Foundational Computer Science: Algorithms and Data Structures

Understanding core computer science principles is essential for writing efficient, structured, and scalable code. This written course guides you through foundational algorithms and data structures, translating theoretical concepts into practical coding skills. You will start with key terminology and complexity analysis before exploring standard data structures and modern algorithmic patterns used in software development. What you will learn: Understand Big O notation to evaluate the time and space complexity of your code; Practice implementing linear data structures including arrays, linked lists, stacks, and queues; Apply classic searching and sorting algorithms to efficiently organize and retrieve information; Explore hierarchical data structures like binary trees and basic graph representations; Implement core algorithmic strategies including recursion, two-pointer techniques, and basic dynamic programming patterns; Analyze practical code snippets to select the optimal data structure for specific problem scenarios. The curriculum moves logically from core definitions to practical problem-solving through written explanations and code exercises. This course is designed for introductory computer science students, high school learners, and coding beginners with no prior algorithms background required. Read through the material and start strengthening your computational thinking today.