Fundamentals of Algorithm Design using Flowcharts and Pseudocode

Understanding the logic behind a program is the essential first step before learning syntax. This course introduces you to the fundamental concepts of algorithmization, the robust building blocks of all computational problem-solving. By the end of this course, you will be able to analyze problems, break them down into logical steps, and formally represent solutions using industry-standard tools like flowcharts and pseudocode, establishing a strong foundation for future programming studies. What you'll learn: * Understand the core principles of algorithms, including sequence, selection, and iteration control structures. * Practice analyzing real-world problems and translating them into clear, logical steps using descriptive pseudocode. * Apply standard flowchart symbols to visually map out algorithm logic and decision paths. * Design structured algorithms that adhere to modern programming conventions for clarity and maintainability. * Analyze the basic efficiency and correctness of simple algorithms before implementation. The course begins with defining key terminology and concepts, then systematically introduces the three fundamental control structures. You will practice applying these concepts through structured written exercises, focusing on translating logic between written steps, flowcharts, and pseudocode. This course is designed for absolute beginners with no prior programming knowledge who want to master the foundational logic required for coding. Start building your computational thinking skills today.