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MERLOT II






    

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Materials 1 - 10 shown of 21 results

Introduction to Computer Science: Programming Methodology

Programming Methodology is one of ten free courses being offered to the public through Stanford Engineering Everywhere. The... see more
Material Type: Online Course
Author: Stanford Engineering Everywhere
Date Added: Nov 13, 2008 Date Modified: Apr 22, 2014
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12.010 Computational Methods of Scientific Programming (MIT)

This course introduces programming languages and techniques used by physical scientists: FORTRAN, C, C++, MATLAB®, and... see more
Material Type: Online Course
Author: Prof. Thomas Herring, Dr. Chris Hill
Date Added: Aug 06, 2014 Date Modified: Feb 11, 2015
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Artificial Intelligence: Introduction to Robotics

Introduction to Robotics is one of the ten free courses being offered to the public through Stanford Engineering Everywhere.... see more
Material Type: Online Course
Author: Stanford Engineering Everywhere
Date Added: Nov 20, 2008 Date Modified: Apr 22, 2009
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Introduction to Computer Science and Programming

Course Description This subject is aimed at students with little or no programming experience. It aims to provide students... see more
Material Type: Online Course
Author: Eric Grimsom, John Guttag
Date Added: Feb 08, 2011 Date Modified: Mar 26, 2012
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1.204 Computer Algorithms in Systems Engineering (MIT)

This course covers concepts of computation used in analysis of engineering systems. It includes the following topics: data... see more
Material Type: Online Course
Author: Dr. George Kocur
Date Added: Aug 06, 2014 Date Modified: Aug 06, 2014
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12.S990 Quantifying Uncertainty (MIT)

The ability to quantify the uncertainty in our models of nature is fundamental to many inference problems in Science and... see more
Material Type: Online Course
Author: Dr. Sai Ravela
Date Added: Aug 06, 2014 Date Modified: Sep 01, 2014
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Very good quality; in queue to be peer reviewed
avg: 5 rating

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15.097 Prediction: Machine Learning and Statistics (MIT)

Prediction is at the heart of almost every scientific discipline, and the study of generalization (that is, prediction) from... see more
Material Type: Online Course
Author: Prof. Cynthia Rudin
Date Added: Aug 06, 2014 Date Modified: Sep 02, 2014
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Reviewed by members of Editorial board for inclusion in MERLOT.
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Very good quality; in queue to be peer reviewed
avg: 5 rating

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18.337J Parallel Computing (MIT)

This is an advanced interdisciplinary introduction to applied parallel computing on modern supercomputers. It has a hands-on... see more
Material Type: Online Course
Author: Prof. Alan Edelman
Date Added: Aug 06, 2014 Date Modified: Sep 01, 2014
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avg: 5 rating

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21M.380 Music and Technology: Algorithmic and Generative Music (MIT)

This course examines the history, techniques, and aesthetics of mechanical and computer-aided approaches to algorithmic music... see more
Material Type: Online Course
Author: Prof. Christopher Ariza
Date Added: Aug 06, 2014 Date Modified: Sep 01, 2014
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6.006 Introduction to Algorithms (MIT)

This course provides an introduction to mathematical modeling of computational problems. It covers the common algorithms,... see more
Material Type: Online Course
Author: Prof. Erik Demaine, Prof. Srinivas Devadas
Date Added: Aug 06, 2014 Date Modified: Aug 06, 2014
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