dipopotamus/custom_instruct_coursera_course_module_list huggingface dataset:
Course: Comfort in Buildings
Modules:
About the Specialization, About the Course, An Overview of Sustainability, Green Building, Global Energy Scenario, Natural Resource Depletions - Part 1, Natural Resource Depletions - Part 2, Site Selection, Design Approach of Sustainable Site, Preservation of Site Resources - Part 1, Preservation of Site Resources - Part 2, Basic Amenities and Urban Heat Island Effect
Basics of Climatology, Indian Climatic Conditions, Climatic Building Design - Part 1, Climatic Building Design - Part 2, Thermodynamics, Basics of Heat Transfer, Convection Heat Transfer, Radiation Heat Transfer, Introduction to Building Heat Gain, External Heat Gain Through Roof and Wall - Part 1, External Heat Gain Through Roof and Wall - Part 2, External Heat Gain Through Ventilation and Air Leakage, External Heat Gain Through Fenestrations - Part 1, External Heat Gain Through Fenestrations - Part 2, Internal Heat Gain, Heating and Cooling Loads
Basics of Thermal Comfort, Psychrometry, Psychrometry with Applications - Part 1, Psychrometry with Applications - Part 2, Thermal Comfort Models - Part 1, Thermal Comfort Models - Part 2, Thermal Comfort Models - Part 3, Case Study on Thermal Comfort Audit, Outdoor Thermal Comfort
Fundamentals of Lighting, Artificial Lighting, Daylighting, Daylighting Metrics, Visual Comfort Metrics - Part 1, Visual Comfort Metrics - Part 2, Strategies for Daylighting - Part 1, Strategies for Daylighting - Part 2, Daylight Control Strategies - Part 1, Daylight Control Strategies - Part 2, Artificial Lighting Design and Control Strategies - Part 1, Artificial Lighting Design and Control Strategies - Part 2, Visual Comfort Enhancement - Part 1, Visual Comfort Enhancement - Part 2
Course: Deep Learning Applications for Computer Vision
Modules:
Lecture 1, Lecture 2, Lecture 3, Lecture 4
Lecture 5, Lecture 6, Lecture 7, Lecture 8, Lecture 9
Lecture 10: part 1, Lecture 10: part 2, Lecture 10: Part 3
Lecture 11, Lecture 12, Lecture 13, Lecture 14
Lecture 15, Lecture 16, Lecture 17, Lecture 18, Lecture 19, Conclusion
Course: c#高级编程
Modules:
一维数组, 求数组中的最大值, 随机填充一维数组, 在数组中顺序查找, 骰子的模拟, 多维数组, 矩阵的加法, 交错数组, 杨辉三角
静态方法和静态变量, 静态方法变量示例, 方法的声明和调用, 方法的参数传递（1）, 方法的参数传递（2）, out 参数修饰符, 可选参数和命名参数, 变长参数, 方法的重载, 递归调用, 汉诺塔
类与面向对象的编程, 类的构造与析构, 结构和枚举, 洗牌和发牌, 类的复合, 复数类, 龟兔赛跑
类的继承, 从点类继承的圆, 包裹投递, 银行账户, 多态行为的演示, 多态01, 抽象类（宠物类）, 多态02, 运算符重载, 多态案例：工资系统, 接口
异常01, 异常的示例, 异常02, 抛出自定义异常, 泛型01, 泛型的示例, 泛型02
Course: Education on climate change: water and soil
Modules:
0.1.1 Important Course Information, 0.1.2 Meet Your Instructors, 0.1.4 Tell us About Yourself
1.1.1 Water cycle, 1.1.5 The effects of climate change, 1.2.5 Adaptation, 1.2.6 Adapting to climate change
2.1.2 Soil cycle, 2.2.1 Cultivation methods, 2.3.1 Food and culture, 2.3.6 Food security and food sovereignty
Course: 3D CAD Fundamental
Modules:
Welcome to CAD&BIM specialization, 101 Course overview, 103 Install SketchUp step by step, 104 Set unit in SketchUp
201 Use [Line] to draw a cube, 202 Use [Divide] to draw steps, 203 Use [Rectangle] and [Push/Pull] to draw a cube, 204 Use [Tap Measure], [Guides] and [Push/Pull] to make holes, Draw a line parallel to arbitrary ones, More details about making a hole using [Push/Pull] tools
301 Use [Move] to draw house frame, 302 Use [Arcs] to draw ridge and roof, 303 Draw lines on an inclined plane, roof window, Match the slope of an inclined surface, Four ways to draw an arc, Make objects towards three axises by arrow keys
401 Draw a Sphere using [Circle] and [Follow Me], 402 3D [Rotate] and [Copy], 403 Dissection ball surface, 404 Color beach ball with [Paint Bucket], More details about [Follow me], More details about [Rotate], More details about [Rotate] and [Copy], Trick of selecting objects
501 Use [Scale] to set boundary, 502 Use [Arcs] and [Copy] to draw a curtain, 503 Use [Mirror] and [Scale] to complete a curtain, Mirror objects by [Flip along], [Move] and [Copy]-1: use [Move] to copy objects one by one, [Move] and [Copy]-2: use [Move] to copy objects by hot key, Reverse faces-1: definition of plane orientation, Reverse faces-2: change orientation of a plane
601 [Subtract] and [Union], 602 [Intersect] and [Split], Six functions of solid tools
701 Review, 702 Move on your journey of 3D modeling
Course: Clase Entera con PhET para la Educación STEM
Modules:
Usando PhET en Estrategias para la Clase Entera
Indagación con la Clase Entera: Predicciones e Interpretación de Experimentos, Ejemplo de indagación con la Clase Entera: Enseñando Fricción
Guía de diseño de Clases Demostrativas Interactivas, Plantilla para planear una actividad de Indagación con la Clase Entera con PhET
Usando PhET con Preguntas Conceptuales de Opción Múltiple
Combina Estrategias, Planeando una Actividad para Clase Entera para tu Salón de Clase
Siguientes Pasos
Course: Ferrous Technology II
Modules:
Introduction, Phase and phase transformation, Iron-carbon system, Phase transformation in steel
Introduction, Displacive transformation, Phemenological theory of martensite transformation, Other characteristics
Introduction, Materials design in steel, General role of alloying elements 1, General role of alloying elements 2
Introduction, Effect of heat treatment paths: microstructure, Conventional low strength steels, Micro-alloyed ferrite-base steels
Acicular ferrite steels, Micro-alloyed medium & high C steels, Multiphase steels, Martensitic steels, Effect of heat treatment paths: martensite/bainite
Twinning induced plasticity steels, Lightweight steels, Property requirements for automotive and linepipe applications, Others
Introduction and classification, Phase diagrams and microstructure, Corrosion of stainless steels, Mechanical properties and future development
Course: Ley de protección de datos. Conoce tus derechos
Modules:
Presentación del curso
Presentación de la semana, Diferencia entre protección de datos y privacidad, Concepto y tipos de datos de carácter personal, Bases legitimadoras del tratamiento, Orígenes de la Protección de Datos en Europa, Los principios generales de protección de datos, Protección de datos como derecho fundamental de la UE, La adopción del RGPD
Presentación de la semana, Aplicación material y territorial, La diferencia entre responsable del tratamiento y encargado del tratamiento, El concepto de tratamiento de datos, Los datos sensibles, El concepto del derecho al olvido, El concepto de privacidad desde el diseño/privacidad por defecto, La figura del DPD, Medidas de seguridad, análisis de riesgos y PIA
Presentación de la semana, Extraterritorialidad, Países terceros con nivel adecuado de protección de datos, Normas Corporativas Vinculantes, Cláusulas contractuales tipo, Transferencias con EEUU: El Escudo de Privacidad, El RGPD como modelo global, Entrevista a Miriam J. Padilla Espinosa: Aplicación del RGPD en México, Entrevista a Daniel Monastersky: Aplicación del RGPD en Argentina
Presentación de la semana, Efecto directo del RGPD, Sanciones, La función del CEPD, La coordinación de las APD con el procedimiento de ventanilla única, Derechos ARCO, La LOPDGDD como normativa nacional española
Course: Engagement & Nurture Marketing Strategies
Modules:
Social Strategies Used by Organizations Today, Engagement Marketing Social Strategy, Engagement Example: Cadbury Dairy Milk, Engagement Example: Old Spice, How Startups and Small Businesses Can Use the Engagement Marketing Social Strategy
Effective Media Marketing, Your Content Marketing Strategy, Newsjacking to impact your high value markets, Eventjacking - a "must" engagement strategy for start-ups, Developing a 52 week Engagement Marketing Calendar - 2020 Calendar in Resources & Ignore Canvas References, Canva - Free Graphics for ALL your Social Media Sites, TubeBuddy - FREE YouTube Analytics System, Cool Infographics, Infographics for Businesses, Using an Engagement Strategy
Embrace Your High-Value Markets, Nurture Marketing Strategy, Nurture Marketing Strategy Examples, Importance of a Landing Page, Real-Time Marketing, Nurture Marketing Programs, Develop a Filter and Focus Blog, Create a Blog Article, Assignment Step by Step
5 Tips for Effective Blog Posts, Developing an Effective Blog
Course: Análisis visual con Tableau
Modules:
Colores, formas y tamaños, Gráficos de líneas y eje doble, Tablas de Texto, Mapas de Calor, Tablas de Resaltado, Barras, Histogramas y Diagramas de Dispersión
Fechas discretas vs continuas, Fechas personalizadas, Cálculo de nuevas fechas, Jerarquía de fechas
Campos Calculados, Cálculos rápidos y dentro de tablas, Nivel de detalle / Nivel de agrupación, Expresiones LOD - FIXED
Uso de parámetros, Orden de los filtros, Cómo aplicar los filtros, Grupos - Jerarquías - Conjuntos
Course: Introduction to Deep Learning & Neural Networks with Keras
Modules:
Welcome, Introduction to Deep Learning, Neurons and Neural Networks, Artificial Neural Networks
Gradient Descent, Backpropagation, Vanishing Gradient, Activation Functions
Deep Learning Libraries, Regression Models with Keras, Classification Models with Keras
Shallow Versus Deep Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Autoencoders
Summary
Course: Curanderismo: Traditional Healing of the Body
Modules:
Welcome Video, Intestinal Blockage (Empacho), Shawl Alignment (Manteadas)
Fire Cupping (Ventosas), Bone Setter (Huesero)
Mayan Abdominal Massage, Body Adjustment
Spinal Alignment, Hydrotherapy
Traditional Healing of Infants, Traditional Healing for the Aging Community
Course: 操作系统与虚拟化安全
Modules:
1.1 课程简介, 1.2 计算机系统的安全性, 1.3 操作系统安全的重要性, 1.4 安全与可信的区别, 1.5 安全操作系统的国内外研发现状, 1.6 美国TCSEC标准与可信评估等级, 1.7 欧盟ITSEC标准与CC标准的产生, 1.8 国际CC标准的主要内容及其应用
2.1 主体、客体和访问控制矩阵与通用安全需求, 2.2 安全三要素与安全策略, 2.3 安全建模思想, 2.4 引用监控器概念与安全内核设计思想, 2.5 安全周界与可信计算基等概念
3.1 访问控制任务与自主访问控制定义, 3.2 自主访问控制机制实现技术分类, 3.3 自主访问控制机制实例-9bit模式和ACL模式（含演示）, 3.4 特洛伊木马与强制访问控制定义, 3.5 多级安全思想与BLP机密性强制访问控制规则, 3.6 强制访问控制机制实例-安全级的标识与赋值（含演示）, 3.7 强制访问控制机制实例-安全规则的实现, 3.8 客体重用机制
4.1 标识与鉴别机制, 4.2 可信路径机制, 4.3 安全审计与审计事件, 4.4 审计保护与审计机制实例
5.1 最小特权原则与特权划分（13:20）, 5.2 管理角色与最小特权管理机制实例（含演示）（11:41）, 5.3 POSIX权能机制及最小特权管理机制实例（10:45）, 5.4 系统完整性保护（10:09）
6.1 隐蔽通道的概念（06:10）, 6.2 隐蔽通道的分类与判别方法（17:31）, 6.3 隐蔽通道的标识方法概述（07:26）, 6.4 规范级隐蔽通道标识方法-Kermerer共享资源矩阵法（23:14）, 6.5 代码级隐蔽通道标识方法-Tsai语义信息流分析法（07:35）, 6.6 隐蔽通道带宽计算方法（12:13）, 6.7 隐蔽通道处理方法（12:57）, 6.8 隐蔽通道构造场景与实例分析（含演示）（28:28）, 6.9 可信恢复机制（15:32）
7.1 安全模型基本要求（08:07）, 7.2 安全模型状态机开发方法（07:13）, 7.3 BLP经典安全模型-模型元素（12:39）, 7.4 BLP经典机密性安全模型-安全状态、安全属性、安全规则和定理（21:23）, 7.5 BLP模型的不足与改进（11:03）, 7.6 完整性涵义及其三个基本操作原则（06:33）, 7.7 BIBA经典完整性安全模型-完整性级别与信息传输路径（08:58）, 7.8 BIBA经典完整性安全模型-低水印策略、环策略和严格策略（11:50）, 7.9 Chinese Wall 中国墙混合安全模型思想及其安全规则（10:49）, 7.10 RBAC经典中立安全模型的概念与基本性质（08:46）, 7.11 RBAC96模型实体与相互关系（12:09）, 7.12 NIST RBAC模型实体与相互关系（07:03）, 7.13 DTE/TE经典中立安全策略（10:46）
8.1 安全体系结构概念与分类（11:45）, 8.2 多策略支持与GFAC广义存取控制框架（09:49）, 8.3 Flask安全体系结构-客体管理器（22:18）, 8.4 Flask安全体系结构-安全服务器（06:50）, 8.5 基于Flask的Linux安全模块框架LSM（I）-Linux体系结构、数据结构、钩子函数（18:23）, 8.6 基于Flask的Linux安全模块框架LSM（2）-安全系统调用、模块管理、权能模块独立与讨论（07:08）
9.1 可信计算概念（08:41）, 9.2 可信计算组织（12:10）, 9.3 TPM设计原则与体系结构（13:27）, 9.4 TPM密钥、信任状和所有权（12:22）, 9.5 TPM的Privacy CA和DAA认证方案（11:48）, 9.6 TPM的完整性度量、存储和报告机制（14:30）, 9.7 可信基础设施、可信软件栈和可信网络连接（08:39）, 9.8 可信计算技术的主要研究工作（15:29）, 9.9 访谈王绍斌博士（1）-可信计算技术国际化标准进程与应用案例（23:06）, 9.10 访谈王绍斌博士（2）-可信计算在移动终端、云计算等新型领域的应用趋势（15:39）, 9.11 访谈卿斯汉教授（1）-微软的可信赖计算概念（17:31）, 9.12 访谈卿斯汉教授（2）-TPM2.0的重要改进（27:27）
10.1 安全操作系统的开发方法（20:33）, 10.2 安全操作系统设计实例-背景与目标（访谈卿斯汉教授）（08:43）, 10.3 安全操作系统设计实例-总体设计（09:22）, 10.4 安全操作系统设计实例-安全模型的建立（10:46）, 10.5 安全操作系统设计实例-安全体系结构的设计（09:43）, 10.6 安全操作系统设计实例-安全机制的实现方法（24:54）
11.1 数据库安全概述（11:19）, 11.2 安全数据库管理系统（13:36）, 11.3 多级安全数据库管理系统关键技术之一多级数据模型（15:06）, 11.4 多级安全数据库管理系统关键技术之二数据库隐通道（08:30）, 11.5 多级安全数据库管理系统关键技术之三数据库体系结构（17:31）, 11.6 外包数据库安全关键技术（28:57）, 11.7 云计算与大数据时代的数据库安全（17:33）
12.1 虚拟化技术概述与分类（19:07）, 12.2 虚拟机监控器的实现方法-泛虚拟化、全虚拟化和硬件辅助虚拟化（16:27）, 12.3 虚拟机监控器的CPU虚拟化、内存虚拟化和I/O虚拟化技术（12:02）, 12.4 系统虚拟化平台安全性分析（13:34）, 12.5 虚拟机监控器安全--XSM框架的使用模型（11:08）, 12.6 虚拟机监控器安全--XSM框架的具体实现（14:24）, 12.7 虚拟机监控器安全--ACM和Flask策略实现（12:04）, 12.8 虚拟机迁移与安全控制（12:47）, 12.9 虚拟机的安全监控技术（08:08）, 12.10 虚拟机之间的隐蔽通道分析与标识, 12.11 虚拟可信平台架构设计, 12.12 虚拟可信平台关键技术--虚拟TPM信任链扩展, 12.13 虚拟可信平台关键技术--远程证实和可信迁移
期末考试
Course: Algorithms on Graphs
Modules:
Graph Basics, Representing Graphs, Exploring Graphs, Connectivity, Previsit and Postvisit Orderings
Directed Acyclic Graphs, Topological Sort, Strongly Connected Components, Computing Strongly Connected Components
Applications, Paths and Distances, Breadth-First Search, Breadth-First Search (continued), Implementation and Analysis, BFS Properties, Correct Distances, Shortest Path Tree
Fastest Route, Naive Algorithm, Dijkstra's Algorithm, Dijkstra Example, Implementation, Proof of Correctness, Analysis, Currency Exchange, Reduction to Shortest Paths, Bellman-Ford Algorithm, Proof of Correctness, Negative Cycles, Infinite Arbitrage
Building a Network, Greedy Algorithms, Cut Property, Kruskal's Algorithm, Prim's Algorithm
Programming Project: Introduction, Bidirectional Search, Six Handshakes, Bidirectional Dijkstra, Finding Shortest Path after Meeting in the Middle, Computing the Distance, A* Algorithm, Performance of A*, Bidirectional A*, Potential Functions and Lower Bounds, Landmarks (Optional), Highway Hierarchies and Node Importance, Preprocessing, Witness Search, Query, Proof of Correctness, Node Ordering
Course: Advertising and Society
Modules:
1.1 What Is Advertising?, 1.2 A Brief History of Advertising in America, 1.3 Media and Advertising, 1.4 About the Hartman Center at Duke University, 1.5 About the Advertising Educational Foundation
2.1 Subliminal Advertising, 2.2 Public Perception of the Advertising Profession, 2.3 Ethics and Advertsing
3.1 How Ads Mean What They Do to Us, 3.2 Interpreting TV Commercials, 3.3 Thinking about Interpretation
4.1 How Do Ads Get Made?, 4.2 Creativity Case Study, 4.3 The Role of Research in Advertising
5.1 Gender Representations in Ads - Part 1, 5.2 Gender Representations in Ads - Part 2, 5.3 Depictions of Gender in Mad Men
6.1 Does Sex Sell? - Part 1, 6.2 Does Sex Sell? - Part 2, 6.3 Niche Marketing: Gay Consumers
7.1 What's the Future of Advertising? - Part 1, 7.2 What's the Future of Advertising? - Part 2, 7.3 What's the Future of Advertising? - Part 3
Course: Smart Analytics, Machine Learning, and AI on GCP 日本語版
Modules:
コース概要
モジュールの概要, AI とは何か, アドホックなデータ分析から、データドリブンな意思決定まで, Google Cloud で利用可能な ML モデルの種類
モジュールの概要, 非構造化データに伴う困難, ML API によるデータの拡充, ラボの概要:  Natural Language API を使用した非構造化テキストの分類, Coursera: Google Cloud Platform と Qwiklabs を使用する
モジュールの概要, ノートブックとは, BigQuery のマジックと Pandas との連係, ラボの概要:  Vertex AI 上の JupyterLab における BigQuery
モジュールの概要, Google Cloud で ML を実行する方法, Vertex AI Pipelines, TensorFlow Hub, ラボの概要:  Vertex AI でパイプラインを実行する, まとめ
モジュールの概要, BigQuery ML を使った迅速なモデル構築, サポートされているモデル, ラボの概要:  BigQuery ML の回帰モデルを使用した自転車レンタル時間の予測, ラボの概要:  BigQuery ML での映画のレコメンデーション, まとめ
モジュールの概要, AutoML の利点, AutoML Vision, AutoML を使用した自然言語処理, AutoML Tables, まとめ
コースのまとめ
Course: Doing More with SAS Programming
Modules:
Welcome to the Course!, Practicing in This Course
Overview, DATA Step Review, DATA Step Processing, DATA Step Processing: Compilation, DATA Step Processing: Execution, Demo: DATA Step Processing in Action, Viewing Execution in the Log, Controlling DATA Step Processing, Implicit and Explicit Output, Sending Output to Multiple Tables, Demo: Directing Row Output, Controlling Column Output, Demo: Directing Column Output, Columns in the PDV
Overview, Demo: Creating an Accumulating Column, Retaining Values in the PDV, Using the Sum Statement, Answering Questions about Groups, Processing Sorted Data in Groups, Demo: Identifying the First and Last Row in Each Group, Subsetting Rows in the Execution Phase, Demo: Creating an Accumulating Column within Groups, Using Multiple BY Columns
Overview, Review of Functions, Specifying Columns Lists, Using a CALL Routine to Modify Data, Using Numeric Functions, Demo: Using Numeric Functions, SAS Date, Datetime, and Time Values, Extracting Data from a Datetime Value, Calculating Date Intervals, Shifting Date Values, Demo: Shifting Date Values Based on an Interval, Useful Character Functions, Extracting Words from a String, Demo: Using Character Functions to Extract Words from a String, Searching for Character Strings, Replacing Character Strings, Handling Column Type, Converting Column Type, Converting Character Values to Numeric Values, Using a Generic Informat to Read Dates, Converting the Type of an Existing Column, Converting Numeric Values to Character Values, Demo: Using the INPUT Function to Convert Column Types, Demo: Using the PUT Function to Convert Column Types
Overview, Formatting Data Values, Creating and Applying a Custom Format, Using Ranges, Demo: Creating and Using Custom Formats, Reading a Table of Values for a Format, Demo: Creating Custom Formats from Tables, Storing Custom Formats
Overview, Concatenating Tables with Matching Columns, Demo: Concatenating Tables, Handling Column Attributes, What is a Merge?, Processing a One-to-One Merge, Processing a One-To-Many Merge, Demo: Merging Tables, Merging Tables with Nonmatching Rows, Identifying Matches and Nonmatches, Demo: Merging Tables with Nonmatching Rows, Merging Tables with Matching Column Names, Merging Tables without a Common Column, DATA Step Merge and PROC SQL Join
Overview, Processing Repetitive Code, Iterative DO Loops, Demo: Executing an Iterative DO Loop, Output Inside and Outside the DO Loop, Demo: Using Iterative DO Loops, Conditional DO Loops, Checking the Condition, Demo: Using Conditional DO Loops, Combining Iterative and Conditional DO Loops, Demo: Combining Iterative and Conditional DO Loops
Overview, Understanding Table Structure, Restructuring Data, Demo: Creating a Narrow Table with the DATA Step, Creating a Wide Table with the DATA Step, The Transpose Procedure, Transposing Values within Groups, Demo: Creating a Wide Table with PROC TRANSPOSE, Creating a Narrow Table with PROC TRANSPOSE, Changing Column Names
Course: Strategic Innovation: Building and Sustaining Innovative Organizations
Modules:
Introduction to the Course, Welcome from Professor Geoff Love!, Welcome from Professor Michael Roach!, Learn on Your Terms, Innovation Lifecycles Introduction, Innovation Adoption Lifecycle, Will the "New-to-the-World" Innovation Fly? - Part 1, Will the "New-to-the-World" Innovation Fly? - Part 2, Types of Innovations, Crossing Over from Niche Markets to Mass-Market Dominance, Prospect Theory: Minimizing Losses and Maximizing Gains
Disruptive Innovation Introduction, Demand-Side Disruption, Examples of Disruption - Part 1, Examples of Disruption - Part 2, Demand-Side Disruption: Prescriptions for Incumbents for Assessing Disruptions, Demand-Side Disruption: Creating a Disruptive Innovation, Strategic Renewal at IBM
Open Innovation Introduction, Open Innovations - Part 1, Open Innovations - Part 2, Becoming an Innovative Leader in a Connected World
Multi-Sided Innovation Platforms Introduction, The Strategic Logic, Network Effects, Multi-sided Markets, Contemporary Business Models in the Era of Digitization, The Story of OpenTable
Course: الطاقة الإيجابية | Positive Energy
Modules:
تعريفات الطاقة الإيجابية, العوامل القاتلة للطاقة الإيجابية, إحاطة نفسك بأشخاص إيجابيين, أمثلة عن الأشخاص الإيجابيين والأشخاص السلبيين, كيفية التعامل مع الأشخاص السلبيين, التطوع, السعي وراء هدف محدد, التفكر والتأمل في المستقبل, مفهوم التقبل, التوازن بين الحاضر والمستقبل, الخلاصة
Course: Learn to Speak Korean 1
Modules:
Welcome to Learn to Speak Korean 1!, 1.1 Lecture, 1.2 Lecture, 1.3 Lecture, 1.4 Lecture, 1.5 Lecture
2.1 Lecture, 2.2 Lecture, 2.3 Lecture, 2.4 Lecture, 2.5 Lecture
3.1 Lecture, 3.2 Lecture, 3.3 Lecture, 3.4 Lecture, 3.5 Lecture
4.1 Lecture, 4.2 Lecture, 4.3 Lecture, 4.4 Lecture, 4.5 Lecture
5.1 Lecture, 5.2 Lecture, 5.3 Lecture, 5.4 Lecture, 5.5 Lecture
6.1 Lecture, 6.2 Lecture, 6.3 Lecture, 6.4 Lecture, 6.5 Lecture
Course: Inglés Empresarial: Proyecto Final
Modules:
Welcome Wishes, Top Tier Success - Advice for Learners, Example Submission and Feedback (D1), Example Submission and Feedback (D2), Example Submission and Feedback (D3), Example Submission and Feedback (D4)
Top Tier Success~Advice for Learners, CEO: Example Submission and Feedback (D5 & D6), CFO: Example Submission and Feedback (D5 & D6), CMO: Example Submission and Feedback (D5 & D6)
Top Tier Success Advice for Learners, Example Submission and Feedback (D7), Example Submission and Feedback (D8), Example Submission and Feedback (D7), Example Submission and Feedback (D8), Example Submission and Feedback (D7), Example Submission and Feedback (D8)
Top Tier Success ~ Advice for Learners, CEO Example Submission and Feedback (D9 & D10), CFO Example Submission and Feedback (D9 &10), CMO: Example Submission and Feedback (D9 &10)
How to Begin? Watch Wanda Walk Through Her Process, Example Submission and Feedback (Final Pitch), Congratulations! You Did It!
Course: Doing more with Google Sheets
Modules:
Meet the instructor, Create a new spreadsheet, Edit your spreadsheet, Duplicate, print, or publish your spreadsheet, Use some basic keyboard shortcuts, Test time - now it's your turn!
Welcome to “Working with formulas and functions”, Import data to your sheet, Analyze your data, Use formulas & functions, Use paste special in a spreadsheet, Test time - now it's your turn!
Welcome to “Telling stories with data”, Format cells, rows, and columns in your spreadsheet, Highlight key data points in your spreadsheet, Enter objects in your spreadsheet, Test time - now it's your turn!
Welcome to “Supercharge your sheet”, Dive deeper into your data, Tell your story with your data, Use the GOOGLETRANSLATE and GOOGLEFINANCE functions, Analyze your trends alongside Big Data patterns, Test time - now it's your turn!
Welcome to “Collaborating in Sheets”, Share a spreadsheet, Maintain control of your data, Troubleshoot error messages, Collaborate with your team, Track changes and activity, Test time - now it's your turn!
Course: Dense Gases, Liquids and Solids
Modules:
Dense Gases: The Configuration Integral and The Fundamental Relation, Property Relations including the Virial Equation of State, Potential Energy Functions, Empirical Equations of States
The Basics of Thermodynamic Stability, First Order Phase Transitions and Finding the Vapor Dome, Gibb's Phase Rule
Liquids: Cells, The Radial Distribution Function and Thermodynamic Properties, Molecular Dynamics, Determining g(r) from Molecular Dynamics
Solids: The Einstein Crystal, The Debye Crystal
Course: Introduction to building Web Pages using HTML5 and CSS3
Modules:
Context Setting, Anatomy of a HTML element and a HTML document, Watch and Repeat : Create a HTML document in notepad/text editor, Create a web page using commonly used HTML5 elements, Watch and Repeat :  Downloading and Installing VS code, Watch and Repeat : Creating header and paragraph elements in a HTML file, Watch and Repeat : Creating image , anchor and  list tags in a HTML file, Install a HTTP server to deliver web pages, Use Emmet Tool Kit and multi cursor feature in VS Code, Watch and Repeat : Emmet Toolkit and Multi-cursor, Practice Brief 1, Practice Brief 2, Practice Debrief :: Develop a web page using HTML, Learning Consolidation
Context Setting, Differentiate between non-semantic and semantic elements​, Watch and Repeat : Semantic and Non-Semantic Elements, Identify the benefits of using semantic elements​, Explain the use of semantic markup by screen readers for page navigation​, Watch and Repeat : Aria Lables, Structure a web page using semantic HTML elements, Watch and Repeat : Popular semantic  HTML5 elements, Watch and Repeat : Semantic elements like Footer, Figure and Details, Practice Brief, Practice Debrief, Learning Consolidation
Context Setting, Use CSS to style a HTML page, Watch and Repeat : Different ways of applying styles, Select HTML elements using CSS selectors, Watch and Repeat : Select HTML elements using CSS selectors, Apply styles to an HTML element using CSS properties​, Watch and Repeat : Apply styles using CSS properties, Practice Brief, Practice Debrief, Learning Consolidation
Context Setting, Create layouts by using the CSS box model​, Apply margin, border and padding to add more breathing space to the design​, Watch and Repeat : CSS Box Model, Watch and Repeat : Standard and Alternate box model, Manage grouping of elements using the CSS display property​, Watch and Repeat : CSS display property, Apply CSS specificity, Watch and Repeat : CSS specificity, Use BEM syntax while creating the CSS class names​, Practice Brief, Practice Debrief, Learning Consolidation
Course: Control Flow in RPA
Modules:
Welcome, Introduction to Sequences, Control Flow and Its Types
If Activity, Demonstration-If Activity, Switch Activity, Demonstration-Switch Activity, Difference between If and Switch Activity
Introduction to Loop Activities and Their Types, Do While Activity, Demonstration-Do While Activity, While Activity, Demonstration-While Activity, For Each Activity, Demonstration-For Each Activity
Other Control Flow Activities, Delay Activity, Demonstration-Delay Activity, Break Activity, Demonstration-Break Activity, Assign Activity, Demonstration-Assign Activity, Continue Activity, Demonstration-Continue Activity, Parallel Activity, Demonstration-Parallel Activity
Introduction to Flowcharts, Demonstration-Flowcharts, Decision-Making in Flowcharts, Demonstration-Decision-Making in Flowcharts, Loops in Flowcharts, Demonstration-Loops in Flowcharts, Nesting Flowcharts and Sequences
Introduction to Errors and Exceptions, Error Handling Approach and Activities, Try Catch Activity, Demonstration - Try Catch Activity, Retry Scope Activity, Continue on Error Activity
Course: التقانة والمستشعرات النانوية - الجزء الثاني
Modules:
مقدمة الجزء الثاني, الدرس السادس/ الجلسة الاولى- المستشعرات المستندة الى الأسلاك النانويّة, الدرس السادس/ الجلسة الثانية- المستشعرات المستندة الى الأسلاك النانويّة, الدرس السادس/ الجلسة الثالثة- المستشعرات المستندة الى الأسلاك النانويّة, الدرس السادس/ الجلسة الرابعة - المستشعرات المستندة الى الأسلاك النانويّة
الدرس السابع/ الجلسة الاولى- المستشعرات المستندة الى الأنابيب النانويّة الكربونيّة, الدرس السابع/ الجلسة الثانية- المستشعرات المستندة الى الأنابيب النانويّة الكربونيّة, الدرس السابع/ الجلسة الثالثة- المستشعرات المستندة الى الأنابيب النانويّة الكربونيّة, الدرس السابع/ الجلسة الرابعة - المستشعرات المستندة الى الأنابيب النانويّة الكربونيّة
الدرس الثامن/ الجلسة الثانية- المستشعرات المستندة للهياكل النانويّة لأكسيد الفلز, الدرس الثامن/ الجلسة الثالثة- المستشعرات المستندة للهياكل النانويّة لأكسيد الفلز, الدرس الثامن/ الجلسة الاولى- المستشعرات المستندة للهياكل النانويّة لأكسيد الفلز
الدرس التاسع/ الجلسة الاولى- المستشعرات المستندة الى الهياكل النانويّة البوليميريّة, الدرس التاسع/ الجلسة الثانية- المستشعرات المستندة الى الهياكل النانويّة البوليميريّة, الدرس التاسع/ الجلسة الثالثة- المستشعرات المستندة الى الهياكل النانويّة البوليميريّة, الدرس التاسع/ الجلسة الرابعة  المستشعرات المستندة الى الهياكل النانويّة البوليميريّة
الدرس العاشر/ الجلسة الاولى- الجلد الألكتروني المستند الى تقنيّة النانو, الدرس العاشر/ الجلسة الثانية- الجلد الألكتروني المستند الى تقنيّة النانو, الدرس العاشر/ الجلسة الثالثة- الجلد الألكتروني المستند الى تقنيّة النانو
Course: Unión Europea: Historia, Instituciones y Políticas
Modules:
Presentación del curso
Presentación de la semana, La Idea de Europa, La construcción europea, Europa 1957-2017: 60 años de paz, democracia y solidaridad, Jean Monnet, el padre de Europa, ¿Qué competencias tiene la UE?, El Brexit
Presentación de la semana, Introducción al sistema institucional, El Consejo Europeo, El Consejo de la Unión Europea, El Parlamento Europeo, ¿Qué hace el Presidente del Parlamento Europeo?, Elecciones al Parlamento Europeo, Parlamento: 70 años de democracia europea en acción, Las Oficinas de Enlace del Parlamento Europeo, La Comisión Europea, Las Agencias de la Unión Europea, Red de agencias de la UE, Los Centros Europe Direct
Presentación de la semana, El derecho de la Unión Europea, La participación ciudadana en la elaboración de leyes europeas, El Tribunal de Justicia de la Unión Europea, Ciudadanía europea, Derecho a las prestaciones por desempleo y libre circulación, Libre circulación y pensión de jubilación, Derecho a votar en las elecciones europeas, El espacio de Libertad, Seguridad y Justicia
Presentación de la semana, El mercado único, La política de competencia I, La política de competencia II, 5 derechos cuando se compra por Internet, El Euro, el BCE y la gobernanza económica europea, El presupuesto de la Unión Europea, La Oficina Europea de Lucha contra el Fraude (OLAF), El mecanismo de condicionalidad del Estado de Derecho, Resolución de disputas en línea, Reparto transfronterizo de paquetes en la UE
Presentación de la semana, La Política Agrícola Común (PAC), Cohesión territorial y desigualdades en Europa: la política regional de la Unión Europea, Fondos para la Cooperación entre Ciudades y Regiones de Europa, El Pacto Verde Europeo, Reducir las emisiones de CO2 con coches menos contaminantes: nuevas normas de la UE, Ampliación de la infraestructura de combustibles alternativos de la UE, El Régimen de Comercio de Derechos de Emisión actualizado, El Mecanismo de Ajuste en Frontera por Carbono, Transición energética: Un fondo para ayudar a los más vulnerables, ¿Qué es Erasmus+?
Presentación de la semana, PESC y PCSD, Estrategia global de la UE, Global Gateway, La dimensión ambiental de la acción exterior de la UE (Parte I), La dimensión ambiental de la acción exterior de la UE (Parte II), La cooperación al desarrollo y los ODS, Política comercial, Programa FORCYT para el fortalecimiento de los sistemas científicos en Iberoamérica, Conclusión
Course: The People, Power, and Pride of Public Health
Modules:
Hib Vaccine Introduction, Santosham Interview, Road Safety Introduction, Baker Interview, WIC Program Introduction, Paige Interview, Fraser Introduction, Fraser Interview
Public Health Surveillance Introduction, Lucy Wilson & Megan Wallace Interview, Public Health Communication Introduction, Rosie Henson Interview, Public Health Policy Introduction, Congressman Henry Waxman Interview
People of Public Health Introduction, Derek: Disease Investigation, Terry: Emergency Preparedness, Mary: Home Nursing, Tyler: Environmental Inspection, Doing Good and Doing Well in Public Health
Course: Legal Tech and the Digital Transformation of Law
Modules:
Lesson 1, Lesson 2
Lesson 3, Lesson 4
Lesson 5, Lesson 6, Lesson 7
Lesson 8, Lesson 9, Lesson 10, Lesson 11
Lesson 12, Lesson 13, Lesson 14
Course: GenAI for Cybersecurity Analysts
Modules:
Introduction to GenAI for Cybersecurity Analysts, History & Background for GenAI and Cybersecurity Analysts, Demo: Security Report Writing and Threat Detection with ChatGPT, Remediating Risks and Ethical Concerns, Demo: Evaluating Cybersecurity Solutions with ChatGPT-4, Closing Thoughts: What’s Next
Course: R을 사용한 확률 및 데이터 소개
Modules:
R을 사용한 통계 소개
소개, 데이터 기초, 관찰 연구 및 실험, 표본 추출 및 편향의 원인, 실험 설계, (스포트라이트) 무작위 표본 배정
실습실 선택 정보(선택 전 읽어보기), 1주차 실습 지침(RStudio)
수치형 데이터 시각화, 중심의 측정값, 산포 측정값, 강력한 통계, 데이터 변환, 범주형 변수 탐색, 추론 소개
2주차 실습 지침(RStudio), 2주차 실습 지침(RStudio Cloud)
소개, 분리된 이벤트 + 일반 추가 규칙, 독립, 확률 예, (스포트라이트) 분리 vs. 독립적, 조건부 확률, 확률 트리, 베이지안 추론, 베이지안 추론의 예
3주차 실습 지침(RStudio), 3주차 실습 지침(RStudio Cloud)
정규 분포, 정규 분포 평가, 정규 분포 연구, 이항 분포, 이항에 대한 정규 근사, 이항 분포 연구
프로젝트 정보
Course: Comment rédiger et publier un article scientifique (Enseignement par projet)
Modules:
Introduction de Mathis Plapp, Qu'allons-nous apprendre durant ce cours ?, Pourquoi faut-il publier ?, "CSC" : Connaître sa communauté, Comment publier : le processus de révision par les pairs, Les journaux scientifiques, L'éthique
"CSP" : connaître son papier, Comment faire ? La revue de littérature 1/2 : trouver de bonnes références, Comment faire ? La revue de littérature 2/2 : créer sa revue de littérature, Comment faire ? le design de la recherche, Comment faire ? L'écart, Présentation de Zotero : comment aggréger des références
La structure d'un article scientifique, Ecrire un article scientifique : conseils préliminaires, Comment faire ? La bibliographie, Le résumé, Zotero : les ajouts du compte en ligne
Comment éviter d'être ennuyeux ?, Les principales erreurs à vérifier : le format, 1. Le chercheur, 2. L'éditeur, comment construire sa Checklist V2
Course: Encoder-Decoder Architecture - Italiano
Modules:
Architettura encoder-decoder: Panoramica, Architettura encoder-decoder: Procedura dettagliata del lab
Course: Strategic Edge Security Management
Modules:
Welcome to the course!, 1: Evaluating the Impact of Edge Computing Breaches, 2: Edge Computing Risk Identification Methodologies, 1: Estimate Cyber-Attack Probability with Threat Data and Trends, 2: Evaluate the Impact of Cyber Incidents on an Organization
1: Risk Prioritization of Edge Computing, 2: Develop  Risk Mitigation Strategies for Edge Computing Risks, 1: Real-time Monitoring and Incident Response, 2: Scalable and Adaptive Security Solutions
1: Overview of International Standards in Edge Computing, 2: Strategies for Harmonizing International Standards in Edge Computing, 1: Keeping Up with Changes in Edge Computing  Standards, 2: The Compliance Risk Management Framework for Edge Computing
Course: Work Smarter with Microsoft PowerPoint
Modules:
Introduction to Work Smarter with PowerPoint, Navigating this course, Navigate the PowerPoint environment, Using the ribbon, Working with slides and files, Create and save a PowerPoint presentation, Use help, Select a presentation type, Build a presentation, Lay out a presentation, Edit text, View and navigate a presentation, Module summary - Getting started with PowerPoint
Module introduction - Advanced text editing, Format characters, Format paragraphs, Format text boxes, Insert images, Insert shapes, Insert WordArt, Create SmartArt, Modify SmartArt, Change the look and feel of SmartArt, Edit objects, Format objects, Group objects, Arrange objects, Animate objects, Module summary - Advanced text editing
Module introduction - Enhancing the appearance of a presentation, Create a table, Format a table, Insert a table from other Microsoft Office applications, Create a chart, Format a chart, Manipulate a chart, Insert a chart from Microsoft Excel, Add Audio to a presentation, Add Video to a presentation, Customize animations, Timing groups and motion paths, Module summary - Enhancing the appearance of a presentation
Module introduction - Preparing to deliver a presentation, Review your presentation, Review compatibility and accessibility, Apply transitions, Print your presentation, Deliver your presentation, Add comments to a presentation, Review a presentation, Store and share presentations on the Web, Manage a presentation, Create and manage sections, Modify slide masters and slide layouts, Add headers and footers, Modify the notes master and the handout master, Annotate a presentation, Set up a slide show, Create a custom slide show, Add hyperlinks and action buttons, Record a presentation, Module summary - Preparing to deliver a presentation, Course wrap up - Work Smarter with Microsoft PowerPoint
Project introduction
Course: ETL and Data Pipelines with Shell, Airflow and Kafka
Modules:
Course Intro video, ETL Fundamentals, ELT Basics, Comparing ETL and ELT, Data Extraction Techniques, Introduction to Data Transformation Techniques, Data Loading Techniques
ETL Using Shell Scripting, Introduction to Data Pipelines, Key Data Pipeline Processes, Batch versus Streaming Data Pipeline Use Cases, Data Pipeline Tools and Technologies
Apache Airflow Overview, Advantages of Representing Data Pipelines as DAGs in Apache Airflow, Apache Airflow UI, Build a DAG Using Airflow, Airflow Logging and Monitoring
Distributed Event Streaming Platform Components, Apache Kafka Overview, Building Event Streaming Pipelines using Kafka, Kafka Streaming Process
Project Overview, Graded Timed Final Exam Instructions, Congrats & Next Steps, Thanks from the Course Team
Course: Generative AI: Advance Your Human Resources (HR) Career
Modules:
Course Introduction, Significance and Benefits of Generative AI in HR, Application of Generative AI in HR, Generative AI Capabilities Driving HR Use Cases, Generative AI tools for HR, IBM watsonx Orchestrate, AI Agents for Human Resources, What Is a Digital Employee?
Recruitment and Onboarding of New Hires, Enabling Learning and Development, Implementing Performance Appraisal, Generative AI Enables HR's Shift to Strategy, Employee Engagement and Personalization, Organizations using Generative AI in HR, Developing an AI Adoption Roadmap for HR, Building AI-Enabled Human Resource Team
Ethical Considerations for Using Generative AI in HR, Responsible Use of Generative AI in HR, Custom Generative AI Models for Your Organization, Course Wrap-Up
Course: The Science of Success: What Researchers Know that You Should Know
Modules:
On Street Interviews - What is Success?, Welcome and Why I Created this Course, What is Success?, What Predicts Success? Myths and Realities, Interview with Vic Strecher, University of Michigan Professor of Public Health, discussing the importance of finding purpose in life and work.  This video complements required video 2 (What is Success?).
What is a Growth Mindset and How Can it Help You Succeed?, How the Growth Mindset Reduces Negative Impacts of Prejudice, What Are Positive Core Self-Evaluations and How Can they Help You Succeed and Make More Money, Too
The Miracle on the Hudson, What Separate Experts from Non-Experts?, How You Can Become an Expert through Purposeful, Deliberate Practice
What is Conscientiousness, and Why Are Conscientiousness People More Likely to Succeed in School, at Work, and in Life?, What is Grit, Why Do Gritty People Succeed, and How Can You Develop Your Grit
What is Social Capital and Why Does It Matter?, Developing Self-Awareness and Creating Your Brand, Becoming an Energizer, Building your Network and Social Capital
The Power of a Plan – Creating a Personalized Action Plan that Gets Results
Post-Course Survey, Title: Keep Learning with Michigan Online!
Course: Database Essentials and Vulnerabilities
Modules:
Course Introduction, Introduction to Data and Databases, Relational Databases, Non-Relational Databases, Relational Data Concepts
SELECT Statement, COUNT, DISTINCT, LIMIT, INSERT Statement, UPDATE and DELETE Statements, Database Roles and Permissions, Database Management, Backing Up Databases
Data Types, Data Classifications, General Data Protection Considerations, Methods of Securing Data: Part 1, Methods of Securing Data: Part 2, Database User Profiles, Password Policies, Privileges and Roles, Design and Implement Database Application Security Models, Design and Implement Database Auditing Models, Application Data Auditing, Auditing Database Activities
Introduction to Injection Flaws, OS Command Injection: Part 1, OS Command Injection: Part 2, OS Command Injection: Part 3, SQL Injection: Part 1, SQL Injection: Part 2, Database Injection Vulnerabilities, Other Types of Injections
Course Wrap-Up
Course: Attention Mechanism - Bahasa Indonesia
Modules:
Mekanisme Atensi: Ringkasan
Course: Operations Research (2): Optimization Algorithms
Modules:
Prelude, 1-1: Overview., 1-2: The row and column views for a linear system – A two-dimensional example., 1-3: The row and column views for a linear system – A three-dimensional example., 1-4: Using Gaussian elimination to solve Ax=b – Nonsingular., 1-5: Using Gauss-Jordan elimination to solve A^(-1) – Singular., 1-6: Linear dependence and independence.
2-0: Opening., 2-1: Introduction., 2-2: Standard form – Extreme points., 2-3: Standard form – Standard form LPs., 2-4: Standard form – Standard form LPs in matrices., 2-5: Basic solutions – Independence among rows., 2-6: Basic solutions – Basic solutions., 2-7: Basic solutions – An example for listing basic solutions., 2-8: Basic solutions – Basic feasible solutions., 2-9: Basic solutions – Adjacent basic feasible solutions., 2-10: The simplex method – The idea., 2-11: The simplex method – The first move., 2-12: The simplex method – The second move., 2-13: The simplex method – Updating the system through elementary row operations., 2-14: The simplex method – The last attempt with no more improvement., 2-15: The simplex method – Visualization and summary for the simplex method., 2-16: The tableau representation – An example., 2-17: The tableau representation – Another example., 2-18: Solving unbounded LPs., 2-19: Infeasible LPs – The two-phase implementation., 2-20: Infeasible LPs – An example., 2-21: Computers – Gurobi and Python for LPs., 2-22: Computers – An example., 2-23: Computers – Model-data decoupling., 2-24: Closing remarks.
3-0: Opening., 3-1: Introduction., 3-2: Linear relaxation., 3-3: Properties of linear relaxation., 3-4: Idea of branch and bound., 3-5: Example 1 for branch and bound (1)., 3-6: Example 1 for branch and bound (2)., 3-7: Example 2 for branch and bound., 3-8: Remarks for branch and bound., 3-9: Solving the continuous knapsack problem., 3-10: Solving the knapsack problem with branch and bound., 3-11: Heuristic algorithms., 3-12: Performance evaluation., 3-13: Remarks for performance evaluation., 3-14: Computers – Gurobi and Python for IPs., 3-15: Closing remarks.
4-0: Opening., 4-1: Introduction., 4-2: Gradient descent – Gradient and Hessians., 4-3: Gradient descent – A gradient is an increasing direction., 4-4: Gradient descent – The gradient descent algorithm., 4-5: Gradient descent – Example 1., 4-6: Gradient descent – Example 2., 4-7: Newton’s method – Newton’s method for a nonlinear equation., 4-8: Newton’s method – Newton’s method for a single-variate NLPs., 4-9: Newton’s method – An example for single-variate Newton’s method., 4-10: Newton’s method – Newton’s method for multi-variate NLPs., 4-11: Computers – Gurobi and Python for NLPs., 4-12: Closing remarks.
5-0: Opening., 5-1: Background., 5-2: Motivation and objective., 5-3: Three levels of modeling., 5-4: Conceptual modeling., 5-5: Mathematical modeling (1)., 5-6: Mathematical modeling (2)., 5-7: Results., 5-8: A heuristic algorithm., 5-9: Pseudocode., 5-10: Performance evaluation., 5-11: Closing remarks.
6-1: Summary and discussions., 6-2: Preview of the next course., A story that never ends
Course: Intro to Lean Six Sigma and Project Identification Methods
Modules:
Course Introduction, Origin and evolution of Lean, Lean Essentials, Origin and goals of Six Sigma, Introduction to DMAIC and DMADV, The define phase, The measure phase, Analyze phase, The improve phase, The control phase
Defect metrics, Voice of customers, businesses, employees, and processes, Cost of quality, Overview of CTQ, the CTQ tree, converting a purpose into CTQ
Overview of process mapping, Overview of SIPOC, Purpose and elements of a project charter, Project deliverables: Risks and mitigation, Course wrap-up video
Congratulations & Next Steps, Thanks from the Course Team
Course: Sexualidad...mucho más que sexo
Modules:
Bienvenida y autoevaluación
Sexo y sexualidad ¿En qué se diferencian?, Barreras para conversar acerca de la sexualidad, Para terminar..., ¿Qué es sexo?, Procesos biológicos, Para terminar..., Para comenzar..., ¿Qué es el género?, Para terminar..., ¿Qué es la orientación sexual?, Procesos psicológicos, La orientación sexual, un asunto complejo, Identidad y sexualidad, ¿Qué es la sexualidad?, Sexualidad, un aspecto de la identidad
Para comenzar: "Yo soy... lo que he vivido", ¿Qué es la identidad con el sexo?, ¿Cómo se desarrolla la identidad con el sexo?, La identidad con el sexo y la valoración personal, La identidad con el sexo y los agentes de socialización sexual, ¿Qué es la identidad con el género?, Desarrollo de la identidad con el género, ¡Esto es cuestión de género!, ¿Qué es la identidad con la orientación sexual?, Desarrollo de la identidad con la orientación sexual, Condiciones del ambiente que influyen en el desarrollo de la identidad con la orientación sexual, Para terminar...
Para comenzar: "Mis decisiones hablan de mi sexualidad", ¿Qué es un plan de vida?, Plan de vida y autonomía, ¿Qué son las relaciones afectivas?, La cercanía y la autonomía, un requisito para la autenticidad, Toma de decisiones autónomas en las relaciones afectivas, Decisiones en las relaciones afectivas, ¿Qué es la actividad sexual?, Estándares sexuales y decisiones sexuales, Análisis crítico de los estándares sexuales
Para comenzar: "Me atrevo a conversar sobre sexualidad", ¿Qué significa ser feliz?, ¿Qué es bienestar?, Relación entre sexualidad y bienestar, Hablar acerca de la sexualidad, Respondiendo a la curiosidad infantil, Reglas de oro para abrir canales de comunicación sobre la sexualidad desde la  infancia, Para terminar..., Para terminar
Course: Building Batch Data Pipelines on Google Cloud
Modules:
Course Introduction
Module introduction, EL, ELT, ETL, Quality considerations, How to carry out operations in BigQuery, Shortcomings, ETL to solve data quality issues
Module introduction, The Hadoop ecosystem, Running Hadoop on Dataproc, Cloud Storage instead of HDFS, Optimizing Dataproc, Optimizing Dataproc Storage, Optimizing Dataproc Templates and Autoscaling, Optimizing Dataproc Monitoring, Lab Intro: Running Apache Spark jobs on Dataproc, Getting Started with Google Cloud and Qwiklabs, Summary
Module introduction, Introduction to Dataflow, Why customers value Dataflow, Building Dataflow Pipelines in code, Key considerations with designing pipelines, Transforming data with PTransforms, Lab Intro: Building a Simple Dataflow Pipeline, Aggregate with GroupByKey and Combine, Lab Intro: MapReduce in Beam, Side Inputs and Windows of data, Lab Intro: Serverless Data Analysis with Dataflow: Side Inputs, Creating and re-using Pipeline Templates, Summary
Module introduction, Introduction to Cloud Data Fusion, Components of Cloud Data Fusion, Cloud Data Fusion UI, Build a pipeline, Explore data using wrangler, Lab Intro: Building and executing a pipeline graph in Cloud Data Fusion, Orchestrate work between Google Cloud services with Cloud Composer, Apache Airflow Environment, DAGs and Operators, Workflow scheduling, Monitoring and Logging, Lab Intro: An Introduction to Cloud Composer
Course Summary
Course: Datenanalyse verwalten
Modules:
Kursinhalte, Datenanalyse-Iteration, Stufen der Datenanalyse, Sechs Arten von Fragen, Merkmale einer guten Frage, Ziele und Erwartungen der explorativen Datenanalyse, Verwendung von statistischen Modellen zur Erforschung Ihrer Daten (Teil 1), Verwendung von statistischen Modellen zur Erforschung Ihrer Daten (Teil 2), Explorative Datenanalyse: Wann man aufhören soll soll, Inferenzen aus Daten ziehen: Einführung, Grundgesamtheiten treten in vielen verschiedenen Formen auf, Inferenz: Was schiefgehen kann, Allgemeiner Rahmen, Zusammenhanganalysen, Vorhersageanalysen, Inferenz und Vorhersage, Interpretation Ihrer Ergebnisse, Routinemäßige Kommunikation in der Datenanalyse, Erstellung einer Präsentation der Datenanalyse