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Course Criteria
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3.00 Credits
This course teaches the art and science of providing an Internet presence. It will cover several types of Internet services, concentrating on the World Wide Web. The course will cover support issues related to providing more advanced WWW services, including user support, security, operations, staffing, and purchasing. Prerequisite: CSCI 340.
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3.00 Credits
General principles of stochastic simulation. Model development, analysis, and validation. Comparison of alternative models. Use of special purpose simulation languages. Prerequisites: CSCI 305 and MATH 303.
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3.00 Credits
An introductory study into data base management activities and practices using the Statistical Analysis System as related to the statistical and report writing needs of researchers. Topics such as data base display techniques, statistical significance tests, statistical modeling, graphics, and report writing will be discussed. Emphasis is on methods and computing techniques using the Statistical Analysis System. Not open to computer science majors. Prerequisites: CSCI 170; three (3) semester-hour statistics course, or concurrent enrollment in a statistics course, or approval of department head.
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3.00 Credits
Logical and physical data and file organization; hierarchical, network, and relational data models; data normalization; query facilities; current literature in the database area. Prerequisite: Grade of C or better in CSCI 273.
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3.00 Credits
A formal approach to state-of-the-art techniques in software design and development. This course includes the classic model of the software life cycle, prototyping, resource allocation in large scale software projects, software cost estimating, and project management techniques. Prerequisites: CSCI 320.
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1.00 Credits
Planned and supervised work experience in student's major field. Open only to juniors and seniors in the Department of Computer Science who are approved for the Cooperative Education Program. Grades of CR (credit) or NC (no credit) will be awarded. May be repeated for a total of 3 credits. May not be applied to fulfill major requirements.
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3.00 Credits
Technical aspects of data communications. ISO Open Systems Interconnect Model. TCP/IP protocol suite. Internetworking and routing. Prerequisite: CSCI 305.
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3.00 Credits
A formal treatment of programming language design and translation concepts. Programming language syntax and semantics. Finite and pushdown automata, scanners, symbol tables, parsers, machine-independent code generation. Prerequisite: CSCI 313.
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3.00 Credits
Fundamental concepts of graphics including enhancement, shading, two and three dimensional transformations, animations and hidden-surface problem. Prerequisites: CSCI 203, MATH 202 and Junior standing.
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3.00 Credits
An introduction to the field of Knowledge Discovery in Databases, KDD. Topics to be included are: data selection, cleaning, coding, pattern recognition, the discovery of hidden knowledge, learning rules, and data mining algorithms for large databases. Prerequisites: CSCI 455 and MATH 303.
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