dipopotamus/custom_instruct_coursera_course_module_list huggingface dataset:
Course: Implant Dentistry
Modules:
Welcome to HKU Implant Dentistry MOOC, Module 1 - Message from the Instructor, What is a Dental Implant?, Teeth and Implants: Similarities and Differences  (Functional Aspects), Teeth and Implants: Similarities and Differences (Biological Aspects), Biology of Osseointegration, Implant Surface Modifications, My First Implant, Biomechanics: Short and Narrow Implants, Implant Selection, The Development of Dental Implantology and Important Concepts, Week 1 Sum-up Discussion
Module 2 - Message from the Instructor, Treatment Planning: Begin with the End in Mind, Treatment Planning: Put First Things First, Treatment Planning, Anatomy: The Maxilla, Anatomy: The Mandible, Systemic Risk Assessment (Part 1), Systemic Risk Assessment (Part 2), Assessing Patients' Expectations, Week 2 Sum-up Discussion
Module 3 - Message from the Instructor, Implant Timing and Placement Protocols, Biological Principles of Guided Tissue Regeneration (GTR), Planning Guided Bone Regeneration (GBR) in the Anterior Maxilla, Autogenous Bone Graft (*NEW Lecture), Implants in the Posterior Maxilla, Transalveolar Sinus Elevation, Lateral Window Augmentation, Implant Surgery: Suturing Techniques (Part 1), Implant Surgery: Suturing Techniques (Part 2), Post Surgical Healing, Post Surgical Complications, Implant Surgery Basics: Setting Up, Implant Surgery Basics: Instrumentarium (Dental Surgeon), Implant Surgery Basics: Instrumentarium (Dental Assistant), Implant Surgery Basics: Sterile Procedures, Implant Surgery Basics: Surgery Round-up, Step-by-Step Implant Surgery: Straightforward, Step-by-Step Implant Surgery: GBR, *NEW Video: Computer-Assisted Implant Surgery, Week 3 Sum-Up Discussion
Module 4 - Message from the Instructor, Restorative Pathways (1) - Video Lecture, Restorative Pathways (2) - Video Lecture, Screw-retained or Cemented Reconstructions, Implant Level or Abutment Level Restoration?, Restoring Edentulous Patients with Implant Supported Fixed Dental Prostheses, Restoring Edentulous Patients: Mandibular Overdenture, Impression Techniques, Immediate Loading, Implant Supported Provisional Restorations, Cementation Techniques, Impression Taking on a Single Implant, Immediate Loading - Full Arch (A Clinical Case), Tissue Conditioning with Temporary Restorations (A Clinical Case), Ceramic Complications in Implant Supported Reconstructions ( A Clinical Case) (*NEW Lecture), Week 4 Sum-up Discussion
Module 5 - Message from the Instructor, Peri-Implant Inflammations Diagnosis and Treatment, Technical Complications (Part 1), Technical Complications (Part 2) - Supplement Cases, Tissue Engineering and Regeneration, Dynamic Navigation in Implant Dentistry, Digital Workflow of Implantolgy, Life-like Simulations Using Digital Technology (*NEW Lecture), How to Make Radiographs on an Implant (Part 1), How to Make Radiographs on an Implant (Part 2), Week 5 Sum-up Discussion
Course: Study Skills for University Success
Modules:
Meet the Teacher, What's It Like to Be an International Student?, UCI Students Talk about Being a University Student, Time Management, What's Your Learning Style?, Successful Online Study, Academic Integrity
Introduction to Academic Listening, Notetaking Skills, Cornell Notetaking Method, Listening to the Introduction of a Lecture
Reading to Learn, Analyzing Charts and Graphs, Building Your Vocabulary, Test-Taking Strategies
Active Class Participation, Communicating with Professors, Making Friends with Classmates
Course: Become a CBRS Certified Professional Installer by Google
Modules:
Introduction, Citizens Broadband Radio Service and shared spectrum, CBRS ecosystem
The role of CPIs in CBRS
SAS-CBSD Communication
When is a CPI required?, Determining Installation Parameters, Determining antenna orientation and characteristics, Getting information from the CPI to the SAS, Google's SAS Portal, The CPI "password", What can go wrong?
Steps to certification
The future
Providing Consent and Contact Information, ProctorU Account Setup
Course: Introduction to Terraform
Modules:
Navigating Codio Assignments, How to Reset an Assignment in Codio, Terraform Basic Architecture (Optional Download), Terraform Constructs and HCL Syntax (Optional Download), What is Terraform State? (Optional Download)
Navigating Codio Assignments, Copy of How to Reset an Assignment in Codio, Provisioning Resources (Optional Download), Updating Resources (Optional Download), Managing Similar Resources and Dependencies (Optional Download)
Navigating Codio Assignments, How to Reset an Assignment in Codio, What is a Terraform Module and How to create it ? (Optional Download), Managing Sensitive Data (Optional Download), Building a Terraform Demo (Optional Download)
Course: Educación Basada en Evidencias
Modules:
Bienvenida, La Educación Basada en Evidencia y la problematización de la práctica educativa, Primeros pasos para una Educación Basada en Evidencias, Problematizo mi práctica, Problematizo mi práctica. Parte 2, Cierre del módulo 1
Introducción, Formulación de preguntas de indagación, Formulación de preguntas de indagación. Segunda parte., Formulación de preguntas de indagación. Tercera parte., Cierre del módulo 2
Introducción, Buscar evidencias para responder mis preguntas, ¿Qué es la recuperación de evidencias? (Términos, tesauros, operadores booleanos)., ¿En dónde puedo recuperar evidencias? (Bases de datos y sus recursos), La Bidi UNAM, Cierre del módulo 3
Introducción, Revisión crítica de las evidencias, ¿Cómo llenar la Matriz de sistematización de literatura?, Cierre del módulo 4
Introducción, Uso la evidencia para tomar decisiones., Cierre del módulo 5, Despedida
Course: Digital Channel Planning and E-Commerce Strategy
Modules:
Inbound and Outbound Marketing, Challenges of Channel Planning, Cross Media Planning, Digital and Traditional Marketing, Digital Channel Mix, Mobile Marketing, Social Media, Brian Lavery on How AccuWeather Uses Social Media, SEO, Conversion Rate Optimization, Paid Search, Email Marketing Overview, Outbound Email Marketing, Inbound Email Marketing, Subscriber Lists, Persona Development and Segmentation, Email Types
Display Advertising, Digital Display Creative Brief, Digital Display Tactics, The Growth and Importance of Video Content with Sadé Council, YouTube Channel Setup, Video Management, Display Campaign Metrics, Display Campaign Reporting, Google Analytics Reporting, Campaign Optimization
E-Commerce Overview, Conversion Rate Optimization, Value Proposition, E-Commerce Revenue Models, E-Commerce Solutions, Key Operational Considerations, Social Customer Service, Social Commerce, Social Customer Service Strategy, Collaborative Strategy Development
Course: Conceitos Básicos de Logística e Supply Chain
Modules:
Introdução
O que é a Logística?, Evolução da Logística, Da Logística ao Supply Chain, Repensando a Logística, O Futuro da Logística
Conceitos Básicos de Transporte, Redes de Transporte, Roteirização, Previsão de Custos, Avaliação de Desempenho
O Conceito do Estoque, Tipos e Características, Previsão de Demanda, Indicadores de Desempenho e Modelos de Reposição, Políticas de Manutenção de Estoques
Conceito de Nível de Serviço, Prestação de Serviço de Valor Agregado, Ciclo de Pedido
Projeto: Logística Integrada
Course: Big Data: adquisición y almacenamiento de datos
Modules:
Presentación de la especialización
Introducción, Instalación de la máquina virtual - Import start, Instalación de la máquina virtual - Tips, Instalación de la máquina virtual - Pyspark setup
Introducción, El ecosistema Hadoop, Modelo Map Reduce, HDFS: Hadoop Distributed File System, Arquitectura HDFS, YARN: Yet Another Resource Negotiator, HADOOP
Introducción, Tipos de datos, Tecnologías SQL y NoSQL, Consistencia, fiabilidad y escalabilidad, Tecnologías de BBDD NoSQL I, Tecnologías de BBDD NoSQL II, Introducción a BBDD analíticas y orientadas a grafos
Introducción, Adquisición de datos, Apache Flume, Apache Sqoop, Apache Kafka, SQOOP
Introducción, Bases de datos analíticas, Business Intelligence, Apache Impala, Apache Hive, Apache Spark, Graph processing (I), Graph processing (II), HIVE, SPARK
Course: Association Rules Analysis
Modules:
Introduction to Frequent Pattern Analysis, Frequent Itemsets  and Association Rules
Association Rule Mining
Apriori Algorithm, Constraint-based Association Rule Mining
Outliers
Association Rule Case Study
Course: Ethics in Engineering
Modules:
Welcome to Ethics in Engineering!, Overview of Ethical Models (Part 1), Overview of Ethical Models (Part 2), Introduction to the VW Emissions Scandal, The Backstory of the VW Emissions Scandal, What Happened with the VW Emissions Scandal?, The Aftermath of the W Emissions Scandal, Lessons Learned & Summary of the VW Emissions Scandal, One More Thing to Add on the VW Emissions Scandal
Introduction to DIA Baggage Handling Catastrophe, The Backstory of the DIA Baggage Handling Catastrophe, What Happened with the DIA Baggage Handling Catastrophe?, After the Event of the DIA Baggage Handling Catastrophe, Lessons Learned & Summary of the DIA Baggage Handling Catastrophe, One More Thing to Add on the DIA Baggage Handling Catastrophe
Introduction to the Therac 25 Radiation Machine Malfunction, The Backstory of the Therac 25 Radiation Machine Malfunction, What Happened with the Therac 25 Radiation Machine Malfunction?, The Aftermath of the Therac 25 Radiation Machine Malfunction, Lessons Learned & Summary of the Therac 25 Radiation Machine Malfunction, One More Thing to Add on the Therac 25 Radiation Machine Malfunction
Introduction to the Ariane 5 Rocket Launch Disaster, The Backstory of the Ariane 5 Rocket Launch Disaster, What Happened with the Ariane 5 Rocket Launch Disaster?, The Aftermath of Ariane 5 Rocket Launch Disaster, Lessons Learned & Summary of the Ariane 5 Rocket Launch Disaster, One More Thing to Add on the Ariane 5 Rocket Launch Disaster
Course: Designing Hardware for Raspberry Pi Projects
Modules:
Introduction to Module 1, Introducing SPICE, Flavors of SPICE, Introducing Qucs-S, Simulating RC Circuits with Qucs-S, Simulating Op-Amp Circuits, Active Filter Synthesis Tools 1 of 2, Active Filter Synthesis Tools 2 of 2, Passive Filter Synthesis Tools, Simulating in Kicad, Using the Kicad Tuner Feature, Summary of Module 1
Introduction to Module 2, The Kicad Website, Tracking Kicad Release Notes, Kicad Developer Workflow, Kicad User Forums, Kicad Official Help, Using the Project Manager, Setting Up the Schematic Editor, Creating Custom Title Blocks, Placing Schematic Elements, Drawing and Copying Schematics, Correctly Handling Unused Circuitry, Adding Reference Designators and Footprints, Schematic Metadata Tools, Schematic Documentation Methods, Electrical Rules Check Tool, Generating a Bill of Materials, Kicad Calculator Tools, Summary of Module 2
Introduction to Module 3, Learning From Kicad Example Projects, PCB Stackups, Entering Board Stackup, PCB Manufacturer Capabilities, Setting Design Constraints, Configuring Track and Via Sizes, Sending Schematic Data to the PCB, Floorplanning Your Design, Routing Your PCB, Documenting and Dimensioning Your PCB, Running Design Rule Checks, Generating a 3D Model of Your PCB, Generating Gerber Files, Sending Your Design To a PCB Manufacturer, Summary of Module 3
Introduction to Module 4, Installing Freecad, Freecad Release Notes and Help Wiki, Mouse Gestures and Model Properties, Demonstrating Parametric Modeling, Creating Pockets and Holes, Model Operations and Measuring, Multi-Body Modeling, Importing 3D Models from Kicad to Freecad, Using Constraints for Exact 3D Dimensions, Modeling a Case with Kicad 3D Model, Modeling the Case Interior, Designing the Case Lid, Finishing the Case 3D Model, Summary of Module 4
Course: Ethics, Culture, and Global Perspectives
Modules:
Meet Elizabeth Luckman, Introduction to Modules 1 and 2, Module 1 Introduction, Meet Professor Patricia Werhane, Case Study - Merck and River Blindness, Ethical Theories and Their Contributions to Decision-Making, Merck and Moral Reasoning, Merck's Decision
Stakeholder Theory Introduction, Bayer Crop Science and the Issue of Child Labor, Stakeholder Theory, Rights and Justice in Stakeholder Theory, Bayer Crop Science and a Framework for Moral Reasoning, Concluding Modules 1 and 2
Introduction to Modules 3, 4 and 5, Meet Professor Carlos Torelli, Globalization and the Forces Shaping Consumer Behavior, What is Culture?, Where Does Culture Exist and Manifest Itself?, Iconic Brands and Cultural Equity
Culture as a Knowledge Structure, Multi-Culture Mindsets, Biculturalism & Frame Switching, Assimilation to a Cultural Frame
What is Culture Mixing?, How Do People Respond to Culture Mixing? – Cognitive Reactions, How Do People Respond to Culture Mixing? - Evaluative Responses, Culture Mixing and its Consequences - Factors that Affect Evaluative Responses to Culture Mixing, Concluding Modules 3, 4 and 5
Course: Introduction to Scrum Master Profession
Modules:
Course Introduction: Scrum Master Profession, Scrum Master Role and Benefits, Expert Viewpoints: What does the Scrum Master Do?, Scrum Master Skill Inventory, Expert Viewpoints:  Scrum Master Skills, A Day in the Life of a Scrum Master
Scrum Master and Traditional Project Manager Comparison, Expert Viewpoints: Traditional Project Management and the Scrum Master, Developing Scrum Master Skills, Scrum Master Employment Opportunities, Scrum Master Levels, Expert Viewpoints: Why Become a Scrum Master
Expert Viewpoints: Scrum Master Employment, The Path to Certification PMI-ACP, PMI-DASM, and CSM, Expert Viewpoints: Scrum Master Job Environment, Expert Viewpoints: Advice for Aspiring Scrum Masters
Final Project Overview
Course: Managing Scope in a Java Enterprise Edition Application
Modules:
Instructor Introduction, Why Sessions Matter, Lab Walkthrough, Sessions in Action, Lab Walkthrough
Servlet Infrastructure, Cookies Lab Walkthrough, Session Scope, Lab 1 Walkthrough, Lab 2 Walkthrough, Lab 3 Walkthrough
Complementary Scopes, Lab 1 Walkthrough, Lab 2 Walkthrough
Course: Advanced Machine Learning and Deep Learning
Modules:
Deep Learning General Overview, Deep Learning Modeling 101, Performance, From Perceptron to Neural Networks, Layer Types, Loss Function, Optimizer, Deep Learning Frameworks, Python and Keras Installation
Multi-Target Regression Lab (Introduction), Multi-Target Regression Lab (Coding 1/2), Multi-Target Regression Lab (Coding 2/2)
Binary Classification Lab (Introduction), Binary Classification Lab (Coding 1/2), Binary Classification Lab (Coding 2/2), Multi-Label Classification Lab (Introduction), Multi-Label Classification Lab (Coding 1/3), Multi-Label Classification Lab (Coding 2/3), Multi-Label Classification Lab (Coding 3/3)
Convolutional Neural Networks 101, Convolutional Neural Networks Interactive, Convolutional Neural Networks Lab (Introduction), Convolutional Neural Networks Lab (1/1), Convolutional Neural Networks Exercise, Semantic Segmentation 101, Semantic Segmentation Lab (Introduction), Semantic Segmentation Lab (1/1)
Autoencoders 101, Autoencoders Lab (Introduction), Autoencoders Lab (Coding)
Transfer Learning and Pretrained Models 101, Transfer Learning and Pretrained Models Lab (Introduction), Transfer Learning and Pretrained Models Lab (1/1)
Recurrent Neural Networks 101, LSTM: Univariate, Multistep Timeseries Prediction (Introduction), LSTM: Univariate, Multistep Timeseries Prediction Lab (1/1), LSTM: Multivariate, Multistep Timeseries Prediction (Introduction), LSTM: Multivariate, Multistep Timeseries Prediction Lab (1/1)
Shiny Introduction, Popular Languages (Introduction), Popular Languages (global.R), Popular Languages (ui.R), Popular Languages (server.R), Reactive Expressions (101), Popular Languages (Reactive Expressions), App Deployment, GDP and Life Expectancy (Exercise), GDP and Life Expectancy (Solution)
Course: Las estaciones del año y el clima
Modules:
Bienvenida al curso, Las estaciones del año y sus manifestaciones, Geografía de la Tierra, Incidencia en el plano, Radiación solar, ¿Qué aprendimos?
Movimientos de la Tierra y sistemas de referencia, Solsticios y equinoccios, Insolación e irradiancia, Carrera del Sol, ¿Qué aprendimos?
¿Qúe es el clima?, Albedo, Efecto invernadero, Complejidad Climática, ¿Qué aprendimos?
¿Cómo se estudia el sistema climático?, La modelación climática, Cambios climáticos naturales, El Cambio climático actual, ¿Qué aprendimos?, Epílogo
Course: A Crash Course in Data Science
Modules:
About Your Instructors, What is Data Science?, Statistics by example activities, Machine learning, the basics, Machine learning further reading, What is Software Engineering for Data Science?, The Structure of a Data Science Project, The outputs of a data science experiment, The four secrets of a successful data science experiment, Data Scientist Toolbox, Separating Hype from Value
Course: Strategies for Assisted Living Communities during COVID-19
Modules:
COVID-19 Background, Transmission and Infection, Special Risks for Assisted Living Communities, Assisted Living COVID-19 Responses Challenges (Interview), Emergency Preparedness Plans, Emergency Preparedness and COVID-19 (Interview)
The 3 P’s of Infection Prevention and Control: Policies, Procedures, and Practice, Outbreak Prevention, Control Measures and Challenges, Managing COVID-19 Exposures and Infections, Responding to COVID-19 Exposures and Infections (Interview), Infection Prevention Strategies, Staffing Considerations, Engaging Staff in COVID-19 Prevention and Response (Interview), Strategies for Communication with Stakeholders and Media, Optimizing Communication with Stakeholders and Media (Interview)
Testing Strategies, Testing Strategies in Assisted Living Communities, Diagnostic Tests in Assisted Living Communities, Monitoring and Surveillance for Residents, Staff, Vendors, and Visitors, Screening Staff for COVID-19, Contact Tracing, Cohorting Strategies (Interview)
Supporting the Mental Health and Well-being of Staff, Strategies for Supporting Resident Well-being (Interview), Visitation and Communication Strategies for COVID-19, Special Populations: Dementia and COVID-19 (Interview)
Collaborating with Health Departments and Other Agencies
Overarching Resources
Course: The Basics of Rocket Science
Modules:
Welcome to Rocket Science 101, What is Position, Velocity, and Acceleration?, What is a Vector?, Ballistic Motion, Newton's 3 Laws, What is Momentum and Why does it Matter?, Aside: Everything is Relative, The Basics of Thrust, Introduction to the Rocket Equation, Why do Rockets have Stages?, Optional/Bonus | One More Thing for This Week: The V2 The First Modern Ballistic Missile
The Fundamental Concepts of an Orbit, Kepler's Laws, Our Place in the Solar System: Where Do We Live?—Part 1, Our Place in the Solar System: Where Do We Live?—Part 2, What is Escape Velocity, Escaping vs. Landing, A Lot of Types of Orbits Are Out There, Optional/Bonus: Orbit Demonstration, Hohmann Transfers to Circle the Sun, Why Don't We Throw our Garbage into the Sun?, Lagrange Points: What Are They?, Getting to Mars, Optional/Bonus | One More Thing for This Week: Sun Synchronous Orbits
Mass Flow Rate vs. Exhaust Velocity, Chemistry and Physics of Exhaust Velocity, Sizing a Rocket, Basics of Jet Engines, Vehicles that Use Jet Engines, Where is the Edge of Space?, Basics of Solid Engines, Solid Engine Grain Patterns, More on Boosters, Basics of Liquid Engines, Cooling the Bell + Pumps, Nozzle Designs, Optional/Bonus | One More Thing for This Week: Choosing the Right Engine
Introduction to Plasmas, Plasma Thrusters, Can we Use a Big Gun to Get to Space?, The Math of a Big Gun, Can we Use a Laser to Get to Space?, A Primer to Nuclear Engines, Radioisotope Thermoelectric Generators, Hybrid Engines, Other Engine Designs, Going to Mars: One of the Perspectives, Going to Mars: What Could We Do Better?, Optional/Bonus | Going to Mars: Working Through the Math, One More Thing for This Week: A Look Back on Basics of Rocket Science
Course: Mitigating Security Vulnerabilities on Google Cloud en Français
Modules:
Guide d'accueil et de démarrage
Présentation du module, Fonctionnement des attaques DDoS, Atténuation et prévention des attaques DDoS sur Google Cloud, Utilisation de Google Cloud Armor, Types de produits partenaires supplémentaires, Présentation de l'atelier : Configurer une liste de blocage du trafic avec Google Cloud Armor, Coursera: Premiers pas avec Google Cloud Platform et Qwiklabs, Récapitulatif du module
Présentation du module, Menace : rançongiciels, Mesures de protection contre les rançongiciels, Menaces : usage abusif des données, non-respect de la confidentialité, contenu sensible, Mesures d'atténuation des risques liés au contenu, Présentation de l'atelier : Masquer les données sensibles avec l'API DLP, Récapitulatif du module
Présentation du module, Security Command Center, Niveaux et tarifs, Démonstration : Utiliser Security Command Center, Cloud Monitoring et Cloud Logging, Présentation de l'atelier : Configurer et utiliser Cloud Logging et Cloud Monitoring, Cloud Audit Logs, Présentation de l'atelier : Configurer et afficher des journaux Cloud Audit Logs, Automatisation de la sécurité cloud, Récapitulatif du module
Course: إدخال البيانات في مايكروسوفت إكسل
Modules:
المقدمة, تحديد الخلايا, إضافة البيانات وتعديلها واستخدام أداة الملء التلقائي (Auto Fill), تنسيق الأرقام (Numbers) والتاريخ (Date) والوقت (Time), خاتمة
Course: AWS Storage Data Protection Services Getting Started
Modules:
AWS Storage Data Protection Services Getting Started
Course: Project - Monitoring and Control
Modules:
About the Specialization, About the Course, Introduction to Occupational Health, Safety and Environment, Reasons for Maintaining Good Standards of Health and Safety in the Workplace, Barriers to Good Standards of Health and Safety, Defining Quality, Dimensions of Quality, Construction Project Quality, Quality Management System Part- 1, Quality Management System Part- 2, 7 Quality Tools 1, 7 Quality Tools 2, Control Chart & Cost of Quality 1, Control Chart & Cost of Quality 2
Basic Concepts and Introduction - Procurement - 1, Basic Concepts and Introduction - Procurement - 2, Supply Chain Management, Logistics and Transportation part - 1, Logistics and Transportation part -2, Project Procurement and Subcontract Management (part 1), Project Procurement and Subcontract Management (part 2), Project Procurement and Subcontract Management (part 3), Project Procurement and Subcontract Management (part 4), Vendor Management, Inventory Management (part 1), Inventory Management (part 2), Inventory Management (part 3)
Stakeholder Introduction, Stakeholder Introduction part -2, Stakeholder Analysis part -1, Stakeholder Analysis part -2, Stakeholder Analysis- Cultural barriers, Stakeholder Engagement - 1, Stakeholder Engagement - 2, Importance of Communication, 7C's of Communication Part -1, 7C's of Communication Part -2, Project Communication, Project communication - report, Project communication - Kickoff meeting, Dealing with Difficult Stakeholders - 1, Dealing with Difficult Stakeholders - 2, Ways to avoid Miscommunication
Introduction to Monitoring and Controlling, Introduction to Analysis Techniques, Analysis Techniques, Visualization Techniques, Elements of Control, Case study - monitor and control Part -1, Case study - monitor and control Part -2, Case study - monitor and control Part -3, Case study - monitor and control Part -4, Monitor and Control Quality and risks
Course: Gemini in Google Slides - Bahasa Indonesia
Modules:
Pengantar Gemini di Google Slide, Membuat Gambar dengan Gemini, Memilih Gaya untuk Gambar Anda, Penjelasan Aktivitas
Course: Game Design and Development 5: Capstone Project
Modules:
Course Overview, "What is Success in Video Game Development" by Ziba Scott, Founder, Popcannibal, "Game Design Problem Solving Basics" by Scott Brodie, Founder and Lead Designer, Heart Shaped Games
"Finding An Art Style for Your Small Game" by Marie Lazar, 3D Environment Artist, Goodgame Studios, Randy Pitchford, Founder, Gearbox Entertainment on "The Artist's Dilemma"
"How To Get Better at What You Do" by Declan McClintock, Programmer, GEL Lab at MSU, "Optimization in 3D Video Games" by Jon Moore, Graphics Engineer, Iron Galaxy Studios, "Game Production Overview" by Chris Bray, Studio Head and Senior Producer, Stardock
Preparing to Ship - Part 1: Introduction, Preparing to Ship - Part 2: Game Polish and Balance, Preparing to Ship - Part 3: Optimization and Analytics, Preparing to Ship - Part 4: Packaging and Distribution, Marie Lazar, 3D Environment Artist, Goodgame Studios, Eric Arnold, Studio Architect of Programming, Deep Silver Volition, Will Bonner, Associate Test Engineer, Riot Games, Jon Moore, Graphics Engineer, Iron Galaxy Studios, Matthew Vorce, Programmer, Pixo Group, Chris Bray, Studio Head and Senior Producer, Stardock, Greg Donovan, Senior Producer, Deep Silver Volition, Scott Brodie, Founder and Lead Designer, Heart Shaped Games, Jared Riley, Engineering Manager, GREE International, Charles Roman, Senior Software Engineer, Radiant Entertainment, Steven Messinger, Lead Open World Designer, Rockstar Games, Shane McCloskey, Senior Designer, Insomniac Games, Future Directions - Part 1: Introduction, Future Directions - Part 2: MSU Academic Programs and Courses, Future Directions - Part 3: Other Resources
Course: Designing Software-Defined Branch Infrastructures
Modules:
Welcome to the Course, Network Requirements and Use Cases, SD-Branch Network Deployment, SD-Branch Devices and Topology, Implementing and Managing the SD-Branch Network
Security Considerations in SD-Branch Design, Security Best Practices for SD-Branch, Integrating Security Solutions with SD-Branch
Multi-Cloud Connectivity and Management, Traffic Flow and Cloud-Based Services, Cloud-Native Security Solutions, Conclusion
Course: Wrangling Data in the Tidyverse
Modules:
About This Course, Tidy Data Review, Reshaping Data, Wide Data, Long Data, Reshaping Data, Data Wrangling, R Packages, The Pipe Operator, Filtering Data, Reordering, Creating New Columns, Separating Columns, Merging Columns, Cleaning Column Names, Combining Data Across Data Frames, Grouping Data, Summarizing Data, Operations Across Columns
Working with Factors, Factor Review, Manually Changing the Labels of Factor Levels: fct_releve(), Keeping the Order of the Factor Levels: fct_inorder(), Advanced Factoring, Re-ordering Factor Levels by Frequency: fct_infreq(), Reversing Order Levels: fct_rev(), Re-ordering Factor Levels by Another Variable: fct_reorder(), Combining Several Levels into One: fct_recode(), Converting Numeric Levels to factors: ifelse() + factor(), Dates and Times Basics, Creating Dates and Date-Time Objects, Working with Dates, Time Spans
Working with Strings, stringr, String Basics, Regular Expressions, glue, Tidy Text Format, Sentiment Analysis, Word and Document Frequency, Functional Programming, For Loops vs. Functionals, map Functions, Multiple Vectors, Anonymous Functions
Exploratory Data Analysis, General Principles of EDA
Case Studies, Healthcare Coverage Data, Healthcare Spending Data, Join the Data, Census Data, Violent Crime, Brady Scores, The Counted Fatal Shootings, Unemployment Data, Population Density: 2015, Firearm Ownership
Important information before you start the project
Course: 經濟學概論：誘因與市場（Introduction to Economics: Incentive and Markets）
Modules:
課程簡介, 四個小故事, 人們如何做決策, 人們如何做互動, 經濟如何運作
市場定義, 需求, 供給, 市場均衡
價格上限, 價格下限
消費者福利, 生產者福利, 市場效率, 課稅的成本、福利效果, 國際貿易福利效果, 課程小遊戲結果影片(選美預測賽局)
Course: Beer Quality: Foam
Modules:
Meet Your Instructor: Charlie Bamforth, Introduction to Foam, Perceptions of Foam, Physics of Foam - Part 1, Physics of Foam - Part 2
Chemistry of Foam - Part 1, Chemistry of Foam - Part 2, Chemistry of Foam - Part 3, Measuring Foam, Measuring Foam Techniques
Process Impacts on Foam - Part 1, Process Impacts on Foam - Part 2, Process Impacts on Foam - Part 3, Interpreting Foam Problems - Part 1, Interpreting Foam Problems - Part 2
Gushing - Part 1, Gushing - Part 2
Course: Effective Problem-Solving and Decision-Making
Modules:
Accurately Identify the Problem
Generate Multiple Solutions with Various Team Perspectives
Make the Decision
Measure Success Through Data
Course: What Is Cybersecurity?
Modules:
Course Welcome (includes Welcome to Module 1.1)
The Definition of Cybersecurity, Key Cybersecurity Terms, Passwords and Credentials, Conclusion of Module 1.1
Module 2 Introduction, Cybersecurity Throughout History, New Video, Key Cybersecurity Laws and Regulations, part 2, Module 1.2 Conclusion
New Video, Spotlight on Social Engineering, Software Attacks, Hackers and Hacking, Pt. 1, Hackers and Hacking, Pt. 2, Disasters, Errors & Piracy, Technology Issues, Module 1.3 Conclusion
Course Conclusion
Course: Machine Learning Algorithms: Supervised Learning Tip to Tail
Modules:
Introduction to the Course, What does a classifier actually do?, Classification in scikit-learn, What are decision trees?, Generalization and overfitting, Classification using k-nearest neighbours, Distance measures, Weekly summary
Line-fitting, Optimal line-fitting, Loss and Convexity, Gradient Descent, Nonlinear features and model complexity, Bias and variance tradeoff, Regularizers, Loss for Classification, Weekly summary
Logistic Regression, Neural Networks, Hinge Loss, Basics of Support Vector Machines, Kernels, Weekly Summary
Regression assessment, Classification assessment, Learning Curves, Testing your models, Cross validation, Parameter tuning and grid search, Model Parameters, Weekly Summary
Course: Rediscovering Wesleyan Mission
Modules:
Methodist History as Christian Missiology
Articulating the Heart of Methodism
Salvation in Methodist Christianity
The Holy Spirit, Social Innovation, and the Spread of Scriptural Holiness
Course: Programming in Python
Modules:
Introduction to the Course, How is Python used in the real world?, Introduction to Programming, Why Python?, Environment check for Windows, Environment check for Mac, Running code - Command line VS IDE, Python syntax, spaces matter, Variables, Basic data types, Strings, Type casting, User input, console output, Math and logical operators, Control flow: If / else, else if, Switch statement, Looping constructs, Nested loops and the effect on algorithmic complexity, Module summary: Getting started with Python
Functions, Variable scope, Lists, Tuples, Sets, Dictionaries, kwargs, What are exceptions, Exception handling, File handling in Python, Creating Files, Reading Files, Module summary: Basic Programming with Python
What is procedural programming?, Algorithms, Algorithmic complexity, What is functional programming?, Pure functions, Recursion, Reversing a string on Python, Map & filter, Introduction to Object Oriented Programming, Python classes and instances, Instantiate a custom Object, Instance methods, Parent classes vs. child classes, Abstract classes and methods, Method Resolution Order, Module summary: Programming paradigms
What is a module in Python?, Accessing modules, The import statement, Writing import statements, Namespacing and scoping, reload() function, Popular packages: NumPy, pandas, Matplotlib, etc, Data analysis packages, Machine learning, deep learning and AI: PyTorch, TensorFlow, Python web frameworks, What is testing?, Types of testing, Test automation packages, Writing tests with PyTest, Test-driven development (TDD), Applying TDD, Module summary: Modules, packages, libraries and tools
Course Recap: Programming in Python, Congratulations, you have completed Programming in Python
Course: Introduction to Psychology
Modules:
Course Logistics, Links to Outside Resources
Lecture 1 - Psychology Emerges... (14:38 min), Lecture 2 - Before Freud (17:46 min), Lecture 3 - Freud (14:26 min), Lecture 4 - After Freud (16:25 min), Lecture 5 - Truth Seeking (12:35 min), Lecture 6 - Knowledge Association (15:49 min), Lecture 7 - Knowledge by Contrast (15:23 min)
Lecture 1 - Brain Matter (20:20 min), Lecture 2 - Your Light Switch (12:40 min), Lecture 3 - Subcortical Regions (13:27 min), Lecture 4 - The Occipital Lobe (10:59 min), Lecture 5 - The Temporal Lobe (14:51 min), Lecture 6 - The Parietal Lobe (16:07 min), Lecture 7 - The Frontal Lobe (18:10 min), Lecture 8 - Split Brain (14:40 min)
Lecture 1 - Outside In (14:26 min), Lecture 2 - Point of Contact (20:24 min), Lecture 3 - Perceiving What: Part 1 (18:38 min), Lecture 4 - Perceiving What: Part 2 (17:50 min), Lecture 5 - Perceiving Where (17:35 min), Lecture 6 - Selection (16:38 min), Lecture 7 - Self Awareness (13:21 min), Lecture 8 - Theory of Mind (13:40 min)
Lecture 1 - Forces of Nature (15:18 min), Lecture 2 - Rise of Behaviorism (15:59 min), Lecture 3 - Learning (14:09 min), Lecture 4 - Learning by Consequence (17:32 min), Lecture 5 - How to Flirt (17:38 min), Lecture 6 - Conditioned Superstition (10:02 min), Lecture 7 - Passing the Test (14:40 min), Lecture 8 - Observational Learning (11:52 min)
Lecture 1 - Memory is Not Singular: Part 1 (15:55 min), Lecture 2 - Memory is Not Singular: Part 2 (24:34 min), Lecture 3 - Reconstructive Memory (13:18 min), Lecture 4 - False Memory (9:40 min), Lecture 5 - Deja Vu (19:23 min), Lecture 6 - Familiarity (12:33 min), Lecture 7 - Amnesias (15:45 min), Lecture 8 - What is Not Forgotten (14:39 min)
Lecture 1 - Conformity (13:51 min), Lecture 2 - Authority (16:29 min), Lecture 3 - Protecting the Self (15:04 min), Lecture 4 - Good People Do Bad (16:25 min), Lecture 5 - Bystander Interference (12:00 min), Lecture 6 - Schemas, Stereotypes and Prejudice (16:16 min), Lecture 7 - Competition, Ignorance, Fear and Prejudice (18:28 min), Lecture 8 - Attraction (20:15 min)
Lecture 1 - Diagnosis (21:22 min), Lecture 2 - Anxiety Disorders (21:58 min), Lecture 3 - Disorders of Emotion (20:32 min), Lecture 4 - Schizophrenia (22:24 min), Lecture 5 - Personality Disorders (15:48 min), Lecture 6 - Insight Therapies (17:53 min), Lecture 7 - Cognitive Behavioural Therapy (20:30 min), Lecture 8 - Biological Treatments (21:44 min)
Lecture 1 - Sleep (24:59 min), Lecture 2 - Dreams (20:58 min), Lecture 3 - Hypnosis (38:49 min), Lecture 4 - Stages of Development (26:21 min), Lecture 5 - Parent-Child Relationships (27:14 min), Lecture 6 - Intelligence (27:29 min), Lecture 7 - PTSD (23:20 min), Lecture 8 - Love (31:19 min)
Relating the Class to World Events
Links to Resources
MOOC2 - Week 1 - Side Dish 1, DanVoyer, Complex Brains working and not, Halloween Side Dish Treat, Synesthesia Side Dish, Anthony Rucco Interview, Jessica Dere Interview, Until Next Time Beans!
Course: Introduction to Large Language Models - Bahasa Indonesia
Modules:
Pengantar Model Bahasa Besar
Course: Modernizing Data Lakes and Data Warehouses with GCP 日本語版
Modules:
コースシリーズの概要, コースの概要
モジュールの概要, データ エンジニアの役割, データ エンジニアリングの課題, BigQuery の概要, データレイクとデータ ウェアハウス, トランザクション データベースとデータ ウェアハウスの比較, 他のデータチームとの効果的な連携, データアクセスとデータ ガバナンスの管理, デモ: DLP API を使用してデータセット内の個人情報（PII）を検出, 本番環境に対応したパイプラインの構築, Google Cloud のお客様事例, 内容のまとめ, ラボの概要: BigQuery を使用して分析を行う, Coursera: Getting Started with Google Cloud Platform and Qwiklabs
モジュールの概要, データレイクの概要, Google Cloud のデータ ストレージと ETL のオプション, Cloud Storage を使用したデータレイクの構築, Cloud Storage のセキュリティ, あらゆるデータタイプの保存, リレーショナル データレイクとしての Cloud SQL, ラボの概要: Google Cloud SQL へのタクシーデータの読み込み
モジュールの概要, 最新のデータ ウェアハウス, BigQuery の概要, デモ: テラバイト規模のデータを数秒でクエリ, BigQuery を使ってみる, BigQuery へのデータの読み込み, ラボの概要: BigQuery へのデータの読み込み, スキーマの確認, デモ: スキーマの確認, スキーマ設計, ネストされたフィールドと繰り返しのフィールド, デモ: ネストされたフィールドと繰り返しのフィールド, BigQuery に最適なスキーマの設計, ラボの概要: BigQuery で JSON や配列データを操作する, パーティショニングとクラスタリングによる最適化, まとめ
コースのまとめ
Course: Managing Storage and Networking
Modules:
Course Introduction, Windows Server DNS architecture, Installing DNS role and configuring forwarding, Implementing Azure DNS, Troubleshooting DNS, Overview of Dynamic Host Configuration Protocol (DHCP), Configuring DHCP, Implementing DHCP Failover, Overview of IP Address Management (IPAM), Deploying, administering, and configuring IPAM, Setting up a VPN and implementing NPS, Implementing PKI and using WAP
Managing Windows Server file servers, Storage Spaces: Architecture and components, Data Deduplication: Architecture and functionality, Implementing, managing, and maintaining Data Deduplication​, Storage Replica: Features and prerequisites, Configuring Azure Files, Implementing Azure File Sync
Course wrap-up
Course: Advanced PyTorch Techniques and Applications
Modules:
Recommender Systems (101), RecSys (Coding 1/4) - Dataset and Model Class, RecSys (Coding 2/4) - Model Training and Evaluation, RecSys (Coding 3/4) - Users and Items, RecSys (Coding 4/4) - Precision@k and Recall@k
Section Overview, Autoencoders (101), Autoencoders (Coding)
Section Overview, GANs (101), GANs (Coding), GANs (Exercise)
Graph Neural Networks (101), Graph Introduction (Coding), Node Classification (Coding: Data Prep), Node Classification (Coding: Model Train), Node Classification (Coding: Model Eval)
Transformers 101, Vision Transformers (ViT), Train ViT on Custom Dataset (Coding)
PyTorch Lightning (101), PyTorch Lightning (Coding), Early Stopping (101), Early Stopping (Coding)
Semi-Supervised Learning (101), Supervised Learning (Reference Model, Coding), Semi-Supervised Learning (1/2: Dataset and Dataloader), Semi-Supervised Learning (2/2 Modeling)
Natural Language Processing (101), Word Embeddings Intro (101), Sentiment OHE Coding Introduction, Sentiment OHE (Coding), Word Embeddings with Neural Network (101), GloVe: Get Word Embedding (Coding), Glove: Find Closest Words (Coding), GloVe: Word Analogy (Coding), GloVe Word Cluster (101), GloVe Word (Coding), Sentiment with Embedding (101), Sentiment with Embedding (Coding), Apply Pre-Trained Natural Language Processing Models (101), Apply Pre-Trained Natural Language Processing Models (Coding), Vector Databases (101), Retrieval Augmented Generation (101), Claude 3 (101), Claude 3 (Coding), Zero-Shot Classification (101), Zero-Shot Classification (Coding)
OpenAI ChatGPT (101), ResNet (101), Inception (101), Inception Module (Coding), Extreme Learning (101), Extreme Learning (Coding)
Hooks (101), Hooks (Coding)
Model Deployment (101), Flask On-Premise, Hello World (Coding), API On-Premise with Deep Learning Model (Coding), API On-Premise: How to Consume the Data (Coding), Google Cloud: Deploy Model Weights (Coding), Google Cloud: Deploy REST API (Coding)
Conclusion to the Specialization
Course: Learn Markdown
Modules:
Test your knowledge!
Course: Energy management for real estate. Methods and digital tools
Modules:
The energy manager profile and main skills/activities
Structure of the energy sector at national and international level, Energy Commodity Supply and Markets, Heat transfer and energy balance of a building, Sun, light and glazing, Building technical systems
Energy audit, Energy efficiency of the building envelope, Energy efficiency of the technical systems, Renewable energy sources
Energy digital models and simulations, Retrofit of existing buildings
Course: Data Science Methodology
Modules:
Course Introduction, Data Science Methodology Overview, Business Understanding, Analytic Approach, Data Requirements, Data Collection
Data Understanding, Data Preparation - Concepts, Data Preparation - Case Study, Modeling - Concepts, Modeling - Case Study, Evaluation
Deployment, Feedback, Storytelling, Course Summary
Introduction to CRISP-DM
Course: Patient Safety and Quality Improvement: Developing a Systems View (Patient Safety I)
Modules:
The Scope of the Problem, History of Quality Improvement and Patient Safety: 1854 - 1966, History of Quality Improvement and Patient Safety: 1966 - Present, Mitigable or Preventable Harm: Crimean War, 1854-1856, "To Err is Human": Building a Safer Health System, "Crossing the Quality Chasm": A New Health System for the 21st Century, "Free From Harm": Accelerating Patient Safety Improvement Fifteen Years After "To Err is Human"
Definitions and Intersection of Quality and Safety, Harm, Sentinel Event, Error, Hazard, Risk, Root Cause Analysis (RCA), Failure Mode and Effects Analysis (FMEA), Quality, Safety, Culture
Overview of High Reliability, A Model for Understanding High Reliability, Analyzing Healthcare as a High Reliability Organization, High Reliability Organization Sociocultural Norms, Five Principles for High Reliability and Mindful Organizing, High Reliability Organization Behaviors and Habits, Patient Safety Tools of Mindful Organizing
Definition of a System, Definition of Systems Thinking, Reductionistic Thinking vs. Holistic Thinking, Swiss Cheese Model, First Order and Second Order Problem Solving, Whose Problem Is It?, Oncology Infusion Clinic: Case Study, Proactive and Reactive Systems Thinking Strategies, Conclusions
Course: Szemléletváltás
Modules:
1-1 Bevezetés – A Szemléletváltásról, 1-2 A lassú tanulói lét értéke, 1-3 A passzívtól az aktívig, 1-4 A múltad értéke, 1-5 A mesterfokú tanulás, 1-6 Fókuszált vagy diffúz – A megértés elmélyítése, 1-7 Hallgass-e zenét tanulás közben?, 1-8 Valami nehezet tanulsz? A kávéház trükk, 1-9 A környezeted hatással van arra, aki vagy, 1-10 A változó világ - A törekvések és a lehetőségek összeegyeztetése, 1-11 Természetes szenvedélyek, karrierválasztás, és a nem, 1-12 1. hét: Összefoglalás, Opcionális Bónusz Videó: Nelson Dellis Memória Tippjei 1.
2-1 2. hét. Bevezetés, 2-2 A gyenge memória értéke, 2-3 Meditáció és tudatosság – Mit keressünk, 2-4 A pomodoro technika mint hatékony meditáció, 2-5 Hogyan küzdjük le a halogatást, 2-6 A procedurális gördülékenység és a szándékos gyakorlás értéke, 2-7 Rossz osztályzatok és Barb kezei – A mentális trükkök haszna, 2-8 Tanulj meg átkeretezni - Címkézd fel!, 2-9 Vond be minden érzékedet a tanulásba – A "tanulási stílusok" buktatói, 2-10 Túlzásba vihető a tanulás?, 2-11 A társas elméd, 2-12 2. hét: Összefoglalás, Opcionális Bónusz Videó: Barb Oakley interjúja Adam Khoo, szingapúri vállalkozóval, Opcionális bónusz videó: Nelson Dellis memóriatippjei #2
3-1 Bevezetés, 3-2 Szenvedély és munka 1. rész, 3-3 Szenvedély és munka 2. rész, 3-4 Szenvedély és munka 3. rész, 3-5 Szemléletváltás - mit tegyünk, ha ellenállásba ütközünk, 3-6 Általános kompetencia vs. szelektív tudatlanság, 3-7 Az imposztor szindrómában rejlő érték, 3-8 Elkerülendő karrierutak és a karrier katasztrófák túlélése, 3-9 A rossz tulajdonságok mint legjobb tulajdonságok, 3-10 Az érzelmi intelligencia, 3-11 Összefoglalás, Opcionális bónusz videó: Nelson Dellis memóriatippjei #3, Opcionális bónusz videó: Nelson Dellis memóriatippjei #4 Hogyan jegyezd meg a neveket és az arcokat
4-1 Bevezetés, 4-2 Miért kell folyamatosan tanulnod?, 4-3 MOOC tippek 1. rész – Hogyan hozd ki a legtöbbet a MOOC-okból?, 4-4 A hagyományos és a MOOC tanítás piszkos kis titkai, 4-5 Látogatás Barb alagsorában: A tanulás tanulása titkos összetevői, 4-6 MOOC tippek 2. rész – Tekintsünk a minőségi tanulás mélyére, 4-7 Mentorok az életedben, 4-8 Olvass, olvass, olvass!, 4-9 Túlélés az új információs gazdaságban, 4-10  Összefoglalás, 4-11 Finálé: A rejtett lehetőségeid felfedezése, Opcionális Bónusz Videó: Nelson Dellis memóriatippjei 5. Nyelvtanulás, Memóriatippek: Nelson Dellis beszél arról, hogy hogyan memorizáljunk egy beszédet vagy egy szöveget
Course: Bases de la gestion de projet
Modules:
Bienvenue au Project Management Certificate offert par Google, Introduction au cours 1, Qu’est-ce que la gestion de projet?, Que fait un(e) chef de projet?, Compétences transférables à la gestion de projet, Cheminement pour devenir un(e) chef de projet, Du certificat à la réussite professionnelle, Trouver le rôle parfait, Gilbert : Compétences en gestion de projet dans mon rôle, Synthèse
Introduction : Devenir un(e) chef de projet efficace, La valeur réelle d'un(e) chef de projet, JuAnne : Parcours pour devenir un(e) chef de projet, Principaux rôles et responsabilités du(de la) chef de projet, Le rôle d'un(e) chef de projet au sein d'une équipe, Elita : Une journée dans la vie d'un(e) chef de projet, Les compétences de base d'un(e) chef de projet, Rachel : mon parcours pour devenir chef de projet, Leadership et dynamique d'équipe, Ellen : Caractéristiques d’un(e) bon(ne) chef de projet, Synthèse
Introduction : Le cycle de vie et les méthodologies de gestion de projet, Explorer les phases du cycle de vie d’un projet, Phases en action : Lancement et planification, Phases en action : Exécution et clôture, Introduction aux méthodologies de gestion de projet, Présentation des approches Waterfall et Agile, Introduction à Lean et Six Sigma, Mot de la fin
Introduction : structure et culture organisationnelles, Vue d’ensemble des structures classiques et matricielles, Quel est l’impact de la structure organisationnelle sur la gestion de projet, LAN : Travailler dans un bureau de gestion de projet, Introduction à la culture organisationnelle, Amar : Gestion de projet dans la vie et au sein de l’organisation, Introduction à la gestion du changement, Participer à la gestion du changement, Préparer votre recherche d’emploi, Félicitations ! Ce qui vous attend dans le cours 2
Course: Introduction to Software Development
Modules:
Introduction to professional certificate, Course introduction: Introduction to software development, The role of a software developer, Software, day to day, Landscape of programming languages, Software development lifecycle, Introduction to Java, features and applications, Introduction to variables and data types, Explore the different types of operators in Java, Handling text with Java, Strings in action, Module summary: Getting started with Java
Exploring conditional statements, Conditional statements in action, User input for conditional statements, The  switch statement, Common uses for switch statements, Understanding iterative structures in Java: For loops, Understanding iterative structures in Java:  While loop, Module summary: Control flow: Statements and loops
Using methods, Passing arguments to methods, Classes and objects, Grouping methods, Components of an object: Attributes and actions, Introduction to inheritance, Understanding the super class, Introduction to polymorphism, Polymorphism: Methods and arguments, Programming inheritance and polymorphism, Using polymorphic design, Introduction to encapsulation and data hiding, Introduction to access modifiers, Introduction to abstract classes, Interfaces and multiple inheritance, Module summary: Object-oriented programming basics
Course recap: Introduction to software development, Congratulations
Course: Cosmetic Formulation Science
Modules:
Course Introduction, What Is Cosmetic Formulation?, Goals of Cosmetic Formulation, Importance of Raw Materials, Types of Cosmetic Raw Materials, Selection, Sourcing, and Impact of Raw Materials in Cosmetic Science
General Surfactant Structure and Behavior, Anionic Surfactants, Cationic Surfactants, Amphoteric Surfactants, Nonionic/No Charge Surfactant, Introduction to Emulsions and Types of Emulsifers, The HLB Scale, Anionic Emulsifiers, Cationic Emulsifiers, Nonionic Emulsifiers, Liquid Crystal and Polymeric Emulsifiers, What are Preservatives?, Classes of Preservatives, Traditional Preservation—Parabens and Formaldehyde Donors, Determining Risk: When Do You Need Preservation?, What Is a Rheology Modifier?, Starches and Gums, Fatty Acids and Waxes, Polymers and Synthetic Materials, Fragrances and Flavors, Extracts and Plant-Based Functionals, Colorants, OTC Active Pharmaceutial Ingredients (APIs)
Appropriate Dress and PPE, Laboratory Safety Equipment, Best Practices In a Cosmetic Laboratory, Overhead Mixers and Stirrers, Propellers and Blades, Homogenizers and Dispersers, Heating Equipment and Consumables, pH Probes, Viscometers, Pycnometers, Overview—Scientific Process and Importance of Record Keeping, Note-Taking and Labeling Practices
INCIs, Trade Names, and IUPAC Names, Weight Percent, Mass Percent, and Mass, Order of Addition and Phases, Oil-in-Water Emulsions, Anhydrous Formulations, Surfactant Systems, Gel Systems, What is a Certificate of Analysis?
Course: Introduction to Social Media Analytics
Modules:
Social Media Monitoring - Part 1, Social Media Monitoring - Part 2, Social Media Monitoring - Part 3
Opinion Science and Dynamics - Part 1, Opinion Science and Dynamics - Part 2, Opinion Science and Dynamics - Part 3, Opinion Science and Dynamics - Part 4
Platforms - Part 1, Platforms - Part 2, Platforms - Part 3, Platforms - Part 4, Platforms - Part 5
Exercise, Finding the Right Role for Social Media in Innovation, The Customer Profile: Your Brand’s Secret Weapon
Course: Psicología de la Percepción
Modules:
Bienvenida al curso, La sensación y la percepción, El estudio científico de la sensopercepción
Pequeñas partículas de luz, La constancia perceptiva, El ambiente y los colores, La ilusión de rebote
Creer para ver, Las muchas caras de la atención