Skip to content
Independent research conducted under the guidance of a faculty member.
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.
Special topics course on Random Discrete Structures, offered in Fall 2017 by Lutz Warnke.
Special topics course on The Academic and Industry Job Search offered in Fall 2017 by Morag Burke.
Special topics course on Introduction to Heegaard Floer homology offered in Fall 2017 by Jennifer Hom.
Pass/Fail basis. This course is intended to teach general mathematical problem solving skills, and to prepare students to take the Putnam Examination.
This course provides students with a broad exposure to areas of mathematics research through weekly speakers.
Introduction to probability, probability distributions, point estimation, confidence intervals, hypothesis testing, linear regression and analysis of variance.
This course will cover important topics in linear algebra not usually discussed in a first-semester course, featuring a mixture of theory and applications.
Mathematical logic and proof, mathematical induction, counting methods, recurrence relations, algorithms and complexity, graph theory and graph algorithms.