Online Courses and Tutorials

Onlinecourses.tech provides you with the latest online courses information by assisting over 45,000 courses and 1 million students.

Learn programming, marketing, data science and more.

Get started today

Skip to main content

Featured Post

Machine Learning

Master machine learning fundamentals in four hands-on courses

About This Specialization This Specialization from leading researchers at the University of Washington introduces you to the exciting, high-demand field of Machine Learning. Through a series of practical case studies, you will gain applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, and Information Retrieval. You will learn to analyze large and complex datasets, create systems that adapt and improve over time, and build intelligent applications that can make predictions from data. Created by: Industry Partners: 4 courses Follow the suggested order or choose your own. Projects Designed to help you practice and apply the skills you learn. Certificates Highlight your new skills on your resume or

Multimodal Literacies: Communication and Learning in the Era of Digital Media

Multimodal Literacies: Communication and Learning in the Era of Digital Media

About this course: This course introduces innovative approaches to learning and teaching, with a focus on the use of e-learning and social web technologies.

Created by:   University of Illinois at Urbana-Champaign

  • Dr William Cope
    Taught by:    Dr William Cope, Professor
    Department of Education Policy, Organization & Leadership, College of Education

  • Dr Mary Kalantzis
    Taught by:    Dr Mary Kalantzis, Dean
    College of Education
Language
English
How To PassPass all graded assignments to complete the course.
User Ratings
Average User Rating 4.5See what learners said
Syllabus
WEEK 1
Module 1: Course Orientation + Multimodal Meaning and Synesthesia
This module introduces the key ideas of the course: communication, representation (or making meanings for oneself as an aid to thinking), and the design of meaning. Today, our tools for communication and representation have been widely expanded by digital tools. For these reasons, we need to extend our literacy pedagogy to encompass literacies in the plural, including a wider range of modes of meaning than alphabetic text alone.

4 videos7 readings1 reading
  1. Reading: Syllabus
  2. Reading: Task Overview - How to Pass This Course
  3. Reading: About the Discussion Forums
  4. Practice Quiz: Orientation Quiz
  5. Video: 8.1 Introduction - Representation, Communication and Design
  6. Reading: "Regimes of Literacy," Kalantzis and Cope
  7. Discussion Prompt: Getting to Know Your Classmates
  8. Reading: Updating Your Profile
  9. Reading: Social Media
  10. Video: 8.2 Design and Multimodality
  11. Video: 8.3 A Grammar of Multimodal Meaning
  12. Video: 8.4 Synesthesia or Mode Switching
  13. Reading: Related Readings
  14. Discussion Prompt: Essential Update #1
Graded: Essential Peer Reviewed Update #1
WEEK 2
Module 2: Making Meaning by Reading + Making Meaning by Writing + Making Visual Meaning
This module begins with an overview of the conventional focus of literacy pedagogy – reading and writing. In its second half, the module applies a parallel set of tools to analysis of visual meanings. 

16 videos3 readings
  1. Video: 9.1 Learning to Read: Phonics
  2. Video: 9.2 Learning to Read: Reading for Meaning
  3. Reading: Related Readings
  4. Discussion Prompt: Optional Update #2
  5. Peer Review: Optional Peer Reviewed Update #2
  6. Video: 10.1 The Nature of Writing
  7. Video: 10.2 Traditional Grammar and Its Impossibilities
  8. Video: 10.3 Chomsky’s Grammar
  9. Video: 10.4 Halliday’s Grammar
  10. Video: 10.5 A Grammar of Multiliteracies
  11. Video: 10.6 The Writing Process
  12. Reading: Related Readings
  13. Discussion Prompt: Essential Update #3
  14. Video: 11.1 The Contemporary Significance of Visual Meanings
  15. Video: 11.2 Designs of Visual Meanings
  16. Video: 11.3 Perceptual Images and Mental Images
  17. Video: 11.4 A Grammar of the Visual
  18. Video: 11.5 Deconstructing Images
  19. Video: 11.6 Image Making as Design
  20. Video: 11.7 Parsing Images
  21. Video: 11.8 Multimodal Pedagogy in Practice
  22. Reading: Related Readings
  23. Discussion Prompt: Optional Update #4
  24. Peer Review: Optional Peer Reviewed Update #4
Graded: Essential Peer Reviewed Update #3
WEEK 3
Module 3: Making Spatial, Tactile, and Gestural Meanings + Making Audio and Oral Meanings + Literacies to Think and to Learn
In this third module of the course, we examine spatial, tactile, gestural, audio, and oral meanings – all today part of a wider repertoire of teaching and learning that we call "literacies" in the plural, or "multiliteracies." In the final section of the module, we explore how we use literacies to think in characteristically "academic" ways. In this sense, literacies play a critical supportive role in the learning process.

13 videos3 readings
  1. Video: 12.1 Spatial, Tactile, and Gestural Meanings
  2. Video: 12.2 A Grammar of Spatial Meaning
  3. Video: 12.3 Tactile Meanings
  4. Video: 12.4 A Grammar of Tactile Meaning
  5. Video: 12.5 Gestural Meanings
  6. Video: 12.6 A Grammar of Gestural Meanings
  7. Reading: Related Readings
  8. Discussion Prompt: Optional Update # 5
  9. Peer Review: Optional Peer Reviewed Update # 5
  10. Video: 13.1 Making Audio Meanings
  11. Video: 13.2 Making Meanings Using Oral Language
  12. Video: 13.3 Synesthesia and Mode Shifting Between Oral and Written Meanings
  13. Video: 13.4 Classroom Discussion in Speech and Writing
  14. Reading: Related Readings
  15. Discussion Prompt: Essential Update #6
  16. Video: 14.1 Literacies to Think and to Learn
  17. Video: 14.2 On Human Meaning Systems
  18. Video: 14.3 Academic Literacies as Ways of Thinking
  19. Reading: Related Readings
  20. Discussion Prompt: Optional Update #7
  21. Peer Review: Optional Peer Reviewed Update #7
Graded: Essential Peer Reviewed Update #6
WEEK 4
Module 4: Literacies and Learner Differences + Literacies Standards and Assessment
The final module of the course examines the question of learner differences – including literacies learning at different age levels and second language learning. We also explore strategies for differentiated instruction. Finally, we investigate the range of assessment strategies that can be used to diagnose learner needs, offer feedback during the learning process, and evaluate learning outcomes.

13 videos2 readings
  1. Video: 15.1 Literacies and Learner Differences
  2. Video: 15.2 The Effects of Learner Differences
  3. Video: 15.3 Literacies Learning and Development
  4. Video: 15.4 Recognizing Learner Differences in Literacies Pedagogy
  5. Video: 15.5 Complexities of Learner Differences
  6. Video: 15.6 Differentiated Literacies Instruction
  7. Reading: Related Readings
  8. Discussion Prompt: Essential Update #8
  9. Video: 16.1 Approaches to Literacy Standards and Assessment
  10. Video: 16.2 Standardized and Norm-referenced Assessment
  11. Video: 16.3 Criterion Referenced Assessment
  12. Video: 16.4 Progress Assessment
  13. Video: 16.5 Select and Supply Response Assessments
  14. Video: 16.6 Rubric-Based Peer and Formative Assessment
  15. Video: 16.7 Big Data and the Future of Assessment
  16. Reading: Related Readings
  17. Discussion Prompt: Optional Update #9
  18. Peer Review: Optional Peer Reviewed Update #9
  19. Peer Review: Optional Work 1: Educational Theory
  20. Peer Review: Optional Work 2A: Learning Practice Case Study
  21. Peer Review: Optional Work 2B: Design a Learning Module
Graded: Essential Peer Reviewed Update #8
How It Works
Coursework
Coursework
Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.
Help from Your Peers
Help from Your Peers
Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.
Certificates
Certificates
Earn official recognition for your work, and share your success with friends, colleagues, and employers.
Creators
University of Illinois at Urbana-Champaign
The University of Illinois at Urbana-Champaign is a world leader in research, teaching and public engagement, distinguished by the breadth of its programs, broad academic excellence, and internationally renowned faculty and alumni. Illinois serves the world by creating knowledge, preparing students for lives of impact, and finding solutions to critical societal needs.

Comments

Popular posts from this blog

Big Data Hadoop Certification Training

Big Data Hadoop training will make you an expert in HDFS, MapReduce, Hbase, Hive, Pig, Yarn, Oozie, Flume and Sqoop using real-time use cases on Retail, Social Media, Aviation, Tourism, Finance domain. You will get Hadoop certification at the end of the course

About the Training
This Hadoop training is designed to make you a certified Big Data practitioner by providing you rich hands-on training on Hadoop ecosystem and best practices about HDFS, MapReduce, HBase, Hive, Pig, Oozie, Sqoop. This course is stepping stone to your Big Data journey and you will get the opportunity to work on a Big data Analytics project after selecting a data-set of your choice. You will get Hadoop certification after the project completion.

Training Objectives
The hadoop training is designed to help you become a top Hadoop developer. During this course, our expert instructors will train you to: Master the concepts of HDFS and MapReduce frameworkUnderstand Hadoop 2.x ArchitectureSetup Hadoop Cluster and write Co…

Hands-on Text Mining and Analytics by Yonsei University

About this course: This course provides an unique opportunity for you to learn key components of text mining and analytics aided by the real world datasets and the text mining toolkit written in Java. Hands-on experience in core text mining techniques including text preprocessing, sentiment analysis, and topic modeling help learners be trained to be a competent data scientists. Empowered by bringing lecture notes together with lab sessions based on the y-TextMiner toolkit developed for the class, learners will be able to develop interesting text mining applications.



LevelIntermediateLanguage English, Subtitles: Chinese (Simplified) How To PassPass all graded assignments to complete the course.
Syllabus

Learn to Program and Analyze Data with Python

About This Specialization This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization. Created by: 5 courses Follow the suggested order or choose your own. Projects Designed to help you practice and apply the skills you learn. Certificates Highlight your new skills on your resume or LinkedIn. Courses

Deep Learning Specialization

Master Deep Learning, and Break into AI
About This Specialization If you want to break into AI, this Specialization will help you do so. Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning. In five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach. You will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice. AI is transforming m…

Launch Your Career in Data Science

A nine-course introduction to data science, developed and taught by leading professors.
About This Specialization Ask the right questions, manipulate data sets, and create visualizations to communicate results. This Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material. Created by: Industry Partners: 10 courses Follow the suggested order or choose your own. Projects Designed to help you practice and apply the skills you learn.

Master of Computer Science in Data Science

A flexible and affordable degree from one of the top Computer Science programs in the world, focused on one of the hottest fields of the new millennium

Enroll in the Master of Computer Science in Data Science (MCS-DS) and gain access to the computational and statistical knowledge needed to turn big data into meaningful insights. Build expertise in four core areas of computer science—data visualization, machine learning, data mining, and cloud computing—while learning key skills in statistics and information science. This completely online degree is an affordable gateway to one of the most lucrative and fastest growing careers of the new millennium. The MCS-DS is offered by CS @ ILLINOIS, a U.S. News & World Report top five CS graduate program, in collaboration with the University’s Statistics Department and top-ranked iSchool. Join our alumni network of entrepreneurs, educators, and technical visionaries, who have revolutionized the way people communicate, shop, conduct business,…

Machine Learning

Master machine learning fundamentals in four hands-on courses

About This Specialization This Specialization from leading researchers at the University of Washington introduces you to the exciting, high-demand field of Machine Learning. Through a series of practical case studies, you will gain applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, and Information Retrieval. You will learn to analyze large and complex datasets, create systems that adapt and improve over time, and build intelligent applications that can make predictions from data. Created by: Industry Partners: 4 courses Follow the suggested order or choose your own. Projects Designed to help you practice and apply the skills you learn. Certificates Highlight your new skills on your resume or

An Introduction to Interactive Programming in Python (Part 1)

About this course: This two-part course is designed to help students with very little or no computing background learn the basics of building simple interactive applications. Our language of choice, Python, is an easy-to learn, high-level computer language that is used in many of the computational courses offered on Coursera. To make learning Python easy, we have developed a new browser-based programming environment that makes developing interactive applications in Python simple. These applications will involve windows whose contents are graphical and respond to buttons, the keyboard and the mouse. In part 1 of this course, we will introduce the basic elements of programming (such as expressions, conditionals, and functions) and then use these elements to create simple interactive applications such as a digital stopwatch. Part 1 of this class will culminate in building a version of the classic arcade game "Pong".
Who is this class for: Recommended Background - A knowledge o…

Программирование на Python

About this course: Python – простой, гибкий и невероятно популярный язык, который используется практически во всех областях современной разработки. С его помощью можно создавать веб-приложения, писать игры, заниматься анализом данных, автоматизировать задачи системного администрирования и многое другое. “Программирование на Python” читают разработчики, применяющие Python в проектах, которыми ежедневно пользуются миллионы людей. Курс покрывает все необходимые для ежедневной работы программиста темы, а также рассказывает про многие особенности языка, которые часто опускают при его изучении. В ходе курса вы изучите конструкции языка, типы и структуры данных, функции, научитесь применять объектно-ориентированное и функциональное программирование, узнаете про особенности реализации Python, научитесь писать асинхронный и многопоточный код. Помимо теории вас ждут практические задания, которые помогут проверить полученные знания и отточить навыки программирования на Python. После успешного о…

Front-End JavaScript Frameworks: Angular

About this course: This course concentrates mainly on Javascript based front-end frameworks, and in particular the Angular framework (Currently Ver. 4.x). This course will use Typescript for developing Angular application. Typescript features will be introduced in the context of Angular as part of the exercises. You will also get an introduction to the use of Angular Material and Angular Flex-Layout for responsive UI design. You will be introduced to various aspects of Angular including components, directives and services. You will learn about data binding, Angular router and its use for developing single-page applications. You will also learn about designing both template-driven forms and reactive forms. A quick introduction to Observables, reactive programming and RxJS in the context of Angular is included. You will then learn about Angular support for client-server communication and the use of REST API on the server side. You will use Restangular for communicating with a server sup…

Archive