For an in-depth look at some of our upper division and graduate level courses offered in previous semesters, see the links below.

Spring 2025 

APM 575 or MAE 505 Perturbation Methods in Applied Mathematics (Steven Baer)

APM 598 Introduction to Deep Neural Networks (Sebastien Motsch)

Concepts and methods of statistics; display and summary of data, interval estimation, hypothesis testing, correlation, regression. Applications to biological sciences.

Enroll requirements: Prerequisites: MAT 117 or 142 with C or better or completed the ALEKS Math Placement Test with a score of 50% or higher

ASU Catalog - STP 231

Practice Exams:

Test 1

Basic concepts and methods of statistics, including descriptive statistics, significance tests, estimation, sampling, and correlation. Not open to majors in mathematics or the physical sciences.

Enroll requirements: Pre-requisites: MAT 117 or MAT 142 or other course meeting General Studies MA requirement with C or better or completed the ALEKS Math Placement Test with a score of 50% or higher

ASU Catalog - STP 226

Introduces differential equations, theoretical and practical solution techniques. Applications. Problem solving using MATLAB.

Enrollment requirements: Prerequisite(s): MAT 266 or MAT 271 with a C or better; Credit is allowed for only MAT 274 or 275

ASU Course Catalog - MAT 275

Vector-valued functions of several variables, multiple integration, and introduction to vector analysis.

Enroll requirements: Prerequisite(s): MAT 266 or MAT 271 with C or better; Credit is allowed for only MAT 267 or MAT 272

ASU Catalog - MAT 272

Example Syllabus (this may not be the syllabus used by your instructor, but gives students an idea of the course content and expectations).