Chapters (30)
- 0:00Introduction to Discrete Mathematics
- 5:20Permutations: Definition and Examples
- 8:27Applications of Permutations
- 10:14Cycles and Multiset Permutations
- 13:13Counting Permutations: The Formulas
- 19:12Permutations in Python with itertools
- 25:18Custom Python Function for Counting Permutations
- 33:23Heap's Algorithm
- 40:59K-Permutations and K-Tuples
- 46:08The Rule of Product
- 53:35The Rule of Sum
- 54:25Exercises: Rule of Product & Sum
- 1:14:11The Inclusion-Exclusion Principle
- 1:26:52Exercises: Inclusion-Exclusion Principle
- 1:44:36Mathematical Notations (Sigma & Pi)
- 2:30:28Equinumerosity & Countable Sets
- 3:00:47Proving Rational Numbers are Countable
- 3:09:16Prime Numbers & Sieve of Eratosthenes
- 3:27:33Prime Number Generation in Python
- 3:40:43Advanced Properties of Prime Numbers
- 3:58:30GCD & LCM (Greatest Common Divisor & Least Common Multiple)
- 4:22:53Co-prime Numbers
- 4:29:30Congruences (Modular Arithmetic)
- 5:00:53Binomial Coefficients & Pascal's Triangle
- 5:11:11Combinations
- 5:40:43Solving a Complex Combinatorics Problem
- 5:51:53Stirling Numbers
- 6:53:52Bell Numbers
- 7:00:00The Chinese Remainder Theorem
- 7:22:16Conclusion & What's Next
Show the creator's full description
Learn discrete mathematics in this beginner's course. Discrete mathematics plays a key role in IT solutions, used in machine learning, accelerating queries in search engines and databases, in algorithms such as finding the shortest paths (graph theory), encryption, compression, and many other modern systems/solutions.
This field is constantly evolving along with the development of its key application: computer science. This course is an introduction to this group of mathematical sciences, and we will focus on the most important issues on which other branches of discrete mathematics are based: combinatorics, number theory, prime numbers, and several selected topics: pigeonhole principle, stars and bars principle, Stirling's number, and the Chinese remainder theorem. At the end of the course, there are tips and encouragement for further exploration of this field.
Karol Kurek teaches this course. He is a former math teacher and senior Python developer.
🔗 Course resources: https://github.com/Redysz/Discrete-Mathematics/tree/main
Contact: http://karolkurek.pl
YT Channel: http://youtube.com/@TwoWaysMath
Support: http://buymeacoffee.com/karol_kurek
⭐️ Contents ⭐️
- 00:00:00 Introduction to Discrete Mathematics
- 00:05:20 Permutations: Definition and Examples
- 00:08:27 Applications of Permutations
- 00:10:14 Cycles and Multiset Permutations
- 00:13:13 Counting Permutations: The Formulas
- 00:19:12 Permutations in Python with itertools
- 00:25:18 Custom Python Function for Counting Permutations
- 00:33:23 Heap's Algorithm
- 00:40:59 K-Permutations and K-Tuples
- 00:46:08 The Rule of Product
- 00:53:35 The Rule of Sum
- 00:54:25 Exercises: Rule of Product & Sum
- 01:14:11 The Inclusion-Exclusion Principle
- 01:26:52 Exercises: Inclusion-Exclusion Principle
- 01:44:36 Mathematical Notations (Sigma & Pi)
- 02:30:28 Equinumerosity & Countable Sets
- 03:00:47 Proving Rational Numbers are Countable
- 03:09:16 Prime Numbers & Sieve of Eratosthenes
- 03:27:33 Prime Number Generation in Python
- 03:40:43 Advanced Properties of Prime Numbers
- 03:58:30 GCD & LCM (Greatest Common Divisor & Least Common Multiple)
- 04:22:53 Co-prime Numbers
- 04:29:30 Congruences (Modular Arithmetic)
- 05:00:53 Binomial Coefficients & Pascal's Triangle
- 05:11:11 Combinations
- 05:40:43 Solving a Complex Combinatorics Problem
- 05:51:53 Stirling Numbers
- 06:53:52 Bell Numbers
- 07:00:00 The Chinese Remainder Theorem
- 07:22:16 Conclusion & What's Next
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