Fariborz Maseeh Department of Mathematics + Statistics

$2019 photo of Math Stat Dept Faculty$

About the Department

$Prof. Bruno Jedynak with doctoral student Tuyen Tran$

About the Department

The Fariborz Maseeh Department of Mathematics + Statistics is composed of 33 faculty and an average of 36 graduate teaching and research assistants and 16 adjuncts. For Spring term 2020, 493 undergraduates, 30 post bacs, and 121 graduates were enrolled in our programs.

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Graduate Programs

We offer the following graduate programs: PhD Mathematical Sciences, PhD Mathematics Education, MA/MS Mathematics, MS Statistics, MS Mathematics for Teachers, Graduate Certificate in Applied Statistics, Graduate Certificate in Mathematics for Middle School Mathematics Teachers.

How to apply

Research

The department has active research areas in mathematics, statistics, and mathematics education. Faculty have earned several prestigious research grants from Oregon Departments of Education, Transportation, Fish and Wildlife, Intel, OHSU, and the National Science Foundation

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Math Placement

The math placement test uses adaptive questioning to quickly and accurately determine exactly what you know, don't know and are ready to learn. Some introductory courses in mathematics, statistics, chemistry, physics, and engineering use the math placement test for registration purposes.

Take the math placement test

Undergraduate Programs

Earn a bachelor's degree in mathematics or data science. We also offer two minors: a Minor in Mathematics and a Minor in Mathematics for Middle School Teachers. Outstanding students may also apply for an Honors Track in Mathematics and Statistics.

How to apply

Remote Service Due to Covid-19

The department is fully remote at this time. Operating hours are Monday through Friday, regular business hours. You can reach us in the following ways . . .

Virtual Front Desk

Our virtual front desk uses the Zoom video conferencing tool. Zoom is available externally to all users at pdx.zoom.us. If you don’t have a laptop or desktop computer, you can use Zoom on your mobile device to join either session.

Choose a time to access the virtual front desk by clicking on a Zoom meeting link below:

with Constance:
9:30-10:30AM
2:00-3:00PM

with Kathie:
10:30-11:30AM
1:00-2:00PM

Email

(Students: please include your PSU ID number in all communication)
Undergraduate Advising Questions: mathstatadvising@pdx.edu
Math Placement Test Questions: mathplacement@pdx.edu
Course/class Instruction Questions: Please email the instructor directly. Instructor email links are listed as part of the course information in the Course Schedule as well as in our Department Directory.
Graduate Advising Questions: Please email the Graduate Program Adviser
Graduate Admissions/Application Questions: mathstatgrad@pdx.edu
Other questions: mthdept@pdx.edu

Phone

Main department line: 503-725-3621 (Voicemail checked on a regular basis)
All phone numbers for department employees are listed in our Department Directory.

$Dr. Dorcas Ofori-Boateng$

Introducing our newest faculty - Dr. Dorcas Ofori-Boateng

Dr. Dorcas Ofori-Boateng joins the Mathematics + Statistics Department as Assistant Professor of Data Science. She will be part of the new Bachelor of Science in Data Science program starting in Fall 2020. Dr. Ofori-Boateng recently defended her dissertation at the University of Texas at Dallas.

Mathematics Professor Dr. Steven Bleiler explains the odds of winning…

by Kathie Leck |January 19, 2021

Koin 6 News interviewed PSU Mathematics Professor Steven Bleiler regarding the odds of winning the Mega Millions or Powerball jackpot. See the full interview on the Koin 6…

Upcoming events

March 8

Helen Huston - Statistics 501 Presentation

Helen Huston will give a talk on the following statistical literature and problems project in partial fulfillment of requirements for the Master of…

Add to my Calendar 2021-03-08 23:00:00 2021-03-04 08:03:55 Helen Huston - Statistics 501 Presentation Helen Huston will give a talk on the following statistical literature and problems project in partial fulfillment of requirements for the Master of Science in Statistics “Bayesian Item Response Theory Modeling” Abstract: Anomia, or word finding difficulty, is a primary diagnostic feature of stroke-induced aphasia, a language disorder resulting from damage to the speech centers of the brain. The cognitive processes that are typically impaired reflect a patient’s ability to correctly name objects. Naming deficits often persist after other symptoms subside while naming accuracy is a good indicator of overall severity. Item response theory uses statistical modeling to make inferences about underlying latent traits like naming ability on the basis of observed patterns of behaviors. The data used must meet strong assumptions to ensure model validity. In 2015, Dr. Fergadiotis, Dr. Kellough and Dr. Hula used item response theory to model the Philadelphia Naming Test within a frequentist framework. We refit these models within a Bayesian framework in STAN and analyzed their performance. Follow-up analysis used posterior predictive model checking methods to assess model assumptions. This talk focuses on the methodology used to build the STAN models, the tools available to assess overall model performance, and the tenability of the three key item response theory assumptions. Keywords: Aphasia, Philadelphia Naming Test, probabilistic program, STAN, Bayesian inference, identifiability, posterior predictive model checking. Under the direction of Dr. Daniel Taylor Rodriguez Time: Mar 8, 2021 03:00 PM Pacific Time (US and Canada) Join Zoom Meetinghttps://pdx.zoom.us/j/88497515804 Meeting ID: 884 9751 5804, Password: 219789 Join Zoom Meeting https://pdx.zoom.us/j/88497515804 Kathie Leck, Fariborz Maseeh Department of Mathematics + Statistics, mathstatgrad@pdx.edu Kathie Leck, Fariborz Maseeh Department of Mathematics + Statistics, mathstatgrad@pdx.edu America/Los_Angeles public