CS 568
Spring 2025 All Classes
Credit: 4 hours.
Introduces guidelines, processes, and systems for designing effective user experiences powered by machine learning models. Topics include design tradeoffs unique to data-driven products and services such as automation versus control, precision versus recall, and personalization versus privacy. Readings from human computer-interaction, product design, cognitive science, machine learning, computer vision, and natural language processing frame in-class design exercises. Students work in teams on a multi-week research project creating or auditing data-driven experiences.
Prerequisite: CS 465 or equivalent course work.
| CRN | Type | Section | Time | Day | Location | Instructor | Section Details | |
|---|---|---|---|---|---|---|---|---|
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74383
|
Lecture-Discussion
Lecture-Discussion
|
C
C
|
2:00PM
-3:15PM
2:00PM
-3:15PM
|
R
T
|
3031 Campus Instructional Facility
3031 Campus Instructional Facility
|
Kumar, R
Kumar, R
|
|
|
|
77591
|
Online
|
CO
|
ARRANGED
|
n.a.
|
n.a.
|
Kumar, R
|
|
|
|
76028
|
Lecture-Discussion
Online Lecture
|
MCS
MCS
|
2:00PM
-3:15PM
2:00PM
-3:15PM
|
R
T
|
ARR Illini Center
n.a.
|
Kumar, R
Kumar, R
|
|