Student Seminar

12:00 - 12:50 PM, Wednesday, April 24, Gildemeister 155

Refreshments served beforehand Gildemeister 135. 

 

Spectral Graph Theory

Conager Mrozek

Spectral Graph Theory studies graphs via their associated matrices and eigenvalues. I will show the usefulness of this approach in analyzing large networks and search algorithms.



    Academic Cheating Behaviors of Nursing Students   

Yulun Xu

My research project compares two different studies on academic cheating behaviors of nursing students and how they associate with different characteristics such as social desirability and measures to minimize cheating.

Department Seminar

12:00 - 12:50 PM, Wednesday, March 20, Gildemeister 155

Refreshments served beforehand Gildemeister 135. 

Picking your NCAA Bracket with Linear Algebra  

Dr. Aaron Wangberg
Winona State University

Abstract: How do you pick your NCAA Bracket? Do you value home wins, early season games, and blowouts against Division II and III foes? Or is it better to base everything on the last five games of the season? Bring your computer to fill out your NCAA Bracket and hear the math that has helped WSU Linear Algebra students finish in the top 10% of ESPN's Bracket Challenge.


Department Colloquium

12:00 - 12:50 PM, Wednesday, March 6, Gildemeister 155

Refreshments served beforehand Gildemeister 135. 

Squigonometry

Dr. Bill Wood

University of Northern Iowa

The trigonometric functions cosine and sine report the coordinates of a point on the unit circle at a given angle. The circle and its associated functions have perfect symmetry, which we will study by seeing what happens when we break it. The Euclidean unit circle has equation x^2+y^2=1, but we will change the 2's to p's in the distance function and study the curve with equation |x|^p+|y|^p=1. As p gets larger, the circle flattens out and looks more and more like a square; we thus call these curves "squircles." We will look at the analogues of the trigonometric functions in this family of geometries, called p-norms, and explore some interesting connections to special functions, calculus, and number theory.


Distinguished Lecture Series


Session 1
Sunday Feb 24, 3 pm, Stark 103
Visualization for Effective
Communication

Scientists usually believe that good and clear design consists just of “beautifying” their charts, graphs, and maps. This should be an afterthought, as what truly matters is to “show the data”. This session explains why reasoning about design decisions is as important as reasoning about the data we present to audiences.

Session 2
Sunday Feb 24, 7 pm, Stark 103
How Charts Lie: Getting Smarter
About Visual Information

Graphic designers, data analysts, and journalists are taught that “a picture is worth a thousand words”, that we should “show don’t tell”, and that charts are “intuitive” and useful to “simplify” information. This talk explains why these myths, if taken at face value, are wrong and dangerous, and what we can do to become better readers and designers of graphics.

Session 3
Monday Feb 25, 12pm, Gild 155
Engagement and Future Trends
in Data Communication

Visualization is a language in constant evolution. This session will focus on how designers of visualization can make their graphics more attractive and engaging, and on several potential futures of data communication.


Department Colloquium

12:00 - 12:50 PM, Wednesday, February 6, SLC 120

Applying Data Analysis

in the Business World  

Rick Fredrickson

Supply Chain Lead, Fastenal Company

Come hear from WSU mathematics alumnus Rick Fredrickson how his Supply Chain team is applying data analysis in the business world to drive customer service levels, manage $1.28 billion dollars in inventory investments, and optimize operational efficiencies. What are the key numbers behind the scenes that allow these business goals to merge together? Learn about opportunities to put your mathematics, statistics, or data science degree to work with a publicly-held, international company.


Data Visualization Expo


Students in the DSCI 310 class have created a variety of visualization throughout the semester.  This exposition will allow the public to see a culmination of their abilities to visualize and tell a story with data.  For their final projects, students worked with the College Scorecard dataset which is published by the U.S. Department of Education.  This dataset provides a substantial amount of information about higher education institutions across the United States.  Students selected particular themes, e.g. Diversity, Family Support, Admissions, Student Load Debt and will showcase how Winona State University compares to other higher education institutions.