This reference describes the indicated catalogue. Check with the institution to confirm the current offer and the conditions applicable to your intake.
Description
Numerical Methods Survey of computational methods and algorithms; basic concepts (algorithm, computational cost, convergence, stability); roots of functions; linear systems; numerical integration and differentiation; Runge-Kutta method for ordinary differential equations; finite-difference method for partial differential equations; fast Fourier transform; Monte Carlo methods. Implementation of numerical algorithms in a scientific programming language. Lectures, 3 hours per week; lab, 1 hour per week. Prerequisite(s): MATH 1P02 or 1P06 ; MATH 1P11 or 1P12 ; MATH 2P12 or permission of the instructor. Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
Prerequisites
- Prerequisite(s): MATH 1P02 or 1P06 ; MATH 1P11 or 1P12 ; MATH 2P12 or permission of the instructor.
Conditions and arrangements
- Prerequisite(s): MATH 1P02 or 1P06 ; MATH 1P11 or 1P12 ; MATH 2P12 or permission of the instructor.
- Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
Reference text in its original language
Numerical Methods Survey of computational methods and algorithms; basic concepts (algorithm, computational cost, convergence, stability); roots of functions; linear systems; numerical integration and differentiation; Runge-Kutta method for ordinary differential equations; finite-difference method for partial differential equations; fast Fourier transform; Monte Carlo methods. Implementation of numerical algorithms in a scientific programming language. Lectures, 3 hours per week; lab, 1 hour per week. Prerequisite(s): MATH 1P02 or 1P06 ; MATH 1P11 or 1P12 ; MATH 2P12 or permission of the instructor. Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
- Prerequisite(s): MATH 1P02 or 1P06 ; MATH 1P11 or 1P12 ; MATH 2P12 or permission of the instructor.
- Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
Sources and references
Dates and sources are retained to help you verify the information. Translations are provided to facilitate reading; the official source governs conditions and requirements.
Source reference : https://brocku.ca/webcal/2024/undergrad/math.html