6.00.2x is an introduction to using computation to understand real-world phenomena.
MIT Online Course Highlights
- 9 weeks long
- 14-16 hours per week
- Learn for FREE, Upgradable
- Self-Paced
- Taught by: John Guttag, Eric Grimson, Ana Bell
- View Course Syllabus
Online Course Details:
6.00.2x will teach you how to use computation to accomplish a variety of goals and provides you with a brief introduction to a variety of topics in computational problem solving .
This course is aimed at 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 example, 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 covered include:
- Advanced programming in Python 3
- Knapsack problem, Graphs and graph optimization
- Dynamic programming
- Plotting with the pylab package
- Random walks
- Probability, Distributions
- Monte Carlo simulations
- Curve fitting
- Statistical fallacies
What You Will Learn
- Plotting with the pylab package
- Stochastic programming and statistical thinking
- Monte Carlo simulations
