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CSE 424: Advanced Communication Networks
3.00 Credits
Lehigh University
Current and emerging research topics in communication networks: network protocols, network measurement, internet routing, network security, adhoc and sensor networks, disruption tolerant networks. Lecture, readings, and discussion, plus a project. Prerequisites: CSE 342 or CSE 404, and Math 231, or permission of instructor.
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CSE 424 - Advanced Communication Networks
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CSE 426: Pattern Recognition
3.00 Credits
Lehigh University
Bayesian decision theory and the design of parametric and nonparametric classifiers: linear (perceptrons), quadratic, nearest-neighbors, neural nets. Machine learning techniques: boosting, bagging. High-performance machine vision systems: segmentation, contextual analysis, adaptation. Students carry out projects, e.g. on digital libraries and vision-based Turing tests. This course, a version of 326 for graduate students requires advanced assignments. Credit will not be given for both CSE 326 and CSE 426. Prerequisites: CSE 109, CSE 340, Math 205, Math 231, or consent of instructor.
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CSE 426 - Pattern Recognition
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CSE 428: Semantic Web Topics
3.00 Credits
Lehigh University
Theory, architecture and applications of the Semantic Web. Issues in designing distributed knowledge representation languages, ontology development, knowledge acquisition, scalable reasoning, integrating heterogeneous data sources, and web-based agents.
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CSE 428 - Semantic Web Topics
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CSE 429: Virtual Environments
3.00 Credits
Lehigh University
Software and technology of virtual environment systems. Current research in virtual environments. User tracking, display, and view rendering hardware. VE application programming libraries, real-time rendering techniques, 3D model representations, networking systems for distributed and multi-user environments, 3D user interaction techniques.
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CSE 429 - Virtual Environments
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CSE 430: Textual Data Mining
3.00 Credits
Lehigh University
Theory and algorithms for topics in textual data mining and statistical natural language processing (NLP). Fundamental mathematics and linguistics of statistical NLP; probability theory and information theory. Text mining algorithms and applications. Practical design, implementation, application and evaluation of statistical NLP and textual data mining techniques in class projects. Prerequisite: CSE 347
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CSE 430 - Textual Data Mining
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CSE 431: Intelligent Agents
3.00 Credits
Lehigh University
Principles of rational autonomous software systems. Agent theory; agent architectures, including logic-based, utilitybased, practical reasoning, and reactive; multiagent systems; communication languages; coordination methods including negotiation and distributed problem solving; applications. Prerequisite: CSE 327 or equivalent.
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CSE 431 - Intelligent Agents
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CSE 432: Object-Oriented Software Engineering
3.00 Credits
Lehigh University
Design and construction of modular, reusable, extensible and portable software using statically typed object-oriented programming languages (Eiffel, C++, Objective C). Abstract data types; genericity; multiple inheritance; use and design of soft-ware libraries; persistence and object-oriented databases; impact of object-oriented programming on the software life cycle.
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CSE 432 - Object-Oriented Software Engineering
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CSE 435: Topics on Intelligent Decision Support Systems
3.00 Credits
Lehigh University
AI techniques used to build IDSSs: case-based reasoning, decision trees and knowledge representation. Applications: help-desk systems, e-commerce, and knowledge management. This course, a version of 335 for graduate students, requires research projects and advanced assignments. Credit will not be given for both CSE 335 and CSE 435.
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CSE 435 - Topics on Intelligent Decision Support Systems
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CSE 438: Software Architecture
3.00 Credits
Lehigh University
Design and description of software architecture for large systems. Current research topics in software architecture. Individual projects are a significant part of this course. Projects may include the design of a new architecture, reverse engineering the architecture of an existing system, or investigation of a research topic in software architecture. Prerequisite: CSE 216 or CSE 432 or consent of the instructor.
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CSE 438 - Software Architecture
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CSE 440: Graph Theory and Application
3.00 Credits
Lehigh University
Fundamental concepts of and algorithms for graphs, including: connectivity, planarity, network flows, matchings, colorings, traversals, duality, intractability and applications. Prerequisite: CSE 340 or consent of instructor.
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CSE 440 - Graph Theory and Application
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