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Course Criteria
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3.00 Credits
Covers basic algorithms and techniques used in Machine Learning, to give the student a good basis for work in this highly relevant field. Topics include: Version space learning, Computational learning theory, PAC-learning, VC-dimension, On-line learning, Winnow, Perceptrons, Neural Networks, Back propagation, Genetic algorithms, Bayesian learning, Experimental design, Decision-tree learning, Covering algorithms for learning rule sets, Minimum description length, Clustering algorithms, Reinforcement learning, Markow decision processes. 3. 000 Credit Hours 3. 000 Lecture hours Levels: Graduate Doctoral, Graduate Business, Graduate, Undergraduate Schedule Types: Lecture College of Science & Letters College Computer Science Department
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3.00 Credits
An introduction to the problems of computing with human languages. Parsing. Semantic representations. Text generation. Lexicography. Discourse. Sublanguage studies. Applications to CAI, database interfaces and information retrieval. 3. 000 Credit Hours 3. 000 Lecture hours Levels: Graduate Doctoral, Graduate Business, Graduate, Undergraduate Schedule Types: Lecture College of Science & Letters College Computer Science Department
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3.00 Credits
This course covers the state-of-the-art in architectural design of complex software systems. The course considers commonly-used software system architectures, techniques for designing and implementing these architectures, models and notations for characterizing and reasoning about architectures, and case studies of actual software system architectures. 3. 000 Credit Hours 3. 000 Lecture hours Levels: Graduate Doctoral, Graduate Business, Graduate, Undergraduate Schedule Types: Lecture College of Science & Letters College Computer Science Department
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3.00 Credits
Concepts of software product and process quality. Role of TQM in software project management. Use of metrics, feasibility studies, cost and effort estimates. Discussion of project planning and scheduling. The project team and leadership issues. The Capability Maturity Model: basic tenets and application of process evaluation. 3. 000 Credit Hours 3. 000 Lecture hours Levels: Graduate Doctoral, Graduate Business, Graduate, Undergraduate Schedule Types: Lecture College of Science & Letters College Computer Science Department
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3.00 Credits
Software development process improvement is a major objective of this course. This is achieved through a series of individual programming and process projects. Students learn to plan their projects, apply measurements, estimate size, schedule tasks, and classify defects in order to improve the quality of both their development process and their software products. 3. 000 Credit Hours 3. 000 Lecture hours Levels: Graduate Doctoral, Graduate Business, Graduate, Undergraduate Schedule Types: Lecture College of Science & Letters College Computer Science Department
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3.00 Credits
Concepts and techniques for testing and analysis of software. Software testing at the unit, subsystem, and system levels. Specification-based testing. Code-based testing. Model-based testing. Methods for test generation and validation. Static and dynamic analysis. Formal methods and verification. Reliability analysis. 3. 000 Credit Hours 3. 000 Lecture hours Levels: Graduate Doctoral, Graduate Business, Graduate, Undergraduate Schedule Types: Lecture College of Science & Letters College Computer Science Department
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3.00 Credits
Investigation and discussion by faculty and students concentrated on some topic of current interest. May be taken more than once. Prerequisite: Instructor permission required. 3. 000 Credit Hours 3. 000 Other hours Levels: Graduate Doctoral, Graduate Business, Graduate Schedule Types: Seminar College of Science & Letters College Computer Science Department
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20.00 Credits
Instructor permission required. 1. 000 TO 20.000 Credit Hours 1. 000 TO 20.000 Other hours Levels: Graduate Business, Graduate Schedule Types: Independent Study/Research College of Science & Letters College Computer Science Department
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20.00 Credits
Instructor permission required. 1. 000 TO 20.000 Credit Hours 1. 000 TO 20.000 Other hours Levels: Graduate Schedule Types: Independent Study/Research College of Science & Letters College Computer Science Department
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12.00 Credits
This course will treat a specific topic, varying from semester to semester, in which there is a particular student or staff interest. May be taken more than once. (Credit: Variable) 3. 000 TO 12.000 Credit Hours 3. 000 TO 12.000 Lecture hours 3. 000 TO 12.000 Other hours Levels: Graduate Doctoral, Graduate Business, Graduate, Undergraduate Schedule Types: Independent Study/Research, Lecture College of Science & Letters College Computer Science Department
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