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Course Detail

Course Name Data Structures and Algorithms
Course Code 19CCE202
Program B. Tech. in Computer and Communication Engineering
Semester Three
Year Taught 2019

Syllabus

Unit 1

Algorithm Analysis – Methodologies for Analyzing Algorithms – Asymptotic Notation – Recurrence Relations – Data Structures – Linear Data Structures (Stacks – Queues – Linked-Lists – Vectors) -Trees (Binary Search Trees – AVL trees – Red-Black trees – B-trees) – Hash-Tables (Dictionaries – Associative Arrays – Database Indexing – Caches – Sets) and Union – Find Structures.

Unit 2

Searching and Sorting (Insertion and Selection Sort – Quick sort – Merge sort – Heap sort – Bucket Sort and Radix Sort) – Comparison of sorting algorithms and lower bounds on sorting – Fundamental Techniques – The Greedy Method – Divide and Conquer – Dynamic Programming.

Unit 3

Graph Algorithms: Elementary Algorithms – Breadth-first search – Depth-first search – Topological sort – strongly connected components – Minimum Spanning Trees – Single-Source Shortest Paths – All-Pairs Shortest Paths – Maximum Flow – Network Flow and Matching – Flows and Cuts.

Textbook

  • Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest and Clifford Stein, “Introduction to Algorithms”, Third Edition, MIT Press, 2009.
  • Robert Sedgewick and Kevin Wayne, “Algorithms”, Fourth Edition, Addison Wesley, 2011.

Reference

  • Kurt Mehlhorn and Peter Sanders, “Data Structures and Algorithms:The Basic Toolbox”, Springer, 2008.
  • John V. Guttag, “Introduction to Computation and Programming using Python”, MIT Press, second edition, 2016.

Evaluation Pattern

Assessment Internal External
Periodical 1 (P1) 15
Periodical 2 (P2) 15
*Continuous Assessment (CA) 20
End Semester 50
*CA – Can be Quizzes, Assignment, Projects, and Reports.

Objectives and Outcomes

Objectives

  • To learn the linear and non-linear data structures and explore its applications
  • To understand representation using graph data structure
  • To comprehend and employ basic sorting and searching algorithm

Course Outcomes

  • CO1: Ability to implement linear and non-linear data structure operations using C
  • CO2: Ability to solve problems using appropriate data structures
  • CO3: Ability to analyze the algorithms and its complexity
  • CO4: Ability to employ sorting and searching algorithms using relevant data structures

CO – PO Mapping

PO/PSO/CO PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12 PSO1 PSO2
CO1 3 3 3 3 3 3 3 3
CO2 3 3 3 3 3 3
CO3 3 3 3 3 3 3 3 3
CO4 3 3 3 3 3 3 3

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