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%
- 4 stars24.07%
- 3 stars6.98%
- 2 stars1.96%
- 1 star2.96%
TOP REVIEWS FROM MATHEMATICAL THINKING IN COMPUTER SCIENCE
Excellent course, I especially liked the manner of presentation by Alexander Shen, where before voicing the solution or proof, you are invited to get to it by yourself
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!
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)
The teachers are informative and good. They explain the topic in a way that we can easily understand. The slides provide all the information that is needed. The external tools are fun and informative.
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