Introduction to Discrete Mathematics for Computer Science

Completed by Kendrick Hardison

November 25, 2021

Course Certificates Completed

Combinatorics and Probability

Mathematical Thinking in Computer Science

Introduction to Graph Theory

Delivery Problem

Number Theory and Cryptography

View certificate for Kendrick Hardison, 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

Combinatorics and Probability

University of California San Diego

Taught by: Владимир Подольский & Alexander S. Kulikov

Completed by: Kendrick Hardison by November 25, 2021

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: Kendrick Hardison by November 25, 2021

6 weeks, 2–5 hours/week

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Introduction to Graph Theory

University of California San Diego

Taught by: Alexander S. Kulikov

Completed by: Kendrick Hardison by November 25, 2021

5 weeks, 3-5 hours/week

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Delivery Problem

University of California San Diego

Taught by: Alexander S. Kulikov

Completed by: Kendrick Hardison by November 25, 2021

3 weeks of study, 2–5 hours/week

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Number Theory and Cryptography

University of California San Diego & HSE University

Taught by: Michael Levin & Alexander S. Kulikov

Completed by: Kendrick Hardison by November 25, 2021

4 weeks, 2-5 hours/week

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