|Course Type||Course Code||No. Of Credits|
Type of Course:
Course Coordinator and Team: Ramneek Khassa (CC) and Kranti Kumar
Email of course coordinator: email@example.com
Pre-requisites: Mathematics of the 10 + 2 level
Aim: The objective of this course is to familiarise the concept of the base step and the recursive or inductive step in applied problems and give a recursive and a non-recursive definition for an algorithm, principle of inclusion and exclusion, and also gives an introductory idea of graph theory.
Brief description of modules/ Main modules:
The following topics will be covered in the course as described below.
Part I: The Principle of Inclusion-Exclusion, the addition and multiplication rules, the Pigeonhole principle, Recurrence relations, Solving recurrence relations, Fibonnacci sequences & properties, Partition numbers, Algorithms, searching and sorting.
Part II : Definition and properties of Graphs, Pseudograph, Complete graph, Bipartite graph, Isomorphism of graphs, Eulerian circuits, Hamiltonian cycle, Adjacency matrix, Weighted graph, Travelling salesman problem, shortest path, Dijkstra’s algorithm, Floyd Warshall algorithm, Trees, Spanning trees, Minimum spanning tree, Planar graph, Euler formula, Chromatic numbers.
Tentative Assessment schedule with details of weightage:
|S.No||Assessment||Date/period in which Assessment will take place||Weightage|
|1||Class test||End August||10%|
|2||Mid Semester Exam||End September/ early October||25%|
|3||Tut/ Home Assignments||Throughout the semester||15%|
|4||Presentation/ Viva||End October/ early November||15%|
|5||End Semester Exam||As per AUD Academic Calendar||35%|