COMPENG 3SK3
Numerical Methods for Scientific Computing
Winter 2026 · C01
Topics
- Computer representation of numbers and errors
- Taylor series
- Roots of nonlinear equations
- Roots of polynomials
- One-dimensional unconstrained optimization
- Multi-dimensional unconstrained optimization
- Numerical differentiation
- Numerical integration
- Linear algebraic equations
- Singular value decomposition
- Least-squares regression
- Interpolation
- Numerical solutions of ordinary differential equations
Readings
- Numerical Methods for EngineersMcGraw-Hill
Winter 2026
Topics
- Numerical analysis
- Linear and nonlinear systems
- Least squares and matrix decomposition
- Polynomials
- Elements of linear algebra
- Optimization
- Numerical integration and differentiation
- Interpolation
- Engineering applications
Readings
- Numerical Methods for Engineers Authors: Steven Chapra and Raymond Canale Publisher: McGraw-Hill Publication Date: 2014 or 2015 Edition: 6th or 7th Edition
- Lecture/course notes
Sources
- Course catalogue ↗2026–2027
- Academic calendar ↗
- Campus Store reading list ↗Winter 2026
- Course outline / syllabus ↗Winter 2026
- Course outline / syllabus ↗Winter 2026
- Text Ch. 3, lecture notes Text Ch. 4, lecture notes Text Ch. 5-6, lecture notes Text Ch. 7, lecture notes Text Sec. 13.1, 13.3, lecture notes Text Ch.14, lecture notes Text Sec. 23.1, lecture notes Text Sec. 21.1-21.2, Ch.22, lecture notes Text Ch. 9-11, lecture notes Lecture notes Text Sec. 17.1-17.4, lecture notes Text Sec. 18.1-18.3, 18.6, lecture notes Text Sec. 25.1-25.4, Ch.26, lecture notes