Introduction to Discrete Mathematics for Computer Science Specialization

Introduction to Discrete Mathematics for Computer Science Specialization Free Download. a set of computer science language courses

Introduction to Discrete Mathematics for Computer Science Specialization Description

Introduction to Discrete Mathematics for Computer Science Specialization is a set of computer science language courses; During this course, you will learn the mathematics that define computer science and practice it with mathematical proofs and Python code. Computer language is a discrete mathematics, and mastery of it is required for various fields such as data science, machine learning, and software engineering.

Coursera – Computational Social Science Specialization

Skills you will learn in the Introduction to Discrete Mathematics for Computer Science Specialization course:

  • Graph hypothesis
  • Number Theory
  • Cryptography
  • Possibility
  • Numerical induction
  • Theory of Arguments
  • Discrete Mathematics
  • Mathematical logic
  • Random variables
  • Interpretation of probabilities
  • Composition

Courses in Introduction to Discrete Mathematics for Computer Science Specialization:

  • COURSE 1 Mathematical Thinking in Computer Science
  • COURSE 2 Combinatorics and Probability
  • COURSE 3 Introduction to Graph Theory
  • COURSE 4 Number Theory and Cryptography
  • COURSE 5 Delivery Problem

Prerequisites course:

As prerequisites we assume only basic math (eg, we expect you to know what is a square or how to add fractions), basic programming in python (functions, loops, recursion), common sense and curiosity. Our intended audience are all people that work or plan to work in IT, starting from motivated high school students.

Introduction to Discrete Mathematics for Computer Science Specialization Free Download

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HOW TO DOWNLOAD COURSE

Content From: https://www.coursera.org/specializations/discrete-mathematics

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