This course offers a complete and in-depth study of Design and Analysis of Algorithms (DAA), designed to provide both conceptual understanding and strong problem-solving skills. The curriculum covers the entire DAA syllabus systematically, ensuring that students are well-prepared for GGSIPU 5th Semester B.Tech examinations as well as competitive exams. Nothing more is required beyond this course for exam success.

Course Highlights:

📘 Complete Syllabus Coverage (Strictly as per GGSIPU B.Tech 5th Sem Syllabus):
Fundamentals of algorithm design and analysis, time and space complexity, asymptotic notations, divide and conquer, greedy algorithms, dynamic programming, backtracking, branch and bound, and NP-completeness.

🔍 Comprehensive Case Studies:
In-depth analysis of classical algorithms such as Quick Sort, Merge Sort, Dijkstra’s, Kruskal’s, Prim’s, Floyd-Warshall, Knapsack, Traveling Salesman Problem, and N-Queens problem.

📝 PYQ Integration:
Step-by-step discussion and solving of past 3 years’ university question papers (PYQs) to boost exam confidence and accuracy.

🎓 Expert Faculty:
Delivered by the best faculty with extensive teaching and research experience in Algorithms, Data Structures, and Computational Complexity.

📑 Premium Notes & Study Material:
Access to high-quality, concise notes designed for quick revision and long-term retention.