The biophysics major integrates the physical principles that are part of the core material found in a traditional physics major with areas of interest in the life sciences. Offering many possible avenues via molecular/cellular, biomechanical,
organismal and/or physiological sequences, the major is appropriate for students interested in attending graduate school in physics or biophysics and provides a solid background for students planning a career in the health fields.
Learning Outcomes of the Program In Biophysics
Students who have completed a major in Biophysics, when confronted with a natural phenomenon, should be able to examine, model and analyze the system and effectively communicate the findings.
Specifically, students should be able to:
- • Develop a conceptual framework for understanding the system by identifying the key physical principles, relationships, and constraints underlying the system.
- • If required, develop a physical experiment to analyze the system within the framework. This includes:
- • designing the experiment;
- • making basic order-of-magnitude estimates;
- • working with standard data-measuring devices such as oscilloscopes, digital multi-meters, signal generators, etc.;
- • identifying and appropriately addressing the sources of systematic error and statistical error in their experiment.
- • Translate that conceptual framework into an appropriate mathematical format/ model.
- a. If the mathematical model/equations are analytically tractable, carry out the analysis of the problem to completion (by demonstrating knowledge of and proficiency with the standard mathematical tools of physics and engineering).
- b. If the model/equations are not tractable, develop a computer code and/ or use software/programming languages (e.g., MATLAB, Maple, Python) to Science 265 numerically simulate the model system.
- • Use with proficiency standard methods of data analysis (e.g., graphing, curvefitting, statistical analysis, Fourier analysis, etc.).
- • Intelligently analyze, interpret, and assess the reasonableness of the answers obtained and/or the model's predictions.
- • Effectively communicate their findings (either verbally and/or via written expression) to diverse audiences.