Most popular MOOC courses in December 2012 represents rating of most popular courses in our online courses directory in December 2012. We are going to do such rating for every month .

We used 2 factors in this rating:

  1. MOOC course description page views count (a course page in directory).
  2. Count of votes by registered users.

There are 10 most popular courses in December 2012. Only 3 from 17 MOOC vendors are presented there. Maybe other vendors will be more popular next month.

Courses are listed in  popularity descending order.

1. Calculus: Single Variable (by Coursera)

This course provides a brisk, entertaining treatment of differential and integral calculus, with an emphasis on conceptual understanding and applications to the engineering, physical, and social sciences.

2. Introduction to Physics (by Udacity)

Study physics abroad in Europe — virtually! Learn the basics of physics on location in Italy, the Netherlands and the UK, by answering some of the discipline’s major questions from over the last 2000 years.

3. Game Theory ( BY COURSERA)

The course will provide the basics: representing games and strategies, the extensive form (which computer scientists call game trees), Bayesian games (modeling things like auctions), repeated and stochastic games, and more.

4. An Introduction to Interactive Programming in Python (by Coursera)

This course is designed to be a fun introduction to the basics of programming in Python. Our main focus will be on building simple interactive games such as Pong, Blackjack and Asteroids.

5. Applied Math: Ancient Cryptography (by Khan Academy)

Explore how we have hidden secret messages through history. A lesson by Brit Cruise. What is Cryptography?. Probability Space. The Caesar Cipher. Polyalphabetic Cipher. The One-Time Pad. Frequency Stability. The Enigma Encryption Machine (case study). Perfect Secrecy. Pseudorandom Number Generators.

6. Artificial Intelligence for Robotics (by Udacity)

Learn how to program all the major systems of a robotic car from the leader of Google and Stanford’s autonomous driving teams. This class will teach you basic methods in Artificial Intelligence, including: probabilistic inference, planning and search, localization, tracking and control, all with a focus on robotics. Extensive programming examples and assignments will apply these methods in the context of building self-driving cars.

7. Cryptography I (by Coursera)

Learn about the inner workings of cryptographic primitives and how to apply this knowledge in real-world applications!

8. Computational Investing, Part I (by Coursera)

Find out how modern electronic markets work, why stock prices change in the ways they do, and how computation can help our understanding of them.  Learn to build algorithms and visualizations to inform investing practice.

9. Algorithms: Design and Analysis, Part 1 (BY COURSERA)

In this course you will learn several fundamental principles of algorithm design: divide-and-conquer methods, graph algorithms, practical data structures, randomized algorithms, and more.

10. Introduction to Statistics (by Udacity)

Statistics is about extracting meaning from data. In this class, we will introduce techniques for visualizing relationships in data and systematic techniques for understanding the relationships using mathematics.

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