dipopotamus/custom_instruct_coursera_course_module_list huggingface dataset:
Course: Un carnet interculturel pour une mobilité universitaire
Modules:
Teaser
Interview Bianca, Interview Eske, Interview Filippo, Interview Ines, Interview Luciano, Interview Maria, Interview Miao, Interview Mounir, Interview Osama, Interview Regis, Interview Tatiana, Interview Tereza, Interview Tian Xu
MindMap - Description des étapes de fabrication du carnet, MindMap - Objectif de l'atelier en semaine 1, Consignes - A vous ! des pistes pour vous raconter...
Préambule - Tout voyage commence... par un carnet !, Définition - Qu'est-ce que la sémiologie appliquée au carnet de voyage ?, Activité - Des carnets à découvrir et examiner
Introduction - Un jeu de questions-réponses à écouter, MindMap - Carnet, de la création à la publication, en 13 questions, Audio Cours - Partie 1 - Le carnet et sa raison d'être, Audio Cours - Partie 2 - Le carnet et le voyage, Audio Cours - Partie 3 - Le carnettiste et sa démarche, Audio Cours - Partie 4 - Le carnet et sa relation aux arts, Audio Cours - Partie 5 - Le carnet et sa relation à l'édition, Pour aller plus loin
MindMap - Objectif de l'atelier en semaine 2, Méthodologie - Les éléments constitutifs d'un carnet de voyage, Consignes - Enregistrez les réponses de vos quiz
Cours - Introduction : Pourquoi l’interculturel ?, Cours - Moment 1  : Nos identités plurielles, l’alter Ego, Cours - Moment 2  : Les cultures, Cours - Moment 3 : Une dialectique de l’Entre-Deux, Cours - Moment 4 : Des outils méthodologiques interculturels
MindMap - Objectif de l'atelier en semaine 3, Outils d'analyse - à mettre en relation avec vos souvenirs...
Cours - Introduction : Approche herméneutique de l’interculturel, Cours - 1 - La communication interculturelle avec ses trois éléments essentiels: l’interprétation, l’imagination et l’émotion, Cours - 2 - L’intelligence interculturelle, Interview - 2 - Michel Sauquet Culturoscope, Cours - 3 - L’expérience interculturelle : exemples concrets et témoignages, Table ronde - 3 - Rapport au temps, Table ronde - 3 -  Rapport au conflit, Cours - 4 - La compétence interculturelle: une compétence clé du 21e siècle, Cours - 5 - Les trois vertus interculturelles par excellence : l’élasticité, la curiosité et l’empathie, Extraits - Table ronde - 5 - Mots clefs Michel Sauquet, Extraits - Table ronde - 5 - Mots clefs Philippe Pierre
Théorie - Méthodologie : la grille d'analyse de Michel Sauquet, Activité - Faire émerger la dimension interculturelle des récits de vie, Feedback sur le décryptage interculturel des récits de vie
MindMap - Objectif de l'atelier en semaine 4, Activité - Appliquer la grille d'analyse de Michel Sauquet à votre mobilité
Présentation - Le carnet de voyage, Présentation - La singularité du carnet interculturel
Objectif de l'atelier en semaine 5, étape finale, Consignes - Comment assembler vos "bouts de carnet" en UN ?
MindMap - Et voilà le moment de partage et d'exposition de votre carnet interculturel, Consignes : Temps à consacrer à la correction des carnets de vos pairs, Exposition des carnets
Course: Business Impact
Modules:
Meet your Instructor
Delivering Business Impact, Case Study Solution
Course: Perspectivas en Transformación Digital: Manufactura
Modules:
0.1 Bienvenida al curso
1.1.1 Importancia de la manufactura para América Latina y el Caribe, 1.2.1 Manufactura y el mundo actual, 1.2.4 Necesidades en Manufactura
2.1.1 Visión Global de las soluciones digitales en Transformación Digital en manufactura, 2.1.5 Tendencias y mejores prácticas en el sector, 2.2.1 Soluciones digitales en las organizaciones, 2.3.3 La Transformación Digital para una manufactura sostenible
3.1.1 Mínimos requeridos para éxito en la digitalización, 3.2.1 Rutas para la transformación digital, 3.2.5 La estrategia para una Transformación Digital integral, 3.4.1 Niveles de madurez digital, 3.4.5 Cierre del Curso
Course: Fundamentos de sistemas recomendadores
Modules:
Bienvenida
Definición ejemplos de sistemas de recomendación, Tipos de sistemas de recomendación, Recomendación no personalizada
Recomendación como predicción de ratings, Filtrado colaborativo basado en usuarios, Filtrado Colaborativo basado en ítems (IKNN), Recomendación con algoritmo pendiente uno
Recomendación en base a contenidos, Recomendación basada en contenido de texto, Evaluación basada en ranking I: precision, recall, MRR, Evaluación basada en ranking II: MAP, nDCG y AUC
Introducción a los métodos latentes, Factorización Matricial para predecir factores latentes, FunkSVD, Ejemplo práctico usando FunkSVD
Video de cierre
Course: Learn Algorithms: Merge Sort in JavaScript
Modules:
Merge Sort Algorithm Graded Assignment
Course: Supporting Veteran Success in Higher Education
Modules:
Pre-Course Survey, Course Overview, Syllabus
Intro to Military Structure, The Military, A Brief History and Overview, Race and Gender in the Military, An Overview, Why Do People Join the Service?, Military Culture, Why Do Service Members Leave the Military?
Veterans: Definitions, Transitioning to Civilian Life, Communicating and Connecting with Veterans, Veterans and Education
Introduction to Admissions Considerations for Veterans, Recruiting Student Veterans, Examining Admission Policies for Veterans, Partnering Between Two-Year and Four-Year Schools, Service Members & Veterans and 2-Year Schools, Reading the Veteran Application
Mid-Course Survey
Introduction to Financing Veteran Education, An Overview of Veterans Educational Benefits Through the VA, Assisting Veterans in Understanding and Applying for VA Benefits and Other Aid, FAFSA and CSS Profile Assistance, BAH and Housing Costs, Assisting and Advising Veterans on Financial Issues After They/ve Enrolled
Academic Advising and Support, Syncing with the Rhythm of Campus, Peer Resources, Post-Graduation, Career Preparation, and Professional Development
Student Veteran Health and Well-Being, Physical Health, Social Health, Mental Health, Suicidality
Post-Course Survey
Course: Diversity and Inclusion: Developing A Strategy
Modules:
Watch: Welcome and Overview, Watch: Module 1 - Introduction, Watch: Aligning Recruitment with Organisational Strategy, Watch: Leveraging Recruitment and Diversity and Inclusion with Recruitment Processes, Listen: Developing an Organisational Diversity and Inclusion Strategy with Chrissie Tucker - Part 1, Recruitment: The What? The Why? The How? with Saarrah Mathinthiran
Watch: Module 2 - Introduction, Watch:  Diversity and Inclusion and Workforce Planning, Watch: Developing the Diversity and Inclusion Recruitment Strategy, Listen: Developing an Organisational Diversity and Inclusion Strategy with Chrissie Tucker - Part 2
Watch: Module 3 - Introduction, Watch: Organisational Culture and Unconscious Bias <Check Video Title>, Watch: Unconscious Bias and Recruitment, Listen: Unconscious Bias: Now You See It, Now You Don't with Dr Susan Harwood - Part 1, Listen: Unconscious Bias: Now You See It, Now You Don't with Dr Susan Harwood - Part 2, Listen: Unconscious Bias: Now You See It, Now You Don't with Dr Susan Harwood - Part 2
Course: What is Qualitative Research?
Modules:
Get Started With PsycLearn Essentials!, Metacognitive Checkpoints: Pause and Reflect on Your Learning
Course Overview
The Nature of Qualitative Research, Philosophical Foundations: Ontology, Epistemology, and Axiology
Digging Deeper: Researcher Positioning
References
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: Automation in the AWS Cloud
Modules:
Welcome to the Course, The Difference Between On-premises and the Cloud, Thanks to APIs for Making Automation Possible!, AWS CLI Introduction, What Does Automation Actually Mean, Let’s Talk About Scripting, Bash Crash Course, Module 1 Wrap-up
Module 2 Introduction, Introduction to Provisioning and Configuration Management, AWS CloudFormation Introduction, AWS CloudFormation Sample (Part 1): Diagram, AWS CloudFormation Sample (Part 2): Cloud Technologists Discussion, Automation Best Practices, Configuration Management, Industry Tools for Automation, Module 2 Wrap-up
Module 3 Introduction, Amazon EC2 bootstrapping with User Data, Amazon EC2 Instance Metadata, Organizing your AWS Resources, AWS Systems Manager: Part 1, AWS Systems Manager - Part 2, AWS Config - your compliance friend!, Module 3 Wrap-up
Course: Proyecto final - Construyendo una aplicación profesional con Android
Modules:
Bienvenida y presentación del proyecto
¿Qué debo hacer?
¿Qué debo hacer?
¿Qué haré?
¿Qué debo hacer?
Despedida
Course: Advanced Reproducibility in Cancer Informatics
Modules:
About this course, About the authors, Introduction
Defining Reproducibility
Using version control with GitHub
Code review as an author
Code review as a reviewer
Launching Docker
Modifying a Docker image
Automation
Course: PMP Application Process and Practice Exam
Modules:
Introduction to using Bing Copilot for Project Managers, Using Bing Copilot for technical support, Use Bing Copilot to help plan projects, Use Bing Copilot to create document summaries, Program Management Introduction, Apply the RTCO framework for formulating good PM prompt, Using Bing Copilot to determine the best project management approach, Deciding Between Projects with IRR: A Guide for Program Managers Using Bing Copilot
Course: Medical Image Processing
Modules:
Introduction to Medical Image Processing, Importing and Viewing 2D Images, Working with 2D Images
Viewing Medical Volumes, Introduction to Volume Registration, Registering Medical Volumes, Feature-Based Image Registration
Segmenting Grayscale Images, Improving Segmentation with Morphology, Using the Medical Image Labeler App, Labeling Medical Images Using MONAI
Course: The Changing Landscape of Ancient Rome. Archaeology and History of the Palatine Hill
Modules:
Introduction, 1.1 Classical Archaeology: artifacts (objects, architectures, landscapes) and history., 1.2 Talking with objects: from pots to Chronology., 1.3 Talking  with earth, stones and bricks: from layers and walls to History, 1.4 Introduction to ancient Rome., 1° tutorial, 2° tutorial, 3° tutorial
2.1 Before the City: pre-urban and proto-urban epoch., 2.2 Latium from Bronze Age to Iron age., 2.3 Rome from Bronze Age to Iron age., 2.4 Palatine from Bronze Age to Iron age.
3.1 The foundation of Rome: myth and rites., 3.2  The foundation of Rome: archaeology, 3.3 Palatine during the reigns of earlier kings 1., 3.4  Palatine during the reigns of earlier kings 2.
4.1 Rome during the reigns of later kings., 4.2 Palatine during the reigns of later kings: noble residences and cult places., 4.3 From Monarchy to Republic., 4.4 Palatine during late republican period.
5.1 Palatine during late republican period., 5.2 Temples, 5.3 Houses 1, 5.4 Houses 2 (the house of Octavianus).
6.1 From Republic to Empire, 6.2 Palatine after the battle of Actium (year 31st b.c.e.), 6.3 The House of Augustus 1, 6.4 The House of Augustus 2
7.1 Palatine after the death of Augustus (Julio-Claudian dynasty)., 7.2 The great fire of year 64 c.e. and Nero’s Palatine., 7.3 A new palace for the Emperor, 7.4 The slopes of the Palatine
8.1 A larger and larger imperial Palace, 8.2 A late noble residence, 8.3 A new sanctuary for the goddess Vesta, 8.4 Churches on the Palatine
Course: Lymphoedema: Monitoring & Intervention After Breast Cancer
Modules:
Welcome
Readings and Related Articles
Readings and Related Articles
Readings and Related Articles
Readings and Related Articles
Readings and Related Articles
Course: Advanced Digital Transformation (Part 3)
Modules:
Course Introduction, Meet your Instructor, Week's Introduction, The Existential Purpose, Unravelling Existential Purpose: Unravelling Life, The Neuroscientific (Wo)Man, Emotional Foundations Underlying Digital Transformation, Emotions and the Instrumental Purpose of Digital Transformation, Lens: Exploration and Exploitation, Organizational Learning through Exploration and Exploitation, Operational Purpose of Digital Transformation: Exploration, Operational Purpose of Digital Transformation: Exploitation, Week Summary
Week's Introduction, The Driving Force Underlying Organization: Motivation (Part-1), The Driving Force Underlying Organization: Motivation (Part-2), The Neuroscientific Reward, Computations: The Basics, The Problem Catalysing Digital Transformation: Bounded Rationality, Externalized Computations, Applications of Externalized Computations, Computational Freedom: The Latent Force Driving Humans (Others), Week Summary
Week's Introduction, Digital Organization: The Existential Purpose of Digital Transformation, Organization and Individual, Biological vs. Artificial Intelligence, Creation of Artificially Intelligent Ecosystems, AI Ecosystems and Computational Freedom, Smart Homes: AI Ecosystem #1, Autonomous Cars: AI Ecosystems #2, Week Summary
Week's Introduction, Challenges and Opportunities in Creating AI Ecosystems, Managerial Reflection: Creative Destruction, Managerial Reflection: The "Real" Barriers, Managerial  Reflection: Overcoming Zero-sum Tradeoffs, Transforming with a 'Primary' Purpose, Scope of Digital Transformation, Enacting a Cohesive Digital Transformation, Mastering the Purpose: Instrumental, Operational, and Existential, Week Summary, Course Summary
Conceptualize and plan a Digital Transformation with a clear and precise Existential Purpose
Course: Product Management: Foundations & Stakeholder Collaboration
Modules:
Course Introduction, Product Management PC Overview, What is Product Management?, Communication and Collaboration Essentials, Goal Setting, Expert Viewpoints: Collaboration and Goal Setting, The Elevator Pitch, The 5 Dysfunctions of a Team, Expert Viewpoints: The Five Dysfunctions, Key Product Manager Communication and Interpersonal Skills, Expert Viewpoints: Messaging, Facilitation and Brainstorming, Influencing without Authority, Expert Viewpoints: Influencing, Problem Solving and Decision Making
Kotler’s Five Levels of a Product, Expert Viewpoints: Product Development, Market Segmentation, Expert Viewpoints: Product Benefits, The Ansoff Matrix, Business Development, Expert Viewpoints: Business Development, Product Planning and Development Strategy, Porter’s Five Forces Model, Expert Viewpoints: Product Planning and Strategy
Four Types of Innovation and the Innovation Process, Innovation Methodologies, Expert Viewpoints: Product Manager Innovation, Innovation and Ideation Challenges, Analytical and Abstract Thinking Skills, How Do the Roles of the Product Manager and Business Analyst Relate?, Expert Viewpoints: The Business Analyst, General Management Skills and Organizational Skills
Situational Communication, Communication Styles, Expert Viewpoints: Communication Styles, Trust and Your Communication Style, Expert Viewpoints: Communication and Trust, Team Communication and the Tuckman Ladder, Expert Viewpoints: Team Building, Communicating to the Public, Public Relations and Media Planning
Congratulations and Next Steps, Thanks from the Course Team
Course: Fundamentals of Level Design with Unreal Engine
Modules:
Course Introduction, The goals of level design, Level design and game design, Types of levels, What does level design do?, Narratives, Drama, Challenge, Beauty, Truth/epiphany, Player Flow, Lesson introduction, The player engagement loop, Beats and Intensity, Sight, Sound, Touch, Understanding and affordances, Cognition, Narrative, Mechanics, How to look at levels, Charting Tools, Measuring Levels, Metanarrative
Lesson introduction, Course project introduction, Level intentions, Level shaping, Basic pathing, Changing the route, Adding interest, Enclosures and cover, Gating, Critical path, Design for multiplayer, Biomes, Vistas, Diagram Summary, Establishing scale and legend, Massing Part 1, Massing Part 2, Massing Next Steps, Wayfinding, Module conclusion
Documenting level designs, The level design document, Collaboration, Types of level design diagrams, Game development testing, Types of testing, Milestones and testing, Qualities of tests, Fault testing, Data collection and ethics, Module conclusion
Course Project Part 3: Building your level in Unreal, What is greyboxing?, Why use Unreal Engine, Lesson introduction, Ready Materials, Setting scale, Landscape, Primitives, Modelling Mode, Geometry Tools: Exporting, External Assets, Materials for level design, Lighting for level design, Playtesting Levels, Reflecting and Iteration, Unreal Editor for Fortnite, Module and course conclusion
Course: PRINCÍPIOS GERAIS DA TÉCNICA DO VIOLINO E DA VIOLA DE ARCO
Modules:
Aula 1 - Introdução ao curso, Aula 2 - Como posicionar o instrumento, Aula 3 - Como posicionar a mão esquerda, Como segurar o arco
Conheça a escola de arco de Carl Flesch, Conheça a escola de arco de Ivan Galamian, Detaché e principais fatores da produção sonora, Como executar o martelé, Como entender e praticar o spiccato, Como entender e praticar o sautillé
Estudando os fundamentos da mudança de posição, Entender o conceito de dedo-guia em mudanças de posição, Quando e como utilizar preparação de cotovelo e polegar, Como aplicar a preparação de cotovelo e polegar no estudo de escalas, Como posicionar o cotovelo ao tocar notas duplas
Vibrato 1: Tipos e preparação, Etapas para desenvolvimento do vibrato, Como organizar o estudo diário do instrumento
Course: Excel Skills for Business: Advanced
Modules:
Week 1 Introduction, Week 1 Discussion, Practice Video: Spreadsheet Design Principles, Practice Video: Calculations, Practice Video: Formatting, Practice Video: Documentation, Practice Video: Interface and Navigation
Week 2 Introduction, Week 2 Discussion, Practice Video: Tables and Structured Referencing, Practice Video: Using Functions to Sort Data, Practice Video: Introduction to Array Formulas, Practice Video: Working with an Array Function (TRANSPOSE), Practice Video: Solving Problems with Array Formulas
Week 3 Introduction, Week 3 Discussion, Practice Video: Replace blanks with repeating values, Practice Video: Fix Dates (DATE, MONTH, YEAR, DAY, TEXT), Practice Video: Remove Unwanted Spaces (TRIM, CLEAN), Practice Video: Diagnostic Tools (ISNUMBER, LEN, CODE), Practice Video: Remove Unwanted Characters (SUBSTITUTE, CHAR, VALUE)
Week 4 Introduction, Week 4 Discussion, Practice Video: Working with Dates (EOMONTH, EDATE, WORKDAY.INTL), Practice Video: Financial Functions (FV, PV, PMT), Practice Video: Loan Schedule (PMT, EDATE), Practice Video: Net Present Value and Internal Rate of Return (NPV, IRR), Practice Video: Depreciation Functions (SLN, SYD, DDB)
Week 5 Introduction, Week 5 Discussion, Practice Video: INDIRECT, Practice Video: ADDRESS, Practice Video: Introduction to OFFSET, Practice Video: Solving Problems with OFFSET
Week 6 Introduction, Week 6 Discussion, Practice Video: Dashboard Design, Practice Video: Prepare Data, Practice Video: Construct Dashboard, Practice Video: Creative Charting, Practice Video: Interactive Dashboard
Final Assessment
Course: إدارة شركات المستقبل
Modules:
ابدأ هنا, المنهج الدراسي, التقييم
1.1 نظرة عامة على الدورة التدريبية, 1.2 الإدارة مقابل القيادة, 1.3.1 كيف يتغير عالم الأعمال (الجزء الأول), 1.3.2 كيف يتغير عالم الأعمال (الجزء الثاني), 1.4.1 فشل الإدارة التقليدية (الجزء الأول), 1.4.2 فشل الإدارة التقليدية (الجزء الثاني), 1.5.1 الحاجة إلى الابتكار الإداري (الجزء الأول), 1.5.2 الحاجة إلى الابتكار الإداري (الجزء الثاني), 1.6.1 ما الذي يعنيه هذا بالنسبة لي؟ (الجزء الأول), 1.6.2 ما الذي يعنيه هذا بالنسبة لي؟ (الجزء الثاني), ملخص الأسبوع الأول
2.1 تحديد نموذج الإدارة الخاص بك, 2.2.1 مبادئ التنسيق (الجزء الأول), 2.2.2 مبادئ التنسيق (الجزء الثاني), ستيفن ويبر، جامعة بيركلي: يُسهم وضوح تصرفاتنا تجاه الآخرين في تحقيق تنسيق أفضل ورفاهية اجتماعية شاملة, 2.2.3 مبادئ التنسيق (الجزء الثالث), 2.3 التحوُّل من البيروقراطية إلى النبوغ, 2.4.1 مبادئ اتخاذ القرارات (الجزء الأول), 2.4.2 مبادئ اتخاذ القرارات (الجزء الثاني), غاري هامل، كلية الأعمال بلندن: طريقة حشد المصادر الخارجية لدعم الشركات الكبرى بأفكار جديدة, 2.4.3 مبادئ اتخاذ القرارات (الجزء الثالث), 2.5 التحوُّل من التسلسل الهرمي إلى الأفكار الجماعية, ملخص الأسبوع الثاني
3.1.1 مبادئ التحفيز - الإدارة في ضوئها (الجزء الأول), 3.1.2 مبادئ التحفيز - الإدارة في ضوئها (الجزء الثاني), 3.1.3 مبادئ التحفيز - الإدارة في ضوئها (الجزء الثالث), أندرو ماكافي، معهد ماساتشوستس للتكنولوجيا: كيف نتعمق في فهم "الجزء العبقري" لدى كل فرد في المؤسسة؟, 3.2.1 التحوُّل من التحفيز الخارجي إلى التحفيز الداخلي (الجزء الأول), 3.2.2 التحوُّل من التحفيز الخارجي إلى التحفيز الداخلي (الجزء الثاني), 3.3.1 مبادئ وضع الأهداف (الجزء الأول), جيفري بيفر، جامعة ستانفورد: مشكلة التدابير التقليدية في المؤسسات الكبرى, 3.3.2 مبادئ وضع الأهداف (الجزء الثاني), 3.4 التحوُّل من التتابُع التقليدي إلى الإبداع, 3.5.1 وضع الأبعاد الأربعة مع بعضها (الجزء الأول), 3.5.2 وضع الأبعاد الأربعة مع بعضها (الجزء الثاني), ملخص الأسبوع الثالث
4.1.1 تشخيص نماذجك الحالية والمستقبلية (الجزء الأول), 4.1.2 تشخيص نماذجك الحالية والمستقبلية (الجزء الثاني), 4.2.1 كيف يمكنك تغيير نموذج الإدارة الخاص بك؟ (الجزء الأول), 4.2.2 كيف يمكنك تغيير نموذج الإدارة الخاص بك؟ (الجزء الثاني), 4.2.3 كيف يمكنك تغيير نموذج الإدارة الخاص بك؟ (الجزء الثالث), 4.2.4 كيف يمكنك تغيير نموذج الإدارة الخاص بك؟ (الجزء الرابع), 4.2.5 كيف يمكنك تغيير نموذج الإدارة الخاص بك؟ (الجزء الخامس), 4.3 منهجية تجربة طُرق العمل الجديدة, 4.4 نجاح وسقوط الشركات "الناشزة" ذات النماذج غير المعتادة, 4.5 التعلُّم من الشركات الناشزة, ملخص الأسبوع الرابع
5.1.1 من الشركة إلى الفرد (الجزء الأول), 5.1.2 من الشركة إلى الفرد (الجزء الثاني), 5.2 وجهات نظر الموظفين, 5.3 فهم التحيُّزات, 5.4 كيف أغير طريقتي في العمل؟, 5.5.1 كيف ستبدو الشركات في المستقبل؟ (الجزء الأول), 5.5.2 كيف ستبدو الشركات في المستقبل؟ (الجزء الثاني), 5.6.1 تغيير طبيعة العمل (الجزء الأول), 5.6.2 تغيير طبيعة العمل (الجزء الثاني), 5.7 الأفكار الختامية, ملخص الأسبوع الخامس
Course: Responsible AI for Developers: Interpretability & Transparency - 繁體中文
Modules:
課程簡介
可解釋性和透明度總覽, 可解釋性技術總覽, 特徵式解釋：各模型通用, 特徵式解釋：適用特定模型, 概念式和範例式解釋, 可解釋性工具, 資料和模型透明度, 研究室：Vertex Explainable AI, Coursera：開始使用 Google Cloud Platform 和 Qwiklabs
課程摘要
單元 0：課程簡介, 單元 1：AI 可解釋性和透明度, 單元 2：課程摘要
Course: Introduction to Large Language Models - Français
Modules:
Présentation des grands modèles de langage
Course: AI For Everyone （すべての人のためのAIリテラシー講座）
Modules:
このコースのはじめに, DXとは？, DXにおけるAI／DLの重要性, このコースを学ぶ皆さんへ, 第１週　イントロダクション, 機械学習, データとは？, AI にまつわる専門用語, AI企業にするには？, 機械学習でできること、できないこと, 機械学習でできること、できないこと - 実例, 非技術者でも分かるディープラーニング概要（パート1）, 非技術者でも分かるディープラーニング概要（パート2）
第２週　イントロダクション, 機械学習プロジェクトのワークフロー, データサイエンスプロジェクトのワークフロー, データの扱い方について（あらゆる職種で学ぶ必要性）, AIプロジェクトの選び方（パート1）, AIプロジェクトの選び方（パート2）, AIチームとの働き方, AIチームで活用できるツールの概要
第３週　イントロダクション, ケーススタディ：スマートスピーカー, ケーススタディ：自動運転車, AIチームの典型的な役割分担, AIトランスフォーメーション・プレイブック（パート1）, AIトランスフォーメーション・プレイブック（パート2）, AI導入時の注意点／避けるべき落とし穴, AI導入の最初の一歩, 各種AI応用分野について, その他主なAI技術の紹介
第４週　イントロダクション, AIの現実, 差別／バイアス（偏見）, AIに対する敵対的攻撃, AIの誤った活用, AI と発展途上国, AI と仕事, おわりに
第５週　イントロダクション, 日本におけるAI／DL活用事例①, 日本におけるAI／DL活用事例②, 日本における人材育成〜JDLAの取り組み〜, おわりに
Course: SAS® Programming for Distributed Computing in SAS® Viya®
Modules:
Welcome to the Distributed Programming in SAS Viya for Data Analysts Specialization
Welcome to the Course, Practicing in This Course
Module Overview, Introduction to the SAS Viya Platform, SAS Viya Platform Overview, SAS Viya Programming Interfaces, Demo: Exploring the SAS Viya Platform, SAS Viya Servers and Processing Environments, Demo: Comparing SAS Compute Server and CAS Server Processing Speeds
Module Overview, SAS Viya Compute Server Overview, Demo: Running SAS and Python Code in SAS Studio, Demo: Programming Interface Features, Running SAS 9 Code on the Compute Server in SAS Viya, Compute Server Considerations
Module Overview, CAS Server on SAS Viya, Processing Data on the CAS Server, Compute Server or CAS?, Processing Code in CAS, Demo: Connecting to a CAS Server Using a Snippet, SAS Libraries, Accessing Data through Caslibs, Caslib Attributes, Viewing Caslib Attributes, Assigning Library References to a Caslib, Demo: Accessing Caslibs, CASUTIL Procedure, Manually Adding Caslibs, Demo: Defining a New Caslib, Accessing Data Sources with Compute or CAS
Module Overview, Loading Files into In-Memory Tables, Loading Server-Side Data Source Files, Demo: Loading Server-Side Files into CAS, Loading Client-Side Data Source Files, Client-Side Load - PROC CASUTIL, Client-Side Load - DATA Step and PROC IMPORT, Demo: Loading Client-Side SAS Data into CAS, Client-Side and Server-Side Loading Considerations, In-Memory Table Scope, Demo: Promoting CAS Tables, Table Scope Considerations, Accessing Database Tables, Ending a CAS Session, Saving In-Memory Tables, Demo: Saving CAS Tables as Data Source Files in a Caslib, Dropping In-Memory Tables
Module Overview, DATA Step Processing in CAS, Demo: Modifying a DATA Step to Run in CAS, Single- or Multi-Threaded Processing, Demo: Summarizing in CAS with the Sum Statement, DATA Step with By-Group Processing, Demo: By-Group Processing in CAS, DATA Step Restrictions in CAS, Demo: Modifying DATA Step Code to Run in CAS – Part 2
Module Overview, SAS Procedures in SAS Viya, SAS Foundation Procedures, SAS Foundation Procedures: Workarounds for CAS, Demo: Modifying Foundation SAS Procedures to Run in CAS, CAS-Enabled Base SAS Procedures, PROC MDSUMMARY, Demo: Producing Descriptive Statistics in CAS Using PROC MDSUMMARY, Running Machine Learning Procedures in SAS Viya, Demo: Comparing Machine Learning Procedures in SAS Viya
Module Overview, Comparing the  SQL and FEDSQL Procedures, Demo: Executing SQL Queries in CAS Using PROC FEDSQL, Additional Differences Between PROC SQL and PROC FEDSQL, PROC FEDSQL in CAS, Altering In-Memory Tables, Demo: Creating an In-Memory Table Using PROC FEDSQL, Column Data Types, CHAR Data Columns, VARCHAR Data Columns, Numeric Data Types, Mapping Data Types
Module Overview, What is CASL?, CAS Action Sets, Why Learn CASL?, Demo: Summarizing Data and Benchmarking CASL, Loading Data to Memory, Demo: Using a CAS Action to Load a Table into Memory, Exploring Data, Preparing and Analyzing Data
Course: Python for Command-and-control, Exfiltration and Impact
Modules:
MITRE ATT&CK: Command and Control, Introduction to Encrypted Channels, Encrypted channel, Introduction to Protocol Tunneling, Protocol tunneling
MITRE ATT&CK: Exfiltration, Introduction to Exfiltration Over Alternative Protocols, Alternative protocol, Introduction to Non-Application Layer Protocol, Non-application layer protocol
MITRE ATT&CK: Impact, Introduction to Data Encrypted for Impact, Data encryption, Introduction to Account Access Removal, Account access removal
Course: Formwork Systems
Modules:
About the Specialization, About the Course, Introduction to Formwork, Why form work is an Engineer's Job?, Formwork  Example 1: Casting of a Slab, Formwork  Example 2: Casting of an RCC wall, What if there is no formwork?, Classification of formwork, Benefits of good formwork, Objectives of formwork, Areas of competitiveness in Formwork, Selection of formwork, How Formwork Works?, Selection of Materials, Formwork Material: Timber, Formwork Material: Shuttering Plywood - Part 1, Formwork Material: Shuttering Plywood - Part 2, Formwork Material: Timber H-Beam, Formwork Material: Steel, Formwork Material: Aluminium, Formwork Material: Plastic, Accessories and Consumables - Part 1, Accessories and Consumables - Part 2, Accessories: Nails, Shuttering Oil, Shear Connector, Application of Tools
Various types of formwork:-overview, Types of formwork, Introduction to Formwork for Foundation, Introduction Formwork for Wall, Introduction Formwork for Column, Introduction to Conventional slab & Beam, Introduction to Conventional Dwgs, Comparision of  conventional and System formwork
Vertical Application of Conventional Foundation Formwork, Formwork Foundation System - Components, Formwork Foundation System - Assembly, Formwork Foundation System - Deshuttering, Introduction to Wall/Column formwork - Conventional, System wall Formwork - Components, System wall Formwork - Assembly - Part 1, System wall Formwork - Assembly - Part 2, System wall Formwork - Deshuttering, System Column Formwork - Components, System Column Formwork - Assembly, System Column Formwork - Deshuttering, Introduction to Modular Formwork, System Formwork - Introduction to Flex System, Flex System-slab & Beam - Components, Flex System- slab &  Beam - Assembly, Flex System-slab & Beam  - Deshuttering, Flex System - Drawings, Introduction to Heavy Duty Tower System, Heavy Duty Tower  - Components, Heavy Duty Tower  - Assembly, Heavy Duty Tower  - Deshuttering, Application and Features of Heavy Duty Tower System, Assembling and Safety of Work, Formwork for Stairs, Load Bearing Tower - (Trestle/Frame)
Introduction to Special formwork, Introduction to Tunnel formwork, Types of Tunnel Construction methods, Types of Equipment & Formwork - Part 1, Types of Equipment & Formwork - Part 2, Types of Equipment & Formwork - Part 3, 3D design Details of the parts (Instructor Led), Introduction to High rise construction &  formwork, Construction Cycle Time (Instructor Led), Introduction to Various climbing system - Part I, Introduction to Various climbing system - Part II, Table lifting system (Instructor Led), Project Application-1-PART- I, Project Application-1-PART- II, Project Application-1-PART-III
Course: Proyecto Final de Fundamentos de UX y requisitos de software
Modules:
Descripción general del proyecto, Preguntas frecuentes, Instrucciones para las actividades de esta semana
Instrucciones para las actividades de la semana
Instrucciones para las actividades de la semana
Instrucciones para las actividades de la semana, Matriz de valoración para la autoevaluación y la evaluación entre compañeros
Course: TECH MeD: Transdisciplinary Education for Critical Hacks of Medical Devices
Modules:
Michael Bachmann Intro, Adam Shniderman Intro, Lauren Solberg Intro, Jay Radcliffe 1, Jay Radcliffe 2, Andrew Woods 1, Andrew Woods 2, Julian Goldman, Patricia Zettler 1, Patricia Zettler 2, Scott Erven, Goldman, Zettler, Radcliffe 1, Radcliffe 2, Goldman, Radcliffe 1, Radcliffe 2, Erven, Woods
Radcliffe 1, Radcliffe 2, Woods, Woods 2, Woods 3, Goldman 1, Goldman 2, Goldman 3, Radcliffe 1, Radcliffe 2, Radcliffe 3, Radcliffe 4, Erven, Radcliffe 1, Radcliffe 2, Goldman 1
Radcliffe 1, Radcliffe 2, Radcliffe 3, Erven 1, Erven 2, Erven 3, Erven 4, Erven 5, Erven 6, Radcliffe 1, Erven 1, Erven 2, Erven 3, Erven 4, Erven 5, Woods 1, Woods 2, Erven 1, Erven 2
Woods 1, Woods 2, Goldman 1, Goldman 2, Zettler 1, Woods 1, Woods 2, Woods 3, Woods 4, Radcliffe 1, Radcliffe 2, Radcliffe 3, Woods 1, Woods 2, Goldman 1, Zettler 1, Zettler 2, Zettler 3, Zettler 4, Zettler 5, Zettler 6, Zettler 7, Zettler 8, Zettler 9, Zettler 10, Zettler 11, Zettler 12, Goldman 1, Goldman 2, Zettler 1, Erven 1, Erven 2, Erven 3, Erven 4, Erven 5, Radcliffe 1`, Zettler 1, Zettler 2, Erven 1
Radcliffe 1, Goldman 1, Goldman 2, Goldman 3, Woods 1, Woods 2, Woods 3, Woods 4, Woods 5, Zettler 1, Zettler 2, Zettler 3, Erven 1, Erven 2, Zettler 1, Zettler 2, Erven 1, Woods 1, Radcliffe 1, Radcliffe 2, Radcliffe 3, Radcliffe 4, Zettler 1, Radcliffe 1, Radcliffe 2, Erven 1, Erven 2, Erven 3, Woods 1
Course: Natural Language Processing with Sequence Models
Modules:
Course 3 Introduction, Lesson Introduction, Neural Networks for Sentiment Analysis, Dense Layers and ReLU, Embedding and Mean Layers, Lesson Introduction, Traditional Language models, Recurrent Neural Networks, Applications of RNNs, Math in Simple RNNs, Cost Function for RNNs, Implementation Note, Gated Recurrent Units, Deep and Bi-directional RNNs, Week Conclusion
Week Introduction, RNNs and Vanishing Gradients, Introduction to LSTMs, LSTM Architecture, Introduction to Named Entity Recognition, Training NERs: Data Processing, Computing Accuracy, Week Conclusion
Week Introduction, Siamese Networks, Architecture, Cost Function, Triplets, Computing The Cost I, Computing The Cost II, One Shot Learning, Training / Testing, Week Conclusion
Course: Sustainable Food Production Through Livestock Health Management
Modules:
Welcome to Sustainable Food Production Through Livestock Health Management!
Introduction to Week 1, 1.1. The Challenges Before Us: Feeding 9 Billion People, 1.2. People: Our Role in Managing Animal Well-Being, 1.3. Farming 101: The Basics of Livestock Production, 1.4. Understanding Growth, 1.5. Production Efficiency through the Ages, 1.6. The Economics of Production
Introduction to Week 2, 2.1. The "Inside" Science of Nutrition, 2.2. The Particles and Partitioning of Dietary Nutrients, 2.3. Failure of Nutrient Utilization: Characterization and Treatment, 2.4. The Two-Way Street of Organ System Health and Nutrition, 2.5. Nutrition and Disease: From Tip to Tail, 2.6. The Toll of Infectious Disease on Growth and Production
Introduction to Week 3, 3.1. Microbes: Friend or Foe?, 3.2. Promoting Friendly Farm Infections, 3.3. Microbial Colonization in the Newborn World, 3.4. The Farm: It’s a Bug’s World, 3.5. In Defense of Normality, 3.6. The Energetic Cost of Defense, 3.7. When the Defense Cannot Defend, 3.8. The War Within, 3.9. Defending the Airways, 3.10. Defending the Next Generation
Introduction to Week 4, 4.1. Knowing the Enemy: Bacteria, Viruses, and Parasites, 4.2. Pathogen Armaments, 4.3. Watching the War: Anatomy of a Disease Outbreak, 4.4. Changing the Course of Infections, 4.5. Strengthening the Defenses: Vaccines
Introduction to Week 5, 5.1. Building Defense by Building a Fence, 5.2. Maximizing Defense by Customizing the Fence, 5.3. Stress Biology: Caring for the Inside First, 5.4. Behavior: The Window to Stress, 5.5. Predators and Prey: The Origins of Stress, 5.6. Thoughtful Management: The Foundation of Well-Being, 5.7. Changing Stress: Movement and Thermal
Introduction to Week 6, 6.1. Food Safety: The Invisible Net and Whole Chain Approach, 6.2. CSI: Foodborne Infections, 6.3. Ebola: Fruit, Bats, and People, 6.4. How Secure is Your Next Lunch?, 6.5. Foreign Infectious Disease: The Enemy Without and the Control Within, 6.6. That's All, Folks!, Sustainable Food Production Outtakes
Course: Data Management for Clinical Research
Modules:
How the Course Works, Course Introduction, Defining the Space, Research Data Planning 1, Research Data Planning 2, Approaches to Data Collection
Standardization of Study Processes, Validated Instruments, Data Standards: What Can Standards Do for You?, Data Standards: Basic Concepts and Overview, IRB, HIPAA, and FISMA, GCP and 21 CFR Part 11, Introduction to Electronic Data Capture (EDC), EDC Concepts: Data Exports, Logging, User Rights, Project Creation, EDC Concepts: Data Imports, Scheduling, Reports, Internationalization
Overview of the Study, Study Procedures, Baseline Data and Demographics, Visit Data, Review of Variables and Forms, Logging in to REDCap, Walkthrough: Creating a Project and Adding the First Variables, Walkthrough: Adding Fields to the Baseline Form, Walkthrough: Adding File Fields and Formatting
Walkthrough: Creating Visit Forms, Walkthrough: Copying Variables, Renaming Forms, Walkthrough: Using the Shared Library, Longitudinal Events, Optional Modules, and User Rights, Walkthrough: Testing the REDCap Project, Example Study Wrap-Up, Mid Study Activities 1, Mid Study Activities 2, Data Quality, Data Quality Monitoring
Wrapping Up Your Study, Sharing Your Work, De-identifying Data, De-identifying Dates, Common Information Systems Used in Health Care, Neuroimaging Data Management, mHealth in Developing Countries, Data Management for Multi-Center or Network Studies, Resource-Limited Settings and Global Health, Challenges of Collecting Data in Resource-Constrained Settings, Data Privacy in Global Research, International Data Sharing
Benefits, Scope, and Validated Instruments, Survey Design, Survey Procedures and Implementation, Survey Testing, Administration, and Analysis, Survey Overview and REDCap Setup, Survey Testing and Distribution, Thank you for participating!
Course: Data Analysis and Interpretation Capstone
Modules:
Introduction to the Capstone Course, Overview of Each Module and Assignments, Your Capstone Project, Writing Your Report: Title and Introduction, Writing Your Report: What to Avoid
Writing Your Report: Methods
Writing Your Report: Results
Writing Your Report: Conclusions and Limitations
Course: ART of the MOOC: Activismo y Movimientos Sociales
Modules:
Introdución al Arte del MOOC
La organización de acciones sostenidas y esporádicas, De rechazo y boicot a humor y sátira, Subversión de símbolos y estructuras del poder, Resumen con apuntes del proyecto y evaluaciones, Beka Economopoulos, Gulf Labor, Rebecca Gomperts, Leonidas Martin, Naeem Mohaiemen, Joshua Wong
Distribuir un chiste, Una llamada a acción
Términos históricos del arte y el arte de la vida cotidiana, Instituciones culturales y exposiciones internacionales, Resumen con apuntes del proyecto y evaluaciones, Chido Govera, Hans Haacke, Future Farmers, Shannon Jackson, Jolene Rickard, Abigail Satinsky
Plantar, cultivar, cocinar, comer, Intervención en una institución cultural
Saberes del cuerpo, Resumen con apuntes del proyecto y evaluaciones, Mujeres Creando, Regina José Galindo, Mariam Ghani, Sharon Hayes, Chemi Rosado-Seijo
Acción diaria, Enmascarar o cubrir
Tania Brugera, Claire Doherty, Sean Dockray, Tom Finkelpearl, Fran Ilich, Suzanne Lacy, Rick Lowe, Enrique Peñalosa, Cesare Pietroiusti, Ruangrupa, Greg Sholette, Caroline Woolard
Course: Engajamento, Conversão e o Consumidor
Modules:
Fundamentos da Regressão Linear, Normalidade dos Resíduos e Multicolinearidade, Heterocedasticidade e Autocorrelação dos Resíduos, Interpretação das Estatísticas, Regressão Linear Simples - Phyton, Regressão Linear Múltipla - Phyton
Fundamentos da Regressão Logística, Chance e Probabilidade de Ocorrência de um Evento, Estimação do Modelo e Nível de Significância dos Parâmetros, Testes e Análises, Regressão Logística Binária - Python, Regressão Logística Multinomial - Python
Introdução à Árvores de Decisão, Python: Carregando e Transformando Dados, Python: Breve Análise Exploratória, Codificação das Variáveis, Modelagem da Árvore de Decisão, Interpretação da Árvore de Decisão
Introdução: Churn, Introdução a Redes Neurais Artificiais, Python: Padronização das Variáveis Contínuas, Python: Padronização das Variáveis Contínuas  - Parte 2, Python: Criação das Variáveis Dummy, Python: Trabalhando a Modelagem, Python: Trabalhando a Modelagem (continuação), Python: Passando pelas Métricas de Qualidade
Course: The Skin, Bones, and Muscles
Modules:
Introduction and Objectives, Anatomy and Physiology of the Skin, Common Skill Pathology, Burns, Skin Cancer
Introduction and Objectives, Anatomy and Physiology of Bones, Axial Skeleton, Appendicular Skeleton, Pathology of Joints, Pathology of Bones
Introduction and Objectives, Anatomy and Physiology of Muscles, Metabolism of Muscles, Muscles and Movement, Major Skeletal Muscles
Course: App Deployment, Debugging, and Performance - 日本語版
Modules:
コース 3 の概要
Cloud Build、Container Registry、Terraform を使用してアプリケーションをデプロイする, デプロイにコンテナを利用する理由, Cloud Build と Terraform を使用してパイプラインを構築する, ラボの概要, Coursera: Google Cloud Platform と Qwiklabs を使用する, まとめ
アプリケーションのコンピューティング オプション, Compute Engine, Google Kubernetes Engine, Cloud Run, Cloud Functions, 比較, まとめ
Google Cloud のオペレーション スイート - マルチクラウド サービス, アプリケーションのデバッグ, ロギング, パフォーマンスのモニタリングと調整, パフォーマンスに関する問題の特定とトラブルシューティング, ラボの概要, まとめ
コースのまとめ
Course: Supply Chain of Agriculture
Modules:
Course Overview, Meet Your Instructor | Dr. Gary D. Schnitkey, Meet Your Instructor | Paul Stoddard, Meet Your Instructor | Ailie Elmore, Meet Your Instructor | Dr. Joana Colussi, Introduction to Supply & Use of Agricultural Products, Panel Discussion: Trends and Production of Grains & Oil Seeds, Fruits and Vegetables, Pasture Land, Panel Discussion: Pasture Land, Agricultural Land Use Around the World, What is Livestock Production?, Panel Discussion: Livestock, Module 1 Key Takeaways
Introduction, What is an Agricultural Commodity?, Corn & Soybeans, Wheat, Rice, & Other Starches, Fruit and Vegetable Production, Panel Discussion: Trends in the Consumption and Production of Commodities, Farm Production Cycle in South America, Panel Discussion: Agricultural Supply Chain (Commodities), Module 2 Key Takeaways
Introduction, The Green Revolution, Precision Agriculture & Digital Agriculture, Panel Discussion: Labor vs. Machinery, Technological Change in Machinery, Grain Logistics in Brazil, U.S. Agricultural Sector Size & Capital Structure, Cochrane's Treadmill Theory, Module 3 Key Takeaways
Module 4 Introduction, Panel Discussion: Consolidation in the Industry, Soil Productivity, Panel Discussion | Land Productivity, Food Insecurity Issues, Environmental Concerns in Agriculture, Environmental Concerns from the Perspective of the Consumer, Animal Agriculture & Environmental Concerns, Module 4 Key Takeaways, Course Wrap-up, Global Agriculture and Supply Chains | Graduate Certificate Course
Course: Planning, HUDs, and Spawners in GameMaker
Modules:
Course Introduction, Navigating a Coursera Course, Meet the Instructor (optional), Lesson Introduction, Planning Interval, Macros, Random Planning
Lesson Introduction, Instructions, Wait a Second, Visual HUD, Code HUD
Lesson Introduction, The Final Countdown, Visual Spawners, Code Spawners
Lesson Introduction, Menus, Pause Menus, Finishing Up
Course: Statistics for International Business
Modules:
Welcome to Statistics for International Business, Introduction - Using graphs to describe data, 1. Decision Making in an Uncertain Environment, 2. Population and Sample, 3. Parameters and Statistics, 4. Descriptive and Inferential Statistics, 5. Graphs to Describe Numerical Values, 6. Shape of a Distribution, Summary
Introduction- Using Measures to Describe Data, 1. Descriptive Statistics- Using Measures to Describe Data, 2. Measures of Central Tendency and Location, 3. Mean, Median, and Mode- Which is Best?, 4. Shape of a Distribution, 5. Measures of Variability, 5.1 Measures of Variability: Examples, 6. Weighted Mean, 7. Measures of Relationships Between Variables, Summary
Probability and Probability Distributions - An Introduction, 1. Introduction, 2. Random Experiment, 3. Events, 4: Probability, 4.1: The Definition of Probability, 4.2: Probability Rules, 4.3: The Addition Rule of Probabilities, 4.4: Conditional Probability, 4.5: The Multiplication Rule of Probabilities, 5: Random Variables, 5.1: The Probability Distribution Function, 6: Properties of Discrete Random Variables, 6.1: The Variance of a Discrete Random Variable, 7. Continuous Random Variables, 8. The Probability Density Function, 9. The Expectations for Continuous Random Variables, Probability and Probability Distributions - Summary
Statistical Estimation - An Introduction, 1. Statistical Estimation, 2. Estimator and Estimate, 2.1. Point Estimator and Point Estimate, 2.2. Unbiased, 2.3. Efficiency, 3. Confidence Interval Estimation, 3.1 Confidence Intervals, Part 1, 3.1  Confidence Intervals, Part 2, 4. Testing Hypothesis, 4.1. Formulation of the Null Hypothesis and the Alternative Hypothesis, 4.2. Test Statistic, 4.2.1. The Decision Rule, 4.2.2. Types of Errors, 4.2.3. Performing the Test and the Decision Rule, 4.2.3.1 Hypothesis Testing: Examples, 5. Regression Model, Statistical Estimation - Summary, 1. Further on the Linear Regression Model, 2. Deriving the OLS b, 3.The Statistical Properties of the OLS b, 4. Gauss-Marcov Theorem Proof
Course: Decentralized Finance (DeFi) Essentials & Foundations
Modules:
What is DeFi?, Decentralized Identity, Crypto Wallet, Transacting on Blockchain
Bitcoin Cryptocurrency, Blockchain Innovation, Ethereum Blockchain & Smart Contracts, Layer 2
Decentralized Applications, Web 3.0, Centralized Crypto Exchanges, Web3 API
Coins, Tokens, Ethereum Token Standards, ERC-20 Token Deployment
Course: Differential Equations Part I Basic Theory
Modules:
1-1 What is a Differentiable Equation?, 1-2 Order and Normal Form, 1-3 Linear and Nonlinear Equations, 1-4 Solution, 1-5 Implicit Solution, 1-6 Types of Solutions, 1-7 Initial Value Problem, 1-8 Picard’s Theorem I, 1-9 Picard’s Theorem II
2-1 Separable Equations, 2-2 Separable Equations - Ex’s 1 & 2, 2-3 Separable Equations - Ex’s 3 & 4, 2-4 Integrating Factor, 2-5 Does IVP Have a Unique Solution?, 2-6 Exact Equations I, 2-7 Exact Equations II, 2-8 Exact Equations – Ex. 1, 2-9 Exact Equations – Ex. 2
3-1 Integrating Factor I, 3-2 Integrating Factor II, 3.3 Integrating Factor III, 3-4 Substitutions, Ex 1, 3-5 Homogeneous Equations, 3-6 Substitutions Ex's 2 & 3, 3-7 Bernoulli Equation, 3-8 Equations with Linear Coefficients, 3-9 Equations with Linear Coefficients - Ex. 5, 3-10 Ricatti's Equation - Ex. 6, 3-11 Clairaut's Equation, 3-12 Clairaut's Equation - Ex. 7
4-1 Radioactive Decay, 4-2 Population Dynamics I, 4-3 Population Dynamics II, 4-4 Population Dynamics III, 4-5 Population Dynamics IV
5-1 Linear differential equations, 5-2 Superposition Principle, 5-3 Unique Existence of Solution, 5-4 Linear independence, 5-5 Wronskian test
6-1 Fundamental set of solutions, 6-2 General solutions, 6-3 Nonhomogeneous equations I, 6-4 Nonhomogeneous equations II, 6-5 Reduction of order I, 6-6 Reduction of order II, 6-7 Homogeneous linear equations with constant coefficients, 6-8 Homogeneous linear equations – Example, 6-9 Higher order equations
7-1 Differential polynomials – Ex. 1, 7-2 Annihilator – Ex. 2, 7-3 Method of undetermined coefficients I, 7-4 Method of undetermined coefficients II – Ex. 3, 7-5 Method of undetermined coefficients - Ex. 4
8-1  Variation of parameters I, 8-2 Variation of parameters II, 8-3 Variation of parameters III – Ex. 1, 8-4 Variation of parameters IV – Ex. 2
9-1 Spring-mass system, 9-2 Free undamped motion – Ex. 1, 9-3 Free & Forced damped motion, 9-4 Spring-mass system – Ex’s 2 & 3, 9-5 Pendulum
Course: Getting Started with Amazon Comprehend
Modules:
Getting Started with Amazon Comprehend
Course: Sales Operations: Final Project
Modules:
Sales Manager's Jobs, What Does a Sales Manager Do?, Life of a Sales Manager, Skills You Need, Emerging Trends and Challenges, Q&A Week 3
Overview of Recruitment Process, Job Analysis, Duties of a Salesperson, Job Qualifications, Recruitment Funnel and Recruitment Sources, Interviewing, Employment Tests, Final Selection, Keys to Sales Training, Sales Training Development Process - Part 1, Sales Training Development Process - Part 2, Sales Training Content, Importance of Sales Training, Training Methods, Emerging Training Methods
Developing a Sales Territory Plan, Factors in Territory Management, Q&A on Territories, Goals of a Sales Compensation Plan, Indirect Monetary Compensation, Q&A on Compensation, Sales Force Expenses, Goals of  Sales Expense Plan, Q&A on Sales Expenses
Sales Evaluation, Elements of Sales Performance Evaluation, Sales Expense Analysis, Q&A on Sales Performance Evaluation, Challenges in Sales Evaluations, Contemporary Approach to Sales Force Evaluations