Development of Computational Labs for Engineering Probability, Random Process, and Statistics
Mia Markey, Assistant Professor, Biomedical Engineering and Kathy Schmidt,Director, Faculty Innovation Center - May 3, 2005
OVERVIEW: BME 335 Engineering Probability, Random Processes, and Statistics is a core undergraduate course. The challenges facing instructors of this course include large classes, a wide range of student preparation/abilities, low intrinsic student motivation since this a required course, and common student anxieties regarding math intensive courses. The course has been taught with lectures and students are able to solve “paper and pencil” problems in small groups. Due to insufficient time and logistical dilemmas, however, it is difficult, if not next to impossible, to tackle more “real world” problems during class time. The integration of computational lab sessions, held in addition to class lectures, in which smaller groups of students solve more in-depth problems has been added to enhance student understanding and interest. Come join us as we take a closer look at the issues and challenges we faced in integrating computational (MATLAB) labs into BME 335.
If you plan on attending please contact Terri Lavorgna or call the Academic Affairs Office at 471-7995 at least one day before the seminar.