B.Sc. General Degree Course Units
Each student should take course units having a minimum cumulative credit value of 27.0
FIRST YEAR
Semester I
MAT 111 2.0 Fundamentals of Logic and Set Theory |
c |
MAT 112 2.0 Differential Equations |
c |
MAT 113 1.0 Complex Numbers and Vectors |
c |
MAT 119 0.0 Mathematical Software I |
c |
MAT 114 1.0 Basic Mathematics |
* |
Semester II
MAT 121 2.0 Linear Algebra I |
c |
MAT 122 2.0 Calculus |
c |
MAT 123 1.0 Vector Calculus |
c |
MAT 129 0.0 Mathematical Software ll |
c |
SECOND YEAR
Semester I
MAT 211 1.0 Linear Algebra II |
c |
MAT 212 2.0 Real Analysis I |
c |
MAT 213 2.0 Numerical Methods |
c |
Semester II
MAT 221 2.0 Functions of Several Variables |
c |
MAT 222 2.0 Partial Differential Equations |
c |
MAT 223 1.0 Basics of Number Theory |
c |
THIRD YEAR
Semester I
MAT 301 2.0 Abstract Algebra |
c |
MAT 302 2.0 Complex Analysis |
c |
MAT 303 1.0 Classical Mechanics |
o |
MAT 304 1.0 Optimization I |
o |
Semester II
MAT 326 1.0 Fluid Dynamics |
o |
MAT 327 1.5 Numerical Analysis |
c |
MAT 328 1.5 Quantum Mechanics I |
c |
MAT 329 1.0 Mathematical Modelling I |
o |
MAT 330 1.0 Electromagnetic Theory I |
o |
MAT 331 1.0 Algorithm and complexiry |
o* |
Special Degree Course Units
Part I
Semester I
MAT 301 2.0 Abstract Algebm |
c |
MAT 302 2.0 Complex Analysis |
c |
MAT 303 1.0 Classical Mechanics |
c |
MAT 304 1.0 Optimization I |
c |
MAT 351 2.0 Number Theory |
c |
MAT 354 2.0 Operational Research I |
c |
MAT 355 3.0 History of Mathematics |
c |
MAT 356 2.0 Distribution Theory (based on STA 374 2.0) |
o |
MAT 357 2.0 Design of Experiments (based on STA 373 2.0) |
o |
MAT 358 1.5 Neural Networks (based on CSC 302 1.5) |
o |
MAT 360 2.0 Organizational Behaviour (Marketing)(based on MAN 3012.0) |
o |
MAT 361 2.0 Forecasting (based on MAN 302 2.0) |
o |
MAT 362 1.0 Environmental Chemistry (based on CHE 309 1.0) |
o |
MAT 363 1.0 Basic Chemical Engineering (based on CHE 312 1.0) |
o |
MAT 364 1.0 Food Chemistry (based on CHE 320 1.0) |
o |
MAT 365 1.0 Forensic Science (based on CHE 328 1.0) |
o |
MAT 366 1.0 Introduction to Microprocessors (based on PHY 322 1.0) |
o |
MAT 367 1.0 Nuclear Physics (based on PHY 325 1.0) |
o |
MAT 368 1.0 Geophysics (based on PHY 326 1.0) |
o |
MAT 369 1.0 Work Shadowing (based on PHY 333 1.0) |
o |
Semester II
MAT 326 1.0 Fluid Dynamics |
o |
MAT 327 1.5 Numerical Analysis |
c |
MAT 328 1.5 Quantum Mechanics I |
c |
MAT 329 1.0 Mathematical Modelling I |
c |
MAT 330 1.0 Electromagnetic Theory I |
o |
MAT 331 1.0 Algorithm and complexiry |
o* |
MAT 352 2.0 Topology |
c |
MAT 353 2.0 Computational Mathematics |
c |
MAT 376 2.0 Group Theory |
c |
MAT 377 2.0 Complex Variables |
c |
MAT 379 2.0 Statistical Modelling(based on STA 359 2.0) |
o |
MAT 381 2.0 Data Analysis and Preparation of Statistical Reports |
o |
Part II
Semester I
MAT 451 2.0 Measure Theory |
c |
MAT 452 2.0 Optimization II |
c |
MAT 453 2.0 Ring Theory |
c |
MAT 454 1.5 Geometrical Transformations |
o |
MAT 455 2.0 Graph Theory |
c |
MAT 457 1.0 Technical Writing Skills |
c |
MAT 458 1.5 Relativity |
o |
MAT 460 2.0 Industrial Internship Programme |
c |
MAT 461 1.5 Principles of Management |
c |
MAT 463 1.5 Applied Mathematical Techniques |
c |
MAT 499 1.0 Project |
c |
Semester II
MAT 476 2.0 Field Theory |
c |
MAT 477 1.5 Quantum Mechanics II (Prerequiest MAT 328 1.5) |
o |
MAT 478 2.0 Mathematical Modelling II |
c |
MAT 479 1.5 Operational Research II |
o |
MAT 480 2.0 Functional Analysis |
o |
MAT 481 1.5 Differential Geometry |
o |
MAT 482 2.0 Advanced Numerical Techniques |
c |
MAT 483 1.5 Financial Mathematics |
c |
MAT 484 1.5 Electromagnetic Theory II (Prerequiest MAT 330 1.0) |
o |
MAT 485 2.0 Module Theory |
c |
MAT 486 1.0 Rotational Systems |
c |
MAT 499 3.0 Project |
c |