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 ScienceUniversity of California San Diego
About this Course
Skills you will gain
University of California 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 stars24.06%
- 3 stars6.99%
- 2 stars1.96%
- 1 star2.92%
TOP REVIEWS FROM 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.
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 love this course because it's make math not so boring, every puzzle is very challenging, hope sometime in the future I can meet with all the lecturer in this course.
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
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