Laying the foundation with the importance of DSA, complexity analysis, asymptotic notations, and recursion basics.
Understanding the critical role of DSA in software development, problem-solving, and technical interviews.
Analyzing algorithms based on their time and space requirements as input size grows.
Mastering Big-O, Big-Theta, and Big-Omega to formally describe algorithmic complexity.
Grasping the fundamentals of recursion, including base cases and the recursive call stack.