Problem Solving
Browse all courses and learning paths tagged with Problem Solving.
CRITICAL THINKING & PROBLEM SOLVING FOR BEGINNERS
This course helps learners develop the ability to think clearly, analyze situations logically, and solve problems effectively. It is designed for beginners who often feel confused, overwhelmed, or unsure when facing decisions or complex situations. The course focuses on practical thinking skills that can be applied in daily life, study, work, and basic business contexts. Instead of abstract theory, learners are guided step by step to build structured thinking habits.
MIT 6.1200J Mathematics for Computer Science, Spring 2024
Master the mathematical foundations of modern computing with MIT's Mathematics for Computer Science (6.1200J) course. Taught by renowned professors Erik Demaine and Zachary Abel, this rigorous curriculum bridges the gap between abstract mathematics and practical computer science applications. You will learn to think mathematically through logic and proofs, analyze algorithm performance with asymptotic notation, and secure data using number theory and cryptography. From Google's PageRank algorithm to analyzing network connectivity, this course provides the essential toolkit for tackling complex engineering problems.
JavaScript Data Structures
Take your JavaScript skills to the next level by mastering Data Structures. In this comprehensive course, you will learn how to implement essential structures like Linked Lists, Trees, and Graphs from scratch, understanding exactly how they work under the hood. You will also explore the time complexity of built-in JavaScript structures (Arrays, Objects, Sets, Maps) to make informed decisions for your applications. This knowledge is critical for optimizing performance and aceing technical coding interviews.
JavaScript Algorithms
Master the fundamentals of Algorithms in JavaScript with this beginner-friendly course by Codevolution. Unlike theoretical computer science lectures, this series focuses on practical implementation and Big-O analysis specifically for JavaScript developers. You will learn how to measure code performance, solve common mathematical problems, and implement essential search and sort algorithms from scratch. Whether you are preparing for a coding interview or want to write more efficient code, this course provides the logical foundation you need.