Mathematical Thinking in Computer Science
Introduction to Discrete Mathematics for Computer Science,
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.
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| Rating | 4.1★ based on 139 ratings |
|---|---|
| Length | 7 weeks |
| Effort | 6 weeks, 2–5 hours/week |
| Starts | Jul 3 (42 weeks ago) |
| Cost | $79 |
| From | University of California San Diego, National Research University Higher School of Economics, HSE University via Coursera |
| Instructors | Alexander S. Kulikov, Michael Levin, Vladimir Podolskii, Владимир Подольский |
| 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 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.
The course was very basic for me when I compared the material with the book of Discrete Mathematics I loved this course!
Great course for creating foundation in discrete mathematics wonderful course improved my skills a lot A lot of good information.
I have learned lots of things from this course, An excellent warm-up course to the world of discrete mathematics.
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introduction to 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.
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for computer science
It helps improve your mathematical thinking and prepares you for computer science studies.
The course is very good at equipping the basic math concepts for computer science.
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difficult to understand
The main disappointment is 15-puzzle, because it's too difficult to understand without proper material.
Re-shoot the video, polish it and take some pride in your work.One of the quizzes (the one on Induction) was difficult to understand, contained material that was not explained at all in the preceding videos, and the explanations in the feedback did nothing to illuminate what was going on.
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course for beginners
Awesome course for beginners.
Good course for beginners of the subject discrete mathematics.
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rather than
All ideas are presented so that they are connected in a sequential manner rather than in a random.
I like the new title "Mathematical Thinking in Computer Science" rather than "What is a proof?".
the puzzles are fun to solve Good concepts to know and nice examples Good course with many interesting quizzes although it is lacking of clear explanation It felt more like learning how to do puzzles rather than learning math.
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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.
I highly recommend it!
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so much
This was the course 1 of the Specialization and i learned so much from it.
Thank you so much.
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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 139 ratings |
|---|---|
| Length | 7 weeks |
| Effort | 6 weeks, 2–5 hours/week |
| Starts | Jul 3 (42 weeks ago) |
| Cost | $79 |
| From | University of California San Diego, National Research University Higher School of Economics, HSE University via Coursera |
| Instructors | Alexander S. Kulikov, Michael Levin, Vladimir Podolskii, Владимир Подольский |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Programming Mathematics |
| Tags | Computer Science Algorithms Math And Logic |
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