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Last updated:

May 17, 2022

Duration:

6 months

FREE

This course includes:

6 months

Badge on Completion

Certificate of completion

6 months

Description

Introduction to Computer Science and Programming in Python and is intended for students with little or no programming experience. It aims to provide students with an understanding of the role computation can play in solving problems and to help students, regardless of their major, feel justifiably confident of their ability to write small programs that allow them to accomplish useful goals. The class uses the Python 3.5 programming language.

Course Information

This subject is aimed at students with little or no programming experience. It aims to provide students with an understanding of the role computation can play in solving problems. It also aims to help students, regardless of their major, to feel justifiably confident of their ability to write small programs that allow them to accomplish useful goals. The class will use the Python programming language.

Goals

  • Provide an understanding of the role computation can play in solving problems.
  • Help students, including those who do not necessarily plan to major in Computer Science and Electrical Engineering, feel confident of their ability to write small programs that allow them to accomplish useful goals.
  • Position students so that they can compete for research projects and excel in subjects with programming components.

Textbook

The textbook is Buy at MIT Press Buy at Amazon Guttag, John. Introduction to Computation and Programming Using Python: With Application to Understanding Data. 2nd ed. MIT Press, 2016. ISBN: 9780262529624. [Preview with Google Books] The book and the course lectures parallel each other, though there is more detail in the book about some topics. It is available both in hard copy and as an e-book.

Lecture and Recitation Attendance

A significant portion of the material for this course will be presented only in lecture, so students are expected to regularly attend lectures. Recitations give students a chance to ask questions about the lecture material or the problem set for the given week. Sometimes, new material may be covered in recitation. Recitation attendance is encouraged but not required. This course requires the Python programming language, specifically Python 3.5.

Installation Files

Style Guide

Additional Python Resources

Course Curriculum

    • Introduction and Optimization Problems 07:00:00
    • Optimization Problems 07:00:00
    • Graph-theoretic Models 07:00:00
    • Stochastic Thinking 07:00:00
    • Random Walks 07:00:00
    • Monte Carlo Simulation 07:00:00
    • Confidence Intervals 07:00:00
    • Sampling and Standard Error 07:00:00
    • Understanding Experimental Data 07:00:00
    • Understanding Experimental Data (cont.) 07:00:00
    • Introduction to Machine Learning 07:00:00
    • Clustering 07:00:00
    • Classification 07:00:00
    • Classification and Statistical Sins 07:00:00
    • Statistical Sins and Wrap Up 07:00:00

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Massachusetts Institute of Technology