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Course Criteria
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3.00 Credits
Theory and programming paradigms that enable systems to understand human language texts and extract useful information and knowledge. For example, extraction of structured event representations from news stories or discovering new research hypotheses by analyzing thousands of medical research articles. the course covers a variety of text analysis and text mining methods, with an emphasis on building working systems. Connections to information retrieval, data mining, and speech recognition will be discussed. 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 Course Attributes: CSCI Technical Elective
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3.00 Credits
This capstone course is designed as a project course whose purpose is to enable students to see how the various algorithms and systems they have learned about in their prerequisite courses can be used in context to create useful knowledge management tools. Class periods will be divided among discussion of design of information and knowledge management systems, lectures on effective project management techniques, and hands-on advising of student project group meetings. 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 Course Attributes: CSCI Technical Elective
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3.00 Credits
Discussion of the impact of computer technology on present and future society. Historical development of the computer. Social issues raised by cybernetics. 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 Course Attributes: Communications Requirement
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3.00 Credits
Study of the principles and practices of software engineering. Topics include software quality concepts, process models, software requirements analysis, design methodologies, software testing and software maintenance. Hands-on experience building a software system using the waterfall life cycle model. Students work in teams to develop all life cycle deliverables: requirements document, specification and design documents, system code, test plan, and user manuals. 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 Course Attributes: Communications Requirement, CSCI Technical Elective
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6.00 Credits
(Credit: Variable) Instructor permission required. 1. 000 TO 6.000 Credit Hours 1. 000 TO 6.000 Other hours Levels: Undergraduate Schedule Types: Independent Study/Research College of Science & Letters College Computer Science Department
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6.00 Credits
This course will treat a specific topic, varying from semester to semester, in which there is particular student or staff interest. (Credit: Variable) 1. 000 TO 6.000 Credit Hours 1. 000 TO 6.000 Lecture hours Levels: Graduate, Undergraduate Schedule Types: Lecture College of Science & Letters College Computer Science Department
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1.00 - 20.00 Credits
1. 000 TO 20.000 Credit Hours 1. 000 TO 20.000 Other hours Levels: Graduate, Undergraduate Schedule Types: Independent Study/Research, Lecture College of Science & Letters College Computer Science Department
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3.00 Credits
Covers advanced topics in computer graphics. The exact course contents may change based on recent advances in the area and the instructor teaching it. Possible topics include: Geometric modeling, Subdivision surfaces, Procedural modeling, Warping and morphing, Model reconstruction, Image based rendering, Lighting and appearance, Texturing, Natural phenomena, Nonphotorealistic rendering Particle systems, Character animation, Physically based modeling and animation. 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
Introduction to fundamental topics in computer vision and the application of statistical estimation techniques to this area. Intended to give the student a good basis for work in this important field. Topics include: Feature extraction, Probabilistic modeling, Camera calibration, Epipolar geometry, Statistical estimation, Model reconstruction, Statistical filtering, Motion estimation, Recognition, Shape from single image cues. 3. 000 Credit Hours 3. 000 Lecture hours Levels: Graduate Doctoral, Graduate Business, Graduate Schedule Types: Lecture College of Science & Letters College Computer Science Department
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3.00 Credits
Overview of database architectures, including the Relational, Hierarchical, Network, and Object Models. Database normalization and design. Implementation issues for database management systems, including the processing and parsing of SQL queries, query optimization, integrity, and concurrency control. Distributed and parallel databases and data warehouse issues are addressed. Solid programming skills are required. Implementation of a database management engine prototype is required. No credit is given for both this course and CS 425. 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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