IT 481 Senior IT Design Project, 3 cr hrs ea
Prerequisites: IT 326, 330, 353, and 373 with a grade of C-minus or higher
Co-requisites: IT 363
In this capstone course for IT majors, students begin a two-semester
practical research project designed to integrate coursework in computer
science and business management in order to identify, analyze, and implement
a solution to a practical information technology problem posed by a public,
nonprofit, or business organization. The first semester is focused on
characterizing the problem(s), identifying technical requirements,
articulating the feasibility of and business case for a practical solution,
and establishing project goals. Regular meetings with faculty and client, a
final report, and an oral presentation are required. Typically offered in the
Fall semester.
IT 482 Senior IT Design Project, 3 cr hrs ea
Prerequisites: IT 481 with a grade of C-minus or higher
Prerequisites / Co-requisites: IT 321, 382, 462, 466
IT 482 must be taken in the semester immediately following IT 481 to
maintain project continuity. This course is focused on evaluating
alternative approaches to solve the problem(s) identified in IT 481,
specifying a technical solution(s), and designing and implementing the
selected solution. A final report and oral presentation to faculty,
reviewers, and the client are required. Typically offered in the Spring
semester.
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For an undergraduate minor, based on previous conversations with Oleg Makhnin and Ramyaa, we had On the Math side, MATH 2420 (Intro to linear algebra) MATH 382 (Intro to probability and statistics) plus lab (the lab is done in R) MATH 441 (Statistical Machine Learning) (uses R) Students majoring in MATH and CS are already required to take MATH 2420 and MATH 382 as major requirements. Math majors can use MATH 441 as one of their required senior math electives. On the CS side, CSE 107 (Python) (For students who've done the CSE 113 route, an alternative would be to have a 1-credit practicum in Python) An introductory course in databases (but CSE 373 has prerequisites of CSE 113 (implicitly), CSE 122 and CSE 241) Data visualization (CSE 476, but CSE 122 prerequisite is an issue) CSE 464 Neural Nets/Soft Computing (CSE 122 is an issue again) The prerequisites for some of the CS courses are an issue for non-CS majors. Basically, they'd need CSE 113 and CSE 122 unless there's a rethink on the prerequisites and programming languages used for some of the CS courses. Assuming no change in the prerequisites for the CS courses, you'd end up with MATH 2420 MATH 382 MATH 441 CSE 107 CSE 113 CSE 122 CSE 373 CSE 464 CSE 476 You could certainly ask students to select two or three courses from MATH 441, CSE 373, CSE 464, and CSE 476 to reduce the credits. There are additional MATH and CSE courses that might be relevant that could be offered as part of a list of data science electives. e.g. MATH 483 (Mathematical Statistics and a possible new undergraduate course in geostatistics. For students majoring in MATH or CS, these requirements wouldn't be onerous. Math majors already have to take 3 of the course (MATH 2420, MATH 382, and CSE 107 or CSE 113), so they'd have an additional 6 courses, which is normal for a minor. Similarly, CS students already have to take MATH 2420, MATH 382, CSE 113, and CSE 122, so the minor would be five courses. Currently, students who are majoring in math and interested in data science typically take CS courses for their 18 credit sequence outside of math and can effectively implement this program. Some CS students seem to be doing the same thing within the CS major. For students majoring in some other STEM field, this could be a lot for a minor. The only way that I can see to dramatically reduce the requirements and keep the upper-division courses would be to find a way to avoid requiring both CSE 113 and CSE 122.