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Course Criteria
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3.00 Credits
An elective course surveying computability theory, finite state machines, automata, parsing, grammars, and selected aspects of compiler construction. Particularly useful for students contemplating attending graduate school in computer science.
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3.00 Credits
A survey of Artificial Intelligence principles and applications, along with in-depth coverage of search techniques. Some emphasis on knowledge representation and problem-solving strategies is included.
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3.00 Credits
Application of digital image processing. Topics include image enhancement and restoration, image transforms, geometrical image modifications, edge detection, image segmentation and classification, image coding, feature extraction, morphological image processing, and parallel image processing
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3.00 Credits
Application of brain-style computing models. Topics include fundamentals of artificial neural networks, pattern classification, perceptrons, back-propagation, counter-propagation networks, Hopfield nets, bi-directional associative memories, competitive learning algorithms, and adaptive resonance theory.
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3.00 Credits
An introduction to the development of expert systems, with emphasis on the roles of domain knowledge, knowledge acquisition, expert knowledge representation, and implementation. A major project is required.
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3.00 Credits
Team projects in software design, construction, and implementation for a complex real-world application project. The capstone project offers the opportunity to integrate the knowledge acquired in preceding courses. Components that are emphasized include analysis and design, effective documentation, team management, verification and validation of implementation, and communication skills. Additional material and topics related to current projects may also be included. Final projects will be evaluated by faculty and/or Industrial Advisory Board members. Students will be expected to present their final projects on one day that may be different from a scheduled class day.
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1.00 - 4.00 Credits
Special topics selected by the department. Offered on a demand basis.
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2.00 Credits
This course examines the various aspects of computing and the computing disciplines in today's world. The students will become familiar with topics such as computer software, hardware, algorithms, and number systems. They will also be exposed to what is expected in the fields of computing and the types of job opportunities that are available, as well as the facilities and curriculum offered within the School of Computing and Software Engineering. Institutional credit only.
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4.00 Credits
This course provides an introduction to computer science with a focus on object-oriented programming within a gaming context. Instruction centers on an overview of programming, problem-solving, and algorithm development by using games as examples. Specific topics include primitive data types, arithmetic and logical operators, selection and repetition structures, interactive user input, using and designing basic classes, single dimension arrays with searching and sorting, and lists. Programming assignments focus on techniques of good programming style including proper documentation. The student is taught to efficiently design, code, and debug problem solutions. A Windows environment is used in the closed lab using XNA to be able deploy to Xbox 360s.
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4.00 Credits
Upon completion of this course, the student will have the basic concepts of structured programming using C++. This will include basic syntax and semantics for sequence, conditional, and iteration control structures, as well as single dimensional arrays. The student will also be able to solve engineering problems by designing and modularizing their solutions with proper use of functions and usage of objects. The student will also understand the techniques of good programming style and how to design, code, debug, and document program solutions. This course is intended for Engineering Majors only.
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