I teach both undergraduate and graduate courses (see course guide for details):
PHY 1010/1080: General Physics I. Mechanics, heat, mechanical waves and sound (algebra based).
PHY 1020/1090: General Physics II. Electricity and magnetism, light, relativity, atomic and nuclear physics (algebra based).
PHY 1510/1610: Introductory Physics I. Classical mechanics and thermodynamics (calculus based).
PHY 1520/1620: Introductory Physics II. Electricity and magnetism, light, quantum physics, atomic and nuclear physics (calculus based).
PHY 1580: General Physics Laboratory. Elementary experiments in mechanics, heat, sound, electricity and optics.
PHY 3310: Optics. Geometrical optics, optical instruments, wave theory of reflection, refraction, interference, diffraction and polarization of light.
PHY 3610: Mechanics I. Application of Newton's laws to particles, systems of particles, harmonic oscillators, central forces, accelerated reference frames and rigid bodies.
PHY 3710: Modern Physics. Introduction to relativity, kinetic theory, quantization and atomic physics. Additional topics chosen from physics of molecules, solids, nuclei and elementary particles.
PHY 3810: Electricity and Magnetism. Maxwell’s equations and the experimental laws of electricity and magnetism. Potential theory, boundary conditions on the electromagnetic field vectors, field energy. Dielectrics, conductors and magnetic materials.
PHY 4700: Relativity. Special relativity in mechanics and electromagnetism. Introduction to general relativity and gravitation.
PHY 5350: Modeling Complex Systems. Methods of mathematical physics and nonlinear dynamics will be applied to investigate problems in physical, chemical, and biological systems. Examples of studies will include population dynamics, epidemiology, instabilities and formation of patterns, diffusion phenomena (cell migration), and growth of brain tumors. This is a new course I developed.
PHY 5530: Numerical methods. Introductory course on numerical methods and their application in statistical and biological physics. We will be using Matlab to solve problems; no previous knowledge of Matlab is required.
As a guest lecturer, I participated in an intedisciplinary course on Engineering Biology (EGB 390), and in SMaRT (Research Experience for Undergraduates program). I gave lectures on various topics in medical and biological physics, such as "Modeling Growth of Malignant Brain Tumors" and "Biological Physics: Migration and Clustering of Living Cells".
I served as co-organizer and a lecturer for "Seminars in Sciences and Arts" at the Ann Arbor Russian School. In this innovative, interdisciplinary course, motivated middle and high-school students learn about various branches of knowledge outside of the school curriculum; students acquire experience in independent research and learn to present the results of their work. The course comprises a series of invited lectures on different topics and individual research projects conducted by students. The class culminates with the children's presentations.