Introduction to Algorithms and Computational Thinking

Have you ever wondered how software programs solve complex problems step-by-step? Before writing a single line of code, every programmer must master the art of computational thinking and algorithm design. This course guides you through the fundamental building blocks of algorithmization, helping you translate real-world problems into clear, logical steps. Through structured reading and written exercises, you will develop a programmer's mindset, learning to break down challenges and design efficient solutions. What you'll learn: - Understand key terminology and the core properties of algorithms - Design step-by-step solutions using pseudocode and logical structures - Apply fundamental algorithmic patterns including linear, branching, and looping logic - Decompose complex problems into smaller, manageable sub-tasks - Analyze and trace algorithms to verify their correctness and efficiency - Explore how basic algorithms translate into modern programming concepts You will start with foundational definitions and the history of computational logic before moving on to practical scenarios where you read, trace, and write your own algorithms. This course is designed for absolute beginners, school-level learners, and aspiring developers with no prior programming experience. Start building your logical foundation today and learn to think like a computer scientist.