Mathematics and Statistics

colorful shapes made of origami

College of Natural Science and Mathematics
Department of Mathematics and Statistics
907-474-7332

Department Overview

The number of new fields in which professional mathematicians find employment grows continually. This department prepares students for a variety of careers, including in industry, government and education, at both the undergraduate and graduate levels. In addition to the major programs, the department provides a number of service courses in support of other programs within the university. Current and detailed information on mathematics degrees and course offerings is available from the department. The department maintains a math lab that is available for assistance to all students studying mathematics at the baccalaureate level.


B.A., B.S., Mathematics

Two concentrations are available:

  • Mathematics

  • Statistics

Minimum Requirements for Mathematics Bachelor's Degrees: 120 credits

Learn more about the bachelor’s degree in mathematics, including an overview of the program, career opportunities and more.

Accelerated B.S./M.S., Mathematics

The combined Bachelor of Science in Mathematics and Master of Science in Mathematics program allows dedicated mathematics students to complete two degrees in a compressed time frame (typically, five years instead of six), while still maintaining the rigor and content of both degrees.

Minimum Requirements for Accelerated Mathematics B.S./M.S. Degrees: 138 credits

Learn more about the bachelor’s degree in mathematics, including an overview of the program, career opportunities and more.

Learn more about the master’s degree in mathematics, including an overview of the program, career opportunities and more.

Accelerated B.S., Mathematics/M.S., Statistics and Data Science

The combined Bachelor of Science in Mathematics with a concentration in Statistics and Master of Science in Statistics and Data Science program allows dedicated statistics students to complete two degrees in a compressed time frame (typically, five years instead of six), while still maintaining the rigor and content of both degrees. Students will receive a B.S. in Mathematics with a concentration in Statistics, and an M.S. in Statistics and Data Science.

Minimum Requirements for Accelerated Math B.S./Statistics and Data Science M.S. Degrees: 138 credits

Learn more about the bachelor’s degree in mathematics, including an overview of the program, career opportunities and more.

Learn more about the master’s degree in statistics and data science, including an overview of the program, career opportunities and more.

M.S., Ph.D., Mathematics

The number of new fields in which professional mathematicians find employment grows continually. This department prepares students for careers in industry, government and education.

The Master of Science in Mathematics prepares students for Ph.D. work, in addition to providing a terminal degree for those planning to enter industry or education. The aim of the Ph.D. program is to provide the student with the expertise to accomplish significant research in applied or pure mathematics, as well as to provide a broad and deep professional education.

In addition to the major programs, the department provides a number of service courses in support of other programs within the university. Current and detailed information on mathematics degrees and course offerings is available from the department.

Minimum Requirements for Mathematics Degrees: M.S.: 30 credits; Ph.D.: 18 thesis credits

Learn more about the master’s degree in mathematics, including an overview of the program, career opportunities and more.

M.S., Statistics and Data Science

Statistics is a collection of methods and theories used to make decisions or estimate unknown quantities from incomplete information. Statistical techniques are useful, for example, in estimating plant, animal and mineral abundances; forecasting social, political and economic trends; planning field plot experiments in agriculture; performing clinical trials in medical research; and maintaining quality control in industry. Employment opportunities are excellent for statisticians in many of these areas.

The Master of Science in Statistics and Data Science builds upon UAF’s strength in the sciences and our setting in Alaska by introducing a strong quantitative alternative or supplement to existing programs. The curriculum is built around four statistics core courses and flexibility in the selection of elective courses. The core courses are designed to blend mathematical statistics coursework typical of most M.S. programs in statistics with real applications. We believe this blending provides a substantial improvement in the graduate’s skills.

Graduates of this program could be labeled quantitative biologists, biometricians, quantitative geologists, geostatisticians, or mathematical statisticians depending upon their specific course work. In addition, this program prepares individuals for Ph.D.-level work in statistics or their area of application.

Minimum Requirements for Statistics and Data Science M.S.: 30 credits

Learn more about the master’s degree in statistics and data science, including an overview of the program, career opportunities and more.

Graduate Certificate, Applied and Computational Mathematics

The graduate certificate in applied and computational mathematics is equivalent to most of a year of coursework done by graduate students in this area. The certificate encourages a more in-depth study of mathematics beyond the undergraduate level. The focus is on mathematics that is useful in the sciences and engineering, especially on techniques that can be applied in computer programs. Furthermore, it provides students with a credential recognizing their additional mathematical expertise.

The certificate is ideal for current graduate students in disciplines other than mathematics who seek greater exposure to mathematical ideas and techniques. It is most suitable for students in the sciences and engineering. It is not suitable for students already enrolled in the M.S. in mathematics or Ph.D. in mathematics programs.

Minimum Requirements for Applied and Computational Mathematics Graduate Certificate: 12 credits

Graduate Certificate, Statistics

Statistics is a collection of methods and theories used to make decisions or estimate unknown quantities from incomplete information. Statistical techniques are useful, for example, in estimating plant, animal and mineral abundances; forecasting social, political and economic trends; planning field plot experiments in agriculture; performing clinical trials in medical research; and maintaining quality control in industry. Employment opportunities are excellent for statisticians in many of these areas.

As a postbaccalaureate program, the certificate in statistics is equivalent to a full year of graduate statistics courses and is ideal for current graduate students in disciplines other than statistics (especially the sciences). The graduate certificate in statistics encourages a more in-depth study of statistics and provides students a credential recognizing their quantitative expertise.

Graduates of this program could be labeled quantitative biologists, biometricians, quantitative geologists, geostatisticians, or mathematical statisticians depending upon their specific course work. In addition, this program prepares individuals for Ph.D.-level work in statistics or their area of application.

Minimum Requirements for Statistics Graduate Certificate: 12 credits.

Courses

Mathematics (MATH F113+)

MATH F113X      Numbers and Society      (m)
3 Credits

Offered Fall, Spring and Summer

Numbers and patterns are present in every aspect of daily life. We use mathematical concepts and tools to understand what numbers and patterns can tell us. Topics may include the mathematics of voting; dividing things fairly; determining efficient routes and schedules; modeling population growth; understanding financial mathematics; and introductory cryptography.

Prerequisites: An appropriate score on the math placement test, or a grade of B or better in MATH F055, MATH F062 or MATH F068.

Attributes: UAF GER Mathematics Req

Lecture + Lab + Other: 3 + 0 + 0

Grading System: Letter Grades with option of Plus/Minus

MATH F122X      Essential Precalculus with Applications      (m)
3 Credits

Offered Fall and Spring

A study of various classes of functions, exploring their numeric, algebraic and graphical aspects. Function classes include linear, quadratic, rational, exponential and logarithmic. This course is appropriate for students in programs relating to business and economics or life sciences or students intending to take MATH F230X.

Prerequisites: Appropriate placement score, MATH F105, MATH F105N or MATH F105J.

Special Notes: Credit may be earned for MATH F151X or MATH F122X, but not for both.

Attributes: UAF GER Mathematics Req

Lecture + Lab + Other: 3 + 0 + 0

Grading System: Letter Grades with option of Plus/Minus

MATH F151X      College Algebra for Calculus      (m)
4 Credits

Offered Fall and Spring

Study of algebraic, logarithmic and exponential functions; systems of equations; applications.

Prerequisites: Appropriate score on the math placement test, B or better in MATH F105, B or better in MATH F105J or C or better in MATH F105N.

Special Notes: Credit may be earned for MATH F151X or MATH F122X, but not for both; Only eight credits total may be earned from MATH F151X, MATH F152X and MATH F156X.

Attributes: UAF GER Mathematics Req

Lecture + Lab + Other: 4.5 + 0 + 0

Grading System: Letter Grades with option of Plus/Minus

MATH F152X      Trigonometry      (m)
3 Credits

Offered Fall and Spring

A study of trigonometric functions including graphing, identities, inverse trigonometric functions, solving equations and polar coordinates; applications.

Prerequisites: MATH F151X (may be taken concurrently) or placement.

Special Notes: Only eight credits total may be earned from MATH F151X, MATH F152X and MATH F156X.

Attributes: UAF GER Mathematics Req

Lecture + Lab + Other: 3 + 0 + 0

Grading System: Letter Grades with option of Plus/Minus

MATH F156X      Precalculus      (m)
4 Credits

Offered Fall and Spring

Various classes of functions and their graphs are explored numerically, algebraically and graphically. Function classes include polynomial, rational, exponential, logarithmic and trigonometric. Skills and concepts needed for calculus are emphasized. This class is intended for students intending to take MATH F251X.

Prerequisites: Placement into MATH F156X.

Special Notes: Only eight credits total may be earned from MATH F151X, MATH F152X and MATH F156X.

Attributes: UAF GER Mathematics Req

Lecture + Lab + Other: 4 + 1 + 0

Grading System: Letter Grades with option of Plus/Minus

MATH F186      Applied Engineering Mathematics
4 Credits

Offered Fall

Fundamental mathematics topics appearing in first- and second-year engineering classes. All content is taught within the context of an engineering application. Specific topics include applications of algebra, trigonometry, vectors, sinusoids, linear systems, complex numbers, derivatives and integrals.

Prerequisites: Appropriate score on the math placement test and high school trigonometry; or MATH F151X and MATH F152X; or MATH F156X.

Cross-listed with ES F186.

Lecture + Lab + Other: 4 + 1 + 0

Grading System: Letter Grades with option of Plus/Minus

MATH F211      Mathematics for Elementary School Teachers      (m)
3 Credits

Offered Fall

Elementary set theory, numeration systems, and algorithms of arithmetic, divisors, multiples, integers and introduction to rational numbers. Emphasis on classroom methods. Restricted to Elementary Education majors; others by permission of instructor.

Prerequisites: MATH F122X; or MATH F151X; or MATH F156X; or placement.

Lecture + Lab + Other: 3 + 1 + 0

Grading System: Letter Grades with option of Plus/Minus

MATH F212      Mathematics for Elementary School Teachers II      (m)
3 Credits

Offered Spring

A continuation of MATH F211. Real number systems and subsystems, logic, informal geometry, metric system, probability and statistics. Emphasis on classroom methods.

Prerequisites: MATH F211.

Lecture + Lab + Other: 3 + 1 + 0

Grading System: Letter Grades with option of Plus/Minus

MATH F230X      Essential Calculus with Applications in the Life Sciences
3 Credits

Offered Fall and Spring

An introduction to the key ideas of differential and integral calculus, emphasizing applications in the life sciences. This course emphasizes a solid conceptual understanding, along with calculation techniques for basic applications. MATH F230X cannot serve as a prerequisite for MATH F252X.

Prerequisites: MATH F122X or MATH F151X or MATH F156X or appropriate score on the math placement test.

Special Notes: Credit cannot be earned for both MATH F230X and MATH F251X.

Attributes: UAF GER Mathematics Req

Lecture + Lab + Other: 3 + 0 + 0

Grading System: Letter Grades with option of Plus/Minus

MATH F251L      Calculus I Recitation
0 Credit

Offered Fall and Spring

Recitation section for Calculus I. Activities may include worksheets, quizzes and problem sessions associated with corresponding lecture material from MATH F251X, with an emphasis on prerequisite support.

Corequisites: MATH F251X.

Attributes: UAF GER Mathematics Req

Lecture + Lab + Other: 0 + 2 + 0

Grading System: Non-Graded

MATH F251X      Calculus I      (m)
4 Credits

Offered Fall and Spring

A first course in single-variable calculus. Topics include limits; continuity and differentiation of functions; applications of the derivative to graphing, optimization, and rates of change; definite and indefinite integration; and the Fundamental Theorem of Calculus.

Prerequisites: Appropriate score on the math placement test; or MATH F151X and MATH F152X; or MATH F156X; or ES/MATH F186.

Corequisites: MATH F251L.

Special Notes: Credit may not be earned for both MATH F251X and MATH F230X.

Attributes: UAF GER Mathematics Req

Lecture + Lab + Other: 4 + 0 + 0

Grading System: Letter Grades with option of Plus/Minus

MATH F252L      MATH F252X Recitation
0 Credit

Offered Fall and Spring

Co-requisites: MATH F252X.

Attributes: UAF GER Mathematics Req

Lecture + Lab + Other: 0 + 0 + 0

Grading System: Non-Graded

MATH F252X      Calculus II      (m)
4 Credits

Offered Fall and Spring

Further topics in single-variable calculus, including techniques of integration; applications of integration; convergence of sequences and series; parameterized curves; and polar coordinates.

Prerequisites: MATH F251X.

Co-requisites: MATH F252L.

Attributes: UAF GER Mathematics Req

Lecture + Lab + Other: 4 + 1 + 0

Grading System: Letter Grades with option of Plus/Minus

MATH F253X      Calculus III      (m)
4 Credits

Offered Fall and Spring

Multivariable calculus. Topics include vectors in 2- and 3-dimensions; differential calculus of functions of several variables; multiple integration; vector calculus, including Green's and Stokes' Theorem; and applications.

Prerequisites: MATH F252X.

Attributes: UAF GER Mathematics Req

Lecture + Lab + Other: 4 + 0 + 0

Grading System: Letter Grades with option of Plus/Minus

MATH F265      Introduction to Mathematical Proofs      (m)
3 Credits

Offered Spring

Emphasis on proof techniques with topics including logic, sets, cardinality, relations, functions, equivalence, induction, number theory, congruence classes and elementary counting. In addition, a rigorous treatment of topics from calculus or a selection of additional topics from discrete mathematics may be included.

Prerequisites: MATH F252X (may be taken concurrently).

Lecture + Lab + Other: 3 + 0 + 0

Grading System: Letter Grades with option of Plus/Minus

MATH F302      Differential Equations
3 Credits

Offered Fall and Spring

Nature and origin of differential equations, first order equations and solutions, linear differential equations with constant coefficients, systems of equations, power series solutions, operational methods, and applications.

Prerequisites: MATH F253X.

Lecture + Lab + Other: 3 + 0 + 0

Grading System: Letter Grades with option of Plus/Minus

MATH F305      Geometry
3 Credits

Offered Spring Even-numbered Years

Topics selected from such fields as Euclidean and non-Euclidean plane geometry, affine geometry, projective geometry, and topology.

Prerequisites: MATH F265; MATH F314.

Recommended: MATH F253X.

Lecture + Lab + Other: 3 + 0 + 0

Grading System: Letter Grades with option of Plus/Minus

MATH F307      Discrete Mathematics
3 Credits

Offered Spring

Logic, counting, sets and functions, recurrence relations, graphs and trees. Additional topics chosen from probability theory.

Prerequisites: MATH F252X.

Lecture + Lab + Other: 3 + 0 + 0

Grading System: Letter Grades with option of Plus/Minus

MATH F314      Linear Algebra
3 Credits

Offered Fall and Spring

Linear equations, finite dimensional vector spaces, matrices, determinants, linear transformations and characteristic values. Inner product spaces.

Prerequisites: MATH F252X.

Lecture + Lab + Other: 3 + 0 + 0

Grading System: Letter Grades with option of Plus/Minus

MATH F316      Introduction to the History of Mathematics
3 Credits

Offered Spring Odd-numbered Years

Important periods in the history of mathematics, including mathematics of Ancient Babylon, Mesopotamia, Greece, China and India, medieval Europe, the Middle East and the Renaissance; the development of geometry, algebra and calculus. Other areas in the development of mathematics will be studied as time permits.

Prerequisites: MATH F253X; MATH F265 (may be taken concurrently).

Lecture + Lab + Other: 3 + 0 + 0

Grading System: Letter Grades with option of Plus/Minus

MATH F320      Topics in Combinatorics
3 Credits

Offered Fall Odd-numbered Years

Introduction to some fundamental ideas of combinatorics. Topics selected from such fields as enumerative combinatorics, generating functions, set systems, recurrence relations, directed graphs, matchings, Hamiltonian and Eulerian graphs, trees and graph colorings.

Prerequisites: MATH F265.

Lecture + Lab + Other: 3 + 0 + 0

Grading System: Letter Grades with option of Plus/Minus

MATH F321      Number Theory
3 Credits

Offered Fall Even-numbered Years

Number theory investigates the properties of the integers, one of the most basic of mathematical sets. Seemingly naive number-theoretic questions stimulated much of the development of modern mathematics! Topics may include classical areas such as primality, congruences, quadratic reciprocity and Diophantine equations, and more recent applications, such as cryptography.

Prerequisites: MATH F265.

Lecture + Lab + Other: 3 + 0 + 0

Grading System: Letter Grades with option of Plus/Minus

MATH F371      Probability
3 Credits

Offered Fall Odd-numbered Years

Probability spaces, conditional probability, random variables, continuous and discrete distributions, expectation, moments, moment generating functions and characteristic functions.

Prerequisites: MATH F253X.

Lecture + Lab + Other: 3 + 0 + 0

Grading System: Letter Grades with option of Plus/Minus

MATH F401      Introduction to Real Analysis
3 Credits

Offered Fall

Completeness of the real numbers and its consequence, convergence of sequences and series, limits and continuity, differentiation, the Riemann integral.

Prerequisites: WRTG F111X; WRTG F211X, WRTG F212X, WRTG F213X or WRTG F214X; MATH F253X; MATH F265.

Lecture + Lab + Other: 3 + 0 + 0

Grading System: Letter Grades with option of Plus/Minus

MATH F404      Introduction to Topology
3 Credits

Offered Fall Even-numbered Years

Introduction to topological spaces, set theory, open sets, compactness, connectedness, product spaces, metric spaces and continua.

Prerequisites: MATH F253X; MATH F265.

Recommended: MATH F314 and/or MATH F405.

Lecture + Lab + Other: 3 + 0 + 0

Grading System: Letter Grades with option of Plus/Minus

MATH F405      Abstract Algebra
3 Credits

Offered Spring

Theory of groups, rings and fields.

Prerequisites: WRTG F111X; WRTG F211X, WRTG F212X, WRTG F213X or WRTG F214X; MATH F265.

Recommended: MATH F307 and/or MATH F314.

Lecture + Lab + Other: 3 + 0 + 0

Grading System: Letter Grades with option of Plus/Minus

MATH F408      Mathematical Statistics
3 Credits

Offered Spring Even-numbered Years

Distribution of random variables and functions of random variables, interval estimation, point estimation, sufficient statistics, order statistics, and test of hypotheses including various criteria for tests.

Prerequisites: MATH F371; STAT F200X or STAT F300.

Lecture + Lab + Other: 3 + 0 + 0

Grading System: Letter Grades with option of Plus/Minus

MATH F410      Introduction to Complex Analysis
3 Credits

Offered Fall Odd-numbered Years

Complex functions including series, integrals, residues, conformal mapping and applications.

Prerequisites: MATH F253X.

Lecture + Lab + Other: 3 + 0 + 0

Grading System: Letter Grades with option of Plus/Minus

MATH F412      Differential Geometry
3 Credits

Offered Spring Odd-numbered Years

Introduction to the differential geometry of curves, surfaces, and Riemannian manifolds. Basic concepts covered include the Frenet-Serret apparatus, surfaces, first and second fundamental forms, geodesics, Gauss curvature and the Gauss-Bonnet Theorem. Time permitting, topics such as minimal surfaces, theory of hypersurfaces and/or tensor analysis may be included.

Prerequisites: MATH F314; MATH F401.

Lecture + Lab + Other: 3 + 0 + 0

Grading System: Letter Grades with option of Plus/Minus

MATH F426      Numerical Analysis
3 Credits

Offered Fall

Direct and iterative solutions of systems of equations, interpolation, numerical differentiation and integration, numerical solutions of ordinary differential equations, and error analysis.

Prerequisites: MATH F302 or MATH F314.

Recommended: Knowledge of programming.

Lecture + Lab + Other: 3 + 0 + 0

Grading System: Letter Grades with option of Plus/Minus

MATH F430      Topics in Mathematics
3 Credits

Offered Fall Even-numbered Years

An elective course in mathematics for majors. Topics will vary from year to year and may be drawn from mathematical biology, numerical linear algebra, graph theory, logic, or other areas of mathematics. May be repeated with permission of instructor for a total of nine credits.

Prerequisites: MATH F265.

Lecture + Lab + Other: 3 + 0 + 0

Grading System: Letter Grades with option of Plus/Minus

Repeatable for Credit: May be taken 3 times for up to 9 credits

MATH F432      Introduction to Partial Differential Equations
3 Credits

Offered Spring Odd-numbered Years

Analysis and solution of partial differential equations. Initial and boundary value problems for parabolic, hyperbolic and elliptic types. Solution methods include separation of variables and Fourier transform.

Prerequisites: MATH F302.

Lecture + Lab + Other: 3 + 0 + 0

Grading System: Letter Grades with option of Plus/Minus

MATH F460      Mathematical Modeling
3 Credits

Offered Spring Even-numbered Years

Introduction to mathematical modeling using differential or difference equations. Emphasis is on formulating models and interpreting qualitative behavior such models predict. Examples will be taken from a variety of fields, depending on the interest of the instructor. Students develop a modeling project.

Prerequisites: COM F131X or COM F141X; MATH F252X; WRTG F111X; WRTG F211X, WRTG F212X, WRTG F213X or WRTG F214X.

Recommended: one or more of MATH F302, MATH F314, MATH F401, MATH F426, STAT F300 or some programming experience.

Lecture + Lab + Other: 3 + 0 + 0

Grading System: Letter Grades with option of Plus/Minus

MATH F490      Senior Seminar
3 Credits

Offered Spring

Advanced topics selected from areas outside the usual undergraduate offerings. A substantial level of mathematical maturity is assumed.

Prerequisites: COM F131X or COM F141X; at least one of MATH F401 or MATH F405; senior standing.

Lecture + Lab + Other: 3 + 0 + 0

Grading System: Letter Grades with option of Plus/Minus

MATH F600      Teaching Seminar
1 Credit

Offered Fall

Fundamentals of teaching mathematics in a university setting. Topics may include any aspect of teaching: university regulations, class and lecture organization, testing, book selection, teaching evaluations, etc. Specific topics will vary on the basis of student and instructor interest. Individual classroom visits will also be used for class discussion.

Prerequisites: Graduate standing.

Lecture + Lab + Other: 1 + 0 + 0

Grading System: Pass/Fail Grades

Repeatable for Credit: May be taken 2 times for up to 2 credits

MATH F614      Numerical Linear Algebra
3 Credits

Offered Fall Odd-numbered Years

Algorithms and theory for stable and accurate computation using matrices and vectors on computers. Matrix factorizations, direct and iterative methods for solving linear systems, least squares, eigenvalue and singular value decompositions. Practical implementation and application of algorithms.

Prerequisites: MATH F314.

Recommended: MATH F401 or MATH F432.

Lecture + Lab + Other: 3 + 0 + 0

Grading System: Letter Grades with option of Plus/Minus

MATH F615      Numerical Analysis of Differential Equations
3 Credits

Offered Spring Odd-numbered Years

Review of numerical differentiation and integration, and the numerical solution of ordinary differential equations. Main topics to include the numerical solution of partial differential equations, curve fitting, splines, and the approximation of functions. Supplementary topics such as the numerical method of lines, the fast Fourier transform, and finite elements may be included as time permits and interest warrants.

Prerequisites: CS F201; MATH F314; MATH F410; MATH F426; MATH F432.

Lecture + Lab + Other: 3 + 0 + 0

Grading System: Letter Grades with option of Plus/Minus

MATH F617      Functional Analysis
3 Credits

Offered Spring Even-numbered Years

Study of Banach and Hilbert spaces, and continuous linear maps between them. Linear functionals and the Hahn-Banach theorem. Applications of the Baire Category theorem. Compact operators, self adjoint operators, and their spectral properties. Weak topology and its applications.

Prerequisites: MATH F314; MATH F401.

Recommended: MATH F410; MATH F641.

Lecture + Lab + Other: 3 + 0 + 0

Grading System: Letter Grades with option of Plus/Minus

MATH F631      Algebra I
4 Credits

Offered Fall Even-numbered Years

Rigorous development of groups, rings and fields.

Prerequisites: MATH F405.

Lecture + Lab + Other: 4 + 0 + 0

Grading System: Letter Grades with option of Plus/Minus

MATH F632      Algebra II
3 Credits

Offered Spring Odd-numbered Years

Advanced topics which may be chosen from group theory, Galois theory, commutative or non-commutative algebra, algebraic geometry, homological algebra or other areas.

Prerequisites: MATH F631.

Lecture + Lab + Other: 3 + 0 + 0

Grading System: Letter Grades with option of Plus/Minus

MATH F641      Real Analysis
4 Credits

Offered Fall Odd-numbered Years

General theory of Lebesgue measure and Lebesgue integration on the real line. Convergence properties of the integral. Introduction to the general theory of measures and integration. Differentiation, the product measures and an introduction to LP spaces.

Prerequisites: MATH F401.

Lecture + Lab + Other: 4 + 0 + 0

Grading System: Letter Grades with option of Plus/Minus

MATH F645      Complex Analysis
4 Credits

Offered Spring Even-numbered Years

Analytic functions, power series, Cauchy integral theory, residue theorem. Basic topology of the complex plane and the structure theory of analytic functions. The Riemann mapping theorem. Infinite products.

Prerequisites: MATH F641.

Lecture + Lab + Other: 4 + 0 + 0

Grading System: Letter Grades with option of Plus/Minus

MATH F651      Topology
4 Credits

Offered Spring Odd-numbered Years

Treatment of the fundamental topics of point-set topology. Separation axioms, product and quotient spaces, convergence via nets and filters, compactness and compactifications, paracompactness, metrization theorems, countability properties, and connectedness. Set theory as needed for examples and proof techniques.

Prerequisites: MATH F401 or MATH F404.

Lecture + Lab + Other: 4 + 0 + 0

Grading System: Letter Grades with option of Plus/Minus

MATH F658      Topics in Geometry
3 Credits

Offered Fall Even-numbered Years

Elective topics in geometry. Recent offerings include configurations of points and lines; topology and differential geometry of surfaces; polyhedra and polytopes.

Prerequisites: Linear algebra; geometry; undergraduate real analysis; undergraduate abstract algebra.

Lecture + Lab + Other: 3 + 0 + 0

Grading System: Letter Grades with option of Plus/Minus

Repeatable for Credit: May be taken 2 times for up to 6 credits

MATH F660      Advanced Mathematical Modeling
3 Credits

Offered Spring Even-numbered Years

The mathematical formulation and analysis of problems arising in the physical, biological, or social sciences. The focus area of the course may vary, but emphasis will be given to modeling assumptions, derivation of model equations, methods of analysis, and interpretation of results for the particular applications. Examples include heat conduction problems, random walk processes, molecular evolution, perturbation theory. Students will develop a modeling project as part of the course requirements.

Prerequisites: Permission of instructor.

Lecture + Lab + Other: 3 + 0 + 0

Grading System: Letter Grades with option of Plus/Minus

MATH F661      Optimization
3 Credits

Offered Fall Even-numbered Years

Linear and nonlinear programming, simplex method, duality and dual simplex method, post-optimal analysis, constrained and unconstrained nonlinear programming, Kuhn-Tucker conditions. Applications to management, physical and life sciences. Computational work with the computer.

Prerequisites: Knowledge of calculus, linear algebra and computer programming.

Lecture + Lab + Other: 3 + 0 + 0

Grading System: Letter Grades with option of Plus/Minus

MATH F663      Graph Theory
3 Credits

Offered Fall Odd-numbered Years

A survey of modern techniques in graph theory; topics may include graphs and digraphs, trees, spanning trees, matchings, graph connectivity, graph coloring, planarity, cycles, and extremal problems.

Prerequisites: MATH F314; MATH F320.

Lecture + Lab + Other: 3 + 0 + 0

Grading System: Letter Grades with option of Plus/Minus

MATH F665      Topics in Graduate Mathematics
3 Credits

Offered As Demand Warrants

Elective courses in graduate mathematics offered by faculty on a rotating basis. Topics may include, but are not limited to, graph theory, glaciology modeling, general relativity, mathematical biology, Galois theory and numerical linear algebra. May be repeated for credit with permission of instructor.

Lecture + Lab + Other: 3 + 0 + 0

Grading System: Letter Grades with option of Plus/Minus

Repeatable for Credit: May be taken 3 times for up to 9 credits

MATH F692      Seminar
1-6 Credits

Lecture + Lab + Other: 0 + 0 + 0

Grading System: Letter Grades with option of Plus/Minus

Repeatable for Credit: May be taken unlimited times for up to 99 credits

MATH F698      Non-thesis Research/Project
1-6 Credits

Lecture + Lab + Other: 0 + 0 + 0

Grading System: Pass/Fail Grades

Repeatable for Credit: May be taken unlimited times for up to 99 credits

MATH F699      Thesis
1-9 Credits

Lecture + Lab + Other: 0 + 0 + 0

Grading System: Pass/Fail Grades

Repeatable for Credit: May be taken unlimited times for up to 99 credits

Statistics (STAT)

STAT F200X      Elementary Statistics      (m)
3 Credits

Offered Fall and Spring

Introduction to concepts and applications of elementary statistical methods. Topics include sampling and data analysis, descriptive statistics, elementary probability, probability and sampling distributions, confidence intervals, hypothesis testing, correlation, and simple linear regression.

Prerequisites: Appropriate placement score; or a grade of B or better in MATH F105 or MATH F105N or in all three of MATH F105G and MATH F105H and MATH F105J; or grade of C- or better in a math course numbered F122 or above.

Attributes: UAF GER Mathematics Req

Lecture + Lab + Other: 3 + 0 + 0

Grading System: Letter Grades with option of Plus/Minus

STAT F300      Statistics
3 Credits

Offered Fall and Spring

A calculus-based course emphasizing applications. Topics include probability, joint and conditional probability, expectation and variance, parameter estimation (method of moments and maximum likelihood), one and two sample hypothesis tests, simple linear regression and one-way analysis of variance.

Prerequisites: MATH F230X or MATH F251X or placement.

Lecture + Lab + Other: 3 + 0 + 0

Grading System: Letter Grades with option of Plus/Minus

STAT F401      Regression and Analysis of Variance
4 Credits

Offered Fall and Spring

Multiple regression including multiple and partial correlation, extra sum of squares principle, indicator variables, polynomial models, model selection, and assessment of underlying assumptions. Analysis of variance and covariance for multifactor studies in completely random and randomized complete block designs, multiple comparisons and orthogonal contrasts. Matrix concepts are taught as needed.

Prerequisites: STAT F200X or STAT F300.

Corequisites: STAT F401L.

Lecture + Lab + Other: 3 + 3 + 0

Grading System: Letter Grades with option of Plus/Minus

STAT F401L      STAT F401 Laboratory
0 Credit

Offered Fall and Spring

Computer laboratory section for STAT F401 Regression and Analysis of Variance. Activities may include case studies involving the application of lecture topics and methods in R software.

Corequisites: STAT F401.

Lecture + Lab + Other: 0 + 3 + 0

Grading System: Non-Graded

STAT F402      Scientific Sampling
3 Credits

Offered Fall

Sampling methods, including simple random, stratified and systematic and one- and two-stage cluster sampling; estimation procedures, including ratio and regression methods; special area and point sampling procedures; optimum allocation. Adaptive and probability sampling; bootstrapping and basic mark-and-recapture.

Prerequisites: STAT F200X or STAT F300.

Lecture + Lab + Other: 3 + 0 + 0

Grading System: Letter Grades with option of Plus/Minus

STAT F454      Statistical Consulting Seminar
1 Credit

Offered Spring

Introduction to statistical consulting and data analysis. Emphasis on interaction with researchers and identification of scientific and statistical issues relevant to the research problem. Includes regular class meetings as well as supervised meetings with researchers. Designed to combine mathematical statistics with applications from a variety of fields.

Prerequisites: MATH F408; STAT F200X or STAT F300; STAT F401.

Stacked with STAT F654.

Special Notes: Students from any field of study with strong quantitative skills are encouraged to enroll.

Lecture + Lab + Other: 1 + 0 + 0

Grading System: Pass/Fail Grades

Repeatable for Credit: May be taken 3 times for up to 3 credits

STAT F461      Applied Multivariate Statistics
3 Credits

Offered Spring Even-numbered Years

Estimation and hypothesis testing, multivariate normality and its assessment, multivariate one and two sample tests, confidence regions, multivariate analysis of variance, discrimination and classification, principal components, factor analysis, clustering techniques and graphical presentation. Statistical computing packages utilized in assignments.

Prerequisites: STAT F401.

Lecture + Lab + Other: 3 + 0 + 0

Grading System: Letter Grades with option of Plus/Minus

STAT F602      Experimental Design
3 Credits

Offered Fall Even-numbered Years

Constructing and analyzing designs for experimental investigations; completely randomized, randomized block and Latin-square designs, split-plot design, incomplete block design, confounded factorial designs, nested designs, treatment of missing data, comparison of designs.

Prerequisites: STAT F401.

Lecture + Lab + Other: 3 + 0 + 0

Grading System: Letter Grades with option of Plus/Minus

STAT F605      Spatial Statistics
3 Credits

Offered Spring Even-numbered Years

Stochastic processes and variograms. Geostatistics including kriging and spatial design of experiments. Point processes including model selection and K-functions. Lattice process models and image analysis. Computer-intensive statistical methods.

Prerequisites: STAT F401; MATH F251X; MATH F252X; MATH F253X.

Lecture + Lab + Other: 3 + 0 + 0

Grading System: Letter Grades with option of Plus/Minus

STAT F611      Time Series
3 Credits

Offered Spring Odd-numbered Years

An applied course in time series and repeated measure analysis. Autoregression and moving average models. Estimation of parameters and tests. Prediction. Spectral analysis. Analysis of repeated measures data.

Prerequisites: STAT F401.

Lecture + Lab + Other: 3 + 0 + 0

Grading System: Letter Grades with option of Plus/Minus

STAT F621      Nonparametric Statistics and Machine Learning
3 Credits

Offered Fall Odd-numbered Years

A survey course in nonparametric statistical techniques. Distribution-free methods for small samples including sign, rank and randomization tests and bootstrapping. Modern techniques including kernel density estimation, survival analysis, spline regression and generalized additive models. Classification methods including regression trees, support vector machines and neural net models.

Prerequisites: STAT F401.

Lecture + Lab + Other: 3 + 0 + 0

Grading System: Letter Grades with option of Plus/Minus

STAT F631      Categorical Data Analysis
3 Credits

Offered Fall Odd-numbered Years

Statistical methods designed for count and categorical data. Contingency tables. Logistic and related models. Log-linear models. Repeated categorical responses. Survival data.

Prerequisites: STAT F401.

Lecture + Lab + Other: 3 + 0 + 0

Grading System: Letter Grades with option of Plus/Minus

STAT F641      Bayesian Statistics
3 Credits

Offered Fall Even-numbered Years

Bayes' Rule, Bayesian models for univariate data, prior selection (conjugate and non-conjugate, noninformative and objective priors). Single parameter and multiparameter models. Hierarchical, general linear and mixed models. Study of posterior simulation techniques including Markov chain Monte Carlo. Model validation and model selection. Emphasis on applications, using modern statistical software packages.

Prerequisites: MATH F252X; (MATH F371 and MATH F408) or STAT F651.

Lecture + Lab + Other: 3 + 0 + 0

Grading System: Letter Grades with option of Plus/Minus

STAT F651      Statistical Theory I
3 Credits

Offered Fall

Probability and distribution of random variables. Conditional probability and stochastic independence. Distributions of functions of random variables. Expected values. Limiting distributions. Distributions derived from the normal distribution. Designed to combine mathematical statistics with applications from a variety of fields.

Prerequisites: MATH F253X; MATH F314; previous statistics course.

Special Notes: Students from any field of study with strong quantitative skills are encouraged to enroll.

Lecture + Lab + Other: 3 + 0 + 0

Grading System: Letter Grades with option of Plus/Minus

STAT F652      Statistical Theory II
3 Credits

Offered Spring Odd-numbered Years

Data reduction concepts, including sufficiency, ancillarity, completeness. Point estimation and interval estimation of parameters. Bootstrapping. Hypothesis testing, including the Neyman-Pearson paradigm and likelihood ratio tests. Asymptotic properties of estimators. Bayesian inference. Designed to combine mathematical statistics with applications from a variety of fields.

Prerequisites: STAT F651.

Special Notes: Students from any field of study with strong quantitative skills are encouraged to enroll.

Lecture + Lab + Other: 3 + 0 + 0

Grading System: Letter Grades with option of Plus/Minus

STAT F653      Statistical Theory III: Linear Models
3 Credits

Offered Spring Even-numbered Years

Best linear unbiased estimation in the general linear model, Gauss-Markov theory and applications, maximum likelihood estimation for linear models, multivariate normal distributions, linear regression and analysis of variance, weighted regression, robust and nonlinear regression and generalized linear models. Designed to combine mathematical statistics with applications from a variety of fields.

Prerequisites: STAT F651 or MATH F371; MATH F253X; MATH F314.

Special Notes: STAT F401 or equivalent course in applied linear regression modeling is strongly recommended.

Lecture + Lab + Other: 3 + 0 + 0

Grading System: Letter Grades with option of Plus/Minus

STAT F654      Statistical Consulting Seminar
1 Credit

Offered Spring

Introduction to statistical consulting and data analysis. Emphasis on interaction with researchers and identification of scientific and statistical issues relevant to the research problem. Includes regular class meetings as well as supervised meetings with researchers. Designed to combine mathematical statistics with applications from a variety of fields.

Prerequisites: MATH F408; STAT F200X or STAT F300; STAT F401.

Stacked with STAT F454.

Special Notes: Students from any field of study with strong quantitative skills are encouraged to enroll.

Lecture + Lab + Other: 1 + 0 + 0

Grading System: Pass/Fail Grades

Repeatable for Credit: May be taken 3 times for up to 3 credits

STAT F661      Sampling Theory
3 Credits

Offered Fall

Statistical theory for sampling and sample surveys. Choice of method, power and sample size considerations, treatment of sampling and non-sampling biases. Sampling methods based on detectability. Adaptive sampling. Spatial sampling. Mark and recapture methods. The jackknife, the bootstrap and resampling plans.

Prerequisites: STAT F200X; STAT F401.

Lecture + Lab + Other: 3 + 0 + 0

Grading System: Letter Grades with option of Plus/Minus

STAT F671      Statistical Computing
3 Credits

Offered Spring Odd-numbered Years

Topics in statistical programming which may include Advanced R, program design, parallel processing, object oriented programming, functions, environments, debugging, loops and their replacements, C++ in R and code optimization. Optimizers, linear programming, random number generators including MCMC. Web applications. Writing R packages. Reproducible research. Text mining and relational databases.

Prerequisites: STAT F401; MATH F251X or MATH F230X; Knowledge of basic R highly recommended.

Lecture + Lab + Other: 3 + 0 + 0

Grading System: Letter Grades with option of Plus/Minus

STAT F692      Seminar
1-6 Credits

Lecture + Lab + Other: 0 + 0 + 0

Grading System: Letter Grades with option of Plus/Minus

Repeatable for Credit: May be taken unlimited times for up to 99 credits

STAT F692P      Seminar
1-6 Credits

Lecture + Lab + Other: 0 + 0 + 0

Grading System: Pass/Fail Grades

Repeatable for Credit: May be taken unlimited times for up to 99 credits

STAT F698      Non-thesis Research/Project
1-6 Credits

Lecture + Lab + Other: 0 + 0 + 0

Grading System: Pass/Fail Grades

Repeatable for Credit: May be taken unlimited times for up to 99 credits

Mathematics Faculty

Elizabeth Allman

Professor of Mathematics

Mathematical biology, computational algebra, algebraic statistics

esallman@alaska.edu
907-474-2479 
Chapman 308B
Troth Yeddha' Campus


Sergei Avdonin

Professor of Mathematics

Nonharmonic Fourier series, partial differential equations, control theory, inverse problems

s.avdonin@alaska.edu
907-474-5023 
Chapman 304A
Troth Yeddha' Campus


Leah Berman

Department Chair and Professor of Mathematics

Configurations and discrete geometry

lwberman@alaska.edu
907-474-7123
Chapman 102 
Troth Yeddha' Campus


Latrice Bowman

Term Associate Professor of Mathematics

Online learning, mastery-based mathematics, gateway math success

lnbowman@alaska.edu
907-474-5427 
Chapman 210B
Troth Yeddha' Campus


Ed Bueler

Professor of Mathematics

Numerical analysis and partial differential equations

elbueler@alaska.edu
907-474-7332
Chapman 306C
Troth Yeddha' Campus


Jill Faudree

Professor of Mathematics

Combinatorics and graph theory

jrfaudree@alaska.edu
907-474-7385 
Chapman 306B
Troth Yeddha' Campus


John Gimbel

Professor of Mathematics

Graph theory, combinatorics, order

jggimbel@alaska.edu
907-474-6102 
Chapman 304C
Troth Yeddha' Campus


James Gossell

Term Assistant Professor of Mathematics

Combinatorics and commutative algebra

jegossell@alaska.edu
907-474-2767 
Chapman 301D
Troth Yeddha' Campus


David Maxwell

Professor of Mathematics

Partial differential equations, geometric analysis, mathematical physics

damaxwell@alaska.edu
907-474-1196 
Chapman 308C
Troth Yeddha' Campus


John Rhodes

Professor of Mathematics

Mathematical biology and algebraic statistics

j.rhodes@alaska.edu
907-474-5445 
Chapman 208B
Troth Yeddha' Campus


Tony Rickard

Professor of Mathematics Education

Problem-solving, curriculum development, multicultural and rural education

adrickard@alaska.edu
907-474-5374 
Chapman 301B
Troth Yeddha' Campus


Alexei Rybkin

Professor of Mathematics

Completely integrable partial differential equations and nonlinear water wave systems

arybkin@alaska.edu
907-474-6002 
Chapman 304B
Troth Yeddha' Campus


Gordon Williams

Professor of Mathematics

Discrete geometry, especially abstract polytopes, convex polytopes and tilings

giwilliams@alaska.edu
907-474-2756 
Chapman 306D
Troth Yeddha' Campus


Statistics Faculty

Ron Barry

Professor of Statistics

Experimental design and spatial statistics

rpbarry@alaska.edu
907-474-7226 
Chapman 201C
Troth Yeddha' Campus


Scott Goddard

Associate Professor of Statistics

Bayesian testing and variable selection

sdgoddard@alaska.edu
907-474-5514 
Chapman 201E
Troth Yeddha' Campus


Julie McIntyre

Professor of Statistics

Measurement error models and nonparametric statistics

jpmcintyre@alaska.edu
907-474-7772 
Chapman 201D
Troth Yeddha' Campus


Margaret Short

Associate Professor of Statistics

Bayesian spatial and spatio-temporal statistical modeling

mshort18@alaska.edu
907-474-5249 
Chapman 201B
Troth Yeddha' Campus