This course aims to:
Introduce students to the interdisciplinary nature of modern science;
Instill an appreciation of the quantitative skills required for the practice of modern science, regardless of discipline;
Improve students' mathematical and computational skills in the context of scientific problems and issues; and
Involve students in analysis of some “big-picture” issues in science.
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Students will be able to:
Analyze the interdisciplinary nature of modern science, including some of the similarities and differences across a range of discipline areas;
Explain the importance of modeling in science by demonstrating the skills required to produce and analyze such models;
Apply fundamental mathematical techniques that are important to problems across a range of scientific discipline areas;
Explain key introductory concepts in computer science, design and write simple computer programs in the language python, and interprete the output of these programs; and
Communicate responses to quantitative and science-based problems in a correct, logical, and scientifically appropriate style.
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