Master Of Engineering (Electronic Engineering) Degree

Master Of Engineering (Electronic Engineering)Degree
NUST code:
DURATION:	1 1/2Years
TYPE OF DEGREE:		Masters
CREDIT LOAD:	495
LEVEL	SADC-QF - Level 9
ACCREDITATION ORGANISATION(S):	Zimbabwe Council for Higher Education (ZIMCHE)

The programme shall last one-and-a half academic years or three semesters on a full- time basis. It is recommended that the first two semesters be devoted to the course work while the third semester is devoted to the preparation of a dissertation.

A good Honours degree (First or upper second class) in Electronic Engineering or equivalent.

The programme shall consist of course work (Part I) lasting two semesters full-time and a Masters' thesis (Part II) lasting at least six months full-time.

DEGREE CLASSIFICATION

The following degree classification shall be used for the Programme:

80% and above - DISTINCTION

70% - 79% - MERIT

60% - 69% - CREDIT

50% - 59% - PASS

Below 50% - FAIL

TEE6122 COMMUNICATION SYSTEM ERROR CONTROL
Introduction. Coding error detection/correction codes, both block and convolutional. Survey of error-control strategies used in storage and transmission channels.

TEE6123 THEORY OF NOISE GENERATION AND MEASUREMENT
Noise representation by statistical parameters, noise generators in measurements. Application to communication systems.

TEE6124 ANALYSIS, SIMULATION AND DESIGN IN ELECTRONIC ENGINEERING
Implementation of computer-aided and numerical methods of solving problems in electronic engineering

TEE6125 LINEAR AND NON-LINEAR SYSTEMS THEORY

State-space description and analysis of both continuous and discrete-time dynamic systems. Optimisation.

TEE6124 ANALYSIS, SIMULATION AND DESIGN IN ELECTRONIC ENGINEERING
Implementation of Computer-aided and numerical methods of solving problems in electronic engineering.

TEE6125 LINEAR AND NON-LINEAR SYSTEMS THEORY
State-space description and analysis of both continuous and discrete-time dynamic systems. Optimisation.

TEE6221 FUNDAMENTALS OF COMMUNICATION ENGINEERING II
Statistical analysis of large-scale communication systems subject to noise and multipath fading.

TEE6222 SIGNAL DETECTION PRINCIPLES
Optimum signal detection reception over linear average white Gaussian noise channels. Fourier series representation of random signals and derivation of minimum mean square error (MMSE) receivers.

TEE6223 MOBILE AND PERSONAL COMMUNICATION SYSTEMS
Design and performance analysis of wireless communication systems: advanced modulation techniques, optimum receiver design, dispersive channels multipath propagation, multi-signal interference, error control

TEE6225 COMMUNICATION CIRCUIT DESIGN
Design and performance testing of low-noise amplifiers, oscillators, filters.

TEE6226 DIGITAL SIGNAL PROCESSING
Differential equation characterisation of digital filters, transform analysis, spectral analysis, design and implementation of filters, practicals on aliasing, digitalisation, and applications.

SCS6103 COMPUTER COMMUNICATION AND NETWORKS
See the Faculty of Applied Science, Department of Computer Science Listing.

SCS6106 SIMULATION AND MODELLING
See the Faculty of Applied Science, Department of Computer Science Listing.

TEE6201 ENGINEERING PROJECT MANAGEMENT
The entrepreneur, project planning, implementation and review, decision making factors, problem formulation and solution using optimisation theory, finite mathematics, and statistical techniques.

TEE7129 MASTER'S THESIS
Topic selected with the approval of the supervisor and the chairman of the department.