In-depth, specialized learning opportunities for graduate students.
Specialized reading courses supplement our regular graduate course offerings, allowing you to go even deeper on a particular topic. Faculty members can offer reading courses on virtually any topic in the world of math—ranging from Historiography of Mathematics to Mathematical Models of Whole Genomes Analysis. These fascinating options change from term to term.
Interested in a particular reading course?
Current Math Graduate Students: first contact the course instructor to receive obtain the instructor's permission/signature, and then email Graduate Program Assistant with the approval correspondence at mathgsec@sfu.ca.
Student outsideof the mathematics department: complete the Course Add/Drop Form, obtain the instructor's permission/signature, and return the form to the Graduate Program Assistant at mathgsec@sfu.ca.
CURRENT READING COURSE OFFERINGS
Topics in Homological Algebra, Nathan Ilten
Topics in Queueing Theory, Sandy Rutherford
Topics in Combinatorics, Marni Mishna and Amarpreet Rattan
Previous Reading Course Offerings
Topics in Approximation of parametric and stochastic PDEs, Ben Adcock
Topics in Expansion, Lifts, and Interlacing Families, Matt DeVos
Topics in Historiography of Mathematics, Tom Archibald
Topics in Number Theory, Imin Chen
Topics in Computer Algebra, Michael Monagan
Arithmatic of Quaternion Algebras, Imin Chen
Early Modern Mathematics, Tom Archibald
Enumerative Geometry, Jake Levinson
Matroid Theory, Matthew DeVos
Math Models in the Social Sciences, Paul Tupper
Introduction to the Arithmetic of Elliptic Curves Over Finite Fields, Imin Chen
Queuing Theory, Sandy Rutherford
Algebraic Topology, Luis Goddyn
Elliptic Surfaces, Nils Bruin
Representing Graphs with Semidefinite Programming, Matt DeVos
Topics in Computer Algebra, Michael Monagan
Nonlinear functional analysis and variational methods, with applications to PDE, Nilima Nigam
Historiography of Modern Mathematics, Tom Archibald
Sheaves and Cohomology in Algebraic Geometry, Nathan Ilten
Applications of Convex Optimization in Machine Learning, Zhaosong Lu
Compressed Sensing, Structure and Imaging, Ben Adcock
Machine Learning, Paul Tupper
Represetation Theory of Lie Groups and Algebras, Nathan Ilten
Summer School in Probability, Marni Mishna
Hilbert Spaces, Approximation, and the Spectral Theory of Compact Operators, Nilima Nigam
Contact Processes and Disease Models on Complex Networks, Alexander Rutherford
Topics in Besov Spaces, Interpolation and Non-linear Approximation, Ben Adcock
Topics in Computer Algebra, Michael Monagan
Wavelets, Approximation Theory and Signal Processing, Ben Adcock
Introduction to Measure-Theoretic Probability, Paul Tupper
Boundary Element Methods, Nilima Nigam
Non-Linear Discrete Optimization, Tamon Stephen
Singularity Analysis and Combinatorial Enumeration, Marni Mishna
History of Mathematical Analysis, 1600–1950, Tom Archibald
Toric Geometry, Nathan Ilten
Operational Research Applied to Epidemiology and Health Services, Sandy Rutherford & JF Williams
An Introduction to Compressed Sensing, Ben Adcock
Applied Combinatorics Field School, Karen Yeats & Marni Mishna
Topics in Computer Algebra, Michael Monagan
Fast Direct Solvers for Integral Equations, MC Kropinski
Elliptic Curves, Nils Bruin
Stochastic Processes in Physics and Chemistry, Paul Tupper
Further Topics in Complex Analysis, Nilima Nigam
Topics in Computer Algebra, Michael Monagan
Topics in Kinetic Theory, Weiran Sun
Introduction to Measure-Theoretic Probability, Paul Tupper
Topics in Computer Algebra, Michael Monagan
Spectral Methods, Manfred Trummer
Analytic Combinatorics in Several Variables, Karen Yeats
p-adic analysis, Nils Bruin
Computational Aspects of Medical Imaging, Manfred Trummer
Several Complex Variables and Analytical Combinatorics, Karen Yeats
Symbolic Dynamics, Bojan Mohar
Matroid Theory, Matt DeVos
Modelling of Complex Social Systems, Vahid Dabbaghian
PDE and Pseudo-Differential Operators, Nilima Nigam
Dynamical Systems, Chaos, and Noise, Sandy Rutherford
Topics in Magnetohydrodynamics (MHD) and Computational MHD, Steven Pearce
Fundamentals of Arithmetic Geometry, Nils Bruin
Introduction to Measure-Theoretic Probability, Paul Tupper
Historiography of Modern Mathematics, Tom Archibald
Modified Generalized Laguerre Functions Tau Method for Solving the Lane-Emden Equation, Steven Pearce
Topics in Computer Algebra, Michael Monagan
Geometry and Optimization, Luis Goddyn and Matt DeVos
The Numerical Solution of Integral Equations, Mary-Catherine Kropinski
Mathematical Models of Whole Genomes Analysis, Cedric Chauve
Mathematical Epidemiology, Ralf Wittenberg and Sandy Rutherford
