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Introduction to Discrete Mathematics for Computer Science Coursera

Highlights
Tuition fee
Free
Free
Unknown
Tuition fee
Free
Free
Unknown
Duration
3 months
Duration
3 months
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Anytime
Unknown
Start date
Anytime
Unknown
Taught in
English
Taught in
English

About

Learn the language of Computer Science. Learn the math that defines computer science, and practice applying it through mathematical proofs and Python code with this Introduction to Discrete Mathematics for Computer Science Specialization offered by Coursera in partnership with University of California San Diego.

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). 

This Introduction to Discrete Mathematics for Computer Science Specialization offered by Coursera in partnership with University of California San Diego introduces 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.

Key facts

  • They 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. 

Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from University of California San Diego

Skills you'll gain

  • Mathematics
  • Problem Solving
  • Mathematical Theory & Analysis
  • Critical Thinking
  • Algorithms
  • Probability & Statistics
  • Graph Theory
  • General Statistics
  • Computer Programming
  • Theoretical Computer Science
  • Probability Distribution
  • Strategy

Programme Structure

Courses include:

  • Mathematical Thinking in Computer Science
  • Combinatorics and Probability
  • Introduction to Graph Theory
  • Number Theory and Cryptography
  • Delivery Problem

Key information

Duration

  • Part-time
    • 3 months
    • Flexible

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Campus Location

  • Mountain View, United States

What students do after studying

Join for free or log in to access our complete career info list.

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

Beginner level

  • No prior experience required

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    Free
  • Out-of-State
    Free

Additional Details

  • Coursera Plus: Subscribe to build job-ready skills from world-class institutions.
  • $59/month, cancel anytime or $399/year with 14-day money-back guarantee

Funding

Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.

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