Introduction to Computational Thinking and Data Science

edX

Course Features

Duration

9 weeks

Delivery Method

Online

Available on

Lifetime Access

Accessibility

Desktop, Laptop

Language

English

Subtitles

English

Level

Intermediate

Effort

16 hours per week

Teaching Type

Instructor Paced

Course Description

6..2x will show you how computation can be used to achieve a variety goals. It also provides a quick introduction to many topics related to computational problem solving. This course is for students who have some programming experience in Python and basic knowledge of computational complexity. The course will require you to spend considerable time creating programs that implement the concepts. You will create a program to simulate a robot vacuuming a room, or model the population dynamics for viruses replicating in a patient's body.

These topics are covered:

Advanced programming with Python 3
Knapsack problem, Graphs optimization
Dynamic programming
With the Python package, plotting
Random walks
Probability and Distributions
Monte Carlo simulations
Curve fitting
Statistical fallacies

Course Overview

Live Class

Human Interaction

Personlized Teaching

International Faculty

Post Course Interactions

Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Prior programming experience in Python and a rudimentary knowledge of computational complexity

What You Will Learn

Plotting with the pylab package

Stochastic programming and statistical thinking

Monte Carlo simulations

Course Content

Expand all sections

Module 1: Introduction

Module 2: Python Programming

Module 3: Statistics and Probability

Module 4: Data Visualization

Course Instructors

John Guttag

Dugald C. Jackson Professor of Computer Science and Electrical Engineering at MIT

Professor Guttag is the Dugald C. Jackson Professor of Computer Science and Electrical Engineering at MIT. He leads the Computer Science and Artificial Intelligence Laboratory's Data Driven Medical R...

Ana Bell

Lecturer, Computer Science and Electrical Engineering at MIT

Ana Bell is a lecturer in the Computer Science and Electrical Engineering Department at MIT. Professor Bell received her Bachelor in Applied Science from the University of British Columbia in Vancou...

Eric Grimson

Bernard Gordon Professor of Medical Engineering, Professor of Computer Science at MIT

W. Eric L. Grimson is a Professor of Computer Science and Engineering, and the Bernard M. Gordon Professor of Medical Engineering. He was Chancellor of MIT from 2011 to 2014. A member of the MIT facu...