Back close

Course Detail

Course Name Discrete Mathematics
Course Code 26MAT104
Program 5 Year Integrated M.Sc in Data Science
Semester 1
Credits 4
Campus Coimbatore

Syllabus

Unit 1

Logic, Mathematical Reasoning and Counting: Logic, Prepositional Equivalence, Predicate and Quantifiers, Theorem Proving, Functions, Mathematical Induction. Recursive Definitions, Recursive Algorithms, Basics of Counting, Pigeonhole Principle, Permutation and Combinations. (Sections: 1.1 -1.4, 1.6 -1.8, 2.3, 5.1 – 5.4, 6.1 – 6.3 and 5.5)

Unit 2

Relations and Their Properties: Representing Relations, Closure of Relations, Partial Ordering, Equivalence Relations and partitions. (Sections: 9.1, 9.3 – 9.6)Advanced Counting Techniques and Relations: Recurrence Relations, Solving Recurrence Relations, Generating Functions, Solutions of Homogeneous Recurrence Relations, Divide and Conquer Relations, Inclusion-Exclusion. (Sections: 8.1 – 8.6)

Unit 3

Graph Theory: Introduction to Graphs, Graph Operations, Graph and Matrices, Graph Isomorphism, Connectivity, Euler and Hamilton Paths, Shortest Path Problem, Planar Graph, Graph Colorings and Chromatic Polynomials. (Sections: 10.1 – 10.8).

Text Books / References

Text Books:

  1. Kenneth H. Rosen, “Discrete Mathematics and its Applications”, Tata McGraw- Hill Publishing Company Limited, New Delhi, Eighth Edition, 2019.

References:

  1. P. Grimaldi, “Discrete and Combinatorial Mathematics”, Pearson Education, Fifth Edition, 2007.
  2. Thomas Koshy, “Discrete Mathematics with Applications”, Academic Press, 2005.
  3. Liu, “Elements of Discrete Mathematics”, Tata McGraw- Hill Publishing Company Limited, 200

Objectives and Outcomes

Course Outcomes:

 

  • CO1: To understand the basic concepts of Mathematical reasoning, set and functions.
  • CO2: To understand various counting techniques and principle of inclusion and exclusions.
  • CO3: Understand the concepts of various types of relations, partial ordering and equivalence relations.
  • CO4: Apply the concepts of generating functions to solve the recurrence relations.
  • CO5: Familiarise the fundamental concepts of graph theory and shortest path algorithm.

CO-PO Mapping

CO’s PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
CO1 3 3 3 1 3 1           1
CO2 2 2   1 3             1
CO3 3 3   1 2 1           1
CO4 3 1 3 1 2             1
CO5 3 2 3 3 3 2           1

DISCLAIMER: The appearance of external links on this web site does not constitute endorsement by the School of Biotechnology/Amrita Vishwa Vidyapeetham or the information, products or services contained therein. For other than authorized activities, the Amrita Vishwa Vidyapeetham does not exercise any editorial control over the information you may find at these locations. These links are provided consistent with the stated purpose of this web site.

Admissions Apply Now