BIOL 532 - Biological Data Analysis II-Multivariate Analysis

Institution:
California State University-San Marcos
Subject:
Description:
From molecular biology to ecosystem studies, technology is facilitating collection of large, multivariate biological data sets. Multivariate analyses seek to simplify, summarize, and test hypotheses about these complex data sets. Addresses major issues in multivariate analysis, and will introduce students to common analysis types and visualization approaches. Subjects covered will include: principal components analysis, discriminant analysis, canonical correlation, and redundancy analysis. Additional subjects will be selected by students based on their needs and interests. May not be taken for credit by students who have received credit for BIOL 596H. Enrollment Requirement: BIOL 215 and BIOL 215L or Graduate standing.
Credits:
3.00
Credit Hours:
Prerequisites:
Corequisites:
Exclusions:
Level:
Instructional Type:
Lecture
Notes:
Additional Information:
Historical Version(s):
Institution Website:
Phone Number:
(760) 750-4000
Regional Accreditation:
Western Association of Schools and Colleges
Calendar System:
Semester

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