy, and Confidentiality
Attitude Questions: Attitudes, Attitude Questions: Context Effects, Attitude Questions: Specific vs. General Evaluations, Attitude Questions; Agree Disagree Scales, Attitude Questions: Don't Know, Attitude Questions: Order Effects, All Questions: Response Options and Scales
Pretesting Techniques: Expert Reviews and Focus Groups, Pretesting Techniques: Cognitive Interviews, Behavior Coding, Pretesting Techniques: Quantitative Techniques, Pretesting Techniques - Other Techniques
From Start to Finish: Putting Questions into a Questionnaire, Motivated Underreporting: Reports from Selected Research Studies, Main Questionnaire: Demographic Questions - Ending, Mode Choice: Implications for Layout, Self-Administered Questionnaires: Additional Requirements, Summary: Unit by Unit Take-Home Points
Course: Create the User Interface in Android Studio
Modules:
Introduction to the course, How is mobile UI built?, Unique challenges for Android UI, Setting up Android Studio, What is an Activity?, Defining an activity, Views and Layouts, Layouts and Views in Kotlin, The activity lifecycle, Introduction to Jetpack Compose, UI with Composable functions, Layouts in Compose, Building UI with Composables, Module summary: Basic UI creation in Android
Modifiers, Styling with modifiers, Modifiers with layouts, Event handling and callbacks, What is a state?, Declaring state, Recomposition, Saving and Restoring State, Stateful vs stateless composables, Scaffold, Material components, Scaffold state, Module summary: Building UI with Jetpack Compose
The Navigation component, Navigation in Compose, NavHost & Nav Controller, Tabbed Navigation, Defining a list, Defining a grid, What are lazy layouts?, Defining lazy lists, Defining lazy grid, Module summary: Advanced UI with Jetpack Compose
The Theme function, Defining colors, Styling text, Material Design theme, Animated visibility, Value animation, Module summary: Animations
Course Recap: Create the User Interface, Congratulations, you have completed Create the User Interface
Course: Fundamental Skills in Engineering Design
Modules:
About your course and its creator, Introduction to design, Types of engineering design, The product life cycle, Design for manufacture, Design for marketing, The engineering design process, The problem formulation phase, Conceptual design steps, Finding solutions, Evaluating designs, Embodiment and detail design
Teamwork
Course: Interprofessional Healthcare Informatics
Modules:
Course Introduction and Overview
Informatics Theory Part 1, Informatics Theory Part 2
Data, Information, and Knowledge, Introduction to the Omaha System, An Omaha System Journey: Diane Thorson
Electronic Health Records, Evidence Based Practice
Quality Improvement, Workflow Processes
Informatics and Telehealth, Telehealth, Consumer Health Informatics
Informatics and Population Health
Informatics, Gaming, and Simulations, Game Based Teaching and Computer Simulation, Computational Modeling and Simulation
Informatics and Ethics
Health Information Exchange, Standardization - Part 1, Standardization - Part 2, Standardization - Part 3
Informatics and the Foundation of Knowledge, Data Visualization Part 1, Data Visualization Part 2, Synthesis
Course: Data Management, Reports, and Dashboards
Modules:
Salesforce Analytics, Data Loader Overview, Data Loader Installation, Data Loader Configuration, Data Import Wizard, Mass Delete Records, Difference between Data Loader and Import Wizard, Demo: Loading and Using Data Loader, Demo: Exporting Data, Demo: Importing Data from an External System
Report Types, Create Custom Report Types, Bucket Fields, Reports, Types of Reports, Lightning Report Builder, Creating Charts, Create Joined Reports, Dashboards, Create Dashboards, Exporting Reports, Demo: Creating and Leveraging Lightning Reports, Demo: Creating Dashboards, Demo: Managing Reports and Dashboards
Course: Analyse numérique pour ingénieurs
Modules:
Vidéo 1 : Position du problème, Vidéo 2 : La mauvaise méthode, Vidéo 3 : Interpolation de Lagrange - cas n=2, Vidéo 4 : Interpolation de Lagrange - cas n quelconque, Vidéo 5 : Interpolation d'une fonction continue, Vidéo 6 : Theoreme 1.1, Vidéo 7 : Interpolation de degré 1 par intervalles, Vidéo 8 : Interpolation de degré 2 par intervalles, Vidéo 9 : Résumé
Vidéo 1 : Dérivation numérique, Vidéo 2 : Dérivées numériques d'ordre 1 - position du problème, Vidéo 3 : Formule de différences finies progressive (1), Vidéo 4 : Formule de différences finies progressive (2), Vidéo 5 : Formule de différences finies rétrograde, Vidéo 6 : Formule de différences finies centrée (1), Vidéo 7 : Formule de différences finies centrée (2), Vidéo 8 : Erreur d'arrondis, Vidéo 9 : Dérivées numériques d'ordre 2, Vidéo 10 : Résumé
Vidéo 1 : Intégration numérique - formules de quadrature, Vidéo 2 : Généralités, Vidéo 3 : Généralités (suite), Vidéo 4 : Généralités (fin), Vidéo 5 : Formule du rectangle et du trapèze, Vidéo 6 : Poids d'une formule de quadrature, Vidéo 7 : Formule de Simpson, Vidéo 8 : Points d'intégration - formules de Gauss, Vidéo 9 : Essais numériques, Vidéo 10 : Résumé
Vidéo 1 : Résolution de systèmes linéaires, Vidéo 2 : Elimination de Gauss - Généralités, Vidéo 3 : Elimination de Gauss - Exemple, Vidéo 4 : Décomposition LU - Généralités, Vidéo 5 : Décomposition LU - Exemple, Vidéo 6 : Décomposition LL^T (Cholesky), Vidéo 7 : Décomposition LL^T - Exemple, Vidéo 8 : Résumé
Vidéo 1 : Equations et systèmes d'équations non linéaires, Vidéo 2 : Equations non linéaires - Position du problème, Vidéo 3 : Méthode de point fixe, Vidéo 4 : Méthode de point fixe (suite), Vidéo 5 : Méthode de point fixe (fin), Vidéo 6 : Méthode de point fixe (exemple), Vidéo 7 : Méthode de Newton, Vidéo 8 : Méthode de Newton (suite), Vidéo 9 : Systèmes d'équations non linéaires, Vidéo 10 : Résumé
Vidéo 1 : Equations différentielles, Vidéo 2 : Equations différentielles du 1er ordre - Position du problème, Vidéo 3 : Théorème 9.1 (existence), Vidéo 4 : Problèmes numériquement mal posés, Vidéo 5 : Schéma d'Euler progressif, Vidéo 6 : Schéma d'Euler rétrograde, Vidéo 7 : Stabilité des schémas d'Euler, Vidéo 8 : Schémas d'ordre supérieur, Vidéo 9 : Systèmes d'équations différentielles du 1er ordre, Vidéo 10 : Résumé
Vidéo 1 : Problèmes aux limites unidimensionnels, Vidéo 2 : Problèmes aux limites unidimensionnels (suite), Vidéo 3 : Méthode de différences finies, Vidéo 4 : Méthodes de différences finies (suite), Vidéo 5 : Un problème non linéaire, Vidéo 6 : Un problème non linéaire (suite), Vidéo 7 : Résumé
Examen final
Course: Introduction to Automotive Embedded Systems
Modules:
Introduction to the Course & Meet Your Instructor, The Essence of Embedded Systems in Automotive, Key Components of Automotive Embedded Systems, Automotive Applications of Embedded Systems, Microcontroller Basics for Automotive Applications, Programming Microcontrollers, Case Studies: Microcontrollers in Action, Embedded Software Development Lifecycle, Tools and Languages for Automotive Embedded Development, Challenges in Automotive Embedded Software Development
Introduction to Sensors and Actuators in Automotive Systems, Role of Sensors in Automotive Systems, Sensor Technologies and Applications, Integrating Sensors with Embedded System, Understanding Actuators and Their Functions, Types of Actuators and Usage, Challenges in Actuator Integration, Data Acquisition from Sensors, Control Strategies Using Actuators, Real-World Example: Sensor and Actuator Integration
Introduction to Advanced Topics in Automotive Embedded Systems, Introduction to Embedded Systems in EVs and HVs, Challenges in Designing for EVs and HVs, Case Studies: Successful Embedded Systems in EVs and HVs, Vehicle Connectivity: Embedded Systems for Communication, Foundations of Autonomous Driving, Embedded Systems in Autonomous Vehicle Case Studies, Emerging Technologies in Automotive Embedded Systems, Challenges and Opportunities, Preparing for the Future of Automotive Technologies
Introduction to Future Trends and Innovations in Automotive Embedded Systems, Exploring Cutting-Edge Innovations, Impact of AI and Machine Learning, The Role of IoT and Connectivity, Understanding Automotive Cybersecurity, Strategies for Enhancing Security, Case Study: Cybersecurity Implementation, Embedded Systems for Sustainable Mobility, Innovations in Electric and Hybrid Vehicles, Future of Green Automotive Technologies, Wrap-up & Key Takeaways
Course: ML Algorithms
Modules:
Introduction to Training and Evaluating the Model, Algorithm concepts, Regression algorithms-Part 1, Regression algorithms-Part 2, Regression algorithms - lab part 1, Regression algorithms - lab part 2, Clustering algorithms, Clustering algorithms - lab, Classification algorithms-Part 1, Classification algorithms-Part 2, Classification algorithms - continued, Classification algorithms - lab
Image analysis algorithms, Text analysis algorithms- Part 1, Text analysis algorithms- Part 2, Text analysis algorithms - lab, Reinforcement learning algorithms, Forecasting algorithms, Exam tips
Course: Managing Debt
Modules:
How Debt Works, Debt - Interest, APR and Fees, Debt Amortization, Getting Ready to Apply for a Loan, Types of Debt, Good Debt vs. Bad Debt, Measuring and Assessing Your Debt, Mortgage Basics, Key Mortgage Ratios, Mortgage Amortization, Types of Mortgages - Part 1, Types of Mortgages - Part 2, Top 5 Mortgage Mistakes, HELOCS and HELs, Refinancing Home Loans
Student Loan Basics, Federal Student Loans, Student Loan Repayment Basics, Federal Student Loan Repayment Options, Student Loan Forgiveness Programs, Student Loan Deferment & Forbearance, Private Student Loans, Refinancing Student Loans
Types of Credit Cards, How Credit Cards Work, Credit Card Balance Transfers, 6 Tips of Maximizing Credit Card Rewards, Managing Your Credit Cards, Keeping Credit Card Debt in Check, Auto Loans, 4 Tips for Getting the Best Auto Loan for You, Personal Loans
Using the Good Debt/Bad Debt Framework to Prioritize Your Debt, Debt Paydown in the Context of Your Next Money Move, Paying Down Debt, The Snowball Method, The Avalanche Method, The Fireball Method
Course: Building Services with ASP.NET Web API
Modules:
Meet Your Instructor, What you will learn in this Lesson, Introduction to C#, C# Version History, C# Code Execution, Installing and Configuring Visual Studio, Hello World Program, What you will learn in this Lesson, Variable & Data Types, Operators, Conditional Statements, Looping Constructs, Jump Statements, What you will learn in this Lesson, Arrays & its Types, Manipulating Arrays, Strings and its Methods, Manipulating Strings, What you will learn in this Lesson, Object-Oriented Programming, Classes and Objects, Encapsulation & Abstraction, Constructors, Inheritance, Polymorphism
What you will learn in this Lesson, Abstract Class, Interface, Static Classes & Methods, Extension Methods, Partial Class & Methods, What you will learn in this Lesson, Property in C#, Indexer in C#, Enum in C#, Exceptional Handling, Handling Exceptions in Console, What you will learn in this Lesson, Anonymous Type, Delegates, Events, Anonymous Methods, Lambda Expression, Expression Tree
Introduction to Databases, Introduction to SQL Server, Types of Databases, SQL Commands, SQL Server Tables, Data Manipulation Commands, Constraints, Exercise on Constraints, SQL Clauses, Data Types and Variables, SQL Operators, SQL Predicates, SQL Joins, SQL Server Views, Types of Views, User Defined Views, SQL Sever Indexes, Creating Indexes, Introduction to Stored Procedure, User Defined Stored Procedure, DML Operations, SQL Server Functions, Scalar Functions, Table Valued Functions, SQL Server Triggers, Types of Triggers, Triggers Exercise
What you will learn in this Lesson, Introduction to SOA, Introduction to REST, Introduction to ASP.NET Web API, WCF vs Web API, What you will learn in this Lesson, Introduction to ASP.NET Web API, Building ASP.NET Web API, Creating First Web API Project, Creating Database for Web API, ASP.NET Web API CRUD Operations, Testing Web API Using Postman, Consuming Web API in ASP.NET MVC, What you will learn in this Lesson, Routing - Convention and Attribute Routing, Route Constraints, Content Negotiation, Media Type Formatters
Course: Leading from Within
Modules:
Course Introduction, Up Next: Can Ethics Be Taught?, Can Ethics Be Taught?, Up Next: Does Motive Matter?, Does Motive Matter?, Up Next: Are Faith and Work Integrated?, Are Faith and Work Integrated?, Up Next: How Should Success in Life be Measured?, How Should Success in Life be Measured?, Week 1 Summary Points
Week 2: Introduction, Up Next: The Pillars of Moral Character, The Pillars of Moral Character, Up Next: Living in Moral Alignment, Living in Moral Alignment, Up Next: Obedience vs. Conscience, Obedience vs. Conscience, Up Next: The Meaning and Importance of True Friendship, The Meaning and Importance of True Friendship, Up Next: Spiritual Leadership, Spiritual Leadership, Up Next: How to Decide What’s Right, Approaches to Moral Decision Making, Looking Back at Week 2
Week 3 Introduction, Articulating Your Leadership Point of View, Up Next: Is Being an Ethical Person Enough to Be Seen as an Ethical Leader?, Is Being an Ethical Person Enough to Be Seen as an Ethical Leader?, Up Next: The Notre Dame Ideal of Leadership, The Heart of True Leadership at Notre Dame, The Notre Dame Ideal of Leadership, Up Next: The Purpose of Business Reconsidered, The Purpose of Business Reconsidered, Up Next: The High Road to Ethics Management, The High Road to Ethics Management, Up Next: The Four Components – The Drivers of Moral Behavior, The Four Components Theory – The Drivers of Moral Behavior, Up Next: The Seven Deadly Sins in the Workplace, The Seven Deadly Sins in the Workplace, Summary of Week 3
Week 4 Introduction, Up Next: Competing Views of Human Nature and Society, Competing Views of Human Nature and Society, Up Next: How Should Benefits and Burdens in Society Be Distributed?, How Should Benefits and Burdens in Society Be Distributed?, Up Next: The Principles of Catholic Social Teaching, The Principles of Catholic Social Teaching, Up Next: A Blueprint for the Prosperity of Business-in-Society-in-Nature, A Blueprint for the Prosperity of Business-in-Society-in-Nature, Up Next: Resolving Cross-Cultural Ethical Dilemmas, Resolving Cross-Cultural Ethical Dilemmas, Up Next: Solitude at the Heart of Effective Leadership, Solitude at the Heart of Effective Leadership, Part 1, Solitude at the Heart of Effective Leadership, Part 2, Summary of Module 4, Congratulations!
Course: Managing Change when Moving to Google Cloud 日本語版
Modules:
コースの概要, 組織がクラウドに移行する理由, クラウドへの移行における課題, チェンジ マネジメント, クラウド成熟度のステップ, 人を重視したエピックスの発展, 5 種類の一般的なクラウド移行経路, Google Cloud のチェンジ マネジメント手法
Course: 又見大觀：《紅樓夢》中的烏托邦 (The Red Chamber Dream (3): Daguan Garden)
Modules:
1-1：紙上園林：虛構的樂園空間, 1-2：大觀園象徵意義之一：人間至極的富貴, 1-3：大觀園象徵意義之二與三：骨肉完聚的場域 & 處子的純潔與喜悅, 1-4：大觀園象徵意義之四與五：詩情的優美 & 宗教化的聖殿, 1-5：大觀園象徵意義之六：「春」的淨土, 1-6：曹雪芹創構大觀園的基本寓意
2-1：大觀園的闢建契機, 2-2：大觀園的基址與規模, 2-3：東府的園基與象徵意義, 2-4：西府的園基與象徵意義, 2-5：秦可卿房間擺設的情色隱喻
3-1：大觀園建造之最高主管——賈赦、賈政, 3-2：大觀園建造之實質掌舵者——賈珍, 3-3：大觀園的環境營運者, 3-4：絳洞花主——賈寶玉, 3-5：園中花魂——林黛玉、薛寶釵, 3-6：園中花神——以晴雯為例, 3-7：結論
4-1：「沁芳溪」——大觀園的水脈, 4-2：水流瀟湘館, 4-3：水斷稻香村, 4-4：水流匯總於怡紅院, 4-5：水流設計的象徵寓意
5-1：山石設計——蘊藉含蓄的美學原則, 5-2：「青山斜阻」的稻香村, 5-3：「山坡後」的櫳翠庵, 5-4：櫳翠庵象徵的妙玉性情 (一), 5-5：櫳翠庵象徵的妙玉性情 (二), 5-6：稻香村與櫳翠庵的比較, 5-7：山石香草環繞的蘅蕪苑, 5-8：蘅蕪苑與薛寶釵性格之呼應 (一), 5-9：蘅蕪苑與薛寶釵性格之呼應 (二)
6-1：命名的重要性, 6-2：寶玉題撰，賈政採用, 6-3：黛玉與諸姊妹的補擬, 6-4：元妃定名, 6-5：怡紅院：紅香綠玉、蕉棠兩植, 6-6：元妃改名，暗透心思, 6-7：結論
7-1：總論, 7-2：位置與座向：正殿的象徵寓意, 7-3：木石最近：瀟湘館與怡紅院, 7-4：大觀園空間規畫的象徵寓意, 7-5：怡紅院的座向, 7-6：屋舍大小與間數：稻香村, 7-7：屋舍大小與間數：蘅蕪苑、怡紅院、瀟湘館、秋爽齋, 7-8：身分與居處的關係
8-1：概論, 8-2：怡紅院的「迷宮」象徵, 8-3：怡紅院中「水」與「鏡」的寓意, 8-4：瀟湘館：窄小的房舍與「一明兩暗」的格局, 8-5：蘅蕪苑：寬廣的屋宇與極簡的布置, 8-6：秋爽齋：宏偉大氣的擺設, 8-7：秋爽齋中的「白玉比目磬」與「小錘」：君子風範之體現 (一), 8-8：秋爽齋中的「白玉比目磬」與「小錘」：君子風範之體現 (二), 8-9：空間開闊的稻香村與面目模糊的暖香塢、紫菱洲
9-1：物我和諧的人文傳統, 9-2：與物並樂的大觀園, 9-3：瀟湘館的燕子, 9-4：瀟湘館中的鸚鵡寓意 (一), 9-5：瀟湘館中的鸚鵡寓意 (二), 9-6：怡紅院、稻香村裏的動物, 9-7：蘅蕪苑、秋爽齋為何沒有動物？, 9-8：紫菱洲、暖香塢為何沒有動物？
10-1：怡紅院的芭蕉海棠, 10-2：瀟湘館的修竹、梨花, 10-3：稻香村的紅杏花與秋爽齋的芭蕉、梧桐, 10-4：蘅蕪苑的香草, 10-5：櫳翠庵的紅梅, 10-6：紫菱洲的水生植物, 10-7：大觀園崩潰的兩個原因
Course: Gen AI in Cybersecurity
Modules:
Course Introductory, General Artificial Intelligence, Role of Gen AI in Cybersecurity, AI on advancing cybersecurity, Cybersecurity Landscape, Core Concepts in Cybersecurity, Common Cyber Threats, Advanced Solutions in Cyber Security, AI-Powered Cybersecurity, Machine Learning for Threat Detection, Applications of Machine Learning, Behavioral Analytics, Anomaly Detection, Applications of Anomaly Detection, Intrusion Detection with Gen AI, Real-time Threat Monitoring, Monitoring and Response, Automation in Security Incident, AI in Security Operations, Network Security Strategies, Endpoint Protection, Technologies in Gen AI, Future Developments and Challenges, End Course Summary
Course: Data Collection and Processing with Python
Modules:
Introduction to the Specialization, What’s New? Updates and Improvements in the Second Edition, Welcome to Python Data Collection and Processing with Python, (Optional) How to Use the Interactive Textbook, Executing Python in the Jupyter Environment
Introduction - Nested Data, Nested Lists, Nested Dictionaries, JSON Format and the JSON Module, Conclusion - Nested Data, Introduction - Nested Iteration, Nested Iteration, Structuring Nested Data, Shallow Copies, Deep Copies, Extracting from Nested Data, A Worked Example of Nested Iteration, Conclusion: Nested Data and Nested Iteration
Introduction - Map and Filter, Map, Filter, Conclusion - Map and Filter, Introduction - List Comprehensions, List Comprehensions, List Comprehensions Example 1, List Comprehensions Example 2, Conclusion - List Comprehensions, Introduction - Zip, Zip, An Example Using Zip, Conclusion - Zip
Introduction - REST APIs, URLs, Domain Names, and IP Addresses, Routing, HTTP: Behind the Scenes, URL Query Parameters, REST API URLs, The requests Module, Generating URLs with requests.get, Conclusion - REST APIs, Introduction - Using REST APIs, Reading API Documentation: Datamuse, Debugging Calls to requests.get, Caching Response Content, The requests_with_caching Module, Conclusion - Using REST APIs, Introduction - Practice with REST APIs, iTunes API, flickr API, Conclusion - Practice with REST APIs, Fun with the Google Places API, Running Python in Hosted Systems, Creating Your Own API - Part 1, Creating Your Own API - Part 2, Creating Your Own API - Part 3, Introduction - Final Course Project
Course: Fundamentals of Materials Science
Modules:
Course advertisement, Course introduction, 1.1 Atomic bonding, 1.2 Crystal lattice, 1.3 Crystal structure of metals
1.4 Crystallographic points, directions & planes, 1.5 Crystal structure of ceramics, 1.6 Polymorphism & allotropy, 1.7 Structure of polymers, 1.8 Characterization of crystal structure
2.1 Equilibrium concentration of point defects, 2.2 Point defects in ionic solids, 2.3 Concept of dislocations, 2.4 Geometry of dislocations
2.5 Dislocations in real crystals, 2.6 Motion of dislocations, 2.7 Elastic properties of dislocations, 2.8 Forces on dislocations, 2.9 Surfaces & interfaces
3.1 Stress strain curves, 3.2 Elastic & viscoelastic properties, 3.3 Slip mechanism, 3.4 Twinning & kinking
3.5 Grain refinement, 3.6 Solid solution strengthening, 3.7 Second phase & work hardening, 3.8 Property evolution
3.9 Mechanical properties of ceramics (1), 3.10 Mechanical properties of ceramics (2), 3.11 Mechanical properties of polymers, 3.12 Introduction of composites, 3.13 Mechanical properties of composites
4.1 Kinetics of recovery and recrystallization (1), 4.2 Kinetics of recovery and recrystallization (2), 4.3 Grain growth after recrystallization, 4.4 Dynamic recovery and dynamic recrystallization
5.1 Diffusion phenomena, 5.2 Fick's law, 5.3 Solutions to diffusion functions, 5.4 Kirkendall & Darken
5.5 Thermodynamics of diffusion, 5.6 Atomic mechanisms of diffusion, 5.7 Factors that affect diffusion (1), 5.8 Factors that affect diffusion (2)
6.1 Basics of phase diagrams, 6.2 Thermodynamics of phase diagrams, 6.3 Effect of pressure on free energy, 6.4 Free energy of binary systems
6.5 Graphic construction of phase diagrams, 6.6 Gibbs phase rule, 6.7 Construction of phase diagrams, 6.8 Evolution of different phase diagrams
6.9 Spinodal decomposition, 6.10 Lever rule, 6.11 Binary phase diagrams, 6.12 Steels
6.13 Cast irons, 6.14 Three-component systems (ternary phase diagrams) (1), 6.15 Three-component systems (ternary phase diagrams) (2), 6.16 Three-component systems (ternary phase diagrams) (3)
7.1 Phase transformations basics of solidification, 7.2 Nucleation, 7.3 Heterogeneous vs homogenous nucleation, 7.4 Temperature time transformation
7.5 Phase transformations in steels (1), 7.6 Phase transformations in steels (2), 7.7 Phase transformations in alloy steels, 7.8 Precipitation, 7.9 Precipitation in Al alloys
Course: Intermediate Object-Oriented Programming for Unreal Games
Modules:
Course Introduction, Navigating a Coursera Course, Meet the Instructor (optional), Lesson Introduction, What Are Exceptions?, Exception Handlers, Lesson Introduction, Why Files?, Reading from a File, Writing to a File, Appending to a File, Game Configuration Data Files, Using Game Configuration Data, Part 1, Using Game Configuration Data, Part 2, SaveGame
Lesson Introduction, What Is Inheritance?, Family and Inheritance, Money and Inheritance, Actors and Pawns, Abstract Classes, Lesson Introduction, What Is Polymorphism?, Family and Polymorphism, Money and Polymorphism, Lesson Introduction, Loot, No Loot Teddy Bears, Loot Teddy Bears
Lesson Introduction, Pointers to Functions, Callback Functions, Single Delegates in Unreal, Multi-cast Delegates and Events in Unreal, Maps, Adding an Event Manager, Refactoring Teddy Bear Destruction, Lesson Introduction, Menu Buttons, Adding a Simple Menu System, Adding a Pause Menu
Lesson Introduction, The Event Manager, Menus, Basic Gameplay, Full Gameplay, Sound, Configuration Data, Finishing Up
Course: Shortest Paths Revisited, NP-Complete Problems and What To Do About Them
Modules:
Single-Source Shortest Paths, Revisted, Optimal Substructure, The Basic Algorithm I, The Basic Algorithm II, Detecting Negative Cycles, A Space Optimization, Internet Routing I [Optional], Internet Routing II [Optional], Problem Definition, Optimal Substructure, The Floyd-Warshall Algorithm, A Reweighting Technique, Johnson's Algorithm I, Johnson's Algorithm II
Polynomial-Time Solvable Problems, Reductions and Completeness, Definition and Interpretation of NP-Completeness I, Definition and Interpretation of NP-Completeness II, The P vs. NP Question, Algorithmic Approaches to NP-Complete Problems, The Vertex Cover Problem, Smarter Search for Vertex Cover I, Smarter Search for Vertex Cover II, The Traveling Salesman Problem, A Dynamic Programming Algorithm for TSP
A Greedy Knapsack Heuristic, Analysis of a Greedy Knapsack Heuristic I, Analysis of a Greedy Knapsack Heuristic II, A Dynamic Programming Heuristic for Knapsack, Knapsack via Dynamic Programming, Revisited, Ananysis of Dynamic Programming Heuristic
The Maximum Cut Problem I, The Maximum Cut Problem II, Principles of Local Search I, Principles of Local Search II, The 2-SAT Problem, Random Walks on a Line, Analysis of Papadimitriou's Algorithm, Stable Matching [Optional], Matchings, Flows, and Braess's Paradox [Optional], Linear Programming and Beyond [Optional], Epilogue
Course: Audio digital con Pure Data
Modules:
Introducción a Pure Data, Elementos del menú put, Operaciones matemáticas y objetos de control, Fundamentos acústicos y representación digital del sonido, Mi primer patch sonoro
Visualización de onda, Composición armónica y formas de onda, Modelado de onda en Pure Data, Tipos de síntesis, Mi primer sintetizador digital
Entrada de señales externas de audio, Reproducción archivos de sonido, Manipulación de archivos de sonido primera parte, Procesamiento de sonido, Instalación de objetos externos en Pure Data, Grabación de sonido
Optimización del espacio de trabajo en Pure Data, Subpatches y abstracciones, Superficies de control con protocolos ASCII y MIDI, Despedida, Comunicación en red
Course: Palliative Care Always Capstone Course
Modules:
Overview
Creative Communication
Promoting Wellness
Exercise Introduction
Support beyond the Patient
Specialization Summary
Course: Business Analytics Capstone
Modules:
Start Here! Project Description: Business Analytics Capstone, GYF Company Profile, The Importance of Mobile Advertising, Further Exploration into Online Advertising Response Models, Project Template
What is Descriptive Analytics? (Customer Analytics), Descriptive Data Collection (Customer Analytics), Passive Data Collection (Customer Analytics), Beyond Period 2 (Customer Analytics), Causality 1 (People Analytics), Causality 2 (People Analytics), Reverse Causality (People Analytics), Causal Data Collection and Summary (Customer Analytics)
Performance Evaluation: the Challenge of Noisy Data (People Analytics), Finding Persistence: Regression to the Mean (People Analytics), Extrapolating from Small Samples (People Analytics), The Wisdom of Crowds: Signal Independence (People Analytics), Process vs. Outcome (People Analytics), Hiring 1 (People Analytics), Hiring 2 (People Analytics)
The Newsvendor Problem (Operations Analytics), How to Build an Optimization Model (Operations Analytics), Optimizing with Solver (Operations Analytics), Simulating Uncertain Outcomes in Excel (Operations Analytics), Decision Trees (Operations Analytics), Linking Non-financial Metrics to Financial Performance: Overview (Accounting Analytics), Steps to Linking Non-financial Metrics to Financial Performance (Accounting Analytics), Incorporating Analysis Results in Financial Models (Accounting Analytics)
Applications: ROI (Customer Analytics), Radically New Data Sets in Marketing (Customer Analytics), Analytics Applied: Kohl's, Netflix, AmEx and more (Customer Analytics)