explanation
The Introduction to Discrete Mathematics for Computer Science specialization is a series of computer science language courses. In this course, you’ll learn the mathematics that define computer science and practice using mathematical proofs and Python code. Computer language is discrete mathematics, and mastery of it is required in various fields such as data science, machine learning, and software engineering.
The skills you will learn in the Introduction to Discrete Mathematics for Computer Science specialization include:
- graph hypothesis
- number theory
- encryption
- Possibility
- Numerical derivation
- argument theory
- discrete math
- mathematical logic
- random variable
- interpretation of probability
- composition
Course details:
publisher: Coursera
teacher: Alexander S. Kulikov , Michael Levin and Vladimir Podolsky
Language:English
Level: Introductory
Number of courses: 5
Period: Assuming 5 hours a week, 6 months
Introduction to Discrete Mathematics for Computer Science Specialties:
Prerequisite courses:
As prerequisites, we only assume basic math (e.g. we expect you to know what a square is or how to add fractions), basic programming in Python (functions, loops, recursion), common sense, and curiosity. Our target audience is anyone working or planning to work in the IT field, starting with motivated high school students.
movie
sample film
installation manual
After extracting, watch with your favorite players.
Subtitles: English and other languages
Quality: 720
This collection includes five different courses.
Comparison between 2023/8 and 2021/4:
Mathematical Thinking in Computer Science Course: The length has not changed and the number of documents (quizzes, highlights, slides, etc.) has increased by 52.
Combinatorics and Stochastic Processes: The duration has not changed and the number of documents (quizzes, highlights, slides, etc.) has been increased by 50.
Introductory Graph Theory course: The length has not changed and the number of documents (quizzes, highlights, slides, etc.) has increased by 45.
Number Theory and Cryptography Course: The duration has not changed, and the number of articles (quizzes, highlights, slides, etc.) has increased by 39.
Delivery Problems Course: The length remains the same and the number of articles (quizzes, highlights, slides, etc.) has been increased by 6.
download link
Mathematical Thinking in Computer Science 2023-8
Combinatorics and Probability 2023-8
Introduction to Graph Theory 2023-8
Number Theory and Cryptography 2023-8
Delivery Issues 2023-8
File password: free download software
size
1.7GB + 1.6GB + 1.9GB + 1.2GB + 643MB