Hong, Liangjie > Courses > Fall 07

Courses in which I am enrolled:

CSE 497 Advanced Topics in Communication Networks

CSE 497 is a graduate level course that covers in detail some advanced topics in communication networks. It starts with an overview of internet addressing and routing schemes, followed by topics like route security, internet topology and measurements, traffic engineering, etc. Last but not least, topics related to design of ad hoc network and disruption tolerant network will be discussed.

To provide an in-depth understanding of how internet routing (both intradomain and interdomain routing) works and how routing design for wireless networks like ad hoc networks and disruption tolerant networks vary from traditional Internet model. In addition, the students will discuss current research topics in these exciting areas e.g. new scalable internet architecture with in-built security feature. These objectives are accomplished through course lectures, paper readings, and extensive class project assignment.

Instructor: Associate Professor Mooi-Choo (Mooi) Chuah

Office Hours: Wed 4-5pm.

Schedule: Tues/Thursday 10:35-12 noon PL 258

CSE 426 Pattern Recognition

An introduction to the state of the art of pattern recognition and document image processing, and the machine-learning theory, algorithms, and systems architectures that underlie them.

Theoretical topics will include Bayesian decision theory, nonparametric methods, linear discriminant functions, neural nets, and algorithm-independent machine learning. Engineering challenges--- including trainable classification, segmentation, contextual analysis, autonomous adaptation, and 'anytime' algorithms---will be illustrated by high-performance computer vision systems selected mainly from document image analysis applications.

On completing this course, students will be sufficiently familiar with the theory, notation, and vocabulary of pattern recognition and machine learning to be able to pursue matters of interest in the current technical literature. They will also have a grasp of key engineering issues arising in applications.

Further, this course serves as an introduction to the state of the art of  Document Image Analysis which is an essential technology in digital libraries, web-based search of scholarly materials, intelligence analysis, office automation, and web-based security.  These topics are being actively researched in Lehigh's Pattern Recognition Research laboratory.

Instructor: Professor Henry Baird

Office Hours:

Schedule: Tuesdays & Thursdays, 9:20-10:35 PL 258

Textbook: Pattern Classification (2nd Ed.), R. O. Duda, P. E. Hart, & D. G. Stork, John Wiley & Sons, October 2000. 680 pages. ISBN 0-471-05669-3

CSE 411 Advanced Programming Techniques

Instructor: Professor Edwin Kay

Office Hours: MWF 9:10-10:00 AM, or by appointment

Schedule: MWF 8:10-9:00 AM PL 416

Courses in which I am a TA:

CSE 216 Software Engineering

Instructor: Dr. James Femister

Textbook: Software Engineering Process with the UPEDU, Pierre N. Robillard et al.  Addison-Wesley 2003.

CSE ECE 336 Embedded Systems

Instructor: Assistant Professor Mark G. Arnold

Textbook: David Simon, An Embedded Software Primer, Addison-Wesley, 1999