HomeCoursesProgramming Discrete Math Concepts for Beginners
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Beginner

13h

Updated 2 months ago

Programming Discrete Math Concepts for Beginners

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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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.
Discrete mathematics is the basis of several popular algorithms. This course shows the discreteness of data structures and algor...Show More

WHAT YOU'LL LEARN

An understanding of the relationship between discrete mathematics and programming
An understanding of implementing basic algorithms as programs
Hands-on experience coding the basic data structures
Exposure to six different programming languages
An understanding of the relationship between discrete mathematics and programming

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Content

1.

Course Introduction

3 Lessons

Get familiar with discrete math foundations, emphasizing algorithms, data structures, and programming links.

2.

Programming Language and Boolean Algebra

5 Lessons

Solve challenges with Boolean algebra, logical expressions, and practical programming examples.

5.

Classes, Objects, and Methods

7 Lessons

Take a closer look at classes, objects, methods, and optimizing algorithms for efficiency.

6.

Linear Data Structures

8 Lessons

Tackle practical applications of ArrayLists, linked lists, stacks, queues, deques, and combined structures.

8.

Time Complexity

5 Lessons

Sharpen your skills in understanding and optimizing the efficiency of algorithms.

9.

Propositional Logic

4 Lessons

Unpack the core of propositional logic, sets, and set operations, crucial in programming.

10.

Combinatorics

4 Lessons

Examine combinatorial methods in permutations, combinations, and recursive algorithms for array challenges.

11.

Wrapping Up

1 Lessons

Find out about key foundational concepts in discrete math and their importance for coding.
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Developed by MAANG Engineers
Every Educative resource is designed by our in-house team of ex-MAANG software engineers and PhD computer science educators — subject matter experts who’ve shipped production code at scale and taught the theory behind it. The goal is to get you hands-on with the skills you need to stay ahead in today's constantly evolving tech landscape. No videos, no fluff — just interactive, project-based learning with personalized feedback that adapts to your goals and experience.

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