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Department Chair:
K. Haddad
Program
Coordinator:
J. Fiedler
Program
Office:
Science Building I, 114A
Telephone:
(661) 654-3151
email:
mathdep@csub.edu
Website:
www.csub.edu/math/gprogram.htx
Faculty:
S. Behseta, J. Dirkse, M. El-Ansary, J. Fiedler, D. Gove, K.
Haddad, Y. Ko, C. Lam, R. Larson, M. Lutz, D. Murphy, R.
Peck, S. Raczkowski, M. Rush, L. Taylor, M. Thomas, J.
Trigos, L. Webb
Masters of
Arts in Teaching Mathematics
Program Description
This degree is
designed for working mathematics teachers with a Single
Subject Credential in Mathematics (from California or other
state
or nation), or mathematics
teachers holding a Supplementary Authorization in Elementary
Mathematics to a Single or Multiple Subject Credential. The
purpose of the Master of Arts in Teaching Mathematics is to
enable secondary and middle school mathematics teachers to
increase their understanding of secondary school
mathematics, its pedagogy, and related topics.
The course of study is designed to deepen the participant’s
mathematical knowledge and integrate it with his/her prior
experiences and training.
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Requirements for Admission
Admission to the
graduate program leading to the Master of Arts in Teaching
Mathematics requires the following:
1. A
baccalaureate degree with a relevant major (as determined by
the Mathematics Graduate Program Committee) from an
accredited college or university
2. A 2.50 GPA
(A=4.0) for the last (baccalaureate or post-baccalaureate)
90 quarter units (60 semester units) of college or
university coursework attempted
3. Good
academic standing at the last college or university attended
4. Submission
of a letter of application to the Department of Mathematics
5. Application
to the mathematics department and simultaneously to the
university for post-baccalaureate status.
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Admissions Standings
Classified
Standing
- A student may be formally admitted to the Master of Arts
in Teaching Mathematics in this category (or advanced to
this category from “Graduate Conditionally Classified”) if
the student fulfills all of the personal, professional, and
scholastic standards prescribed above.
Conditionally Classified
Standing
- A student may be conditionally admitted to the Master of
Arts in Teaching Mathematics if, in the judgment of the
Mathematics Graduate Program Committee, the student has
deficiencies in prerequisite preparation and can remedy
those deficiencies by completing course work and/or
examinations at a satisfactory level within the specified
period of time.
Advancement to
Graduate Candidacy
- A Classified graduate student may be advanced to Candidacy
upon completion of 30 (of 45) quarter units in his/her
approved graduate program. Advancement to Candidacy is
based on a formal review and recommendation by the
Mathematics Graduate Program Committee and approval by the
Associate Vice President for Academic Programs.
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Requirements for the
Master of Arts in Teaching Mathematics
A minimum of 45
units is required for the MA in Teaching Mathematics; the
following courses are required of all students:
MATH 520 Discrete
Mathematical Models
MATH 521
Statistics and Data Analysis
MATH 522
Numerical Approach to Calculus and
Differential
Equations
MATH 523
Geometric Linear Algebra
MATH 524 Number
Theory and Cryptography
MATH 525
Dynamical Geometry
MATH 526 History
of Mathematics
MATH 540
Introduction to Mathematics Education
Research
MATH 591
Culminating Project
Satisfaction of
the CSU Graduation Writing Assessment Requirement (GWAR).
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Course Descriptions
NOTE: Students
who have not attained graduate standing and who are
interested in enrolling in a graduate class are encouraged
to consult with the instructor and/or members of the
Mathematics Graduate Program Committee.
MATH 520 Discrete
Mathematical Models (5)
Construction and
analysis of difference models from physical, biological,
social, and financial sciences. Cobweb analysis,
convergence, stability and chaos in discrete dynamical
systems. Phase plane analysis of systems of difference
equations. Prerequisites: Graduate
standing. [F]
MATH 521
Statistics and Data Analysis (5)
Exploratory data
analysis; statistical inference including estimation,
testing hypotheses, and confidence intervals; contingency
tables and chi-square tests; linear and non-linear
statistical modeling; bootstrap and jackknife; smoothing
histograms; nonparametric techniques; and Bayesian
statistics. The course makes use of statistical packages.
Prerequisites: Graduate standing and prior experience with
statistical analysis at the level of
Math 140.
[W]
MATH 522
Numerical Approach to Calculus and Differential Equations
(5)
Use of numerical
and algebraic techniques to study change. The use of
forward, back, and symmetric differences in data analysis.
Divided differences as
average rates of change and as approximations to
instantaneous rate of change. Difference equations and
Euler’s method as numerical approximations to differential
equations. Riemann sums, midpoint, trapezoid and Simpson’s
method to approximate accumulated change. Error analysis
for numerical approximations. Prerequisites: (1) Graduate
standing and
MATH 520 or (2)
Graduate standing and
MATH 300. [F]
MATH 523
Geometric Linear Algebra (5)
The algebra and
geometry of vectors in two and three dimensions. Matrices as
linear transformations of R2 and
R3.
Rigid motions in three dimensions, rotations, reflections,
translations, and glide reflections Classification of Frieze
and space groups. Prerequisites: Graduate standing and
MATH 300. [S]
MATH 524
Number Theory and Cryptography (5)
Elementary
properties of prime numbers divisibility and modular
arithmetic. These concepts will be applied to cryptographic
systems, ranging from Caesar ciphers to RSA codes.
Significant amount of calculator programming is involved in
these applications. Additional topics selected by
instructor. Prerequisites: Graduate standing and
MATH 300. [S]
MATH 525
Dynamical Geometry (5)
Classical and
modern Euclidean geometry. Review of Euclid’s Book I.
Theorems of Menelaus and Ceva and their consequences.
Comparisons of synthetic and analytic methods. Additional
topics selected from inversions, tessellations, complex
analytic methods, and higher dimensional theories selected
by instructor. Investigation using dynamical geometry
software is emphasized. Prerequisites: Graduate standing and
MATH 300. [SS]
MATH 526
Introduction to the History of
Mathematics
(5)
Development of
mathematics from its empirical origins to its present form.
Euclid’s elements. Emphasis may vary with the instructor.
Evaluation will include at least one substantial student
paper. Prerequisites: (1) MATH 300; and (2) At least two
mathematics courses numbered above 300; and (3) Graduate
standing. [W]
MATH 540
Introduction to Mathematics Education Research (5)
Primary focus on
introduction to research related to contemporary issues in
mathematics education. Course includes understanding the
ethics, confidentiality, and protection of human subjects
involved in mathematics education research. Brief
introduction to basic philosophies, key terms, and generally
accepted strategies of both quantitative and qualitative
research, such as the criteria and processes appropriate for
establishing validity, reliability, credibility,
trustworthiness, variables, sampling, and data collection.
This course could provide the foundation for completing MATH
591. Prerequisites:
Graduate standing. [SS]
MATH 577 Advanced
Topics in Mathematics (1‑5)
Topics and
prerequisites to be announced. May be repeated for
different topics. General prerequisite: Major or minor in
Mathematics.
MATH 580
Advanced Research Participation (1‑5)
Individual
mathematical investigation, under supervision. (Experience
as a research assistant does not count for credit.) Offered
on a credit, no credit basis only. Prerequisite:
Permission of instructor.
MATH 591
Culminating Project (5)
Design and
implementation of a written report of mathematical or field
research or similar activity. Prerequisites: Successful
completion of 30 approved credits towards the Master of Arts
in Teaching Mathematics and appointment of a Culminating
Activity Committee of three graduate faculty.
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