Foundations of Algorithms and Algorithmic Thinking

Algorithmic thinking is the backbone of computer science and essential for structured problem-solving. This introductory written course teaches you how to break down complex tasks into logical, sequential steps. You will start by understanding foundational terminology, basic variables, and conditional logic before advancing to structured control flow and simple computational patterns. What you will learn: Understand fundamental concepts of algorithm design and logical sequence. Master flow control mechanisms including loops and conditional statements. Analyze real-world scenarios to create step-by-step problem-solving instructions. Express algorithms clearly using standard pseudocode structure. Practice trace tables and dry runs to verify execution accuracy. Explore essential sorting and searching concepts with introductory complexity principles. The course begins with core definitions and gradually guides you through building practical logic models textually. Designed for absolute beginners and introductory computer science students, no prior programming experience is required. Start reading today to build your core computer science foundations.