A laboratory course offering experiments in electricity, magnetism, and light, framed in a small group environment that requires coordination and team work in the development of a well written lab report.

A computational methods course in the theory and techniques of data analysis and error propagation, with emphasis on applications common to the physical sciences: the treatment of statistical errors, the maximum- likelihood method, the chi-square distribution, and curve fitting. Students will learn computer programming, and they will prepare a set of analysis programs for use in subsequent lab courses.

Students may select an approved topic for study under the direction of a faculty member. May be repeated to a maximum of 12 credits.

Students may select an approved topic for study under the direction of a faculty member. May be repeated to a maximum of 12 credits.

Students may select an approved topic for study under the direction of a faculty member. May be repeated to a maximum of 12 credits.

Students may select an approved topic for study under the direction of a faculty member. May be repeated to a maximum of 12 credits.

Students may select an approved topic for study under the direction of a faculty member. May be repeated to a maximum of 12 credits.

Students may select an approved topic for study under the direction of a faculty member. May be repeated to a maximum of 12 credits.

Students may select an approved topic for study under the direction of a faculty member. May be repeated to a maximum of 12 credits.

Students may select an approved topic for study under the direction of a faculty member. May be repeated to a maximum of 12 credits.