Introduction to Computational Thinking and Data Science - Massachusetts Institute of TechnologyedX
Cosa impari in questo corso?
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: Plotting with the pylab package Random walks Probability, Distributions Monte Carlo simulations Curve fitting Knapsack problem, Graphs and graph optimization Machine learning basics, Clustering algorithms Statistical fallacies