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Industrial Mathematics


Course Description

Students apply mathematical problem solving to complete a project for an industry partner. Students collaborate with other students, apply creative thinking in their work, and communicate their results to the class and to the industry partner.

Additional Requirements for Graduate Students:
Graduate students will complete additional training in a computer language or languages appropriate to data science.


Athena Title

Industrial Mathematics


Undergraduate Prerequisite

(MATH 3200 or MATH 3200W) and permission of department


Graduate Prerequisite

Permission of department


Grading System

S/U (Satisfactory/Unsatisfactory)


Student Learning Outcomes

  • Students will be able to apply mathematical thinking to solve a real-world problem from an industry partner.
  • Students will be able to develop communication skills by working with the industry partner throughout the semester.
  • Students will be able to adapt the problem-solving approach based on industry partner feedback.
  • Students will be able to prepare a technical report to share findings with the industry partner.
  • Students will be able to develop coding skills in a language appropriate to data science.

Topical Outline

  • Fundamentals in coding
  • Background research on the industry setting and problem
  • Data exploration using partner data
  • Analysis of partner data via coding
  • Check-in presentations with industry partner
  • Additional background research and/or analysis to clarify the problem solution
  • Prepare technical report

Syllabus