Business & Management, Social Sciences, Economics & Finance
Introduction to Computational Thinking and Data Science
6.00.2x is an introduction to using computation to understand real-world phenomena.
About this course
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 program 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 papulation dynamic of viruses replicating anf drug treatments in a patient’s body.
Estimated 9 weeks
14-16hours per week
Self_paced
Introductory
Topics covered include :
- Advanced programming in Python 3
- Advanced programming in python 3 technology seeds
- Dynamic programming
- Plotting with the pylab package
- Random walks
- probability, Distributions
- Monte Carlo simulations
- Curve fitting
- Statistical fallacies
What you’ll learn
- Plotting with the pylab package
- Stochastic programming and statistical thinking
- Monte Carlo simulations
At a glance
- 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)
- Langauge: English
- Video Transcript: English
- Associated programs: XSeries in Computational Thinking using Python
About the instructors
John Guttag
Dugald C. Jackson Professor of Computer Science and Electrical Engineering at MIT
About the instructors
Eric Grimson
Bernard Gordon Professor of Medical Engineering, Professor of Computer Science at MIT
Ana Bell
Lecturer, Computer Science and Electrical Engineering at MIT
Frequently Asked Questions
- What type of computing environment do I need for this
◦ You need to have a computer running one of the following operating systems:
◦ Microsoft Windows, version XP or greater (XP, Windows Vista, or Windows 7 )◦ Apple OSX, version 10.2 or greater
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- Linux – most distributions that have been released within the past two years should work
◦ In addition, you will need the ability to download, install, and run software on your computer. - Is there a course textbook?
◦ This textbook is optional but highly recommended: Introduction to Computation and Programming Using Python, Third Edition (With Application to Computational Modeling and Understanding Date). - What browser should I use?
◦ We strongly recommend that you use the Chrome browser while visiting the edX site. This site is optimized for viewing in Chrome.
◦ If you cannot use Chrome, you should use the Firefox browser. Be advised you may have trouble with site functionality is you choose to use an alternate browser.
- What programming language(s) will this course use?
◦ Yes, transcripts of the course will be made available. - Do I need to watch the lectures live?
◦ No. You can watch the lectures at your leisure – you do not need to watch the lectures at any set time. - How much does it cost to take the
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Who can take this course?
Unfortunately, learners residing in one or more of the following countries or regions not be able to register for this course: Iran, Cuba and the Crimea region of Ukraine. Show More Show Less
Ways to take this course
Choose your path when you enroll
Price
Verified Track
$75 usd
Access to course materials
Unlimited
World Class institution and universities
edx suppport
Shareable certificate upon completion
Graded assignments and exams
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