Department of Mathematics

Mathematics

B. Sc. (General) Degree Course Units

Each student should offer course units having a minimum cumulative credit value of 27.0

First Year

Semester I

• MAT 101 2.0 Calculus I c
• MAT 102 2.0 Differential Equations c
• MAT 103 1.0 Mathematical Tools and Computer Applications I c
• MAT 104 1.0 Basic Mathematics n

Semester II

• MAT 126 2.0 Linear Algebra I with Maple c
• MAT 127 2.0 Calculus II c
• MAT 128 1.0 Mathematical Tools and Computer Applications II c

Second Year

Semester I

• MAT 201 2.0 Numerical Methods with MATLAB c
• MAT 202 3.0 Computer Programming *
• MAT 204 2.0 Boolean Algebra and Switching Circuits o
• MAT 205 1.0 Introduction to Geometrical Transformations o

Semester II

• MAT 225 2.0 Real Analysis c
• MAT 226 1.0 Linear Algebra II with Maple c
• MAT 227 2.0 Applicable Mathematics 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

Special Degree Course Units

Special Part I

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 c
• MAT 351 2.0 Number Theory c
• MAT 354 2.0 Operational Research I c
• MAT 355 2.0 History of Mathematics c
• MAT 356 2.0 Distribution Theory (based on STA 302. 20) o
• MAT 357 2.0 Design of Experiments (based on STA 352 2.0) o
• MAT 358 2.0 Database Management Systems (based on CSC 301 2.0) o
• MAT 359 2.0 System Development with Java (based on CSC 308 2.0) o
• MAT 360 2.0 Organizational Behaviour (Marketing) (based on MAN 301 2.0) 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 Chemistry (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 c
• 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 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 378 1.0 Rotational Systems 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
                  (based on STA 307 2.0)

Special 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 c
• 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 o
• MAT 485 2.0 Module Theory o
• MAT 499 4.0 Project c

Course Type

c	core
n	Optional for those not doing mathematics
o	optional for those doing Mathematics
*	optional for those doing Mathematics but not doing Computer Science as a subject

For more information please check the Courses and Examination Regulations book