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CSCI 521 - Introduction to Software Project Management (3).
Description: An introduction to the economics, metrics, and management strategies required to plan and successfully execute a large software project. The fundamentals of software engineering, requirements, design and realizations are utilized to focus both software professionals and project managers on process models and practices. Notes: Offered in fall. Prerequisites: Graduate standing or CSCI 475.
3.000 Credit hours
3.000 Lecture hours
0.000 Lab hours
0.000 Other hours

Levels: Graduate, Undergraduate
Schedule Types: Independent Study/Research, Lecture

Comp Sci and Quant Methods Department

Course Attributes:
Logic Language and Semiotics

CSCI 570 - Parallel Computing (3).
Description: Survey of the architectures and algorithms to support Parallel Programming. Students will learn to program a parallel system for a variety of problem topics. Notes: Available on sufficient demand. Lab fee: $25. Prerequisites: CSCI 271 and 311.
3.000 Credit hours
3.000 Lecture hours
0.000 Lab hours
0.000 Other hours

Levels: Graduate, Undergraduate
Schedule Types: Independent Study/Research, Lecture

Comp Sci and Quant Methods Department

Course Attributes:
Logic Language and Semiotics

CSCI 581 - Special Topics in Computer Science (3).
Description: A study of a topic in the area computer science. Notes: Course may be repeated for credit. Prerequisites: Permission of chair.
3.000 Credit hours
3.000 Lecture hours
0.000 Lab hours
0.000 Other hours

Levels: Graduate, Undergraduate
Schedule Types: Independent Study/Research, Lecture

Comp Sci and Quant Methods Department

Course Attributes:
Logic Language and Semiotics

CSCI 620 - Software Design and Architecture (3).
The study of formal software design and architecture principles emphasizing an engineering approach to the software development process. Includes intermediate abstractions of software architectural styles to help bridge the gap between software needs and software solutions. Students are required to participate in a team project. Prerequisites: CSCI 475. Notes: Offered in spring.
3.000 Credit hours
3.000 Lecture hours
0.000 Lab hours
0.000 Other hours

Levels: Graduate
Schedule Types: Independent Study/Research, Lecture

Comp Sci and Quant Methods Department

CSCI 621 - Software Project Management (3).
An introduction to the economics, metrics and management strategies required to plan and successfully execute a software project. The fundamentals of software engineering, requirements, design and realizations are utilized to focus both software professionals and project managers on process models and practices. Prerequisites: CSCI 207, QMTH 205, MGMT 341. Notes: Offered in spring.
3.000 Credit hours
3.000 Lecture hours
0.000 Lab hours
0.000 Other hours

Levels: Graduate
Schedule Types: Independent Study/Research, Lecture

Comp Sci and Quant Methods Department

CSCI 670 - Principles of Information Technology (1:1.25).
Description: This course serves as a prerequisite for the MBA program for those students who have not previously taken, or need a review of, Information Systems. Does not count toward the 36 hours required for the MBA. Notes: Offered periodically.
1.000 Credit hours
1.250 Lecture hours
0.000 Lab hours
0.000 Other hours

Levels: Graduate
Schedule Types: Independent Study/Research, Lecture

Comp Sci and Quant Methods Department

CSCI 680 - Software Development (3).
Description: An extensive and intensive project involving all aspects of a software development project including teamwork, requirements specification, design, configuration, coding, testing, quality control and evaluation. Notes: Offered in spring. Prerequisites: CSCI 521 and 620.
3.000 Credit hours
3.000 Lecture hours
0.000 Lab hours
0.000 Other hours

Levels: Graduate
Schedule Types: Independent Study/Research, Lecture

Comp Sci and Quant Methods Department

CSCI 699 - Gen Computer Science Elective

3.000 Credit hours
3.000 Lecture hours
0.000 Lab hours
0.000 Other hours

Levels: Undergraduate
Schedule Types: Independent Study/Research, Lecture

Comp Sci and Quant Methods Department


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