PhD Computer Science (McGill University)
BSc Joint Major in Physics and Computer Science (McGill University)
Short Bio
David Titley-Peloquin obtained his PhD from McGill University’s School of Computer Science in 2010. He then spent one year as a post-doctoral fellow at the University of Oxford and three years at the European Center for Research and Advanced Training in Scientific Computing (CERFACS) in Toulouse, France. Since January 2015 he is a Faculty Lecturer at McGill University’s Macdonald Campus.
Awards and Recognitions
2021 - ASEE Biological & Agricultural Engineering Division Early Achievement in Education Award
2018 - Faculty of Agricultural and Environmental Sciences Award for Teaching Excellence
2010 - Cecil Graham Doctoral Dissertation Award
Research Interests
David Titley-Peloquin is interested in the use of numerical methods for scientific computing. He is also studies uncertainty quantification – understanding how uncertainties in the data (such as measurement errors or parameter uncertainty) affect these methods. David is also interested in the use of active learning strategies for the mathematics and science classroom and laboratory.
Current Research
David Titley-Peloquin is currently working on problems related to numerical linear algebra, uncertainty quantification, numerical optimisation, data assimilation, and computational statistics. Recently he has also started investigating the design and implementation of active learning strategies for STEM disciplines and the effective use of learning technologies in the classroom and laboratory.
Mathematics (Agric&Envir Sci): First and second order differential equations, Laplace transforms, numerical solutions, systems of differential equations, series solutions, applications to biological, chemical and engineering systems, use of computer-based mathematical tools.
Offered by: Bioresource Engineering
Winter
Restrictions: Not open to students who have taken MATH 315
Physics (Agric & Envir Sci): Kinematics in one and two dimensions. Newton's laws of motion. Circular motion and orbits. Rotation of a rigid body. Momentum. Work and energy, power. Conservation principles. Simple harmonic motion. Waves and sound.
Offered by: Bioresource Engineering
Fall
Three 1-hour lectures, one 2-hour lab, one 1.5-hour tutorial per week
Physics (Agric & Envir Sci): Kinematics in one and two dimensions. Newton's laws of motion. Circular motion and orbits. Rotation of a rigid body. Momentum. Work and energy, power. Conservation principles. Simple harmonic motion. Waves and sound. Includes
calculus-based applications.
Offered by: Bioresource Engineering
Three 1-hour lectures, one 2-hour lab, and one 1-hour tutorial per week.
Physics (Agric & Envir Sci): Electric and magnetic properties of matter: electrostatics, electric currents, the link between electric and magnetic phenomena, geometrical optics, interference diffraction.
Corequisite: AEMA 102 (or MATH 141 or higher level calculus course) or CEGEP objective 00UP, or permission of instructor.
Restriction: Not open to students who have taken PHYS 102 or PHYS 142 or AEPH 115 or CEGEP objective 00US or equivalent. Not open to students in Bioresource Engineering.
Physics (Agric & Envir Sci): Electric forces, electric fields, electric potential. Current. Electric circuits. Magnetic fields and forces. Electromagnetic induction. Electromagnetic waves. Geometrical and physical optics. Includes calculus-based applications.
Offered by: Bioresource Engineering
Three 1-hour lectures, one 2-hour lab, and one 1-hour tutorial per week
Note: Not open to students who have taken AEPH 114, PHYS 102 or PHYS 142, and open only to students in Bioresource Engineering
Restriction: Not open to students who have passed AEPH 114 or obtained CEGEP competencies 00US and 00UT. Open only to students in Bioresource Engineering.
Bioresource Engineering: Systems of linear equations, matrices, inverses, determinants, geometric vectors in three dimensions, dot and cross product, lines and planes; introduction to vector spaces, linear (in)dependence, bases. lntroduction to computer-based mathematical tools.
Offered by: Bioresource Engineering
3 lectures and 1 conference
Restriction: Not open to students who have taken Math 133 or CEGEP objective 00UQ or equivalent
Prerequisite: AEMA 100 or equivalent course in functions/precalculus
Bioresource Engineering: Advanced topics in engineering mathematics, including systems of ordinary differential equations, stability analysis, special functions, orthogonal functions and Fourier series, boundary value problems in various coordinate systems, and integral transforms. The use of computer-based mathematical tools is an
integral part of the course.
Offered by: Bioresource Engineering
3 hours of lecture and 1 hour of conference per week
