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Course Criteria
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1.00 - 5.00 Credits
Offered periodically to meet student special interests in the field. 1.000 TO 5.000 Credit Hours 1.000 TO 5.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Science, Math, & Technology College Chem, Comp Sci, and Math Department
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1.00 - 4.00 Credits
Short courses offered on an intermittent basis to meet the needs of special constituents. 1.000 TO 4.000 Credit Hours 1.000 TO 4.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Science, Math, & Technology College Chem, Comp Sci, and Math Department
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1.00 - 5.00 Credits
Provides opportunity for individual research/study into problems of special interest in the field. By faculty permission and approval of the department chair. 1.000 TO 5.000 Credit Hours 1.000 TO 5.000 Other hours Levels: Undergraduate Schedule Types: Independent Study Science, Math, & Technology College Chem, Comp Sci, and Math Department
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2.00 Credits
Combines a range of topics integral to the design, implementation, and testing of medium-scale software systems including fundamental design patterns, software development processes and project management. Students will form teams and create a design for a medium scale software system. In addition to material on software architecture and engineering, this course also includes material on professionalism and ethical responsibilities in software development and design. 2.000 Credit Hours 2.000 Lecture hours Levels: Graduate, Undergraduate Schedule Types: Lecture Science, Math, & Technology College Chem, Comp Sci, and Math Department
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2.00 Credits
The follow up course for CSCI 301 in which students will implement, with their team, a software design from CSCI 301. Students will experience project management and software development processes directly. The course will focus on programming techniques and the last stages of the software development process, including design, validation, evolution, human computer interaction, using API's, software tools and software development environments. 2.000 Credit Hours 2.000 Lecture hours Levels: Graduate, Undergraduate Schedule Types: Lecture Science, Math, & Technology College Chem, Comp Sci, and Math Department
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3.00 Credits
Introduction to the concepts of computer architecture and operating systems, including assembly level machine organization, representation of data, memory systems, bus principles, digital logic, microprograms, functional machine architecture, RISC, CISC, parallel architectures, an overview of operating systems and operating systems principles, concurrency, and memory management. 3.000 Credit Hours 3.000 Lecture hours Levels: Graduate, Undergraduate Schedule Types: Lecture Science, Math, & Technology College Chem, Comp Sci, and Math Department
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3.00 Credits
Assisting computer users with application and instructional software, aiding peers with program development and debugging, and managing day-to-day demands of the computer lab. The course is graded P/F. 3.000 Credit Hours 3.000 Other hours Levels: Graduate, Undergraduate Schedule Types: Practicum Science, Math, & Technology College Chem, Comp Sci, and Math Department
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3.00 Credits
The practical use, operation, repair, and maintenance of computer systems and networks. Emphasizes hardware and software aspects of systems currently used in research and industry. 3.000 Credit Hours 3.000 Lecture hours Levels: Graduate, Undergraduate Schedule Types: Lecture Science, Math, & Technology College Chem, Comp Sci, and Math Department
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3.00 Credits
Advanced topics and hands-on experience with hardware and software systems used for providing internet services in industry, education and government. The course will survey systems and service options, examine how to establish and maintain services, and explore implications of new technology for future internet and intranet systems. 3.000 Credit Hours 3.000 Lecture hours Levels: Graduate, Undergraduate Schedule Types: Lecture Science, Math, & Technology College Chem, Comp Sci, and Math Department
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3.00 Credits
Introduces formal techniques to support the design and analysis of algorithms, focusing on both the underlying mathematical theory and practical considerations of efficiency. Topics include asymptotic complexity bounds, techniques of analysis, algorithmic strategies, and an introduction to automata theory and its application to language translation. 3.000 Credit Hours 3.000 Lecture hours Levels: Graduate, Undergraduate Schedule Types: Lecture Science, Math, & Technology College Chem, Comp Sci, and Math Department
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