Description
Introduction to Discrete Mathematics for Computer Science Specialization is a set of computer science language courses; During this course series, you will learn the mathematics that defines computer science and practice it through mathematical proofs and Python code. Computer language is discrete mathematics and acquiring skills in 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 proofs
- Discrete mathematics
- The logic of mathematics
- Random variables
- Interpretation of possibilities
- Synthesis
Course details:
Publisher: Coursera
teacher: Alexander S. Kulikov, Michael Levin and Vladimir Podolsky
English language
Education level: introductory
Number of courses: 5
Duration: assuming 5 hours of work per week, 6 months
Courses in Introduction to Discrete Mathematics for Computer Science Specialization series:
Course prerequisites:
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 who work or plan to work in IT, starting from motivated high school students.
Pictures
Sample video
Installation guide
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Subtitles: English and other languages
Quality: 720
This collection includes 5 different courses.
Version 2023/8 compared to 2021/4:
Mathematical Thinking in Computer Science course: the duration has not changed and 52 documents (quizzes, highlights, slides, etc.) have increased.
Combinatorics and Probability course: the duration has not changed and 50 documents (quizzes, highlights, slides, etc.) have increased.
Introduction to Graph Theory course: the duration has not changed and 45 documents (quizzes, highlights, slides, etc.) have increased.
Number Theory and Cryptography course: the duration has not changed and 39 documents (quizzes, highlights, slides, etc.) have increased.
Delivery Problem course: the duration has not changed and 6 documents (quizzes, highlights, slides, etc.) have increased.
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 Problem 2023-8
Password file(s): www.downloadly.ir
Size
1.7 GB + 1.6 GB + 1.9 GB + 1.2 GB + 656 MB
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