Fall 2025 - MATH 331 Non-Euclidean Geometry
Non-Euclidean geometry is a classical mathematical discipline. The starting point is represented by Euclid’s axiomatic treatment of geometry, which goes back to the 3rd century BC. The whole theory relies on five axioms (postulates), among which the fifth one turned out to be controversial. The many disputes motivated by the role of this postulate eventually led to geometrical models which now form the body of non-Euclidean geometry. All these topics will be presented during the semester. The main reference is Experiencing Geometry (Euclidean and Non-Euclidean with History), by Henderson and Taimina, 4th ed, which is available online at this link
Winter 2026 - MATH 231 Euclidean Geometry
The course is an introduction to elementary plane geometry, with emphasis on proving. The foundations of geometry were established by Euclid more than two thousand years ago, in a way which will be described in the first part of the course. Coordinate system is a helpful tool in dealing with geometric concepts, as it will be seen in the second part. Finally, conic curves will be studied as well.
Winter 2026 - MATH 217 Differential Equations I
The main theme of this course is ordinary differential equations. Various classes of such equations will be studied. In solving them, one can sometimes employ Laplace transforms, which will also be discussed. Applications to real-world situations (physics, engineering, economics etc.) will be presented.
Winter 2026 - MATH 101 Mathématiques discrètes
Le cours est une introduction aux mathématiques, dont le but est de familiariser les étudiants avec des notions de base de la théorie des ensembles, logique symbolique, combinatoire, systèmes de numération et arithmétique. A la fin du cours il est attendu que les étudiants auront amélioré leurs habiletés à effectuer des calculs et aussi développé une pensée logique dans l’approche des mathématiques.
Winter 2026 - STAT 100 Introduction à la statistique
Le cours est une introduction aux méthodes statistiques dont le but est de familiariser les étudiants avec la statistique descriptive, les lois de probabilité et l’inférence statistique (des sujets abordés seront les tests d’hypothèse sur des moyennes et sur des pourcentages, t-test et ANOVA; corrélation et régression linéaire).