BCS503 Design and Analysis of Algorithm Syllabus
AKTU B.Tech · 5th Semester · Unit-wise syllabus (effective 2024-25)
BCS503 Design and Analysis of Algorithm (also written as KCS503) is a subject in Semester 5 of the AKTU B.Tech programme, prescribed by Dr. A.P.J. Abdul Kalam Technical University. It carries 4 credits with an L-T-P of 3-1-0. The syllabus is divided into 5 units: Introduction, Advanced Data Structures, Selected Topics. The complete unit-wise topic list, course outcomes and reference books are given below, taken from the official AKTU syllabus effective from 2024-25.
BCS503 Subject Details
| Subject Code | BCS503 / KCS503 |
|---|---|
| Subject Name | Design and Analysis of Algorithm |
| University | Dr. A.P.J. Abdul Kalam Technical University (AKTU) |
| Course | B.Tech (Bachelor of Technology) |
| Year / Semester | 3rd Year · 5th Semester |
| Credits | 4 |
| L-T-P | 3-1-0 |
| Total Units | 5 |
| Scheme Effective From | 2024-25 |
| Last Verified | 2026-08-17 |
BCS503 Design and Analysis of Algorithm Unit-Wise Syllabus
Official AKTU syllabus (effective 2024-25) — 5 units.
Unit 1: Introduction
Introduction: Algorithms, Analyzing Algorithms, Complexity of Algorithms, Growth of Functions, Performance Measurements, Sorting and Order Statistics - Shell Sort, Quick Sort, Merge Sort, Heap Sort, Comparison of Sorting Algorithms, Sorting in Linear Time.
Unit 2: Advanced Data Structures
Advanced Data Structures: Red-Black Trees, B – Trees, Binomial Heaps, Fibonacci Heaps, Tries, Skip List
Unit 3
Divide and Conquer with Examples Such as Sorting, Matrix Multiplication, Convex Hull and Searching. Greedy Methods with Examples Such as Optimal Reliability Allocation, Knapsack, Minimum Spanning Trees – Prim’s and Kruskal’s Algorithms, Single Source Shortest Paths - Dijkstra’s and Bellman Ford Algorithms.
Unit 4
Dynamic Programming with Examples Such as Knapsack. All Pair Shortest Paths – Warshal’s and Floyd’s Algorithms, Resource Allocation Problem. Backtracking, Branch and Bound with Examples Such as Travelling Salesman Problem, Graph Coloring, n-Queen Problem, Hamiltonian Cycles and Sum of Subsets.
Unit 5: Selected Topics
Selected Topics: Algebraic Computation, Fast Fourier Transform, String Matching, Theory of NP- Completeness, Approximation Algorithms and Randomized Algorithms
BCS503 Course Outcomes
- At the end of course , the student will be able to:
- CO 1 Design new algorithms, prove them correct, and analyze their asymptotic and absolute runtime K4, K6
- CO 2 and memory demands. K5, K6
- CO 3 Find an algorithm to solve the problem (create) and prove that the algorithm solves the problem K2, K5
- CO 4 correctly (validate). K2, K4
- Understand the mathematical criterion for deciding whether an algorithm is efficient, and know
- many practically important problems that do not admit any efficient algorithms.
- Apply classical sorting, searching, optimization and graph algorithms.
- CO 5 Understand basic techniques for designing algorithms, including the techniques of recursion, K2, K3
- divide-and-conquer, and greedy.
BCS503 Reference Books
- Thomas H. Coreman, Charles E. Leiserson and Ronald L. Rivest, “Introduction to Algorithms”, Printice Hall of
- E. Horowitz & S Sahni, "Fundamentals of Computer Algorithms",
- Aho, Hopcraft, Ullman, “The Design and Analysis of Computer Algorithms” Pearson Education, 2008.
- LEE "Design & Analysis of Algorithms (POD)",McGraw Hill
- Richard E.Neapolitan "Foundations of Algorithms" Jones & Bartlett Learning
- Jon Kleinberg and Éva Tardos, Algorithm Design, Pearson, 2005.
- Michael T Goodrich and Roberto Tamassia, Algorithm Design: Foundations, Analysis, and Internet Examples,
- Harry R. Lewis and Larry Denenberg, Data Structures and Their Algorithms, Harper Collins, 1997
- Robert Sedgewick and Kevin Wayne, Algorithms, fourth edition, Addison Wesley, 2011.
- Harsh Bhasin,”Algorithm Design and Analysis”,First Edition,Oxford University Press.
- Gilles Brassard and Paul Bratley,Algorithmics:Theory and Practice,Prentice Hall,1995.
Frequently Asked Questions about BCS503
What is the syllabus of BCS503 Design and Analysis of Algorithm?
The AKTU BCS503 Design and Analysis of Algorithm syllabus is divided into 5 units: Introduction; Advanced Data Structures; Selected Topics. The complete topic list for each unit is published on this page, taken from the official Dr. A.P.J. Abdul Kalam Technical University syllabus effective from 2024-25.
How many units are there in BCS503?
BCS503 Design and Analysis of Algorithm has 5 units in the AKTU syllabus, with an L-T-P (Lecture-Tutorial-Practical) structure of 3-1-0 and 4 credits.
Is BCS503 the same subject as KCS503?
Yes. AKTU renumbered its B.Tech subject codes from the 2022-23 session onwards, so the same subject appears as BCS503 and KCS503 depending on the scheme year. The syllabus content is the same.
Which semester is BCS503 taught in?
BCS503 Design and Analysis of Algorithm is taught in Semester 5 of the 3rd year of the AKTU B.Tech programme.
How many credits is BCS503 worth?
BCS503 Design and Analysis of Algorithm carries 4 credits in the AKTU evaluation scheme, with an L-T-P of 3-1-0.
Where can I download BCS503 previous year question papers?
AKTU B.Tech previous year question papers for every semester are available to download free on Ryzenstudy, with no login or registration required.
Is this the official AKTU syllabus for BCS503?
Yes. Every topic on this page is taken from the official Dr. A.P.J. Abdul Kalam Technical University syllabus document (AKTU B.Tech 3rd Year CS / Computer Engineering / CSE Syllabus), effective from 2024-25. A direct link to the original AKTU PDF is provided at the top of this page. Last verified on 2026-08-17.
Related AKTU Syllabus
Source: Dr. A.P.J. Abdul Kalam Technical University official syllabus — AKTU B.Tech 3rd Year CS / Computer Engineering / CSE Syllabus, effective from 2024-25. Ryzenstudy is not affiliated with AKTU. Content last verified on 2026-08-17.