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Part 3 · Course

MA391 MATHEMATICAL MODELING

Mathematical Sciences · 5 versions

Offerings are listed from 2027-1 Fall through 2031-1 Fall.

MA391 MATHEMATICAL MODELING

  • 3.0 credit hours
  • (BS=0.0, ET=0.0, MA=3.0)
  • Version 2025-1
  • In effect
Scope
This course is designed to give cadets the opportunity to develop skills in model construction and model analysis while addressing interesting scenarios with practical applications from a wide variety of fields. The course addresses the complex process of translating real-world events into mathematical language, solving the resulting mathematical model (iterating as necessary), and interpreting the results in terms of real-world issues. Topics may include model development from data, optimization, dynamic models, and deterministic and stochastic model development. Interdisciplinary projects based on actual modeling scenarios are used to integrate the various topics into a coherent theme.
Lessons
40 @ 55 min (2.500 Att/wk)
Labs
0 @ 0 min
Special requirements
Several special projects.
Prerequisites
one of
Corequisites
one of
MA391 version 2025-1 offerings
Term Sections Section size Capacity Enrolled Wait list Seats Closed Details
2027-2 Spring 2 18 36 36 0 0 No Hours for 2027-2 Spring
2028-2 Spring 2 18 36 30 0 6 No Hours for 2028-2 Spring
2029-2 Spring 1 18 18 10 0 8 No Hours for 2029-2 Spring
2030-2 Spring 1 18 18 0 0 18 No Hours for 2030-2 Spring

MA391 MATHEMATICAL MODELING

  • 3.0 credit hours
  • (BS=0.0, ET=0.0, MA=3.0)
  • Version 2022-2
  • Archived
Scope
This course is designed to give cadets the opportunity to develop skills in model construction and model analysis while addressing interesting scenarios with practical applications from a wide variety of fields. This course serves as the entry point for both the Mathematical Sciences major and the Operations Research major. The course addresses the complex process of translating real-world events into mathematical language, solving the resulting mathematical model (iterating as necessary), and interpreting the results in terms of real world issues. Topics include model development from data, regression, general curve fitting strategies, and deterministic and stochastic model development. Interdisciplinary projects based on actual modeling scenarios are used to integrate the various topics into a coherent theme.
Lessons
40 @ 55 min (2.500 Att/wk)
Labs
0 @ 0 min
Special requirements
Several special projects.
Prerequisites
one of
Corequisites
one of

MA391 MATHEMATICAL MODELING

  • 3.0 credit hours
  • (BS=0.0, ET=0.0, MA=3.0)
  • Version 2021-2
  • Archived
Scope
This course is designed to give cadets the opportunity to develop skills in model construction and model analysis while addressing interesting scenarios with practical applications from a wide variety of fields. This course serves as the entry point for both the Mathematical Sciences major and the Operations Research major. The course addresses the complex process of translating real-world events into mathematical language, solving the resulting mathematical model (iterating as necessary), and interpreting the results in terms of real world issues. Topics include model development from data, regression, general curve fitting strategies, and deterministic and stochastic model development. Interdisciplinary projects based on actual modeling scenarios are used to integrate the various topics into a coherent theme.
Lessons
40 @ 55 min (2.500 Att/wk)
Labs
0 @ 0 min
Special requirements
Several special projects.
Prerequisites
one of
Corequisites
one of

MA391 MATHEMATICAL MODELING

  • 3.0 credit hours
  • (BS=0.0, ET=3.0, MA=0.0)
  • Version 2003-1
  • Archived
Scope
This course is designed to give cadets the opportunity to develop skills in model construction and model analysis while addressing interesting scenarios with practical applications from a wide variety of fields. This course serves as the entry point for both the Mathematical Sciences major and the Operations Research major. The course addresses the complex process of translating real-world events into mathematical language, solving the resulting mathematical model (iterating as necessary), and interpreting the results in terms of real world issues. Topics include model development from data, regression, general curve fitting strategies, and deterministic and stochastic model development. Interdisciplinary projects based on actual modeling scenarios are used to integrate the various topics into a coherent theme.
Lessons
40 @ 55 min (2.500 Att/wk)
Labs
0 @ 0 min
Special requirements
Several special projects.
Prerequisites
one of
Corequisites
one of

MA391 MATHEMATICAL MODELING

  • 3.0 credit hours
  • (BS=0.0, ET=3.0, MA=0.0)
  • Version 1980-1
  • Archived
Scope
This course is designed to give cadets the opportunity to develop skills in model construction and model analysis while addressing interesting scenarios with practical applications from a wide variety of fields. This course serves as the entry point for both the Mathematical Sciences major and the Operations Research major. The course is divided into several major blocks that progress from translating real-world events into mathematical language to exploring the ethical issues associated with modeling. Topics include graphical models and proportionality, model development from data, regression, polynomial model development, linear and cubic spline interpolation, linear optimization, network algorithms, probability models, Monte Carlo simulation, and ethics. Three major interdisciplinary projects based on actual modeling scenarios are used to integrate the various topics into a coherent theme.
Lessons
40 @ 55 min (2.500 Att/wk)
Labs
0 @ 0 min
Special requirements
Several special projects.
Prerequisites
one of
Corequisites
MA206