Retour à Mathematical Thinking in Computer Science

4.4

451 notes

•

94 avis

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 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....

par AD

•Mar 26, 2019

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.

par JV

•Oct 16, 2017

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.

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90 avis

par Het Patel

•Apr 17, 2019

Best

par Adnan Mahmood

•Apr 16, 2019

The course encourage you to start thinking, it's easy but can be first step towards thinking. :)

par Cynthia McGinnis

•Apr 13, 2019

This took a lot of thinking! Some parts are easier than others. I'm a mathematician and am use to being stuck on problems and having to think them through. I also believe that if you're going to be a computer scientist, you need to learn to deal with not getting an answer correct the first time or even the 10th time.

par Anton Malmygin

•Apr 04, 2019

Great course with variety of different mathematical puzzles.

Two things can be improved:

1) It's not always obvious which global subject is discussed during the week and what is a connection with puzzles, some kind of review video at start of each week will be helpful.

2) Sometimes explanations not clear at all. I did watched some videos 2-3 times before completely understand what is going on. It will be great to have a rigours proof of theorems as supplementary reading material.

par Aneesh Deshmukh

•Mar 26, 2019

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.

par Md Habib Hasan Shakil Buya

•Mar 15, 2019

Best course for start off.......

par Lee Chian Yee

•Mar 06, 2019

course is poorly explained. such a bad course.

par Amritya Vaibhav Dembla

•Feb 12, 2019

very very fun way to understand simple things

par Gourav Chatterjee

•Feb 02, 2019

very good

par Mike Papageorge

•Jan 31, 2019

I liked the course, and I enjoyed the math for sure. BUT, I think there were some sections that could have been explained more thoroughly and perhaps some videos that could have been shot again to be more clear. But whatever, I am very grateful to be able to learn this here :)

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