Mathematics

Announcement - New Machine Learning Course for Spring 2021

The new course, Introduction to Big Data Analysis and Machine Learning with R (MAT 495), will be taught by Professor Stanoyevitch. 

Learn more about MAT 495 here [PDF].

About the Math Department

Mathematics is about number operations and algebra, motion and change (calculus and differential equations), logical analysis, scientific visualization, structure and geometry, the prediction of random events (probability), the extraction of useful information from large sets of data (statistics), and the discovery of the best ways to do things (optimization). It is abstract and theoretical, and intensely down-to-earth and practical, all at the same time.

The mathematics major and minor prepare students for exciting and rewarding work in industry, careers in teaching, and for advanced post-baccalaureate study.

Our calculus, differential equations, analysis, and probability and statistics courses enable science students to analyze data and predict outcomes in static and dynamic situations.

Our foundations, discrete math and algebra courses give students the tools they need for rigorous logical and structural analysis and a deep conceptual understanding of quantitative situations.

Our mathematics education courses prepare students to be outstanding teacher leaders with a deep knowledge of mathematics and the best practices in teaching.

Our general education courses give the general student the mathematical background she or he needs to function in life as an educated and informed citizen in an increasingly quantitative and data-driven world.

The Mathematics Department makes every effort to offer its courses at times that are convenient for students. Courses in the mathematics option of the major are generally offered in the morning. Courses in the mathematics education option of the major and graduate level courses are generally offered at night to accommodate the needs of working students.