# Mathematical Thinking in Computer Science

**Introduction to Discrete Mathematics for Computer Science,**

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Rating | 4.1★ based on 107 ratings |
---|---|

Length | 7 weeks |

Effort | 6 weeks, 2â€“5 hours/week |

Starts | Oct 12 (last week) |

Cost | $79 |

From | University of California San Diego, National Research University Higher School of Economics via Coursera |

Instructors | Alexander S. Kulikov, Michael Levin, Vladimir Podolskii |

Download Videos | On all desktop and mobile devices |

Language | English |

Subjects | Programming Mathematics |

Tags | Computer Science Algorithms Math And Logic |

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## What people are saying

**
discrete math
**

Really nice introduction to discrete math and basic algorithms.

**
discrete mathematics
**

A very interesting introduction to discrete mathematics.

I hope this course could show me the basics of discrete mathematics.

This course helped me develop an intuition for discrete mathematics.

This course mostly consists of a set of loosely related under the umbrella of discrete mathematics.

Overall a great start to learn discrete mathematics.

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**
computer science
**

Thank you UC San Diego I took this course as I am from a non-computer science background.

I would recommend everyone who is interested in Computer Science and is from a non-computer science background take this course.

But whatever, I am very grateful to be able to learn this here :) Good course to gain knowledge of mathematics, Worth for everyone not only computer science Some explanation are unclear or confusing.

I like the new title "Mathematical Thinking in Computer Science" rather than "What is a proof?".

It helps improve your mathematical thinking and prepares you for computer science studies.

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**
course for beginners
**

Awesome course for beginners.

Good course for beginners of the subject discrete mathematics.

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**
highly recommend
**

I haven't finished the bonus track yet, but it sounds like an interesting exercise for 15 puzzle.I learned a lot, I've taken discrete math before but definitely gained some new insights this time through, highly recommend these instructors!

I highly recommend it to anyone who wants to learn data structures and algorithms thoroughly.

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**
mathematical thinking
**

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.

Great introduction to mathematical thinking and how to apply it to computational problems.

## Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile.

Thinking about a career in banking? $31k

Adjunct Instructor - Design Thinking $32k

Coordinator, Thinking and Writing course $44k

Mathematical Researcher $46k

Member of the Strategic Thinking Advisory Committee $60k

Mathematical Statisticians $74k

Prof and Head, Mathematical Sciences $82k

MATHEMATICAL STATISTICIAN EAS $82k

Staff Mathematical Statistician Fellow $118k

Chair, Department of Mathematical and Statistical Sciences $120k

Senior Mathematical Statistician $123k

Global Program Manager, Design Thinking @ SAP Services $159k

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Rating | 4.1★ based on 107 ratings |
---|---|

Length | 7 weeks |

Effort | 6 weeks, 2â€“5 hours/week |

Starts | Oct 12 (last week) |

Cost | $79 |

From | University of California San Diego, National Research University Higher School of Economics via Coursera |

Instructors | Alexander S. Kulikov, Michael Levin, Vladimir Podolskii |

Download Videos | On all desktop and mobile devices |

Language | English |

Subjects | Programming Mathematics |

Tags | Computer Science Algorithms Math And Logic |

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