Welcome to CSC338, Numerical Methods! This course will introduce you to 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 numerical problems, 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.

Doing Well in CSC338

Past students have found the following to be useful:

• Start assignments early
• Participate meaningully in class - learn the material in a fun and collaborative way!
• Form and join study groups and solve lots of problems!

Schedule

Textbook and References

Michael Heath, "Scientific Computing: An Introductory Survey," Mc-Graw Hill, 2002.