dipopotamus/custom_instruct_coursera_course_module_list huggingface dataset:
Course: Accounting Fundamentals
Modules:
Course Introduction, Importance of Accounting, Types of Organizations, Financial Statements, The Accounting Equation
Balancing the Balance Sheet, Double Dipping Practice, Double Dipping Debrief, Recording Transactions Part 1, Recording Transactions Part 2, Adjustments and Balances, Recording Transactions Part 3, Constructing a Balance Sheet Walkthrough, Constructing a Balance Sheet Debrief, Different Balance Sheet Layouts
Constructing an Income Statement, Time and the Income Statement, Matching Principle, Supplies Prepayment, Unearned Revenue, Accruals, Matching Principle Walkthrough, Matching Principle Debrief, Depreciation, Straight Line Depreciation, Double Declining Balance, Units of Production, Calculating Depreciation Walkthrough, Calculating Depreciation Debrief, Building a Balance Sheet and Income Statement Part 1, Building a Balance Sheet and Income Statement Part 2
The Role of the Cashflow Statement, Profit vs. Cash, Direct vs. Indirect Method Part 1, Direct vs. Indirect Method Part 2, The Indirect Method, Changes in Working Capital, Cash Flow from Operations, Investing Activities, Cash Flow from Investing, Financing Activities, Cash Flow from Financing, Construct a Cashflow Statement Walkthrough, Construct a Cashflow Statement Debrief
Summary
Qualified assessment
Course: Researcher's guide to DNA sequencing data
Modules:
Welcome!, Intro to this course, DNA Overview
DNA Sequencing Video, WGS and WXS
Video on basics of DNA Methylation, DNA Methylation
Chromatin Overview
ATAC-seq Overview, Single cell ATAC-seq Overview
ChIP-Seq Overview
Consider Microarrays, About the authors, Tool Glossary
Course: Introduction to Structured Query Language (SQL)
Modules:
Welcome to the Course, Installing MAMP on a Macintosh, Installing MAMP on Windows 10, Installing XAMPP on Windows 10, Bonus: Office Hours in the Hague
Overview of Databases, Basic SQL Operations, Data Types in SQL, Database Keys and Indexes, Bonus: Liz Fong - Standardizing SQL, Bonus: Office Hours Orlando, Florida
Relational Database Design, Normalization and Foreign Keys, Building a Physical Data Schema, Relational Database Design #4, Bonus: Office Hours Houston, TX, Fun: Dr. Chuck gets a Educational Technology Tattoo
Many-to-Many Relationships, Bonus: Office Hours Portland, Oregon
Course: Digital Business Strategy
Modules:
Rise of the Digital Age, Exponential Growth of Three Core Strategies, The Primacy of Data, The Power of Aggregation, The Complementarity Between Prediction and Judgment, The Eternal Challenge of the Strategist, Framework - Setting a Baseline
Platforms in the Digital Age, The Criticality of Network Externalities, The Importance of Enabling Technologies, The Rise of Winner Take All Markets, The Quest for Platform Dominance, The Quest for Platform Dominance - IBM vs Apple, The Dynamics of Competitive Lifecycles, Framework - Analyzing the Digital Environment
Competing in the Digital Age, The Deconstruction of the Value Chain, The New Forms of Value Creation, The Emergence of Novel Business Models, The Evolution in Competitive Positions, The Search for Valuable Positions, Framework - Formulating a Digital Position
Appropriating in the Digital Age, The Folly of Competing on Technology, The Changing Role of Intellectual Property, The Importance of Complementary Assets, The Innovation Imperative, The Return of the Strategist's Challenge, Framework - Specifying How to Capture Value
Course: Sales Training: Inbound Business Strategy
Modules:
Introduction to Inbound Certification, What is inbound?, What is the inbound methodology?, What are the fundamentals of an inbound business?, What is a flywheel?, Combining Funnels and Flywheels, What are the inbound principles?, The inbound methodology and principles, The importance of defining your company's purpose, Identifying your company's purpose, Why do you need to set business goals?, How to set a goal that aligns with your company's purpose, How to prioritize short-term and long-term business goals, How HubSpot aligns its teams behind its goals, Why are buyer personas an important part of your inbound strategy?, How to create a buyer persona, What is the buyer's journey?, How to create a buyer's journey
Why You Need Sales Enablement, Developing a Sales Enablement Strategy, Sales Enablement in Action, The Importance of Having a Vision and Setting Goals, Creating a Revenue Goal, The Importance of Lead Qualification, Identifying Fit and Sales Readiness, Mastering Lead Qualification, The Importance of the Sales and Marketing SLA, Creating an SLA for Your Teams, Optimizing Your SLA, Beyond the SLA, The Importance of Customer Enablement, Helping Customers Fire Their Old Solutions, Encouraging People to Buy From You Again, Helping Your Customers Do the Job They Hired Your Product to Do
Course: Artificial Intelligence Essentials
Modules:
Introduction to Artificial Intelligence Essentials, Module 1 Introduction: Artificial Intelligence Overview, AI in Philosophy I, AI in Philosophy II, Artificial General Intelligence, AI in Science Fiction I, AI in Science Fiction II, Python Review: Overview, Python Review: Objects & Types
Module 2 Introduction: Task Environments & Python Review, Rational Agents I, Rational Agents II, Task Environments, Properties of Task Environments, Python Review: Functions, Python Review: Classes, Python Review: For Loops, Python Review: Imports
Module 3 Introduction: Uninformed Search, Search Problems I, Search Problems II, Why Do We Care About Search?, Search Problem Formulation I, Search Problem Formulation II, Basic Search Algorithms, Uninformed Search Strategies, Reviewing Breadth-First Search & Depth-First Search, Depth-limited Search & Iterative Deepening Search
Module 4 Introduction: Informed Search, Uniform-cost Search, Heuristic Functions, Greedy Best First Search, A* Search I, A* Search II, Properties of A* Search
Course: Gemini for DevOps Engineers - Bahasa Indonesia
Modules:
Memperkenalkan Gemini untuk engineer DevOps, Microservice menjadi mudah dengan Gemini
Course: Software Architecture Patterns for Big Data
Modules:
Introduction to the Course, Introduction to Match Predictor Codebase, Match Predictor Models
Contact Tracing, Direct Exchange, Introduction to Email Verifier Codebase
Performance Testing – Custom Benchmark, Consistent Hash Exchange
CAP Theorem Trade-offs
Course: Getting Started with Data Analytics on AWS
Modules:
Welcome to Getting Started with Data Analytics on AWS, What is Data Analytics?, Most Common Data Analysis Nowadays, Why do Data Analytics in the Cloud?, Popular AWS Services Used for Analytics Solutions, Building a Simple AWS CloudTrail Data Analytics Solution (Part 1), Building a Simple AWS CloudTrail Data Analytics Solution (Part 2), Building a Simple AWS CloudTrail Data Analytics Solution (Part 3), What Else can you do with Data Analytics?, Course Wrap-Up
Course: Writing and Editing: Drafting
Modules:
Introduction, Personalize Your Defaults, Temptation Bundling, Lamott and Elbow, Punctuation and Professionalism: Semicolons, Notes on Nuance: "Simultaneously", Takeaways, Student Takeaways: Garbage in Your Head
Previously On, Previously On: Personalized Defaults, The Planning Fallacy and Buffer or Suffer, Punctuation and Professionalism: Semicolon Substitution, Notes on Nuance: Equal Parts, Takeaways, Student Takeaway: Buffer or Suffer
Previously On, Previously On: The Key to Getting Ahead Is Getting Started, Write Before You Are Ready, Punctuation and Professionalism: Semicolons and Complex Lists, Notes on Nuance: "However", Takeaways, Student Takeaways: Write Before You Are Ready #1, Student Takeaways: Write Before You Are Ready #2
Previously On, To Name is to Know and Remember, Punctuation and Professionalism: Semicolon Deviation, Notes on Nuance: "At Best, At Worst", Takeaways
Course: Mathematics for Machine Learning: PCA
Modules:
Introduction to the course, Welcome to module 1, Mean of a dataset, Variance of one-dimensional datasets, Variance of higher-dimensional datasets, Effect on the mean, Effect on the (co)variance, See you next module!
Welcome to module 2, Dot product, Inner product: definition, Inner product: length of vectors, Inner product: distances between vectors, Inner product: angles and orthogonality, Inner products of functions and random variables (optional), Heading for the next module!
Welcome to module 3, Projection onto 1D subspaces, Example: projection onto 1D subspaces, Projections onto higher-dimensional subspaces, Example: projection onto a 2D subspace, This was module 3!
Welcome to module 4, Problem setting and PCA objective, Finding the coordinates of the projected data, Reformulation of the objective, Finding the basis vectors that span the principal subspace, Steps of PCA, PCA in high dimensions, Other interpretations of PCA (optional), Summary of this module, This was the course on PCA
Course: Introducción a la Valoración financiera
Modules:
Video de introducción, ¿Qué son las tasas de interés y por qué son positivas?, Valores Presente y Futuro de un Flujo de Caja, Valor Presente de múltiples Flujos de Caja, Anualidades y Perpetuidades
Valor Presente Neto (VPN) y Tasa Interna de Retorno (TIR), Los Bonos y sus Tipos, Precio y TIR de un Bono, Bonos, plazos y tasas de descuento
Las Acciones y sus beneficios, Valorización de una Acción, Determinantes del precio de una Acción, Mercados imperfectos y el precio de las acciones
Qué es y qué no es un flujo de caja, Métodos de valorización alternativos al Valor Presente Neto, Un nuevo paradigma para la valorización: Opciones reales, Las 4 preguntas antes de aprobar un proyecto con VPN positivo
Course: Preparing for the Google Cloud Professional Data Engineer Exam en Español
Modules:
Introducción, Aspectos básicos de la certificación Professional Data Engineer, Primeros pasos con Google Cloud y Qwiklabs
Diseño de sistemas de procesamiento de datos, Diseño de representaciones de datos flexibles, Diseño de canalizaciones de datos, Canalizaciones de Cloud Dataflow, Soluciones de BigQuery y Cloud Dataflow, Diseño de una infraestructura de procesamiento de datos, Soluciones de Cloud Pub/Sub, Preguntas del examen de práctica 1, Representaciones, canalizaciones e infraestructura de procesamiento de datos
Compilación de sistemas de procesamiento de datos, Cloud Storage, Cloud SQL y Cloud Bigtable, Compilación y puesta en funcionamiento de canalizaciones, Compilación y puesta en funcionamiento de una infraestructura de procesamiento, Preguntas del examen de práctica 2, Compilación y puesta en funcionamiento de canalizaciones e infraestructuras de procesamiento, Caso de éxito 1, Lab de desafío 1
Análisis y modelos, Implementación de una canalización de AA, Aprendizaje automático, Datos no estructurados y AA, Capacitación y validación, Preguntas del examen de práctica 3, Aprendizaje automático y análisis, Caso de éxito 2, Modelado de procesos de negocio para análisis y optimización, Ingeniería y rendimiento de atributos, Esquema y rendimiento, Canalización y rendimiento, División de trabajos, Rendimiento de Bigtable, Estimación de precios, Requisitos de negocio y optimización, Caso de éxito 3, Lab de desafío 2
Confiabilidad, políticas y seguridad, Preguntas del examen de práctica 4, Visualización de datos y herramientas de informes, Diseño para la seguridad y el cumplimiento, Preguntas del examen de práctica 5, Infraestructura de datos seguros y cumplimiento legal
Recursos y próximos pasos, Test del examen de práctica, Recursos
Course: Mastering Advanced Data and Analytics Features in Tableau
Modules:
Course Introduction, Publishing and Managing Content on Tableau Server, Schedule Data Updates and Create Alerts and Subscriptions, Running Custom SQL Queries on Data, Using Folders to Organize Data, Using Sets to Structure Data, Using Bins and Groups to Structure Data, Customizing and Converting Fields, Using Pivot and Split to Prepare Data, Introducing Tableau Prep Builder, Transforming Data using Tableau Prep Builder
Creating Calculated Fields, Working with Quick Table Calculations, Adding Totals and Customizing Table Calculations, Using the Analytics Feature to Summarize and Customize Data, Using the Analytics Feature to Model Data, Using the Analytics Feature to Forecast Data
Course: Problem-Solving
Modules:
Welcome to Problem-solving!
Practice the solution: Identifying root causes, Infographic: Events and causal factors analysis, Infographic: Ishikawa diagram, Getting to the root of the problem: Key takeaways
Practice the solution: Gathering data for possible solutions, Infographic: Data collection methods, Turning information into options: Key takeaways
Final Thoughts
Course: Entrepreneurship 4: Financing and Profitability
Modules:
Introduction to Financing and Profitability, Business Models, Measuring and Managing CLV, Greylock Partners: Joseph Ansanelli
Financing Pathways, Financing: Rounds and Raises, Equity Financing: Valuation, Equity Financing Terms and Term Sheets
Venture Capital and the Financing of Innovation, Financing: Crowdfunding, Debt Financing, Burn Rate, Breakeven Analysis
Executive Summary and Pitch Deck, Pro Forma Financial Statements, Entrepreneurial Exits, Course Wrap-Up
Course: Cloud Computing Concepts, Part 1
Modules:
Introduction to Cloud Computing Concepts, Part 1, Orientation Towards Cloud Computing Concepts: Some Basic Computer Science Fundamentals, Week 1 Introduction, 1.1. Why Clouds?, 1.2. What is a Cloud?, 1.3. Introduction to Clouds: History, 1.4. Introduction to Clouds: What's New in Today's Clouds, 1.5. Introduction to Clouds: New Aspects of Clouds, 1.6. Introduction to Clouds: Economics of Clouds, 2.1. A cloud IS a distributed system, 2.2. What is a distributed system?, 3.1. MapReduce Paradigm, 3.2. MapReduce Examples, 3.3. MapReduce Scheduling, 3.4. MapReduce Fault-Tolerance, Interview with Sumeet Singh
Week 2 Introduction, 1.1. Multicast Problem, 1.2. The Gossip Protocol, 1.3. Gossip Analysis, 1.4. Gossip Implementations, 2.1.  What is Group Membership List?, 2.2. Failure Detectors, 2.3. Gossip-Style Membership, 2.4. Which is the best failure detector?, 2.5. Another Probabilistic Failure Detector, 2.6. Dissemination and suspicion, 3.1. Grid Applications, 3.2. Grid Infrastucture, Interview with William Gropp
Week 3 Introduction, 1. P2P Systems Introduction, 2. Napster, 3. Gnutella, 4. FastTrack and BitTorrent, 5. Chord, 6. Failures in Chord, 7. Pastry, 8. Kelips, Blue Waters Supercomputer
Week 4 Introduction, 1.1. Why Key-Value/NOSQL?, 1.2. Cassandra, 1.3. The Mystery of X-The Cap Theorem, 1.4. The Consistency Spectrum, 1.5. HBase, 2.1. Introduction and Basics, 2.2. Cristian's Algorithm, 2.3. NTP, 2.4. Lamport Timestamps, 2.5. Vector Clocks, Interview with Marcos Aguilera
Week 5 Introduction, 1.1. What is Global Snapshot?, 1.2. Global Snapshot Algorithm, 1.3. Consistent Cuts, 1.4. Safety and Liveness, 2.1. Multicast Ordering, 2.2. Implementing Multicast Ordering 1, 2.3. Implementing Multicast Ordering 2, 2.4. Reliable Multicast, 2.5. Virtual Synchrony, 3.1. The Consensus Problem, 3.2. Consensus In Synchronous Systems, 3.3. Paxos, Simply, 3.4. The FLP Proof  [OPTIONAL], Interview with Tushar Chandra, Conclusion to Cloud Computing Concepts, Part 1
Course: Machine Learning: an overview
Modules:
Introduction to machine learning, Supervised Learning problem, Regression and Classification problems, Model Selection
Unsupervised Learning: Clustering, Unsupervised Learning: Dimensionality Reduction, Unsupervised Learning: Association Rules
Sequential decision-making problems, Markov decision processes, Reinforcement Learning algorithms
Course: Setting Expectations & Assessing Performance Issues
Modules:
Course Overview, Module 1 Overview, Three Constructs for Performance: Process, People, & Practice, Mission & Purpose, What is Your Sentence?, Expectations Overview, Expectations vs. The Manual, Giving Feedback (Optional), Beginning to Define Expectations, Expectations and Standards, Defining Expectations for Leaders and the Team, Leadership Compass
Module 2 Overview, Key Performance Indicators, Defining Individual Goals, Accountability Defined, Tactical vs. Developmental Accountability, Having an Accountability Conversation, Why Managers are Uncomfortable with Accountability Conversations
Module 3 Overview, Diagnosing and Addressing Performance Gaps, Coaching Algebra, Skillset Coaching, Mindset Coaching, Putting it all Together
Module 4 (Specialization Milestone) Overview, Milestone 1 Overview, Tips for Giving Feedback, Course Summary
Course: FPGA Softcore Processors and IP Acquisition
Modules:
Course Introduction, Create a Soft Processor, Soft Processor Advantages, Soft Processor Flows, Soft Processor Architectures, Part 1, Soft Processor Architectures, Part II, Nios II Development, Part I, Nios II Development, Part 2, Platform Designer Live Demo, Nios II: Compilation, Nios II: Customization
Introduction to Software for Soft Processors, Software for Soft Processors, Introduction to the NIOS IDE, C Programming for Soft Processors, Building C Programs, Programming Soft Processors, Memory in the NIOS II, Accessing Custom instructions
Introduction to IP Cores, Microsemi IP Cores, Intel Altera IP Cores, Xilinx IP Cores, Lattice IP Cores, Intel Altera IP Cores for Qsys
Introducing ModelSim and Simulation for Verification, Basics of RTL Simulation, Simulation with Altera ModelSim, Starting ModelSim from Quartus Prime, Testbenches for Verification, Designing for Simulation, Simulation for Verification, Logic Analysis with SignalTap II
Course: Introduction to Deep Learning
Modules:
Introduction to Deep Learning, Perceptron Definition, Perceptron Training, MLP (multi-layer perceptron), Back Propagation Intro & Chain Rule, Computation Graph
Stochastic Gradient Descent (SGD), Tips to improve SGD, Advanced Optimization Methods, Tips for training neural networks, GPUs in Deep Learning, Introduction to Keras Library
MLP Review, Convolution Layer, Convolution Design Parameters, Why is convolution useful?, Pooling Layer, Multiple Convolution Layer, CNN Review, Factors that made Deep Learning popular, Three basic CNN architectures, Training Tips, Transfer Learning
Introduction to RNN, Training RNN, Limitations of vanilla_RNN, LSTM and GRU
Overview of Unsupervised Approaches in Deep Learning, Autoencoders, Variational autoencoders, Generative Adversarial Networks
Course: Learning Technologies Foundations and Applications
Modules:
Welcome to Learning Technologies Foundations and Applications!
Course Overview and Introducing the Field, Part 1, Course Overview and Introducing the Field, Part 2, Role of Learning Technologies and Career Paths
From the Perspective of Human Resource Development, Can Education Lead Technology? The PLATO Story, What's the Use of Technology in Learning? Introducing Seven e-Affordances
Technology-Enriched and Enabled Learning Environments (TEELE) Overview, Design Models for Learning Technology and E-Learning, Transactional Distance Theory, Assistive Technology and Universal Design, Senior Citizens and Learning Technologies
Module 4 Overview: Cognitive Load Theory and Implications on E-Learning, Cognitive Load Theory, Findings Derived from Cognitive Load Theory, Four-Component/Instructional Design Model
End of Course Survey
Course: Customer Understanding and Digital Marketing Channels
Modules:
Welcome to Digital Marketing Analyst Professional certificate, Introduction to customer understanding and digital marketing channels, Overview of digital marketing, Emerging trends and opportunities in digital marketing, What's It Like?, Customer personas, Marketing funnels, Value propositions, Lanes of marketing transformation, Impact of technology on strategy and engagement, SOSTAC planning framework, Digital marketing summary
Welcome to understanding customer experience insights, Customer experience insights impact to marketing strategies, Use data to create a target audience profile, 5 Human factors design, Using data analytics to create meaningingful customer segments, Internal tools for segmenting customers, External tools for segmenting customers, Connecting customer experience, content marketing and brand storytelling, Customer segmentation, targeting and positioning summary
Introduction business models and solutions, Introduction to eCommerce, Introduction to the 6Ps (or is it 7), Distribution channels and place, Key components of a marketing mix strategy, Other top marketing strategies, Segmentation, targeting, and positioning (STP), Developing a customer lifecycle management plan, Business models and solutions summary
Overview of digital marketing channels, Digital marketing channel: Websites, Digital marketing channel: Social media, Digital marketing channel: Mobile apps, Outbound digital channels, Performance metrics for outbound digital marketing efforts, KPIs for outbound digital tools, Inbound digital tools, Performance metrics for inbound digital tools, Selecting a customer journey map tool, Cross functional collaboration, Aligning the customer journey to optimize experience, The story of how a marketing analyst saved the day!
Course: Driving Operational Performance
Modules:
Introduction to Product Variety and Multiple Flow Units, Setup Times, Product Mix, Processes with Yield Losses, Module Review and Practice Problem
Linking Operations with Finance, KPI and ROIC Trees, How to Build an ROIC Tree, Finding the Value Drivers, Module Review and Practice Problem
Understanding Wait Time, How Variability in Process Causes Waiting, The Waiting Time Formula, Staffing to Demand and Pooling Resources, Strategies to Deal with Waiting Times, Module Review and Practice Problem
Loss, How Variability in Process Flow Reduces Rate, Capacity Pooling, Creating Flexibility and Providing Capacity on Demand, Module Review and Practice Problem
Course: Reliable Cloud Infrastructure: Design and Process dalam bahasa Indonesia
Modules:
Pengantar Kursus, Pengantar Aktivitas: Menentukan studi kasus Anda, Evaluasi Aktivitas: Menentukan studi kasus Anda
Ringkasan Modul, Persyaratan, Analisis, dan Desain, Pengantar Aktivitas: Menganalisis studi kasus Anda, Evaluasi Aktivitas: Menganalisis studi kasus Anda, KPI dan SLI, SLO dan SLA, Pengantar Aktivitas: Menentukan SLI dan SLO, Evaluasi Aktivitas: Menentukan SLI dan SLO, Evaluasi Modul
Ringkasan Modul, Microservice, Praktik Terbaik Microservice, Pengantar Aktivitas: Merancang microservice untuk aplikasi Anda, Evaluasi Aktivitas: Merancang microservice untuk aplikasi Anda, REST, HTTP, API, Pengantar Aktivitas: Mendesain REST API, Evaluasi Aktivitas: Mendesain REST API, Evaluasi Modul
Ringkasan Modul, Pipeline Continuous Integration, Infrastructure as Code, Pengantar Lab: Membangun Pipeline DevOps, Coursera: Mulai Menggunakan Google Cloud Platform dan Qwiklabs, Evaluasi Lab: Membangun Pipeline DevOps, Evaluasi Modul
Ringkasan Modul, Karakteristik Penyimpanan Utama, Pengantar Aktivitas: Menentukan karakteristik penyimpanan, Evaluasi Aktivitas: Menentukan karakteristik penyimpanan, Memilih Google Cloud Storage dan Solusi Data, Pengantar Aktivitas: Memilih layanan data dan penyimpanan Google Cloud, Evaluasi Aktivitas: Memilih layanan data dan penyimpanan Google Cloud, Evaluasi Modul
Ringkasan Modul, Merancang Jaringan Google Cloud, Merancang Load Balancer Google Cloud, Pengantar Aktivitas: Menentukan karakteristik jaringan, Evaluasi Aktivitas: Menentukan karakteristik jaringan, Menghubungkan Jaringan, Pengantar Aktivitas: Membuat diagram jaringan Anda, Evaluasi Aktivitas: Membuat diagram jaringan Anda, Evaluasi Modul
Ringkasan Modul, Infrastructure as a Service Google Cloud, Platform Deployment Google Cloud, Pengantar Lab: Men-deploy Aplikasi ke Google Cloud, Evaluasi Lab: Men-deploy Aplikasi ke Google Cloud, Evaluasi Modul
Ringkasan Modul, Metrik Performa Utama, Mendesain untuk Keandalan, Pengantar Aktivitas: Merancang Aplikasi yang Andal dan Skalabel, Evaluasi Aktivitas: Merancang Aplikasi yang Andal dan Skalabel, Perencanaan Penanganan Bencana, Pengantar Aktivitas: Perencanaan penanganan bencana, Evaluasi Aktivitas: Perencanaan penanganan bencana, Evaluasi Modul
Ringkasan Modul, Konsep Keamanan, Melindungi Pengguna, Mengamankan Akses Mesin, Keamanan Jaringan, Enkripsi, Pengantar Aktivitas: Pemodelan Layanan Google Cloud yang Aman, Evaluasi Aktivitas: Pemodelan Layanan Google Cloud yang Aman, Evaluasi Modul
Ringkasan Modul, Mengelola Versi, Perencanaan Biaya, Dasbor Pemantauan, Pengantar Aktivitas: Perencanaan dan estimasi biaya, Evaluasi Aktivitas: Perencanaan dan estimasi biaya, Pengantar Lab: Memantau Aplikasi di Google Cloud, Evaluasi Lab: Memantau Aplikasi di Google Cloud, Evaluasi Modul, Evaluasi Kursus
Materi Kursus
Course: Electric Vehicle Sensors
Modules:
1: Course and Module Introduction, 2: Types of Electric Vehicles, 3: Battery Electric Vehicle, 4: Hybrid Electric Vehicle, 5: Mild Hybrid Electric Vehicle, 6: Plug-in Hybrid Electric Vehicle, 7: Electric Bus
1: Module Introduction, 2: AC Synchronous Motors, 3: Internal Permanent Magnet - Synchronous Reluctance Motor, 4:  Power and Torque in Synchronous Motors, 5: Transmissions in Electric Vehicles, 6: Traction Inverters
1: Module Introduction, 2: Battery Charging, 3: Battery Modules, 4: Regenerative Braking, 5: Current Measurement, 6: Voltage Measurement
1: Module Introduction, 2: Torque Sensors, 3: Speed Sensors, 4: Thermistors, 5: Teardown of Electronic Device with onboard thermal sensor
Course: Identidad digital: ¿Cómo tener visibilidad académica?
Modules:
Presentación del curso e instructor
Identidad digital, gestión, ventajas y desventajas, Perfil académico, identificador del autor y visibilidad científica, Normalización del nombre de autor
ORCID. Generalidades, ORCID. Registro de nuevo perfil, ORCID. Familiarización con la plataforma. Parte 1, ORCID. Familiarización con la plataforma. Parte 2, ORCID. Familiarización con la plataforma. Parte 3, ORCID. Familiarización con la plataforma. Parte 4
ResearchGate. Generalidades, ResearchGate. Registro de nuevo perfil, ResearchGate. Familiarización con la plataforma. Parte 1, ResearchGate. Familiarización con la plataforma. Parte 2, ResearchGate. Familiarización con la plataforma. Parte 3, ResearchGate. Familiarización con la plataforma. Parte 4
Google Scholar (Google Académico) y Scopus. Generalidades, Google Scholar (Google Académico).  Registro de nuevo perfil, Google Scholar (Google Académico). Familiarización con la plataforma. Parte 1, Google Scholar (Google Académico).  Familiarización con la plataforma. Parte 2, Scopus. Registro de nuevo perfil, Scopus. Familiarización con la plataforma
Course: إدارة المواهب
Modules:
01.01 - ترحيب ومقدمة إلى قناة إمداد المواهب, 01.02 - الاستراتيجية أولاً وتخطيط الموارد البشرية, 01.03 - التوظيف وعلامتك التجارية للتوظيف, 01.04 - طرق التوظيف, 01.05 - الاختيار, 01.06 - اختيار المواهب في Menlo Innovations, 01.07 - التأهيل, 01.08 - اختيار المواهب في Menlo Innovations
02.01 - لماذا إدارة وتقييم الأداء المُمَنهج؟, 02.02 - قياس النتائج والسلوكيات, 02.03 - تأثيرات أنظمة قياس الأداء, 02.04 - جيف برودسكي حول التوزيعات القسرية, 02.05 - ريتش شيريدان حول التوزيعات القسرية, 02.06 - الملاحظات الشاملة, 02.07 - استخدام الملاحظات الشاملة, 02.08 - تلقي وطلب الملاحظات الشاملة, 02.09 - أخطاء المقيمين, 02.10 - الأنماط المتكررة في تقييمات الأداء, 02.11 - الخلاصة
03.01 - تجربتك الأكثر تنموية, 03.02 - دراسة الجدوى لتنمية قدرات المواهب, 03.03 - تقييم محركات الأداء الرئيسية, 03.04 - هل تريد تقييم نقاط الضعف أم نقاط القوة؟, 03.05 - خمسة أسئلة للمساعدة في إنشاء "توسيع" التجارب, 03.06 - استخدام المهام الموسعة لتنمية قدرات الموظفين, 03.07 - المشاركة الواعية كأداة للإعداد للتجارب "الموسعة", 03.08 - المشاركة الواعية أثناء التجربة "الممتدة", 03.09 - تنمية قدرات المواهب من خلال التجارب الموسعة, 03.10 - المساعدة في بناء مجلس إدارة شخصي, 03.11 - أهمية الموجّهين والجهات الراعية, 03.12 - قوة التأمل المنظّم لقيادة التعلم, 03.13 - سبب ضرورة أن تكون مدربًا جيدًا, 03.14 - 6 خطوات للتدريب الفعال, 03.15 - سبعة أسئلة رئيسية حول التدريب, 03.16 - الخلاصة: تنمية قدرات موظفيك وتدريبهم
04.01 - ما الموهبة؟, 04.02 - النموذج A3E2, 04.03 - إدارة المواهب, 04.04 - إعداد خطة لكل شخص, 04.05 - مشاركة المواهب, 04.06 - أنظمة رأس المال البشري وإعداد خطة للقادة المستقبليين, 04.07 - الأشخاص هم كل شيء
Course: System Administration and IT Infrastructure Services
Modules:
Course Introduction, What is Systems Administration?, Servers Revisited, The Cloud, Organizational Policies, IT Infrastructure Services, User and Hardware Provisioning, Routine Maintenance, Vendors, Troubleshooting and Managing Issues, In Case of Fire, Break Glass, Dion: My Michelle Obama story, With Great Power Comes Great Responsibility, Never Test in Production, Assessing Risk, Fixing Things the Right Way
What are IT Infrastructure Services?, The Role of IT Infrastructure Services in SysAdmin, Types of IT Infrastructure Services, Heather: My first job in tech, Server Operating Systems, Virtualization, Remote Access Revisited, FTP, SFTP, and TFTP, NTP, Network Support Services Revisited, DNS, DNS for Web Servers, DNS for Internal Networks, DHCP, Unable to Resolve a Hostname or Domain Name, What do Services Look Like in Action, Managing Services in Linux, Managing Services in Windows, Configuring Services in Linux, Configuring Services in Windows, Configuring DNS with Dnsmasq, Configuring DHCP with Dnsmasq
Module Introduction, Communication Services, Email Protocols, User Productivity Services: Agreements and Licenses, Web Server Security Protocols, Heather: Managing self-doubt, What are file services?, Network File Storage, Mobile Synchronization, Configuring Print Services, Web Servers Revisited, What is a database server?, Is the website down?, Cloud Concepts, Typical Cloud Infrastructure Setups, When and How to Choose Cloud
Module Introduction, What is a directory server?, Implementing Directory Services, What is centralized management?, What is LDAP?, What is LDAP Authentication?, Heather: Overcoming obstacles, What is Active Directory?, Managing Active Directory, Managing Active Directory Users and Groups, User Accounts and Groups, Managing Active Directory User Passwords, Joining an Active Directory Domain, Group Policy: Group Policy Object (GPO), Group Policy Creation and Editing, Group Policy Inheritance and Precedence, Group Policy Troubleshooting, Group Policy Troubleshooting: Common Issues, Mobile Device Management (MDM), What is OpenLDAP?, Managing OpenLDAP
Module Introduction, What is Data Recovery?, Backing Up Your Data, Backup Solutions, Job transition, Testing Backups, Types of Backup, User Backups, What's a Disaster Recovery Plan?, Designing a Disaster Recovery Plan, What's a post-mortem?, Writing a Post-Mortem, Interview Role Play: Sys Admin
Final Project Introduction, Alex: How passion turned into success, Congratulations!
Course: Compliance and Risk Management
Modules:
HRCI Human Resources Associate Professional Certificate Introduction, Course Overview: Compliance and Risk Management, Instructor Introduction - Rachel, Instructor Introduction - Michelle, Weekly Introduction: Introduction to Compliance and Risk Management, Introduction to Risk Management, Risk Management: The Four Stages, Risk Management Responsibilities and Knowledge, Risk Assessment, Positive and Negative Risks, Risk Mindset, Approaching Risk Management With a Positive Mindset, Approaching Risk Management With a Negative Mindset, Introduction to Compliance, Compliance in Ongoing Operations, Compliance as a Method to Sustain an Organization, Organizations that Monitor Compliance, Legal vs. Organizational Compliance, Weekly Review: Introduction to Compliance and Risk Management
Weekly Introduction: Application and Design of Legal and Safety Compliance, Laws and Regulations, Executive Orders, Common Law Doctrines, Intro to EEO, Identifying Discrimination, EDI, Example: Identifying Discrimination, Affirmative Action, Elements of Affirmative Action Programs, Introduction to Employee Relations Laws, Patents and Copyrights, Unions and Labor Relations, Types of Unions, Laws and Regulations in Compensation and Benefits, Weekly Review: Hiring and Employee Relations
Weekly Introduction: Health and Safety Regulations, Introduction to HR and Workplace Health and Safety, Occupational Safety and Health Administration, OSHA Standards, OSHA Investigations, Safety and Health Issues in the Workplace, Common Employee Behavior Issues, Alcohol and Legal Drug Use, Laws and Regulations in Health, Environmental Hazards, Safety Campaigns and Programs, Safety and Health Management Plans, Vulnerabilities of Physical Security, Information Security, Confidentiality and Privacy, Example: HR and Workplace Hazards and Threats, Harassment and Hostile Work Environments, Quid Pro Quo Harassment, Hostile Work Environment, Preventing Sexual Harassment, Investigating Sexual Harassment, Weekly Review: Health and Safety Restructuring
Weekly Introduction: Compliance Strategy and Implementation, Introduction to Organizational Restructuring, HR's Role in Restructuring, Offshoring and Outsourcing, Example: Role of HR in Organizational Restructuring, Introduction to Business Continuity, Divestitures, Furloughs, Weekly Review: Compliance Strategy and Implementation
Weekly Introduction: Compliance and Risk Management Training, Formal Risk Management Policies, Common Risk Management Policies for Business Continuity, Example: Risk Management Policies, New Hire Onboarding, Ongoing Training, Compliance Training by Law, Weekly Review: Compliance and Risk Management Training, Congratulations!
Course: Service-Oriented Architecture
Modules:
4.1.1 – Introduction to Service-Oriented Architecture, 4.1.2 – Service Principles, 4.1.3 - Web Systems Evolution, 4.1.4 – Web Systems Architecture, 4.1.5 – HTML / XML / JSON, 4.1.6 – HTTP, 4.1.7 – JavaScript, 4.1.8 – Remote Procedure Call (RPC), 4.1.9 – Object Brokers
4.2.1 – Introduction to Web Services, 4.2.2 – Service Invocation (SOAP), 4.2.3 – Service Description (WSDL), 4.2.4 – Service Publication and Discovery (UDDI), 4.2.5 – Service Composition (BPEL)
4.3.1 – Introduction to REST, 4.3.2 – Designing a REST Service, 4.3.3 – Introduction to Microservices
Capstone Assignment 4.2 - Connect app to Elasticsearch, Discussion: Last Word – Service Oriented Architecture, Acknowledgements
Course: Bayesian Statistics
Modules:
Introduction to Statistics with R
The Basics of Bayesian Statistics, Conditional Probabilities and Bayes' Rule, Bayes' Rule and Diagnostic Testing, Bayes Updating, Bayesian vs. frequentist definitions of probability, Inference for a Proportion: Frequentist Approach, Inference for a Proportion: Bayesian Approach, Effect of Sample Size on the Posterior, Frequentist vs. Bayesian Inference
Bayesian Inference, From the Discrete to the Continuous, Elicitation, Conjugacy, Inference on a Binomial Proportion, The Gamma-Poisson Conjugate Families, The Normal-Normal Conjugate Families, Non-Conjugate Priors, Credible Intervals, Predictive Inference
Decision making, Losses and decision making, Working with loss functions, Minimizing expected loss for hypothesis testing, Posterior probabilities of hypotheses and Bayes factors, The Normal-Gamma Conjugate Family, Inference via Monte Carlo Sampling, Predictive Distributions and Prior Choice, Reference Priors, Mixtures of Conjugate Priors and MCMC, Hypothesis Testing: Normal Mean with Known Variance, Comparing Two Paired Means Using Bayes' Factors, Comparing Two Independent Means: Hypothesis Testing, Comparing Two Independent Means: What to Report?
Bayesian regression, Bayesian simple linear regression, Checking for outliers, Bayesian multiple regression, Model selection criteria, Bayesian model uncertainty, Bayesian model averaging, Stochastic exploration, Priors for Bayesian model uncertainty, R demo: crime and punishment, Decisions under model uncertainty
Bayesian inference: a talk with Jim Berger, Bayesian methods and big data: a talk with David Dunson, Bayesian methods in biostatistics and public health: a talk with Amy Herring
Project information
Course: Supply Chain Analytics Essentials
Modules:
Why Supply Chain Analytics?, My Journey in Supply Chain Analytics, The Talent Crisis, Topics and Weekly Schedule
K-Mart vs Wal-Mart, Dell vs Compaq, Wal-Mart vs. Amazon, Analytics Is Critical To Supply Chain Management, Supply Chain Domains
Demand Planning, Product Selection, Pricing & Promotion, Fulfillment Diagnostics, Distribution & Logistics Planning, Transportation Management, Production Planning, Workforce Management, Inventory Management, Strategic Sourcing, Supplier Management, Order Management
Supply Chain Analytics - Job Opportunities, Requirement & Preparation, Job Analysis: Overview, Job Analysis by Region - Where to Locate?, Job Analysis by Industry - Which Industry to Enter?, Job Analysis by Company - Which Company to Work for?, Screenshots: Create A New Project, Screenshots: Business GEOINFO, Screenshots: Industry Analysis and Enterprise Diagnosis, Screenshots: Navigator and Supply Chain Mapping, Screenshots: Preview, Share and Cite
Course: Funciones algebraicas y trascendentes
Modules:
Noción generalizada de función. Regla de correspondencia, dominio y rango. Situaciones que modelan funciones polinomiales, Notación de función e intervalos, Raíces de multiplicidad par e impar, División sintética, Teorema del residuo, Teorema del factor y su recíproco, Ceros de la función. Raíces reales. Graficación de funciones, Problemas de aplicación, Tutorial GeoGebra
Funciones racionales y con radicales. Parte 1, Funciones racionales y con radicales. Parte 2
Funciones con radicales. Parte 1, Funciones con radicales. Parte 2
Exponenciales. Parte 1, Exponenciales. Parte 2, Exponenciales. Parte 3, Logarítmica. Parte 1, Logarítmica. Parte 2, Logarítmica. Parte 3
Medidas angulares en grados y radianes. Conversiones, Razones trigonométricas: seno, coseno y tangente para cualquier ángulo. Funciones trigonométricas. Parte 1, Razones trigonométricas: seno, coseno y tangente para cualquier ángulo. Funciones trigonométricas. Parte 2, Sobre las Funciones trigonométricas del seno y coseno, Más sobre las funciones trigonométricas: estudiemos sus parámetros, Problemas de aplicación, situaciones o fenómenos de variación periódica
Course: 東亞儒家：人文精神二(East Asian Confucianisms: Humanism (2))
Modules:
（8-1）引言, （8-2）思考生命課題的理論基礎與出發點, （8-3）生命的核心價值：「無為」, （8-4）生命核心價值在世界的實踐, （8-5）理想世界之建構, （8-6）結論
（9-1）引言, （9-2）佛教基本思想及其東來, （9-3）禪宗思想中的「生命智慧」, （9-4）結論：禪宗人文思想的21世紀新啟示
（10-1）引言、（10-2）生命的本質(1)：空性及其原因, （10-3）生命的本質(2)：「有」「空」不二, （10-4）生命的本質(3)：「諸法空相」, （10-5）生命的目標(1)：不住世間、超越生死, （10-6）生命的目標(2)：超越生死輪迴，安住般若智慧, （10-7）與儒家生命觀的對比
（11-1）引言, （11-2）21世紀全球化趨勢：表象與實質, （11-3）21世紀全球化趨勢及其核心問題, （11-4）朱子思想中「個人」與「世界」之關係, （11-5）全球化時代朱子「理一分殊」說的新啟示, （11-6）結論：在諸多「理」之中求同存異
（12-1）引言, （12-2）孔孟思想中「仁」的涵義, （12-3）朱子〈仁說〉的內涵及其義理架構, （12-4）德川日本儒者的迴響(1)：形上學的解構, （12-5）德川日本儒者的迴響(2)：在社會政治脈絡中釋「仁」, （12-6）朝鮮儒者的迴響：丁茶山在「互為主體性」中「仁」, （12-7）結論
（13-1）引言, （13-2）先秦儒家「仁政」論述的提出與中國思想史中「仁」學的內涵, （13-3）儒家「仁政」論述的展開：日本與朝鮮, （13-4）東亞儒家「仁政」論述的理論問題, （13-5）結論
（14-1）引言, （14-2）中國傳統史學中「事實」與「價值」的辨證關係, （14-3）傳統中國歷史撰寫的特徵., （14-4）傳統史學中的「時間」觀念與人文精神的建立
（15-1）引言, （15-2）儒學在戰後臺灣發展的三個面向, （15-3）當代新儒家的核心課題：主體性的客觀化如何可能？, （15-4）結論
（16-1）引言、（16-2）儒家人文精神的人性論基礎及其核心價值, （16-3）儒道人文精神的比較, （16-4）儒佛人文精神的比較, （16-5）結論
Course: Advanced Application Management with Red Hat OpenShift
Modules:
Course Introduction, Developing Applications with VSCode, Guided Exercise: Developing Applications with VSCode, Software Version Control, Source Control in VSCode, Guided Exercise: Initializing a Git Repository, Managing Application Source Code with Git, Collaboration Strategies Using Git, Git Branching in VS Code, Guided Exercise: Managing Application Source Code with Git
Introducing OpenShift Container Platform, Introducing the Developer Web Console for OpenShift, Guided Exercise: Deploying an Application to Red Hat OpenShift Container Platform
Updating an Application, Guided Exercise: Updating an Application, Configuring Application Secrets, Guided Exercise: Configuring Application Secrets, Connecting an Application to a Database, Guided Exercise: Connecting an Application to a Database
Guided Exercise: Scaling an Application
Troubleshooting and Fixing an Application, Guided Exercise: Troubleshooting and Fixing an Application
Describing Kubernetes and OpenShift Architecture, Creating Kubernetes and OpenShift Resources, Guided Exercise: Deploying a Database Server on OpenShift, Creating Routes, Guided Exercise: Exposing a Service as a Route, Creating Applications with Source-To-Image, Guided Exercise: Creating a Containerized Application with Source-to-Image
Conclusion
Course: Patrocinio Deportivo
Modules:
Qué es un curso MOOC, Introducción al MOOC de Patrocinio Deportivo
Presentación del módulo 1, Principios básicos del patrocinio, Diferencias entre el patrocinio y el mecenazgo, Características y diferencias entre patrocinio y mecenazgo, Vídeo: Entrevista a Pati Roura - Directora de la Fundación Cruyff
Presentación del módulo 2, Los principales objetivos del patrocinador, Los Stakeholders en el patrocinio, El patrocinio desde la propiedad - Entrevista a Albert Amat, Qué hace exitoso un evento deportivo - Entrevista a Joan Porcar. Interesante para entender porqué un patrocinador puede patrocinar un evento., Patrocinio desde una marca: Zurich Maratón. Entrevista a Cinto Ajram. Interesante para entender porqué un patrocinador patrocina un evento.
Presentación del módulo 3, Activación del patrocinio, Entrevista con Annamari Basora. Directora de Comunicación y Patrocinio en La Vanguardia., Rins van Kouwen sobre deportistas y redes sociales
Presentación del módulo 4, Activación del patrocinio (2a parte)
Formulario de participación en el concurso
Course: Bacterial Bioinformatics
Modules:
Instructor introduction, History of BV-BRC and the BRC program, BV-BRC overview - tabs and information, Registering and logging on to BV-BRC, PATRIC workspace-Create Shared Workspace, Sharing a genome with other PATRIC users, Copying a genome annotation job  to a shared workspace
Introduction to genome assembly, Uploading read files to the workspace for assembly, Submitting reads to the Genome Assembly Service, Selecting assembly strategies and submitting the assembly job, Monitoring the assembly job and reviewing job results, Genome coverage in Genome Report, Assembly questions and getting help with problems
Introduction to genome annotation in PATRIC, Uploading contig files to the PATRIC workspace, Submitting a job to the PATRIC Genome Annotation Service, Reviewing the resulting Genome Report, Downloading the generated files, Viewing your annotated genome in PATRIC, Finding help or reporting problems with the service
Introduction to Comprehensive Genome Analysis in PATRIC, Submitting a job using reads, Submitting contigs, Full Genome Report, Job Results, Assembly results, Annotation results, Viewing annotated genome, Finding help and citing, Hybrid Assembly Summary
Introduction to codon trees, Creating genome groups for building codon trees, Submitting the tree-building job, Reviewing the codon tree report, Accessing codon tree files in the jobs folder, Removing problem genomes from groups, Using the Protein Family Sorter to improve the tree, Viewing the tree in FigTree, Finding help and citing PATRIC
Launching a search using a genome, Launching a search using a contig file, Launching a search using a fastq file, Finding help and citing PATRIC
Introduction to Protein Family Sorter, Using Global Search, Creating a genome group, Submitting a Protein Family Sorter Service analysis job, Protein Family Sorter tabular results, Filtering tabular results, Heatmap filtering, Heatmap clustering, Anchoring and downloading heatmap data, Using the Feature Table and Compare Region Viewer, Downloading sequences from Feature Table and viewing in the Genome Browser, BLASTing a genomic region, Protein Family Sorter summary
Introduction to Proteome Comparison, Selecting parameters, Selecting a reference genome, Using a feature group or FASTA file as input, Using a feature group as the reference, Using a FASTA file as the reference, Selecting the genomes to use for the comparison, 3 flavors of reference genomes, Reviewing the output job results, Citing PATRIC and getting help, Summary of analysis of two assembly strategies
Course: The Strategy of Content Marketing
Modules:
The Strategy of Content Marketing Introduction, Module Introduction, What Should Content Do?, Overview of the Structure for Effective Content, Building Your Professional Brand, Tips for Building Your Professional Brand, I Have My Site, Now What?, Interview with Stefanie Flaxman - Editor-in-Chief, Interview with Stefanie Flaxman - Content Calendar
The Strategic Context (7A Framework), Overview of the 7A Framework, The First 2 A's of the Framework: Agility & Authenticity, Stealing Headlines for Attention, Capturing Audience Attention, Actions Steps 1, 2, 3, Call-to-Action & Risk Reversal, Expanding Your Network, Your "About" Page, The Last 2 A's of the Framework: Authority & Audience
Mapping the Journey: Crafting a Content Marketing Strategy, Mapping the Journey, Empathy Maps, Experience Maps, Two Keys to Creating Irresistible Content
The Strategic Types of Content, Attraction Content, Affinity Content, Action Content, Making Action Content Actionable, Authority Content
Managing Your Content, Ethics and Professionalism, Plagiarism and Copyright Law, Introduction to Metrics, What Data Should I Pay Attention To?, Multimedia Content - Visuals, Multimedia Content - Audio and Video, Course Summary
Course: Web of Data
Modules:
Introduction, Welcome video by Fabien Gandon, Historical Introduction to the Web Architecture, Separating Presentation and Content, From Pages to Resources, Linked Data Principles, Stack of Standards and Languages, The BBC Web site uses linked (open) data, DBpedia at the heart of the linked open data cloud, Searching the Web of data, Open Calais: From natural language to linked data, When software agents access the Web of data, Linked Data for Exploratory Search, Take Away Week 1
Describing Resources, Triple Model and Graph Model, Serialization Syntaxes, Values, Types and Languages, Representing groups, Naming Graphs, RDF Schema, Validating and Translating RDF Data, Visualization of RDF Graphs, Take Away Week 2
RDF Graph Pattern Matching, Statements, Filter, Constraint and Function, Pre and Post Processing, Several Query Forms, Results and Update, Flint SPARQL Editor, Corese, Gephi and Corese to analyze data on the Web, QAKIS.org, Take Away Week 3
RDFa: an RDF syntax inside HTML, GRDDL: extract RDF from X(HT)ML, JSON-LD: JSON syntax for RDF, Tabular data and metadata (CSV), R2RML: integration with databases, LDP: a REST API to linked data, Augmenting Web browser with data in the pages, RDFa distiller, JSON-LD from Google Knowledge Graph API, Licentia: a Web site to choose the license of your data, Take away Week 4, Conclusion
Course: Translation in Practice
Modules:
Why Translate, What Is Translation, What Is Good Translation
Four-Step Translation Process, Gathering Background Information, Deciding on the Word Meaning, Looking for Appropriate Expressions
Identifying Specialized Vocabulary, Analyzing Grammar and Logic, Making Conversions, Adding or Omitting Words, Phrases, Clauses, Considering Connotations and Tones, Being Flexible
Changing the Word Order, Keeping the Word Order, Dividing a Sentence, Combining Sentences
Cultivating Cultural Awareness, Translating Idioms within the Cultural Context, Translating Advertisements with the Target Culture in Mind
Translating Scientific Writings, Translating Legal Documents, Translating Public Speeches, Translating Literary Works