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Organization, Regulations, and Courses 2024-25


MATH 70 Elements of Multivariate Statistics & Statistical Learning

This course focuses on modern methods of statistical analysis including nonlinear models, data mining, and classification. Students gain a theoretical basis for multivariate statistical analysis, optimal statistical hypothesis testing, and point and interval estimation. The course is grounded in applications and students will gain experience in solving problems in data analysis. Students are required to use the statistical package R.

Instructor

Demidenko

Prerequisite

MATH 40

Degree Requirement Attributes

Dist:QDS

The Timetable of Class Meetings contains the most up-to-date information about a course. It includes not only the meeting time and instructor, but also its official distributive and/or world culture designation. This information supersedes any information you may see elsewhere, to include what may appear in this ORC/Catalog or on a department/program website. Note that course attributes may change term to term therefore those in effect are those (only) during the term in which you enroll in the course.

Offered

  • Spring