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Courses - Fall 2025
CMSC
Computer Science Department Site
Open Seats as of
01/14/2026 at 09:30 AM
CMSC422
(Perm Req)
Introduction to Machine Learning
Credits: 3
Grad Meth: Reg
Prerequisite: Minimum grade of C- in CMSC320, CMSC330, and CMSC351; and 1 course with a minimum grade of C- from (MATH240, MATH341, MATH461, ENEE290); and permission of CMNS-Computer Science department.
Machine Learning studies representations and algorithms that allow machines to improve their performance on a task from experience. This is a broad overview of existing methods for machine learning and an introduction to adaptive systems in general. Emphasis is given to practical aspects of machine learning and data mining.
GEMS
Gemstone
GEMS496
Project Writing Seminar
Credits: 2
Grad Meth: Reg
Prerequisite: GEMS397.
Restriction: Must be in the Gemstone program.
This is the fifth of six seminars during which Gemstone students carry out research with the guidance of a faculty mentor. The team finishes the analysis of their data and writes and edits its team thesis.