COLLEGE OF ARTS AND SCIENCES Department of Mathematics and Statistics
Student studies at MLC

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Study Mathematics and Statistics

Undergraduate Majors

The study of mathematics can serve as the foundation for many careers, such as actuarial, teacher, financial analyst, data scientist, game designer, or animator.

Undergraduate majors have exciting opportunities. These include conducting research and computer analysis, as well as pursuing special studies with highly regarded faculty members. Students have the opportunity to participate in industry internships and competitive research programs in the United States and abroad. A student may earn a stipend as an undergraduate teaching assistant by tutoring, grading papers, or leading tutorial sessions for introductory level math classes.

Undergraduate Minors

You may earn a minor in mathematics or statistics. Students majoring in agriculture, engineering, biology, business, computer science, chemistry, economic sciences, physics, or other majors, may find that earning a minor in either mathematics or statistics requires only one or two additional courses. Click here to learn more about obtaining a minor in mathematics.

Graduate Studies

Graduate students study with graduate faculty who are on the forefront of research in areas of current global interest such as: mathematical modeling in population genetics, muscle physiology, and biomolecular systems; optimization problems on high performance computing environments; partial differential equations in control theory, swimming phenomenon, materials research, microwave heating and inverse problems; geometric analysis with a parallel focus on applications to data modeling and analysis; statistics related to bioinformatics and large data, multiple comparisons, experimental design, linear models, change-point problems, quality control, engineering reliability and risk analysis; probability including martingale methods, stochastic differential equations, stochastic simulation, and extreme value theory; matrix algebra including both computational and theoretical analyses; mathematics education research associated with teacher preparation, use of technology, and culturally relevant pedagogy; discrete mathematics that includes cryptography, combinatorics, and number theory; and environmental mathematics such as contaminant transport in groundwater, population ecology, and predator-prey problems. Graduate students participate in graduate seminars and undertake collaborative and cross-disciplinary research.

Middle Level Mathematics Endorsement

A partnership was formed in 2010 between the Mathematics Department and the Teaching and Learning Department to provide classes for a Middle Level Mathematics Endorsement in teaching. The endorsement has five classes to add to a secondary or elementary certificate, and is designed for both in-service and pre-service teachers. For more information please visit our Math Education page.

Recent Faculty and Graduate Student Authored Books

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Core-Chasing Algorithms for the Eigenvalue Problem

- by Jared L. Aurentz, Thomas Mach, Leonardo Robol, Raf Vandebril, and David S. Watkins
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Comprehensive Applied Mathematical Modeling in the Natural and Engineering Sciences

- by David J. Wollkind and Bonni J. Dichone
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Mobile point sensors and actuators in the controllability theory of partial differential equations

- by Alex Khapalov
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Linear Algebra and Its Applications - 5th Edition

- by David C. Lay, Steven R. Lay, and Judi J. McDonald
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A Friendly Introduction to Differential Equations

- by Mohammed Kaabar
A First Course in Linear Algebra: Study Guide for Undergraduate Linear Algebra Course

- by Mohammed Kaabar
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Combinatorial Reasoning: An Introduction to the Art of Counting

- by Duane W. DeTemple and William Webb
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Mathematical Reasoning for Elementary Teachers, 7th Edition

- by Calvin T. Long, Duane W. DeTemple, and Richard S. Millman
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Fundamentals of Matrix Computations, 3rd Edition

- by David S. Watkins
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Controllability of Partial Differential Equations Governed by Multiplicative Controls

- by Alex Khapalov

For more information about these books and to read about other recently published books click here.

New Grants Awarded

Voulgarakis, Nikolaos (sole PI). $274,756: Modeling DNA Allostery and Its Effect on Gene Compaction and Regulation. NSF. 7/15/20 - 06/30/23

Paxton, Laramie, Moore, Charles with Justin Marks and Viktoria Taroudaki, $20,520. Data Science and Image Analysis Conference of the Pacific Northwest. NSF. 4/1/2019 - 3/31/2020. Conference to be held on WSU Pullman campus 2/29/20 - 3/1/20. Click here for conference information.

McDonald, Judi and Tsatsomeros, Michael, with Sivakumar, K.C., Indian Institute of Technology - Madras. $100,000. SPARC grant awarded by the government of India to support visits to IIT and WSU by investigators, the exchange of two graduate students per institution for one semester and the organization of workshops. 2019-2020.

Manoranjan, V.S. (PI) $40,000. Encouraging Excellence in Space-Related Science, NASA/University of Washington. 8/15/18

Dimitrov, Alex $4,200 portion of a $750,000 consortium grant with ESD112 and Clark Community College. ESD112 nPower Girls project, ESD #112. 8/15/18-8/31/18.

Krishnamoorthy, Bala (sole PI). $200,000. RUI: Robust Feasibility and Robust Optimization using Algebraic Topology and Convex Analysis. NSF. 8/1/18 - 7/31/21.

Dasgupta, Nairanjana (Jan) (Co-PI). $703,103. Bandyopadhyay, Amit (PI) (WSU School of Mechanical and Materials Engineering), Susmita Bose (Co-PI) and Scott Dernell (Co-PI). 3D Printed Surface Modified Porous Metal Coatings for Load-bearing Implants. NIH. 8/3/17-8/5/20.

Dasgupta, Nairanjana (Jan) (Co-PI) $10,000, Ali Mehrizi-Sani (PI), and Vaithianath (Mani) Venkatasubramanian (Co-PI) ESIC (Energy Systems Innovation Center). 8/16/17-8/15/18.

Krishnamoorthy, Bala (Co-PI, WSU Vancouver Math), Ananth Kalyanaraman (PI, WSU Pullman EECS), and Zhiwu Zhang (Co-PI, WSU Pullman Crop and Soil Sciences). Budget: $761,428 (WSU total), $269,091 (WSU Vancouver Math), with a total budget of $1.25 million, including Iowa State University and the University of Utah. Collaborative Research: ABI Innovation: A Scalable Framework for Visual Exploration and Hypotheses Extraction of Phenomics Data using Topological Analytics. External collaborators: Patrick Schnable (Iowa State University), and Bei Wang (University of Utah).
NSF. 8/17-7/20.

Dasgupta, Jan (Co-PI), Bandyopadhyay, Amit (PI)(WSU School of Mechanical and Materials Engineering). $1,809,628. 3D Printed Surface Modified Porous Metal Coatings for Load-bearing Implants. NIH. 1/1/2015 – 12/31/2019.

Khapalov, Alex Modeling, wellposedness and control for swimming phenomenon (collaborative research between WSU and the University of Rome ``Tor Vergata’’), PI, Simons Foundation, 10/1/14-9/30/19, $35,000.

For information on more faculty funded grants click here.