# 學生對 加州大学圣地亚哥分校 提供的 Mathematical Thinking in Computer Science 的評價和反饋

4.4
1,995 個評分
463 條評論

## 課程概述

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? In the online course, we use a try-this-before-we-explain-everything approach: you will be solving many interactive (and mobile friendly) puzzles that were carefully designed to allow you to invent many of the important ideas and concepts yourself. Prerequisites: 1. We assume only basic math (e.g., we expect you to know what is a square or how to add fractions), common sense and curiosity. 2. Basic programming knowledge is necessary as some quizzes require programming in Python....

## 熱門審閱

2019年3月25日

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.

AM
2021年2月27日

It is a great course! teachers explain everything with care. While providing lectures there are some popup ques that verify whether you understood that lecture or not. Overall, a great experience.

## 451 - Mathematical Thinking in Computer Science 的 458 個評論（共 458 個）

2020年6月10日

some of the topics were fucking bad the explanations could have been a way more clearer felt bad

2020年4月26日

good content, but I have to say that is very and I mean very hard to understand the teachers

2020年8月24日

I'm not sure which is more bizarre, the topics being discussed or the quizzes.

2021年6月21日

2020年5月17日

By far the worst Coursera course, I've taken

2021年8月28日

unable to unenroll. extremely frustrating.

2020年2月26日

quiz is too hard!!

2020年11月26日

Very poor