Introduction to Computational Thinking and Data Science

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Course Features

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Duration

9 weeks

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Effort

16 hours per week

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Teaching Type

Instructor Paced

Course Description

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.

Course Overview

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Live Class

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Human Interaction

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Personlized Teaching

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International Faculty

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Post Course Interactions

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Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

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

What You Will Learn

Monte Carlo simulations

Plotting with the pylab package

Stochastic programming and statistical thinking

Course Instructors

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Ana Bell

Senior Lecturer, Computer Science and Electrical Engineering at Massachusetts Institute of Technology

I am a part of the EECS department at MIT, where I've been teaching introductory computer science since 2013. I received my Bachelor in Applied Science from the University of British Columbia in Vanc...
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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...
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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...
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