OVERVIEW
STRUCTURE AND REQUIREMENTS
OVERVIEW
The Minor in Mathematics provides science and engineering students with a significant mathematical background and a broad perspective on the discipline via a coherent survey of mathematics at the undergraduate level. Students gain a deep understanding of rigorous mathematical thinking, including the ability to produce and judge the validity of mathematical arguments. Some courses focus on problem solving techniques and others have an intensive proof-writing component to help students develop specific technical and critical thinking skills. Students who complete the minor become familiarized with several areas of mathematics such as analysis, linear algebra, probability and statistics, and abstract algebra.
Student Learning Outcomes
Students graduating with the Minor in Mathematics will achieve the following set of knowledge and performance-based skills. They will be able to:
- apply knowledge of mathematics, statistics, and computing.
- implement algorithms and analyze and interpret results.
- understand and construct mathematical and statistical proofs.
- formulate and solve mathematical models of real-world problems.
STRUCTURE AND REQUIREMENTS
Minor Requirements
- The program requires at least 18 credit hours: four (4) core courses plus two (2) elective courses.
- The Minor in Mathematics is NOT open to the students in the Mathematics (AMS) major.
- A minimum grade of “C” must be achieved in each of the courses that count towards the award of the Minor in Mathematics.
- A student may double-count a maximum of two courses to satisfy the requirements of both his/her respective major and the Minor in Mathematics.
CORE REQUIREMENTS
Students are required to take the following four core courses that will count for a total of 12 credits.
All three (3) of the following courses (9 credits):
|
Fundamentals of Mathematical Reasoning
|
|
Mathematical and Statistical Software
|
|
Advanced Linear Algebra with Applications to Data Science
|
One (1) of the following two (2) courses (3 credits):
|
Calculus III
|
|
Engineering Mathematics
|
ELECTIVE REQUIREMENTS
Students are required to take at least two elective courses. One of the electives must be selected from the Electives Group A listed below. The second required elective can be selected from any of the 300- or 400-level courses offered by the Mathematics department.
Electives Group A
|
Mathematical Statistics
|
|
Partial Differential Equations
|
|
Nonparametric Statistics
|
|
Multivariate Statistics
|
|
Numerical Analysis I
|
|
Mathematical Foundations of General Relativity
|
|
Applied Engineering Mathematics
|
|
Complex Functions
|
|
Optimization
|
|
Game Thoery
|
|
Sample Survey Design and Analysis
|
|
Finance in Discrete Time
|
|
Discrete Mathematical Models in Biology
|
|
Continuous Mathematical Models in Biology
|
|
Nonlinear Dynamics
|
Examples of elective choices per subdiscipline
The purpose of the following table is to inform students and their advisors about courses that are usually associated with different mathematical subdisciplines. The aim is to assist and facilitate student’s choice guided by student’s interest in a particular mathematical subdiscipline. The table is provided as an illustration only. Indeed, students are free to make their own choice of elective courses per their preference.
Theoretical Mathematics
|
ܳѲٳپ
|
Applied Statistics
|
Mathematics of Financial Data and Decisions
|
Applied Mathematics (general)
|
Mathematics of Life Sciences
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|