Home

Brief About

Department of Mathematical Science

“Excellence, Integrity, Leadership & Innovation”

The Department of Mathematical Science (DMS for Short) at the MEA Engineering College is the center for Mathematical Education and Research in Pure & Applied Mathematics and also in Statistics. The department has important role in all other branches of engineering

The department conduct courses on Engineering Mathematics, Discrete Mathematics, Graph Theory and Combinatorics, Complex Analysis. Ordinary and Partial Differential Equation, Discrete Computational Structures and Probability and Estimation theory for the B. Tech Level. Stochastic Process (including Queuing theory, Markov chain process and Network analysis), Advanced Probability theory, Functional & Tensor Analysis, Mathematical modeling and advanced linear Algebra for M. Tech Level (2015 and 2019 Schemes). As a result of the sincere effort of the Mathematics team, the department has been consistently obtaining excellent results, with many students scoring outstanding grades in their Mathematics courses.

As the department offers courses in support of other under graduate and Post graduate degree programs, our mission is to make sure that these courses are taught at a high standard and meet the needs of those programs. The Department constitute of highly qualified and well experienced faculty members with highly research oriented ability.

The department is headed by Dr. Sadiquali A. M Sc., B Ed., SET. Ph. D Associate Professor in Mathematics. Number of Assistant Professors (05), Ph.D. holders (01) and M. Phil. holders (01)

Dr Sadiquali A.

Assistant Professor and Head

Department of Mathematical Science
[email protected]
+91 9495488810

Vision & Mission

Vision

To impart quality education to students and motivate them to apply the various mathematical techniques in their respective fields by providing innovative and high quality instruction with a team of superb faculty members.

Mission

To provide an environment where students can learn and become competent users of mathematics and mathematical applications and to provide the best quality instruction in Mathematical Science education for every student and build up the students’ reasoning and analytical skills.

Objectives and Goals

“Excellence, Integrity, Leadership & Innovation”

Develop and enhance the students’ problem solving skills.
Achieve 100% pass in mathematical courses for the coming academic years.
Encourage and reinforce the critical thinking skills of the students.
Make every faculty member attain Ph.D. through the quality improvement programme and promote research publications by them, yearly.
Provide an environment which will help all faculty members to achieve their professional endeavors in teaching, research and their professional goals.
Provide a creative atmosphere in which higher studies and research thrive both among the students and the faculty members.
Organize international /national conferences and seminars on current mathematical developments which will be of benefit to the students, staff members and community.
Organize quality improvement programmes/faculty improvement programmes for faculty members of various engineering colleges.

Faculty

Dr Sadiquali A.

Department of Mathematical Science
[email protected]
+91 9495488810

Mrs Hasanath T.

Department of Mathematical Science
[email protected]

Mrs Sahira P.

Department of Mathematical Science
[email protected]

Mr Aslam K.V.

Department of Mathematical Science
[email protected]
+91 9744821801

Mrs Fasla C. P.

Department of Mathematical Science
[email protected]

Mrs. Shiba C K

Department of Mathematical Science
[email protected]

Courses Offered

Courses offered – B. Tech. Programme 2019 Scheme

The department conducts the following Courses,

MAT 101 : Linear Algebra & Calculus

MAT 102 : Vector Calculus, Differential Equations and Transforms

MAT 201 : Partial differential equations & Complex Analysis

MAT 203 : Discrete mathematical Structures

MAT202 : Probability, Statistics and Numerical Method

MAT 204 : Probability, Random Processes and Numerical Methods

MAT 206 : Graph Theory

MAT 208 : Probability, Statistics and advanced Graph theory

MAT 256 : Probability and Statistical Modelling

Courses offered – M. Tech. Programme

09EC6211 : Advanced Engineering Mathematics

09CS6111 : Stochastic Process and Queuing Theory

09EE63 41 : Advanced Mathematics

Credit Systems

Semester/Choice Based Credit System (Programme wise): UG semester

Details of interdisciplinary UG and PG Course offered

UG- COURSE Engineering Mathematics – Core
Sl. No	Course Code	Interdisciplinary course	Semester	Department
1	MAT101	Linear Algebra & Calculus	1	ALL
2	MAT 102	Vector Calculus, Differential Equations and Transforms	II	ALL
3	MAT 201	Partial differential equations & Complex Analysis	III	ME,CE,EC,EEE
4	MAT 203	Discrete mathematical Structures	III	CSE,IT,AD
5	MAT202	Probability, Statistics and Numerical Methods	IV	ME, CE
6	MAT 204	Probability, Random Processes and Numerical Methods	1V	ECE,EEE
7	MAT 206	Graph Theory	IV	CSE
8	MAT 208	Probability, Statistics and advanced Graph theory	IV	IT
9	MAT 256	Probability and Statistical Modelling	IV	AD
PG- COURSE Engineering Mathematics – Core
1	09EC6211	Advanced Engineering Mathematics	I	ECE
2	09CS6111	Stochastic Process and Queuing Theory	I	CSE
3	09EE63 41	Advanced Mathematics	I	EEE

K T U B. Tech Degree Curriculum (2019 onwards)

Sl. No	Course Code	Course Name	Sem	Branch	Credit	Course Type	L-T-P
1	MAT101	Linear Algebra & Calculus	1	All	4	Core	3-1-0
2	MAT 102	Vector Calculus, Differential Equations and Transforms	II	All	4	Core	3-1-0
3	MAT 201	Partial differential equations & Complex Analysis	III	ME, CE, EC, EEE	4	Core	3-1-0
4	MAT 203	Discrete mathematical Structures	III	CSE, AD,IT	4	Core	3-1-0
5	MAT 202	Probability, Statistics and Numerical Methods	IV	ME, CE	4	Core	3-1-0
6	MAT 204	Probability, Random Processes and Numerical Methods	IV	ECE	4	Core	3-1-0
7	MAT 206	Graph Theory	IV	CS	4	Core	3-1-0
8	MAT 208	Probability, Statistics and advanced Graph theory	IV	IT	4	Core	3-1-0
9	MAT 256	Probability and Statistical Modelling	IV	AD	4	Core	3-1-0

K T U M. Tech Degree Curriculum (2019 onwards)

Sl. No.	Course Code	Course Name	Sem.	Branch	Credit	Course Type	L-T-P
1	09EC6211	Advanced Engineering Mathematics	I	ECE	4	Core	4-0-0
2	09CS6111	Stochastic Process and Queuing Theory	I	CSE	4	Core	4-0-0
3	09EE63 41	Advanced Mathematics	I	EEE	4	Core	4-0-0