Department of Mathematics & Computer Science
PROBLEM. ANALYSIS. SOLUTION.
Our computer science, mathematics and statistics faculty and instructors are top of the line, with credentials to rival other universities in and outside of Canada.
We offer Bachelor of Science undergraduate degrees in Applied Statistics, Computer Science and Mathematics. Both Master's and Doctoral levels of study are also available. Department faculty are currently working with students studying at each of these levels, many of whom are graduate students from around the world. Learn more about our majors and minors.
Undergraduate students may have opportunities to do research projects with our faculty, using modern facilities, for hands-on experience. Several department faculty have independent research programmes supported by agencies such as NSERC and IBM Canada, and at times, there may be a collaboration with other disciplines.
During this unique time in the world, the University of Lethbridge may be a bit restrictive for personal visits, so please take the time to "meet" our faculty and instructors via the buttons directly below. We think you'll see the Department of Mathematics & Computer Science offers a wide range of topics in each of our disciplines, and we're confident you will find something to appeal to your intellectual interests.
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Department Highlights
Silvana Pesenti
PIMS DISTINGUISHED SPEAKER
Silvana Pesenti
University of Toronto
TOPIC: Projections and Baycentre of Process
Friday, March 20
12:00 - 1:00 pm in SA6012
Abstract: This talk presents approaches for combining probabilistic models of stochastic processes through the projection of models onto constraint sets. We investigate the problem of an agent seeking a probability measure that best reconciles multiple expert models while satisfying certain constraints. The optimal model is the one that minimizes the Kulback-Leibler projected onto the constraint set. We provide explicit characterizations of the optimal models and develop deep learning algorithms to simulate under the combined model.
EVERYONE IS WELCOME! SNACKS PROVIDED!
Organizers: Corina Birghila, Nathan Ng
Visit the seminar web page at https://www.ulethbridge.ca/artsci/math-computer-science/pims-distinguished-speakers
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SPRING MATH FAIR - March 22
An afternoon of fun math activities with bubbles and knots.
Open for everyone in grades K-12.
Roberto Budzinski - University of Lethbridge
Number Theory & Combinatorics Seminar
Topic: A mathematical framework to link structure, dynamics, and computation in oscillator networks
Date: Monday, March 23
Time: 12:15 - 1:15 pm in M1060
Understanding how network structure gives rise to spatiotemporal dynamics and computation is a central challenge in computational neuroscience and artificial intelligence. Despite increasingly detailed connectomic data in neuroscience and large-scale datasets in machine learning, establishing principled links between connectivity, dynamics, and function in nonlinear neural systems remains difficult. In this talk, I will present a mathematical framework that directly relates network architecture to emergent dynamical patterns and computational capabilities in analytically tractable models. Our approach focuses on networks of coupled oscillators, which are widely used to model interacting neural populations and have recently gained interest as computational substrates in artificial neural networks. With this approach, we can show how key structural features of these networks — including connectivity patterns and transmission delays — determine the emergence and stability of spatiotemporal activity, enabling analytical predictions of collective phenomena such as traveling waves. When applied to empirically derived brain networks, the framework provides a rigorous connection between large-scale anatomy, distance-dependent delays, and wave dynamics observed at mesoscopic and whole-brain scales.
EVERYONE IS WELCOME!
Organizers: Emily Quesada-Herrera, Habiba Kadiri
Visit the seminar web page at http://www.cs.uleth.ca/∼nathanng/ntcoseminar/
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