The following table contains a list of all graduate special topics courses offered by the School of Math within the last 5 years. More information on courses offered in the current/upcoming semester follows below.
Professional Skills for Mathematics is an introduction to technical and communication skills utilized in upper level mathematics courses with additional focus on resume building and professional development.
The course will follow Francis Bonahon's book Low Dimensional Geometry: From Euclidean Surfaces to Hyperbolic Knots. This book was written for undergraduates and brings students up to speed on the many developments in the geometry of 3-manifolds over the last 40 years, beginning with rather elementary constructions. Because the book was written for an undergraduate course, our syllabus will more or less follow the table of contents.
A comprehensive overview of advanced material in analysis. This is a Mother Course with 5 different subtitles; Recommended prerequisites may vary with each offering.
This course is an introduction to theoretical statistics for students with a background in probability. A mathematical formalism for inference on experimental data will be developed.
This course is a mathematical introduction to probability theory, covering random variables, moments, multivariate distributions, law of large numbers, central limit theorem, and large deviations.
MATH 3215, MATH 3235, and MATH 3670 are mutually exclusive; students may not hold credit for more than one of these courses.
Introduction to probability, probability distributions, point estimation, confidence intervals, hypothesis testing, linear regression and analysis of variance.
MATH 3215, MATH 3235, and MATH 3670 are mutually exclusive; students may not hold credit for more than one of these courses.
