First half of the experimental course for sophomore majors. Experiments on a range of topics in thermodynamics, simple harmonic motion, and waves. Corequisite: PHYSICS 287.

First half of the experimental course for sophomore majors. Experiments on a range of topics in thermodynamics, simple harmonic motion, and waves. Corequisite: PHYSICS 287.

Modern and classic experiments performed with up-to-date techniques. Course complements 400-level physics courses, and satisfies the Integrative Experience requirement for BA-Physics and BS-Physics majors

This is a stand-alone independent study designed by the student and faculty sponsor that involves frequent interaction between instructor and student. Qualitative and quantitative enrichment must be evident on the proposed contract before consent is given to undertake the study.

This is a stand-alone independent study designed by the student and faculty sponsor that involves frequent interaction between instructor and student. Qualitative and quantitative enrichment must be evident on the proposed contract before consent is given to undertake the study.

This is a stand-alone independent study designed by the student and faculty sponsor that involves frequent interaction between instructor and student. Qualitative and quantitative enrichment must be evident on the proposed contract before consent is given to undertake the study.

This is a stand-alone independent study designed by the student and faculty sponsor that involves frequent interaction between instructor and student. Qualitative and quantitative enrichment must be evident on the proposed contract before consent is given to undertake the study.

Kinematics, vectors and scalars, Newton's laws of motion, work and energy, impulse and momentum. Conservation laws. Collisions, oscillations, rotational dynamics, waves and sound, fluids, with Lab. Use of calculus in physics; problem-solving methods. Co-requisite: MATH 131. (GenEd. PS)

Computational physics in a computer laboratory setting. Numerical techniques and simulations of a variety of physical systems taught concurrently with programming skills using languages such as Python or Matlab. No prior programming experience required.

Computational physics in a computer laboratory setting. Numerical techniques and simulations of a variety of physical systems taught concurrently with programming skills using languages such as Python or Matlab. No prior programming experience required.