How I MASTERED Mathematics for Computer Science
Reviewing the best(?) FREE course to self-teach Mathematics for Computer Science.
MIT Open Courseware Learning Mathematics for Computer Science, taught by Albert Meyer and Adam Chlipala (Massachusetts Institute of Technology)
THE COURSE - https://openlearninglibrary.mit.edu/c...
Should you do this course? Let's find out.
Course description:
This subject offers an interactive introduction to discrete mathematics oriented toward computer science and engineering. The subject coverage divides roughly into thirds:
Fundamental concepts of mathematics:
1. Definitions, proofs, sets, functions, relations.
2. Discrete structures: graphs, state machines, modular arithmetic, counting.
3. Discrete probability theory.
On completion, students will be able to explain and apply the basic methods of discrete (noncontinuous) mathematics in computer science. They will be able to use these methods in subsequent courses in the design and analysis of algorithms, computability theory, software engineering, and computer systems.
Recommended Prerequisites:
Familiarity with sequences and series, limits, and differentiation and integration of functions of one variable are necessary. This is taught in 18.01 Single Variable Calculus (OCW).
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CHAPTERS:
0:00 Intro & Review Criteria
1:04 Reputation
1:22 Difficulty & Structure
2:27 My Biggest Problem with this Course...
3:17 Teaching quality
3:50 Prerequisites
4:15 Cost & is this course comprehensive?
4:55 So, should you do this course? (ask yourself this)
6:30 Was this course worth it for me?
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