(See Other Helpful Links below - Course Offering Plan)
FALL 2021
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NOT ON SPIRE - FALL 2021:
The following course is in the process of being added, but is delayed due to a change in prerequisite (as noted below) that must be approved by the Faculty Senate. The course will be announced after approval (keep checking SPIRE to enroll):
- COMPSCI 590ED Educational Data Mining and Learner Analytics, 3 credits
Instructors: Ivon Arroyo and Shiting Lan
The primary goal of this course is for students to be comfortable with exploring educational datasets and analyzing them, finding patterns in educational data, creating models that summarize and describe data, and creating predictive models, using a variety of techniques that span machine learning, data mining, and statistics. We will work with datasets that come from educational learning technologies, tutoring and assessment software, as well as other datasets that students might be interested in (e.g. datasets from students grades classes, many of which are publicly available through national sources). Students are encouraged to bring their own datasets of interest, if they have them or want to. Another goal is to understand how current researchers in the field of educational data mining, AI in Education, and educational technology are using a variety of techniques to understand and model their data. We will cover many different methods, from machine learning methods applied to educational data and classic models inspired by cognitive theory. We will also cover various applications including computerized adaptive testing, affect detection, reading and writing analysis, activity log analysis, and instructional policy design. This course counts as a CS Elective for the BS or BA.
This course will be offered to both Undergrads (-01) and Grads (-02) and is cross-listed with EDUC 590ED.
Lect 01: Open to JR/SR CS Majors with MATH 545 and COMPSCI 240 and STATS 515 C or better. MATH 545 can be skipped by students who have taken MATH 235 and MATH 233 both with B+ or better. STATS 515 can be skipped by students who have taken COMPSCI 240 with a B+ or better.
Lect 02: Open to MS-CMPSCI Students only.
TuTh 1:00-2:15 PM
The following NEW experimental courses are being reviewed by the Faculty Senate and will not appear on SPIRE until fully approved:
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Courses will be listed here once submitted to the Faculty Senate.
The following experimental course(s) has been approved by the Faculty Senate as a permanent course and will appear on SPIRE as soon as Course & Classroom Management has the opportunity to add the course:
- Courses will be listed here once submitted to the Faculty Senate.
SUMMER 2021
sUMMER 2021 - OVERRIDE Requests for CICS, COMPSCI and INFO courses
Process for students who require special permission to enroll in courses offered through UWW.
Override Information The Summer 2021 Override Form is no longer available.
Spring 2021
SPRING 2021 - OVERRIDE Requests for CICS, COMPSCI and INFO courses
Process for students who require special permission to enroll in courses offered by the college.
There are CHANGES for some students, so please read Override Infomation to see how this affects you.
Override Information The Spring 2021 Override Form is closed, as of February 8th.
Other helpful links:
Courses outside the College
Additional computer science-related courses are also offered in the Department of Electrical and Computer Engineering at UMass and at nearby Amherst, Hampshire, Mount Holyoke, and Smith Colleges. The Five College Course Catalog combines course schedule information from these colleges as well as UMass.
