Jun 11-Jul 27, 2018
Credit: 3 graduate
Instructor(s): Jennifer Luebeck and Mary Alice Carlson

Course Description

Please register for CRN 11571.

In this course we will:
  • Closely examine “What is mathematical modeling?”
  • Explore the “best practices” of math, science, and engineering. Each of these disciplines has published a list of practices to be emphasized, and each includes “modeling” as a key practice. This will lead us into discussions on all the practices in science, engineering and math and how they overlap.
  • Discuss what what it really means to be “doing” STEM instruction. Do all the elements have to be present? Is an engineering problem always a math problem? Could a biology experiment be considered “STEM”?
  • Examine how the process of modeling is similar and different in each STEM area.
  • Solve problems that represent modeling in each STEM area.
  • Critique lessons and tasks regarding how well they represent (mathematical) modeling.
  • Design activities and/or lessons that incorporate authentic (mathematical) modeling.

Meeting Place and Times

This course is taught online. Course participants login and participate at a time of day that is convenient for them. It is recommended that participants login at least 4 to 6 times per week and plan on spending as much as 20 hours per week for 7 weeks to successfully complete this 3 credit graduate course. It is imperative that teachers are available to participate fully in the course for the full 7 weeks. This time estimate includes both the time teachers spend on-line connected to Desire2Learn participating in group discussions and other course activities and the time spent off-line working on assignments, projects, and lab activities.


Jennifer Luebeck, EdD..

Mary Alice Carlson, PhD..


Graduate standing; mathematics educators and educators in other STEM fields

Target Audience

High school (or two-year college) teachers of secondary mathematics, science, and related STEM fields. The target audience consists of teachers in the MSMME, NTEN, and MSSE programs.

Time Commitment:

15-20 hours per week. If you are unfamiliar with this field of study and/or method of delivery, you may require more time.

Tuition and Fees

If you are accepted into a qualified online program, see the appropriate MSU Online Only Tuition and Fee table below:

If you are also taking a face-to-face course, please refer to the MSU Fee Schedules.

Required Books/Materials

  • No textbook required. Materials will be provided online.

Computer Requirements:

  • Internet access
  • A device and browser that pass the system check for Brightspace LE, MSU's learning management system.

This course uses a learning management system. You will learn more closer to the course start date.

For More Information

About course content, contact Jennifer Luebeck at
For information about registration, contact Kelly Boyce at

How to Register

You must be accepted as a student to Montana State University to take this course.

Learn how to apply.

After your application has been accepted, you will register via MSU's online registration system, MyInfo.

Registration requires a PIN number. Learn how to find your PIN.

Once you have your PIN, learn how to register through MyInfo.