EE Courses
There are four fields in the undergraduate study:
Communications, Control Chip and Systems, Integrated Circuits,
and Computer Systems. Every undergraduate student has to take
at least two courses from each field for graduation requirement.
The senior students can also take the graduate courses.
Undergraduate
Courses
- Introduction to Computer Science
- Linear Algebra - introduction to the fundamental of
linear algebra, such as systems of linear equations and matrices
determinants, vector space, inner product spaces, eighenvalues
eigenvectors and linear transformations.
- Circuits Theory - electric circuit analysis to solve
circuits in the time, phase and frequency domain in conjunction
with computer-aided analysis.
- Engineering Mathematics - this course is intended to
introduce students of engineering, science to some of the mathematics
and mathematical modeling employed by these disciplines, and
to do so in a way that displays the mathematics as being useful
and interesting while maintaining its integrity. The main parts
of the two-semester course are organized as follows: differential
equations, Laplace transform, vectors and matrices, vector differential
and integral calculus, Fourier analysis, and Complex analysis
..., etc.
- Electromagnetism I - vector analysis, Coulomb's law,
Gauss's law, static fields in conditions and dielectrics, polarization,
boundary conditions, capacitance calculation, static electric
energy and force, Poison's and Laplace's equations, methods
of images, boundary value problems, steady current and Ohm's
law, resistivity calculation, Biot-Savart's law, Ampere's circuits,
magnetic dipoles, magnetization, magnetic circuits, boundary
conditions inductance calculation, static magnetic energy and
force.
- Computer Engineering Applications I - study of the
INTEL8086-family assembly language programming, including the
introduction to computer organization, addressing modes, various
instructions and their applications, and program design and
debugging. Prereq: Introduction to Computers.
- Computer Engineering Applications II - study of numerical
analysis, including errors, polynomial interpolation, solution
to nonlinear equations, numerical integration, numerical differentiation,
numerical linear algebra, computations of matrix eigenvalues,
and curve fitting. Prereq: CLanguage Programming.
- Data Structures - study of data structures, including
stacks, recursion, queues, lists, trees, sorting, searching,
and graphs. Prereq: introduction to computers and C language
programming.
- Electronic - this course is the first part of a 3 semester
series in electronics.
- Digital System Design - base on the previous learning
of logic design, principles and hardware design of digital computers
and microprocessor-based logic systems are introduced.
- Control system - introduction to the analysis ad design
of control systems from the time-domain and frequency-domain
approaches.
- Industrial Control System Technology - Introduction
to industrial control system technology, this includes the concepts,
principles, procedures, and computations used by engineer, and
technicians to select, analyze, specify design and maintain
all parts of a control system. Emphasis is on the application
of established industrial control system.
- Electromagnetism II - Faraday's law, electromagnetic
induction, Maxwell's equations, electric and magnetic potentials
in time-varying fields, boundary conditions, wave equation and
its solution, propagation of uniform plae waves in different
media, time-harmonic fields, Doppler effect, propagation of
electromagnetic energy, Poynting's theorem, normal and oblique
incidences on different interfaces, parallel and perpendicular
polarizations, brief discussions on transmission lines.
- Intro. to Microprocessor - study of software
and hardware architectures of the INTEL microprocessors, including
software architectures under the protected mode, advanced assembly
language programs, memory interface, I/O interface, interrupts
and direct memory access. Prereq: computer engineering applications
I or the INTEL family assembly language programming.
- Microprocessor Applications - emphasis on the design
of microprocessor-based systems at the board level. Detailed
study of the microprocessor bus transfers, memory system design
and interfacing , industry system buses, and microprocessor
caches and MMus.
- Electronic Materials - Quantum statistics, crystal
structures, thermal properties of materials, band theory of
solids, conductivity of solids, factors affecting resistivity,
thermoelectricity, polarization, piezoelectricity. magnetism
of materials, magnetic properties of materials, ferromagnetic
materials, ferromagnetic materials.
- Communication Systems - generalized Fourier series,
Fourier transform, sampling theory Hilbert transform, linear
modulation (AM, DSB, SSB), angle modulation (FM, PM), pulse
modulation, multiplexing probability and random variables, random
process and noise, signal- to-noise ratios, noise in modulation
system.
- Electromagnetic Waves - Maxwell's equations, propagation
of electromagnetic waves, transmission line equations, characteristics
of transmission lines, reflection and transmission coefficients,
standing wave ratio. Smith chart, impedance matching, micro
strips and digital transmission lines, rectangular waveguides.TE
and TM modes, circular waveguides, resonators, optical and dielectric
waveguides, parameters and characteristics of antennas, dipole
and slot antennas, broad band and array antennas.
- Signal & System - the object of this course is
to present the technologies of analyzing linear systems. Primary
emphasis on Fourier transform, Laplace transform and Z-transform.
- Communication Electronics - the object of this course
is to present a study of digital communications. Primary emphasis
on basic pulse modulation, base band pulse transmission, digital
passband transmission, error correcting codes, and information
theory.
- Digital Image Processing - introduction to digital
image processing. Primary emphasis on discrete image mathematical
characterization, image quantization, image enhancement, image
restoration models, geometrical image modification, morphological
image processing, edge detection, image feature extraction,
image segmentation, shape analysis, image detection and registration.
- Digital Signal Processing
- Real-time Software Design - study of the design and
implementation of real-time systems especially to meet the requirements
of hard real-time applications. Topics include the survey of
typical real-time systems; the design, implementation, verification,
and testing of real-time systems, Both the application level
and the system level views are taken.
- Advanced Digital System Design
- Fuzzy Theory - introduction to fuzzy set, fuzzy relation,
fuzzy logic, fuzzy inference and their applications.
- Optical Fiber Communication - an introduction to optical
fiber communications. Primary emphasis on optical fibers, signal
degradation in optical fibers, optical sources, power launching,
power coupling. photodetectors, optical receiver operation,
digital transmission systems, analog systems, coherent optical
fiber communcations, advanced systems and techniques.
- Intro. to Fiber Optic Communication System - primary
emphais on fiber properties, optical sources, optical receivers,
splices, connectors, couplers, optical link design, fiber-optic
networks, coherent techniques, wavelength-division multiplexing,
fiber-optic sensors and fiber fabrication.
- Intro. to Parallel Processing - exploring topics on
parallel processing in a multiprocessor system, including interconnection
networks; mapping processes to processors and scheduling; parallel
programming languages, techniques, and environments.
- Advanced Digital System Design
- Integration of Mechanics and Electrics
- ISDN (Integrate Service Digital Network)
Post-graduate Course
VLSI & Computer Area:
Students and faculty in integrated circuits and computer systems
are engaged in research in communications and RF integrated circuit
design, analog and digital signal processing microsystems, integrated
microsensors, associated low-power microelectronics, reconfigurable
computing systems, multimedia and communications processors, circuit
testing, parallel processing, networking, and CAD/CAM. Current
projects include wireless transceiver integrated circuits, including
RF and baseband circuits, high-speed data communications integrated
circuits, A/D and D/A converters, networking electronics, digital
processor design, IP design, SOC design, wireless LAN, and parallel
and distributed system designs.
- VLSI Design Description of the design methodology and
MOS circuit concepts to the design of CMOS VLSI circuits. The
overall emphasis is on the VLSI design concepts, environments
and circuit optimizations. CMOS technology and devices are also
shown.
- Analog IC Design The contents of the course involve
those of operational Amplifier, Comparator, Filter, ADC and
DAC, etc. Case study will be given in this course, some basic
circuits and s ubsystems will be designed, fabricated, and measured.
- Intro. to Parallel Processing Exploring topics on parallel
processing in a multiprocessor system, including interconnection
networks; mapping processes to processors and scheduling; parallel
programming languages, techniques, and environments.
- Parallel Processing Study of various parallel computer
architectures. Topics include interconnection networks; pipe
lining and superscalar techniques; multiprocessors and multicomputers;
multivector and SIMD computers; scalable, multithreaded and
data flow architectures; and parallel program development and
environments.
- Analog Filter & System Design
- Digital IC Design Will discuss the design methodology
and circuit concepts of high performance MOS/bipolar/biCMOS
digital integrated circuits. The design optimizations and applications
of various new digital integrated circuits are also described.
- Computer-Aided Simulation Using various circuit analysis
programs to analyze electric and electronic circuits for transient,
DC, AC, and Fourier analysis. Also printed-circuit boards layout.
- MOS Memouy IC Design Introduction ot the design of
MOS semiconductor memories including ROMs, EPROMs, SRAMs, DRAMs,
memory cells, sense amplifiers, etc. The various aspects of
semiconductor memouies - history, market, applications, technology,
are also described.
- Advanced Digital System Design
- ISDN (Integrate Service Digital Network)
Control Systems Area:
Faculty and students in the control systems field conduct research
in control, power systems, power electronics, data storage, system
on chip, fuzzy control, neural systems, and identification of
dynamic systems, including deterministic and stochastic, linear-
and nonlinear-, and finite- and infinite-dimensional systems.
Topics of particular interest include adaptive, distributed, nonlinear,
optimal, and robust control, with applications to autonomous systems
and smart structures.
- Digital Control General introduction to digital control
systems; time-domain and Z-domain analysis; Frequency domain
analysis of digital control, emphasis is placed on PID controller,
phase-lead and phase-lag controller; Dead best response design.
- Intelligent Control Introduction to new aspects of
self- learning control structure. Neural networks in conjunction
with fuzzy decision logic are presented as key enabling technologies
to achieve a higher control performance.
- Integration of Mechanics and Electrics
Communication Systems Area:
Communications research is concerned with communications, telecommunications,
wireless networking, electromagnetic, signal processing, and information
processing principles and their engineering applications.
- mobile Communication System
- Digital Signal Processing
- Electromagnetic Theory Generalized Maxwell's equation,
EM boundary value problem, Green's function, Eigenfunction expansion
techniques, Conservation of EM energy, EM radiation from simple
sources, general EM field, Hertzian potentials, Dyadic Green
functions.
- Knowledge Engineering The object of this course is
to present how a neural network can serve as the knowledge base
for an expert system.
- Signal Modulation System and Detection This is a first
level graduate course in digital communications. The course
covers digital modulation techniques including estimation and
detection theories. Studies include BPSK, FSK, NFSK, QPSK, OQPSK,
MSK, DPSK signaling schemes in AWGN environment, performance
and power spectra for various digital schemes.
- Digital Signal Processing
- Digital Speech Processing
- Measurement System Analysis The goal of measurement
system analysis is to introduce principles of measurement using
state-of- the art electronic instruments and instrumentation
systems. It presents a systematic view of measurement technology,
including data and data analysis, instrumentation circuits,
specific instruments, and a variety of measurement systems.
- Neural Network The object of this course is to present
a study of artificial neural networks. Primary emphasis on basic
structures of neural networks, learning algorithms and applications.
- Pattern Recognition The object of this course is to
present the theory of pattern recognition and its applications
such as speech recognition, optical character recognition, and
biomedical signal processing etc.
|
|
