Introduction To Quantitative Reasoning and Modeling (MAT2102.01) (maximum enrollment updated as of 5/16/2024)

Kathryn Montovan

This foundational class covers modes of reasoning used in quantitative sciences and mathematics. While learning the art of mathematical modeling, i.e. translating the physical systems/real-life situations into mathematics, we will apply problem solving and practice effective communication of mathematics. This process involves isolating the essential variables and interactions, setting up equations that constitute a model, running the model on a computer (we will use R:, and modifying the hypotheses in response to the model predictions. This process is helpful in many areas of science and social science because it forces you to carefully understand your assumptions, allows you to test and more deeply understand basic conceptual theories, and can help identify targeted experiments to fill gaps in the current understanding of the system.

This course is not a repetition of high school mathematics; rather, it places high school mathematics in a larger context, and concentrates on the applications of mathematical thinking to the sciences. You do not need to know about logarithms or trig functions to take the course – we will develop these from the beginning – but you should be comfortable with topics like elementary algebra and drawing simple graphs.

Learning Outcomes:
In this course, you will:
• Tackle unfamiliar problems individually and collaboratively with classmates
• Explore and communicate mathematics orally and in writing
• Develop mathematical models to represent real world systems
• Create your own R programs to simulate your model results
• Develop a question, research the system, create a mathematical model, and communicate your results.

Delivery Method: Fully in-person
Course Level: 2000-level
Credits: 4
M/Th 1:40PM - 3:30PM (Full-term)
Maximum Enrollment: 16
Course Frequency: Once a year

Categories: 2000 , All courses , Four Credit , Fully In-Person , Mathematics , Updates