Department of Mathematics and Statistics, Loyola University Maryland

Seminars

These seminars are forums for (but not limited to) talks from visiting faculty as well as from the Loyola Mathematics and Statistics faculty. The talks are about 45 minutes, followed by a 10-15 minute discussion, and are geared for nonspecialist faculty and junior-senior level math majors (knowledge of at least linear algebra and differential equations is assumed). Anyone is welcome to attend. Refreshments will be provided 10 minutes before and after the talk.

If you would like to speak in the seminar or have any questions, please contact Dr. Dipa Sarkar-Dey by emailing dsarkardey "at" loyola "dot" edu

View list of previous seminars

2018-2019 Schedule

(in reverse chronological order)

When and Where
Speaker
Title
Apr 24, 3:00-4:00175 Donnelly Science Hall
Zachary Pisano '16The Johns Hopkins University
An Introduction to the EM-AlgorithmView abstract
Mar 27, 3:00-4:00175 Donnelly Science Hall
Drs. Ethan Duckworth and Lisa Oberbroeckling Loyola University Maryland
Tips and Tricks of Designing and Teaching an Online Math ClassView abstract
Feb 27, 3:00-4:00175 Donnelly Science Hall
Dr. Scott BruceGeorge Mason University
Empirical Frequency Band Analysis of Nonstationary Time Series View abstract
Jan 30, 3:00-4:00175 Donnelly Science Hall
Dr. Michael KnappLoyola Univeristy Maryland
Values of the Davenport-Lewis \(\Gamma^*\)-FunctionView abstract
Nov 28, 3:00-4:00309 Knott Hall
Dr. Lisa Schneider ('10)Salisbury University
Understanding a Family of Representations of a Lie Algebra with Partitions, Graphs, and RecursionView abstract
Nov 12, 3:00-4:00309 Knott Hall
Dr. Alyson Fox ('12)Lawrence Livermore National Laboratory
Error Analysis of ZFP Compression for Floating-Point DataView abstract
Oct 24, 3:00-4:00309 Knott Hall
Dr. Yehenew KifleUMBC
Modeling the effect of distance from a hydroelectric dam on time to malaria: distance confounded with the clustering structureView abstract
Sept 26, 3:00-4:00309 Knott Hall
Dr. Chris MorrellLoyola University Maryland
Estimating Subject-Specific Rates of Change from Longitudinal Data View abstract

Johns Hopkins Department of Applied Mathematics & Statistics Seminar Information

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