MCS-211 Design and Analysis of Algorithms | Crash Course | MCA IGNOU | UGC NET | NotebookLM
Dive deep into the fundamentals and advanced concepts of algorithms with this comprehensive lecture series. Starting from the basics of algorithms and their properties, progress through asymptotic bounds, complexity analysis, and recurrence solving. Learn powerful problem-solving paradigms like Greedy, Divide & Conquer, and Dynamic Programming. Explore graph algorithms, string matching, and get introduced to complexity classes. Understand the world of NP-complete and NP-hard problems and learn strategies for handling intractability. Perfect for computer science students, competitive programmers, and anyone preparing for technical interviews.
Chapters
00:00 01 — Basics of an Algorithm and its Properties
08:57 02 — Asymptotic Bounds
16:54 03 — Complexity Analysis of Simple Algorithms
23:49 04 — Solving Recurrences
30:15 05 — Greedy Technique
36:23 06 — Divide and Conquer Technique
46:12 07 — Graph Algorithm–1
53:34 08 — Graph Algorithms–II
01:01:26 09 — Dynamic Programming Technique
01:08:35 10 — String Matching Algorithms
01:15:42 11 — Introduction to Complexity Classes
01:23:18 12 — NP–Completeness and NP–Hard Problems
01:32:00 13 — Handling Intractability
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