A model Scientific Computing course for freshman students at liberal arts Colleges

Abstract

This paper describes a course called, "Introduction to Scientific Computing" that has been developed for freshman students at Wagner college, a private national liberal arts institution. The course trains students in computational thinking and involves hands-on learning of typical work-flows in scientific data analysis and data visualization. Students develop proficiency in the symbolic computing platform, Wolfram Mathematica R , to apply functional programming to develop data analysis and problem solving skills. The course presents computational thinking examples in the framework of various scientific disciplines. This exposure helps students to understand the advantages of technical computing and its direct relevance to their educational goals. The students are also trained to perform molecular visualization using open source software packages, such as Avogadro and Visual Molecular Dynamics, to understand secondary and tertiary protein structures, construct molecular animations, and to analyze computer simulation data. These experiences stimulate students to apply these skills across multiple courses and their research endeavors. Student self-assessment data suggests that the course satisfies a unique niche in undergraduate education. We have provided a sample syllabus, homework assignments, and examples of student work to aid in the design and implementation of similar courses at other institutions.