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

Institution: MITx

Subject: Computer Science

Level: Intermediate

Prerequisites:

6.00.1x or equivalent (some prior programming experience in Python and a rudimentary knowledge of computational complexity)

Language: English

Video Transcript: English

Associated programs:

XSeries in Computational Thinking using Python

Associated skills: Data Science, Problem Solving, Python (Programming Language), Computational Thinking, Population Dynamics, Viruses

What you\'ll learn

Plotting with the pylab package

Stochastic programming and statistical thinking

Monte Carlo simulations