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AKTU DAA Important Questions - Unit-Wise with Solutions

Design & Analysis of Algorithms (BCS-503) rewards pattern recognition. AKTU asks the same families of questions every year — recurrence solving, a dynamic programming derivation, a greedy proof, a graph algorithm trace — so recognising the family instantly is most of the work.

design and analysis of algorithm exam intelligence

Study material (19 resources)

design and analysis of algorithm study guide

This unit-wise collection covers asymptotic notation and recurrence relations solved by substitution, recursion tree and the Master theorem from Unit 1; divide and conquer with merge sort, quick sort and binary search analysis from Unit 2; greedy algorithms including knapsack, job sequencing, Huffman coding and minimum spanning trees via Kruskal and Prim from Unit 3; dynamic programming with matrix chain multiplication, longest common subsequence, 0/1 knapsack, Floyd-Warshall and travelling salesman from Unit 4; and backtracking, branch and bound, plus P, NP, NP-hard and NP-complete classification from Unit 5.

Each question includes the algorithm, a step-by-step trace and its time complexity derivation. Since DAA is also the single most interview-relevant subject in the AKTU CSE syllabus, effort here pays twice over — once in the exam and again in placements.

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Frequently asked questions

Which DAA topics repeat most in AKTU exams?

Recurrence solving with the Master theorem, matrix chain multiplication, longest common subsequence, 0/1 knapsack, Kruskal and Prim's MST algorithms, and NP-completeness definitions repeat most often.

Is AKTU DAA useful for placements?

It is the most placement-relevant subject in the CSE syllabus. Dynamic programming, greedy strategies and graph algorithms are standard technical interview material, so exam preparation directly builds interview readiness.