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…

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…
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Upcoming events

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