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Course6.000215 lectures12 h 10 min

Introduction to Computational Thinking and Data Science

Prof. Eric Grimson, Prof. John Guttag and Dr. Ana Bell · Massachusetts Institute of Technology

Start with lecture 1 At MIT OpenCourseWare

About

6.0002 is the continuation of 6.0001 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.

Lectures

Lecture Videos

  1. Lecture 1: Introduction and Optimization Problems 41 min · Video
  2. Lecture 2: Optimization Problems 49 min · Video
  3. Lecture 3: Graph-theoretic Models 51 min · Video
  4. Lecture 4: Stochastic Thinking 50 min · Video
  5. Lecture 5: Random Walks 50 min · Video
  6. Lecture 6: Monte Carlo Simulation 51 min · Video
  7. Lecture 7: Confidence Intervals 51 min · Video
  8. Lecture 8: Sampling and Standard Error 47 min · Video
  9. Lecture 9: Understanding Experimental Data 48 min · Video
  10. Lecture 10: Understanding Experimental Data (cont.) 51 min · Video
  11. Lecture 11: Introduction to Machine Learning 52 min · Video
  12. Lecture 12: Clustering 51 min · Video
  13. Lecture 13: Classification 50 min · Video
  14. Lecture 14: Classification and Statistical Sins 50 min · Video
  15. Lecture 15: Statistical Sins and Wrap Up 45 min · Video

Syllabus and materials

At MIT OpenCourseWare, as the course publishes them.

Credits and licence

Institution
Massachusetts Institute of Technology
Department
Electrical Engineering and Computer Science
Taught by
Prof. Eric Grimson, Prof. John Guttag, Dr. Ana Bell
Term
Fall 2016
Level
Undergraduate
Language
English
Subjects
Mathematics, Computer science, Engineering
Source
MIT OpenCourseWare
Licence
CC BY-NC-SA 4.0, as MIT OpenCourseWare states it. Non-commercial use only. MIT OpenCourseWare's terms
Attribution
Prof. Eric Grimson, Prof. John Guttag, Dr. Ana Bell. Introduction to Computational Thinking and Data Science. Fall 2016. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu/. License: Creative Commons BY-NC-SA.
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