Gain insights into connecting discrete mathematics with programming. Explore variables, expressions, data structures, and algorithm design to enhance your problem-solving and implementation skills.

Discrete Mathematical Algorithms and Data Structures-02-02.png

momoexp4.tar.gz

java and C++

OnlyPython

OnlyJava

OnlyCplusplus

OnlyC

JavaLang3

Discrete mathematics is the basis of several popular algorithms. This course shows the discreteness of data structures and algorithms. It can benefit programmers with a non-CS background looking to strengthen their foundations by connecting theoretical concepts with practical programming scenarios.

The course starts with discussing relating discrete mathematics with algorithms and data structures. You will have examples demonstrating variables, conditional expressions, and arrays as basic building blocks of programming. Then, you will use classes and objects to define and implement linear data structures. You will also learn about the binary tree traversals and templates and the topics of time complexity, set difference, and rearranging the values in a string.

By the end of the course, you will have a strong grasp of algorithm design, data structure implementation, and overall problem-solving.

Programming Discrete Math Concepts for Beginners

**(True or False)** The key abstractions of combinatorics depend on permutations and combinations.

(True or False) The key abstractions of combinatorics depend on permutations and combinations.

**(True or False)** When the order of a combination doesn't matter, it's called a permutation.


(True or False) When the order of a combination doesn’t matter, it’s called a permutation.

**(True or False)** A string is a sequence of characters. It is a representation of an array of characters.

(True or False) A string is a sequence of characters. It is a representation of an array of characters.

**(True or False)** Search algorithms are good examples where optimization and approximation algorithms are applied to find solutions to various problems.

(True or False) Search algorithms are good examples where optimization and approximation algorithms are applied to find solutions to various problems.

**(True or False)** There are hundreds of combinatorial algorithms.

(True or False) There are hundreds of combinatorial algorithms.

Course Introduction

Programming Language and Boolean Algebra

Logical Expressions and Algorithms

Arrays and Discrete Mathematics

Classes, Objects, and Methods

Linear Data Structures

Tree, Algorithms, and Templates

Time Complexity

Propositional Logic

Combinatorics

Wrapping Up

Quiz: Combinatorics