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Baylor BU Mathematics Undergraduate Program Course Descriptions 3000 Level
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  • Course Descriptions
    • 1000 Level
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3000 Level

MTH 3300 - Foundations of Mathematics
Prerequisite(s): A grade of C or above in MTH 1321.
Core concepts of advanced mathematics: proofs, induction, sets, functions, equivalence relations, divisibility, modular arithmetic, real numbers, sequences and limits.

MTH 3312 - Foundations of Combinatorics and Algebra
Prerequisite(s): A grade of C or above in MTH 3300.
Introduction to combinatorics and algebra. Topics include elementary counting principles, mathematical syntax, fundamentals of set operations, maps and relations, fundamental properties of the integers, the ring of integers modulo n and rings of polynomials, irreducible polynomials, the construction of finite fields, and combinatorial designs.

MTH 3318 - Data and Chance
Prerequisite(s): A grade of C or above in MTH 1316.
Designed for the prospective teacher seeking an EC-4 generalist or a 4-8 mathematics certification. Core ideas from probability and statistics, including collection of data, patterns in data, and inference from data, in an active, lab-like environment. Credit may not be received after completion of STA 2381 or STA 3381. Does not apply toward the mathematics major.

MTH 3323 - Introduction to Analysis
Prerequisite(s): A grade of C or above in MTH 2321 and 3300.
A rigorous treatment of the real number system, sequences of real numbers, limits, continuous functions, and elements of differentiation and integration.

MTH 3324 - Numerical Methods (Cross-listed with CSI 3324)
Prerequisite(s): CSI 1430 and MTH 1321.
Numerical differentiation and integration, linear systems of equations, numerical solutions of ordinary differential equations, curve fitting, and computational techniques.

MTH 3325 - Ordinary Differential Equations
Prerequisite(s): A grade of C or above in MTH 2321 or concurrent enrollment.
Differential equations of first order, linear equations of order two and higher, introduction to power series methods, elements of the Laplace Transform, some facts from linear algebra and systems of differential equations.

MTH 3326 - Partial Differential Equations
Prerequisite(s): A grade of C or above in MTH 2321 and 3325.
Partial differential equations of physics, the method of separation of variables, orthogonal sets of functions, Fourier Series, boundary value problems, Fourier integrals and applications.

MTH 3327 - Partial Differential Equations for the Social Sciences
Prerequisite(s): A grade of C or above in MTH 2321 and 3325.
Introduction of partial differential equations that model social behavior, from crowd dynamics to optimal control. Topics include linear and nonlinear transport equations, Hamilton-Jacobi equations, and diffusions, with some applications to game theory.

MTH 3340 - Mathematics through Technology
Prerequisite(s): Credit for twelve hours of mathematics courses, at least three hours of which are at the 2000 level or above. (This prerequisite cannot be satisfied using any hours transferred in under the generic titles MTH 1000 or MTH 2000.)
Designed for the prospective mathematics teacher seeking certification for grades 4-8 or 8-12. Use of technology to explore, communicate, and reinforce mathematical concepts and problem solving from several areas of mathematics. Attention given to graphing calculators, interactive geometry computer packages, computer-based algebra packages, and spreadsheets or statistical packages. Written and oral presentations. Does not apply toward the mathematics major.

MTH 3350 - Structure of Modern Geometry
Prerequisite(s): A grade of C or above in MTH 2311 or 2317.
A study of the foundations of Euclidean geometry by synthetic methods with a brief introduction to non-Euclidean geometry.

MTH 3370 - Mathematical Methods of Operations Research
Prerequisite(s): A grade of C or above in MTH 2311.
A survey of models and methods used in operations research. Topics include linear programming, dynamic programming, and game theory, with emphasis on the construction of mathematical models for problems arising in a variety of applied areas and an introduction to basic solution techniques.

MTH 3374 - Introduction to Mathematical Modeling
Prerequisite(s): A grade of C or above in MTH 1322 or in both MTH 2317 and 3318.
An introduction to the process of mathematical modeling, including problem identification, model construction, model selection, simulation, and model verification. Individual and team projects.

MTH 3V90 - Advanced Undergraduate Research in Mathematics
Prerequisite(s): Consent of Instructor.
Advanced independent study or research in topics not available in other courses. May be repeated for a maximum of 3 hours.

Department of Mathematics

Sid Richardson Science Building
1410 S.4th Street
Waco, TX 76706

math@baylor.edu
(254) 710-3561
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Baylor BU Mathematics Undergraduate Program Course Descriptions 3000 Level
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      Back
      • Baylor Analysis Fest Conference Schedule
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    Back
    • Baylor Lecture Series in Mathematics
      Back
      • 2007-2008 Baylor Lecture Series in Mathematics
      • 2008-2009 Baylor Lecture Series in Mathematics
      • 2009-2010 Baylor Lecture Series in Mathematics
      • 2010-2011 Baylor Lecture Series in Mathematics
      • 2011-2012 Baylor Lecture Series in Mathematics
      • 2013-2014 Baylor Lecture Series in Mathematics
      • 2014-2015 Baylor Lecture Series in Mathematics
      • 2015-2016 Baylor Lecture Series in Mathematics
      • 2016-2017 Baylor Lecture Series in Mathematics
      • 2017-2018 Baylor Lecture Series in Mathematics
      • 2018-2019 Baylor Lecture Series in Mathematics
      • 2019-2020 Baylor Lecture Series in Mathematics
    • Baylor Undergraduate Lecture Series in Mathematics
      Back
      • 2008-2009 Baylor Undergraduate Lecture Series
      • 2009-2010 Baylor Undergraduate Lecture Series
      • 2010-2011 Baylor Undergraduate Lecture Series
      • 2011-2012 Baylor Undergraduate Lecture Series
      • 2012-2013 Baylor Undergraduate Lecture Series in Mathematics
      • 2013-2014 Baylor Undergraduate Lecture Series in Mathematics
      • 2014-2015 Baylor Undergraduate Lecture Series in Mathematics
      • 2015-2016 Baylor Undergraduate Lecture Series in Mathematics
      • 2016-2017 Baylor Undergraduate Lecture Series in Mathematics
      • 2017-2018 Baylor Undergraduate Lecture Series in Mathematics
      • 2018-2019 Baylor Undergraduate Lecture Series in Mathematics
    • Colloquia
    • Life Experiences in Mathematics Series
      Back
      • 2009-2010 Life Experiences in Mathematics Lecture Series
      • 2010-2011 Life Experiences in Mathematics
      • 2011-2012 Life Experiences in Mathematics
      • 2012-2013 - Life Experiences in Mathematics
      • 2013-2014 Life Experiences in Mathematics
      • 2014-2015 Life Experiences in Mathematics
      • 2015-2016 Life Experiences in Mathematics
    • Research Seminars
  • Undergraduate Program
    Back
    • Academic Resources
    • ALEKS Placement Exam
      Back
      • ALEKS Summer/Fall 2023
      • ALEKS Summer/Fall 2023 (ADA)
    • Apply Now
    • AWM - Baylor Chapter
    • Course Descriptions
      Back
      • 1000 Level
      • 2000 Level
      • 3000 Level
      • 4000 Level
      • Statistics Courses
      • Baylor Course Listings
    • Major in Mathematics!
    • Majors
      Back
      • B. A. in Mathematics with Mathematics Education Concentration
      • B.A. in Mathematics
      • B.S. in Applied Mathematics
      • B.S. in Mathematics
      • B.S. in Mathematics with Mathematics Education Concentration
      • Mathematics Minor
      • Secondary Major in Mathematics
    • Math Careers & Opportunities
    • Math Lab and Tutors
    • Math Videos
    • Mathematics Scholarships
      Back
      • Scholarship Form
    • Studying Tips
    • Transfer Policy
    • Undergraduate Advising
    • Undergraduate FAQs
    • Undergraduate Research
  • Graduate Program
    Back
    • Apply to Our Programs
    • AWM - Baylor Chapter
    • Course Descriptions
      Back
      • 4000 Level - Electives
      • 5000 Level - Core
      • 5000 Level - Electives
      • 6000 Level - Electives
    • Former Ph.D. Students
    • Graduate Advising
    • Graduate Faulty
    • Graduate FAQs
    • Graduate Student Information (restricted access)
    • Guidelines for Doctoral Students
    • Multimedia Resources
    • Ph.D. Degree
    • Previous Qualifying Examinations
    • Teaching Opportunities
    • Why Come to Baylor?
  • Research
    Back
    • Algebra
    • Analysis
    • Differential Equations
    • Mathematical Physics
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    • Representation Theory
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