Logic, Algorithms, and Data Representation Fundamentals

Many introductory programming courses skip the essential underlying logic; this course fills that gap by focusing exclusively on the foundational concepts of computer science. This course provides a strong theoretical foundation in the principles that govern all computing. You will learn to think algorithmically, understand how data is stored and manipulated digitally, and apply Boolean logic to solve problems, preparing you for any subsequent programming language study. What you'll learn: * Understand the principles of Boolean algebra and logical operations (AND, OR, NOT, XOR). * Practice converting between binary, hexadecimal, and decimal number systems used in computing. * Master fundamental algorithmic structures, including sequence, selection, and iteration. * Apply basic combinatorics and counting principles to calculate data permutations and possibilities. * Learn how data types (integers, characters, floating-point numbers) are represented in memory. * Analyze the efficiency of simple algorithms using introductory concepts of time complexity. The course begins with defining key terminology and exploring number systems, moving logically into the rules of formal logic and data representation, before concluding with practical exercises in algorithmic design. This course is designed for absolute beginners with no prior experience in computer science or programming who wish to build a rigorous conceptual foundation. No prerequisites are required. Start building your foundational knowledge of computing today.