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Department of Mathematics, Statistics and Computer Science

Conceived  to assist in teaching various undergraduate programmes of the University. Department  introduced computer usage in the university with acquisition of TDC-12 in  1973. Two postgraduate programmes run by the department include M.Sc. (Maths) and M.Sc.(Agricultural Statistics) besides Ph.D. (Maths).

The research thrust areas are fluid mechanics, functional analysis, approximation theory, pattern recognition, Artificial Intelligence, Neural Network and sampling theory, the Department is rigorously pursuing the development of Mathematical and Statistical models for predication of agricultural production, disease surveillance and financial stock analysis. Computer-Assisted Teaching method is being followed in the Department. 3 Professors, 4 Associate Professors, and 3 Assistant Professors at full strength serve the Department.

 

Faculty members: 

 

Name

Designation

Qualifi-cations

Specialization

Dr. A.K. Shukla

Professor & Head

Ph.D.

Applied Statistics, Agricultural Statistics

Dr. S.J.Amdekar

 Professor

Ph.D.

Statistical Methods, Sampling Theory

Dr. S.K. Vaish

Professor

Ph.D.

Complex Analysis

Dr. Manoj Kumar

Associate Professor

Ph.D.

Computer Application , Numerical Analysis

Dr. M.C. Joshi

Associate Professor

(On EOL)

Ph.D.

Fuzzy Analysis & Fixed Point Theory

Dr. S.B. Singh

Associate Professor

Ph.D.

Operations Research, Numerical Analysis, Combinatorics & Graph Theory

Dr. Vinod Kumar SRO Ph.D. Reliability and Life Testing

Dr. Arun Kumar Pal

Assistant Professor

Ph.D.

Networking modeling

Dr. Sanjay Kumar

Assistant Professor

Ph.D.

Artificial Intelligence (Application in Fuzzy Logic )

Mr. Ravindra Singh Rajput Assistant Professor M.Phil. Computer Applications

 

 Academic Programmes

 Masters:

  1. Mathematics,

  2. Agricultural Statistics

Ph.D:

  1.  Mathematics

 

 Resources:

 

1.     Computer Laboratories: Department  has about 200 computer programmes in FORTRAN for Mathematical and Statistical modeling. 16 VT-220 terminals are connected with LINUX based Super Server . One Pentium server and 15 PCs are connected on LAN for PG students and 10-Desktop PCs are for UG students

 

2.      Departmental Library:  Besides the University Central Library, Department has its own library consisting of about 200 books of Mathematics, Statistics & Computer Science.

 

  Projects:

 Under the supervision of  various scientists of the Department 34 research projects has been successfully completed.

Activities and Events:

1.       Department has organized  computer training programmes for University Scientists, Officers, Supporting Staff and Post Graduate students.

2.       Regional Mathematical Olympiad (Uttarakhand Region) examination is conducted by the department every year in the month of December.

 

 List of Courses Offered by the Department

(a)       Undergraduate Courses

I.       Mathematics

 

Sl.

Course No.

Title of the Course

Credit Hours

1.

BPM-103

Elementary Mathematics

3

2.

BPM-131

Engineering Mathematics-I

3

3.

BPM-132

Engineering Mathematics-II

4

4.

BPM-233

Engineering Mathematics-III

2

 

II.      Statistics

Sl.

Course No.

Title of the Course

Credit Hours

1.

BPS-110

Elements of Statistics

3

2.

BPS-200

Elementary Statistics

 2

3.

BPS-218

Probability, Statistics and Queuing Models

2

4.

BPS-221

Fisheries Bio-statistics

3

5.

BPS-270 Basic Statistical Methods 2

 

 

III.  Computer Sciences

 

Sl.

Course No.

Title of the Course

Credit Hours

1.

BPM-104 Information & Communication Technology 2

2.

BPM-203

Computer Application

2

3.

BPM-261

Programming in Fortran and C

3

(b)     Postgraduate Courses

I.       Mathematics

Sl.

Course No.

Title of the Course

Credit Hours

1.     

BPM-409

Basic Mathematics

4

2.     

BPM-501

Linear Algebra & Advanced Calculus

3

3.     

BPM-511

Mechanics and Variational Principles

3

4.     

BPM-531

Real Analysis

3

5.     

BPM-532

Differential Geometry  and Tensors

3

6.     

BPM-533

Topology

3

7.     

BPM-534

Complex Analysis

3

8.     

BPM-535

Differential Equations

3

9.     

BPM-536

Abstract Algebra

3

10.            

BPM-602

Special functions & Integral Equa tions

2

11.              

BPM-604

Difference, Differential Equations & Topology

3

12.              

BPM-607

Transformations & Calculus of Variations

2

13.              

BPM-635

Functional Analysis

3

14.              

BPM-711

Mathematical Modeling

3

15.              

BPM-713

Boundary Value Problems

3

16.              

BPM-731

Advanced Analysis

3

17.              

BPM-732

Integral Transforms and Z-transforms

3

18.              

BPM-734

Differentiable Manifolds

2

19.              

BPM-737

Special Functions

3

20.              

BPM-600

Seminar

2

21.              

BPM-601

Special Problem

1

22.              

BPM-690

Masters Thesis/Research

15

23.              

BPM-790

Ph.D. Thesis/Research

30

 

II.      Agricultural Statistics

 

Sl.

Course No.

Title of the Course

Credit Hours

1.

BPS-401

Probability Theory

2

2.

BPS-402

Statistical Inference

3

3.

BPS-403

Experimental Designs & Sampling Methods

3

4.

BPS-404

Applied statistics and regression analysis

3

5.

BPS-561

Statistical Methods

3

6.

BPS-571

Probability Theory and Distributions

2

7.

BPS-572

Design of Experiments-I

4

8.

BPS-573

Design of Experiments-II

3

9.

BPS-574

Sampling Techniques-I

3

10.

BPS-575

Sampling Techniques-II

3

11.

BPS-576

Estimation & Statistical Hypotheses Testing

4

12.

BPS-577

Multivariate Analysis and Official Statistics

3

13.

BPS-606

Computer Application in Biometrics

2

14.

BPS-661

Experimental Statistics

4

15.

BPS-662

Advanced Experimental Designs

3

16.

BPS-663

Linear Models

2

17.

BPS-669

Operations Research

3

18.

BPS-671

Theory of Sampling

3

19.

BPS-672

Mathematical Statistics

3

20.

BPS-600

Seminar

1

21.

BPS-601

Special problems

1

22.

BPS-690

Master's Thesis/Research

15

 

 

 III.      Computer Science

 

Sl.

Course No.

Title of the Course

Credit Hours

1.

BPM-502

Introduction to Computers & Programming

2

2.

BPM-503

Discrete Mathematical Structures

3

3.

BPM-504

Data Processing

3

4.

BPM-538

Relational Data Base Management System

3

5.

BPM-540

Design and Analysis of algorithm

3

6.

BPM-551

Foundation of Theoretical Computer Science

3

7.

BPM-552

Programming Language concepts

3

8.

BPM-553

Expert systems

3

9.

BPM-600

Seminar

1

10.

BPM-601

Special Problem

1-2

11.

BPM-605

Use of Computer Software

2

12.

BPM-611

Boundary Value Problems, Integral Equations and Numerical Analysis

3

 13.

BPM-615

Computational Fluid Dynamics

3

14.

BPM-621

Numerical Techniques for Computers

3

15.

BPM-622

Numerical Solution of Partial Differential Rquations

3

16.

BPM-623

Computer Networks

2

17.

BPM-641

Object Oriented Priogramming

3

18.

BPM-642

Structured Computer Languages

3

19.

BPM-644

Prolog

3

20.

BPM-651

Computer Graphics

2

21.

BPM-652

Elements of Computer Operating System

3

22.

BPM-653

Principles of Computer Design

4

23.

BPM-655

Management Information System

3

24.

BPM-690

Master’s Thesis Research

15

 

 

For further Information contact:

Dr. A.K. Shukla,

Professor & Head,
Department of Mathematics, Statistics and Computer Science
College of Basic Sciences and Humanities
G.B. Pant University of Agricultural and Technology,
Pantnagar –263145
Uttarakhand India

shuklaak23[at]yahoo[dot]co[dot]in