Introduction to Discrete Mathematics for Computer Science

Completed by Quentin Donnellan

February 15, 2018

Approximately 3 months at 10 hours a week to complete

Course Certificates Completed

Combinatorics and Probability

Number Theory and Cryptography

Mathematical Thinking in Computer Science

Delivery Problem

Introduction to Graph Theory

View certificate for Quentin Donnellan, 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: Quentin Donnellan by January 19, 2018

6 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: Quentin Donnellan by February 8, 2018

4 weeks, 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: Quentin Donnellan by January 11, 2018

6 weeks, 2–5 hours/week

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Delivery Problem

University of California San Diego

Taught by: Alexander S. Kulikov

Completed by: Quentin Donnellan by February 15, 2018

3 weeks of study, 2–5 hours/week

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Introduction to Graph Theory

University of California San Diego

Taught by: Alexander S. Kulikov

Completed by: Quentin Donnellan by January 25, 2018

5 weeks, 3-5 hours/week

View this certificate