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Graduate Reading Courses
Indepth, 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 mathâ€”ranging from Historiography of Mathematics to Mathematical Models of Whole Genomes Analysis. These fascinating options change from term to term.
To enroll in a Reading Course, complete the Course Add/Drop Form, obtain the instructor's signature, and return form to the Graduate Program Assistant.
Fall 2019 Reading Course Offerings
Previous Reading Course Offerings
Summer 2019 Reading Course Offerings
 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
Spring 2019 Reading Courses
 Historiography of Modern Mathematics, Tom Archibald
 Sheaves and Cohomology in Algebraic Geometry, Nathan Ilten
2018 Reading Courses
 Applications of Convex Optimization in Machine Learning, Zhaosong Lu
 Compressed Sensing, Structure and Imaging, Ben Adcock
 Machine Learning, Paul Tupper
2017 Reading Courses
 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 Nonlinear Approximation, Ben Adcock
 Topics in Computer Algebra, Michael Monagan
2016 Reading Courses
 Wavelets, Approximation Theory and Signal Processing, Ben Adcock
 Introduction to MeasureTheoretic Probability, Paul Tupper
 Boundary Element Methods, Nilima Nigam
 NonLinear Discrete Optimization, Tamon Stephen
 Singularity Analysis and Combinatorial Enumeration, Marni Mishna
 History of Mathematical Analysis, 1600â€“1950, Tom Archibald
 Toric Geometry, Nathan Ilten
 Operational Research Applied to Epidemiology and Health Services, Sandy Rutherford & JF Williams
2015 Reading Courses
 An Introduction to Compressed Sensing, Ben Adcock
 Applied Combinatorics Field School, Karen Yeats & Marni Mishna
 Topics in Computer Algebra, Michael Monagan
2014 Reading Courses
 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
2013 Reading Courses
 Topics in Kinetic Theory, Weiran Sun
 Introduction to MeasureTheoretic Probability, Paul Tupper
 Topics in Computer Algebra, Michael Monagan
 Spectral Methods, Manfred Trummer
 Analytic Combinatorics in Several Variables, Karen Yeats
 padic analysis, Nils Bruin
2012 Reading Courses
 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 PseudoDifferential 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 MeasureTheoretic Probability, Paul Tupper
2011 Reading Courses
 Historiography of Modern Mathematics, Tom Archibald
 Modified Generalized Laguerre Functions Tau Method for Solving the LaneEmden Equation, Steven Pearce
 Topics in Computer Algebra, Michael Monagan
 Geometry and Optimization, Luis Goddyn and Matt DeVos
 The Numerical Solution of Integral Equations, MaryCatherine Kropinski
 Mathematical Models of Whole Genomes Analysis, Cedric Chauve
 Mathematical Epidemiology, Ralf Wittenberg and Sandy Rutherford
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