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Nov 21, 2024
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2019-2020 Undergraduate/Online Catalog [ARCHIVED CATALOG]
Computer and Information Science, Individualized Concentration/Computer Information Science, Scientific Computing Concentration, B.S. /M.S.
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The undergraduate hours consist of: 1) 18 semester hours of Foundations courses, 2) 30 semester hours of General Education, 3) 13 semester hours of Experiential Learning, and 4) 35 semester hours of Computer & Information Science program courses, and 5) 15 semester hours of Computer Science concentration courses. The graduate hours consists of: 1) 15 semester hours of Computer Information Science core courses, 2) 6 semester hours of Computer Information Science Experiential Learning, and 3) 15 semester hours of Scientific Computing courses.
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BS Computer and Information Science Requirements (35 semester hours):
BS Individualized Concentration Requirements (15 semester hours):
- 300-400 level CISC courses (not required in Core) (9 semester hours)
- 400 level CISC courses (not required in Core) (6 semester hours)
MS Computer Information Science Requirements (15 semester hours):
- CISC 520 - Data Engineering & Mining (3 semester hours)
- CISC 525 - Big Data Architecture (3 semester hours)
- CISC 530 - Computing Systems Architecture (3 semester hours)
- CISC 603 - Theory of Computation (3 semester hours)
- CISC 610 - Data Structures & Algorithms (3 semester hours)
MS Scientific Computing Concentration Requirements (15 semester hours):
- CISC 600 - Scientific Computing I (3 semester hours)
- CISC 601 - Scientific Computing II (3 semester hours)
- CISC 614 - Computer Simulation (3 semester hours)
- Elective (3 semester hours)
or
- CISC 691 - Current Topics in Scientific Computing (3 semester hours)
- Elective (3 semester hours)
or
- CISC 681 - Special Topics in Scientific Computing (3 semester hours)
MS Experiential Learning Requirements (6 semester hours):
- GRAD 695 - Research Methodology and Writing (3 semester hours)
- GRAD 699 - Graduate Thesis (3 semester hours)
or
- CISC 699 - Applied Project in CISC (3 semester hours)
Recommended Sequence for the Full-time Student
The sequence that appears below was developed based upon the availability of specific courses each semester and the successfuL completion of course prerequisites. Fourth Year
*Graduate courses (see Graduate Catalog for course descriptions)
Fall Semester
- CISC 300-400 Level Elective (3 semester hours)
- CISC 400 Level Elective (3 semester hours)
- CISC 498 - Project II (3 semester hours)
- CISC 530 - Computing Systems Architecture (3 semester hours) *
- CISC 610 - Data Structures and Algorithms (3 semester hours) *
Fall Semester
- CISC 525 - Big Data Architecture (3 semester hours)
- CISC 601 - Scientific Computing II (3 semester hours)
- GRAD 695 - Research Methodology & Writing (3 semester hours)
- Elective (3 semester hours)
or
- CISC 691 - Current Topic in SCMP (3 semester hours)
Spring Semester
- CISC 520 - Data Engineering & Mining (3 semester hours)
- CISC 614 - Computer Simulation (3 semester hours)
- GRAD 699 - Graduate Thesis (3 semester hours)
or
- CISC 699 - Applied Project in CISC (3 semester hours)
- Elective (3 semester hours)
or
- CISC 681 - Special Topic in SCMP (3 semester hours)
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