The Q-Club, which is short for "Quantitative Club," is the departmental student organization, boasting over fifty members. Students speak on their research or share their internship and summer program experiences. Scheduled events take place approximately every other Tuesday 12:00-12:30pm with pizza and beverages being served. Q-Club will meet in Valentine 205-6.
Faculty members occasionally give talks as well, on topics ranging from "Math and Horror" to "An Outrageously Brief History of Mathematics."
If you know of students interested in giving a talk during the semester, please contact Ivan Ramler or Natasha Komarov. (Q-Club Archive Page)
Lance Oleny 04/24/18, Tuesday in Valentine #205-6
Title: CoDrone: Consumer Friendly Programmable Drone
Abstract: As automation and artifical intelligence continue to improve, the aviation industry is moving towards unmanned flight with drones. This talk will discuss my experience with programming a hand-held drone. Specifically, I have attempted to use speech-recognition software in python to send real-time basic flight commands to the drone. There will be code explanations in Python and C++. I will discuss my successes and limitation when working with the drone and will include a couple of demonstrations.
Esmeralda Quintana (SUNY Potsdam) 04/03/18, Tuesday in Valentine #205-6
Title: Hack Potsdam
Abstract: Esmeralda Quintana is a senior at SUNY Potsdam, pursing BA/MA in Mathematics and BA in Computer Science. She is the president for the SUNY Potadam ACM Chapter, and has been involved in hosting hackathons in Potsdam. She will speak about her experience of organizing hackathons in the local area, and also introduce upcoming events. For more information, please visit http://hackpotsdam.com/
Beau Yaremko 03/13/18, Tuesday in Valentine #205-6
Title: Decision Tree Modeling for Heroes of the Storm Game Videogame
Abstract: This talk will introduce the concept of decion tree modeling (also known as classification tree models) with applications to the Stat 113 first day survey and the video game, Heroes of the Storm. Heroes of the Storm is a competitive online video game that is growing in popularity. You pick a team of 5 heroes and battle against other players to advance through the map taking out enemy forts and towers until you finally make it to the other teams core. Once you destroy the other teams core you win the game. There are different maps with slightly different layouts that make players change up their strategies and team make-ups. Our goal is to use decision tree models to determine if there are certain strategies for each map that increase a team's probablilty of success.
Kira Murphy 02/27/18, Tuesday in Valentine #205-6
Title: Hackathons: A Programming Event for Beginners and Experts Alike
Abstract: What is a hackathon? According to Google, a hackathon is an event, typically lasting several days, in which a large number of people meet to engage in collaborative computer programming. Over President's Day Weekend, I attended Hack@CEWIT, a 48-hour event at Stony Brook University. I will be talking about what a hackathon is, how i ended up at this particular hackathon, what my team and I did, my overall experience, and upcoming hackathons near SLU.
Guinevere Gilman 02/13/18, Tuesday in Valentine #205-6
Title: Database Design for Statistical Analyses
Abstract: This talk will focus on the methods and concepts for building and designing a database to effectively store statistical data on hockey players' performance. It will include aspects of relational database design such as keys, constraints, and relations, and how a logical structure can be created to show the relationships between date while limiting redundancy. There will also be discussion of practical problems that I faced, such as populating the database with data from multiple sources.
Anna Izzo 01/30/18, Tuesday in Valentine #205-6
Title: Sentiment, Analysis, Made Easy by R
Abstract: In a world that is ever-evolving, people are no longer complaining about companies through their 1-800 numbers. Rather, if a company's products or services are disliked, consumers visit social media platfoms, such as Facebook, twitter, Instagram, etc.,and post their complaints in plain sight. Because of this, companies must show diligence in listening and responding to those who reach out in this manner.
Over the summer, Anna Izzo worked to understand and improve the efficiency and accuracy of determining sentiment through automation, insead of human power. From back end to front, she will share how she created a model in R to score over 15000 tweets in less than 20 seconds-now that's fast!
Malakia Takane 12/14 THRUSDAY in Valentine 202 - Please note the Day and Room change.
Title: Portfolio Utility Optimization
Abstract: Mathematical Finance is the field of mathematics that studies financial markets. My project focuses on developing an optimal investment strategy that seeks to build up wealth or pension payment stream while providing a balance between risk and reward. More precisely, the objective of this project is twofold: (1) to contribute to the practical application of utility optimization in building up wealth or retirement pension by utilizing an iterative procedure (a binomial tree model) and (2) to illustrate by way of case study the use of utility optimization to determine the percentage of capital in stock at each time period in the given optimal portfolio.
11/28/17 Allison Macri
Title: Fractals, Forgeries, and Forensics: Using Fractal Analysis to Identify Forged Handwriting
Abstract: This talk will introduce fractals and their relationship to forensic science. Examples of true and statistically self-similar fractals and their definitions will be given. This talk will also highlight the two important dimensions that classify fractals: the topological dimension and the Hausdorff-Besicovitch dimension, which is also known as fractal dimension. My research focuses on using fractal analysis to identify forged handwriting.
11/7/17 Nicole Williams
Title: Promoting Active Learning With Maple Trees
Abstract: My summer research focused on understanding the importance and the design of model eliciting activities. In the beginning of the summer I researched the design process and the important elements that are a part of model eliciting activities. Then I partnered with Nature Up North to look for a problem that was relatable and local to St. Lawrence University students that I could use for a model electing activity. In the end I created a model eliciting activity for college level classes, and have been able to implement it in statistics classes here at St. Lawrence University.
10/24/17 Yue Yang
Title: Counting Young Tableaux of a Given Shape
Abstract: My summer research focused on understanding the basics of Young diagrams and Young tableaux, and worked on the relationship between Young diagrams and Catalan numbers. Furthermore, this research discussed about how to introduce half-integers in Young tableaux, which becomes the main topic of my SYE.
10/10/17 Tiara Davis, of St. Lawrence is the Assistant Director of Career Services and Student Development
Some topics of discussion:How to get in touch with alumni, etc. regarding both full time employment and internship opportunities.
9/26/17 Nevaan Perera
Title: An Xbox Kinect Approach: Transforming Projector Screens into Interactive Smart-boards using the Xbox Kinect
Abstract: Smartboards add numerous benefits to the classroom experience such as easy writing and highlighting, surfing the web and controlling computer applications. These features significantly facilitate learning and teaching in the classroom; however, smartboards are with many shortcomings. Some of these shortcomings include cost, requirement of electronic pens and limitation of instructor participation. The current project intended to use the Xbox Kinect, which is a highly advanced depth sensor camera, to detect human body movements and execute tasks/applications on a projected screen. By leveraging such technology, we can transform regular projector screens into smart-boards, that are controlled just by the human body.
4/25/17 Last one for the semester
Soukaina Alami Idrissi
Abstract: Dailyhabit is an online web application which lets you keep track of your daily habits and long-term goals. I started this project during the web programming course with Prof. Lisa Torrey and turned it into a Senior Year project. I will be talking about how I acquired a domain and launched the website online, as well as the different tools and functionalities that I added to the web application
4/11/17 Madison Rusch and Haley Taylor
Title: Women in Cybersecurity Conference
Abstract: The Women in Cybersecurity Conference is a conference which aims to recruit, retain and advance women in the field of cybersecurity. With that goal in mind, they offer scholarships to undergraduate scholars so that students who might otherwise be unable to go to the conference have the opportunity to attend. This year, Madison Rusch and Haley Taylor, seniors in the Computer Science department, both received scholarships that allowed them to travel to Tucson, Arizona and participate in this year’s conference. They listened to keynote speakers, took part in technical presentations, and attended a Career Fair during their time at the conference. Come hear them talk about the process of applying for the scholarship, their time at the conference, and what they enjoyed most at this week’s Q-Club!
3/28/17 Greg Gardner and Gibson Drysdale
Title: Computing Shortest Paths Around SLU Campus
Abstract: Wouldn’t you like to know the shortest path from a location on campus to any and all other locations on campus? Is it possible? As partners, the topic of shortest paths hit home for us. Before starting this graph theory project, we figured that where we lived, 48 Park Street, was more on the outskirts of campus and therefore thought a shortest edges problem would be useful for us and many other people on campus. Using Dijkstra's algorithm and computer science, we have developed a way to turn the St. Lawrence campus map into a graph that tells us exactly this.
2/28/17 Kevin Frommer, Devin Robson, Andrew Volkmann
Title: NHL Ranking System
Abstract: This is a project that we did last year in our Graph Theory class. One of the types of graphs we learned about in the class was tournaments.
Specifically, how to take a tournament and rank teams based on wins and strength of their schedules. We choose to take this concepts that we learned and apply them to the NHL. We wrote an algorithm to create a ranking system for all NHL teams for both last year’s season and of all time. With the results that we found we were able to create a side by side comparisons with what we found to what the standings portrayed.
1/31/17 Gibson Drysdale
Title: Game-Making in Europe
Abstract: Not many off-campus programs offered by SLU give you the opportunity to get Computer Science credit. I was able to study abroad in Copenhagen, Denmark for four months in the spring of 2016, where I was enrolled in a Game Development program. The program teaches the basics of making video games and gives in-depth exposure into the European Video Game industry through company visits and other hands-on experiences. The program also counts for CS 300+ elective credit, which I needed if I wanted to graduate on time. I'll be covering the Denmark program, what it's like to live in Copenhagen, and the experiences I had during while taking this eye-opening and generally awesome course.
11/29/16 Elsa Fecke
Title: Comparing Statistical Methods for Classifying Brain Cancer
Abstract: The purpose of this project is to classify brain cancer subtypes using statistical methods and biological data. The statistical algorithms that are used to classify the cancer subtypes are naïve Bayes, K-Nearest Neighbors, Support Vector Machines and Random Forest. Two types of data are used in classification, including gene expression data and copy number data. The research question is: how can we obtain the best classification accuracy for prediction of brain cancer subtype?
11/15/16 Michelle Gould from St. Lawrence University Career Services will discuss the following topics
What they can do for you, what our majors have done in the past. How to get in touch with alumni, etc. regarding both full time employment and internship opportunities.
11/1/16 Sejla Palic will give a talk on her SLU Fellowship project she worked on with Jessica Chapman last summer
Title: " Pareto Front App: Optimizing Decision Making Process"
Abstract: Pareto Fronts are one way to simultaneously optimize multiple criteria. A choice is eliminated if it is worse than at least one other choice. This is done by considering “all” possible solutions/options and eliminating inferior ones. An option is eliminated from contention if it is worse than at least one other available option. Once a Pareto front is identified, only equally “good” choices are left to choose from. At that stage, the decision about which single option is “best” becomes subjective; however, this app provides some additional tools to guide you to a defensible solution. Even though functions for finding Pareto fronts are written in R language and are available to the public, an average person wouldn’t be able to use them efficiently. The purpose of our project was to make a web app that would allow users without R knowledge to utilize Pareto Fronts functions on large data sets.
10/18/16 Holley James-Grisham will speak on his research
Title: " Using Stylometry to Classify Movie Script Genres with Each Other"
Abstract: Stylometry is the statistical breakdown of deviances in literary style among writers or genres (Burrows, 267). Stylometry can be used in situations where people come across books that they like, and search out the author in hopes that the author has written similar books. After days of searching they might realize that the author of the book is unintentionally unidentified. The book is from ancient Greece and the author’s page got lost over time. However, a statistical algorithm that uses the words from the book to correlate it to one specific author could be used to discover who wrote the book. The theory of stylometry will be tested using movie scripts from the web. The main question is whether or not different stylometry methods can be used to distinguish between different genres. Once the basic steps to filtering through the flooded data is successfully complete using computer coding software in R, the data will then be ready for analysis using a variety of stylometry techniques to represent each data set. Finally, a variety of numerical representations from the stylometry techniques will be used to create cluster plots to see the clusters of similar data sets. This research will allow writers to group different pieces of work to different time periods, authors, and possibly genres. The likeliness that research is successful will be determined by whether or not there is an accurate correlation between different data sets.
10/4/16 speaker Brian Coakley (CFO @ North Country Savings Bank),
Mr. Coakley will talk about his career path from a computer science major to becoming CFO at a bank.
9/20 16 Yuxi Zhang (Abstract Fellowship 2016)
Title: " User Interface and Usability Analysis for Importing Data in Statistics & Data Analysis Tools"
Abstract: As statistical data analysis software tools are used intensively and extensively during research and decision-making in industries, software engineers also never stop seeking more user-friendly interface designs to prevent cases where users fail to import external data into those analysis tools effectively. The format of the data and the size can make data import challenging.
My fellowship project focused on improving the data import process of a web-based tool “StatKey” with a more user-friendly interface. StatKey is used extensively by students taking Applied Statistics courses here at SLU and many other users worldwide.
9/6/2016 Taylor Pellerin (Abstract Fellowship 2016)
Title: "Play Select Like a Champion: Run/Pass Decision Making in FBS College Football"
Abstract: Before every single offensive play in American football, the coach has a choice to make: which set of instructions to give the team. Each play call is a decision that is tactically made. Depending on any number of conditions, a coach will have the team run or pass the ball, with the goal of advancing the field and ultimately scoring. After constraining and cleaning up a very large data set, I built a set of linear models which look at the success of certain factors in predicting efficient play calling. In this session, I will talk about the ways in which the data set was manipulated, the process of developing the models, as well as a change in run/pass decision-making that the results of the models point to.