Course Description
Provides preparation for graduate study in statistics by surveying topics in linear algebra and other areas chosen to strengthen students' analytical and mathematical skills.
Additional Requirements for Graduate Students:
Additional and/or alternative problems of a more challenging nature will be required for graduate students on homework and exams.
Athena Title
Tools for Statistical Theory
Undergraduate Prerequisite
[(MATH 2260 or MATH 2260E or MATH 2260H or MATH 2410 or MATH 2410H or MATH 3200 or MATH 3200W) and STAT 4230/6230 and STAT 4510/6510 and (MATH 3000 or MATH 3300 or MATH 3300E)] or permission of department
Graduate Prerequisite
Permission of department
Semester Course Offered
Offered fall
Grading System
A - F (Traditional)
Course Objectives
The course is meant to provide the mathematical foundations for graduate study in statistics with an emphasis on linear algebra. Students will review linear algebra, gain proficiency with matrix and vector operations, and understand the basic theory of vector spaces. Additional topics will be covered at the discretion of the instructor.
Topical Outline
Vectors, matrices, vector spaces and other topics in linear algebra necessary for a theoretical understanding of linear models and other statistical methods. At the discretion of the instructor topics in advance calculus, real analysis, elementary probability theory, and other areas of mathematics applicable to statistics may be covered.
Syllabus