Mathematical thinking is crucial in all areas of computer science: algorithms, bioinformatics, computer graphics, data science, machine learning, etc. In this course, we will learn the most important tools used in discrete mathematics: induction, recursion, logic, invariants, examples, optimality. We will use these tools to answer typical programming questions like: How can we be certain a solution exists? Am I sure my program computes the optimal answer? Do each of these objects meet the given requirements?
Mathematical Thinking in Computer Science캘리포니아 샌디에고 대학교
이 강좌에 대하여
귀하가 습득할 기술
캘리포니아 샌디에고 대학교
UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom—life is their laboratory.
- 5 stars63.98%
- 4 stars24.12%
- 3 stars6.98%
- 2 stars1.97%
- 1 star2.93%
MATHEMATICAL THINKING IN COMPUTER SCIENCE의 최상위 리뷰
Positive: Great material, full of concepts, the teaching is simple and interactive, quizzes are amazing. Negative: Too much python programming (need to be aware of python basics)
a lot of it was hard to understand but it was nice to learn through the puzzles. i was completely lost during the honors content, and i thought we weren't well-prepared for the programming assignments
Mathematical Thinking in Computer Science course is very interesting to solve the puzzles and to think solutions in more than one way, This was surely enthusiastic :-)
The excellent approaching of supplanting intuition with puzzles to help reason, before starting the lectures makes proof making one of the most fun parts in this course.
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