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Principles of Machine Learning

CAS CS 542

Undergraduate Prerequisites: (CASCS365) - Introduction to modern machine learning concepts, techniques, and algorithms. Topics include regression, kernels, support vector machines, feature selection, boosting, clustering, hidden Markov models, and Bayesian networks. Programming assignments emphasize taking theory into practice, through applications on real-world data sets.

FALL 2026 Schedule

Section Instructor Location Schedule Notes
A1 Wood KCB 101 MW 2:30 pm-3:45 pm Students registering for CAS CS542 must register for two sections: a Lec section, and a Lab lection. CAS CS542 will be reserved for CAS/GRS and ENG students until the beginning of the Fall semester. Undergrad prerequisite : CS365 OR MA225 Masters Students: MS/AI core requirement or MSCS. Applications requirement.

FALL 2026 Schedule

Section Instructor Location Schedule Notes
A2 Wood MCS B33 W 4:40 pm-5:30 pm

FALL 2026 Schedule

Section Instructor Location Schedule Notes
A4 Wood CAS 204A R 3:35 pm-4:25 pm

FALL 2026 Schedule

Section Instructor Location Schedule Notes
A5 Wood CAS 214 R 5:00 pm-5:50 pm

SPRG 2027 Schedule

Section Instructor Location Schedule Notes
A1 Considine MW 2:30 pm-3:45 pm AI Core Requirement | CS Application Breadth Requirement, CS Elective

SPRG 2027 Schedule

Section Instructor Location Schedule Notes
B1 Considine F 1:25 pm-2:15 pm

SPRG 2027 Schedule

Section Instructor Location Schedule Notes
B2 Considine F 2:30 pm-3:20 pm

SPRG 2027 Schedule

Section Instructor Location Schedule Notes
B3 Considine F 3:35 pm-4:25 pm

Note that this information may change at any time. Please visit the MyBU Student Portal for the most up-to-date course information.