Monday, November 13, 2017

Math Ed Question and Answer Session

12:00 - 12:50 PM, Wednesday, November 15, Gildemeister 329


Refreshments will be provided from 11:30 to 12:00 in Gild 319


Amber Mlynczak
8th grade Math Teacher,
Winona Middle School
WEA Teacher of the Year
Scott Mlynczak
5th grade Math Teacher,
Winona Middle School
WSU Alumnus
Two representatives from the Winona Middle School will share their experiences in the teaching profession.  This informal question and answer session will also provide the opportunity for audience members to ask questions about the student teaching experience and the job application process.

Thursday, November 9, 2017

MinneMUDAC 2017 was a success!

This last weekend, 6 teams from Winona State competed in MinneMUDAC 2017. MinneMUDAC is an annual competition that pits students against a formidable data set and analytics problem.  Teams are given one month to work with the data before the day of the competition and then travel to the Twin Cities to present their findings to teams of judges.  All but one of our teams competed in the undergraduate division (against 19 other teams) and one team competed in the novice division (against 22 other novice teams).

WSU students participating in MinneMUDAC 2017
The WSU students from all teams showed an impressive dedication to tackling this challenge, attending 2 meetings a week and spending a considerable amount of time preparing for the day of presentations.  This dedication paid off!  We had three teams in the top 5 in the undergraduate competition.  Furthermore, four teams were singled out for various awards, listed below.

First Place Overall - Undergraduate Division
Sam Meyers, Sam Dokkebakken, Eddie Schmit, Austin Ellingworth, and Jack Barta

Acumen Award - Undergraduate Division
Reagan Buske, Chris Humbert, Mariah Quam, David Stampley Jr., and McHale Dye

Honorable Mention - Undergraduate Division
Kapil Khanal, William Diedrick, Akif Khan, Jimmy Hickey, and Sean Wittenberg

Best Prediction - Undergraduate Division
The MIS team had the best prediction out of all teams not in the top 5.

Also, while not in the top 5 teams, the other two teams performed well and multiple positive comments were heard on the presentations of both teams.

Thanks to Todd Iverson, Silas Bergen, Brant Deppa, and Chris Malone for helping prepare our students for the competition through biweekly meetings.

Monday, November 6, 2017

Student Seminar

12:00 - 12:50 PM, Wednesday, November 8, Gildemeister 155

Refreshments served beforehand Gildemeister 135. 

 

Internship at Fastenal: Supply Chain Analyst

Will Wermager 

Starting in June of 2017, I took a position with Fastenal as a Supply Chain Analyst. This job experience has provided me with a lot of insight into the professional environment and the importance of accurate data and reporting. There is a significant amount of work that must first go into preparing data before it is ready for analysis. Come learn about my experience!


  Summer Internship in GP Industry Investment Fund  

Fengrui Xue 

 

I’ll talk about what an employee in a “PE” (Private Equity) fund does and my meetings with corporations such as JKOM Cloud Health Technology Company to discuss their needs for C-round financing.

Sunday, November 5, 2017

Winona State wins PME "Face Off!"


"Face Off" is an annual Math Competition/Game Show that takes place at the Pi Mu Epsilon Undergraduate Mathematics Conference in De Pere, WI. Congrats to Brad, Gabe, Nick, and Mike for winning this year's championship!

Monday, October 30, 2017

Student Seminar

12:00 - 12:50 PM, Wednesday, November 1, Gildemeister 155

Refreshments served beforehand Gildemeister 135. 

 

Trucking through the Data

McHale Dye 

This past summer I had an internship at Dart Transit Company, a national trucking business here in Minnesota.  At Dart I participated in the BI and Data analytics team where we were given various projects of analyzation to help better the company as a whole.  I will be talking about one of these projects, which mainly focused on the prediction of profitability of a given hour in a driver’s day.


  Valuing Forecast Accuracy 

Chris Humbert 

 

This summer I was an Analytics Intern at John Deere. My main project focused on the importance of forecast accuracy, more specifically what is impacted when a forecast is x% more or less accurate. Application of my project was creating an RShiny app to quantify a dollar cost by how accurately we forecasted.

Monday, October 16, 2017

Department Seminar

12:45 - 1:45 PM, Thursday, October 19, Gildemeister 329

Light lunch served from 12:15-12:45PM in Department Conference Room (Gild 320)  

Being Awesome in Today’s Workplace  

Brian Hackerson
3M
WSU Alumnus

The rate of change in business today is not slowing down, and as a result the skills necessary to thrive are evolving around us. Being a math major today brings opportunities not in existence even ten years ago, and will probably fuel professions not even known today. The talk will not only cover today’s opportunities for math majors, but will reveal some insights from within a large global corporation on what it takes for awesomeness at work.


Brian is a senior technology leader focused on delivering software and data solutions, working for many large companies over his 29 year career. Upon joining the SEMS (Software Electronic and Mechanical Systems) Lab at 3M in 2006, Brian became interested in Agile methodologies while driving multiple division software and systems programs, both from commercialization and corporate research perspectives. In 2017, Brian was named to lead the Scrum activities in the SEMS Corporate Research Lab to drive speed and quality of execution promoting new business growth. Brian graduated from Winona State University in 1988 with a BS in Mathematics.

Friday, September 29, 2017

Department Colloquium

12:00 - 12:50 PM, Wednesday, October 4, Gildemeister 155

Refreshments served beforehand Gildemeister 135. 

Dynamic Neural Field Modeling  

Dr. Joe Ambrose
University of Iowa/Fastenal
WSU Alumnus

Dynamic field theory provides an explanation for how the brain gives rise to behavior via the coordinated activity of populations of neurons. Dynamic Neural Field models use differential equations to abstract and describe the activity patterns and interactions of such neural populations. In this way, one can simulate and visualize processes such as attention, memory, and change detection, across one or more dimensions such as spatial position or color. These models have been used in a variety of disciplines - from Psychology and Physiology to Robotics. In this talk, I will introduce the motivation, fundamental concepts, and positive results of Dynamic Neural Field modeling as experienced during my PhD research.