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4 FREE General Introductions to Programming courses
by MIT (Massachusetts Institute of Technology)
1. Introduction to Computer Science and Programming in Python
The most common starting point for MIT students with little or no programming experience. This half-semester course introduces computational concepts and basic programming.
π Course link
(https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-0001-introduction-to-computer-science-and-programming-in-python-fall-2016/)
π¬ Lecture videos
(https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-0001-introduction-to-computer-science-and-programming-in-python-fall-2016/lecture-videos)
2. Introduction to Computational Thinking and Data Science
iT'S the continuation of Introduction to Computer Science and Programming in Python and is intended for students with little or no programming experience.
π Course link
(https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-0002-introduction-to-computational-thinking-and-data-science-fall-2016/)
π¬ Lecture videos
(https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-0002-introduction-to-computational-thinking-and-data-science-fall-2016/lecture-videos)
3. Introduction to Computer Science and Programming
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.
π Course link
(https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-00sc-introduction-to-computer-science-and-programming-spring-2011/)
π¬ Lecture videos are separated by Units, you will easily find links in each unit
4. Programming for the Puzzled
This class builds a bridge between the recreational world of algorithmic puzzles (puzzles that can be solved by algorithms) and the pragmatic world of computer programming, teaching students to program while solving puzzles. Python syntax and semantics required to understand the code are explained as needed for each puzzle.
π Course link
(https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-s095-programming-for-the-puzzled-january-iap-2018/puzzle-1-you-will-all-conform/)
π¬ Lecture videos are separated by Units, you will easily find links in each unit
PDFs and code samples are also provided for each course. All materials are completely free.
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