Department of Mathematical Sciences


William C. Bauldry, Chairperson and Professor
Ph.D., Ohio State University
Approximation Theory, Computer Algebra


Alan T. Arnholt, Associate Professor
Ph.D., University of Northern Colorado
Statistical Simulation, Linear Models


Deborah A. Crocker, Assistant Professor
Ph.D., Ohio State University
Mathematics Education, Uses of Technology


Theresa E. Early, Professor
Ph.D., Florida State University
Statistics in the Elementary School, Abstract Algebra


Brian H. Felkel, Assistant Professor
Ph.D., Florida State University
Fourier Analysis


Gregory D. Foley, Professor
Ph.D., University of Texas at Austin
Mathematics Education


Mark C. Ginn, Assistant Professor
Ph.D., Emory University
Graph Theory


Sarah J. Greenwald, Assistant Professor
Ph.D., University of Pennsylvania
Geometry


Holly P. Hirst, Associate Professor
Ph.D., Pennsylvania State University
Numerical Analysis and Optimization Theory, Math Modeling


Gary D. Kader, Professor
Ph.D., University of Georgia
Statistics Education


Anita N. Kitchens, Professor
Ed.D., University of North Carolina at Greensboro
The Linking of Cognitive Psychology to the Teaching of Mathematics


Richard E. Klima, Assistant Professor
Ph.D., North Carolina State University
Algebraic Cryptography


Eric S. Marland, Assistant Professor
Ph.D., University of Utah
Applied Mathematics and Theoretical Biology


William A. McGalliard, Professor
Ph.D., University of Georgia
Mathematics Education


Gregory S. Rhoads, Assistant Professor
Ph.D., Purdue University
Complex Analysis and Minimal Surfaces


Jill T. Richie, Assistant Professor
Ph.D., Rensselaer Polytechnic Institute
Statistics Education and Applied Statistics




The Department of Mathematical Sciences offers graduate programs which are
designed to prepare graduates for careers in teaching at the secondary and community, junior and technical
college level, as well as preparation for further study at the Ph.D. level.


Programs emphasize broad training in the mathematical sciences with work in
statistics, computing, and applied mathematics in addition to core mathematics.


The following degree programs are offered:


(1) Master of Arts in Mathematics, Education (Major Code: 263*),
    with one concentration
    (a) Secondary School Teaching (Code: 263S)


(2) Master of Arts in Mathematics (Major Code: 264*), with one concentration
    (a) College Teaching (Code: 264B)


    
MASTER OF ARTS IN MATHEMATICS, EDUCATION+
Major Code: 263*
Concentration: Secondary School Teaching (Code: 263S)


Prerequisites:
Baccalaureate degree in mathematics or a related field from an accredited
college or university.
Undergraduate course work in linear algebra, geometry, and either probability
or statistics, as well as a sequence of courses in calculus.  In extenuating
circumstances, an applicant may obtain permission to remove deficiencies in
course work after entering the graduate program.
North Carolina "A" license or the equivalent from another state.
Basic Criteria for Consideration
(Undergraduate GPA  X  400)+  GRE Verbal  +  GRE Quantitative  =  2000
Other Criteria for All Applicants
3 recommendations
Deadline
1 July for Fall/   1 November for Spring/    1 April for Summer


+Requirements for this degree were designed, and have been approved by the
appropriate bodies at the state level, to meet the advanced competencies as
mandated in the North Carolina Excellent Schools Act for Master-level teacher
education programs.


Hours: 36 semester hours 


Required Core Courses:
   CI/SPE
       5045 Advanced Topics in Diversity................................3
   CI/LHE
       5585 Teacher Leadership and School Improvement...................3
   MAT 5525 Product of Learning.......................................1-3
   MAT 5910 Investigation in the Teaching of Mathematics................2
   MAT 5920 Linear Algebra for Teachers.................................4
   MAT 5930 Analysis for Teachers.......................................4
   MAT 5950 Mathematical Modeling-Analytical Models.....................2
   MAT 5951 Mathematical Modeling-Empirical Models......................2
            SUBTOTAL HOURS..............................................21-23


Electives: (must be approved by Graduate Advisory Committee)
      This list contains suggested electives, however, students are 
       not limited to these choices.
   MAT 5941 Technology for Secondary School Mathematics.................3
   MAT 5952 Problem Solving.............................................3
   MAT 5970 Number Theory Concepts......................................3
   MAT 5980 Special Topics in Mathematics Education...................1-3
            (Topics that could be rotated on a regular basis include:
            Geometry, Probability and Statistics, History of Math and
            Professional Standards in Mathematics Education)
   Mathematical Sciences courses numbered 5000 level.
   Courses in the College of Education may be used for up to 3 hours
   of electives with the permission of the advisory committee.
            SUBTOTAL HOURS..............................................13-15


            TOTAL HOURS....................................................36


   
Thesis: An optional part of Product of Learning


Language Proficiency: None required


Comprehensive: Written and oral examinations are required


Product of Learning: Required




MASTER OF ARTS IN MATHEMATICS
Major Code: 264*
Concentration:   College Teaching(Code: 264B)


Prerequisites:
Baccalaureate degree in mathematics or a related field from an accredited
college or university.
Undergraduate course work in statistics, linear algebra, differential equations
and analysis.  In extenuating circumstances, an applicant may obtain permission
to remove deficiencies in course work after entering the graduate program.
Basic Criteria for Consideration
(Undergraduate GPA  X  400)+  GRE Verbal  +  GRE Quantitative  =  2000
Other Criteria for All Applicants
3 recommendations
Deadline
1 July for Fall/   1 November for Spring/    1 April for Summer


Hours: 36 semester hours


Required Courses: 
    MAT 5415 Seminar in the Pedagogy of Mathematics...................3
                                          (3 semesters at 1 hour each)
    MAT 5420 Teaching Apprenticeship..................................3
                                          (3 semesters at 1 hour each)
    MAT 5610 Analysis I...............................................3
    MAT 5620 Analysis II..............................................3
    STT 5860 Mathematical Statistics I................................3
    STT 5865 Mathematical Statistics II...............................3
                SUBTOTAL HOURS.............................................18


Related Coursework--Choose two from:
    MAT 5125 History of Mathematics...................................3
    MAT 5230 Linear Algebra...........................................3
    MAT 5330 Mathematical Models......................................3
    MAT 5370 Advanced Differential Equations..........................3
                SUBTOTAL HOURS..............................................6


Electives(6 additional hours in mathematical sciences)
    Students may, with permission take up to 3 hours outside of mathematical
    sciences.  For students interested in pursuing careers in teaching at 
    the college level, one of the following is recommended:  LHE 5420, 
    LHE 5440, LHE 5630, or LHE 5890
                SUBTOTAL HOURS..............................................6


Capstone Component(Choose one from list below).....................6
    LHE 5900 Higher Education Internship/Field Study (3)
               and
    MAT 5525 Product of Learning (3)


       OR


    MAT 5525 Product of Learning (3)
               and 
    ........ 3 additional hours in mathematical sciences (3)


       OR


    MAT 5999 Thesis (6)
                SUBTOTAL HOURS..............................................6


                TOTAL HOURS................................................36




Thesis: Optional part of capstone


Language Proficiency:
    Demonstrated proficiency in use of technology, subject to the approval of
    the academic graduate committee in mathematics.


Comprehensive: Written and oral examinations are required.


Product of Learning/Capstone: Required




NOTE:
   During the first semester of course work, the candidate will meet with the
   Graduate Advisory Committee to design a program of study. Any subsequent
   changes in the program are made with the counsel and approval of this
   committee.




(For a description of the course abbreviations used in the following list of
courses, see page 46.)