
Dr. J. H. Kim, Director
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Research in ongoing in the areas of computer vision, statistical pattern recognition, communication system, and signal processing. This program includes theories and application related communication systems, signal processing, image processing, pattern recognition and computer vision; employing various techniques, such as signal detection, speech recognition, 3-D image modeling, Topics include routing and flow-control techniques suitable for high-speed digital networks, switching architectures and protocols for heterogeneous networks of various sizes. Such networks include ATM networks, as well as modeling and analysis of an integrated mixture of different traffic types and sources suitable for the Integrated Service Digital Network. |
Course List
UNDERGRADUATE COURSES:
|
Courses |
Titles |
Hours |
Semester |
|
ELEN-400 |
Linear Systems and Signals |
3 |
Fall/Spring |
|
ELEN-449 |
Introduction to Communication Systems |
3 |
Spring |
|
ELEN-452 |
Wireless Communication Systems |
3 |
Fall |
|
ELEN-459 |
Digital and Data Communications |
3 |
Fall |
600 LEVEL COURSES:
|
Courses |
Titles |
Hours |
Semester |
|
ELEN-647 |
Introduction to Telecommunication Networks |
3 |
Spring |
|
ELEN-650 |
Digital Signal Processing-I |
3 |
Fall |
|
ELEN-651 |
Digital Signal Processing Laboratory |
2 |
Fall |
|
ELEN-656 |
Probability and Random Processes |
3 |
Fall |
|
ELEN-657 |
Image Processing |
3 |
Spring |
|
ELEN-685 |
Selected Topics in Engineering |
3 |
Fall/Spring |
|
ELEN-686 |
Special Projects |
1-3 |
Fall/Spring |
700 LEVEL COURSES:
|
Courses |
Titles |
Hours |
Semester |
|
ELEN-749 |
Digital Communications |
3 |
Fall |
|
ELEN-752 |
Wireless Information Networks |
3 |
Spring |
800 LEVEL COURSES:
|
Courses |
Titles |
Hours |
Semester |
|
ELEN-847 |
Telecommunication Networks |
3 |
Fall |
|
ELEN-848 |
Information Theory |
3 |
Spring |
|
ELEN-849 |
Data Communications |
3 |
Spring |
|
ELEN-850 |
Digital Signal Processing-II |
3 |
Spring |
|
ELEN-857 |
Pattern Recognition |
3 |
Fall |
|
ELEN-869 |
Machine Vision for Intelligent- Robotics |
3 |
Fall |