Department of Mathematics and Statistics
Mathematics is the study of numbers, shapes and relationships through the use of deductive reasoning, and includes both the elegance of pure theory and the application of this theory to all human endeavours. Students cover topics from the fields of algebra, analysis, geometry and applied mathematics.
Statistics is the science of collecting and analyzing data. Probability theory, the study of uncertainty, provides the foundation for all statistical models. Principles of probability theory and statistics are used to make decisions in the insurance industry, healthcare industry, the financial world, and in engineering.
Chair
Adi Tcaciuc, PhD (Alberta)
Mathematics
Faculty
Cristina Anton, PhD (Alberta); PhD (Romanian Academy)
Applied Mathematics; Probability and Mathematical Statistics
Sunil Barran, MSc (Alberta)
Mathematics; Partial Differential Equation
Elaine Beltaos-Kerr, PhD (Alberta)
Mathematics
Ion Bica, PhD (Alberta)
Applied Mathematics
John Fedoruk, MSc (Alberta)
Statistics
Brian Franczak, PhD (Guelph)
Statistics
Rui Hu, PhD (Memorial)
Statistics; Applied Mathematics
Christian Ivanescu, PhD (Toronto)
Mathematics
Kathleen Lawry-Batty, PhD (Western Ontario)
Statistics
Shelley Lorimer, PhD (Alberta)
Engineering
David McLaughlin, PhD (Alberta)
Mathematics
Christopher Ramsey, PhD (Waterloo)
Mathematics
Mark Solomonovich, PhD (Tomsk State)
Theoretical and Mathematical Physics
Nicolae Strungaru, PhD (Alberta)
Mathematics
Wanhua Su, PhD (Waterloo)
Statistics
Adi Tcaciuc, PhD (Alberta)
Mathematics
David Thiessen, PhD (Regina)
Statistics
Nataliya Zadorozhna, PhD (Ukrainian National Academy of Sciences)
Mathematics