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Fall 2017

Archived:

## Undergraduate Research

Independent research conducted under the guidance of a faculty member.

## Probability Theory

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.

## Random Discrete Structures

Special topics course on Random Discrete Structures, offered in Fall 2017 by Lutz Warnke.

## The Academic and Industry Job Search

Special topics course on The Academic and Industry Job Search offered in Fall 2017 by Morag Burke.

## Introduction to Heegaard Floer homology

Special topics course on Introduction to Heegaard Floer homology offered in Fall 2017 by Jennifer Hom.

## Mathematical Problem Solving

Pass/Fail basis. This course is intended to teach general mathematical problem solving skills, and to prepare students to take the Putnam Examination.

## Undergraduate Seminar

Pass/fail basis.

This course provides students with a broad exposure to areas of mathematics research through weekly speakers.

## Probability and Statistics with Applications

Introduction to probability, probability distributions, point estimation, confidence intervals, hypothesis testing, linear regression and analysis of variance.

## A Second Course on Linear Algebra

This course will cover important topics in linear algebra not usually discussed in a first-semester course, featuring a mixture of theory and applications.

## Introduction to Discrete Mathematics

Mathematical logic and proof, mathematical induction, counting methods, recurrence relations, algorithms and complexity, graph theory and graph algorithms.