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MTHn - Mathematics Minor

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Program Title

Mathematics

Program Type

Minor

Degree Designation

Minor

Program Description

Minor effective prior to 2011

Revisions Made to Curriculum: Fall 2023

Mathematics lies at the heart of the liberal arts. Based in abstraction and logical reasoning, mathematics is both a body of knowledge and an elegant and useful way of perceiving our world. Through mathematics, we can distill and describe the otherwise hidden patterns and relations among things. Because of this, mathematics finds ubiquitous application, from the natural and social sciences to the humanities and the arts. Precise abstraction and quantification play an increasingly important role in these diverse areas, and the study of mathematics can provide a foundation for any of them.

Requisites

Requirements for the Minor (28 credits)


I. Core (16 credits)

Complete all of the following:

  • course - Calculus and Analytic Geometry I

  • course - Calculus and Analytic Geometry II

  • course - Discrete Mathematics

  • course - Linear Algebra

II. Electives: Three Intermediate and Upper-Level MATH Courses (12 credits)

Complete 12 credits, including 4 upper-level credits. For students also majoring in Physicscoursecoursecourse, and 8 additional intermediate- or upper-level credits may count for both the program and program.

  • course - Introduction to Logic

  • course - Calculus and Analytic Geometry III

  • course - Foundations of Higher Mathematics

  • course - Differential Equations

  • course - Mathematical Physics

  • course - Real Analysis

  • course - Abstract Algebra

  • course - Special Topics in Mathematics

  • course – Stochastic Processes

  • course – Optimization and Machine Learning Mathematics

  • course – Advanced Linear Algebra

  • course – Complex Variables

  • course/course - Symbolic Logic

  • course - Modeling and Simulation

  • course - Applied Regression Analysis

  • course - Statistical Theory

  • course - Bayesian Statistics

  • course - Statistical Machine Learning

  • course - Computational Modeling of Neural Systems

  • Other DATA and STAT classes at the 200-level with advisor approval and the submission of a Ladder petition