College in the Schools (CIS) Algebra through Modeling

Students are introduced to the art of mathematical prediction through algebraic modeling and elementary probability theory. The course covers techniques of representing the behavior of real-world data with algebraic equations, including linear, polynomial, exponential and logarithmic functions. Students also learn basic probability theory including counting methods and conditional probability. The course emphasizes the use of traditional algebraic methods and technologies such as graphing calculators and Excel spreadsheets to find equations that accurately represent the behavior of real-world data. There are several modeling assignments throughout the semester in which students develop mathematical strategies for solving realistic problems. This course is appropriate for students who are committed to pursuing college majors or careers in math or science, but are unsure of their math, writing or science skills. It is also appropriate for students who are certain that they do not want to pursue college majors or careers in math or science.
*Possible University of Minnesota credit is available.