Upcoming events

Last day to cancel full semester classes and not receive a "W"

The last day to cancel full semester classes and not receive a "W" is Monday, September 20. This is also the last day to receive a 75% tuition refund for canceling full semester classes.

In addition, this is the last day to add classes without college approval and to change grade basis (A-F or S/N) for full semester classes.

View the full academic schedule on One Stop.
 

Fall 2021 College of Science and Engineering Virtual Career Fair

Tuesday, September 21 and Wednesday, September 22, 2021
Noon - 6 p.m. each day
The fair will be held via Handshake

View the day one list of companies recruiting and the day two list of companies recruiting now and begin signing up for time slots to speak individually with companies beginning September 14, 2021 at 8:00 a.m.

Visit the Career Information for Students webpage for more information!

For questions, contact the CSE Career Center at csecareer@umn.edu or by calling 612-624-4090.
 

IMA Data Science Seminar: Handling model uncertainties via informative Goodness-of-Fit

The Institute for Mathematics and Its Applications (IMA) Data Science Seminars are a forum for data scientists of IMA academic and industrial partners to discuss and learn about recent developments in the broad area of data science. The seminars take place on Tuesdays from 1:25 p.m. - 2:25 p.m.

This week's speaker, Sara Algeri (University of Minnesota), will be giving a talk titled "Handling model uncertainties via informative Goodness-of-Fit."

Abstract

When searching for signals of new astrophysical phenomena, astrophysicists have to account for several sources of non-random uncertainties which can dramatically compromise the sensitivity of the experiment under study. Among these, model uncertainty arising from background mismodeling is particularly dangerous and can easily lead to highly misleading results. Specifically, overestimating the background distribution in the signal region increases the chances of falsely rejecting the hypothesis that the new source is present. Conversely, underestimating the background outside the signal region leads to an artificially enhanced sensitivity and a higher likelihood of claiming a false discovery. The aim of this work is to provide a self-contained framework to perform modeling, estimation, and inference under background mismodeling. The method proposed allows incorporating the (partial) scientific knowledge available on the background distribution, and provides a data-updated version of it in a purely nonparametric fashion, and thus, without requiring the specification of prior distributions. If a calibration (or control regions) is available, the solution discussed does not require the specification of a model for the signal, however when available, it allows to further improve the accuracy of the analysis and to detect additional and unexpected signal sources.

Biography

Sara Algeri has been an Assistant Professor in the School of Statistics at the University of Minnesota since August 2018. Her appointment at UMN started soon after completing her doctoral studies in statistics at Imperial College London (UK). Her research interests mainly lie in astrostatistics, computational statistics, and statistical inference. The main purpose of her work is to provide generalizable statistical solutions which directly address fundamental scientific questions, and can at the same time be easily applied to any other scientific problem following a similar statistical paradigm. In line with this, motivated by the problem of the detection of particle dark matter, her current research focuses on statistical inference for signal detection under lack of regularity. She is also interested in uncertainty quantification in the context of astrophysical discoveries.

Last day to apply for fall undergraduate graduation

The last day to apply for fall undergraduate graduation is Tuesday, September 21.

View the full academic schedule on One Stop.
 

Fall 2021 College of Science and Engineering Virtual Career Fair

Tuesday, September 21 and Wednesday, September 22, 2021
Noon - 6 p.m. each day
The fair will be held via Handshake

View the day one list of companies recruiting and the day two list of companies recruiting now and begin signing up for time slots to speak individually with companies beginning September 14, 2021 at 8:00 a.m.

Visit the Career Information for Students webpage for more information!

For questions, contact the CSE Career Center at csecareer@umn.edu or by calling 612-624-4090.
 

UMN Machine Learning Seminar

The UMN Machine Learning Seminar Series brings together faculty, students, and local industrial partners who are interested in the theoretical, computational, and applied aspects of machine learning, to pose problems, exchange ideas, and foster collaborations. The talks are every Thursday from 12 p.m. - 1 p.m. during the Fall 2021 semester.

This week's speaker is Mikhail Belkin (University of California San Diego).

Abstract

Coming soon

Biography

Coming soon

Industrial Problems Seminar

In collaboration with the Minnesota Center for Industrial Mathematics, the Industrial Problems Seminars are a forum for industrial researchers to offer a first-hand glimpse into industrial research. The seminars take place Fridays from 1:25 p.m. - 2:25 p.m.

This week's speaker is Nicolae Tecu (Fannie Mae).

Last day to receive a 50% tuition refund for canceling full semester classes

The last day to receive a 50% tuition refund for canceling full semester classes is Monday, September 27.

View the full academic schedule on One Stop.
 

IMA Data Science Seminar

The Institute for Mathematics and Its Applications (IMA) Data Science Seminars are a forum for data scientists of IMA academic and industrial partners to discuss and learn about recent developments in the broad area of data science. The seminars take place on Tuesdays from 1:25 p.m. - 2:25 p.m.

This week's speaker is Boris Landa (Yale University).

UMN Machine Learning Seminar

The UMN Machine Learning Seminar Series brings together faculty, students, and local industrial partners who are interested in the theoretical, computational, and applied aspects of machine learning, to pose problems, exchange ideas, and foster collaborations. The talks are every Thursday from 12 p.m. - 1 p.m. during the Fall 2021 semester.

This week's speaker is Salman Avestimehr (University of Southern California).

Abstract

Coming soon

Biography

Coming soon

The University of Minnesota and the greater Twin Cities area hosts many activities related to data science in a wide variety of specializations. Visit the following sites for more information on these activities.