Olympiad in Informatics
What You'll Learn:
- Understand the fundamentals of Dynamic Programming (DP)
- Identify problems that can be solved using Dynamic Programming techniques
- Explore how to solve the Knapsack Problem using DP
- Learn techniques for solving Paths on a Grid problems
- Understand the concept and solution approach for the Longest Increasing Subsequence (LIS)
- Develop the ability to break complex problems into smaller subproblems
- Build a more structured and systematic approach to algorithmic problem solving
- Strengthening problem-solving skills for competitive programming and Informatics Olympiad preparation
Course Description:
This course is a focused unit on Dynamic Programming designed as part of the IOI (International Olympiad in Informatics) preparation pathway. It introduces one of the most important concepts in competitive programming through a set of carefully selected lessons that cover the core ideas of DP and its application to standard problem types. By exploring topics such as Knapsack, grid path problems, and Longest Increasing Subsequence, students develop the ability to break down complex problems into smaller subproblems and construct structured solutions step by step. The course builds a solid foundation for solving advanced programming and algorithmic challenges.
Who This Course Is For:
This course is intended for students who are interested in competitive programming, algorithmic problem solving, and Informatics Olympiad preparation. It is especially suitable for learners who already have a basic understanding of programming concepts such as loops, arrays, and recursion, and who are ready to move into more advanced problem-solving techniques. The course is ideal for intermediate learners who want to strengthen their logical thinking and develop the skills needed to solve structured coding problems with confidence.
