University of Toronto at
Office hours before the final exam: M.Y.: Thu, Dec 8, 11-12:30; T.H.: Fri, Dec 9, 2-4
- Instructor: Michael Yampolsky, Room DH-3022
- e-mail: yampol(at)math(dot)utoronto(dot)ca
- Lectures: Tuesdays 2pm-4pm, CC-1080, and Thursdays 1pm-2pm, Room
- Office hours: Tuesdays 12-1pm and Thursdays 12-1pm or by appointment
- Instructor: Tobias Hurth, Room DH-3017
- e-mail: tobias(dot)hurth(at)utoronto(dot)ca
- Lectures: Tuesdays 5pm-7pm, IB-150, and Thursdays 5pm-6pm, Room
- Office hours: Tuesdays, 1-2pm, and Thursdays, 3-4pm, or by appointment
- Masih Alavy,
Office hours: Fridays, 1pm-2pm and 3pm-4pm, DH 2034
- Alfred Benn, alfred(dot)benn(at)gmail(dot)com
Office hours: Fridays 10am-12pm, DH 2034
- Textbook: Edwards & Penney, Differential Equations with
Boundary Value Problems: Computing and Modelling, Fifth Edition,
Topics: The course will cover Chapters 1-6,8,9
of the text. The topics will include: an introduction to first order
differential equations; phase plane analysis; numerical methods; higher
order linear equations and systems; nonlinear phenomena; power series
solutions, Fourier series solutions.
- Computing project: The computational side of the course will be based on
the use of a powerful computer algebra system Maple. Please click here
for the links to Maple resources and the descriptions of the
- 30% in-class quizzes at
the start of the class on the following Tuesdays: Sept 20, Oct
4, Nov 8, Nov 22, and one computing project due December 1 in class
- 25% Midterm, October 27th, in class
- 45% Final Exam
Please note that there will be no make-up quizzes, an undocumented absence will
result in zero credit. A late hand-in of the computing assignment will also
result in zero credit. You must write the quizzes/midterm in the lecture
section you are registered for.
for the computing assignment
. Due on December 1st
, in class.
here for the suggested homework exercises.
here to see the solutions of past quizzes and the midterm.
material to chapter 3: Complex numbers. There are numerous websites with an
introduction to complex numbers. Here is a link to one such
and academic honesty:
Students are expected to adhere to the academic regulations of the University as
outlined in the "Code of Behaviour on Academic Matters" which can be
found in the UTM Calendar.
The work you submit must be your own. Plagiarism is a form of academic
fraud, and the University treats it very seriously. See the guide How
Not to Plagiarize.