Department of Statistics, Mathematics & Computer Science

The Department of Statistics, Mathematics and Computer Science consists of four subjects; Statistics,Mathematics, Computer Science and English.

AIMS

•To enable U.G. students to understand the quantitative techniques of Statistics, Mathematics, Computer Science.

•To impart the theoretical & practical exposure of communication skill in English.

•To guide M.Sc. (Ag.) and Ph.D. students about the Statistical techniques and research methods that helps them to analyse their research data and interpret the results.

Staff

Photo

Name

Designation

Email Address

Contact Number

Profile URL AEIS

Dr. Kiran Gaur

Associate Professor & Head

kirangaur.stats@sknau.ac.in

https://aeis.icar.gov.in/Kiran950

Dr. Pratibha Manohar (Mathematics)

Assistant Professor

pratibha.maths@sknau.ac.in

https://aeis.icar.gov.in/pratibha944

Mr .Suresh Kr Sharma (Computer Science)

Assistant Professor

suresh.cs@sknau.ac.in

9414459205

https://aeis.icar.gov.in/Suresh_sknau

Dr. Manoj Kumar Sharma

Assistant Professor

mksharma.stats@sknau.ac.in

9026957239, 9452488140

https://aeis.icar.gov.in/Manoj847

Activities

Major activity of the department is teaching and to provide consultation to the students and staff regarding statistical methodology and design of experiments. The department also maintains a computer laboratory for imparting training on computer usage. M.Sc. ICT (Agriculture) course started from 2014-15 session in the department.

List of Courses Offered

UG	B.Sc.(Hon) Ag. Pt I	MATH-111	Elementary Mathematics
	B.Sc.(Hon) Ag. Pt I	ENG-111	Comprehension & Communication skills in English
	B.Sc(Hon), Ag. Pt II	STAT-211	Statistical Methods
	B.Sc.(Hon) Ag. Pt II	AGRINFO-211	Agricultural Informatics
PG	M.Sc.(Ag.) Pre I Sem	STAT-511	Statistical Methods
	M.Sc.(Ag.) Pre II Sem	STAT-521	Experimental Designs
	M.Sc.(Ag.) Pre II Sem	STAT-522	Sampling Techniques
	M.Sc.(Ag.) Pre II Sem	MATH-521	Mathematical Methods
	M.Sc.(Ag.) Final I Sem	STAT- 531	Time Series Analysis
Ph. D	Ph.D. (Ag) II Sem	STAT-524	Applied Regression Analysis