Past Events

Join us for lunch and a presentation highlighting opportunities offered by NSERC and Mitacs to establish connections between industry and academics. Students and industry professionals are welcome to attend. NSERC offers several programs that might...

The IMA, in collaboration with Mprime and PIMS, is holding a 10-day workshop on Mathematical Modeling in Industry in Calgary, Canada. The workshop is designed to provide graduate students and qualified advanced undergraduates with first hand...

Mathematical models can help us understand the formation of complex spatial patterns, including the territories of wolves and coyotes. Here scent marks provide important cues regarding the use of space. In this talk I will show how biologically-based...

What do designing a hybrid vehicle engine, a microscopic description of the fission process, a groundwater remediation plan, a fast code on a modern supercomputer, and an experimental X-ray beam have in common?All are examples of challenging...

A course for risk managers, quantitative analysts and others who want to learn how to make use of Monte Carlo and related techniques. Learn how to: • use Monte Carlo methods for accurate option pricing, hedging and risk management. • understand what...

The University of Calgary has been an international leader in developing experiments that involve imaging the aurora. At present, UofC has more than 50 instruments deployed across the Canadian Arctic. This network takes images and other measurements...

The electrophysiology in a cardiac cell can be modelled as a system of ordinary differential equations. The efficient solution of these systems is important because they must be solved billions of times as sub-problems of organ-level simulations. The...

Humankind's fascination with the mathematical constant pi goes well beyond practical need. In fact, even though over five trillion decimal places of pi has been calculated, a mere four decimal places are sufficient for the design of the world's...

GEOMED brings together statisticians, geographers, epidemiologists, computer scientists, and public health professionals to discuss methods of spatial analysis, as well as present and debate the results of such analyses. For further information...