The course will develop skills in mathematical modeling through practical experience. Students will work in groups on specific projects involving real-life problems that are accessible to their existing mathematical backgrounds. In addition to the development of mathematical models, effective oral and written presentation of the results will be emphasized. The course typically involves two different threads that students may choose from.
1 course with a minimum grade of C- from (MATH240, MATH461, MATH341); and 1 course with a minimum grade of C- from (MATH241, MATH340); and 1 course with a minimum grade of C- from (MATH246, MATH341); and minimum grade of C- in STAT400. And 1 course with a minimum grade of C- from (CMSC106, CMSC131)
Level of Rigor
Lecture slides by Balan
Data Science (graph analysis), Economics (financial math), Epidemiology (disease spreading)
If you like this course, you might also consider the following courses
STAT 426, MATH 464, MATH 416, MATH 424
Students interested in grad school in STAT and Applied Mathematics should consider this course
Duplicate credit with AMSC420
The main objective of this course is to learn from experience the various aspects of the modeling process, including:
Formulating and refining a mathematical model
Mathematical and computational analysis of the model
Oral and written communication of the results
Mathematical techniques discussed will be motivated by problems from areas such as physics, biology, economics, data science, etc.