I will teach you data structures and algorithms

The program consists of two main components for each session: a theoretical segment and a problem-solving segment. The curriculum kicks off with an exploration of data structure and algorithm concepts, with a focus on complexity analysis and binary search. Each session includes 4-5 exercise discussions, supplemented by related assignments and additional materials to facilitate further practice. A comprehensive session plan, available as a PDF attachment, guides the learning journey.

Here's a breakdown of the sessions:

1. Session 1: Introduction to Complexity Analysis and Binary Search. Brief discussion on fundamental algorithmic concepts.
2. Session 2: Implementation of Stack, Queue, and Deque. Although these are easy to implement, they are powerful tools for solving complex problems.
3. Session 3: Greedy and Two-Pointers. Exploration of key observation-driven problems.
4. Session 4: Breadth-First Search (BFS) and Depth-First Search (DFS). Emphasis on DFS's role in advanced tree algorithms.
5. Session 5: Mathematics. Delve into computational theories such as combinatorics, number theory, and modular arithmetic.
6. Session 6: Recursion and Dynamic Programming. Coverage of top-down/bottom-up DP, coin