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Course Criteria
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3.00 Credits
Introduction to the problems and techniques of vision from a computational perspective. Discussion includes computational theories of vision and particular topics such as image formation, image processing, linear systems, Fourier transforms, mathematical morphology, edge and contour detection, shape from shading, stereo, motion, surface reconstruction, robust techniques, three-dimensional representation and reasoning, object recognition, and computational geometry. Prerequisites/Corequisites: Prerequisites: CSCI 2300 or equivalent and programming experience. When Offered: Fall term annually. Credit Hours: 3
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3.00 Credits
An in-depth study of algorithms for mobile robots focusing on motion planning, localization, mapping, navigation, sensor fusion, and robot software architectures. The unifying themes of this course are navigation in known and unknown environments and structuring software to control mobile robots. Class activities include readings from the research literature and a series of programming projects. Prerequisites/Corequisites: Prerequisites: CSCI 2300 and MATH 2010 or permission of instructor. When Offered: Spring, odd-numbered years. Credit Hours: 3
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3.00 Credits
Building graphical user interfaces, or GUIs, are the norm in modern computing. Once a user interface concept is designed and tested, it must be implemented by programming teams on specific hardware platforms. How the interface is specified is a real challenge. Likewise, a number of standards and tools exist that establish the "look and feel" of the interface. Introduces the history of GUIs; shows how they can be specified; presents the concept of event-driven programming upon which they are based, and discusses their current status, and compares today's standards such as Macintosh, Motif, and MS Windows. It also predicts the future based on current computer capabilities and interface trendsPrerequisites/Corequisites: Prerequisite: user interface design experience. Credit Hours: 3
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3.00 Credits
A survey of fundamental issues in design of efficient programs for parallel computers. The topics discussed include models of parallel machines and programs, efficiency of parallel algorithms, programming styles for shared memory, message passing, data parallelism, and using MPI in scientific parallel programs. Parallel programming project required. Prerequisites/Corequisites: Prerequisite: CSCI 4210 or equivalent. When Offered: Offered on availability of instructor. Credit Hours: 3
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3.00 Credits
This course will provide an introductory survey of the main topics in data mining and knowledge discovery in databases (KDD), including: classification, clustering, association rules, sequence mining, similarity search, deviation detection, and so on. Emphasis will be on the algorithmic and system issues in KDD, as well as on applications such as Web mining, multimedia mining, bioinformatics, geographical information systems, etc. Prerequisites/Corequisites: Prerequisites: CSCI 2300 and MATH 2800. When Offered: Fall term annually. Credit Hours: 3
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3.00 Credits
This course is a continuation of CSCI-4380 and presents a more theoretical approach to logical and physical database design. It covers such topics as algorithms for logical database design, primary and secondary indexing techniques, query processing and query optimization, and database security. Problems of interfacing a database system with an operating system and some of the issues in implementing distributed database systems are also discussed. Much of the material comes from recent research papers. A term paper may be required. Prerequisites/Corequisites: Prerequisite: CSCI 4380. When Offered: Offered on availability of instructor. Credit Hours: 3
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3.00 Credits
A survey of traditional database systems is followed by an examination of differences between applications of those systems and engineering applications. Database systems for engineering applications are described including the concepts of long transactions, version control, object-oriented support, and concurrent engineering. Prerequisites/Corequisites: Prerequisite: CSCI 4380 or equivalent or permission of instructor. When Offered: Offered on availability of instructor. Credit Hours: 3
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3.00 Credits
The use of language theory and automata theory in the design of compilers. Syntax-directed compilers. Lexical analysis and computer implementation of finite state machines. Syntax analysis, parsing versus restructuring. Top-down and bottom-up parsing algorithms. TD(k) and LR(k) grammars. The Younges algorithm. Syntax-directed transducers. Prerequisites/Corequisites: Prerequisites: CSCI 6050 or equivalent and knowledge of PASCAL, C, or LISP. When Offered: Offered on availability of instructor. Credit Hours: 3
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3.00 Credits
This course studies theoretical foundations -namely Petri nets, process calculi, actors, join calculus, and mobile ambients-and practical issues in the design of concurrent and distributed programming languages. We compare communication and synchronization aspects in actor, process, and object-oriented concurrent programming models. Current research on coordination, mobility, naming, security, fault-tolerance, and scalability within the course contest is reviewed.Prerequisites/Corequisites: Prerequisites: CSCI 4430 and CSCI 4220 or equivalent or permission of instructor. When Offered: Spring term annually. Credit Hours: 3
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3.00 Credits
This course covers fundamentals of distributed computing algorithms. The algorithms are studied for particular commonly used distributed computing system models such as: shared memory, message passing, and peer-to-peer systems. Some of the distributed computing problems studied are: mutual exclusion; leader election; Byzantine agreement; spanning trees; vertex coloring. This course also studies distributed routing algorithms for store-andforward, optical wireless and sensor networks. Prerequisites/Corequisites: Prerequisite: CSCI 2300. When Offered: Spring term annually Credit Hours: 3
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