This course covers the use of Object-Oriented Program (OOP) to develop computer simulations for engineering problems. Programming with the C++ and Matlab languages, OOP concepts including classes, inheritance and polymorphism, programming with class libraries, Event driven simulation techniques in an object oriented environment, programming projects including the development of a simulator for and engineering application
The objectives of this course are to: â€¢ Provide students with the tools and concepts used for the design and analysis of control systems. â€¢ Introduce students to some advanced concepts in Control Systems Engineering and their applications e.g. PID controllers, robust control â€¢ Use MATLAB as a software approach for the design and analysis of advanced control systems
This course exposes students to The scope of digital signal processing: Sampling and analog to digital conversion Types of digital signals, random, Gaussian Time Domain Analysis of Signals Frequency Domain Analysis Digital Filters Applications of DSP
This course is designed primarily for the students in electrical/electronic engineering disciplines. However, it also meets the need of students in other fields, as a course that provides knowledge on how to handle electro-mechanical engineering enterprises or related field. Topics to be covered include Lighting installations; Basic power installations; Power supply and distribution Systems; Regulations -IEE, NEC Nigerian Standards; management; Choice of cable and conductor; wire systems and accessories; Outdoor low voltage lines and cables; Protection of low voltage installation; design of electrical installation â€“domestic, industrial, and commercial. Earthing and testing of electric installations. Proposals and contract document preparation. The use of AutoCAD.
This course introduces the principles and applications of information theory. It attempts to explain how information is measured in terms of probability and entropy, and the relationships among conditional and joint entropies; how these are used to calculate the capacity of a communication channel, with and without noise; coding schemes, including error correcting codes using block and convolution codes. Furthermore, the course explains elements of signal randomness, autocorrelation functions and power and cross-power spectral densities; and how signal processing or information can be optimized.
This course exposes students to Modelling of power Systems components: Transmission line, Transformers and synchronous machines Single line Representation of Three phase systems, per unit system representation Power Flow Analysis: Power flow equations; Solution by Gauss-sidel , Newton-Raphson and other methods Control of Voltage, Real Power and Reactive power flow problems Load Forecasting Principles:(a) Short term (daily, weekly, quarterly and annual); (b) Long term (half decade, decade); Applications of load forecasting Economic Operation of Power Systems: Generating systems, power transfer systems
The course is one of the core courses of the Department of Electrical and Electronics Engineering. The aim of this course is to present the basic principles that emphasize the analysis and design of digital communication systems. Principle of digital communication involves the transmission of information in digital form from the source of the information to single or multiple destination(s). The block that connects the source of information and the destination is the channel. The physical communication channels have different characteristics that influence the performance of the system. The characteristics of the channel generally affect analysis and design of the basic building blocks of the communication systems. This course is intended for students majoring in electrical and electronics engineering and related engineering disciplines. It can assist graduate students and practising engineers who wish to improve their knowledge on digital communication systems. The course is to introduce students to basic components of digital communication systems so that they will be able to analyse and design an optimal system under any given constrain. Topics to be covered include Digital signals and characters. Serial and parallel data transmission systems; The ISO-OSI layered architecture, packet switching and circuit switching, error detection and recovery (ARQ) protocols, bridges and routers, basic queuing theory, telephone switches, Erlang-B and Erlang-C blocking formulae, TCP/IP, X.25, signaling (Signaling System 7), Personal Communication Services (PCS) networks, Broadband Networks. Modulated carrier signals: Binary modulation (ASK, PSK, FSK), Spread Spectrum.
It has been observed that unreliability of various systems in engineering is due to lack of the required skill and poor maintenance culture. This course is intended for students majoring in electrical and electronics engineering and related engineering disciplines. It can assist graduate students and practicing engineers who wish to improve their knowledge on reliability and maintainability of engineering systems. The course is to introduce students to reliability engineering so that engineering techniques could be applied to prevent or reduce frequency of failures of the system. Also, ways of identifying and correcting causes of the failures. Students will also be informed about diagnosis of engineering failures, application of statistical analysis, risk analysis and quality control. Furthermore, reliability-centered maintenance (RCM) concept will be explained to students for maximizing the performance and increasing the reliability of systems. Topics to be covered include Introduction to reliability; Elementary reliability theory; Indices of reliability and failure rate models. Failure distribution reliability function; Mean time to failure; Mean time between failures; Reliability of systems; serial configuration, parallel configuration, and redundancy. Determination of reliability of electronic systems; Power systems reliability; Factors affecting power systems reliability; Power systems reliability indices â€“ customer oriented and system oriented; System maintainability; Analysis of down time. Repair-Time distribution; Exponential Repair-Time; Reliability concept in preventive maintenance; Methods of improving systems reliability
Concept of antenna radiation patterns, radiation resistance, gain, effective area, reciprocity. Travelling wave and HF antenna. Analysis, design and evaluation of antenna, small and large HF types, Special microwave antenna. Principle of range and direction finding by means of radio echoes. Requirements and limitation of radar, Modulation and microwave components of radar.
This course builds on the design and analysis of control systems introduced in EEE 401 and EEE 503. Control Systems Analysis in State Space will be treated, including the concepts of controllability and observability of control systems State space designs using pole placement for observer and servo systems as well as quadratic optimal control techniques will be discussed. Practical classes on the use of MATLAB for transformation of system models and pole placement problems will run concurrently with the lectures so as to enhance learning. Students will also be introduced to optimal control.
Fundamental of embedded systems; microprocessors for control and scheduling functions; buses and processors in entertainment devices; industrial transducers, controllers and monitoring systems.
Power System Engineering II is a specialist course designed to train students and give them insight the concept of faults in a power system, behaviour of power systems in fault mode, causes and effects of faults on other system infrastructure, especially as it affects system stability, concept of transient and steady state stability analysis of faults. Fault analysis and the importance of the results there-from to power System Engineers in the design and choice of power network protective switchgears. Fundamental principles and mode of operation of specific protective switchgears, such as circuit breakers, instrument transformers, relays etc are treated.
Researches show that the temperature of the earth is rising on daily basis due to regular emissions of carbon dioxide (CO2) into the atmosphere. The emissions of the greenhouse gases lead to global warming and greenhouse effect. Also, researchers are working on sustainability of energy by reducing the waste heat emission. This course focuses on imparting valuable expertise on the students on benefits of energy conservation and storage. Furthermore, ways of generating alternative energy so as to encourage less use of fossil fuels to have cleaner and greener planet is the focus of the course. Topics to be covered include electromechanical energy conversion: induced EMF, forces and torques in magnetic field systems; sources of electrical and motive power; dynamic equations of electromechanical systems. Solar energy and other sources of renewable energy: Wind, geothermal, and pumps energy storage. Primary and secondary cells, battery types and characteristics; battery applications in energy conversion systems, light and heavy machines and transports; testing, fault diagnosis, repairs and effect of environmental factors on battery life.
This is the second phase of investigation involving the fabrication of the designed model, calibration, testing, data collection and analysis and presentation of a written report of investigations