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DATA 471: Machine Learning

Data Science · 4 credits · Computer Science

Key machine learning theory, algorithms and experimentation techniques. Generalization, bias and variance. Classification, regression, and clustering. Linear models and nonlinear models, including neural networks. Ethical issues in machine learning.

Offered in 7 of the 26 listed terms (Winter 2024 to Spring 2027).

Prerequisites

CSCI 305 and MATH 204 and MATH 341

Prerequisite tree

Each course's own prerequisites, down to the first courses in the chain.

From Banner's catalog for Spring 2027. Banner lists only the requisites it enforces, so check the catalog entry too.

Required by (7)

CSCI 404, CSCI 471, CSCI 476, CSCI 481, CSCI 497H, CSCI 571, CSCI 573

What it leads to

Courses that list it as a prerequisite, then the courses that list those, 2 levels deep.

Syllabi and course websites

None listed yet.

Instructors

InstructorSectionsTerms
Hutchinson, Brian4Winter 2024 to Fall 2025
Lohrmann, Clare2Fall 2026 to Winter 2027
Harris, Kameron1Spring 2027
Sizemore, Logan1Spring 2025

Every offering in the listed terms (8 sections)

TermSecCRNTypeMeetsInstructorEnrolledDelivery
Spring 2027023281LectureTR 2:00pm-3:40pm · CF 120Harris, Kameron0/22Face to Face Instruction
Winter 2027013423LectureMTWF 10:00am-10:50am · CF 225Lohrmann, Clare0/25Face to Face Instruction
Fall 2026042418LectureMTWF 12:00pm-12:50pm · AW 405Lohrmann, Clare33/35Face to Face Instruction
Fall 2025042749LectureMTWF 10:00am-10:50am · CF 125Hutchinson, Brian33/35Face to Face Instruction
Spring 2025023115LectureMTWF 2:00pm-2:50pm · ES 080Sizemore, Logan32/35Face to Face Instruction
Fall 2024043613LectureMTWF 12:00pm-12:50pm · CF 314Hutchinson, Brian21/25Face to Face Instruction
Winter 2024013946LectureMTWF 11:00am-11:50am · CF 316Hutchinson, Brian22/28Face to Face Instruction
Winter 2024013949LectureMTWF 12:00pm-12:50pm · CF 316Hutchinson, Brian23/23Face to Face Instruction