Math Department (Remote) Socials
Fridays, 2-3pm, online at Gather.Town
Please join the Math Club and Math Department before the Colloquia below for a gathering on Gather.Town here (through which you can also access the Colloquium Talk). This is an opportunity to meet fellow students, discuss math and life, chat with professors, and meet the colloquium speaker.
All are welcome to join!
This colloquium series is aimed at undergraduate students who are in calculus or higher mathematics courses.
Friday, November 20, 3:00-4:00pm
Dr. Thiago Serra, assistant professor of analytics and operations management at Bucknell University
What Makes Neural Networks So Expressive, and What Could Make Them Smaller? Some Answers Based on Polyhedral Theory and Mixed-Integer Linear Programming
Abstract: Neural networks have been successfully applied to complex predictive modeling tasks in areas such as computer vision and natural language processing. On the one hand, they have been shown to be a very powerful mathematical modeling tool: a neural network can model a piecewise-linear function with an exponential number of pieces with respect to its number of artificial neurons. On the other hand, we may still need an unreasonably large neural network in order to obtain a predictive model with good accuracy in many cases. How can we reconcile those two facts?
In this talk, we apply traditional tools from operations research to analyze neural networks that use the most common type of artificial neuron: the Rectified Linear Unit (ReLU). First, we investigate both theoretically and empirically the number of linear regions that networks with such neurons can attain, which reflect the number of pieces of the piecewise linear functions modeled by those networks. With respect to that metric, we unexpectedly find that sometimes a shallow network is more expressive than a deep network having the same number of neurons. Second, we show that we can use optimization models to remove units and layers of a neural network while not changing the output that is produced, which thus implies a lossless compression of the network. We find that such form of compression can be facilitated by training neural networks with certain types of regularization that induce a stable behavior on its neurons.
This talk is based on papers coauthored with Christian Tjandraatmadja (Google Research), Srikumar Ramalingam (Google Research and The University of Utah), and Abhinav Kumar (Michigan State University).
Bio: Thiago Serra is an assistant professor of analytics and operations management at Bucknell University's Freeman College of Management. Previously, he was a visiting research scientist at Mitsubishi Electric Research Labs from 2018 to 2019, and an operations research analyst at Petrobras from 2009 to 2013. His current work focuses on theory and applications of machine learning and mathematical optimization. He has a Ph.D. in operations research from Carnegie Mellon University's Tepper School of Business, and received the Gerald L. Thompson Doctoral Dissertation Award in Management Science in 2018. During his PhD., he was also awarded the INFORMS Judith Liebman Award and a best poster award at the INFORMS Annual Meeting in 2016. His work on neural networks has been published at ICML, AAAI, and CPAIOR, and received a best poster award at the Princeton Day of Optimization in 2018, as well as a third place in the poster competition of the LatinX in AI workshop at ICML 2020.
Friday, November 13, 3:00-4:00pm
Daniel Miller, Data Scientist at Microsoft
Mangrove - what watery trees and automated statistical analysis have to do with each other
Abstract: Running controlled experiments on a diverse array of online and offline products is hard. Analyzing the results in a trustworthy and democratic way is even harder! I'll spend some time motivating the whys and hows of controlled experimentations (A/B testing) in the tech sector, then talk through a framework I built, called Mangrove, for automatically analyzing the results of A/B tests.
Bio: Dan Miller started out school hoping to be a math professor, and got his undergraduate degree at UNO. While working on a math PhD at Cornell, he switched gears, and is now a data scientist in the Azure Machine Learning team at Microsoft. He lives in the Seattle area with his wife and cat.
Friday, October 23, 3:00-4:00pm
Mustafa Hajij, Santa Clara University
Object recognition using Topological Data Analysis
Abstract: Topological Data Analysis (TDA) provides a robust set of tools that have theoretical and practical capacities to understand the "shape of data" in any number of dimensions and on multiple scales, placing the concept of shape, as applied to data analysis, on a solid mathematical foundation. In the past few years, TDA tools have found numerous applications in many fields including neuroscience, bioscience, machine learning, data visualization, in the study of triangulated manifolds, and time-varying data, among others. We show new developments that allow us to utilize persistent homology in object recognition. In particular, We use persistent homology along with functions that arise naturally when studying graphs and meshes, such as the eigenfunctions of the Laplacian and PageRank, to study similarity amongst geometric and combinatorial objects.
Bio: Mustafa Hajij is an Assistant Professor of Data Science at the Department of Mathematics and Computer Science at Santa Clara University. He received his Ph.D. from Louisiana state university in 2015. He was a postdoctoral researcher at the University of South Florida between 2015 and 2017. He then spent a year as a postdoc scholar at the Department of Computer Science and Engineering at Ohio state university and another year as a research scientist at KLA Corporation. His current research interests lie in the interaction between deep learning and geometry. He wrote over 40 articles on various topics in Mathematics, Computer Science, and Engineering.
Wednesday, October 28, 6:00-7:00pm [Hosted by the UN Robotics Club]
Dr. Travis Deyle, founder and CEO of Cobalt Robotics
A talk by Dr. Travis on his life, career, and experiences in the field of robotics
Dr. Travis Deyle is a UNOmaha Alumni. He obtained dual degrees from the Peter Kiewitt Institute -- CS & Math double-major from UNOmaha and EE & CompE double-major from UNL in 2004 & 2005.
Following his graduation from University of Nebraska, Travis worked on nuclear "stuff" at Sandia National Laboratories. He then obtained his Masters & PhD from Georgia Tech, where he built some of the first mobile robots to operate in real homes -- fetching & delivering medication for older adults and helping people with motor impairments to shave their face. Subsequently, he built cyborg dragonflies as a postdoc at Duke University -- building custom chips to read out the brain signals from dragonflies in flight. Travis then went on to coordinate R&D efforts for medical implants at GoogleX Life Sciences -- an endeavor that became the first independent Alphabet spinoff, now now called Verily Life Sciences. Dr. Deyle was named a MIT Technology Review "Top Innovators Under 35" in 2015.
Currently, Travis is the founder and CEO of Cobalt Robotics, which creates service robots that provide benefits across a host of shared services: physical security, facilities management, and employee health & safety. Under Dr. Deyle’s leadership, the Cobalt Robotics has deployed robots all over the world with clients ranging in size from small startups to large Global-1000 multinationals, making Cobalt the leader in security robots. The company is based out of Silicon Valley and has raised more than $55 Million from world-class investors such as Sequoia Capital, Bloomberg Beta, and Toyota Research.
Friday, September 18, 3:00-4:00pm
Gary Towsley, Professor Emeritus from SUNY Geneseo
The Solution of the Cubic Equation in Sixteenth Century Italy. What Actually Happened?
Abstract: During the first half of the Sixteenth Century, mathematicians in Italy solved a problem that had been worked on for thousands of years - namely solving a cubic equation or finding a root of a cubic polynomial. They also managed to solve the quartic equation also. There is an interesting story as to how these discoveries occurred and the conflicts between the discoverers. That is not the story in this talk. Instead we will look at the actual mathematical solution and see how it came about through the combination of two very different kinds of mathematics.
Biography: Gary Towsley earned his Ph.D. in Mathematics from the University of Rochester in 1975, studying compact Riemann surfaces. He began teaching at SUNY Geneseo in 1974 and retired as Distinguished Teaching Professor of Mathematics in June 2020. His mathematical interests are in the areas of Algebraic Geometry, compact Riemann surfaces, Number Theory, and the History of Mathematics. In 2000 he received the Deborah and Franklin Tepper Haimo Award for Excellence in College and University Teaching from the Mathematical Association of America. Recipients of this award were asked to give a talk at the Joint Math Meetings held in January. Dr. Towsley spoke on "What does Dante have to do with Mathematics?"
View the slides from Dr. Towsley's presentation!
Friday, November 15, 3:00 PM, DSC 115
A Pseudo-Metric on Artifical Neural Networks
Abstract: Artificial Neural Networks have shown great potential to solve many difficult problems, including image classification, language translation, and medical diagnosis. The main reason for this is that they are quite good for finding patterns in large datasets. However, the internal structure of neural networks is not well understood. We attacked this problem via Topological Data Analysis (TDA), specifically using Persistent Homology, the go-to tool of TDA, and the Discrete Wasserstein Metric to study a potential method of comparison of Neural Networks. This talk will cover the basics of Dense and Convolutional Neural Networks, Persistent Homology, and the Discrete Wasserstein Metric.
This last summer, Jacob was an intern in the Space Communications and Navigations branch of NASA'S Glenn Research Center in Cleveland, Ohio. While there, they worked to serve the cognitive communications projects by studying Artificial Neural Networks. Specifically, through the use of Topological Data Analysis, they investigated methods by which to compare and classify neural networks using the topological structure they exhibit. This involved computing persistent homology for neural networks and comparing the peristence diagrams using the Wasserstein Metric, Fisher Information Metric, and Relative Entropy. The research is ongoing and Jacob is continuing the work through a NASA Nebraska Space Grant Fellowship this fall and spring.
Friday, November 8, 3:00 PM, DSC 115
Sampling to Characterize Cantor Sets
Abstract: Generalized Cantor sets are special sets of numbers between 0 and 1 with a fractal-like structure. They each have a Cumulative Distribution Function (CDF), F(x), where F(x) is the fraction of the set less than x. These functions also have a fractal-like structure. The talk looks into the question of “How many points do we need to know on the graph to be able to graph the whole thing?” The talk will also briefly cover getting involved with Research Experiences for Undergraduates (REUs) in general.
The research was conducted during a summer 2019 REU at Iowa State University. Dr. Eric Weber, assisted by graduate students, advised. The project was funded by the National Science Foundation (NSF).
Friday, October 11, 3:00 PM, DSC 115
Alan Hylton, Research Computer Engineer, NASA Glenn Research Center
Alan has worked for the NASA Glenn Research Center in Cleveland since 2006 as an intern, contractor, and a federal employee. Alan’s work began in the Biosciences and Technology Branch, and in 2009 he began work in communications where he focused on laser communications and networking research. He looks forward to meeting students and talking about internships, opportunities, and attempting to answer questions.
NASA's Gaze Towards Mathematics
Abstract: In this talk, we will discuss some applications of algebra, topology, and algebraic topology to engineering problems at NASA. We will take a tour of some of the work that has been done, take a look upon the tremendous amount of work yet to be done, and talk about what can be done in the intersection of computer science, mathematics, and engineering.
Friday, October 4, 3:00 PM, DSC 115
Brad Horner, UNO Graudate Student
Adventures in S3
Abstract: A one-dimensional sphere is just a circle in the plane, a two-dimensional sphere is the familiar one sitting inside three dimensions. What does the three-dimensional sphere within four-dimensional space look like? This is an expository talk with two people in mind: general audiences interested in what math in four dimensions looks like, and those interested in learning about algebraic topology. Some textbook topological constructions are explained - gluing, joins, smash, bundles - with fun pictures. How to visualize or reason about goings-on in 4D is discussed with cross-sections & stereographic projection, as well as how quaternions model 3D & 4D rotations. Connections are made to more advanced topics, like the exotic 7-sphere and stable homotopy groups. Artwork of the Hopf bundle (renderings of the Bloch sphere parametrizing qubits) is showcased.
Friday, September 6, 3:00 PM, DSC 115
Dr. Gregory Gelfond, Research Fellow College of IS&T at UNO
Developing Mathematical Identities through Authentic Problem Solving
In the present day, the role of the university and the meanings of words such as science and engineering have become blurry. This has profound ramifications in many areas but of particular interest is in how we understand these various fields of study and the interplay between them. In this talk I present my views on the western scientific tradition, the distinction between science and engineering, and the nature uniqueness of computing science as a scientific discipline.
Friday August 30, 3:00pm, DSC 115
Dr. Cory A. Bennett, Associate Professor of Education at Idaho State University
Developing Mathematical Identities through Authentic Problem Solving
Effectively implementing problem solving poses many challenges especially when the focus of learning mathematics centers on procedures or discrete concepts and when students do not see themselves as capable student mathematicians. As a result, problem solving can be a difficult skill to teach across K-16 classrooms. There is often a lack of time during the school day and students do not typically understand the actual nature and process, which requires critical thinking, persistence, organization, and flexible thinking. This presentation shares the initial findings from an on-going project examining the extent to which one problem solving structure helped students from diverse backgrounds and cultures better understand what it means to be a mathematician and do mathematics through authentic experiences.
All are welcome to join!
Friday April 12, 3:00pm, DSC 115
Meggan Hass, University of Nebraska - Lincoln
Multiplication - More Than Meets the Eye
Abstract: It’s easy to think that at this point in your life, you know all there is to know about elementary mathematics. After all, how many different ways are there to multiply? In this talk, we will first explore the type of knowledge that exists at the intersection of purely mathematical content and pedagogical knowledge. In particular, we will investigate the idea that there is more to know about multiplication and division than pure math experts know. In the second part of the talk, we will look at examples of this type of knowledge by discussing scratch work from students taking a standardized assessment. This work comes from an internship with Educational Testing Service (ETS) in 2019. The goal is that we all leave the talk appreciating the nuance in what mathematics students know and can do.
All are welcome to join!
Talk to be preceded by a panel on PhD programs in Mathematics, 2:15-2:45pm in DSC 208.
Friday March 29, 3:00pm, DSC 115
Shane Buresh, Nebraska Commission for the Blind & Visually Impaired
Diane Ditmars, Retired Teacher of the Visually Impaired & UNL Adjunct Lecturer for Intermediate Braille (Math Braille Code & Tacticle Graphics)
Getting In Touch with How the Blind and Visually Impaired do Math
Like most things in the world, mathematical endeavors and other stem activities are traditionally oriented to the sense of sight. Graphics and spatial representation of concepts dominate the methods of computation and task completion. What if someone needing to complete such tasks for work or pleasure lacks functioning sight to be successful at performing these tasks in those traditional ways? Do we say, “That’s too bad” or “I guess the visually impaired and blind can’t do math”? Too often those in society do, however, it is a myth fueled by lack of information and not reality that seems to make these statements seem true.
Please make plans to join Shane Buresh, Transition Coordinator from NCBVI and former blind math teacher and Diane Ditmars, retired teacher of the visually impaired and adjunct lecturer for Intermediate Braille which includes math Braille Code and Tactile Graphics" for the UNL teacher training program, for a colloquium discussion and hands on demonstration, that will illustrate the true capacity of the blind and visually impaired to participate in fields often thought by many to be off-limits to this population. The presenters will share strategies, stories and examples of successful methods that will leave the attendee with a fresh perspective and an ever-changed paradigm shift which demonstrates that sight is just one and certainly not the only sense that everyone can use to insure success at math, stem or whatever they desire.
All are welcome to join!
Monday March 11, 2:30pm, DSC 115
Dr. Adam Levine, Duke University
The Topology of Manifolds
Topology is a field of geometry that deals with the classification of the shapes of spaces up to continuous deformation. For instance, a topologist considers a sphere and a blob to be equivalent, and likewise a doughnut and a coffee cup, whereas the sphere and the doughnut are inequivalent. Intuitively, the distinction is that the doughnut has a hole while the sphere does not; topology gives us the tools to make this distinction rigorous. In this talk, I will survey the history of this exciting field, ranging from the 19th century to the present day, and describe some of the strange things that occur when we pass from surfaces to spaces of higher dimension. I'll also discuss some applications of topology to questions including the knotting of DNA, the shape of the universe, and the analysis of big data.
All are welcome to join!
Friday March 1, 3:00pm, DSC 115
Dr. Melissa Emory, University of Toronto
Connections Between Zeta functions, L-functions, and Integrals
The Langlands program connects fields that do not appear to be related; such as algebra, geometry, analysis, and physics. Due to its wide scope and deep results, the Langlands program is considered a grand unified theory. In this talk we will discuss our recent result in the Langlands program which connects a certain integral with zeta functions and L-functions.
All are welcome to join!
Friday February 15, 3:00pm, DSC 115
Dr. Xiao Xiao, Utica College
How to differentiate a number?
In this talk, we will introduce an alternative way to differentiate a number and discuss some basic properties of this new differentiation. In particular, we will see how solving certain differential equations in this setting is related to some of the most famous unsolved conjectures in number theory.
All are welcome to join!
Friday February 1, 3:00pm, DSC 115
Dr. Nicholas Kass, University of Nebraska at Omaha
A Linear Introduction to Nonlinear Waves
Partial Differential Equations (PDEs) are useful for modeling and understanding a wide variety of physical phenomena and also offer many unique and rewarding challenges for both mathematicians and those in computer science. In this talk we will derive several classical PDEs including the transport, heat, and wave equations from their physical principles and visualize the solutions with a variety of tools. Along the way we will discover that even simple equations can produce oftentimes unexpected difficulties, and it is these challenges which will serve as an introduction to several notions integral to a modern treatment of PDEs including weak derivatives, weak solutions, and energy methods.
With this background we will motivate a nonlinear generalization of the wave equation afforded by the p-Laplacian and ascertain its unique behavior in the presence of a variety of source and damping terms.
All are welcome to join! Flyer
Friday January 18th, 3:00pm, DSC 115
Dr. Gregory Gelfond, University of Nebraska at Omaha Computer Science Department
On the Western Scientific Tradition and the Uniqueness of Computing Sciences
In the present day, the role of the university and the meanings of words such as science and engineering have become blurry. This has profound ramifications in many areas but of particular interest is in how we understand various fields of study. In this talk I present my views on the western scientific tradition, the distinction between science and engineering, and the nature and uniqueness of computing science as a scientific discipline.
All are welcome to join! Flyer
November 16, 3:00pm, DSC 115
Dr. Jim Lewis, University of Nebraska at Lincoln
Opportunities for Math Majors
Jim Lewis recently returned to Nebraska after serving as Acting Assistant Director for the Directorate for Education and Human Resources at the National Science Foundation. Join Jim for a conversation about opportunities for math majors.
Jim Lewis is the Aaron Douglas Professor of Mathematics at the University of Nebraska-Lincoln and Director of the UNL Center for Science, Mathematics, and Computer Education.
All are welcome to join! Flyer
October 26, 3:00pm, DSC 115
Dr. Rebekah Yates, Houghton College
A Cemtury at Home on the (Numerical) Range
One hundred years ago, the German mathematician Otto Toeplitz published a paper in which he defined the Wertvorrat, a subset of the complex plane that captures some of the essential information about bounded linear operators on Hilbert spaces. In the ensuing century, mathematicians of many specialties have studied this set that we today call the numerical range. Restricting our focus to the context of matrices, we will explore some of the properties of this fascinating set and some current research in this area. We'll introduce/review linear algebra topics as needed along the way so that everyone can feel at home on the numerical range. Flyer
October 4, 2:30pm, DSC 111
Dr. David Wright, Washington University - St. Louis
Connections Between Mathematics and Music
Abstract: It has been observed that mathematics is the most abstract of the sciences, music the most abstract of the arts. Mathematics attempts to understand conceptual and logical truth and appreciates the intrinsic beauty of such. Music evokes mood and emotion by the audio medium of tones and rhythms without appealing to circumstantial means of eliciting such innate human reactions. Therefore it is not surprising that the symbiosis of the two disciplines is an age old story. The Greek mathematician Pythagoras noted the integral relationships between frequencies of musical tones in a consonant interval; the 18th century musician J. S. Bach studied the mathematical problem of finding a practical way to tune keyboard instruments. In this talk, some musical and mathematical notions will be brought together.
Biography: David Wright is Professor Emeritus and former Chair in the Department of Mathematics at Washington University in St. Louis. He received his Ph.D. in Mathematics from Columbia University. A leading researcher in the fields of affine algebraic geometry and polynomial automorphisms, he has produced notable publications in these areas and has been an invited speaker at numerous international mathematics conferences. He served on the Council of the American Mathematical Society, and chaired its Committee on Education. As a musician, David is an arranger and composer of a cappella music, where his work often integrates the close harmony and barbershop styles with jazz, blues, gospel, country, doo-wop, and contemporary a cappella. He serves as Associate Director of the award winning male chorus Ambassadors of Harmony, from St. Charles, Missouri. David designed and teaches a university course in Mathematics and Music.
Friday April 13, 2:30pm, DSC 254
Dr. Wendy Smith, University of Nebraska-Lincoln
Enacting and supporting institutional change aimed at implementing active learning in undergraduate mathematics
Abstract: UNL has worked to reform precalculus through calculus 2 (P2C2) since 2011, and has seen significant increases in passing rates (e.g., College Algebra rose to and has been sustained at 80% after a historical passing rate of around 60%). The department undertook reforms holistically and systematically, in collaboration with a national network of faculty all working to change the culture around P2C2 courses. Dr. Smith will share what UNL has done, what the impact of the changes have been, the current work, and next steps.
Biography: Dr. Wendy Smith is the Associate Director of UNL's Center for Science, Mathematics and Computer Education. As a former middle level mathematics teacher and current mathematics education researcher, Dr. Smith's research has focused on studying change at the individual (attitudes, beliefs and knowledge), group (impact of professional development on teachers and their students), and institution levels (education policy and institutional change).
Friday September 2nd, 3pm, DSC 116
Bryan Johnson, Oracle Data Cloud
Scalable Machine Learning on Big Data Graphs (Cool Math Talk)
A graph structure can be a great way to store and represent highly connected data. When this data is "big data", special tools are needed for access and analysis. In this talk we will give an overview of some popular distributed data processing tools like Apache Hive and Spark, which can be used to analyze graphs with hundreds of billions of edges. Several algorithms for graphical data structures will be discussed. We will outline the workflow for a production-ready machine learning model on a graph and discuss common issues that arise when working with big data.
Friday September 16th, 3pm, DSC 116
Matt Culek, Chief Operating Officer of Citadel Execution Services at Citadel Securities
Life in High Frequency Trading and a Mathematically Oriented Business Career
Abstract: Come learn how mathematics, a core quantitative ability and rigorous problem solving, are extremely useful in the world of business. Hear the story of someone who did not have enough passion for pure mathematics to pursue a career in research or academia, but was able to build on its core skills to eventually run the largest client-facing high frequency trading business in the US. This path included everything from modeling correlation risk while trading mortgage-backed securities in the heat of the financial crisis to identifying and simulating implicit financial risks while advising senior management of the largest financial services firms in the world. See how math has contributed to this path, plays a key role in the highly systematic and automated world of high frequency trading, and ask any questions you have about non-traditional career paths for a math major.
Biography: Matt Culek graduated from UNO in 2002 with degrees in Mathematics and Physics. He subsequently began (and quickly decided not to complete) a PhD in number theory at the University of Texas, worked as a pension actuary, earned his MBA from the Booth School of Business at University of Chicago, was a trader at Lehman Brothers through the bankruptcy in 2008, and was an Associate Principal in strategy consulting at McKinsey & Co in New York. He is currently the Chief Operating Officer of Citadel Execution Services at Citadel Securities. Citadel Execution Services is the largest equities market maker in the US and receives 36% of all orders from retail investors every day. Matt currently is living and working in Chicago, IL with his wife and two young children.
Tuesday September 27th, 3pm, DSC 164
Dylan King, UNO Math Student
An Undergraduate Research Experience in Mathematics at MSU (Cool Math Talk)
Dylan King is a student in his fourth year at UNO. Though starting out in civil engineering, he switched to mathematics and secondary education, and is set to graduate in 2018. Dylan is currently a TA for calculus classes and the Vice President for the Math Club. In this math talk Dylan will discuss his experience with his REU this past summer.
Thursday October 13th, 11am, DSC 298
Dr. Frank Hsu, Fordham University
Ranking and Scoring: Analyzing Big Data and Building Cognitive Systems
Abstract: Ranking and Scoring are often used in scientific discovery, technology innovation, and data analytics (in the STEMS domain). In this talk, we will: (1) introduce the notion of multiple scoring systems (MSS), (2) explore when and how to best combine those MSS', and (3) extend those insights to build cognitive systems which are resilient, effective and useful in the Big Data environment. One of the key issues we will address is the contrast between the two forms of similarity measurement: cognitive diversity (as an information diversity measurement) in Informatics and correlation (or rank correlation) (as a data correlation measurement) in Statistics. We will also cover a variety of Big Data domain applications including virtual screening, target tracking, joint decision making for prediction, corporate revenue forecasting, and figure skating judgments.
Biography: Frank Hsu is the Clavius Professor of Science, a Professor of Computer and Information Science, former chair of the Department, and former Associate Dean of the Graduate School of Arts and Sciences at Fordham University in New York City. Dr. Hsu’s research and education interests include combinatorics and graph theory, network interconnection and communication , macro-informatics, data and information fusion, and big data analytics. Hsu is currently on editorial board of: Journal of Interconnection Networks, Journal of Advanced Mathematics and Applications, Brian Informatics, Health Information Science Book Series and IEEE Trans. on Reliablity. Hsu received a Master degree from the University of Texas at El Paso and a Ph.D. degree from the University of Michigan. He was chair of the Section of Computer and Information Science at the New York Academy of Sciences and is chair of the New York Chapter of the IEEE Computational Intelligence Society.
Tuesday January 26th, 3pm, DSC 254
Hot Chocolate and Hangman
UNO Math Club
Welcome Back! Please come join the math club to kick off the new year! Come enjoy some hot cocoa and some games of math hangman while we talk about future math club events
Tuesday January 26th, 4:45pm, Thompson Alumni Center
Dr. Neal Grandgenett & Dr. Elliot Ostler, UNO College of Education
Mathematical Connections in STEM: An Activity Approach
Mathematics is often the conceptual foundation or “pedagogical glue” that holds interdisciplinary STEM environments together so that students can learn foundational concepts in science, technology, engineering and mathematics. Mathematics also helps to illustrate and to empower students in such environments, as they undertake real life problem solving, engineering design, or scientific inquiry. This Math Teaching Circle will explore more than 30 different “STEM Bin” activities, as well as other hands-on strategies for enhanced STEM learning within a mathematics education context. Teaching circle participants will explore various hands-on activities in small groups and receive a series of handouts that help them to modify or to duplicate the activities for their own classrooms.
Wednesday March 7th, 2:30pm, DSC 254
Katie Wanek,, University of Nebraska at Omaha
Theatre Geek turned Math Nerd: My Mathematical Journey in 3 Acts (Cool Math Talk)
Katie Wanek hasn’t always been a fan of math. In middle school, she hated it and cried over her math homework for hours each night. She left high school with plans to become a drama teacher, but on the advice of a former high school teacher, she enrolled in Calculus I her freshman year of college. The rest they say is history. In this Cool Math Talk, Katie will discuss how she went from being a theatre geek to the math nerd she is now and the lessons she learned along the way.
Tuesday April 26th, 2:30pm, DSC 256
Dr. Erin Carmody,, Visiting Assistant Professor, Nebraska Wesleyan University
Independence and Infinity (Cool Math Talk)
Abstract: Let us discover how the formalization of the concept of infinity led to an investigation of the foundations of mathematics. We shall learn how to count to infinity and beyond, and ask ourselves one of the most mysterious questions in mathematics: how big are the real numbers? Just as the parallel postulate is an independent axiom in geometry, we will see that there are many independent axioms involving infinity.
Biography: Dr. Carmody is from Omaha, Nebraska. In 2004 she graduated with a BS from UNO with a major in mathematics (and a concentration in art). After that, she earned an MA in mathematics at the University of Kansas. She then taught at KU for one year. Following that, she moved to NYC to be a PhD student at the City University of New York Graduate Center. Last April, she defended her thesis "Force to Change Large Cardinal Strength." Currently, she is a Visiting Assistant Professor at Nebraska Wesleyan University in Lincoln.
Friday October 9th, 2:30pm, DSC 254
Andrew Gacek, UNO Class of 2004
Careers in Mathematics & Computer Science
As a UNO undergraduate majoring in Mathematics and Computer Science, Andrew Gacek was involved in undergraduate research and competed in the Putnam Mathematical Competition where, as a junior in December 2003, he scored 60 points, placing in the top 2% of the over 3,000 students from across the US and Canada who participated that year.
After he graduated in 2004, Andrew completed his PhD in Computer Science in 2009 at the University of Minnesota and then spent a year as a post-doc at INRIA Saclay in France. He is now a Senior Industrial Logician at Rockwell Collins, applying his mathematical background to the verification of safety critical systems.
Come hear what life, work and yes!! mathematics look like in an industrial research group.
Monday October 12th, 2:30pm, DSC 254
Dr. Lynda Wiest, Professor of Mathematics Education and Equality Education, University of Nevada at Reno
Gender Issues in Mathematics Education (Cool Math Talk)
In this session, Dr. Wiest will share issues regarding females in mathematics education and solution strategies for supporting and encouraging girls in mathematics. A handout will be provided.
Friday November 6th, 2:30pm, DSC 254
Dr. Kevin Keating, Professor of Mathematics, University of Florida
Galois Modules and Ramification Theory
Let K be a local field and let L/K be a finite totally ramified Galois extension. The ramification breaks of G = Gal(L/K) measure how close certain elements of G are to the identity. In certain ”degener- ate” cases the number of ramification breaks is less than one would expect based on the order of G. I will consider the problem of finding replacements for the missing ramification breaks in terms of distances between elements of various group rings of G. This is joint work with Griff Elder, and builds on the work of Byott-Elder.