The aim of this course is to provide support to senior graduate students and postdocs throughout their job search process. Students may be targeting jobs in academia, in industry, or both. In this course, students will learn about the basic skills of the job search and the resources that they should leverage throughout their job search. By the end of the course, students will create the documents needed for job applications and will practice interview skills.

This course is run as a seminar course, with some class meetings and some individual meetings. This course is tailored to the needs of the individual students who register for the course.

Communication support for School of Math international graduate students, post-docs, and new faculty who are non-native speakers of American English and who will be teaching undergraduate students. The primary topics of this course are: correct language usage & cross-cultural aspects of teaching undergraduates. 

Independent research conducted under the guidance of a faculty member.

Independent research conducted under the guidance of a faculty member.

Point set topology, topological spaces and metric spaces, continuity and compactness, homotopy, and covering spaces.

This course is a problem-oriented introduction to the basic concepts of probability and statistics, providing a foundation for applications and further study.

Elementary combinatorial techniques used in discrete problem solving: counting methods, solving linear recurrences, graph and network models, related algorithms, and combinatorial designs.

Elementary combinatorial techniques used in discrete problem solving: counting methods, solving linear recurrences, graph and network models, related algorithms, and combinatorial designs.