Why choose the MSSG Intensive Short-Courses?
J - TERM
Classical Mechanics: Dynamics and Computation
Course Description: In this course, we will study the fundamentals of the Lagrangian and Hamiltonian formulations of classical mechanics, including variational principles, conserved quantities and symmetry, motion of rigid bodies, canonical transformations, and Liouville's theorem. We will also give an introduction to several more modern topics in nonlinear dynamics, such as KAM theory and chaotic motion. Computer simulations will be used extensively throughout the course in order to foster clarity and encourage exploration.
Discrete Probability & Simulation:
Course Description: This course introduces the student, through a probabilistic lens, to the basic subjects of discrete mathematics, which form the foundation of computer and information science. The student will learn a variety of discrete models and topics with a view towards rigorous machine learning and data science applications, as well as deeper theoretical investigations. Python and/or R will be used for practical implementation of all numerical and graphical procedures, including simulations.
HOW TO APPLY:
- Interested students can apply on our website through the online form.
- Applicants must provide a current transcript and contact information for two professors who can act as references.
- We recommend that interested candidates share information about the program with their study abroad or off-campus study office as well as with their financial aid office to secure support for approving study and accessing financial support.
- Consider applying for the Gilman Scholarship here.