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 Scienceカリフォルニア大学サンディエゴ校
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 stars64.02%
- 4 stars24.07%
- 3 stars7%
- 2 stars1.96%
- 1 star2.92%
MATHEMATICAL THINKING IN COMPUTER SCIENCE からの人気レビュー
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)
I applaud the instructors for their efforts in explaining the concepts as they could be abstract and hard to explain in words! More examples to illustrate the concepts will be even more helpful!
The course is good made me think logically, good as a starting course start fast-finish fast and there you have the warm-up, though you need some knowledge of python for completing this course
The Lectures were pretty clear and concept oriented. Yet there were some topics which aren't much clear, but still the whole course is pretty well arranged and good in explaining