Basic concepts, modeling tools and analysis techniques for the study of biomedical systems, from drug delivery to gene expression to population models.
Prerequisites: BMED 3100 and BMED 2210 and MATH 2552 (or MATH 2403) and CS1371
Credit Hours: 3
Average GPA: 3.05
In this course, you will learn about how to model various kinds of biological based systems. You will learn the math and assumptions behind each of the models (featuring differential equations and linear algebra), how to use PLAS and Matlab to model complicated systems, and what real life situations each method is most useful for. Be familiar with the software. The better you understand the concepts and software, the easier (and more useful) the studio section is. Take the time to review the math concepts that are mentioned in class. Regardless of the section you are in, the class is structured the same, and each professor lecture to the entire class. Similar to BMED 2210 and BMED 3310, there is a PSS type recitation twice a week where you are given a recap of material and expected to complete practice exercises in small groups. Periodically during these recitations, there is a class discussion of each exercise. Many of the problems do not have a single solution, so a class discussion helps to see multiple iterations and fully understand each model and its limitations. There are weekly group homework assignments as well, which you can work on with anyone enrolled in the class. This is a great time to apply the concepts and skills you have learned that week.
THE Tip: Utilize your groups to tackle the homework together in order to fully understand it; don’t do separate problems and combine them at the end.
Recall: Differential equations, linear algebra, BMED 3100, and MATLAB.
Spend your time… working on the problems assigned during recitation and completing homework.
Take Home: Different approaches to model complex systems and computational tools to perform such modeling.