Download at MAXIMUM SPEED and remove 503 Error

Purchase a VIP membership and download using our fastest servers, up to 1Gb/s
If you get 503 error while downloading, Become VIP to download with unlimited connections.

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.

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 details:

Publisher: Coursera
Instructors: Alexander S. Kulikov , Michael Levin and Владимир Подольский
Language: English
Level: Introductory
Number of Courses: 5
Duration: Assuming 5 hours per week, 6 months

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.

Pictures

Introduction to Discrete Mathematics for Computer Science Specialization

Sample film

Installation guide

After Extract, watch with your favorite Player.

Subtitle: English and other languages

Quality: 720

This collection includes 5 different courses.

download link

Mathematical Thinking in Computer Science 2021-4

Download Part 1 – 1 GB

Download Part 2 – 701 MB

Combinatorics and Probability 2021-4

Download Part 1 – 1 GB

Download Part 2 – 607 MB

Introduction to Graph Theory 2021-4

Download Part 1 – 1 GB

Download Part 2 – 868 MB

Number Theory and Cryptography 2021-4

Download Part 1 – 1 GB

Download Part 2 – 233 MB

Delivery Problem 2021-4

Download course – 643 MB

File password (s): www.downloadly.ir

Size

1.7 GB + 1.6 GB + 1.9 GB + 1.2 GB + 643 MB

Leave a Reply

Your email address will not be published. Required fields are marked *

Fill out this field
Fill out this field
Please enter a valid email address.
You need to agree with the terms to proceed

Menu