Introduction to Discrete Mathematics for Computer Science

Completed by Lingdong Kong

December 26, 2019

Approximately 3 months at 10 hours a week to complete

Course Certificates Completed

Introduction to Graph Theory

Delivery Problem

Number Theory and Cryptography

Combinatorics and Probability

Mathematical Thinking in Computer Science

View certificate for Lingdong Kong, 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

Introduction to Graph Theory

University of California San Diego

Taught by: Alexander S. Kulikov

Completed by: Lingdong Kong by December 23, 2019

5 weeks, 3-5 hours/week

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Delivery Problem

University of California San Diego

Taught by: Alexander S. Kulikov

Completed by: Lingdong Kong by December 24, 2019

3 weeks of study, 2–5 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: Lingdong Kong by December 24, 2019

4 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: Lingdong Kong by December 23, 2019

6 weeks, 3-5 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: Lingdong Kong by December 23, 2019

6 weeks, 2–5 hours/week

View this certificate