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

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momoexp4.tar.gz

java and C++

OnlyPython

OnlyJava

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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 discrete mathematical algebraic conception known as a date set is the root of data structures in computer programming.

(True or False) The discrete mathematical algebraic conception known as a date set is the root of data structures in computer programming.

**(True or False)** One of the advantages of an array is that it helps save the system's memory.


(True or False) One of the advantages of an array is that it helps save the system’s memory.

Set theory concepts are spread widely in computer science.

Set theory is only concerned with distinct numbers.

With all types of set operations, we can make declarative statements.

Why is it mandatory to learn set theory in discrete mathematics?

Why is it mandatory to learn set theory in discrete mathematics?

Both are applied diversely in computer science and the programming world.

There’s no similarity between these two mathematical concepts.

They’re similar because we can explore a range of huge data or sets and calculate all types of probabilities.

How are set theoretical concepts and probability concepts similar?

How are set theoretical concepts and probability concepts similar?

Test your knowledge regarding arrays and discrete mathematics.


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

Solving Sudoku and the 8-Queens Puzzle as Constraint Satisfaction

Quiz: Arrays and Discrete Mathematics