dipopotamus/custom_instruct_coursera_course_module_list huggingface dataset:
Course: Continuous Monitoring with Jenkins & Best Practices
Modules:
Gathering System Information, Manage Jenkins Configuration, Jenkins User Management, DEMO: User Management, Plugins for Reporting, Plugins for Code Analysis, Monitoring Jenkins, Server Maintenance, Jenkins Backup or Restoration, DEMO: Create Jenkins Job using Backup Plugin, DEMO: Create Remote Tests using Jenkins, Manage Plugin, DEMO: Managing Plugins With and Without Restart, Automation Testing, Reporting in Jenkins, DEMO: Run Automation Tests using Jenkins
Jenkins Best Practices, Global Security, Jenkins Authentication, Jenkins Credentials, Jenkins Access Management, Jenkins Access Roles, Jenkins Backup, Types of Jenkins Backup Plugin, Jenkins Restoration, DEMO: Create Jenkins Job using Backup Plugin, Project Statement, Final Project
Course: Simulation Models for Decision Making
Modules:
Specialization Overview, Alok Gupta: A Personal Introduction, Simulation Models for Decision Making Course Overview, Module 1 Overview, Introduction to Probability, Axioms of Probability, Dice Simulation, Permutations, Permutations and Probability, State Space (Combinations), Joint Probability, Simulate Rolling Two Dice Part 1, Simulate Rolling Two Dice Part 2, Two Dice Game, Rules of Probability
Module 2 Overview: Probability Distributions and Introduction to Monte Carlo Simulations, Intro to Common Probability Distributions: Uniform Distributions, Intro to Common Probability Distributions: Normal Distributions, Normal Distributions Lab, Intro to Common Probability Distributions: Exponential Distribution, Exponential Distributions Lab, Empirical Probability Distributions, Histogram Lab Part 1, Histogram Lab Part 2, Simulation Modeling, Types of Simulation Modeling, Best Practices for Simulation Modeling - What the Books Won't Tell You, Tricks of the Trade Part 1, Tricks of the Trade Part 2
Module 3 Overview: Monte Carlo Simulations, Simulating a Coffee Shop: Customers & Revenue, Coffee Shop Simulation: Monte Carlo - Model 1, Coffee Shop Simulation Lab, Coffee Shop Simulation Lab Analysis, Coffee Shop Simulation: Monte Carlo - Model 2, Coffee Shop Model 2 Lab, Coffee Shop Simulation: Monte Carlo - Model 3, Coffee Shop Model 3 Lab, Coffee Shop Simulation: Monte Carlo - Model 4, Coffee Shop Model 4 Lab Part 1, Coffee Shop Model 4 Lab Part 2, Coffee Shop Model 4 Lab Part 3, Coffee Shop Simulation: Revenue Comparisons - Models 1, 2, & 4
Module 4 Overview: Counterfactual Analysis and Discrete Event Simulations, Coffee Shop Simulation: Monte Carlo - Model 5, Coffee Shop Weather Simulation Part 1, Coffee Shop Weather Simulation Part 2, Coffee Shop Simulation: Monte Carlo - Counterfactual Analysis, Discrete Event Simulation, Discrete Event Simulation: Basic Concepts & Definitions, Discrete Event Simulation: Excel Lab Strategies, Excel Lab: Building Queues, Simulating M/M/1 Queues, Using Empirical Distribution to Simulate, Using Percentile Distribution, Creating X/Y/2 Simulations in Excel Part 1, Creating X/Y/2 Simulations in Excel Part 2, Summary of Discrete Event Simulation, Course in Review & Congratulations, Carlson School of Management - MS in Business Analytics
Course: Secure Your Data at Rest
Modules:
Course introduction, What is storage security?, Define data sovereignty, Overview of Azure Storage access, Shared access signatures, Deploy shared access signatures, What are shared keys?, Test key rollover, Overview of stored access policies, Create stored access policies, Module summary
Manage Azure AD storage authentication, Implement Azure Storage service encryption, Configure blob data retention policies, Enable the Secure transfer required​ property, Module summary
Overview of database security, Control who can access your database, Enable SQL Database authentication, Configure SQL Database firewalls, Monitor your database, Enable and monitor database auditing, Advanced data security for Azure SQL Database, Explore vulnerability assessment​, Module summary
What is Defender for Cloud?, How Defender for Cloud works, When to use Defender for Cloud, Enable Defender for SQL, Secure your data in transit, at rest, and on display, Configure dynamic data masking, Implement transparent data encryption​, Deploy Always Encrypted features, Deploy an Always Encrypted implementation, Module summary
Course summary, About the graded assessment, Congratulations, Next steps
Course: BIM Fundamentals for Engineers
Modules:
Welcome to CAD&BIM specialization, 101 Course
201 Definition of BIM, 202 From CAD to BIM, 203 Necessity of BIM, 204 BIM Benefits, 205 LOD in BIM
301 Revit: View controls - pan, zoom, rotate, and arrange views, 302 Revit: Visibility of elements, 303 Revit: Section a 3D view, 304 Revit: Retrieve information from schedules, 305 Revit: Measure distance in BIM models
401 Revit: Use the Grid tool to place grid lines, 402 Revit: Use the Level tool to define a vertical height, 403 Revit: Use the Toposurface tool to create topographic surface, 404 Revit: Use the Column tool to place a column, 405 Revit: Use the Beam tool to place a beam, 406 Revit: Use the Floor tool to create a floor, 407 Revit: Use the Wall tool to create a wall, 408 Revit: Use the Door tool to place a door, 409 Revit: Use the Window tool to place a window, 410 Revit: Use the Stair tool to create a stair, 411 Revit: Use Floor tool to create a parking ramp
501 Review for "BIM Fundamental", 502 Preview for "BIM Application"
Course: Violencias por razones de género
Modules:
Bienvenida, Introducción, La normalización de la violencia por razones de Género, Violencia estructural, Violencia sistemática, Daños y privilegios, Cultura machista, Discriminación por razones de género, Cierre
Introducción, Tipos de Violencia por Razones de Género (parte 1), Tipos de Violencia por Razones de Género (parte 2), Modalidades de la violencia por razones de género, Violencia institucional y revictimización, Cierre
Introducción, Amor romántico, La espiral de la violencia, ¿Cómo romper la espiral de la violencia? (1), ¿Cómo romper la espiral de la violencia?  Responsabilidad del Estado (2), Violencias cotidianas: micromachismos, Manxplicar, Maninterrumpir, Gaslighting, Cierre, Despedida
Course: DDoS Attacks and Defenses
Modules:
Welcome to DDoS Attack and Defense Course, History of DDoS, Mirai DDoS Attacks, Mirai Source Code Analysis
DDoS Defense Challenges and the Approaches, Major DDoS Defense Techniques, Intrusion Response and Intrusion Tolerance
Autonomous Anti-DDoS Network, Performance of CBQ/Rate Limit on DDoS Traffic
SCOLD: An Intrusion Tolerance Implementation, SCOLD Features and Benefits
Course: Explorando la Energía Sustentable
Modules:
Energía y sociedad, Adopción de la energía, Formas de energía, Energía y emisiones, Desarrollo sustentable, Desarrollo sustentable: Rapa Nui, Índice de desarrollo humano, Flujos de energía, Agua y desarrollo sustentable, Relación entre energía y agua
Definiendo energía, Conversión de energía, Midiendo la energía, Redefiniendo energía, Modelos de materia y energía, Interacciones fundamentales, Génesis de la energía, La Energía en el Sol, Energía en la tierra
Clima preindustrial, La naturaleza del clima, Dióxido de carbono, Inventario de carbono, Modelos climáticos, Cambio climático reciente, Escenarios climáticos, Proyección climática
Macroestrategia energética, Fisión nuclear, Fusión nuclear, Biodiesel, Bioetanol, Biogas, Transformación termoquímica de biomasa, Energía solar, Energía eólica, Energía hídrica, Energía mareomotriz, Energía undimotriz, Energía geotérmica, Carbón limpio, Sistemas híbridos de energía, Transporte sustentable
Course: Low Intermediate English: Help & Information
Modules:
Welcome to the Low Intermediate English Specialization, Introduction to Voxy, Tips for Taking the VPA, Introduction to Help & Information
Introduction to Asking for Directions
Introduction to Opinions & Preferences
Introduction to Making Requests
Introduction to Asking for Instructions
End-of-Course Project Overview, Study Tip: What Makes Language Learning So Hard for Adults?, Congratulations on Completing Help & Information!
Course: Data Science for Professionals
Modules:
Introduction to the Course & Meet the Instructor, Exploring Data Science, Data Wrangling Techniques, Exploratory Data Analysis (EDA), Introduction to Statistical Analysis, Introduction to Machine Learning, Building and Evaluating Predictive Models, Introduction to Data Visualization, Advanced Data Visualization Techniques, Communicating Insights from Data, Congratulations and Continuous Learning Journey
Course: Dynamique des fluides numérique appliquée
Modules:
Introduction au cours, Présentation de l'enseignant, Introduction aux modèles d'écoulement, Cas type et maillages de calcul, Simulation d'écoulement non visqueux, Simulation d'écoulement laminaire, Simulation d'écoulement turbulent, Efficacité du calcul numérique : Écoulement laminaire, Efficacité du calcul numérique : Écoulement turbulent, Comparaison des  différents régimes d'écoulement
Introduction aux diffuseurs et réducteurs, Études de la dépendance au maillage dans un diffuseur, Études de la dépendance au maillage dans un réducteur, Écoulement laminaire dans les diffuseurs, Écoulement turbulent dans les diffuseurs, Écoulement laminaire dans les réducteurs, Écoulement turbulent dans les réducteurs, Effets de la modification de la géométrie
Écoulements secondaires laminaires induits par la pression dans des conduites, Écoulements secondaires laminaires induits par la pression dans des tuyaux, Écoulements secondaires turbulents induits par la pression dans des tuyaux, Effets du modèle de turbulence sur la prévision des écoulements secondaires induits par la pression, Écoulements secondaires induits par la turbulence dans les conduites, Écoulements tourbillonnaires en fer à cheval, Écoulements tourbillonnaires marginaux, Prédiction des écoulements tourbillonnaires en bout d'hélice
Introduction aux écoulements autour d'un cylindre circulaire, Écoulement autour d'un cylindre circulaire à Re = 5, Écoulement autour d'un cylindre circulaire à Re = 50, Écoulement autour d'un cylindre circulaire à Re = 500, Écoulement autour d'un cylindre circulaire à Re = 5 000, Écoulement autour d'un cylindre circulaire à Re = 50 000, Écoulement autour d'un cylindre circulaire à des nombres de Reynolds élevés, Écoulement autour d'un cylindre circulaire en rotation
Introduction à la prédiction du transfert de chaleur, Conduction thermique dans les solides, Convection naturelle dans les cavités : Écoulement laminaire, Convection naturelle dans les cavités : Écoulement turbulent, Effets des propriétés des fluides sur la convection naturelle, Convection naturelle avec stratification instable, Simulation du transfert de chaleur par convection forcée, Simulation du transfert de chaleur conjugué
Course: Implementation of PhET Activities for STEM Education
Modules:
Welcome!, Getting Ready to Implement, Reviewing a Pre-Made Teacher Guide, Your Teacher Guide, Reflect on Your Teacher Guide
Facilitating Activities with PhET: An Overview, Preparing for a PhET Activity, Getting Started in Class, Starting Out with Open Play, Circulating and Helping Students in Small Groups, Pacing and Checks for Understanding, Supporting Student Ownership, Facilitating Whole Class Discussions, Pulling it All Together
Final Preparations, Observation Tool, Time to Teach!, Post-Implementation Reflection, Submission to the PhET Activity Database, Get Your Certificate
Course: UX / UI: Fundamentos para o design de interface
Modules:
Introdução, Sobre o NEU, Taqtile, O que é UX?, A importância do UX para fazer produtos que os usuários amam, O curso: Pesquisa, Exploração, Criação e Análise, Básicos para começar, Viabilidade, desejabilidade e capacidade, Como conduzir uma pesquisa?, Persona e Jobs to be done, Jornada do usuário
De onde tirar ideias?, Quais os diferentes tipos de protótipos?, Qual a importância do protótipo rápido?, O que é um protótipo de alta fidelidade?, Quando construir um protótipo de alta fidelidade?, Construindo um protótipo de alta fidelidade, Ferrametas de prototipação rápida, O que é um teste de usabilidade?
Introdução à análises de arquiteturas, O que são wireframes?  Qual a sua importância e quando usá-los?, O que incluir em um wireframe?, O que não incluir em um wireframe?, Como usar Grids no wireframe?, O que é o modelo atômico e porque usar?, Estamos chegando na metade do curso!
Princípios de design, O que é um Design Sprint, Como aplicar o Design Sprint? (Parte 1), Como aplicar o Design Sprint? (Parte 2), Evoluindo o wireframe para o layout final, O que é Style Guide?, As 10 heurísticas de usabilidade
Acessibilidade, Como lidar com multiplataformas, Entendo os padrões da web, Pensando nos espaçamentos e tamanhos, Tipografia e Espaçamentos, Como escolher tipografias, Cores, O que são Gestos e interações?, Pontos Positivos e Negativos dos Gestos e Interações, Transições e microinterações, Refinando o layout
A linguagem da empresa, Qual a importância de validar a Arquitetura de informação com o cliente antes de fazer o WireFrame?, Entregáveis, Testes remotos e ferramentas, O que fazer com os dados coletados?, Teste A/B, Quais as mudanças e os paradigmas do UX para o futuro?, Encerramento
Course: Designing an SAP Solution
Modules:
Course & Instructor Introduction, Introduction to Designing an SAP Solution, SAP ACTIVATE Methodology Overview, Design, Communicating and Pitching Designs, Re-Designing Based on Customer Feedback
Intro to Module 2, Design Review of Business Requirements, Design Review of Customer Technology Landscape
Intro to Module 3, Technical Design Tools, Technical Design Solution Approach and Planning, Develop a Technical Design Solution (Part 1), Develop a Technical Design Solution (Part 2)
Intro to Module 4, Communicating and Pitching Designs, Incorporating Customer Feedback into Technical Design, Communicating Effectively with Stakeholders, Finalizing and Signing Off the Technical Design
Intro to Module 5, Project Overview: Develop a Technical Solution Design
Course: GO Programming for Everyone: Part 1
Modules:
💻 Introduction & History of GO, 💻 Hello, 💻 Circle, 💻 Marathon, 💻 Temperature, 💻 Formats
💻 Syntax & Tokens, 💻 Identifiers, 💻 Declarations, 💻 Literals, 💻 Dice, 💻 Boolean
💻 Use of if, 💻 For Statements, 💻 Rock-Paper-Scissor, 💻 RPS with Looping, 💻 Switch Statements
💻 Functions & Slices, 💻 Arrays & Slices, 💻 findMin, 💻 Simple Recursion, 💻 Maps & Strings
💻 String Type, 💻 Palindrome, 💻 Iota & Enumeration, 💻 Subslicing, 💻 Reading Files, 💻 Writing Files, 💻 Bubble Sort, 💻 MergeSort
📓Final Exam
Course: Matrix Algebra for Engineers
Modules:
Week One Introduction, Definition of a Matrix | Lecture 1, Addition and Multiplication of Matrices | Lecture 2, Special Matrices | Lecture 3, Transpose Matrix | Lecture 4, Inner and Outer Products | Lecture 5, Inverse Matrix | Lecture 6, Orthogonal Matrices | Lecture 7, Rotation Matrices | Lecture 8, Permutation Matrices | Lecture 9
Week Two Introduction, Gaussian Elimination | Lecture 10, Reduced Row Echelon Form | Lecture 11, Computing Inverses | Lecture 12, Elementary Matrices | Lecture 13, LU Decomposition | Lecture 14, Solving (LU)x = b | Lecture 15
Week Three Introduction, Vector Spaces | Lecture 16, Linear Independence | Lecture 17, Span, Basis and Dimension | Lecture 18, Gram-Schmidt Process | Lecture 19, Gram-Schmidt Process Example | Lecture 20, Null Space | Lecture 21, Application of the Null Space | Lecture 22, Column Space | Lecture 23, Row Space, Left Null Space and Rank | Lecture 24, Orthogonal Projections | Lecture 25, The Least-Squares Problem | Lecture 26, Solution of the Least-Squares Problem | Lecture 27
Week Four Introduction, Two-by-Two and Three-by-Three Determinants | Lecture 28, Laplace Expansion | Lecture 29, Leibniz Formula | Lecture 30, Properties of a Determinant | Lecture 31, The Eigenvalue Problem | Lecture 32, Finding Eigenvalues and Eigenvectors (Part A) | Lecture 33, Finding Eigenvalues and Eigenvectors (Part B) | Lecture 34, Matrix Diagonalization | Lecture 35, Matrix Diagonalization Example | Lecture 36, Powers of a Matrix | Lecture 37, Powers of a Matrix Example | Lecture 38, Concluding Remarks
Course: Molecular Tumor Board 2020-21
Modules:
New Video
New Video
New Video
New Video
New Video
New Video
New Video
New Video
New Video
Course: A Guide to Healthcare Innovation: Principles and Practice
Modules:
Welcome to Global Health Innovation, Innovation and invention: what is the difference?, What makes an innovation, an innovation?
What are disruptive innovations?, The development of a frugal innovation - Arbutus Drill: Interview with Florin Gheorghe, An expert's views on the meaning of frugal innovation: Interview with Dr Yasser Bhatti, Defining characteristics of frugal innovation: Interview with Dr Yasser Bhatti, What is reverse innovation?, The challenge of reverse innovation
Design thinking, Design thinking in healthcare: Interview with Matt Harrison, Challenges in design projects: Interview with Matt Harrison, The process of making an innovation available, Arbutus Drill going to market: Interview with Florin Gheorghe
Diffusion of innovations
Course: Responsive Website Development and Design Capstone
Modules:
What's the Idea?
Pitching your Idea, Simple Example Pitch Video
Digitising the Idea
Building the App, Github, Time Management
Learning Outcomes, Keep working on your app!
Presenting your Project, Example Technical Demo Video
Course: Business English: Planning & Negotiating
Modules:
Video: Introduction to Wendy Asplin, Instructor for Course 3, Video: Course Overview, Video: Leaving a Voicemail, Video: Content and Vocabulary for Leaving a Voicemail, Video: Describing a Service, Part 1, Video: Interview with Holly Reynolds, Edgewater Hotel, Video: Describing a Service, Part 2, Video: Comparing Services, Part 1, Scenario: Comparing Venues, Video: Comparing Services, Part 2, Video: Making Decisions, Scenario: Making a Decision 1, Video: Vocabulary, Scenario: Making a Decision, 2, Video: Scenario Summary, Video: Communicating Decisions
Video: Introduction to Negotiating Effectively, Video: Interview with Dan Poston, Assistant Dean, UW Foster School Of Business, Video: Negotiation Strategies, Scenario: Phone Call #1, Scenario: Phone Call #2, Video: Successful Negotiation, Video: Cultural Differences in Negotiation, Video: Summary, Video: Negotiating Language, Scenario: Making a Proposal, Video: Details of a Proposal, Video: Negotiation Guidelines, Video: Persuasion, Video: Guidelines and Language Negotiating by Email, Video: Being Clear in Negotiations by Email, Video: Week 2 Summary
Video: Handling Problems, Describing Problems, Video: Language and Guidelines for Describing a Problem, Video: Introduction to Dealing with Problems, Video: Guidelines and Language for Identifying and Initial Response to Problem, Interview with Holly Reynolds about Customer Service, Video: Responding to a Customer Problem Example, Video: Language for Resolving Problems, Video: Following Up on a Problem, Part 1, Video: Following Up On A Problem, Part 2
Video: Planning Events, Interview with MOHAI, Video: Organizing An Event, Part 1, Scenario: Planning Meetings, Video: Organizing An Event, Part 2, Video: Making A To-Do List, Introduction To Announcements, Video: Writing a Formal Event Announcement, Video: Writing an Event Announcement, Video: Introduction To Writing Announcements, Video: The Language of Conferences
Course: OKR Certification: Leadership and Goal Setting
Modules:
Welcome from John Doerr, What are OKRs?, What Makes a Good OKR?, Writing Your First Objectives, Incorporating the "Why", OKRs are not BAU, Refining your Objective, The Science of Key Results, Writing Great Key Results, Inputs, Outputs & Outcome, The 3 Kinds of OKRs, Refining your KRs - Part 1, Refining your KRs - Part 2, The Module 1 Recap
Collective Commitment, Adapting OKRs for Your Organization, The North Star: Setting a Company-Wide Objective, Setting OKRs: The Meeting, Communicating OKRs, Aligning Objectives: Cascading, Aligning Objectives: Laddering, Who Owns an OKR?, Stretch for Amazing, The 5 Superpowers
The Key Players of OKRs, Committing to the Calendar, Tracking OKRs, Using OKR Tools (optional), OKRs in Daily Practice, The 3 Kinds of Dialogue: Cs, The 3 Kinds of Dialogue: Fs & Rs, How CFRs Improve Performance, How to Do CFRs Right, Changing OKRs Mid-Cycle, Grading OKRs, Self-Assessment & Reflection, Setting Up for the Next Cycle, How to Adopt OKRs Organization-Wide, Making the Case for OKRs, Does Every Team Need OKRs?, Picking Where to Start and When to Expand, What to Expect When Adopting OKRs
Stretching Successfully, Why OKRs Have Nothing to Do with Pay, Pause for Equity, OKRs are for Other Departments, Cascading, Laddering, and You, Building Momentum
Course: البطالة | Unemployment
Modules:
مفهوم البطالة (Unemployment), كيفية احتساب معدل البطالة, البطالة الاحتكاكية (Frictional Unemployment), السياسات العامة لتقليل معدل البطالة, البطالة الهيكلية وجمود الأجور (Wages Rigidity), قوانين الحد الأدنى للأجور, النقابات العمالية, نظريات كفاءة الأجور (Efficiency Wages Theories), عامل الوقت, نسب البطالة في الأعمار المختلفة
Course: Исследование и генерация данных для принятия бизн.-реш.
Modules:
Курс "Исследование и генерация данных для принятия бизнес-решений", Пакет анализа Data Analysis ToolPak в Excel
1-1.1. Основная терминология, 1-2.1. Сведение данных: таблицы частот, 1-2.2. Таблицы частот в Excel: количественные данные, 1-2.3. Таблицы частот в Excel: качественные данные, 1-2.4. Представление таблиц частот в виде столбчатых диаграмм в Excel, 1-3.1. Сведение данных: гистограммы, 1-3.2. Гистограммы в Excel, 1-4.1. Сведение данных: круговые диаграммы, 1-4.2. Круговые диаграммы в Excel, 1-5.1. Сведение данных: диаграммы рассеяния, 1-5.2. Диаграммы рассеяния в Excel
2-1.1. Меры центральных тенденций, 2-1.2. Среднее арифметическое и медиана в Excel, 2-2.1. Меры дисперсии, 2-2.2. Стандартное отклонение в Excel, 2-3.1. Процентиль и Z-оценка, 2-3.2. Z-оценка в Excel, 2-4.1. Дискретные и непрерывные случайные величины, 2-4.2. Математическое ожидание в Excel, 2-5.1. Нормальное распределение, 2-5.2. Нормальное распределение в Excel, 2-5.3. Стандартное нормальное распределение в Excel, 2-5.4. Выражения с "Меньше" в Excel, 2-5.5. Выражения с "Больше" в Excel, 2-5.6. Расчет между двумя значениями в Excel, 2-5.7. Поиск Z для заданной вероятности (INV) в Excel, 2-6.1. Таблица стандартного нормального распределения
3-1.1. Генерация данных, 3-2.1. Выборка, 3-2.2 Функция выборки в Excel, 3-3.1. Центральная предельная теорема и выборочные средние значения, 3-3.2. Демонстрация центральной предельной теоремы, 3-3.3. Выборочное распределение и эмпирическое правило в Excel, 3-4.1. Центральная предельная теорема – Выборочные доли
4-1.1. Доверительный интервал. Основы, 4-2.1. Доверительный интервал для средних арифметических, 4-2.2. Доверительный интервал для среднего арифметического в Excel, 4-2.3. Демонстрация влияния уровня достоверности в Excel, 4-3.1. Доверительный интервал для генеральной доли, 4-3.2. Доверительный интервал для генеральной доли в Excel, 4-3.3. Демонстрация доверительного интервала в Excel, 4-3.4. Пример начального оклада в Excel, 4-4.1. Размер выборки, 4-4.2. Доля размера выборки в Excel, 4-4.3. Среднее арифметическое размера выборки в Excel, 4-4.4. Влияние размера выборки в Excel, Образовательные онлайн-программы от бизнес-школы Gies College of Business
Course: Sales Force Management
Modules:
Introduction - Week 1, Overview of Recruitment Process, Job Analysis, Duties of a Salesperson, Job Qualifications, Recruitment Funnel and Recruitment Sources, Interview - Mike Cunningham from Fastenal, Interview - Mike Cunningham - Fastenal Vending Machine, Summary - Week 1
Introduction - Week 2, Interviewing, Interview - Kim Moyers from First United Bank & Trust, Interview - Kim Moyers - Personal Job Experiences, Employment Tests, Final Selection, Q&A - Scott Throckmorton from Fastenal, Summary - Week 2
Introduction - Week 3, Keys to Sales Training, Sales Training Development Process - Part 1, Sales Training Development Process - Part 2, Sales Training Content, Importance of Sales Training, Training Methods, Emerging Training Methods, Interview - Jerry R. Simpson from Borden Office Equipment, Q&A - Jerry R. Simpson, Summary - Week 3
Introduction - Week 4, Overview of Motivation, ERG Theory, Reward and Incentive Programs, Closing Thoughts, Theories of Motivation, Interview - Jerry R. Simpson - Motivating the Sales Force - Part 1, Interview - Jerry R. Simpson - Motivating the Sales Force - Part 2, Q&A - Jerry R. Simpson - Motivating the Sales Force, Interview - Dan Adams from Advanced Heating & Cooling - Part 1, Summary - Week 4
Introduction - Week 5, Challenges in Sales Evaluations, Contemporary Approach to Sales Force Evaluations, Output Factors, Input Factors, Types of Performance Appraisal techniques, Interview - Jerry R. Simpson, Q&A - Jerry R. Simpson, Interview - Dan Adams - Part 2, Summary - Week 5
Course: Cybersecurity for Data Science
Modules:
Introduction, Introduce the CIA Triad and Cybersecurity Basics, LinkedIn and Twitter for Professionals, Join LinkedIn Cybersecurity Course Group and Post
Digital Reputation and Cyberstory, Google Yourself, Passwords and Cybersecuirty, Basic Cryptography and Encryption
Hacking — White Hat, Grey Hat and Black Hat Hackers, IoT, Social Engineering
Facial Recognition and 'Big Brother', Getting Yourself Out There on LinkedIn and Twitter
Cybersecurity Interview Questions, Cybersecurity Interview Guidance, Cybersecurity Interview Reflection
Course: Programming and Application Foundations
Modules:
Course Introduction, Instructor Introduction, Final Exam Preparation, Module 1 Introduction, Introduction to Web Development, Web Development Basics, Introduction to HTML M1L2, CSS Video
Module 2 Introduction, JavaScript Basics, DOM Manipulation, JS Event Handling
Module 3 Introduction, Tools and Frameworks, M3L2 BootStrap, FrontEnd Frameworks React, Angular and Vue
Module 4 Introduction, M4L1 Client Server Model, Http Ptrotocol, M4L3 Http Requests and Response Cycle
Module 5 Introduction, Programming Concepts, Controls and Structures, Data Types and Variables
Module 6 Introduction, Relational Database, Relational Database Management, NoSQL
Module 7 Introduction, Server-Side Scripting, Data On Server, Dynamic Web Pages with Framework and Tools
Module 8 Introduction, Designing the Web Application, Developing the Web Application, Deploying the Web App
Summative Course Assessment
Course: Experiencing Design: Deepening Your Design Thinking Practice
Modules:
Introduction to the Innovator's Journey, Personal Transformation Through Design Thinking, The Five Core Practices of DT, The Impact of Cognitive Biases, Our Research at Darden, Design Talk: An Interview with Agnes Kwek, Immersion: How Mindsets Shift, The Science Behind Immersion, What Makes Immersion So Hard?, Why Immersion Matters
Sensemaking: How Mindsets Shift, The Science Behind Sensemaking, What Makes Sensemaking So Hard?, Why Sensemaking Matters, Design Talk: An interview with Sergio Venegas - Part 1, Design Talk: An interview with Sergio Venegas - Part 2, Alignment: How Mindsets Shift, The Science Behind Alignment, What Makes Alignment So Hard?, Why Alignment Matters
Emergence: How Mindsets Shift, The Science Behind Emergence, What Makes Emergence So Hard?, Why Emergence Matters, Design talk: An interview with David Kester, Imagining: How Mindsets Shift, The Science Behind Imagining, What Makes Imagining So Hard?, Why Imagining Matters, Design Talk: An interview with Dawan Stanford - Part 1, Design Talk: An interview with Dawan Stanford - Part 2
Learning in Action: How Mindsets Shift, The Science Behind Learning in Action, What Makes Learning in Action So Hard?, Why Learning in Action Matters, Design Talk: An interview with David Kester, Looking Back on Our Journey, Bringing DT Home to Your Organization, Design Talk: An Interview with Mark Wee, Design Talk:  Agnes Kwek on Bringing DT To Your Organization, PDP Assignment Overview
Course: Responsible AI: Applying AI Principles with GC - 简体中文
Modules:
课程简介, Google 和 Responsible AI, Google 的 AI 原则介绍
经济学人智库报告, 负责任的创新业务案例
AI 的技术注意事项和道德问题, 有关人工智能的顾虑
Google 的 AI 原则制定方法, 发现道德问题, Google 的 AI 原则的道德目标
Google 的 AI 治理, Google Cloud 的审核过程, 名人识别案例研究
问题发现过程, 从践行 AI 原则中学到的经验：挑战, 从践行 AI 原则中学到的经验：最佳实践
继续探索 Responsible AI 旅程
Course: Foundations of Digital Marketing and E-commerce
Modules:
Welcome to the Google Digital Marketing & E-commerce Certificate, Introduction to Course 1, What are digital marketing and e-commerce?, What do digital marketing and e-commerce specialists do?, Joi - Career Path To Digital Marketing, Transferable skills for digital marketing and e-commerce, Prisha - My path to working in digital marketing, Melba - My path to working in e-commerce, Andrew - My path to working in digital marketing and e-commerce, Launching your digital marketing or e-commerce career, Agency roles vs. in-house roles, Zuri - A day in the life of an entry-level digital marketer, Jebb - A day in the life of an entry-level e-commerce account manager, Wrap-up
Welcome to week 2, How digital marketing and e-commerce create value, Jen - Diversity in digital marketing, Janice - Inclusive marketing, Xiomara - Inclusive marketing, The customer journey and journey maps, The marketing funnel, The top of the funnel: Awareness and consideration, Measuring success at the top of the funnel, The bottom of the funnel: Conversion and loyalty, Measuring success at the bottom of the funnel, Wrap-up
Welcome to week 3, The value of brands for digital marketing, The elements of a digital marketing strategy, Define your marketing goals, Paid, owned, and earned media, Attract customers with search engine optimization, Reach customers with search engine marketing, Introduction to social media and email marketing, Social media marketing basics, Build relationships with email marketing, Wrap-up
Welcome to week 4, Measure progress with performance marketing, Working with data, Attribution models for digital marketing, Data storytelling basics, Prepare for your job search, Elle - Build confidence, Wrap-up, Congrats! What’s coming in Course 2
Course: Le marketing dans un monde numérique
Modules:
Bienvenue dans Le marketing dans un monde numérique, Vue d’ensemble du marketing, Apprendre à vos conditions, Produit, Proposer des idées de produits, Co-création avec le client partie 1, Co-création avec le client partie 2, Introduction de l’étude de cas : Threadless, Économie collaborative partie 1, Économie collaborative partie 2, Exercice : Ideas.Lego.com, Discussion avec Martijn Scheijbeler
Promotion, Évaluations de produits, Contenus générés par les utilisateurs partie 1, Contenus générés par les utilisateurs partie 2, Introduction de l’étude de cas : GoPro, Images de marques sosies parodiques (Doppelgänger) partie 1, Marques sosies parodiques (Doppelgänger) partie 2, Exercice : Wikipedia.org, Discussion avec Rafael Schwarz
Placement, Achats en ligne, Nouveau commerce de détail partie 1, Nouveau commerce de détail partie 2, Introduction de l’étude de cas : Tesla, Auto-fabrication partie 1, Auto-fabrication partie 2, Exercice : Thingiverse.com, Discussion avec Alan Craig et Max Collins
Vue d’ensemble des prix, Étude de prix en ligne, Prix libre, Prix libre 2, Introduction de l’étude de cas : Panera, Freemium partie 1, Freemium partie 2, Exercice : It’s Full of Sparks, Discussion avec Cody Burch, Programmes en ligne de Gies
Course: Inspiração e motivação de indivíduos
Modules:
01.01 - Boas-vindas, 01.02 - Reações à visão de Steve Jobs para a Apple, 01.03 - O caso de negócios para a liderança visionária, 01.04 - Como uma visão clara cria energia, 01.05 - Por que fazemos o que fazemos?, 01.06 - Como começar com POR QUE é essencial, 01.07 - Como é o sucesso?, 01.08 - Como devemos agir para garantir o sucesso?, 01.09 - Jobs responde às três perguntas?, 01.10 - Parte 1: Linguagem visionária, 01.11 - Parte 2: Linguagem visionária - Reflexão sobre a Sociedade dos Poetas Mortos, 01.12 - Parte 3: Linguagem visionária - Discurso de MLK, 01.13 - Como desenvolver uma visão para sua equipe, 01.14 - Linguagem verbal e não verbal, 01.15 - Parte 2: Linguagem verbal e não verbal, 01.16 - Como projetar seu escritório para reforçar sua visão, 01.17 - Aprenda a ser carismático, 01.18 - Recapitulação: Como tornar-se um líder visionário
02.01 - Metas e desempenho, 02.02 - Os riscos de metas desafiadoras, 02.03 - Metas SMART, 02.04 - Limitações das metas SMART, 02.05 - Tornando as metas significativas, 02.06 - Definição de metas SMART e significativas, 02.07 - Autonomia e variedade de habilidades, 02.08 - Recapitulação: Definição de metas eficazes
03.01 - Avaliação: Fatores de desempenho, 03.02 - Fatores de desempenho e motivação, 03.03 - O caso de negócios para a gestão de funcionários, 03.04 - Entendendo as necessidades humanas para motivar as pessoas, 03.05 - Entendendo as necessidades das pessoas para impulsionar a motivação, 03.06 - Fatores de satisfação x insatisfação, 03.07 - Como diagnosticar se alguém está satisfeito ou insatisfeito no trabalho, 03.08 - Motivadores extrínsecos x intrínsecos, 03.09 - Como criar significado no trabalho, 03.10 - Exercício: Mapeamento retroativo de valores e necessidades do comportamento, 03.11 - As quatro principais armadilhas da motivação, 03.12 - Recapitulação: Fatores de desempenho
04.01 - Equidade, 04.02 - A Tolice de recompensar A enquanto se espera por B, 04.03 - Tipos de reforço, 04.04 - Gestão pelo medo, 04.05 - Programações de reforço, 04.06 - Funções de uma avaliação de desempenho, 04.07 - Desafios de uma avaliação de desempenho, 04.08 - Fornecendo um feedback de desempenho crítico, 04.09 - Dando um feedback de desempenho crítico, 04.10 - Buscando feedback de desempenho, 04.11 - Buscando feedback e avaliações de desempenho, 04.12 - Recapitulação: Alinhando recompensas com comportamentos
Course: AI Applications in Marketing and Finance
Modules:
Introduction to AI Applications, Module Introduction, Customer Journey, Making the Customer Journey Shorter, Moving Upstream in the Customer Journey, Recognizing New Forms of Risk with Machine Intelligence, Organizational Structure for Analytics, A Template for AI Transformation
Personalization: Recommendation Systems, Personalization: Impacts on Markets, Personalization: Addressing the Challenges, Interview with Scott Wong
Introduction, Process: Scientific Method, Process: Data Science Workflow, Corporate Credit Risk, Credit Risk - KPIs, Credit Risk - Credit Ratings, Credit Risk - Credit Ratings Prediction, Credit Risk - Data, Credit Risk - Model Prep, Credit Risk - Model Training, Credit Risk - Models vs. Data, Credit Risk - Error Analysis, Credit Risk - Concluding Thoughts
Interview with Apoorv Saxena, Machine Learning in Finance: Fraud Detection, Machine Learning in Finance: Additional Applications, Interview with Carleigh Jaques
Course: Données et Gouvernance Urbaine
Modules:
Introduction générale, Introduction de la séance : Quand la donnée arrive en ville, Les données : des infrastructures sociotechniques, Convenir puis mesurer, Enjeux politiques du réductionnisme urbain, Données et recomposition de pouvoirs, Le pouvoir sémantique des institutions publiques mis à l’épreuve, Interview Pierre Emmanuel Brunet - Rouen Respire
Introduction de la séance : Données et capitalisme urbain, De la sharing economy au digital labor, La construction du marché de la smart city, Interview Vincent Vendenberge - Engie Digital, Le modèle de la plateforme : l’intermédiation algorithmique
Introduction de la séance : Données et administration territoriale, L’open data : mise sur agenda et mise en œuvre, Administration locale et données, Interview Martha Norrick - MODA - NY Analytics, Introduction à l'action publique équipée par la donnée
Introduction à la séance : Données et Gouvernementalité algorithmique, La protection des données personnelles : le RGPD, Gouverner la ville avec des algorithmes : quelles différences ?, Surveillance institutionnelle, commerciale et citoyenne
Course: Intel® Technical Pro – Principles of AI Software & Ecosystem
Modules:
Resource Guide: Intel Bringing AI Everywhere
Resource Guide: The Intel® AI Software Value
Resource Guide: Gaudi® AI Accelerator, Performance Claims: Gaudi® AI Accelerator
Resource Guide - Getting Started with Gaudi and Model Migration
Resource Guide - Deep Learning Training
Resource Guide: OpenVINO™ Toolkit
Resource Guide: Navigating AI Software Optimizations
Resource Guide: AI in HPC, Performance Claims: AI in HPC
Resource Guide - Taking AI into the Solution Space, Performance Claims - Taking AI into the Solution Space
Resource Guide: Leading the AI PC Era
Congratulations!
Course: Advanced Features and Deployment
Modules:
Create Listing Page and Use Swiper to Add the Image Slider, Add Share Copy Functionality, Add the Listing Information to the Listing Page, Create the Landlord Contact Component, Add Map to the Listing Page Using Leaflet and react-leaflet Packages
Create Slider Component and Add It to the Homepage, Complete Homepage By Adding Recent Offers, Places for Rent, and Places for Sale
Complete the Offers Page, Create the Places for Rent and Sale Pages
Deploy to Vercel
Course: The Power of Statistics
Modules:
Introduction to Course 4, Evan: Engage and connect, Welcome to module 1, The role of statistics in data science, Statistics in action: A/B testing, Descriptive statistics versus inferential statistics, Measures of central tendency, Measures of dispersion, Measures of position, Alok: Statistics as the foundation of data-driven solutions, Compute descriptive statistics with Python, Wrap-up
Welcome to module 2, Objective versus subjective probability, The principles of probability, The basic rules of probability and events, Conditional probability, Discover Bayes' theorem, The expanded version of Bayes’s theorem, Introduction to probability distributions, The binomial distribution, The Poisson distribution, The normal distribution, Standardize data using z-scores, Work with probability distributions in Python, Wrap-up
Welcome to module 3, Cliff: Value everyone's contributions, Introduction to sampling, The sampling process, Compare sampling methods, The impact of bias in sampling, How sampling affects your data, The central limit theorem, The sampling distribution of the proportion, Sampling distributions with Python, Wrap-up
Welcome to module 4, Introduction to confidence intervals, Interpret confidence intervals, Construct a confidence interval for a proportion, Construct a confidence interval for a mean, Confidence intervals with Python, Wrap-up
Welcome to module 5, Elea: Keep learning in the ever-changing data space, Introduction to hypothesis testing, One-sample test for means, Two-sample tests: Means, Two-sample tests: Proportions, Use Python to conduct a hypothesis test, Wrap-up
Welcome to module 6, Sean: Showcase your talents to potential employers, Introduction to your Course 4 end-of-course portfolio project, End-of-course project wrap-up and tips for ongoing career success, Course wrap-up
Course: Coding for Designers, Managers, & Entrepreneurs III
Modules:
Welcome to the Course, Introduction to Week 1, Intro to the Case - Automating Your Gruntwork with Javascript, Overview of the Sample Code, Stepping Through the Sample Code, Solution to the Case
Introduction to Week 2, About the Readings, Case Intro - Creating & Managing Users with Google Firebase & Sample App, Application Demo, Intro to the Sample Code - Part 1, Intro to the Sample Code - Part 2, Setting Up a Project on Google Firebase (optional), Asynchronous Execution in JS, Observer Pattern in JS, Solution to the Case
Introduction to Week 3, Finishing Your Prototype, Finishing Your Peer Review, Completing a Portfolio Entry
Course: Introducción a las redes sociales. Sus objetivos y métricas.
Modules:
¡Bienvenido a tu curso!
Importancia de las redes sociales, ¿Cómo se genera una red social?, Historia de las redes sociales, Objetivos, ventajas y desventajas de las redes sociales
Crear contenido en la plataforma, Adaptar el contenido, Diseño de experiencia con redes sociales, Vínculos con audiencia, Impulsar nuevas audiencias
Los factores del cambio social a partir del uso de las redes sociales, Las características de la comunicación en redes sociales, Influencia de las redes sociales en los usuarios
Principales características de globalización y acercamiento a la sociedad, Globalización de medios, Audiencia global y subcultura
Beneficios de social listening, Características del listening y moderación, Herramientas del social listening, Cierre del curso
Course: AWS Flash - SaaS Technical Fundamentals
Modules:
AWS Flash - SaaS Technical Fundamentals
Course: Data Tidying and Importing with R
Modules:
Welcome, Tidy Data, Tidying Data, Code Along :: Country Populations Over Time, Joining Data, Code Along :: Continent Populations
Data Types, Code Along :: That's My Type, Data Classes, Code Along :: Halving CO2 Emissions, Importing Data, Code Along :: Importing and Recoding
Web Scraping, Web Scraping Considerations, Code Along :: Scraping an eCommerce Page, Code Along :: Scraping many eCommerce Pages
Course: Coberturas de riesgo con futuros y opciones para agrobusiness
Modules:
Universidad Austral, Transacciones spot y contratos forward, ¿Cómo se negocian contratos de futuros?, Sistema de garantía: la cámara compensadora., Comparación entre un forward y un futuro., Leyendo información de los mercados de futuros: volumen e interés abierto, ¿Cómo se forman los precios en un mercado de futuros?, ¿Cómo invertir en los mercados de futuros?, Cómo realizar coberturas de  riesgo precio: el caso del productor., Cómo realizar coberturas de riesgo precio: el caso del procesador., ¿Qué se entiende por base?, ¿Cómo afecta a las coberturas el riesgo de base?
Características generales de los contratos de opciones., ¿Qué es un contrato de opción call?, ¿Qué es un contrato de opción put?, El precio de las opciones., Ejercicio, cancelación y expiración de las opciones, Sistema de garantía: ¿cómo se administra el riesgo de incumplimiento de las opciones?, ¿Cómo invertir con opciones?, ¿Cómo realizar coberturas con opciones?
La relación entre el precio de venta del físico y el del Mercado a Término, Posición de riesgo precio de un productor, ¿Qué es una cobertura de riesgo precio?, Estrategias Básicas de Riesgo - Precio, Pasos previos al manejo del riesgo precio, Explicación, Simulación: Explicación, Estrategias avanzadas
Analizando la posición de riesgo precio de un consumo, Pasos previos al manejo del riesgo precio, Explicación (Parte 1), Explicación (Parte 2), Coberturas para el consumo (Parte 1), Coberturas para el consumo (Parte 2), Coberturas para el consumo (Parte 3)
Course: Intro to Managing Healthcare Supply Chain Operations
Modules:
Meet Your Faculty: Gilbert Nyaga, Module Introduction, What Are Operations Processes and Supply Chain Management?, The Healthcare Continuum and the Impact of Supply Chains, Drivers of Healthcare Costs and Relation to Supply Chains, Key Supply Chain Challenges Facing Healthcare Providers, Challenges in Hospital Supply Chain, Why Focus on Operations and SCM in Healthcare?
Module Introduction, Process Thinking, Nature of Processes, Bottlenecks in Processes, Approaches for Process Improvement, Project Management
Quality Management in Healthcare, Cost of Quality in Healthcare, Total Quality Management and Six Sigma
Lean Systems and Application in Healthcare, How to Control Waste, Quality Control and Improvement Approaches, Course Conclusion
Course: Algorithms, Part I
Modules:
Course Introduction
Dynamic Connectivity, Quick Find, Quick Union, Quick-Union Improvements, Union−Find Applications
Analysis of Algorithms Introduction, Observations, Mathematical Models, Order-of-Growth Classifications, Theory of Algorithms, Memory
Stacks, Resizing Arrays, Queues, Generics, Iterators, Stack and Queue Applications (optional)
Sorting Introduction, Selection Sort, Insertion Sort, Shellsort, Shuffling, Convex Hull
Mergesort, Bottom-up Mergesort, Sorting Complexity, Comparators, Stability
Quicksort, Selection, Duplicate Keys, System Sorts
APIs and Elementary Implementations, Binary Heaps, Heapsort, Event-Driven Simulation (optional)
Symbol Table API, Elementary Implementations, Ordered Operations, Binary Search Trees, Ordered Operations in BSTs, Deletion in BSTs
2−3 Search Trees, Red-Black BSTs, B-Trees (optional)
1d Range Search, Line Segment Intersection, Kd-Trees, Interval Search Trees, Rectangle Intersection
Hash Tables, Separate Chaining, Linear Probing, Hash Table Context
Symbol Table Applications: Sets (optional), Symbol Table Applications: Dictionary Clients (optional), Symbol Table Applications: Indexing Clients (optional), Symbol Table Applications: Sparse Vectors (optional)
Course: Global Health Policy
Modules:
Course Overview, 1-1 Global Health Transition, 1-2 Epidemiological Transition, 1-3 Evolution of Global Health, 1-4 Global Health Governance, 1-5 Global Health Challenges, 1-6 Challenges in Global Health Policy, 1-7 Japan’s Commitment to Global Health, 1-8 Proposals for the G7 Summit
2-1 Pandemics and Health Security Response I, 2-2 Pandemics and Health Security Response II, 2-3 Outbreak Investigation "Consider Your Action" I, 2-4 Outbreak Investigation "Consider Your Action" II, 2-5 Lessons from Pandemic H1N1-2009, 2-6 Real-time Research Response, 2-7 Disasters, health and human security, 2-8 Acute disaster response in an aging society, 2-9 Acute effects, 2-10 Long-term health effects, 2-11 Health, human security and disaster response
3-1 Overview and concepts, 3-2 Financial Risk Protection I, 3-3 Financial Risk Protection II, 3-4 Health Service Coverage, 3-5 Equity, 3-6 Aging, 3-7 Case study 1: Japan, 3-8 Case study 2: Bangladesh, 3-9 New Policy Directions
4-1 UHC in Japan: Introduction, 4-2 Understanding Health System Performance, 4-3 Population Health, 4-4 UHC in Japan: Achievements and Challenges, 4-5 Cost Containment, 4-6 Service Quality, 4-7 Population Aging, 4-8 Future Directions
Course: Assessment for Data Analysis and Visualization Foundations
Modules:
Course Introduction, Congratulations and Next Steps, Thanks from the Course Team
Course: English for Common Interactions in the Workplace: Basic Level
Modules:
Welcome to English for Common Interactions in the Workplace: Basic Level
Model Situation 1: Gabriela meets a new colleague, Lesson 1: Introducing yourself and others, Simulated Interaction 1: Introduce yourself, Model Situation 2: A typical day at work, Lesson 2: Describing a typical work day, Simulated Interaction 2: A typical day at work, Comprehension Strategy Session - Reading: Skimming
Model Situation 1: Making a phone call, Lesson 1: Useful language for making phone calls, Simulated Interaction 1: Make a call, Model Situation 2: Coordinating by phone, Lesson 2: Making suggestions, Simulated Interaction 2: Making suggestions, Comprehension Strategy Session - Listening:  Listening for Gist
Model Situation 1: Gabriela coordinates a meeting, Lesson 1: Making plans for the future, Simulated Interaction 1: Make future plans, Model Situation 2: Camila asks for direction, Lesson 2: Asking for and giving directions, Simulated Interaction 2: Getting oriented in the city, Comprehension Strategy Session - Listening:  Listening for Detail
Model Situation 1: How did the interviews go?, Lesson 1: Talking about past work events 1, Simulated Interaction 1: Describe a past event 1, Model Situation 2: Gabriela follows up with Epic Events, Lesson 2: Talking about past work event 2, Simulated Interaction 2: Talking about past events, Comprehension Strategy Session - Reading:  Scanning
Course: Uso prudente de antimicrobianos en el entorno hospitalario
Modules:
Bienvenida al curso de Uso prudente de antimicrobianos en el entorno hospitalario
General principles of antimicrobial therapy., Diagnosis and treatment of adults with Community-acquired Pneumonia
Guía de Práctica Clínica: Diagnóstico y Manejo  Infecciones de Piel y Tejidos Blandos., Consensus Recommendations Based on Evidence for Abdominal Sepsis in the Pediatric and Adult, Management of intra-abdominal-infections
Guía de práctica clínica sobre diagnóstico y tratamiento de infección de vías urinarias no complicada en mujeres adquirida en la comunidad., Guía de práctica clínica para la Profilaxis quirúrgica antimicrobiana., Antibiotic prophylaxis for surgical procedures.
Back to basics hand hygiene and isolation, Material complementario