Introduction to Discrete Mathematics for Computer Science

Completed by Konstantin Kasachev

December 25, 2017

Approximately 3 months at 10 hours a week to complete

Course Certificates Completed

Delivery Problem

Mathematical Thinking in Computer Science

Combinatorics and Probability

Introduction to Graph Theory

Number Theory and Cryptography

View certificate for Konstantin Kasachev, Introduction to Discrete Mathematics for Computer Science, offered through Coursera. 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.

Course Certificates

Earned after completing each course in the Specialization

Delivery Problem

University of California San Diego

Taught by: Alexander S. Kulikov

Completed by: Konstantin Kasachev by December 25, 2017

3 weeks of study, 2–5 hours/week

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Mathematical Thinking in Computer Science

University of California San Diego

Taught by: Alexander S. Kulikov, Michael Levin & Владимир Подольский

Completed by: Konstantin Kasachev by November 22, 2017

6 weeks, 2–5 hours/week

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Combinatorics and Probability

University of California San Diego

Taught by: Владимир Подольский & Alexander S. Kulikov

Completed by: Konstantin Kasachev by December 4, 2017

6 weeks, 3-5 hours/week

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Introduction to Graph Theory

University of California San Diego

Taught by: Alexander S. Kulikov

Completed by: Konstantin Kasachev by December 14, 2017

5 weeks, 3-5 hours/week

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Number Theory and Cryptography

University of California San Diego

Taught by: Michael Levin, Alexander S. Kulikov & Michael Levin

Completed by: Konstantin Kasachev by December 18, 2017

4 weeks, 2-5 hours/week

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