Design and Analysis of Algorithms (DAA)

What you'll learn

• Analyze the asymptotic performance of algorithms using best, average, and worst-case complexity bounds.
• Write rigorous correctness proofs for iterative and recursive algorithms.
• Master major algorithmic design paradigms including Brute Force, Greedy, Dynamic Programming, Branch-and-Bound, and Backtracking.
• Understand and apply fundamental data structures to design efficient algorithms.
• Synthesize efficient algorithms for common engineering design situations such as graph traversal, shortest paths, and spanning trees.
• Classify problems into complexity classes P, NP, NP-complete, and NP-hard.
• Apply approximation and randomized algorithms to intractable problems.