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?

Offered By

## Mathematical Thinking in Computer Science

University of California San Diego## About this Course

## Skills you will gain

- Mathematical Induction
- Proof Theory
- Discrete Mathematics
- Mathematical Logic

## Offered by

## Syllabus - What you will learn from this course

**3 hours to complete**

### Making Convincing Arguments

**3 hours to complete**

**8 hours to complete**

### How to Find an Example?

**8 hours to complete**

**6 hours to complete**

### Recursion and Induction

**6 hours to complete**

**5 hours to complete**

### Logic

**5 hours to complete**

## Reviews

- 5 stars64.03%
- 4 stars24.05%
- 3 stars6.98%
- 2 stars1.96%
- 1 star2.96%

### TOP REVIEWS FROM MATHEMATICAL THINKING IN COMPUTER SCIENCE

Course was good, but sometimes i needed additional sources to understand topic better. Maybe, it was because of my english. Anyway it gave me a path what i should look for! Thank you!

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 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

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