We describe a project-based computational physics course developed using a backwards course design approach. From an initial competency-based model of problem solving in computational physics, we interviewed faculty who use these tools in their own research to determine indicators of expert practice. From these, a rubric was formulated that enabled us to design a course intended to allow students to learn these skills. We also report an initial implementation of the course and, by having the interviewees regrade student work, show that students acquired many of the expert practices identified.
References
Committee on Developments in the Science of Learning with additional material from the Committee on Learning Research and Educational Practice and Board on Behavioral, Cognitive, and Sensory Sciences; Division of Behavioral and Social Sciences and Education; and National Research Council, How People Learn: Brain, Mind, Experience, and School: Expanded Edition, National Research Council (National Academies Press, Washington, DC, 2000).