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 ScienceUniversidade da Califórnia, San Diego
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Universidade da Califórnia, San Diego
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 stars64,04%
- 4 stars24,05%
- 3 stars7%
- 2 stars1,96%
- 1 star2,92%
Principais avaliações do MATHEMATICAL THINKING IN COMPUTER SCIENCE
I really liked this course, it's a good introduction to mathematical thinking, with plenty of examples and exercises, I also liked the use of other external graphical tools as exercises.
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.
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
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)
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