dipopotamus/custom_instruct_coursera_course_module_list huggingface dataset:
Course: Getting Started with Terraform for Google Cloud
Modules:
Course Introduction
Module Overview, Infrastructure as Code, Terraform Overview, Using Terraform, Module Summary
Module Overview, Terraform Configurations and the HashiCorp Language, Author Phase Terms and Concepts, Terraform Commands, The Terraform Validator, Demo - Terraform Workflow, Coursera: Getting Started with Google Cloud Platform and Qwiklabs, Lab Intro: Infrastructure as Code with Terraform, Module Summary
Module Overview, Introduction to Resources, Meta-arguments for Resources, Resource Dependencies, Variables, Variables Best Practices, Output Values, Terraform Registry and Cloud Foundation Toolkit, Lab Intro: Creating Resource Dependencies with Terraform, Module Summary
Module Overview, Introduction to Terraform Modules, Modules use cases and benefits, Reuse Configurations with Modules, Variables and Outputs, Best Practices and a Real Time Scenario, Lab Intro: Automating the Deployment of Infrastructure Using Terraform, Module Summary
Module Overview, Introduction to Terraform state, Storing State Files, Terraform State Best Practices, Lab Intro: Creating a Remote Backend, Module Summary
Course Summary
Course: Gemini in Google Slides
Modules:
Introduction to Gemini in Google Slides, Generate an Image with Gemini, Choose a Style for Your Images, Activity Explained
Course: 中國古代歷史與人物：秦始皇（Qin Shi Huang)
Modules:
開宗明義 Course Goals, 你活在一個什麼樣的時代_上? What is the Era You Live In Part I, 你活在一個什麼樣的時代_下? What is the Era You Live In Part II, 讀歷史有什麼用? Why Study History?, 什麼是有用的歷史教育? What Is A Useful Education in History?, 經典閱讀示例上 Examples of Readings in Classics Part I, 經典閱讀示例中 Examples of Readings in Classics Part II, 經典閱讀示例下 Examples of Readings in Classics Part III, 經典閱讀示例末 Examples of Readings in Classics Part IV, 各講簡介 Course Overview
孔子和秦始皇留下了什麼樣的遺產？The Legacy of Confucius and Emperor Qin, 世界第八大奇跡？The Eighth Wonder of the World, 秦軍怎麼會有這麼多勇士？How Come Qin Army Has So Many Warriors?, 誰是天下第一強兵？Who Is the Strongest Army in the World?, 秦軍百戰百勝的秘密 The Secret Behind the Success of the Qin Army, 什麼才是「成功」？What is "Success"?
他叫「秦始皇」嗎？Is He Called "Qin Shi Huang"?, 鉅變的象徵 The Symbol of Great Changes, 秦之「大事」Great Events During Emperor Qin's Reign, 成功的要訣 The Key to Success, 尉繚之計 Wei Liao's Military Strategies, 秦王為人 Emperor Qin's Way of Being, 成功後的第一件事 First Thing After Success, 秦朝的立國精神 The Essence of Qin Dynasty, 天下無異意，則安寧之術也 The Way to Peace is Having No Dissent Throughout The Land
始皇的自我評價？ Emperor Qin's Self-assessment, 始皇的選擇？Emperor Qin's Choice, 三代之事，何足法也？The Previous Three Dynasties Are Hardly Worth Taking As Examples, 慾壑難填 Insatiable Needs, 人為什麼會被騙？Why Are People Gullible?, 始皇為人 Emperor Qin's Way of Being, 誰還敢說真話？Who Dare to Speak the Truth?, 始皇的最後 The Last Days of Emperor Qin, 始皇怎會讓自己落得這樣的結局？Reasons for Emperor Qin's Decline
二世想要做什麼？ What the 2nd Generation Wants to Do, 他們真的無罪嗎？ Are They Innocent?, 二世的選擇？The 2nd Generation's Choices, 誰才真正對我好？ Who Is the Real Friend?, 誰為為之？孰令聽之？For Whom Am I Doing and Speaking To?, 詐與力 Tactics and Power, 秦朝的結局 The End of Qin Dynasty
秦之先、秦之禍 The Origin of Qin, 秦之始 The Beginning of Qin, 秦之性 The Spirit of Qin, 秦之機 The Rise of Qin, 秦之霸：霸業從何開始？ The Reign of Qin: How Did It Begin?, 秦之霸：為德之報？ The Reign of Qin: Virtue's Reward Part I, 秦之霸：為德之報！ The Reign of Qin: Virtue's Reward Part II, 秦之霸：晉之彊，秦之憂也 The Reign of Qin: Jin's Prosperity is Qin's Threat, 秦之霸：The Reign of Qin: The Peak of Qin's Reign 霸業的巔峰
秦之衰：秦人的悲哀 The Decline of Qin: The Sorrow of the Qin People, 秦之衰：孝公的選擇 The Decline of Qin: The Choice of Duke Xiao, 秦之變：商鞅來了 The Change of Qin: Lord Shang, 秦之變：帝道？王道？霸道？彊道？The Change of Qin: The Ways of Ruling an Empire, 秦之強 The Strength of Qin, 秦之終 The End of Qin's Rule
詬莫大於卑賤，悲莫甚於窮困 On Being Inferior and Poor, 如何說服秦始皇？ How to Convince Emperor Qin, 富貴極矣，接下來呢？On Wealth and Status, 李斯的選擇 Li Si's Choice, 祖先的誓言有用嗎？Ancestors' Oath, 賢人乎？賤人乎？The Wise or The Lowly, 吉凶從何而來？Luck and Misfortune
將情感放在理智之上？Sensibility Over Sense?, 他真的相信誰？Who Does He Truly Trust?, 如何刺殺秦王？ The Assassination of Emperor Qin, 琴音救了秦王一條命？ The Sound of Guqin Saves His Life, 一個注定失敗的計畫 A Plan Destined for Failure, 他其實誰也不相信 Trust No One, 世上有誰愛我？Friend or Foe?, 歷史是怎麼回事？What is History?, 歷史學的三大功用 The Three Functions of History
Course: التحوّل الرقمي
Modules:
مقدمة الدورة التدريبية, مقدمة الأسبوع 1, التطوّر الهائل للتكنولوجيا, تفكيك سلسلة القيمة, مقابلة مع "فيليب إيفانز" بشأن التفكيك, التكنولوجيا تصنع الفرق, التحوّل الرقمي في شركة Pitney Bowes, مقابلة مع "مارك لوتينباخ"، المدير التنفيذي لشركة Pitney Bowes, مقابلة مع نائب الرئيس التنفيذي لشركة Pitney Bowes، ورئيس الخدمات التجارية، "ليلى سنايدر", خاتمة الأسبوع 1
2 مقدمة الأسبوع, منظور تاريخي, الاضطراب ليس أمرًا جديدًا، الجزء 1, الاضطراب ليس أمرًا جديدًا، الجزء 2, التحليل البيئي ودورة الحياة التنافسية, دورة الحياة التنافسية بالتفصيل, مسؤولية شغل الوظائف, علم الاقتصاد المتعلّق بالإبداع, عرض مختصر, خاتمة الأسبوع 2
مقدمة الأسبوع 3, البيانات الهائلة، الجزء 1, البيانات الهائلة، الجزء 2, مقابلة مع "جون روز" بشأن الثقة, التحوّل إلى التخزين السحابي، الجزء 1, التحوّل إلى التخزين السحابي، الجزء 2, إنترنت الأشياء, التصنيع الإضافي، الجزء 1, التصنيع الإضافي، الجزء 2, الأمن الإلكتروني، الجزء 1, الأمن الإلكتروني، الجزء 2, الذكاء الاصطناعي، الجزء 1, الذكاء الاصطناعي، الجزء 2, قاعدة البيانات المتسلسلة "Blockchain"، الجزء 1, قاعدة البيانات المتسلسلة "Blockchain"، الجزء 2, مقابلة مع "نيكولا هارلي" بشأن قاعدة البيانات المتسلسلة "Blockchain", تجميع الاتجاهات, جولة في مركز الإبداع للعمليات، التابع لمجموعة بوسطن الاستشارية (BCG), مقابلة مع "موندير رشيدي" بشأن الصناعة 4.0, خاتمة الأسبوع 3
مقدمة الأسبوع 4, مقابلة مع "توم ريتشيرت" بشأن الإطار, الاستراتيجية التي تعتمد على الأدوات الرقمية, تحويل الأساس إلى الصيغة الرقمية، الجزء 1, تحويل الأساس إلى الصيغة الرقمية، الجزء 2, مقابلة مع "أنتوني غوريفيتش" بشأن التحول إلى الصيغ الرقمية, النمو الرقمي الجديد، الجزء 1, النمو الرقمي الجديد، الجزء 2, الإبداع ومعمل الإبداع "i.Lab" في جامعة فيرجينيا, الأفراد والمنظمة, مقابلة مع "مارتين دانوساسترو" على Agile @ Scale, البيانات والتحليلات، الجزء 1, البيانات والتحليلات، الجزء 2, البيانات والتحليلات في مطار هيثرو بلندن, التكنولوجيا, مقابلة مع "ستيفان مور" بشأن التكنولوجيا, الأنظمة البيئيّة, مقابلة مع "رالف دريشميير" بشأن عوامل نجاح التحوّل الرقمي, خاتمة الأسبوع 4, خاتمة الدورة التدريبية
Course: Creative Thinking: Techniques and Tools for Success
Modules:
Mother and Father of Innovation, Levels of Creativity, Creative Environments, Creative Environments - Part 2
Creativity Tools, Brainstorming
The Value of Diversity, Principles of various thinking styles, Design Thinking, Different Thinking Styles in Practice
Principles of Morphological Analysis, Group Application of Plot Line MA
Short Cut to Experience, TRIZ: Principles and Description, Contradiction Matrix, Examples of Application: Contradiction Matrix, Interview With the Expert: Oxford Creativity
SCAMPER for Architecture, Team Innovation Using SCAMPER
Examples of Application: Circle Brainstorming, State of the Art Software: B-Link, Peter Childs on Creative Thinking
Course: Gemini in Google Meet - 日本語版
Modules:
Google Meet の Gemini の概要, Gemini を使用して背景画像を作成する, 動画と音声の品質を改善する, アクティビティについての説明
Course: Python: Istruzioni per l’uso
Modules:
Introduzione al corso, I Dati strutturati, Le espressioni, Le Variabili, Assegnazioni di variabili, Mettiti alla prova
Definizione di Funzioni e parametri: sintassi e utilizzo, La funzione: definiamo i parametri, I moduli: cosa sono e come si utilizzano. La giusta sintassi di utilizzo, Funzione Import: corretta sintassi ed utilizzo, Classi e oggetti, Mettiti alla prova
Eccezioni ed errori: guida al loro utilizzo e gestione, Eccezioni: come gestirle? Il codice idoneo, Accesso ai file: l'operazione "Open", Accesso ai file in modalità "Append". Quando e come si utilizza, Mettiti alla prova
Course: Medical Terminology, Anatomy, and Physiology Fundamentals
Modules:
Introduction, Objectives and Vocabulary, Analyzing and Building Medical Terms, Prefixes, Suffixes, Additional Word Forms
Introduction, Objectives, and Vocabulary, Introduction to Anatomy and Physiology, Introduction to Pathology and Diseases, Diagnostics, Treatment and Therapy
Introduction, Objectives, and Vocabulary, Cells and Tissues, Pathology of Cells, Cancer
Introduction and Objectives, Organs and Organ Systems, Homeostasis and Survival, Surface Anatomy, Regions, Quadrants, and Cavities, Pathology Related to Nutrition, Respiratory and Cardiovascular Pathology, Pathology Related to Hydration and Body Temperature
Course: Introduction to Data Analytics on Google Cloud
Modules:
Course introduction
Understand the data analytics lifecycle on Google Cloud: Introduction, Introducing a Google Cloud data analytics workflow, Google Cloud data sources and storage methods, Understand the data analytics lifecycle on Google Cloud: Summary
Explore data and extract insights using BigQuery: Introduction, Introduction to BigQuery for data analysts, Derive insight from data with BigQuery, Getting Started with Google Cloud Platform and Qwiklabs, Lab introduction: BigQuery: Qwik Start - Console, BigQuery organizes data to make analytics easier, Explore data and extract insights using BigQuery: Summary
Make data-driven decisions using Looker: Introduction, Use Looker to analyze and chart data, Lab introduction: Looker Data Explorer - Qwik Start, Visualize data using Looker studio, Lab introduction: Looker Studio: Qwik Start, Share reports and visualizations, Make data-driven decisions using Looker: Summary
Course Summary
Course: Machine Learning for Accounting with Python
Modules:
Course Introduction, About Linden Lu
Module 1 Introduction, 1.1 Introduction to Machine Learning, 1.2 Introduction to Data Preprocessing, 1.3 Introduction to Machine Learning Algorithms
Module 2 Introduction, 2.1 Introduction to Linear Regression, 2.2 Introduction to Logistic Regression, 2.3 Introduction to Decision Tree
Module 3 Introduction, 3.1 Introduction to K-nearest Neighbors, 3.2 Introduction to Support Vector Machine, 3.3 Introduction to Bagging and Random Forest
Module 4 Introduction, 4.1 Regressive Evaluation Metrics, 4.2 Classification Evaluation Metrics I, 4.3 Classification Evaluation Metrics II
Module 5 Introduction, 5.1 Introduction to Feature Selection, 5.2 Introduction to Cross-Validation, 5.3 Introduction to Model Selection
Module 6 Introduction, 6.1 Introduction to Text Analytics, 6.2 Introduction to Text Classification, 6.3 Introduction to Text Classification II
Module 7 Introduction, 7.1 Introduction to K-means Clustering, 7.2 K-means Case Study, 7.3 Introduction to Density Based Clustering
Module 8 Introduction, 8.1 Working With Dates and Times, 8.2 Analyzing Time Series Data, Learn on Your Terms
Course: Advanced JavaScript Concepts
Modules:
Global Execution Context - 'this', Execution Context - Creation and Hoisting, Execution Context - Execution, Function Declaration Overriding Variable Declaration
Introduction, Understand the Scope Chain
Understand Closures, Update Values of Outer Variables (1), Update Values of Outer Variables (2), Closures with Event Loops (1), Closures with Event Loops (2), Iteration Challenge
Why Would You Hide Information?, Use Closures to Hide Properties and Methods, Use IIFE to Create Private Static Properties and Methods
Understand the Prototype (1), Understand the Prototype (2), Inheritance and PrototypeChain: __proto__, Inheritance and PrototypeChain: Object.create, Inheritance and PrototypeChain: Constructor Inheritance, Inheritance and PrototypeChain: Extend Function, Class Augmentation (1), Class Augmentation (2), Object Cloning
Challenge: Iteration and hasOwnProperty, Challenge: Iteration Using object.keys and forEach, Challenge: getPrototypeOf and getOwnPropertyNames, Challenge: Climb Up the Prototype Chain
Namespacing, Singleton Pattern, Wrap Page-Specific Code, Modular Design Pattern
Functions Are Objects, The 'arguments' Property, Function.prototype.call, Function.prototype.apply, Function.prototype.bind
Introduction, Steps Simplified, Back to Client Requirements, Functional Design, Modular Design Pattern, Modular Categorization, Data Module Structure, UI Module Structure, Format Current Word Structure, Results Calculation Structure, Update Time Left - Structure, Certificate Module Structure, Events Module Structure, Words Module Structure, Overview of Modules, Get Ready to Write Code, App Skeleton and Decoration (1), App Skeleton and Decoration (2), App Skeleton and Decoration (3), init Function (Events Module), Fill the List of Test Words (Data Module), Shuffle an Array, Add Random Capitalization, Add Random Punctuation, Fill the List of Test Words (1) (UI Module), Fill the List of Test Words (2) (UI Module), Time Initialization (Data and UI Modules), Move to a New Word (Data Module), Set the Active Word and Format It (UI Module), Type a Character - Event Listener, word.prototype.update(value), keydown Versus keyup Versus Keypress Versus Input Events, Format the Active Word (UI Module), Press Space - Event, Scroll the Active Word into the Middle of the View, Press Enter - Create a Fake Event Using the Event Constructor, Launch the Test, Calculate Words Per Minute and wpmChange (Data Module), Update the Time Left (Data and UI Modules), Calculate Clicks Per Minute and cpmChange (Data Module), Calculate Accuracy and accuracyChange (Data Module), Update Results (UI Module), End the Test and Show the Modal (1) (Data and UI Modules), End the Test and Show the Modal (2) (Data and UI Modules), Generate PDF Certificate (1) (Certificate Module), Generate PDF Certificate (2) (Certificate Module), Generate PDF Certificate (3) (Certificate Module)
Course: Geodesign: Change Your World
Modules:
Course Introduction Video, Main Lecture: Week 1, Guest Lecture 1: Week 1, Guest Lecture 2: Week 1
Main Lecture: Week 2, Guest Lecture 1: Week 2, Guest Lecture 2: Week 2
Main Lecture Week 3, Guest Lecture 1: Week 3, Guest Lecture 3: Week 3
Main Lecture Week 4, Guest Lecture 1: Week 4, Guest Lecture 2: Week 4
Main Lecture Week 5, Guest Lecture 1: Week 5, Guest Lecture 2: Week 5
Course: Korean Music, A Philosophical Exploration
Modules:
Welcoming Korean Music Lovers and Musical Thinkers, What is Korean Music? K-pop or Gugak?, What is "Korean" in Korean Music?, [+] Is Gukak a pentatonic scale, [+] Can you distinguish Korean music from other Asian music? (Hard), [+] Can you distinguish Korean music from other Asian music? (Easy), Korean Music as Living Tradition, [+]Living Tradition and Cultural Boundaries: A Dynamic Intersection
Korean Matrix and Cultural Boundaries, [+]Inner and Outer Cultural Boundaries in a Global, Origins of Korean Music: Loose Cultural Boundaries, Korean and Chinese Music: Within and Outside Cultural Boundaries, Globalization of Korean Music Towards Dissolved Borders, [+] Exploring other genres_Jeongak and Minsogak
Lesson1: Acceptance of Foreign Music and Koreanization, Long-lived Korean Musical Instruments: Gayageum & Geomungo, [+] Taepyeongso and Hyangpiri, Openness to the Foreign, Uninterrupted Creativity, [+]Another Example of K-pop with Korean thought
Arirang, Songs of Korean Han, Ong-Heya, Cheerful Work Songs in Korea, [+] Janggu and Buk playing the Jangdan, Conflicting Emotions: Stirring Sadness, Sorrowful Joy, Cheerful Consolation, Music of Conflicting Emotions: Puri, Han and Heung, [+]Differences between Descriptions of Korean and Western Emotions
Ritual Music for Confucian Shrine and Joseon Royal Shrine, Korean characteristics of Jongmyo Jeryeak, [+]Orchestra used in Ritual Music, Confucian Musical Ideal and Chinese Ritual Music, Actualization of Confucian Ideals through Ritual Music, Musical Innovations in Korean Ritual Music, Morality and Musicality in Korean Ritual Music, [+]What is Morality in Music
Korean Tempo-Space Notation, Jeongganbo, Learning to read Jeongganbo, [+]What is the Jangdan of Korean music, Jeongganbo for Composing and Recording Korean Songs, "Koreanness" of Korean Music and Language, Korean Folk Music Born from Korean Language, Korean Music Taste: Folk Music and K-pop, [+]Can We Explain Korean Musical Innovation with Daoist Music Theory
Let's Talk about Korean Music and Philosophy
Course: La escuela rural y su comunidad: herramientas para la acción
Modules:
Universidad Austral, Relación escuela- comunidad, Importancia de la relación con la comunidad en contextos rurales, Escuela abierta
Comunidades de Aprendizaje: la comunidad en la escuela, Proyecto Comunidades de Aprendizaje, Organización de las comisiones mixtas, Organización de los grupos interactivos
¿Qué son las Redes de Tutorías?, Principios que guían la práctica de la relación tutora, Aprendizaje Basado en la Colaboración y el Diálogo- ABCD, Enfoque de la Evaluación en ABCD
Alejandra Salvagiot: Salida de la escuela a la comunidad, Marisa Zallocco: Trabajo en agrupamiento
Course: Statistics in Psychological Research
Modules:
Get Started With PsycLearn Essentials!, Metacognitive Checkpoints: Pause and Reflect on Your Learning
Welcome, Data Analysis for the Behavioral Sciences
The Heart of Statistics, Making Distinctions, Levels of Measurement, Roles Variables Play, Summarizing Data, Describing Data With Univariate Frequency Distributions, Measures of Central Tendency, Variability, Describing Data With Bivariate Graphs, Correlation and Causation
Probability, Normal Distributions, Parametric Tests, John Arbuthnot’s Null Hypothesis, The Logic of Null Hypothesis Significance Testing, An Illustration of NHST in Action, The Results of the Null Hypothesis Significance Testing Process, Selecting a Statistical Test, Nonparametric Alternatives
What Are p Values?, Effect Size, Confidence Intervals, More Complete Reporting of Results, Statistical Power, Determining Statistical Power, Bayesian Inference, Estimation Methods, Meta-Analysis, Modeling
Key Takeaways, Key Vocabulary, Key Takeaways, Key Vocabulary, Key Takeaways, Key Vocabulary, Key Takeaways, Key Visuals, Key Vocabulary, Key Takeaways, Key Visuals, Key Vocabulary, Key Takeaways, Key Visuals, Key Vocabulary, Key Takeaways, Key Visuals WIP, Key Vocabulary, Key Takeaways, Key Vocabulary, Key Takeaways, Key Visuals, Key Vocabulary, Key Takeaways, Key Visuals, Key Vocabulary, Course Glossary, References
Closing Remarks
Introduction to APA Resources, Student Resources, APA Style®, Research, and Writing, Students from Diverse Ethnic, Cultural, and Economic Backgrounds, Psychology Help Center, Psychology Careers, Careers and Internships at APA, Other APA Resources
Course: Costos para los Negocios
Modules:
La importancia de los costos en un negocio, El uso de los costos en la contabilidad (financiera, tributaria y de gestión).
Componentes del costo, Tipos de costos I: costos directos e indirectos, Tipos de costos II: costos fijos y variables, Tipos de costos III: costos totales y unitarios, Costos versus gastos
3.1 Materiales directos I: Componentes., 3.2 Materiales directos I: Sistema FIFO, LIFO, PMP.
Tema 4.1: Mano de obra I, 4.2 Mano de obra II
5.1 Costos indirectos de fabricación I, 5.2 Costos indirectos de fabricación II
Course: Statistical Analysis Fundamentals using Excel
Modules:
Course Introduction, Welcome to Statistics!, Types of Data, Measure of Central Tendency, Measures of Dispersion
Visualization Fundamentals, Statistics by Groups, Statistical Charts, Introducing the teacher's rating data
Random Numbers and Probability Distributions, State your hypothesis, Normal Distribution, T-Distribution, Probability of Getting a High or Low Teaching Evaluation
Overview of Regression Analysis, Simple Linear Regression, Building and Interpreting Simple Linear Regression Models, Multiple Linear Regression, Building and Interpreting Multiple Linear Regression Models, (Optional) Assumption and Diagnosis in Regression Analysis, Forecasting with Regression, Applying Regression Techniques for Forecasting
Instructions for the Final Exam, Congratulations and Next Step, Team and Acknowledgments
Course: Understanding Technology and Data
Modules:
Introduction to Understanding Technology and Data, Welcome to the module, Digital technologies, Insight on changing technology, What is cloud?, What does cloud do?, Why does cloud matter?, How is cloud applied?, How does cloud combine with other technologies?, What is Artificial Intelligence?, What does Artificial Intelligence do?, How does Artificial Intelligence work?, Why does Artificial Intelligence matter?, How does Artificial Intelligence combine with other tech?, What is blockchain?, What does blockchain do?, Why does blockchain matter?, How is blockchain applied?, How does blockchain work?
Welcome to the module, Introduction to digitalization, Your smart future, Hardware and software, Creating an email account, Sending emails, Sending attachments, Securing passwords, Adding a bookmark, What is security?, What does security do?, Why does security matter?, How is security applied?
Welcome to the module, Coding and programming
Welcome to the module, What is data?, Five scales of measurement, Impact of data, What does data do?, Why does data matter?, How is data applied?, How to collect data, Family and friends research, Internet research, Data examples and interpretation, Data-based reasoning, Working with Excel
Course: Configure SIEM Security Operation using Microsoft Sentinel
Modules:
Course Introduction
Setting up permissions on Azure Resources
Enabling Microsoft Sentinel with a Log Analytic Workspace
How to deploy a Microsoft Sentinel Content Hub Solution
How to Apply an Analytic Rule in Microsoft Sentinel, Deploy a Workbook in Microsoft Sentinel, Create and Apply an Automation Rule
Course: Analytics en las organizaciones
Modules:
Introducción al curso
Propósito e introducción al módulo, Significado de Analytics en el mundo de hoy, Declaración de identidad de una organización con su cadena de valor, Caso de estudio: cadena de valor para un sistema de educación superior, Caso de estudio: intervenciones analíticas para el sistema de educación superior, Cierre de módulo 1
Propósito e introducción al módulo 2, Del ciclo de valor de la información a los grados de inteligencia analítica, Los pilares fundamentales de Analytics, Las etapas de competitividad analítica, Cierre
Propósito e introducción al módulo 3, Los procesos internos de una organización, Aplicaciones analíticas en procesos internos de finanzas, Aplicaciones analíticas en procesos internos de operaciones, producción y gestión de calidad, Aplicaciones analíticas en procesos internos de investigación y desarrollo, Aplicaciones analíticas en procesos internos de recursos humanos, Los procesos externos de una organización, Aplicaciones analíticas en los procesos orientados al cliente, Aplicaciones analíticas en los procesos orientados al proveedor, ¿En qué consiste estructurar una propuesta analítica?, Entendiendo el problema de negocio, Ejemplo del entendimiento del problema de negocio, Formulación y evaluación del problema analítico a partir del entendimiento del problema de negocio, Ejemplo de formulación del problema analítico a partir del entendimiento del problema de negocio, ¿Cómo validar la pertinencia de una propuesta de aplicación analítica?, Cierre
Propósito e introducción al módulo 4, Ruta hacia la competitividad analítica (Parte 1), Ruta hacia la competitividad analítica (Parte 2), ¿Qué dimensiones de la organización intervenir para generar mejores capacidades analíticas?, ¿Cuáles son las características de las capacidades analíticas que generan mayor competitividad?, Cierre
Propósito e introducción al módulo 5, ¿Qué es la gobernabilidad de los datos?, Riesgos de una inadecuada gobernabilidad de los datos, Arquitectura tecnológica para la gobernabilidad de los datos, Estructura organizacional para la competitividad analítica, Cierre del módulo 5
Course: Introduction to Object-Oriented Programming in C++
Modules:
Welcome to Object Oriented Programming, Demonstrating the merkelsim currency exchange simulation, Is C++ a low-level language?, Writing our first program, How to compile a program in web-based Visual Studio Code, Print a list of options (menu), Receiving user input with the extraction operator, If statements: conditionally printing responses to the user, Let's experiment with std::cout and std::cin
Background: text-based simulations, What is refactoring?, Write a print menu function and a processOption function, Write menu functions, Let's look at some functions, End of course summary
Course: Fitting Statistical Models to Data with Python
Modules:
Welcome to the Course!, Fitting Statistical Models to Data with Python Guidelines, What Do We Mean by Fitting Models to Data?, Types of Variables in Statistical Modeling, Different Study Designs Generate Different Types of Data: Implications for Modeling, Objectives of Model Fitting: Inference vs. Prediction, Plotting Predictions and Prediction Uncertainty, Python Statistics Landscape
Linear Regression Introduction, Linear Regression Inference, Interview: Causation vs Correlation, Logistic Regression Introduction, Logistic Regression Inference
What are Multilevel Models and Why Do We Fit Them?, Multilevel Linear Regression Models, Multilevel Logistic Regression models, Practice with Multilevel Modeling: The Cal Poly App, What are Marginal Models and Why Do We Fit Them?, Marginal Linear Regression Models, Marginal Logistic Regression
Should We Use Survey Weights When Fitting Models?, Introduction to Bayesian, Bayesian Approaches to Statistics and Modeling, Bayesian Approaches Case Study: Part I, Bayesian Approaches Case Study: Part II, Bayesian Approaches Case Study - Part III
Course: Software Defined Networking
Modules:
Course Overview, Introduction to Network Virtualization, Cloud System Software, Cloud Applications, Network Functions Virtualization, Network Analytics (Nisheeth Srivastava), Regional Network Managers (Nisheeth Srivastava), Network Fabric (Nisheeth Srivastava), Containers with VMs (Nisheeth Srivastava), Containers and Cloud SDN (Nisheeth Srivastava), IP Address for Containers (Nisheeth Srivastava), Introduction to Cloud Computing, Where Did Cloud Computing Start?, What is Cloud Computing, Types of Clouds & Service Models, Security Issues & Challenges, Future of Cloud Computing, Introduction to Cloud Computing Wrap-Up, Dr. Yousef Khalidi Q & A, Workshop 1- Azure Portal and Web Services
Introduction to Data Center Networks, What is a Data Center?, Data Network Design Considerations, Active Networks & SDN, Software Defined Networks (SDN), Traffic Engineering, Cloud Network Traffic Engineering, Data Center Networks Wrap-Up, Workshop 2 - Mininet and Topologies
Introduction to Azure Networking, Overview of Data Center Networks, Azure VL2 Switch, DC Networks Challenges & Opportunities, VL2 Switch Details, Addressing & Routing, Traffic Forwarding, Azure Networking Wrap-Up, Workshop 3 - VLAN and Northbound Connections on SDN
Introduction to DC Networking, DC Networking Overview, What Can Go Wrong?, Tools for Testing, Debugging and Verification, No Bugs In Controller Execution (NICE), OFRewind, Network Debugger, Header Space Analysis and Netplumer, Veriflow, Network Traffic Characteristics, Classification of Traffic, Structure of Google WAN, DC Networking Wrap-Up, Workshop 4 - Using Ryu to handle SDN
Workshop - Proactive Rules
Course: Cybersecurity Solutions and Microsoft Defender
Modules:
Introduction to the course, Azure DDoS Protection overview, Azure DDoS Protection configuration, Azure DDoS Protection features and best practices, Azure and virtual machines, Spinning up a virtual machine, Azure networking, Introduction to Azure Firewall, Azure Firewall Standard and Basic, Web Application Firewall, Azure Firewall deployment, Azure Firewall rule configuration, Hackers and firewalls, Just-in-time access (JIT), Key management and encryption, Implementing just-in-time access, Module summary: Azure basic security capabilities
Overview of cloud security, Advanced cloud security, Azure security, Azure security best practices, Microsoft Defender interface, Azure Bastion, Bastion and virtual machines, Introduction to Azure policies, Custom policy definition, Azure Blueprints, SIEM, Microsoft Sentinel, Microsoft Sentinel data connectors, Introducing SOAR, Module summary: Security management in Azure
Introduction to Microsoft 365 Defender, Microsoft 365 Defender portal, Microsoft 365 Defender incidents and alerts, Managing users, Introduction to endpoint security, Endpoint modernization, Deployment methods for WaaS and Microsoft 365 Apps, Defender portal for endpoint capabilities and services, Threat technologies, Endpoint encryption, Introduction to identity defense, Microsoft Purview, Azure Active Directory Identity Protection, Microsoft Defender for Identity, Deploy Microsoft Defender for Identity with Microsoft 365 Defender - Preparation, Identity theft, Module Summary:  Microsoft 365 Defender threat protection
Course Recap: Security solutions, Congratulations
Course: Finanzas y Operaciones de Marketing y Ventas
Modules:
Presentación, Tipos de reportes. La importancia de elegir bien los indicadores, Relaciones entre las áreas: Marketing y Ventas, Marketing y Finanzas, Ventas y Finanzas
Introducción a la segunda semana, Ejemplo de cálculo de retorno de la inversión, Investigación de mercado y métricas de marketing, Métricas del marketing digital, Segmentación y posicionamiento
Introducción a la tercera semana, Diferencias de procesos de ventas, Midiendo las relaciones. Valor de un cliente en el tiempo, Técnicas de estimaciones y fuentes de datos, Proyecciones, Gestionando las proyecciones de ventas y sus implicaciones
Introducción a la cuarta semana, Apoyo de crédito a ventas, Ejemplo de ejercicio de apoyo de crédito a ventas, Dimensionamiento del equipo de ventas, Manejo de promociones por marketing y ventas
Course: Introduction to Data Engineering
Modules:
Welcome to Data Engineering, Course 1 Overview, Data Engineering Defined, [Optional] A Brief History of Data Engineering, The Data Engineer Among Other Stakeholders, [Optional] Business Value, System Requirements, [Optional] Conversation with Sol Rashidi, [Optional] Conversation with Jordan Morrow, Requirements Gathering Conversation, Translate Stakeholder Needs into Specific Requirements, Thinking Like a Data Engineer, Data Engineering on the Cloud, Meet Morgan Willis, Intro to the AWS Cloud, Intro to AWS Core Services, Walkthrough of the AWS Management Console, Week 1 Summary
Week 2 Overview, Data Generation in Source Systems, Ingestion, Storage, Queries, Modeling, and Transformation, Serving Data, Introduction to the Undercurrents, Security, Data Management, Data Architecture, DataOps, Orchestration, Software Engineering, Lesson Intro, The Data Engineering Lifecycle on AWS, The Undercurrents on AWS, Lab Walkthrough - Introduction to the Lab, Lab Walkthrough - Setting up the Lab, Lab Walkthrough - Preview of the Lab Content, Week 2 Summary
Week 3 Overview, What is Data Architecture?, [Optional] Conway's Law, Principles of Good Data Architecture, Always Architecting, When your Systems Fail, Batch Architectures, Streaming Architectures, Architecting for Compliance, Choosing Tools and Technologies, Location, Monolith vs Modular Systems, Cost Optimization and Business Value, Build vs Buy, Server, Container, and Serverless Compute Options, How the Undercurrents Impact Your Decisions, Intro to the AWS Well-Architected Framework, The AWS Well-Architected Framework, Lab Walkthrough - Introduction to the Lab, Lab Walkthrough - Monitoring the Web App, Lab Walkthrough - Applying the Principles of Good Data Architecture, Week 3 Summary
Week 4 Overview, Requirements, Conversation with Matt Housley, Conversation with the CTO, Conversation with Marketing, Breaking Down the Conversation with Marketing, Conversation with the Software Engineer, Documenting Nonfunctional Requirements, Requirements Gathering Summary, Requirements Gathering Exercise, Follow-up Conversation with the Data Scientist, AWS Services for Batch Pipelines, AWS Services for Streaming Pipelines, Lab Walkthrough - Implementing the Batch Pipeline, Lab walkthrough - Setting up the Vector Database, Lab walkthrough - Implementing the Streaming Pipeline, Course 1 Summary
Course: Process Data from Dirty to Clean
Modules:
Introduction to data integrity, Why data integrity is important, Balance objectives with data integrity, Deal with insufficient data, The importance of sample size, Using statistical power, Determine the best sample size, Evaluate data reliability
Clean it up!, Why data cleaning is critical, Angie: I love cleaning data, Recognize and remedy dirty data, Data-cleaning tools and techniques, Clean data from multiple sources, Data-cleaning features in spreadsheets, Optimize the data-cleaning process, Different data perspectives, Even more data-cleaning techniques
Use SQL to clean data, Sally: For the love of SQL, Understand SQL capabilities, Spreadsheets versus SQL, Widely used SQL queries, Evan: Having fun with SQL, Clean string variables using SQL, Advanced data-cleaning functions, part 1, Advanced data-cleaning functions, part 2
Verify and report results, Confirm data-cleaning meets business expectations, Verification of data cleaning, Capture cleaning changes, Why documentation is important, Feedback and cleaning
About the data-analyst hiring process, The data analyst job-application, Build a resume, Make your resume unique, Joseph: Black and African American inclusion in the data industry, Translate past work experience, Kate: My career path as a data analyst, Where does your interest lie?
Congratulations! Course wrap-up
Course: Concurrent Programming in Java
Modules:
Course Welcome
1.1 Threads, 1.2 Structured Locks, 1.3 Unstructured Locks, 1.4 Liveness, 1.5 Dining Philosophers, Demonstration: Locking and Synchronization
2.1 Critical Sections, 2.2 Object Based Isolation (Monitors), 2.3 Concurrent Spanning Tree Algorithm, 2.4 Atomic Variables, 2.5 Read, Write Isolation, Demonstration: Global and Object-Based Isolation
Industry Professional on Parallel, Concurrent, and Distributed Programming in Java - Jim Ward, Managing Director, Industry Professional on Concurrency - Dr. Shams Imam, Software Engineer
3.1 Actors, 3.2 Actor Examples, 3.3 Sieve of Eratosthenes Algorithm, 3.4 Producer-Consumer Problem, 3.5 Bounded Buffer Problem, Demonstration: Sieve of Eratosthenes Using Actor Parallelism
4.1 Optimistic Concurrency, 4.2 Concurrent Queue, 4.3 Linearizability, 4.4 Concurrent Hash Map, 4.5 Concurrent Minimum Spanning Tree Algorithm, Demonstration: Parallelization of Boruvka's Minimum Spanning Tree Algorithm
Industry Professionals on Parallelism - Jake Kornblau and Margaret Kelley, Software Engineers, Two Sigma, Industry Professional on Distribution - Dr. Eric Allen, Senior Vice President, Two Sigma
Course: Developing the SIR Model
Modules:
Welcome to the Course, An Insider's View of IDM, Infected Cohorts and Simple Flows, Calculating Competing Hazards in Compartmental Models, The Force of Infection, Introduction to the SIR Model, Modelling the Force of Infection, Reflections on the SIR Model
Introduction to the Week, Fundamental Drivers of Epidemic Growth, Why an Epidemic Peaks, Departures from the SIR Model
Introduction to the Week, Explaining R0 in Model Terms, Prevalence and Incidence
Modelling Population Turnover, A Simple Model for Vaccination, Modelling Waning Immunity, Summary: Modifiers of Population Susceptibility
Course: La transformation numérique
Modules:
Introduction du cours, Semaine 1 Présentation, Évolution exponentielle de la technologie, Déconstruction de la chaîne de valeur, Entretien avec Philip Evans sur la déconstruction, La technologie fait la différence, La transformation numérique au sein de Pitney Bowes, Entretien avec Marc Lautenbach, PDG de Pitney Bowes, Entretien avec Lila Snyder, vice-présidente directrice et présidente des services commerciaux de Pitney Bowes, Semaine 1 Conclusion
Semaine 2 Présentation, Un point de vue historique, Les perturbations ne sont pas un phénomène nouveau Partie I, Les perturbations ne sont pas un phénomène nouveau Partie II, Analyse environnementale et cycle de vie concurrentiel, Le cycle de vie concurrentiel en détail, La responsabilité découlant de la mise en place, L'économie de l'innovation, Une vue du portefeuille, Semaine 2 Conclusion
Semaine 3 Présentation, Mégadonnées Partie I, Mégadonnées Partie II, Entretien avec John Rose sur la confiance, Passage vers le nuage Partie I, Passage vers le nuage Partie II, Internet des objets, Fabrication additive Partie I, Fabrication additive Partie II, Cybersécurité Partie I, Cybersécurité Partie II, Intelligence artificielle Partie I, Intelligence artificielle Partie II, Chaîne de blocs Partie I, Chaîne de blocs Partie II, Entretien avec Nicolas Harlé sur la chaîne de blocs, Combinaison de tendances, Visite du centre d'innovation dédié aux opérations du BCG, Entretien avec Moundir Rachidi sur l'industrie 4.0, Semaine 3 Conclusion
Semaine 4 Présentation, Entretien avec Tom Reichert sur le cadre, Une stratégie axée sur le numérique, Numériser les activités centrales Partie I, Numériser les activités centrales Partie II, Entretien avec Antoine Gourévitch sur la numérisation, Nouvelle croissance numérique Partie I, Nouvelle croissance numérique Partie II, Innovation et i.Lab d'UVA, Les personnes et l'organisation, Entretien avec Martin Danoesastro sur l'agilité à l'échelle, Données et analyses Partie I, Données et analyses Partie II, Données et analyses à l'aéroport d'Heathrow (Londres), Technologie, Interview with Stefan Mohr on Technology, Écosystèmes, Entretien avec Ralf Dreischmeier sur les facteurs de réussite de la transformation numérique, Semaine 4 Conclusion, Conclusion du cours
Course: Digital Signal Processing 1: Basic Concepts and Algorithms
Modules:
1.1.1 What is digital signal processing?, 1.1.2 Discrete-time signals, 1.1.3.a How your PC plays discrete-time sounds, 1.1.3.b The Karplus-Strong algorithm, 1.1.4 Complex exponentials, Signal of the Day: Goethe's temperature measurement
1.2.1 Signal processing and vector spaces, 1.2.2.a Vector space, 1.2.2.b Signal spaces, 1.2.3 Bases, 1.2.4.a Subspace-based approximations, 1.2.4.b Polynomial Approximation, Signal of the Day: Exoplanet hunting
1.3.1.a The frequency domain, 1.3.1.b The DFT as a change of basis, 1.3.2.a DFT definition, 1.3.2.b Examples of DFT calculation, 1.3.2.c Interpreting a DFT plot, 1.3.3.a DFT analysis, 1.3.3.b DFT example - analysis of musical instruments, 1.3.3.c DFT synthesis, 1.3.3.d DFT example - tide prediction in Venice, 1.3.3.e DFT example - MP3 compression, 1.3.4.a The short-time Fourier transform, 1.3.4.b The spectrogram, 1.3.4.c Time-frequency tiling, Signal of the Day: The first man-made signal from outer space
1.4.1.a Discrete Fourier series, 1.4.1.b Karplus-Strong revisited and DFS, 1.4.2.a Karplus-Strong revisited and the DTFT, 1.4.2.b Existence and properties of the DTFT, 1.4.2.c The DTFT as a change of basis, 1.4.3.a Sinusoidal modulation, 1.4.3.b Tuning a guitar, 1.4.4.a Relationships between transforms, 1.4.4.b Zero padding, 1.4.5 The fast Fourier transform, Signal of the Day: Tristan Chord
Course: Curso final de análisis computacional de datos de Google: completa un caso práctico
Modules:
Introducción al proyecto final, Rishie: Qué buscan los empleadores en los analistas de datos, El mejor de la clase
Los primeros pasos en tu caso práctico, Potencial ilimitado con casos prácticos de análisis computacional de datos, Compartir tu portafolio
Debatir sobre tu portafolio, Vídeo de situación: Presentaciones, Vídeo de situación: Caso práctico, Vídeo de situación: Resolución de problemas, Vídeo de situación: Términos de la negociación, Nathan: VetNet y brindarles consejos a los veteranos
Felicitaciones por completar tu proyecto final., De todos nosotros ..., Explorar oportunidades profesionales
Course: Forecasting Financial Statements & Valuation for Accountants
Modules:
Learn on Your Terms, Instructor Introduction- Brian Hamm, Instructor Introduction- Nerissa Brown, Instructor Introduction- Brooke Elliot, Course Overview- Financial Statements, SEC Filings and Ratio Analysis & Beyond the Financials: Insights, Analysis and Valuations
Beyond the Financials- External Factors, Beyond the Financials (GDP), Beyond the Financials (Government), Beyond the Financials (Interest Rate), Beyond the Financials (Foreign Exchange), Beyond the Financials (Commodities), Beyond the Financials (Competitive Position), Beyond the Financials (Industry Competition), Beyond the Financials (Bargaining Power of Customers), Beyond the Financials (Bargaining Power of Suppliers), Beyond the Financials (Threat of Substitutes), Beyond the Financials (Threat of New Entrants)
Beyond the Financials - Internal Factors, Investor Conference Presentations, Earnings Call Transcripts, Risk Factors in the 10K, Other Internal Factors
Introduction to Non-GAAP Measures, History and trends in Non-GAAP Reporting, To GAAP or Non-GAAP, Good examples of Non-GAAP adjustments, Bad examples of Non-GAAP adjustments
Introduction to Forecasting, Forecasting process, Two approaches to forecasting, Example exercises:  determining forecast drivers
Introduction to Detailed Forecasting, Detailed Forecasting Process, Building a Forecast Model, Income Statement Forecasting, Balance Sheet Forecasting, Cash Flow Forecasting
Introduction to Valuations, Valuation Model Framework, Simple/Basic Valuation Models, Price to Earnings, Price to Book, Price to Sales, Enterprise Value to EBITDA Multiple, Introduction to Detailed/Advanced Valuation Models
Basic Valuation Principles: Role of a Valuation Model &  Time Value of Money, Basic Valuation Principles: Estimating Intrinsic Value, Practical Guidelines for Using Valuation Models, Discount Rates: Cost of Equity and CAPM, Discount Rates: Weighted Average Cost of Capital WACC, Valuating a Perpetuity
Advanced Valuation Models- Dividend Discount Model, Advanced Valuation Models- Discounted Free Cash Flow Model, Advanced Valuation Models- Residual Income Model
Course: Generative AI: Elevate your Business Intelligence Career
Modules:
Course Introduction, Role of Generative AI in the BI lifecycle, Generative AI Technologies and Tools  for BI, Synthetic Data Generation with AI, Data Cleansing: Anomaly Detection and Handling Missing Data
Querying Documents and Spreadsheets with AI, Querying Databases Using Natural Language, SQL Generation with AI Tools, Data Clustering and Segmentation
Automated and Interactive Data Visualization with Generative AI, Generating Infographics and Data-Driven Narratives, Creating Dashboards, Creating Reports Using AI, Creating Presentations for Stakeholders Using AI, Conversational Interfaces for BI Analysts
Bias and Impact on Business Analytics, Issues with Mathematical Calculations and Hallucinations, Future Trends and Challenges in Generative AI for BI, Course Wrap-Up
Course: AWS Services Overview for IT Professionals
Modules:
Week Introduction and Recap of Previous Class, Compute, Networking, Storage, Database, Monitoring, Security, The Physical Cloud, Virtual Private Clouds Overview, Elastic Compute Cloud, Going Serverless, Building with Containers
Week 2 Introduction, Using the Right Storage for the Job, Object Data Storage, What If I Need a Filesystem?, How About Managed Databases?, Week 2 Wrap-Up
Week 3 Introduction, Introduction to Monitoring and Optimizing Solutions, Monitoring Solutions in the Cloud, Logging Account Activity, Optimizing Processes to Lower Cloud Costs, Introduction to Security in the Cloud, AWS Services to Enhance Cloud Security, Course Wrap-Up
Course: Advanced Data Analysis and Collaboration in Qlik Sense
Modules:
Introduction to the course and meet your instructor, Crafting calculated fields in qlik sense, Mastering set analysis and expressions, Navigating geospatial analysis in qlik sense, Complex controls, Conditional formatting, Time lags, rolling sums, lags, leads, Drill-down and roll-up, Dynamic filters, Creating and sharing bookmarks, stories, and reports, Sharing links and exporting, embedding
Course: EU policy and implementation: making Europe work!
Modules:
Trailer, Course introduction, How to succeed in your online class?
How do we understand policy?, How do we understand decision-making?, The European policy process in brief, Introducing the policy dossiers, What is the problem? Residence rights and posting dossiers, What is the problem? Air quality dossier, Walkthrough for your assignment 1: Example for Air Quality dossier
What can go wrong with EU decision-making?, Sectoral interests in the European Union, Brussels is always in a hurry, EU policymaking from an international perspective, What is the European policy? Residence rights and posting dossiers, What is the European policy? Air quality dossier, Walkthrough for assignment 2: Example for air quality dossier
What happens after adoption?, Transposition as interpretation, Transposition as behavior: a policy perspective on domestic actors, The Commission shaping European policy, The Commission as the guardian of the treaties, How is the European policy transposed? Residence rights and posting dossier, How is the European policy transposed? Air quality dossier
What can go wrong with implementation?, Time, capacity and culture, Policy fit and related explanations, Behavioral explanations: interests and veto players, Involvement of regional and local governments in implementation, How is implementation  nationally organized? Residents rights and posting dossiers, How is implementation nationally organized? Air quality dossier, How is the European policy implemented? Residents rights and posting dossiers, How is the European policy implemented? Air quality dossier, Walkthrough for assignment 4: Implementation (Air quality dossier)
How can EU policymaking be redesigned?, Better regulation: Legislation that will deliver?, Consultations, impact assessments, and ex-post evaluations: closing the circle?, Experimentation for better results, Decentralization, subsidiarity and proportionality, How can we improve policy? Residence rights and Posting dossiers, How can we improve policy? Air quality dossier
Course: Just Reading and Writing English 1
Modules:
1. Introduction, 2. Text: Sharing Your Feelings, 3. Explore and Discuss Feelings and Emotions, 4. Letting off Steam, 5. Emotion Management, 6. Cultural Focus: Students' Stress, 7. Office Hour, 8. Talk Show (Glenn and Conor), 9. Summary
1. Introduction, 2. Text: Keep Healthy, 3. Talking about One's Health, 4. A Healthy Lifestyle, 5. How to Stay Healthy, 6. Cultural Focus: Ways of Keeping Healthy, 7. Office Hour, 8. Summary
1.Introduction, 2.Text A：Successful English Learner, 3.Key Words, 4.Sentences, 5.Text B：Our Crazy Language, 6.Reading Skills, 7.Cultural Focus, 8.Writing Doctor, 9.Study Guide, 10.Literature Tutor, 11.Summary
1.Introduction, 2.Text A：Cambridge– the University Town, 3.Key Words, 4.Sentences, 5.Text B：Oxford, 6.Reading Skills, 7.Cultural Focus 1, 7.Cultural Focus 2, 8.Writing Doctor, 9.Study Guide, 10.Literature Tutor, 11.Summary
1.Introduction, 2.Text A: Space, 3.Key Words, 4.Sentences, 5.Text B: Getting Along Verbally and Nonverbally, 6.Reading Skills, 7.Cultural Focus, 8.Writing Doctor, 9.Study Guide, 10.Literature Tutor, 11.Summary
1.Introduction, 2.Text A：New York City, 3.Key Words, 4.Sentences, 5.Text B：London, 6.Reading Skills, 7.Cultural Focus, 8.Writing Doctor, 9.Study Guide, 10.Literature Tutor, 11.Summary
Vocabulary and Structure 1, Vocabulary and Structure 2
Course: Procurement Negotiation
Modules:
Welcome to Course 6, Negotiation Process
Develop a Plan
In The Negotiation
Post Negotiation