Introduction to Discrete Mathematics for Computer Science 专项课程

于 Oct 16 开始

Introduction to Discrete Mathematics for Computer Science 专项课程

Build a Foundation for Your Career in IT。Master the math powering our lives and prepare for your software engineer or security analyst career


Discrete Math is needed to see mathematical structures in the object you work with, and understand their properties. This ability is important for software engineers, data scientists, security and financial analysts (it is not a coincidence that math puzzles are often used for interviews). We cover the basic notions and results (combinatorics, graphs, probability, number theory) that are universally needed. To deliver techniques and ideas in discrete mathematics to the learner we extensively use interactive puzzles specially created for this specialization. To bring the learners experience closer to IT-applications we incorporate programming examples, problems and projects in our courses.



5 courses







Beginner Specialization.
No prior experience required.
  1. 第 1 门课程

    Mathematical Thinking in Computer Science

    6 weeks, 2–5 hours/week


    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: induc
  2. 第 2 门课程

    Combinatorics and Probability

    6 weeks, 3-5 hours/week


    Counting is one of the basic mathematically related tasks we encounter on a day to day basis. The main question here is the following. If we need to count something, can we do anything better than just counting all objects one by one? Do we need to cre
  3. 第 3 门课程

    Introduction to Graph Theory

    5 weeks, 3-5 hours/week


    We invite you to a fascinating journey into Graph Theory — an area which connects the elegance of painting and the rigor of mathematics; is simple, but not unsophisticated. Graph Theory gives us, both an easy way to pictorially represent many major mathema
  4. 第 4 门课程

    Number Theory and Cryptography

    4 weeks, 2-5 hours/week


    We all learn numbers from the childhood. Some of us like to count, others hate it, but any person uses numbers everyday to buy things, pay for services, estimated time and necessary resources. People have been wondering about numbers’ properties for thou
  5. 第 5 门课程

    Delivery Problem

    3 weeks of study, 2–5 hours/week


    We’ll implement (in Python) together efficient programs for a problem needed by delivery companies all over the world millions times per day — the travelling salesman problem. The goal in this problem is to visit all the given places as quickly as possible. H


  • National Research University Higher School of Economics

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  • University of California San Diego

    UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Faculty at the Computer Science and Engineering Department at UCSD are among the leaders in the field of algorithms, bioinformatics, cryptography, machine learning, and many other areas of computer science.

    UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom—life is their laboratory.

  • Vladimir Podolskii

    Vladimir Podolskii

    Associate Professor
  • Michael Levin

    Michael Levin

  • Alexander S. Kulikov

    Alexander S. Kulikov

    Visiting Professor