dipopotamus/custom_instruct_coursera_course_module_list huggingface dataset:
Course: Criar interfaces do usuário (IU) dinâmicas para sites
Modules:
Introdução ao Curso 6: Web design responsivo no Adobe XD, Dave - Minha jornada até a UX, Boas-vindas à semana 1, Como funcionam sites responsivos, Introdução ao Adobe XD, Iniciar um projeto no Adobe XD, Jennifer - Usar ferramentas de design digital, Desenvolver empatia pelos usuários e entender pontos problemáticos, Criar personas, Criar histórias de usuários, Criar um mapa da jornada do usuário, Criar uma declaração de problema, Finalização: Início do processo de design de UX: empatia e definição
Boas-vindas à semana 2, Realizar uma auditoria competitiva, Pensar em ideias usando o exercício Como podemos, Pensar em ideias usando o exercício Crazy Eights, Planejar a arquitetura da informação, Explorar estruturas comuns de sites, Explorar sitemaps, Construir um sitemap para seu site, Finalização: Continuação do processo de design de UX: Ideação
Boas-vindas à semana 3, Explorar layouts comuns de páginas iniciais de sites, Fundamentos de wireframes, Planejar um layout responsivo, Ajustar layouts de página com base no tamanho da tela, Transição de wireframes de papel para digitais, Criar wireframes digitais no Adobe XD, Criar wireframes para outros tamanhos de tela no Adobe XD, Jay - Design com o Adobe XD, Refinar wireframes para melhorar a acessibilidade, Avaliar wireframes usando os Princípios de Gestalt, ​Finalização: Como criar wireframes para um site responsivo
Boas-vindas à semana 4, Compreender protótipos de alta fidelidade, Criar um protótipo de baixa fidelidade no Adobe XD, Planejar um estudo de pesquisa de UX, Realizar um estudo de usabilidade, Reduzir o viés em um estudo de usabilidade, Analisar e sintetizar os resultados da pesquisa, Iterar em projetos de baixa fidelidade com base nas descobertas da pesquisa, Finalização: Criação e teste de protótipos de baixa fidelidade
Boas-vindas à semana 5, Começar a criar modelos, Começar a criar modelos para a página inicial de um site no Adobe XD, Continuar criando modelos para a página inicial de um site no Adobe XD, Criar modelos para um site para dispositivos móveis no Adobe XD, Trabalhar com sistemas de design, Usar sistemas de design externos no Adobe XD, Criar um protótipo de alta fidelidade no Adobe XD, Fazer anotações em protótipos para acessibilidade na Web, Finalização: Como criar e testar designs de alta fidelidade, Opcional: testar o protótipo de alta fidelidade
Bem-vindo à semana 6, Colaborar com as equipes de engenharia, Entregar especificações de design no Adobe XD, Adicionar um projeto ao seu portfólio, Entenda os trabalhos comuns para designers de UX, Explore os tipos de empresa em que os designers de UX trabalham, Kenny – Perseverança, Identifique onde se candidatar a trabalhos de design de UX, Verifique descrições de vagas para palavras-chave, Entenda os currículos de design de UX, Dane – Meu conselho para currículos de design UX, Tim – Meu conselho para currículos de design de UX, Atualizar um currículo com base nas descrições de vagas, Finalização: Documentar o trabalho de design e procurar empregos, Parabéns por concluir o Curso 6: Web design responsivo em Adobe XD
Course: Information Extraction from Free Text Data in Health
Modules:
Welcome to Information Extraction from Free Text Data in Health, What is Information Extraction? | Part 1, What is Information Extraction? | Part 2, Information Extraction on Formatted Text, Identifying Dates, Using Curated Lists for Information Extraction, Evaluation Metrics, Hands-On Exercise Demo
Medical Natural Language Processing | Part 1, Medical Natural Language Processing | Part 2, Health Ontology Resources | Part 1, Health Ontology Resources | Part 2, Health Ontology Resources | Part 3, Hands-On Exercice Demo
Introduction to Medical Named Entity Extraction, Medical Named Entity Extraction, Sequence Labeling, Hidden Markov Models, Conditional Random Fields, NER Features, Hands-On Exercice Demo
What is Deep Learning?, Perceptron: Simplest Neural Network, Deep Neural Networks, Deep Learning: Applications, Hands-On Exercice Demo
Course: Electrónica Digital Bit a Bit: Diseñando en Verilog para FPGA
Modules:
Multiplexores, Síntesis de funciones lógicas usando multiplexores, Teorema de expansión de Shannon, Decodificadores, Demultiplexores, Codificadores, Conversores de código, Circuitos de comparación aritmética, Otros circuitos combinacionales con Verilog, Generate, tareas y funciones en Verilog
Latch básico, Latch SR comandado por compuerta, Latch D comandado por compuerta, Flip flops D gatillados por flanco, Flip flops D con clear y preset, Flip flops T y JK, Registros, Contadores asíncronos, Contadores síncronos, Contadores síncronos con flip-flops D, Otros contadores y divisores de Clock, Ejemplo de diseño: temporizador de reacción
Fundamentos de las FSMs, Máquina de Moore, Problema de asignación de estados, Modelo de estados de Mealy, Diseño de FSMs utilizando CAD, Estilos alternativos de diseño con Verilog, Ejemplo de diseño: sumador serial (Mealy), Ejemplo de diseño: sumador serial (Moore), Minimización de estados, El contador como circuito secuencial, Una FSM como circuito arbitrador, Análisis de circuitos secuenciales síncronos, Modelo formal de los circuitos secuenciales, Buffers para reloj en FPGAs, Cruce de dominios de reloj
Comportamiento asíncrono, Análisis de circuitos asíncronos, Síntesis de circuitos asíncronos, Reducción de estados, Asignación de estados, Riesgos (hazards) en circuitos asíncronos, Ejemplo de diseño: controlador para máquina expendedora
Estructura de bus, Memoria RAM estática (SRAM), Procesador simple, Circuito contador de bits, Multiplicador shift-and-add, Divisor, Media aritmética, Operación ordenar, Sincronización de Clock y problemas de tiempo
Course: Introduction to Software-Defined (SD) Branch
Modules:
Course Welcome, Traditional Branch Networks, Challenges of Traditional Branch Networks, SD-Branch Networks, Concept of Secure SD-Branch, Security and Protection in Business, Components of Traditional Branch Networks, Software-Defined Networking (SDN), Software-Defined Branch (SD-Branch), Assessment and Planning, Challenges in Deployment
Core Principles of SDN, SD-Branch Architecture, Benefits of SD-Networking Solutions, SD-Branch Components, SD-Branch Integration, Secure SD-Branch, Security Controls in Secure SD-Branch, Zero Trust, UTM, and Benefits of Secure SD-Branch
Benefits of the Traditional Branch Network, Limitations of Traditional Networks, SD-Branch, an Evolution in Network Architecture, Limitations of SD-Branch, Conclusion
Course: Cloud Computing Fundamentals on Alibaba Cloud
Modules:
Introduction to ECS, ECS Instance, ECS Storage, ECS Networking, ECS Additional Settings, Full Hands-On Guide, Create a Cloud Disk Demo
RDS Concept, RDS Instance, RDS Features, RDS Monitoring & Security, Create an RDS Instance, Demo: Instance Backup, Demo: Read-Only Instance, Demo: Upgrade Instance Configuration
OSS Overview, OSS Introduction, OSS Concepts, OSS Bucket Operations, OSS Object Operations, OSS Image Processing, OSS Web Hosting and Monitoring, OSS Build a Domain Name, OSS Security Features
SLB Overview, SLB Features, SLB Components, SLB Additional Settings, SLB Hands-On Guide
Auto Scaling Overview, Auto Scaling Introduction, Auto Scaling Concepts, Scaling Group, Scaling Configuration, Scaling Rules, Manuel Operations, Scaling Trigger Tasks, Auto Scaling Summary
Cloud Security Overview, Host Security, Network Security, Application Security, Cloud Security Recap
China Gateway Service, Support Services
Exam Preparations & Tips
Course: Selective Laser Sintering and Metal Laser Powder Bed Fusion
Modules:
About this Course: Selective Laser Sintering and Metal Laser Powder Bed Fusion
Lecture Video: Introduction to Selective Laser Sintering, Lecture Video: Selective Laser Sintering Build Preparation, Lecture Video: Selective Laser Sintering Machine Setup, Lecture Video: Selective Laser Sintering Post-Processing
Lecture Video: Laser Powder Bed Fusion, Lecture Video: Metal Laser Powder Bed Fusion Build Preparation, Lecture Video: Metal Laser Powder Bed Fusion Machine Setup, Lecture Video: Metal Laser Powder Bed Fusion Post-Processing
Lecture Video: Introduction to Course 4 Project, Lecture Video: Course 4 Project Solution, Course 4 Wrap-Up
Course: FortiGate Administrator
Modules:
Welcome to Fortinet Network Security Specialization, Welcome to FortiGate Administrator
Firewall Policies
Routing
Firewall Authentication
SSL-VPN
Web Filtering
Application Control
Course: Addiction Treatment: Clinical Skills for Healthcare Providers
Modules:
What you'll learn in the course, What you will learn in Module 1, How do you talk about addiction?, How do you define addiction?, How do you have patient-centered conversations?, How does implicit bias impact addiction treatment?, Get to know your patient (& practice MI), Conduct pain assessment (& practice MI), Meet the instructor team, Review the many health disciplines involved in addiction treatment, Weigh the pros & cons of using the word "addiction", Dispel myths and misconceptions, Join us!
What you'll learn in Module 2, How do you screen to determine risk?, What is a standard drink?, How do you conduct a brief intervention?, How do you diagnose a substance use disorder?, Screen, Diagnose, Implement universal screening, Focus on prevention, Compare the dangers of different substances
What you'll learn in Module 3, How do you evaluate using the RIPTEAR framework?, How do you clarify treatment goals?, What is the stepped care model?, What treatment settings are available?, How do you refer to treatment?, How do you leverage the interprofessional team?, Evaluate using RIPTEAR, Clarify patient goals, Leverage the interprofessional team, Collaborate with other providers, Keep track of treatment settings, Defend harm reduction
What you'll learn in Module 4, What is the neurobiology of addiction?, How do you talk about medications for Opioid Use Disorder?, What medications are available for Opioid Use Disorder?, What medications are available for adolescents with Opioid Use Disorder?, What medications are available for Alcohol Use Disorder?, What medications are available for Nicotine Use Disorder?, How do you monitor treatment?, Treat with medications, BONUS: Initiate buprenorphine, Monitor treatment part 1, review urine test, Monitor treatment part 2, relapse prevention, Use appropriate caution with long-term opioids, Review non-medication options, Decide if cannabis use can lead to disordered use
What you'll learn in Module 5, What is the basic neurobiology of recovery?, What are common self-help and mutual-support approaches?, Which psychotherapies are available?, What is the role of family in addiction treatment?, How common is psychiatric comorbidity?, Recommend self-help and available therapies, Explain the chronic nature of addiction, Handle patient objections to behavioral therapies
What you'll learn in Module 6, How does systemic racism impact addiction treatment?, What can we learn from the past?, Which policies and programs improve addiction treatment?, How do you find quality treatment in a broken system?, What happens when providers get sick?, How do other countries approach addiction treatment?, How is COVID-19 impacting addiction treatment?, Review positive developments in addiction field, Prioritize investments in addiction, Examine the delivery of care
Course: System Validation (2): Model process behaviour
Modules:
Introduction MOOC model process behaviour, Actions, multi-actions, alternative and sequential composition, Process axioms, Recursive process specifications, Processes and actions with data; the conditional operator, The sum operator, The alarm clock revisited
The construction of data types, Specification of Peano numbers, Specification of efficient numbers, Specification of lists, Functions, sets and bags, Structured types, Quantifiers, Knuth's dancing links
The parallel, communication and allow operators, The hiding operator, Peterson's mutual exclusion algorithm
Course: Exploring ​and ​Preparing ​your ​Data with BigQuery
Modules:
Course series introduction
Analytics ​challenges ​faced ​by ​data ​analysts, Big ​data ​on-premises ​versus ​in ​the ​cloud, Real-world ​use cases, ​Google ​Cloud ​project ​basics
Data analyst tasks and challenges and Google Cloud data tools, 9 fundamental ​​BigQuery ​features, Walkthrough: Data architecture diagram, Google Cloud ​tools ​for ​analysts ​data ​scientists ​and data ​engineers, Coursera: Getting Started with Google Cloud Platform and Qwiklabs
Introduction to the Google Analytics ecommerce dataset, Common data exploration techniques, Query basics, Introduction to functions, Filters, aggregates, and duplicates, Data types, date functions, and NULLs, Wildcard filters with LIKE
BigQuery jobs, Sizing and cost management, Optimize ​queries ​for ​cost
​5 ​principles ​of ​dataset ​integrity, Dataset ​shape ​and ​skew, Clean ​and ​transform ​data ​using ​SQL, Clean ​and ​transform ​data ​using ​a ​new ​UI: ​Introducing ​Dataprep, Components of Data Fusion, Building a Pipeline, Exploring Data using Wrangler
Course Summary
Course: Getting Started with Terraform for Google Cloud - 日本語版
Modules:
コースの概要
モジュールの概要, Infrastructure as Code, Terraform の概要, Terraform の使用, モジュールまとめ
モジュールの概要, Terraform の構成と HashiCorp 言語, 作成フェーズで使用する用語と概念, Terraform コマンド, The Terraform Validator, デモ - Terraform ワークフロー, Coursera: Google Cloud Platform と Qwiklabs を使用する, ラボの概要: Terraform を使用した Infrastructure as Code, モジュールまとめ
モジュールの概要, リソースの概要, リソースのメタ引数, リソースの依存関係, 変数, 変数に関するベスト プラクティス, 出力値, Terraform Registry と Cloud Foundation Toolkit, ラボの概要: Terraform でリソース依存関係を作成する, モジュールまとめ
モジュールの概要, Terraform モジュールの概要, モジュールのユースケースとメリット, モジュールを使用した構成の再利用, 変数と出力, ベスト プラクティスとリアルタイムのシナリオ, ラボの概要: Terraform を使用したインフラストラクチャのデプロイの自動化, モジュールまとめ
モジュールの概要, Terraform の状態の概要, 状態ファイルの保存, Terraform の状態に関するベスト プラクティス, ラボの概要: リモート バックエンドの作成, モジュールまとめ
コースのまとめ
Course: Big Data, Genes, and Medicine
Modules:
Introduction to the Course, Introduction to Module, DNA and Genes, RNA and Proteins, Transcription Process, Transcription Animation, Translation Process, Translation Animation, Data, Variables, and Big Datasets, Working with cBioPortal - Genetic Data Analysis, Working with cBioPortal - Gene Networks
Introduction to Module, Datasets and Files, Data Sources, Importance of Data Preprocessing, Data Preprocessing Tasks, Replacing Missing Values, Data Normalization, Data Discretization, Feature Selection, Data Sampling, Principles of R, R Language, Jupyter Notebooks 101
Introduction to Module, Overview of Feature Selection Methods, Filter Methods, Wrapper Methods, Evaluation Schemes, Selecting Differentially Expressed Genes, Heatmaps, R Scripts for Feature Selection, Jupyter Notebooks 101
Introduction to Module, Overview of Classification and Prediction Methods, Classification Methods Based on Analogy, Classification Methods Based on Rules, Classification Methods Based on Neural Networks, Classification Methods Based on Statistics, Classification Methods Based on Probabilities, Prediction Methods, Evaluation Schemes, Prediction Workflow, R Scripts for Prediction, Jupyter Notebooks 101
Introduction to Module, Overview of Gene Alterations, Genetic Mutations, Finding Genetic Mutations, Methylation, Copy Number Alterations, Genomic Alterations and Gene Expressions, R Scripts for Gene Alterations, Jupyter Notebooks 101
Introduction to Module, Overview of Clustering Methods, Similarity Assessment, Clustering with KMeans, Density Based Clustering, Hierarchical Clustering, Pathway Analysis, Pathway Discovery, Pathway Visualization, R Scripts for Clustering and Pathway Analysis, Jupyter Notebooks 101, Concluding Remarks
Course: Regression Modeling Fundamentals
Modules:
Welcome and Meet the Instructor, Demo: Exploring Ames Housing Data
Overview, Scenario, Approaches to Selecting Models, The All-Possible Regressions Approach to Model Building, The Stepwise Selection Approach to Model Building, Interpreting p-Values and Parameter Estimates, Demo: Performing Stepwise Regression Using PROC GLMSELECT, Scenario, Information Criteria, Adjusted R-Square and Mallows' Cp, Demo: Performing Model Selection Using PROC GLMSELECT
Overview, Scenario, Assumptions for Regression, Verifying Assumptions Using Residual Plots, Demo: Examining Residual Plots Using PROC REG, Scenario, Identifying Influential Observations, Checking for Outliers with STUDENT Residuals, Checking for Influential Observations, Detecting Influential Observations with DFBETAS, Demo: Looking for Influential Observations Using PROC GLMSELECT and PROC REG, Demo: Examining the Influential Observations Using PROC PRINT, Handling Influential Observations, Scenario, Exploring Collinearity, Visualizing Collinearity, Demo: Calculating Collinearity Diagnostics Using PROC REG, Using an Effective Modeling Cycle
Overview, Scenario, Predictive Modeling Terminology, Model Complexity, Building a Predictive Model, Model Assessment and Selection, Demo: Building a Predictive Model Using PROC GLMSELECT, Scenario, Preparing for Scoring, Methods of Scoring, Demo: Scoring Data Using PROC PLM
Overview, Scenario, Associations between Categorical Variables, Demo: Examining the Distribution of Categorical Variables Using PROC FREQ and PROC UNIVARIATE, Scenario, The Pearson Chi-Square Test, Odds Ratios, Demo: Performing a Pearson Chi-Square Test of Association Using PROC FREQ, Scenario, The Mantel-Haenszel Chi-Square Test, The Spearman Correlation Statistic, Demo: Detecting Ordinal Associations Using PROC FREQ, Scenario, Modeling a Binary Response, Demo: Fitting a Binary Logistic Regression Model Using PROC LOGISTIC, Interpreting the Odds Ratio, Comparing Pairs to Assess the Fit of a Logistic Regression Model, Scenario, Specifying a Parameterization Method, Demo: Fitting a Multiple Logistic Regression Model with Categorical Predictors Using PROC LOGISTIC, Scenario, Interactions between Variables, Demo: Fitting a Multiple Logistic Regression Model with Interactions Using PROC LOGISTIC, Demo: Fitting a Multiple Logistic Regression Model with All Odds Ratios Using PROC LOGISTIC, Demo: Generating Predictions Using PROC PLM
Course: Animal Welfare in the Clinic
Modules:
Introduction to week 1, The word 'owner', Why animal welfare is important in the clinic, 'The 5 Domains', Research and animal welfare, Normal cat behaviour, Cat behaviour and body language, Normal dog behaviour, Dominance hierarchies, Recognising stressed dog behaviour, Normal rabbit behaviour, What motivates canine aggression, What can the veterinary practice do when an owner reports canine aggression, What happens during a behaviour consultation?, Guidance on providing behavioural advice prior to referral for a behaviour consultation (Kevin McPeake), Animal welfare in the Japanese clinic, Animal welfare in the Japanese clinic (Japanese version)
Introduction to week 2, How the owner can reduce stress prior to the visit, Welfare bank account, Low stress handling: an overview, Low stress handling when examining cats, Low stress handling when examining dogs, Trigger stacking, Waiting and consult room, Rabbit handling, Client support: Preparing to bring your rabbit to the vet, Client Support:  Securing your rabbit (bunny burrito technique), Dog friendly clinic (Rachel Malkani), Cat friendly clinics (Clair Bontoft), How to maintain welfare for the critical patient
Introduction to week 3, Preparation/treatment area for clinical and pre-surgical procedures, Operating room, Kennels and recovery area, Considerations for the rabbit inpatient, Long term inpatient care and the special nurse, Treatment for interoperative pain, Pain and exotics
Introduction to week 4, Why treating acute pain is important, Pain pathways and multimodal analgesia, Recognising and measuring pain in cats, Recognising and measuring pain in dogs, Recognising and measuring pain in rabbits, Pain presence, Pain score: cats and dogs, Returning the patient to the owner and post-operative care at home, Post-operative pain, Enrichment for cats and dogs undergoing strict rest, Client support: Giving oral supplement to your rabbit, Client support: Giving oral medication to your rabbit, Euthanasia
Course: Chronic Respiratory Diseases (CRD) in Primary Care Settings
Modules:
Course introduction, Good quality primary respiratory care
Peak flow meter demonstration, Recording peak flow meter readings, Nandini asthma review
Introduction, Case study part 2, Case study part 3, Treating tobacco dependence: Guidance for primary care on life-saving interventions. Position statement of the IPCRG, Key facts about COPD, Risk factors of COPD, Pathways to diagnosis of COPD, Spirometry, Chest X-ray, Assessment of symptoms and impact on health status, Relief of symptoms, Prevention: Smoking cessation, Prevention: Vaccination, Prevention: Physical activity, Improvement: Pulmonary rehabilitation and psychological support, Treatment of exacerbations
Palliative care in low-resource settings
Top tips for improving care, Top tips on pulmonary rehabilitation (PR), Pulmonary rehabilitation in low-resource settings, Behavioural intervention, COVID-19 resources, SWOT analysis, Personal action plan, Congratulations!
Course: Cloud Essentials for Business Leaders - Healthcare and Life Sciences v01.00.00
Modules:
Cloud Essentials for Business Leaders – Healthcare and Life Sciences
Course: Gemini in Google Sheets - Français
Modules:
Présentation du cours "Gemini in Google Sheets", Créer des plans et des outils de suivi, Créer et améliorer des requêtes de modèle, Activité expliquée
Course: Setting Up Your Sale
Modules:
Welcome to the course, Trust and Credibility, Researching the Customer, Leading with Insight, Call Opening, Rapport and Professional Communication
Welcome to the course, Digital Transformation, Introducing the As A Service Model (aaS), Realizing X-rays that move, using technology that transforms, FedEx digitally transforms to connect the world, Driving human progress by addressing global challenges, Computing Fundamentals Pt. 1, Computing Fundamentals Pt. 2, Data Center Fundamentals Pt. 1, Data Center Fundamentals Pt. 2
Welcome to the Course, Effective Questioning, 5 (Powerful) Sales Questions To Ask A Potential Client To Determine Their Needs, Questions to Close the Deal, Course Close
Course: Introduction to Portfolio Construction and Analysis with Python
Modules:
Welcome video, Installing Anaconda, Fundamentals of Returns, Lab Session-Basics of returns, Measures of Risk and Reward, Lab Session-Risk Adjusted returns, Measuring Max Drawdown, Lab Session-Drawdown, Deviations from Normality, Lab Session-Building your own modules, Downside risk measures, Lab Session-Deviations from Normality, Estimating VaR, Lab Session-Semi Deviation, VAR and CVAR
The only free lunch in Finance, Lab Session-Efficient frontier-Part 1, Markowitz Optimization and the Efficient Frontier, Applying quadprog to draw the efficient Frontier, Lab Session-Asset Efficient Frontier-Part 2, Lab Session-Applying Quadprog to Draw the Efficient Frontier, Fund Separation Theorem and the Capital Market Line, Lab Session-Locating the Max Sharpe Ratio Portfolio, Lack of robustness of Markowitz analysis, Lab Session-Plotting EW and GMV on the Efficient Frontier
Limits of diversification, Lab session- Limits of Diversification-Part1, Lab session-Limits of diversification-Part 2, An introduction to CPPI - Part 1, An introduction to CPPI - Part 2, Lab session-CPPI and Drawdown Constraints-Part1, Lab session-CPPI and Drawdown Constraints-Part2, Simulating asset returns with random walks, Monte Carlo Simulation, Lab Session-Random Walks and Monte Carlo, Analyzing CPPI strategies, Lab Session-Installing IPYWIDGETS, Designing and calibrating CPPI strategies, Lab session - interactive plots of monte Carlo Simulations of CPPI and GBM-Part1, Lab session - interactive plots of monte Carlo Simulations of CPPI and GBM-Part2
From Asset Management to Asset-Liability Management, Lab Session-Present Values,liabilities and funding ratio, Liability hedging portfolios, Lab Session-CIR Model and cash vs ZC bonds, Liability-driven investing (LDI), Lab Session-Liability driven investing, Choosing the policy portfolio, Lab Session-Monte Carlo simulation of coupon-bearing bonds using CIR, Beyond LDI, Lab Session-Naive risk budgeting between the PSP & GHP, Liability-friendly equity portfolios, Lab Session-Dynamic risk budgeting between PSP & LHP
Course: الأخلاقيات والثقافة ووجهات النظر العالمية
Modules:
تعرّف على إليزابيث لاكمان, مقدمة إلى الوحدتين الأولى والثانية, مقدمة الوحدة الأولى, تعرّف على الاستاذة باتريشيا ويرهين, دراسة حالة - ميرك والعمى النهري, النظريات الأخلاقية وإسهاماتها في عملية اتخاذ القرار, ميرك والاستدلال الأخلاقي, قرار ميرك
مقدمة لنظرية أصحاب المصلحة, باير كروب ساينس وقضية عمل الأطفال, نظرية أصحاب المصلحة, الحقوق والعدل في نظرية أصحاب المصلحة, باير كروب ساينس وإطار الاستدلال الأخلاقي, اختتام الوحدتين الأولى والثانية
مقدمة إلى الوحدات الثالثة والرابعة والخامسة, تعرّف على الأستاذ كارلوس توريلي, العولمة والقوى التي ترسم ملامح سلوكيات المستهلكين, ما هي الثقافة؟, أين توجد الثقافة وتتجلى بوضوح؟, العلامات التجارية الشهيرة والقيمة الثقافية
الثقافة كهيكل معرفة, العقليات المتعددة الثقافات, تغيير الإطار الثقافي, استيعاب السلوكيات وفق الإطار الثقافي
ما هو الامتزاج الثقافي؟, كيف يستجيب الأشخاص للامتزاج الثقافي؟ – التفاعلات المعرفية, كيف يستجيب الأشخاص للامتزاج الثقافي؟ - الاستجابات التقييمية, الامتزاج الثقافي وعواقبه - العوامل التي تؤثر على الاستجابات التقييمية للامتزاج الثقافي, اختتام الوحدات الثالثة والرابعة والخامسة
Course: AWS Networking Basics v01.01.00s
Modules:
AWS Networking Basics
Course: Managing Uncertainty in Marketing Analytics
Modules:
Randomness & Probability: An Introduction, Applications of Randomness & Probability, Assessing the Value of Information
Randomness & Probability Excel Demonstration
A General Decision Making Framework, Properties of Random Variables, Steps in Using Probability Functions, Normal Distribution & Other Probability Models, Warnings in Modeling Uncertainty
Product Protection Plans, Company Constraints & Decisions, Questions to Investigate, Extended Service Warranty Excel Exercise
Course: Forming Christ-Shaped Leaders
Modules:
Bearing Witness in Christian Communities
A Wesleyan Perspective on Work and Vocation
Leading Through Trauma
Christ-Shaped Character and Leadership Innovation
Course: Construction of Metro Rail Systems
Modules:
About the Specialization, About the Course, Challenges in Metro Construction, Introduction to Site Investigation, Surface investigation, Subsurface investigation-Part 1, Subsurface investigation-Part 2, Insitu testings - Soil, Insitu testings - Rock, Sampling Techniques, Lab testing methods- Soil -I, Lab testing methods- Soil -II, Lab testing methods- Rock
Overview of Elevated station, Components of Elevated station, Components of Elevated Metro Viaducts, Precast structures a solution for Urban Infrastructure and Construction, Precasting yard development, Types of Precast Super Structure, Different Kinds of Precast Moulds, Precast Mould development, Cast-in Situ Construction in Metros, Formwork System Overview, Form work design, Introduction to Precast Erection, Launching methods, Obligatory Span overview and construction methodology, Substructure Construction Methods Part 1, Substructure Construction Methods Part 2, Challenges in Foundation Construction, Construction Methods for Foundation Construction, Well Foundation Construction Methodology - Overview
Rock mass classification, Cut and Cover method, Boring method of Tunneling, Drill and blast tunneling method, Tunneling method (NATM), Tunneling method (NMT), Comparison between soft and hard ground tunneling [NATM Vs NMT]
Tunnel support systems, Rock bolts, Anchor mechanism, Pre-excavation supports, Shotcrete, Rib reinforced shotcrete, Lattice girder & steel arches, Selection of tunnel supports
Introduction to Pre excavation support systems, Purpose of Pre excavation support systems, Ground Freezing method, Umbrella arch method -I, Umbrella arch method -II, Face grouting, Pre grouting, Types of Pre grouting
Introduction to components of underground stations, Introduction of Construction Methods of underground stations, Bottom up Methodology, Top down Methodology, Temporary & permanent support system to be adopted for different construction methodology - Part 1, Temporary & permanent support system to be adopted for different construction methodology - Part 2, Temporary & permanent support system to be adopted for different construction methodology - Part 3, Selection of  construction methodology Advantage & disadvantage of different construction methodology, Practical applications
Course: Leading and Developing Top Talent
Modules:
Introduction Video
Hiring for Team Culture Lecture (24 minutes), Hiring for Team Culture Summary (1 minute), Team Building for Remote and Hybrid Environments Lecture (17 minutes), Team Building for Remote and Hybrid Environments Summary (1 minute), Leading with Successful Diversity, Equity, Inclusion, and Belonging Strategies Lecture (18 minutes), Leading with Successful Diversity, Equity, Inclusion, and Belonging Strategies Summary (1 minute), Preventing and Managing Conflict Introduction (2 minutes), Preventing and Managing Conflict Lecture (36 minutes), Preventing and Managing Conflict Summary (2 minutes)
The Art of Strategic Planning Introduction (2 minutes), The Art of Strategic Planning Lecture (23 minutes), The Art of Strategic Planning Summary (5 minutes), Developing SMART Organizational and Team Goals Introduction (1 minute), Developing SMART Organizational and Team Goals Lecture (26 minutes), Developing SMART Organizational and Team Goals Summary (2 minutes), Developing KPI Through Collaboration Lecture (19 minutes), Developing KPI Through Collaboration Summary (2 minutes)
Coaching In-Person Virtually Lecture (19 minutes), Coaching In-Person Virtually Summary (2 minutes), Mentoring In-Person Virtually Lecture (15 minutes), Mentoring In-Person Virtually Summary (1 minute), Having Difficult Conversations Lecture (27 minutes), Having Difficult Conversations Summary (1 minute)
Course: Responsible AI for Developers: Fairness & Bias
Modules:
Course Introduction
AI & Responsibility, Google’s AI Principles, Responsible AI Practices, Case study: Google Flights
Overview of Fairness and Bias, Identify Bias - TFDV Tool, Identify Bias - What-if Tool, Identify Bias - TFMA Tool, Mitigate Bias - Data Intervention, Mitigate Bias - Threshold Calibration, Mitigate Bias - Model Remediation, Lab: Mitigate Bias with MinDiff in TensorFlow, Coursera: Getting Started with Google Cloud Platform and Qwiklabs
Course Summary
Module 0: Course Introduction, Module 1: Introduction to Responsible AI, Module 2: AI Fairness & Bias, Module 3: Course Summary
Course: Machine Learning with Python
Modules:
Course Introduction, Welcome, Introduction to Machine Learning, Python for Machine Learning, Supervised vs Unsupervised
Introduction to Regression, Simple Linear Regression, Model Evaluation in Regression Models, Evaluation Metrics in Regression Models, Multiple Linear Regression
Introduction to Classification, K-Nearest Neighbours, Evaluation Metrics in Classification, Introduction to Decision Trees, Building Decision Trees
Intro to Logistic Regression, Logistic regression vs Linear regression, Logistic Regression Training, Support Vector Machine
Intro to Clustering, Intro to k-Means, More on k-Means
Congratulations!, IBM Digital Badge, Project Scenario
Course: Turning Point: Estratégia, Liderança e Gestão de Mudanças
Modules:
Visão Geral do Curso, Estratégia Organizacional, Escolas de Pensamento Estratégico, Estratégia do Oceano Azul, Forças que Atuam Sobre a Estratégia, Formulação e Avaliação de Estratégias
Vantagem Competitiva, Modelo das 5 Forças de Porter, Modelo VRIO, Fusões, Aquisições e Alianças Estratégicas, Mensuração do Desempenho Estratégico, Desdobramento da Estratégia
O que é Mudança Organizacional?, Gestão de Mudanças Organizacionais: O Lado Humano da Mudança, Os Pilares e o Processo da Gestão de Mudanças Organizacionais, A Competência de Patrocínio, Frameworks e Metodologias, Gestão de Stakeholders, Implementando a Gestão de Mudanças
Papel do Líder nas Organizações, Empatia Assertiva, Autoliderança, Os Níveis da Liderança, Liderança Situacional, Liderança para a Mudança e Vantagem Competitiva
Course: IS/IT Governance
Modules:
An Introduction to the Information Systems Specialization, Course Project Introduction, 1.1-1 Personal Introduction, 1.1-2 Course Overview, 1.1-3 IT Alignment Part 1, 1.1-4 IT Alignment Part 2, 1.1-5 IT Alignment Part 3, 1.2-1 A Framework for IT Governance, 1.2-2 Who Makes the Decisions, 1.2-3 How IT Decisions are Made, 1.3-1 Key Principles and Practices, 1.3-2 Operating Model and Enterprise Architecture, 1.3-3 Application Silo Stage, 1.3-4 Implications of Enterprise Stages, 1.4-1 Module 1 Summary
2.1-1a Evaluating IT Investments Part 1, 2.1-1b Net Profit Value Part 1, 2.1-1c Net Profit Value Part 2, 2.1-1d Net Proft Value Part 3, 2.1-1e Net Profit Value Part 4, 2.1-2 Evaluating IT Investments Part 2, 2.1-3 Evaluating IT Investments Part 3, 2.1-4 Evaluating IT Investments Part 4, 2.2-1 Incorporating Risk in IT Investment Evaluation Part 1, 2.2-2 Incorporating Risk in IT Investment Evaluation Part 2, System Implementation Problem, System Implementation Problem Analysis, 2.2-3 Incorporating Risk in IT Investment Evaluation Part 3, 2.3-1 Module 2 Summary
3.1-1 Definition of IT Investment Portfolio, 3.1-2 Characteristics of Different IT Asset Classes, 3.1-3 Strategic Orientation and Portfolio Management, 3.2-1 IT Chargeback, 3.2-2 Compare Alternative Approaches to IT Chargeback, 3.2-3 Explore Implications of IT Chargeback, 3.3-1 Module 3 Summary
4.1-1 Understanding User Resistance, 4.1-2 Different Models of User Adoption, 4.1-3 Different Levers for Affecting User Adoption, 4.2-1 Evolutionary vs. Revolutionary Change, 4.2-2 Project Management vs. Learning Approach, 4.3-1 Module 4 Summary
Project Overview
Course: Build Regression, Classification, and Clustering Models
Modules:
Course Intro: Build Regression, Classification, and Clustering Models, Build Linear Regression Models Using Linear Algebra Module Introduction, Linear Regression, Linear Equation, Straight Line Fit to Data Example, Linear Regression in Machine Learning, Matrices in Linear Regression, Normal Equation, Advanced Linear Models, Cost Function, MSE and MAE, Coefficient of Determination, Normal Equation Shortcomings
Build Regularized and Iterative Linear Regression Models Module Introduction, Regularization Techniques, Ridge Regression, Lasso Regression, Elastic Net Regression, Iterative Models, Gradient Descent, Gradient Descent Techniques
Train Classification Models Module Introduction, Linear Regression Shortcomings, Logistic Regression, Decision Boundary, Cost Function for Logistic Regression, k-Nearest Neighbor (k-NN), Logistic Regression vs. k-NN, Multi-Label and Multi-Class Classification, Multinomial Logistic Regression
Evaluate and Tune Classification Models Module Introduction, Model Performance, Confusion Matrix, Classifier Performance Measurement, Accuracy, Precision, Recall, F₁ Score, Receiver Operating Characteristic (ROC) Curve, Thresholds and AUC, Precision–Recall Curve (PRC), Hyperparameter Optimization, Grid Search, Randomized Search, Bayesian Optimization, Genetic Algorithms
Build Clustering Models Module Introduction, k-Means Clustering, Global vs. Local Optimization, Elbow Point, Cluster Sum of Squares, Silhouette Analysis, k-Means Clustering Shortcomings, Hierarchical Clustering, Dendrogram
Building a Regression, Classification, or Clustering Model
Course: Major and Principal Gifts
Modules:
Major and Principal Gifts Course Introduction, An Introduction to the Major and Principal Gift Process, History of Philanthropy (Part 1), History of Philanthropy (Part 2), Development of a Major Gifts Program (Part 1), Development of a Major Gifts Program (Part 2), Motivating the Major Gift Donor (Part 1), Motivating the Major Gift Donor (Part 2)
An Introduction to Major and Principal Gift Prospect Identification and Management, Definition and Benefits of Prospect Research, How Prospect Research Works (Part 1), How Prospect Research Works (Part 2), Determining Prospects' Giving Capacity, Moves Management (Part 1), Moves Management (Part 2)
Introduction to Prospect Cultivation, Strategy Development and Getting the First Appointment, Opening the Door with Pre-Call Contacts (Part 1), Opening the Door with Pre-Call Contacts (Part 2), Objectives of an Initial Visit (Part 1), Objectives of an Initial Visit (Part 2), Donor Interest and Strategies (Part 1), Donor Interest and Strategies (Part 2)
Introduction to Writing the Proposal and Making the 'Ask', Writing the Proposal - Part 1, Writing the Proposal - Part 2, Writing the Proposal - Part 3, Writing the Proposal - Part 4, The Structure of a Successful Solicitation Strategy (Part 1), The Structure of a Successful Solicitation Strategy (Part 2), Practice the Ask and Negotiation (Part 1), Practice the Ask and Negotiation (Part 2), Practice the Ask and Negotiation (Part 3)
Introduction to Structuring, Documenting, and Executing a Major Gift Through Stewardship, Structuring, Documenting, and Executing a Major Gift (Part 1), Structuring, Documenting, and Executing a Major Gift (Part 2), An Effective Stewardship Program, Course Summary on Major and Principal Gifts
Course: AR (Augmented Reality) & Video Streaming Services Emerging Technologies
Modules:
Introduction, 1.1 AR Introduction, 1.2 AR vs. VR, 1.3 AR Applications & Business Models Part 1, 1.3 AR Applications & Business Models Part 2, 1.4 AR Market Analysis
2.1 AR System Components & Workflow, 2.2 AR Feature Detection & Description Technology, 2.3 AR System Process Part 1, 2.3 AR System Process Part 2, 2.4 AR Feature Extraction
3.1 AR Feature Detection & Description Method Comparison, 3.2 SIFT, 3.3 SURF, 3.4 FAST, 3.5 BRIEF, 3.6 ORB, 3.7 BRISK
4.1 Skype, 4.2 Skype Codecs, 4.3 YouTube, 4.4 H.264/MPEG-4 AVC
5.1 Streaming Networks and Technologies Part 1, 5.1 Streaming Networks and Technologies Part 2, 5.2 Video Frames & HTTP Part 1, 5.2 Video Frames & HTTP Part 2, 5.3 YouTube MPEG-DASH Part 1, 5.3 YouTube MPEG-DASH Part 2
6.1 CDN Introduction, 6.2 CDN Hierarchical Content Delivery, 6.3 CDN Market, 6.4 CDN Advanced Technologies Part 1, 6.4 CDN Advanced Technologies Part 2
7.1 IKEA Catalog, 7.2 Google Translate
Course: Developing a Marketing Mix for Growth
Modules:
Developing a Marketing Mix for Growth, Meet Professor Hayden Noel, Using the Marketing Mix to Create Value, Learn on Your Terms
What is Product?, What is Service?, The Services Marketing Triangle, How the Product Delivers Value, Five Product Levels, Product Classifications, The Product Life Cycle, Business-to-Business (B2B) Marketing, Professor Noel's Board Walk: Product Mix Decisions
What is a Distribution Channel?, Lesson 2-2: How Channel Members Add Value?, Channel Design, Channel Management, Disintermediation, Disintermediation in Action, Professor Noel's Board Walk: Zara Supply Chain (Distribution Channel)
What is it Worth to You?, Customized Pricing Strategy, Consumer Psychology and Pricing, Setting Price - The Impact of Demand and Elasticity, Lesson 3-5: Initiating and Responding to Price Change, Professor Noel's Board Walk: New Product Pricing Strategy
Introduction to Promotion, The Communications Model, The Elements of the Communications Mix, Consumer Buying Process, Integrated Marketing Communications, Developing a Communications Plan, Is Your Advertising Effective?, Personal Selling and Public Relations, Sales Promotion & Digital Marketing, Professor Noel's Board Walk: Evaluating Advertising, Discussions with the Experts Steve Raquel
Course: Whole genome sequencing of bacterial genomes - tools and applications
Modules:
Welcome lecture, General Principles of typing of bacteria, Surveillance of Antimicrobial Resistance using whole genome sequencing
Application of Genomic tools- One technology takes it all, Introduction to Next-Generation sequencing (NGS), De novo assembly- from raw reads to contigs: assembler tool description and application
Species identification: KmerFinder tool description and applications, MLST Typing: MLST tool description and applications, Resistance gene detection: Resfinder tool description and applications
Salmonella Serotype identification: SeqSero tool description and applications, E. coli serotype identification: serotype finder tool description and applications, Plasmid replicon identification and plasmid typing, Mobile Element Finder: A web-based tool for detection of Mobile Genetic Elements in assembled sequences
Phylogenetic relatedness: CSI Phylogeny tool description and applications, Evergreen Tree: A platform for identification of foodborne bacterial outbreaks, Multipurpose detection of genetic markers- My Db finder tool description and applications, Tutorial, Final Remarks and perspectives
Course: Introduction to Customer Service
Modules:
Introduction: CVS Health Customer Service Professional Certificate, Course Overview: Introduction to Customer Service, Introduction to Your Instructor - Ricky, Introduction: Customer Service Communication with Empathy, Five Characteristics of Positive Communication, Keep it Simple, Be Positive, Practice Active Listening, Avoid Interruptions, Verify Understanding, Introduction: Greetings, Creating Great Greetings, Evaluating Greetings, Creating Great Closings, Evaluating Closings, Positive and Negative Responses, Hear from: Denielle Booth, How to Turn a Negative Response into a Positive Response, Framework for Creating Positive Responses, Applying the Meet, Greet, Solve framework, Empathy, Customer Service Interactions with Empathy, Applying Empathy, Weekly Review: Customer Service Communication with Empathy
Introduction: Active Listening with Customers, Active Listening, How to Actively Listen, Applying Active Listening, Cues in Communication, Verbal Cues, Applying Verbal Cues, Non-Verbal Cues, Applying Non-Verbal Cues, How to Encourage Customer Engagement, Verifying Understanding, Applying Verifying Understanding, What are Clarifying Questions, Hear from: Cory McLaren, Model for a Clarifying Question, Applying Clarifying Questions, Introduction to Simulations, Weekly Review: Active Listening with Customers
Introduction: Problem Solving in Customer Service, What is Problem Solving in Customer Service, Techniques Used in Problem Solving in Customer Service, Applying Problem Solving in Customer Service, What is a Root Cause and Why is it Important?, Steps to Identifying a Root Cause, Applying Root Cause Analysis, Introduction to the Importance of Following Policies and Procedures, Introduction to Simulations, Weekly Review: Problem Solving in Customer Service
Introduction: Effective Time Management, What is Time Management?, Time Management Strategies in Customer Service, Applying Time Management Strategies, What are Metrics?, Common Metrics Used to Evaluate Customer Service Representatives, Explore Ways to Improve Time Management Metrics, Prioritization, Strategies in Prioritization, Applying Prioritization, Introduction: Simulations, Introduction to Peer Reviews, Walkthrough Peer Review Steps, Weekly Review: Effective Time Management, Congratulations!
Course: Cloud Computing Law: Law Enforcement, Competition, & Tax
Modules:
Welcome to Law Enforcement Access and the Cloud, Introduction to forensic challenges for digital investigations in the cloud, Introduction to data differentiation, Extraterritorial jurisdiction, Voluntary and mandatory disclosures by cloud service providers, Voluntary and mandatory disclosures and jurisdiction, Mutual Legal Assistance, Mutual Recognition, Mutual Trust, Conflicts for Cloud Service Providers, Data Protection and Cloud Service Providers
Welcome to Competition Law, What are competitive markets?, What is market power?, How are markets defined?, What are anti-competitive agreements?, What is abuse of a dominant position?, How does the law control mergers?, What is interoperability?, How can interoperability support competition?, What is portability?, Could access to data be an essential facility?, How does competition work in digital platforms?
Welcome to Week 3, What are the basic international tax principles?, How are software and hardware taxed?, How are SaaS, IaaS and PaaS taxed?, How are mixed cloud contracts taxed?, When is a permanent establishment created at the server country?, When is a permanent establishment created at the user country?, What are the OECD, EU & UN digital tax policy initiatives?, How might cloud providers be affected by the OECD digital tax policy?, What indirect tax challenges does the digital economy pose?
Course: Cybersecurity Job Search, Resume, and Interview Prep
Modules:
Course Introduction, The Role of the Cybersecurity Professional, Expert Viewpoints: Meet the Experts, Expert Viewpoints: Cybersecurity Roles and Skills, IBM Cybersecurity Professional Certificates, Cybersecurity Career Activities, Expert Viewpoints: Cybersecurity as a Career, Illustrating a Cybersecurity Professional's Portfolio, Expert Viewpoints: Professional Portfolios, Creating Profiles for Online Sites, Drafting the Elevator Pitch, Expert Viewpoints: Elevator Pitch
Conducting Company and Industry Research, Expert Viewpoints: Conducting Company Research, Working with Third-Party Recruiters, Drafting a Resume, Expert Viewpoints: Developing a Basic Resume, Drafting a Cover Letter
The End-to-End Interview Process, Submitting Your Application, Preparing for the Interview, Expert Viewpoints: First Round Interview, Cybersecurity Specialist Mock Interview: First Stage, Cybersecurity Specialist Mock Interview: The Technical Interview, Final Interview: Pre-Interview Steps, Expert Viewpoints: Interview Preparation, Attending an Interview, Answering Questions, Expert Viewpoints: Responding to Questions, Cybersecurity Specialist Mock Interview: Final Round
Core and Behavioral Interview Questions, Expert Viewpoints: Interview Questions, Trick Questions and Illegal Questions, Expert Viewpoints: Difficult Questions, Salary Negotiation, Expert Viewpoints: Job Offers
Course: Meeting Investors' Goals
Modules:
Why you should choose this course, An example: buying is easy, but when is it a good time to sell? - Buying, An example: buying is easy, but when is it a good time to sell? - Holding, An example: buying is easy, but when is it a good time to sell? - Selling, The key things you need to know to define your investment profile - UBS guest speaker, What you will learn in this Module, Rational decision making
How our brain may misinterpret information, The basic steps in investment, Biases when choosing which assets to look at, Biases when processing financial information, Biases when rebalancing you portfolio, Biases when evaluating performance, Wrap up, How our emotions impact our investment decisions, Why we trade, What can we learn from this?, The role of media in financial markets, Honesty and trust in investment decision making - Study design, Honesty and trust in investment decision making - Study results, Impact Investing - UBS guest speaker, Are emotions always a bad thing in investing?
What you will learn in this Module, Defining market efficiency, Testing for the efficient market hypothesis: Weak form, Testing for the efficient market hypothesis: Semi strong form, Testing for the efficient market hypothesis: Strong form, Overview of different origins of financial crises, A first example for the development and fallout of a real crisis: the VW scandal, A second example for the development and fallout of a real crisis: oil shocks - 1970s, A second example for the development and fallout of a real crisis: oil shocks - 2000s, A first example of an anticipation crisis: 1987 - The "Fed Model", A first example of an anticipation crisis: 1987 - The crash, A second example of an anticipation crisis: 2000, The perfect storm: the global financial crisis - Global imbalances, The perfect storm: the global financial crisis - Policy errors, The perfect storm: the global financial crisis - Lax regulation, How do central banks deal with the issue of financial (in)stability? - Course 1 recap, How do central banks deal with the issue of financial (in)stability? - Asset prices, An interview with Prof. Jean-Pierre Danthine
What you will learn in this Module, Building a portfolio the top-down way – Definition, Building a portfolio the top-down way – Use, Building a portfolio the top-down way – Importance, Portfolio construction via bottom-up - UBS guest speaker, Value versus growth, Fundamental or quantitative driven style? - UBS guest speaker, Contrarian versus momentum - Momentum, Contrarian versus momentum - Contrarian, Core & satellite, Thematic investing - UBS guest speaker