5-10 hours/week

 

 


 

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E.g., 2017-09-23
E.g., 2017-09-23
E.g., 2017-09-23
Sep 25th 2017

This is a course aimed at making you a better designer. The course marries theory and practice, as both are valuable in improving design performance.

Average: 8 (5 votes)
Sep 25th 2017

This course is for anyone who would like to apply their technical skills to creative work ranging from video games to art installations to interactive music, and also for artists who would like to use programming in their artistic practice.

Average: 8.6 (5 votes)
Sep 18th 2017

In this course we will seek to “understand Einstein,” especially focusing on the special theory of relativity that Albert Einstein, as a twenty-six year old patent clerk, introduced in his “miracle year” of 1905. Our goal will be to go behind the myth-making and beyond the popularized presentations of relativity in order to gain a deeper understanding of both Einstein the person and the concepts, predictions, and strange paradoxes of his theory.

Average: 7.7 (7 votes)

Sep 18th 2017

This course will cover the major techniques for mining and analyzing text data to discover interesting patterns, extract useful knowledge, and support decision making, with an emphasis on statistical approaches that can be generally applied to arbitrary text data in any natural language with no or minimum human effort.

Average: 6.5 (2 votes)
Sep 18th 2017

This course is a short taster on the topic of the use of Images, Film, and their use in historical interpretation in the 20th century. It is primarily provided for those who have a general interest in history that draws on photojournalism as primary evidence, and films based on historical events.

Average: 7.3 (6 votes)
Sep 18th 2017

Learn a new way to approach problem solving by stating the problem and letting powerful constraint solving software do the rest. This class teaches you the art of encoding complex discrete optimization problems in the MiniZinc modeling language and then shows you how to effortlessly solve them by leveraging state-of-the-art open-source constraint solving software.

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Sep 18th 2017

This course is an introduction to the finite element method as applicable to a range of problems in physics and engineering sciences. The treatment is mathematical, but only for the purpose of clarifying the formulation. The emphasis is on coding up the formulations in a modern, open-source environment that can be expanded to other applications, subsequently.

Average: 5.9 (9 votes)
Sep 14th 2017

An introduction to leading profound social, environmental and personal transformation.

Average: 9.2 (6 votes)
Sep 11th 2017

This course introduces you to the design and implementation of Android applications for mobile devices. You will build upon concepts from the prior course, including handling notifications, using multimedia and graphics and incorporating touch and gestures into your apps.

Average: 6 (10 votes)
Sep 11th 2017

We will introduce the time value of money (TVM) framework in a carefully structured way, using relatively simple applications at first and quickly moving to more advance ones. We will then spend some time on developing an understanding of alternative decision criteria (NPV, IRR, Profitability, etc.) that are commonly used in the real world. We will wrap up the course with an exposure to the determination of cash flows using accounting principles. The main focus in this building block will be on individual/personal decisions because of two reasons: (a) we learn when we see value to us as individuals and (b) the beauty of finance is that the building blocks of finance are applicable to any decision, personal or corporate.

Average: 6.3 (3 votes)
Aug 21st 2017

Learn essential analytics models and methods and how to appropriately apply them, using tools such as R, to retrieve desired insights. Analytical models are key to understanding data, generating predictions, and making business decisions. Without models it’s nearly impossible to gain insights from data. In modeling, it’s essential to understand how to choose the right data sets, algorithms, techniques and formats to solve a particular business problem.

Average: 5 (1 vote)

Aug 21st 2017

A hands-on introduction to basic programming principles and practice relevant to modern data analysis, data mining, and machine learning. The modern data analysis pipeline involves collection, preprocessing, storage, analysis, and interactive visualization of data. The goal of this course, part of the Analytics: Essential Tools and Methods MicroMasters program, is for you to learn how to build these components and connect them using modern tools and techniques.

Average: 3 (1 vote)