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related materials for coursera & edx MOOCs, will no longer update.

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coursera

I enjoy taking MOOCs, it is fun and amazing.

Here is a list of my finished or ongoing courses:

Course University
Machine Learning Stanford University
Neural Networks for Machine Learning University of Toronto
Programming Languages University of Washington
Algorithm Design and Analysis, Part 1 Stanford University
Algorithm Design and Analysis, Part 2 Stanford University
Convex Optimization Stanford University
Introduction to Databases Stanford University
Machine Learning Foundations National Taiwan University
Cryptography I Stanford University
Computing for Data Analysis Johns Hopkins University,
Programming Mobile Applications for Android Handheld Systems University of Maryland, College Park
Compilers Stanford University
Web Application Architectures University of New Mexico
Interactive Computer Graphics with WebGL University of New Mexico
Functional Programming Principles in Scala École Polytechnique Fédérale de Lausanne
Introduction to Data Science University of Washington
Algorithms I Princeton University
Algorithms II Princeton University
High Performance Scientific Computing University of Washington
Automata Stanford University
Introduction to Operations Management University of Pennsylvania
Pattern-Oriented Software Architecture Vanderbilt University
Mining Massive Datasets Stanford University
Computer Networks University of Washington
Machine Learning Techniques National Taiwan University
Pattern Discovery and Data Mining UIUC
Heterogeneous Parallel Programming UIUC
Image and Video Processing Duke University
Principles of Reactive Programming École Polytechnique Fédérale de Lausanne
Introduction to Bootstrap Microsoft
Artificial Intelligence UC Berkeley
Introduction to Big Data with Apache Spark UC Berkeley

## Sincere thanks to all professors involved.

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