CSC338 Numerical Methods (UTM)

Course Description

Computational methods for solving numerical problems in science, engineering and business. Linear and non-linear equations, approximation, optimization, interpolation,integration and differentiation. The aim is to give students a basic understanding of floating-point arithmetic and the implementation of algorithms used to solve numericalproblems, as well as a familiarity with current numerical computing environments.Course concepts are crucial to a wide range of practical applications such as computational finance and portfolio management, graphics and special effects, data mining and machine learning, as well as robotics, bioinformatics, medical imaging and others.

See the Syllabus for more information.

Course Staff and Contact

Instructor: Lisa Zhang
Office Hours: Monday 2pm-4pm and by appointment
Office: DH3078
Email: lczhang [at] cs [dot] toronto [dot] edu
Teachin Assistant:
Please include "CSC338" in your subject.

All announcements will be made on Piazza and Quercus

Textbook

Michael Heath, Scientific Computing: An Introductory Survey, Second Edition, McGraw Hill, 2002.

Roughly the first half of the book will be covered. The relevant chapters have been made available by McGraw Hill in the textbook store at a special price.

Tentative Schedule

The course schedule is tentative and subject to change.