MATH 3610

MATH 3610

Course information provided by the 2026-2027 Catalog.

Introduction to the theory and practice of mathematical modeling. We compare and contrast different types of mathematical models (discrete vs. continuous, deterministic vs. stochastic), focusing on advantages, disadvantages, and limits of applicability for each approach. Case-study format covers a variety of application areas including economics, physics, sociology, traffic engineering, urban planning, robotics, and resource management. Students learn how to implement mathematical models on the computer and how to interpret/describe the results of their computational experiments.


Prerequisites MATH 1110-MATH 1120 or equivalent.

Distribution Requirements (SMR-AS)

Exploratory Studies (CU-CEL)

Last 4 Terms Offered 2024FA, 2023FA, 2022FA, 2021FA

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one project.

  • 4 Credits Stdnt Opt

  • 14334 MATH 3610   LEC 001

    • TR
    • Vladimirsky, A

  • Instruction Mode: In Person

  • 14335 MATH 3610   PRJ 601

    • Vladimirsky, A

  • Instruction Mode: In Person