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Teaching
Modern
electrical engineering education must prepare students to solve a wide
range of engineering problems. Thus in the classroom, I place great emphasis
on showing students how engineering fundamentals are critical to various
broader issues. I employ a variety of teaching strategies, as circumstances
seem to warrant. I try to balance theory and practice and use real-world
examples that students can relate to. To an extent limited by large class
sizes, my goal is to make every effort to actively educate the class as a
whole and to build upon the strength of my students. I consider it
important for my students to leave with, if nothing more, an understanding
of professional and ethical responsibilities and recognition of the need
for life-long learning.
Modules
taught:
EG1108 Electrical Engineering
Electrical engineering encompasses the areas
of computer applications and design, electrical power transmission and
distribution, control, communications, and electronics. EG1108 is a first
course in electrical engineering for all engineering students. As
such, it is intended to provide a broader, less thorough treatment than
might be covered in a typical first course for just electrical
engineers. On the other hand, more topics are covered to give a
greater sense of the breadth, capabilities, and usefulness of electrical
engineering in everyday life. In this course, we begin by introducing dc
circuit analysis techniques and basic circuit theorems. Next, we
introduce ac circuits, including phasors and impedance, resonance, power
factor improvement techniques. Having acquired the basic tools for circuit
analysis, we move to some interesting electrical engineering applications
in the second half of the course. We first cover two commonly used devices,
namely transformers and DC motors. Next, we look at basic power supplies
which use transformers, as well as, rectifiers. We then move to digital
circuits, beginning with simple gates and Boolean algebra, and finally look
at some of the basic instruments and measurement devices. Hands-on
experience with many of the concepts and circuits that are discussed in
lectures will be obtained in the three laboratory sessions.
EE3505 Electrical
Energy Systems
This module aims to give
the students an introductory working knowledge of modern electric energy
systems. The module is designed to help students develop a broad systems
perspective and understand the key issues in the operation of these
systems. The module concentrates on the development of a clear
understanding of the philosophy of modern power system operation, and the
systems used for large-scale generation, transmission and distribution of
electric energy. Upon completion of this course, the students will be able to analyze, model,
and predict the performance of systems and devices including single-phase
and balanced three-phase systems, transformers, and transmission and
distribution networks that make up an electric energy system. Past and
current practices, as well as trends in the operation of modern power
systems will be covered; and new requirements imposed by deregulation, open
access, and market competition are discussed. The topics covered are: Three-phase
systems; Real, reactive and apparent power. Rotating magnetic field;
Synchronous and asynchronous machines; Transformers; Single line
representation of three-phase systems; Per unit notation; Electricity
transmission networks; High voltage cables; Distribution systems; The
energy market; Cost of electricity; Singapore electricity network; Power
quality; Harmonics; Environmental effects; Renewable energy.
EE6701 Evolutionary Computation
This course explores how principles from theories of evolution
can be used to construct intelligent systems. Established evolutionary
paradigms as well as, significant new developments, including evolutionary
algorithms, evolutionary strategies, evolving neural networks, ant-colony
optimization, artificial immune systems, and swarm intelligence will be
covered. Students will be taught how these approaches identify and exploit
biological processes in nature, allowing a wide range of applications to be
solved in industry and business. Key problem domains such as
multi-objective scheduling, optimization, search, and design will be
examined. Students will gain hands-on experience in applying these
techniques to real-life problems through project work.
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