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%
- 4 stars24,10%
- 3 stars6,97%
- 2 stars1,97%
- 1 star2,93%
Principais avaliações do MATHEMATICAL THINKING IN COMPUTER SCIENCE
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)
Hi ,I am Aditya i Really Enjoyed this Course, This course gives a lot of Puzzels and Riddles and it's really fun to solve them , I am moving Towards Next cource now
I personally have very limited coding skills. this course was able to build my funadmentals in both math and science while understanding more of the bridge between the two. Very thankful for it.
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