Essential topics in engineering mathematics, including optimization and its application to engineering, discrete-time random processes, estimation theory and modeling of engineering systems and operations using selected techniques from mathematics, statistics, and stochastic processes.

The fundamental concepts of digital design. It introduces the digital systems design flow and includes HDL (Verilog, VHDL or other languages), different level of modeling, simulation, testing, Electronic Design Automation (EDA) tools, and programmable devices.

A comprehensive coverage of the principles and techniques in the modern communication and networking systems. Students will be guided through a systematic lecture on the technical background, architecture, protocols and new directions in modern communication techniques and networks.

An in-depth overview of important topics ranging from microcontrollers and Operating System design to PCB Layout and manufacturing guidelines. The course is also intended for graduate students in Electrical and Computer Engineering, as well as the Embedded System professional.

The analysis and design of digital integrated circuits building blocks using CM OS technology. The course emphasizes on design, and requires extensive use of a circuit layout CAD tool, and SPICE for simulations.

The analysis and design of analog integrated circuits building blocks using CM OS technology. The course emphasizes on design, and requires extensive use of a circuit layout CAD tool, and SPICE for simulations.

The design and analysis of radio-frequency circuits at the transistor level, with a focus on IC implementations, mainly in CMOS. Narrow band and broadband high-frequency amplifiers including a variety of bandwidth-extension tricks. Design of front-end circuits. Classical control concepts, phase noise, oscillators, phase-locked loops and frequency synthesizers. RF power amplifiers and transceiver design.

Advanced techniques for designing of measurement systems. This includes the design of electronics for sensor interfacing and pre-processing of signals for various measurements such as displacement, force, pressure, temperature and flow.

The theoretical aspects of neural networks, genetic algorithms and fuzzy logic techniques and in relation to the systems design and implementation. At the end of the course, students are able to analyse, conceptualise, design and implement an intelligent system using any of the techniques.

Basic processes involved in IC fabrication: crystal growth to lithographic process of pattern transfer. The practical aspect would cover the major steps of a planar process used extensively in IC fabrication: oxidation, photolithography, etching, impurity doping by diffusion process, and metallization. Electrical testing of the final product to ensure quality, and conformance of product to specifications.

The application of knowledge of communication systems/ subsystems to designing and simulating and translating them for hardware realization.

Theory, principles and techniques of image processing and computer vision, which includes image acquisition and display, image filtering and segmentation, image analysis and transforms. The practical aspects of the course would cover the problem solving using the techniques and in a simulation. The design project would entail implementation of solutions on real-time DSP systems.

Issues pertaining to computer system architecture: measuring performance, instruction sets and improving CPU performance - pipelining, memory hierarchies, storage systems and I/O systems.

Issues related to system verification, tests and validation for integrated circuits such as pre-silicon verification, manufacturing tests and post silicon validation.

Issues pertaining to VLSI systems such as power consumption and specifications in VLSI systems, Low power circuit strategies and low power architectures.

This capstone subject in the degree integrates and applies knowledge gained in previous units for the purpose of evaluating complex business problems and formulating policies and strategies for their solution. It seeks to develop knowledge of key strategic management concepts as well as basic skills in the formulation, implementation and evaluation of management strategies. A conceptual framework for the subject is developed covering both the domestic and global perspectives, Integration of existing knowledge in all areas business in an important part of the strategic management process.

Overview on Operations Management, Forecasting, Designing of Goods and Services, Process Strategy and Capacity planning, Decision Making Tool, Location Strategies, Maintenance and Reliability, Transportation and Assignment problems and Project.

​This course will cover the fundamental concept of engineering economics and its principles, methodology and application of the various methods as well as discussion on issues related to the economic of various engineering projects.

​The course covers Fundamentals of Research Methodology and Applied Sciences.

​The module allows each student to work independently on an industry-based project under the supervision of a faculty member and a supervisor from the industry. The student is expected to review the subject, propose an experimental / analytical plan and follow that through to feasibility study, investigation, design / simulation, test and implementation. Each student must prepare a comprehensive technical report (MSc thesis), present and demonstrate findings and results of the project work.