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 1. Learn
 2. 
 3. Computer Programming
 4. 
 5. MITx: Introduction to Computational Thinking and Data Science

 1. Computer Programming
 2. 





MITX: INTRODUCTION TO COMPUTATIONAL THINKING AND DATA SCIENCE

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


9 weeks
14–16 hours per week
Instructor-paced
Instructor-led on a course schedule
Free
Optional upgrade available



THERE IS ONE SESSION AVAILABLE:

234,864 already enrolled! After a course session ends, it will be archivedOpens
in a new tab.
Starts Oct 18
Ends Dec 21
Enroll
I would like to receive email from MITx and learn about other offerings related
to Introduction to Computational Thinking and Data Science.

INTRODUCTION TO COMPUTATIONAL THINKING AND DATA SCIENCE

About
 * About
 * What you'll learn
 * Instructors
 * FAQs
 * Ways to enroll

ENROLL NOW

Starts Oct 18


ABOUT THIS COURSE

Skip 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 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:

 * Advanced programming in Python 3
 * Knapsack problem, Graphs and graph optimization
 * Dynamic programming
 * Plotting with the pylab package
 * Random walks
 * Probability, Distributions
 * Monte Carlo simulations
 * Curve fitting
 * Statistical fallacies

Show more


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)

 * Language: English
 * Video Transcript: English
 * Associated programs:
   * XSeries in Computational Thinking using Python
 * Associated skills: Computational Thinking, Problem Solving, Population
   Dynamics, Data Science, Python (Programming Language), Viruses


WHAT YOU'LL LEARN

Skip What you'll learn
 * Plotting with the pylab package
 * Stochastic programming and statistical thinking
 * Monte Carlo simulations

Show more


ABOUT THE INSTRUCTORS


JOHN GUTTAG

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


ERIC GRIMSON

Bernard Gordon Professor of Medical
Engineering, Professor of Computer
Science • MIT…


ANA BELL

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


FREQUENTLY ASKED QUESTIONS

Skip Frequently Asked Questions
 * What type of computing environment do I need for this course?
   * 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
   * 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 Data).
 * 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 if you choose to use an
     alternate browser.
 * What programming language(s) will this course use?
   * 6.00x will be using the Python programming language, version 3.5.
   * You are not expected to have any prior programming knowledge - this course
     is intended for students who have little to no experience with any
     programming language.
 * What is the format of the class?
   * The class will consist of lecture videos, which are broken into small
     chunks, usually between eight and twelve minutes each. Some of these may
     contain integrated "check-yourself" questions.
   * There will also be programming assignments and standalone exams/quizzes,
     which are not part of the video lectures.
 * Will the text of the lectures be available?
   * 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 course?
   * Nothing: the course is free.

Show more


WHO CAN TAKE THIS COURSE?

Unfortunately, learners residing in one or more of the following countries or
regions will not be able to register for this course: Iran, Cuba and the Crimea
region of Ukraine. While edX has sought licenses from the U.S. Office of Foreign
Assets Control (OFAC) to offer our courses to learners in these countries and
regions, the licenses we have received are not broad enough to allow us to offer
this course in all locations. edX truly regrets that U.S. sanctions prevent us
from offering all of our courses to everyone, no matter where they live.


THIS COURSE IS PART OF COMPUTATIONAL THINKING USING PYTHON XSERIES PROGRAM

Learn more 
Expert instruction
2 high-quality courses
Instructor-led
Assignments and exams have specific due dates
5 months
14 - 16 hours per week


WAYS TO TAKE THIS COURSE

Choose your path when you enroll.

ENROLL NOW

Starts Oct 18


VERIFIED TRACK


AUDIT TRACK

PRICE

€71

Free

ACCESS TO COURSE MATERIALS

Unlimited



Limited



Expires on Dec 20

WORLD CLASS INSTITUTIONS AND UNIVERSITIES

EDX SUPPORT

SHAREABLE CERTIFICATE UPON COMPLETION

GRADED ASSIGNMENTS AND EXAMS

Read our FAQsin a new tab about frequently asked questions on these tracks.


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 * Share this course via email


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