Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Massachusetts Institute of Technology

Computational Thinking using Python

Massachusetts Institute of Technology via edX XSeries

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!

The courses in the XSeries are designed to help people with no prior exposure to computer science or programming learn to think computationally and write programs to tackle useful problems. Some of the people taking the two courses will use them as a stepping stone to more advanced computer science courses, but for many it will be their first and last computer science courses. Since these courses may be the only formal computer science courses many of the students take, we have chosen to focus on breadth rather than depth. The goal is to provide students with a brief introduction to many topics so they will have an idea of what is possible when they need to think about how to use computation to accomplish some goal later in their career. That said, they are not “computation appreciation” courses. They are challenging and rigorous courses in which the students spend a lot of time and effort learning to bend the computer to their will.

Introduction to Computer Science and Programming Using Python covers the notion of computation, the Python programming language, some simple algorithms, testing and debugging, and informal introduction to algorithmic complexity, and some simple algorithms and data structures. Introduction to Computational Thinking and Data Science 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.

Syllabus

Courses under this program:
Course 1: Introduction to Computer Science and Programming Using Python

An introduction to computer science as a tool to solve real-world analytical problems using Python 3.5.



Course 2: Introduction to Computational Thinking and Data Science

6.00.2x is an introduction to using computation to understand real-world phenomena.



Courses

Taught by

John Guttag, Eric Grimson and Ana Bell

Reviews

4.0 rating, based on 1 Class Central review

Start your review of Computational Thinking using Python

  • This course is so useful for understanding everything about Phyton and for learning to think as computer scientist,as programmer. It was helpful for me as introduction in the way of my journey to become computer science girl.

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.