Coursera – Introduction to Discrete Mathematics for Computer Science Specialization 2021-4

Description

Introduction to Discrete Mathematics for Computer Science Specialization is a set of computer science language training 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 is required for various fields such as data science, machine learning, and software engineering.

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

Course information

Publisher: Coursera Instructors: Alexander S. Kulikov, Michael Levin and Vladimir Podolsky English language Level of training: Introductory Number of courses: 5 Duration: Assuming 5 hours of work per week, 6 months

Courses in the Introduction to Discrete Mathematics for Computer Science Specialization series

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

Prerequisite

As prerequisites we assume only basic math (e.g., 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.

Installation

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Subtitle: English and other languages

Quality: 720

This collection includes 5 different courses.