2014-2015 Graduate Catalog [ARCHIVED CATALOG]
Mathematical and Statistical Sciences
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Return to: College of Liberal Arts and Sciences
Chair: Michael S. Jacobson
Associate Chair: Stephen Billups
Program Assistant: Margie Bopp
Administrative Assistant: Mikaela Hanson
Office: CU-Denver Building, 600
Telephone: 303-315-1700
Fax: 303-315-1704
Website: math.ucdenver.edu/
Please click on any of the following to go right to that information:
Faculty
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Professors: |
Michael S. Jacobson, PhD, Emory University |
Weldon A. Lodwick, PhD, Oregon State University |
Jan Mandel, PhD (equivalent), Charles University (Czechoslovakia) |
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Associate Professors: |
Lynn Bennethum, PhD, Purdue University |
Stephen Billups, PhD, University of Wisconsin-Madison |
Roxanne M. Byrne, PhD, University of Colorado |
Michael Ferrara, PhD, Emory University |
Julien Langou, PhD, INSA, Toulouse, France |
Anatolii Puhalskii, PhD, Moscow Institute of Physics and Technology |
Stephanie A. Santorico, PhD, North Carolina State University |
Burton Simon, PhD, University of Michigan, Ann Arbor |
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Assistant Professors: |
Troy Butler PhD, Colorado State University |
Alexander Engau, PhD, Clemson University |
Joshua French, PhD, Colorado State University |
Audrey Hendricks, PhD, Boston University |
Florian Pfender, PhD, Emory University |
Diana White, PhD, University of Nebraska |
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Assistant Professors Clinical Teaching Track: |
RaKissa Cribari, EdD, University of Northern Colorado |
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Instructors: |
Meaghan Cheeke, MA, University of Northern Colorado |
Michael Kawai, MS, University of Colorado |
Lance Lana, MS, University of Colorado |
Gary Olson, MS, University of Colorado |
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Research Faculty: |
Loren Cobb, PhD, Cornell University |
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Visiting Faculty: |
Henricus Bouwmeester, PhD, University of Colorado Denver |
Michael McCourt, PhD, Cornell University |
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Emeritus Faculty: |
William Briggs, PhD, Harvard University |
William E. Cherowitzo, PhD, Columbia University |
Kathryn L. Fraughnaugh, PhD, University of Houston |
Harvey J. Greenberg, PhD, Johns Hopkins University |
Sylvia Lu, PhD, Pennsylvania State University |
J. Richard Lundgren, PhD, Ohio State University |
Roland Sweet, PhD, Purdue University |
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The Department of Mathematical and Statistical Sciences offers courses and research opportunities with an emphasis on applied and computational mathematics. Traditional courses such as calculus, linear algebra, probability, statistics and discrete mathematics are offered regularly by the department. In addition, contemporary subjects such as continuous, probabilistic, optimization and discrete modeling; supercomputing; numerical analysis; optimization; and operations research are also well represented by course offerings and faculty interests. In all of its activities, the department embodies the outlook that mathematics is a powerful tool that can be used to solve problems of immediate and practical importance.
The study of mathematics with an emphasis on computers and applications can prepare students for careers in engineering, the sciences, business and management, actuarial science, public health and all computer-dependent disciplines.
Center for Computational & Mathematical Biology
Director: Weldon Lodwick
Telephone: 303-315-1733
Website: http://ccmb.ucdenver.edu/
The Center for Computational Biology (CCB) is a multidisciplinary center focused on computational and mathematical biology research and education.
Center for Computational Mathematics
Director: Julien Langou
Telephone: 303-315-1736
Website: http://ccm.ucdenver.edu
The Center for Computational Mathematics is composed of faculty members who have an interest in computational mathematics, the study of solving mathematical problems with computers. The center resides in the Department of Mathematical and Statistical Sciences and includes faculty members from various other departments. The primary goal of the center is to foster research in computational mathematics and to maintain a strong educational program at all levels. It has extensive ties with industry along the Front Range and with government laboratories throughout the nation. It offers students an excellent opportunity to receive training and experience in this exciting new field. The center operates several supercomputing clusters.
Math Clinic
Website: http://www.ucdenver.edu/academics/colleges/CLAS/Departments/math/Research/mathclinic/Pages/ClinicConcept.aspx
Each semester, the mathematical and statistical sciences department conducts math clinics that are open to both undergraduate and graduate students. Each clinic is sponsored by a business, government agency or research organization. The clinic sponsor provides a specific project on which students work with the supervision of a faculty member and a sponsor representative. Every clinic results in a final report to the sponsor and provides participating students with an opportunity to apply mathematics to relevant problems. Recent math clinic sponsors include Raytheon, Lockheed Martin, Xenometrix, Budget Truck Rental and United Launch Alliance.
Statistical Consulting Service
The Department of Mathematical and Statistical Sciences regularly offers a graduate course in statistical consulting in which students work on problems provided by researchers and clients at CU Denver and in the Denver metropolitan area. Potential clients should contact Loren Cobb at stats@math.ucdenver.edu or 303-315-1739.
Graduate Program
Director: Michael Ferrara
Telephone: 303-315-1705
The Department of Mathematical and Statistical Sciences offers the MS degree in applied mathematics and the PhD degree in applied mathematics. Each of these degree programs conforms to the rules and policies of the Graduate School .
Detailed descriptions of the requirements for the MS and PhD degrees are maintained at www.math.ucdenver.edu . The following is an abbreviated summary of these requirements.
Requirements for Admission
To begin graduate work toward the MS or PhD degrees, a student should have at least the following preparation: 30 semester hours of mathematics with each course grade at B- or better and an overall GPA of 3.0 or better, at least 24 of which are upper-division courses. These courses should include a full year of advanced calculus or introduction to analysis, one semester of linear algebra and one semester of either differential equations, abstract algebra, discrete mathematics or probability. Additionally, students should take the GRE exam.
Students who do not have all the prerequisites may be admitted with prerequisite deficiencies with the understanding that those deficiencies must be removed after admission. Students who have a cumulative undergraduate GPA that is less than 3.0 may be eligible for provisional admission to the master’s program (see also the Graduate School admission requirements).
Application Deadlines
Applications to the MS or PhD program should be submitted by the following target dates to be guaranteed full consideration. International students should submit their applications one month prior to these target dates.
Target Dates for PhD Program |
Target Dates for MS Program |
Feb 1: fall or summer semester
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Apr 1: fall or summer semester
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Oct 1: spring semester
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Nov 1: spring semester
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Applications received after the target dates may still be considered for admission, depending on space availability.
Financial Support
PhD students and exceptionally strong MS students are encouraged to apply for teaching assistantships. A variety of other opportunities for financial support are also available.
Click here to learn about the requirements for the MS in Applied Mathematics.
Click here to learn about the requirements for the PhD in Applied Mathematics.
Applied Statistics Certificate
Director: Stephanie Santorico
Telephone: 303-556-2547
Website: www.math.ucdenver.edu
Click here to learn about the requirements for the Graduate Certificate in Applied Statistics.
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