MATCS-BS - Mathematical and Computational Science (BS)
Download as PDF
Program Learning Outcomes
Students in the Mathematical & Computational Science program are expected to achieve the following learning outcomes. These learning outcomes are used both in evaluating students and the undergraduate program. By the time they graduate, majors are expected to:
Frame questions of interest from a variety of disciplines in quantitative terms, and to identify what data types might be useful in addressing them.
Select and use appropriate modeling, inferential, and computational approaches for solving the problem at hand. Specifically, they will be able to:
(2a.) Justify their approach on the basis of mathematical and statistical reasoning.
(2b.) Implement the chosen strategy with computationally efficient algorithms and following modern software engineering principles.
(2c.) Test it empirically.
(2d.) Assess its limits.
Convey quantitative analysis and technical results to a wide audience, effectively communicating the uncertainty associated with their conclusions, and taking care to assure the reproducibility of results.
Contribute creatively to the theoretical and/or applied frontiers of at least one of the following disciplines: statistical analysis, optimization, computation, and mathematical modeling.