Minor in Mathematics
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.
Degree 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):
One (1) of the following two (2) courses (3 credits):
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
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.
Additional information
- The Minor in Mathematics will be overseen by the Associate Chair for Undergraduate Studies in the Department of Mathematics. One of the mathematics faculty will be assigned as an advisor to students pursuing the Minor in Mathematics.
- The Minor in Mathematics will be assessed three (3) years after its inception. The assessment will involve:
- number of students in the program
- completion rate of those who enter the program
- questionnaire filled out by students who completed the program
- questionnaire filled out by a portion of students who are still in the pipeline.
Matrix with the contributions of each course to the Program Learning Outcomes of the Minor in Mathematics
| CODE |
TITLE |
CR. |
A |
B |
C |
D |
| CORE REQUIREMENTS |
| MATH 101 |
Fundamentals of Mathematical Reasoning |
3 |
H |
--- |
H |
--- |
| MATH 214 |
Mathematical and Statistical Software |
3 |
H |
H |
--- |
--- |
| MATH 231 |
Calculus III |
3 |
M |
--- |
L |
--- |
| MATH 232 |
Engineering Mathematics |
3 |
M |
--- |
L |
--- |
| MATH 315 |
Advanced Linear Algebra |
3 |
L |
L |
M |
--- |
| ELECTIVE REQUIREMENTS (GROUP A) |
| MATH 245 |
Mathematical Statistics |
3 |
H |
M |
L |
M |
| MATH 317 |
Nonparametric Statistics |
3 |
H |
H |
H |
M |
| MATH 318 |
Multivariate Statistics |
3 |
H |
H |
--- |
M |
| MATH 319 |
Numerical Analysis I |
3 |
H |
M |
M |
L |
| MATH 320 |
Mathematical Foundations of General Relativity |
3 |
H |
M |
L |
M |
| MATH 333 |
Applied Engineering Mathematics |
3 |
H |
L |
--- |
H |
| MATH 352 |
Complex Functions |
3 |
H |
--- |
H |
M |
| MATH 412 |
Optimization |
3 |
H |
M |
H |
M |
| MATH 413 |
Game Theory |
3 |
M |
M |
M |
H |
| MATH 416 |
Sample Survey Design and Analysis |
3 |
M |
H |
--- |
M |
| MATH 426 |
Finance in Discrete Time |
4 |
H |
L |
M |
M |
| MATH 432 |
Mathematical Models in Biology |
3 |
H |
H |
--- |
H |