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