Beginner
13h
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.
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.
3.
Logical Expressions and Algorithms
10 Lessons
Examine logical expressions, control constructs, and algorithms like Quicksort and Euclid's GCD.
4.
Arrays and Discrete Mathematics
11 Lessons
Grasp the fundamentals of statistical measures, array manipulation, set operations, and probability in programming.
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.
7.
Tree, Algorithms, and Templates
15 Lessons
Build on algorithms, recursion, tree traversals, Java Collections, C++ templates, and practical challenges.
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.
Certificate of Completion
Showcase your accomplishment by sharing your certificate of completion.
Course Author:
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