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MATH 447: Multivariate Statistics

Mathematics · 4 credits

Basics of statistical learning, cross-validation, penalized least squares, principal component analysis, classification algorithms, decision trees, and clustering algorithms. Extensive use of a computer statistical package.

Offered in 7 of the 26 listed terms (Spring 2021 to Spring 2027).

Prerequisites

MATH 204 and (MATH 342 or ECON 475)

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 (0)

No course lists it as a prerequisite.

Syllabi and course websites

None listed yet.

Instructors

InstructorSectionsTerms
Noguchi, Kimihiro7Spring 2021 to Spring 2027

Every offering in the listed terms (7 sections)

TermSecCRNTypeMeetsInstructorEnrolledDelivery
Spring 2027021586LectureMTRF 10:00am-10:50am · HH 233Noguchi, Kimihiro0/35Face to Face Instruction
Spring 2026021771LectureMTRF 10:00am-10:50am · HH 233Noguchi, Kimihiro27/20Face to Face Instruction
Spring 2025021965LectureMTRF 1:00pm-1:50pm · HH 233Noguchi, Kimihiro18/35Face to Face Instruction
Spring 2024022379LectureMTRF 3:00pm-3:50pm · HH 233Noguchi, Kimihiro27/35Face to Face Instruction
Spring 2023022671LectureMTRF 11:00am-11:50am · HH 233Noguchi, Kimihiro16/35Face to Face Instruction
Spring 2022023104LectureTBA · ONLINE ASNCNoguchi, Kimihiro14/35Distance Instr-OnLine
Spring 2021023680LectureTBA · REMOTE ASNCNoguchi, Kimihiro22/35Face to Face Instruction