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Nonlinear Dynamics

Introduction to the study of temporal patterns in nonequilibrium systems. Theoretical, computational, and experimental insights used to explain phase space, bifurcations, stability theory, universality, attractors, fractals, chaos, and time-series analysis. Each student carries out an individual research project on a topic in nonlinear dynamics and gives a formal presentation of the results. Prerequisites: Computer Science 101, MATH 216, and PHYSICS 161L, 162L, or equivalent. One course.

Thesis Independent Study

Original research conducted under the supervision of a faculty member leading to a substantial written report that follows standard guidelines for the presentation of physics research. The report must be revised at least once in response to feedback from the instructor. Typically taken following PHYSICS 493 or summer research experience with the instructor. Consent of instructor and DUS required. One course.