Math +

 

Director of Undergraduate Program


Kristopher Lee

Academic Advisor


Dawn Walker Chalmers

Finding Your Academic Advisor

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Bachelor of Science in Liberal Arts and Sciences,

Mathematics + Application Area Option in the Mathematics Major


For Students Graduating Under the 2017-18 Catalog



This option is designed for students who want to major in mathematics with a clear specialization in some area of application. Certain courses in the area of application are counted towards the mathematics major. This also facilitates double majors or major/minor combinations.

The mathematics + application option is not recommended for students who plan to continue with graduate school in mathematics. It can be very appropriate for students who plan to pursue a graduate degree in the application area.

In consultation with a mathematics faculty advisor, the student prepares a program of study tailor-made to his/her future plans or career needs. A number of programs have already been designed and approved (see below). Deviations from the approved programs may be proposed, and must be approved by the Mathematics Undergraduate Committee.




Approved Programs of Study

Math Plus programs of study have been approved in the following areas:




General Outline for Math + Application Area

Mathematics Core Courses (8 courses)

Mathematics and Application Electives (8 courses)

Appropriate upper level courses in mathematics and the application area, including MATH 301 or 414 – Abstract Algebra I or Analysis I, and including at least three courses from MATH and at least three courses from the application area. For the application areas with programs already approved, the courses are listed below.

Advanced Communication Proficiency Requirement

ENGL 302, ENGL 303, ENGL 305, ENGL 314, or MATH 491 (Undergraduate Thesis, with departmental approval). A grade of C- or better is required.

Mathematics Grade Requirements

  • At least 2.0 GPA in the ISU MATH courses applied to the major
  • At least 8 credits of MATH courses taken at ISU at level 300+ with grade of C or better.


Further College and University Requirements

LAS students, see College of Liberal Arts and Sciences. Students earning degrees from other colleges with second majors in mathematics will meet the requirements of their own colleges.




Mathematics + Actuarial Science

Study of mathematics provides the strongest foundation for a student who wishes to enter and continue to progress in an actuarial career. A student should take one or two exams administered by the actuarial societies before graduation, and expect to continue specialized training after being hired. See http://www.beanactuary.org/ for extensive discussion of career opportunities and expectations. Note that, of the introductory statistics courses, STAT 201 provides the best preparation for more advanced statistics courses.

Mathematics and Application Electives (8 courses)

  • MATH/STAT 341, 342
    – Introduction to Theory of Probability and Statistics I, II
  • MATH 414 – Analysis I
  • Five of the following six courses
    • MATH 240X – Mathematics of Investment and Credit
    • MATH 373 – Introduction to Scientific Computation
    • MATH 415 – Analysis II
    • FIN 301 – Principles of Finance
    • STAT 301 – Intermediate Statistical Concepts and Methods
    • STAT 451 – Applied Time Series

Other Requirements

See General Outline for Mathematics + Application Area.

Other Recommended Courses




Mathematics + Aerospace Engineering

Mathematics and Application Electives (8 courses)

  • MATH 414 – Analysis I
  • Two of the followiing courses:
    • MATH 373 – Intro to Scientific Computation
    • MATH 385 – Intro to Partial Differential Equations
    • MATH 407 – Applied Linear Algebra
    • MATH 415 – Analysis II
    • MATH 481 – Numerical Methods for Differential Equations

  • AER E 310 – Aerodynamics I: Incompressible Flow
  • AER E 311 – Aerodynamics II: Compressible Flow
  • AER E 331 – Flight Control Systems I
  • AER E 344 – Aerodynamics and Propulsion Laboratory
  • AER E 355 – Aircraft Flight Dynamics and Control

Other Requirements

See General Outline for Mathematics + Application Area.

Notes

For engineering majors, a second major must include 15 credit hours not used for the major in engineering.




Mathematics + Chemical Engineering

Mathematics and Application Electives (8 courses)


  • MATH 301 or 414 – Abstract Algebra I or Analysis I
  • Two of the following courses:

    • MATH 302 – Abstract Algebra II
    • MATH 373 – Intro to Scientific Computation
    • MATH 407 – Applied Linear Algebra
    • MATH 385 – Intro to Partial Differential Equations
    • MATH 481 – Numerical Methods for Differential Equations

  • Five of the following courses:

Other Requirements

See General Outline for Mathematics + Application Area.

Notes

For engineering majors, a second major must include 15 credit hours not used for the major in engineering.




Mathematics + Chemistry

Mathematics and Application Electives (8 courses)


  • MATH 301 or 414 – Abstract Algebra I or Analysis I
  • Three of the following courses:
    • MATH 302 – Abstract Algebra II
    • MATH 304 – Combinatorics
    • MATH 314 – Graph Theory
    • MATH/STAT 341 – Intro to Theory of Probability and Statistics I
    • MATH 365 – Complex Variables with Applications
    • MATH 385 – Intro to Partial Differential Equations
    • MATH 415 – Analysis II

  • Four of the following courses. The two courses marked with a * are especially recommended:

    • CHEM 301 – Inorganic Chemistry
    • CHEM 324 – *Intro to Quantum Mechanics
    • CHEM 325 – *Chemical Thermodynamics
    • CHEM 331 – Organic Chemistry I (enrollment in lab highly recommended)
    • CHEM 332 – Organic Chemistry II (enrollment in lab highly recommended)
    • CHEM 402 – Advanced Inorganic Chemistry

Other Requirements

See General Outline for Mathematics + Application Area.




Mathematics + Computational Science and Engineering

Mathematics and Application Electives (8 courses)


  • MATH 373 – Intro to Scientific Computation
  • MATH 414 – Analysis I
  • MATH 424 – Intro to High-Performance Computing
  • MATH 481 – Numerical Methods for Differential Equations
  • COM S 228 – Intro to Data Structures
  • Three of the following courses:
    • STAT 330 – Probability and Statistics for Computer Science
    • STAT 430 – Empirical Methods for the Computational Sciences
    • COM S 311 – Design and Analysis of Algorithms
    • COM S 418 – Intro to Computational Geometry
    • AER E 361 – Computational Techniques for Aerospace Design
    • BCBIO 322 – Intro to Bioinformatics and Computational Biology

Other Requirements

See General Outline for Mathematics + Application Area.




Mathematics + Computer Science

Mathematics and Application Electives (8 courses)


  • MATH 301 or 414 – Abstract Algebra I or Analysis I
  • Two of the following courses:
    • MATH 304 – Combinatorics
    • MATH 314 – Graph
      Theory
    • MATH 350 – Number Theory
    • MATH 373 – Intro to Scientific Computation

    • MATH 407 – Applied Linear Algebra

    • MATH 421 – Logic for Mathematics and Computer Science

    • MATH 424 – Introduction to High-Performance Computing

    • MATH 439 – (through Spring of 2018) Mathematics of Fractals and Chaos

    • MATH 481 – Numerical Methods for Differential Equations

  • Five of the following courses:
    • COM S 309 – Software Development Practices
    • COM S 311 – Design and Analysis of Algorithms
    • COM S 319 – Software Construction and User Interfaces
    • COM S 331 – Theory of Computing
    • COM S 363 – Intro to Databases Management Systems
    • any COM S at the 400 level or higher

Other Requirements

See General Outline for Mathematics + Application Area.




Mathematics + Economics

Mathematics and Application Electives (8 courses)


  • MATH 414 – Analysis I

  • Two of the following courses:
    • MATH 304 – Combinatorics
    • MATH/STAT 341 – Intro to Theory of Probability and Statistics I
    • MATH/STAT 342 – Intro to Theory of Probability and Statistics II
    • MATH 373 – Intro to Scientific Computation
    • MATH 385 – Intro to Partial Differential Equations
    • MATH 407 – Applied Linear Algebra
    • MATH 415 – Analysis II
    • MATH 481 – Numerical Methods for Differential Equations

  • Five of the following courses

Other Requirements

See General Outline for Mathematics + Application Area.




Mathematics + Electrical Engineering

Mathematics and Applications Electives (8 courses)


  • MATH 301 or 414 – Abstract Algebra I or Analysis I
  • Two of the following courses:

  • Five of the following courses:
    • E E 224 – Signals and Systems I
    • E E 311 – Electromagnetic Fields and Waves
    • E E 321 – Communication Systems I
    • E E/STAT 322 – Probabilistic Methods for Electrical Engineers
    • E E 323 (through summer 2016) – Intro to Digital Signal Processing

    • E E 324 – Signals and Systems II
    • E E 422 – Communication Systems II
    • E E 424 – Introduction to Digital Signal Processing

Other Requirements

See General Outline for Mathematics + Application Area.



Notes

For engineering majors, a second major must include 15 credit hours not used for the major in engineering.




Mathematics + Finance

Mathematics and Application Electives (8 courses)


  • MATH 301 or 414 – Abstract Algebra I or Analysis I
  • Two of the following courses:
    • MATH/STAT 341 – Intro to Theory of Probability and Statistics I
    • MATH/STAT 342 – Intro to Theory of Probability and Statistics II
    • MATH 373 – Intro to Scientific Computation
    • MATH 385 – Intro to Partial Differential Equations
    • MATH 415 – Analysis II

  • ACCT 285 – Managerial Accounting
  • FIN 361 or 462 – Personal or Corporate Risk Management and Insurance
  • FIN 424 – Financial Futures and Options
  • MIS 301 – Management Information Systems

  • SCM 460 – Decision Tools for Logistics and Operations Management

Other Requirements

See General Outline for Mathematics + Application Area.




Mathematics + Materials Engineering

Mathematics and Application Electives (8 courses)


  • MATH 414 – Analysis I
  • Two of the following:

    • MATH 365 – Complex Variables
    • MATH 373 – Introduction to Scientific Computing
    • MATH 385 – Introduction to Partial Differential Equations
    • MATH 407 – Applied Linear Algebra
    • MATH 415 – Analysis II
    • MATH 481 – Numerical Methods of Differential Equations


  • Five of the following:


    • E M 324 – Mechanics of Materials
    • MAT E 311 – Thermodynamics in Materials Engineering
    • MAT E 314 – Kinetics and Phase Equilibria in Materials
    • MAT E 316 – Computational Methods in Materials
    • MAT E 321 – Introduciton to Ceramic Science
    • MAT E 334 – Electronic and Magnetic Properties of Metallic Materials
    • MAT E 351 – Introduction to Polymeric Materials

Other Requirements

See General Outline for Mathematics + Application Area.




Mathematics + Mechanical Engineering

Mathematics and Application Electives (8 courses)


  • MATH 414 – Analysis I
  • Two of the following:
    • MATH 365 – Complex Variables
    • MATH 373 – Introduction to Scientific Computing
    • MATH 385 – Introduction to Partial Differential Equations
    • MATH 407 – Applied Linear Algebra
    • MATH 415 – Analysis II
    • MATH 481 – Numerical Methods of Differential Equations

  • Five of the following:

Other Requirements

See General Outline for Mathematics + Application Area.




Mathematics + Physics

Mathematics and Application Electives (8 courses)

Other Requirements

See General Outline for Mathematics + Application Area.