Introduction to Linear Algebra

Last Updated: Fri, 01/02/2026
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Course prefix:
MATH
Course number:
1553
Semester:
Spring
Academic year:
2026
Course description:

An introduction to linear alegbra including eigenvalues and eigenvectors, applications to linear systems, least squares. Credit not awarded for both MATH 1553 and MATH 1522, MATH 1502, MATH 1504, MATH 1512, MATH 1554 or MATH 1564.

Academic honesty/integrity statement:

Students are expected to maintain the highest standards of academic integrity. All work submitted must be original and properly cited. Plagiarism, cheating, or any form of academic dishonesty will result in immediate consequences as outlined in the university's academic integrity policy.

Core IMPACTS statement(s) (if applicable):

This is a Core IMPACTS course that is part of the STEM area.

Core IMPACTS refers to the core curriculum, which provides students with essential knowledge in foundational academic areas. This course will help master course content, and support students' broad academic and career goals.

This course should direct students toward a broad Orienting Question:
How do I ask scientific questions or use data, mathematics, or technology to understand the universe?

Completion of this course should enable students to meet the Learning Outcome:
Students will use the scientific method and laboratory procedures or mathematical and computational methods to analyze data, solve problems, and explain natural phenomena.

Course content, activities and exercises in this course should help students develop the following Career-Ready Competencies:
1. Inquiry and Analysis 
2. Problem-Solving
3. Teamwork

Instructor first name:
Keagan
Instructor last name:
Callis
Section:
E
CRN
27137
Department (you may add up to three):
Mathematics

Introduction to Linear Algebra

Last Updated: Fri, 01/02/2026
Upload a PDF
PDF required. Please edit this page and upload a PDF. Please check PDF for accessibility prior to submission.
Course prefix:
MATH
Course number:
1553
Semester:
Spring
Academic year:
2026
Course description:

An introduction to linear alegbra including eigenvalues and eigenvectors, applications to linear systems, least squares. Credit not awarded for both MATH 1553 and MATH 1522, MATH 1502, MATH 1504, MATH 1512, MATH 1554 or MATH 1564.

Academic honesty/integrity statement:

Students are expected to maintain the highest standards of academic integrity. All work submitted must be original and properly cited. Plagiarism, cheating, or any form of academic dishonesty will result in immediate consequences as outlined in the university's academic integrity policy.

Core IMPACTS statement(s) (if applicable):

This is a Core IMPACTS course that is part of the STEM area.

Core IMPACTS refers to the core curriculum, which provides students with essential knowledge in foundational academic areas. This course will help master course content, and support students' broad academic and career goals.

This course should direct students toward a broad Orienting Question:
How do I ask scientific questions or use data, mathematics, or technology to understand the universe?

Completion of this course should enable students to meet the Learning Outcome:
Students will use the scientific method and laboratory procedures or mathematical and computational methods to analyze data, solve problems, and explain natural phenomena.

Course content, activities and exercises in this course should help students develop the following Career-Ready Competencies:
1. Inquiry and Analysis 
2. Problem-Solving
3. Teamwork

Instructor first name:
Christopher
Instructor last name:
Jankowski
Section:
C
CRN
31311
Department (you may add up to three):
Mathematics

Introduction to Linear Algebra

Last Updated: Fri, 01/02/2026
Upload a PDF
PDF required. Please edit this page and upload a PDF. Please check PDF for accessibility prior to submission.
Course prefix:
MATH
Course number:
1553
Semester:
Spring
Academic year:
2026
Course description:

An introduction to linear alegbra including eigenvalues and eigenvectors, applications to linear systems, least squares. Credit not awarded for both MATH 1553 and MATH 1522, MATH 1502, MATH 1504, MATH 1512, MATH 1554 or MATH 1564.

Academic honesty/integrity statement:

Students are expected to maintain the highest standards of academic integrity. All work submitted must be original and properly cited. Plagiarism, cheating, or any form of academic dishonesty will result in immediate consequences as outlined in the university's academic integrity policy.

Core IMPACTS statement(s) (if applicable):

This is a Core IMPACTS course that is part of the STEM area.

Core IMPACTS refers to the core curriculum, which provides students with essential knowledge in foundational academic areas. This course will help master course content, and support students' broad academic and career goals.

This course should direct students toward a broad Orienting Question:
How do I ask scientific questions or use data, mathematics, or technology to understand the universe?

Completion of this course should enable students to meet the Learning Outcome:
Students will use the scientific method and laboratory procedures or mathematical and computational methods to analyze data, solve problems, and explain natural phenomena.

Course content, activities and exercises in this course should help students develop the following Career-Ready Competencies:
1. Inquiry and Analysis 
2. Problem-Solving
3. Teamwork

Instructor first name:
Christopher
Instructor last name:
Jankowski
Section:
A
CRN
27136
Department (you may add up to three):
Mathematics

Finite Mathematics

Last Updated: Fri, 01/02/2026
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PDF required. Please edit this page and upload a PDF. Please check PDF for accessibility prior to submission.
Course prefix:
Math
Course number:
1711
Semester:
Spring
Academic year:
2026
Course description:

Linear equations, matrices, linear programming, sets and counting, probability, and statistics.

Academic honesty/integrity statement:

Students are expected to maintain the highest standards of academic integrity. All work submitted must be original and properly cited. Plagiarism, cheating, or any form of academic dishonesty will result in immediate consequences as outlined in the university's academic integrity policy.

Core IMPACTS statement(s) (if applicable):

This is a Core IMPACTS course that is part of the STEM area.

Core IMPACTS refers to the core curriculum, which provides students with essential knowledge in foundational academic areas. This course will help students master the course content and support students’ broad academic and career goals.

This course should direct students toward a broad Orienting Question:

  • How do I ask scientific questions or use data, mathematics, or technology to understand the universe?

Completion of this course should enable students to meet the following Learning Outcomes:

  • Students will use the scientific method and laboratory procedures or mathematical and computational methods to analyze data, solve problems, and explain natural phenomena.

Course content, activities, and exercises in this course should help students develop the following Career-Ready Competencies: Inquiry and Analysis, Problem-Solving, and Teamwork.

Instructor first name:
Ikenna
Instructor last name:
Nometa
Section:
C, E
CRN
30197
27198
Department (you may add up to three):
Mathematics

Algebraic Structures in Coding Theory

Last Updated: Wed, 12/31/2025
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PDF required. Please edit this page and upload a PDF. Please check PDF for accessibility prior to submission.
Course prefix:
MATH
Course number:
4012
Semester:
Spring
Academic year:
2026
Course description:

Introduction to linear error correcting codes with an emphasis on the algebraic tools required, including matrices vector spaces, groups, polynomial rings, and finite fields.

Academic honesty/integrity statement:

Students are expected to maintain the highest standards of academic integrity. All work submitted must be original and properly cited. Plagiarism, cheating, or any form of academic dishonesty will result in immediate consequences as outlined in the university's academic integrity policy.

Instructor first name:
Hunter
Instructor last name:
Lehmann
Section:
A
CRN
34805
Department (you may add up to three):
Mathematics

Survey of Calculus

Last Updated: Tue, 12/16/2025
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PDF required. Please edit this page and upload a PDF. Please check PDF for accessibility prior to submission.
Course prefix:
MATH
Course number:
1712
Semester:
Spring
Academic year:
2026
Course description:

This course provides an overview of the key concepts needed for an understanding of calculus. Topics covered include: functions, the derivative, applications of the derivative, techniques of differentiation, integration, applications of integration to probability and statistics, and multidimensional calculus.

Academic honesty/integrity statement:

Students are expected to maintain the highest standards of academic integrity. All work submitted must be original and properly cited. Plagiarism, cheating, or any form of academic dishonesty will result in immediate consequences as outlined in the university's academic integrity policy.

Core IMPACTS statement(s) (if applicable):

This is a Core IMPACTS course that is part of the STEM area.
Core IMPACTS refers to the core curriculum, which provides students with essential knowledge in foundational academic areas. This course will help master course content, and support students’ broad academic and career goals.
This course should direct students toward a broad Orienting Question: How do I ask scientific questions or use data, mathematics, or technology to understand the universe?
Completion of this course should enable students to meet the following Learning Outcome: Students will use the scientific method and laboratory procedures or mathematical and computational methods to analyze data, solve problems, and explain natural phenomena.
Course content, activities and exercises in this course should help students develop the following Career-Ready Competencies: Inquiry and Analysis, Problem-Solving, and Teamwork.

Instructor first name:
Amanda
Instructor last name:
Hampton
Section:
E, G
CRN
34828
27200
Department (you may add up to three):
Mathematics

Applied Combinatorics

Last Updated: Mon, 12/15/2025
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PDF required. Please edit this page and upload a PDF. Please check PDF for accessibility prior to submission.
Course prefix:
MATH
Course number:
3012
Semester:
Spring
Academic year:
2026
Course description:

This course covers elementary combinatorial techniques and proof methods used in discrete problem solving.

Academic honesty/integrity statement:

Students are expected to maintain the highest standards of academic integrity. All work submitted must be original and properly cited. Plagiarism, cheating, or any form of academic dishonesty will result in immediate consequences as outlined in the university's academic integrity policy.

Instructor first name:
Kalila
Instructor last name:
Lehmann
Section:
A
CRN
31314
Department (you may add up to three):
Mathematics
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