WEL COME TO DEPARTMENT OF MATHEMATICS

“Mathematics is queen of the sciences and Number theory is the queen of Mathematics”

Carl Friedrich Gauss

Academics

The of Mathematics department offers following courses:

Admission:

Program Selection criteria Intake
F.Y. B.Sc. 12th science with mathematics or equivalent examination. As per the enrollment of the student
S.Y. B.Sc F.Y. B.Sc. ,as per University rules As per the enrollment of the student
T.Y. B.Sc S.Y. B.Sc.(With Mathematics)or T.Y. B.Sc Computer Science as per University rules. As per the enrollment of the student

Syllabus

Semester I

Course Subject code Discipline Specific Core Course (DSCC)
Theory MT-111 Algebra  ( 2 credit , 36 L)
Theory MT- 112 Calculus – I  (2 credit, 36 L)
Practical  MT-113 Mathematics Practical (1.5 Credit, 46.8 L)

Semester II

Course Subject code Discipline Specific Core Course (DSCC)
Theory MT-121 Analytical Geometry ( 2 credit , 36 L)
Theory MT- 122 Calculus- II   (2 credit, 36 L)
Practical  MT-123 Mathematics Practical (1.5 Credit, 46.8 L)

 

Pattern of examination
semester Pattern = 50 Marks / Paper
University Examination = 35 Marks
Internal Examination = 15 marks

 

Semester III Semester IV

Paper I  MT-231: Calculus of Several Variables

Paper II  MT-232(A): Numerical Methods and Its Applications

Paper III  MT-233: Mathematics Practical based on MT-231 and MT- 232

Paper I  MT-241:Linear Algebra

Paper II  MT-242(A): Vector Calculus

Paper III  MT-243:

 Mathematics Practical based

on MT-241 and MT-242

Pattern of examination
semester Pattern = 50 Marks / Paper
University Examination = 35 Marks
Internal Examination = 15 marks
Semester V Semester VI
MT 351– Metric Space
MT 352 – Real Analysis l
MT 353 –Group Theory
MT 354 –Ordinary Differential Equation
MT 355(A) – Operations Research
MT 356(A) Machine Learning-I
MT 357 Practical Course lab-1

( on Metric Space and Real Analysis l) 

MT 358 

Practical Course lab-2

( on Group theory and Ordinary Differential Equation) 

MT 359

Practical Course lab-3

( on Operations Research and Machine Learning-I)

MT-3510 Programing in Python-I

MT-3511 LaTeX for scientific writing 

MT 361– Complex Analysis
MT 362 – Real Analysis II
MT 363 –Ring Theory
MT 364 –Partial Differential Equation
MT 365(A) – Optimization Techniques 
MT 366(A) Machine Learning-II
MT 367 Practical Course lab-1

( on Complex Analysis and Real Analysis II) 

MT 368

Practical Course lab-2

( on Ring theory and Partial Differential Equation) 

MT 369

Practical Course lab-3

( on Optimization Techniques  and Machine Learning-II)

MT-3610 Programing in Python-II

MT-3611 Mathematics into LaTeX  

Pattern of examination
semester Pattern = 50 Marks / Paper
University Examination = 35 Marks
Internal Examination = 15 marks