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Numerical Methods for Engineers
by Jeffrey R. Chasnov- 4.9
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Approx. 40 hours to complete
We learn how to use MATLAB to solve numerical problems. Access to MATLAB online and the MATLAB grader is given to all students who enroll. Students should have already studied a programming language, and be willing to learn MATLAB. How to Write Math in the Discussions Using MathJax How to Solve Three Nonlinear equations...
Academic Discussions in English
by Tamy Chapman , Meg ParkerTop Instructor , Helen Nam , Brad Gilpin- 4.5
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Approx. 25 hours to complete
While this might seem intimidating, it will be a great opportunity for you to practice and improve your discussion skills. Please note that the free version of this class gives you access to all of the instructional videos and handouts. Introduction to Discussions...
Responsive Website Basics: Code with HTML, CSS, and JavaScript
by Dr Matthew Yee-King , Dr Marco Gillies , Dr Kate Devlin- 4.6
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Approx. 25 hours to complete
You will create a web page using basic elements to control layout and style. Use CSS to control text styles and layout Use CSS libraries such as Bootstrap to create responsive layouts Use JavaScript variables and functions Respond to user input using JavaScript 2 assignments writing HTML, CSS and JavaScript, each taking ~1 hour to complete...
Big Data Analysis: Hive, Spark SQL, DataFrames and GraphFrames
by Alexey A. Dral , Pavel Klemenkov , Natalia Pritykovskaya , Pavel Mezentsev- 4
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Approx. 37 hours to complete
Stop struggling to make your big data workflow productive and efficient, make use of the tools we are offering you. How to submit your first assignment How to Install Docker on Windows 7, 8, 10 How to submit your first Hive assignment What is Pandas DataFrame and how to create it How to send data?...
Python Programming: A Concise Introduction
by Bill Boyd- 4.7
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Approx. 18 hours to complete
The goal of the course is to introduce students to Python Version 3. It will show how to install Python and use the Spyder IDE (Integrated Development Environment) for writing and debugging programs. Converting strings to numbers. Introduction to loops - the "while" loop Introduction to lists Introduction to datatypes Introduction to libraries....
Business English: Basics
by Kin Tang , Delian Gaskell- 4.5
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Approx. 21 hours to complete
This course aims to improve your Business English language skills by developing your vocabulary and reading skills and your understanding of tone, style and knowledge of communication methods. - use appropriate tone and style according to the context of Business English Welcome to our course Introduction to our Specialization Learning how to learn...
Introduction to Learning Transfer and Life Long Learning (3L)
by Mike Smith , Carolyn Dare- 4.6
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Approx. 6 hours to complete
Learn how to identify the enablers and barriers to learning transfer. Use your own experience to categorise the processes and activities involved in learning and transferring that learning into practice. as observable changes to how work is conducted). Motivation to Learn Motivation to Learn Learning Transfer and Impact: Introduction to the LTSI Opportunity to Use Opportunity to Use...
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Energy, Environment, and Everyday Life
by David N. Ruzic- 4.7
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Approx. 47 hours to complete
Want to really learn about fracking or pipelines? How Things Work: What Happens to Our Garbage How to Cool the Planet How to Get It Out How to Get Even More Out! How Things Work: Gateway to the Heavens How to Be Allowed to Build What Is Fusion and How Do You Get It to Work?...
Research for Impact
by Mark New , Jesse DeMaria-Kinney- 4.9
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Approx. 20 hours to complete
In this course, you will learn more about the Research for Impact approach - a set of principles and practices that will help you to make your research more impactful. The course is free to enroll and take. How to develop capacities What to expect in week 5 How to build an influencing strategy...
Mathematics for Machine Learning: Multivariate Calculus
by Samuel J. Cooper , David Dye , A. Freddie Page- 4.7
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Approx. 18 hours to complete
This course offers a brief introduction to the multivariate calculus required to build many common machine learning techniques. We take a look at how we can use calculus to build approximations to functions, as well as helping us to quantify how accurate we should expect those approximations to be. How to be successful in this course...
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