EGE Computer Science: Preparing for Tasks 2, 4, and 18

Preparing for targeted problem types on the Computer Science exam requires a firm grasp of core logical and algorithmic principles. This course helps you build a solid foundation in three essential exam tasks, transforming complex theoretical rules into clear, manageable steps. You will learn to analyze requirements, spot common patterns, and implement correct solutions with confidence. What you'll learn: Learn foundational mathematical logic to evaluate truth tables for Task 2. Apply Fano's condition and binary tree strategies to resolve encoding problems for Task 4. Understand dynamic programming concepts and spreadsheet formulas for grid navigation in Task 18. Practice writing short Python scripts to automate truth table generation and check solutions. Identify core problem variants and avoid standard exam pitfalls across all three task types. The course begins with clear definitions of fundamental concepts, boolean algebra, and information theory principles. You will then progress through written walkthroughs and practice exercises designed to reinforce your analytical skills. This course is created for students and beginners preparing for the exam, with no advanced prerequisites required. Start reading today to boost your exam readiness.