EGE Computer Science Prep: Python and Algorithm Fundamentals

Preparing for the EGE in Computer Science requires more than just memorizing formulas; it demands a solid grasp of programming logic, data structures, and problem-solving strategies. This text-based course is designed to build your skills from the ground up, ensuring you can approach exam tasks with confidence. You will transition from understanding basic computer science definitions to writing clean Python code and solving complex algorithmic challenges. Through structured readings and written practice exercises, you will master the core topics tested on the exam. What you'll learn: • Understand foundational computer science concepts, number systems, and mathematical logic. • Apply modern Python programming basics, including clean syntax, type hints, and control flow. • Practice solving key algorithmic tasks such as sorting, searching, and string manipulation. • Analyze data structures, including tables, trees, and graphs, to solve tracking and optimization problems. • Develop systematic strategies for debugging code and verifying your solutions under exam conditions. The course begins with core theoretical concepts and basic logic before moving into hands-on programming techniques. You will progress through structured chapters that combine clear explanations with written code walkthroughs and practice questions. This course is designed for high school students preparing for the EGE in Computer Science, as well as beginners looking for a structured introduction to algorithms and Python. No prior programming experience is required. Start reading today to build a strong foundation and elevate your exam preparation.