An online course is a great way to learn something without going to universities for it. However, some online courses can be costly and not very affordable. But there is a free online course available at Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts.
The 6.00.2x is an introduction to using computation to understand real-world phenomena. The program will teach you how to use computation to accomplish a variety of goals and also, provides you with a brief introduction to a variety of topics in computational problem-solving. Furthermore, this course is for students with some prior programming experience in Python and a rudimentary knowledge of computational complexity. You will spend a considerable amount of time writing programs to implement the concepts covered in the course. For instance, you will write a program that will simulate a robot vacuum cleaning a room or will model the population dynamics of viruses replicating and drug treatments in a patient’s body.
Topics
- Advanced programming in Python 3
- Also, Knapsack problem, Graphs and graph optimization
- Dynamic programming
- Plotting with the pylab package
- Similarly, Random walks
- Probability, Distributions
- Likewise, Monte Carlo simulations
- Curve fitting
- Furthermore, Statistical fallacies
Also Read: Free Online Courses at the University of Chicago
You’ll be learning
- Plotting with the pylab package
- In addition, Stochastic programming and statistical thinking
- Monte Carlo simulations
Eligibility for the Course
Unfortunately, learners from one or more of the following countries or regions will not be able to register for this course: Iran, Cuba and the Crimea region of Ukraine. While edX has sought licenses from the U.S. Office of Foreign Assets Control (OFAC) to offer our courses to learners in these countries and regions, the licenses EdX have received are not broad enough to allow it to offer this course in all locations. EdX truly regrets that U.S. sanctions prevent it from offering all of our courses to everyone, no matter where they live.
6.00.1x or equivalent (some prior programming experience in Python and a rudimentary knowledge of computational complexity) is a prerequisite.
Lastly, here is the Official Link of this course.