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DISCRETE MATHEMATICS & PROBABILITY

GANPAT UNIVERSITY

FACULTY OF ENGINEERING & TECHNOLOGY

Programme

Bachelor of Technology

Branch/Spec.

Computer Engineering/Information Technology/ Computer Engineering (Artificial Intelligence)

Semester

III

Version

2.0.0.1

Effective from Academic Year

2023-24

Effective for the batch Admitted in

July 2022

Subject code

2BS3102

Subject Name

Discrete Mathematics & Probability

Teaching scheme

Examination scheme (Marks)

(Per Week)

Lecture (DT)

Practical (Lab)

Total

      CE

  SEE

Total

L

TU

P

TW

Credit

3

1

0

0

4

Theory

40

60

100

Hours

3

1

0

0

4

Practical

0

0

0

Pre-requisites:

Basic knowledge of Algebra, Function and Statistics

Course Outcome (COs):

CO

Description

CO 1

Express physical phenomenon in Group theory and Graph theory.

CO 2

Solve Correlation & Regression.

CO 3

Use basic knowledge of Probability distributions and their applications in Computer Engineering & Information Technology to cater various problems

Theory syllabus

Unit

Content

Hrs.

1

Algebraic Structures and Morphism

Algebraic structures with one Binary Operation, Semi Groups, Monoids, Groups, Congruence Relation & Quotient Structures, Abelian Group, Cyclic Group, Subgroup, Permutation Groups, Coset Decomposition Of Groups, Normal Subgroups, Lagrange’s Theorem, Algebraic Structures with two Binary operation, Rings , Integral Domain and Fields & their examples.

10

2

Graphs and Trees

Basic Concept of Graph and their properties, Degree, , Path, Cycle, Subgraphs, Isomorphism, Reachability and Connectedness, Matrix Representation Of Graphs, Eulerian & Hamiltonian Walks, Graph Colouring, Colouring Maps, Colouring Vertices, Colouring Edges, Trees, Routed trees and Sorting, Weighted trees and Prefixes codes.

10

3

Fuzzy Sets

Basic Definitions of Fuzzy sets, Basic Operations on Fuzzy Sets, Image and Inverse Images, I-V Fuzzy Sets, Fuzzy Relations.

03

4

Correlation

Definition of Correlation, Types of Correlation, Scatter Diagram Method, Karl Person’s Correlation Coefficients, Correlation Coefficients for Bivariate frequency distribution, Probable error for Correlation Coefficients, Rank Correlation Co- efficient.

07

5

Regression

Definition of Regression, Regression lines, Regression Coefficients, Properties of regression Coefficients, Fitting of regression lines and estimation for Bivariate frequency distribution.

06

6

Probability Distributions

Binomial Distribution

Introduction, Probability mass function of Binomial distribution, Mean and Variance of Binomial distribution, Properties of Binomial Distribution, Uses of Binomial Distribution.

Poisson Distribution

Introduction, Probability mass function of Poisson distribution, Mean and Variance of Poisson distribution, Properties of Poisson Distribution, Applications of Poisson Distribution.

Normal Distribution

Introduction, Probability density function of Normal distribution, Properties of Normal distribution, Importance of Normal Distribution.

09

Practical content:

Assignments and tutorials are based on the above syllabus.

Text Books:

1.

Discrete Mathematical Structures With Application To Computer Science By Tremblay, J.P. & Manohar, Mcgraw Hill - New Delhi Textbook of engineering mathematics By A.B.Mathur and V.P.Jaggi.

2.

Discrete Mathematics and Its Applications By Rosen, Kenneth McGraw Hill - New Delhi

3

Fuzzy Sets and Fuzzy Logic. Theory and Applications By George J. Klir/Bo Yuan

4

Fundamental of Applied Statistics By S.C. Gupta & V.K. Kapoor, Sultan Chand Publication

Reference Books:

1.

Discrete Mathematical Structures For Computer Science By Kolman, B& Busby R.C,Prentice Hall Of India Pvt Ltd., New Delhi

2.

Applied Discrete Structures for Computer Science By Alan Doerr & Kenneth, Galgotia Pub. Pvt Ltd., New Delhi

3.

An introduction to Probability theory and its Application By W Feller, Vol.1 3rd Ed. Wiley, 1968.

4.

Probability, Statistics and Random Process By T Veerarajan, TMH

ICT/MOOCS:

1.

https://nptel.ac.in/courses/111105035/32

2.

https://nptel.ac.in/courses/111105035/1

3.

https://nptel.ac.in/courses/102101056/11

4.

https://nptel.ac.in/courses/111105041/8

Mapping of CO-PO and CO-PSO:

PO1

PO2

PO3

PO4

PO5

PO6

PO7

PO8

PO9

PO10

PO11

PO12

PSO1

PSO2

PSO3

CO1

3

2

0

0

0

0

0

1

0

2

1

3

3

3

1

CO2

2

1

2

1

2

1

3

0

2

1

1

2

3

3

1

CO3

3

2

1

1

1

0

3

2

1

2

3

2

3

2

1