This third engineering mathematics course covers advanced mathematical methods that will be used in upper-level electrical and electronic engineering courses. It also develops the methods to formulate basic engineering problems in a way that makes them amenable to computational/numerical analysis. The course will consist of two main modules:

(1) Numerical Analysis including the concepts of sequences and series, knowledge of numerical computing of nonlinear systems and differential equations.

(2) Complex Analysis including rectangular and polar representations in the complex plane with associated forms of complex arithmetic, powers, roots and complex logarithms, complex differentiation, analytic functions and Cauchy-Riemann equations, Complex Integrals, Laurent series and Residue Theorem

MATLAB/Octave, as a robust computational tool, will be used to reinforce, enrich and integrate ideas throughout the course. Students will be required to work on a series of assignments involving computational work using MATLAB/Octave.

This course, part of the engineering mathematics sequence, focuses on advanced mathematical techniques essential for upper-level courses in electrical and electronic engineering. The course emphasizes the formulation and analysis of complex engineering problems, preparing students to apply both analytical and computational methods in their future studies and professional work.

This course explores the fundamental principles of complex numbers and functions, covering topics such as rectangular and polar representations, complex arithmetic, and complex differentiation. Students will delve into analytic functions, the Cauchy-Riemann equations, and perform complex integrals. Advanced topics include Laurent series expansions, singularities, and the powerful Residue Theorem, which is vital for solving engineering problems involving signal processing, control systems, and electromagnetic theory. Students will work on practical assignments that integrate theoretical concepts with numerical methods, using software to simulate and analyse systems involving complex variables. Emphasis will be placed on applying complex analysis techniques to real-world engineering challenges.

This third engineering mathematics course covers advanced mathematical methods that will be used in upper-level electrical and electronic engineering courses. It also develops the methods to formulate basic engineering problems in a way that makes them amenable to computational/numerical analysis. The course will consist of two main modules:

(1) Numerical Analysis including the concepts of sequences and series, knowledge of numerical computing of nonlinear systems and differential equations.

(2) Complex Analysis including rectangular and polar representations in the complex plane with associated forms of complex arithmetic, powers, roots and complex logarithms, complex differentiation, analytic functions and Cauchy-Riemann equations, Complex Integrals, Laurent series and Residue Theorem

MATLAB/Octave, as a robust computational tool, will be used to reinforce, enrich and integrate ideas throughout the course. Students will be required to work on a series of assignments involving computational work using MATLAB/Octave.

This course is the practical application of the theories learned in Computer Architecture and Microprocessors (CAM) courses. Practically, students were exposed and to develop assembly language programming for 80386 microprocessor family and Verilog hardware description language (HDL) programming for custom-made 16-bits microprocessor. The lab modules contain a number of experiments of Assembly language for Intel 80386 microprocessor module and using Verilog HDL for designing 16-bits custom made processor. At the end of the course, students should be able to appreciate the knowledge of microprocessor and then apply it for designing their own custom-made computer processor architecture.

The course provides preliminaries and background for understanding fluid flow studies, mainly focuses on static flows, motion flows, compressor, pump, and introduction to CFD solving engineering problems.

The course provides preliminaries and background for understanding fluid flow studies, mainly focuses on static flows, motion flows, compressor, pump, and introduction to CFD solving engineering problems.

The purpose of this course is to explain the need for petroleum refining and provide a basic understanding how a petroleum refinery works. It also introduces and reviews the physical and chemical processes used to convert crude oil into desired products. In addition the course also looks into the future prospects of oil refinery with its implications on environmental, technical, and economic constraints.

The purpose of this course is to explain the need for petroleum refining and provide a basic understanding how a petroleum refinery works. It also introduces and reviews the physical and chemical processes used to convert crude oil into desired products. In addition the course also looks into the future prospects of oil refinery with its implications on environmental, technical, and economic constraints.

Introduce the key concepts in automatic control and instrumentation of process plants. Material and energy balances are extended to unsteady state (dynamic) systems and Laplace Transforms are introduced as a means of conveniently representing process control systems and solving ordinary differential equations. First order, second order, and integrating systems including dead time are treated with basic controller algorithms. Commonly used sensing, transmission and final control elements are described and depicted in piping and Instrumentation Diagrams (P&IDs). The course is delivered through a combination of lectures, tutorials, practical and exposure to simulation programs currently used in industry. Once you have completed the course, you should be able to characterise and tune simple processes and appreciate the relevance of control systems to safety and profitability.

This course discusses the fundamentals of heat transfer including three modes: conduction, convection and radiation. In conduction mode, steady-state and unsteady state heat transfer are covered for one dimension (lumped system, semi-infinite solid & infinite solid). For a convection mode, it is divided into categories; free and forced convection heat transfer applied in laminar and turbulent flow either external or internal flows. Radiation heat transfer includes the mechanism of thermal radiation and the concept of view factor (F) for simple planes that are in common geometric relationships with each other. Different types of heat exchangers are also discussed including their designs.

System analysis and design as performed by system analysts, to understand what humans need to analyze data input or data flow systematically, process or transform data, store data, and output information in the context of a particular organization or enterprise.

The course covers the physics of fluid, classification of flow, fluid statics, fluid dynamics, the application of Bernoulli, continuity, and momentum equations, friction flow in pipes includes the use of Moody chart, flow metering and pumping.

This unit helps to develop knowledge and skills in utility system and facilities in Oil and Gas production processes. The facilities include the Oil and Gas production processes on Upstream, Midstream and Downstream. The utility systems involved in Oil and Gas production processes are introduced; which include the Process control systems, Digital oilfield, Power generation and distribution, Flare and Atmospheric ventilation, Instrument air systems, Heating, Ventilation and Air Conditioning system (HVAC), Water systems, Chemicals and additives, Diesel fuel system, Drainage system, and Telecom.