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University of California, San Diego

Introduction to Discrete Mathematics for Computer Science

University of California, San Diego via Coursera Specialization

Overview

Discrete Mathematics is the language of Computer Science. One needs to be fluent in it to work in many fields including data science, machine learning, and software engineering (it is not a coincidence that math puzzles are often used for interviews). We introduce you to this language through a fun try-this-before-we-explain-everything approach: first you solve many interactive puzzles that are carefully designed specifically for this online specialization, and then we explain how to solve the puzzles, and introduce important ideas along the way. We believe that this way, you will get a deeper understanding and will better appreciate the beauty of the underlying ideas (not to mention the self confidence that you gain if you invent these ideas on your own!). To bring your experience closer to IT-applications, we incorporate programming examples, problems, and projects in the specialization.

Syllabus

Course 1: Mathematical Thinking in Computer Science
- Offered by University of California San Diego. Mathematical thinking is crucial in all areas of computer science: algorithms, ... Enroll for free.

Course 2: Combinatorics and Probability
- Offered by University of California San Diego. Counting is one of the basic mathematically related tasks we encounter on a day to day basis. ... Enroll for free.

Course 3: Introduction to Graph Theory
- Offered by University of California San Diego. We invite you to a fascinating journey into Graph Theory — an area which connects the ... Enroll for free.

Course 4: Number Theory and Cryptography
- Offered by University of California San Diego. A prominent expert in the number theory Godfrey Hardy described it in the beginning of 20th ... Enroll for free.

Course 5: Delivery Problem
- Offered by University of California San Diego. In this online course we’ll implement (in Python) together efficient programs for a problem ... Enroll for free.

Courses

Taught by

Alexander S. Kulikov, Michael Levin and Vladimir Podolskii

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