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This course looks at a variety of methods for solving important computational problems that arise in science, engineering and commerce. In addition to applications, we will look at the methods' basic theoretical properties (stability, accuracy, computational complexity, convergence). During the course, you will learn about the performance of the methods through examples and counterexamples that highlight their pros and cons.
To gain understanding of the principles and applications of numerical methods. To be able to implement and use such methods To have an appreciation of error build-up, and stability issues. To enable students to use numerical methods to solve applied mathematical problems in science, engineering and elsewhere. To be able to know what type of numerical method to apply to a particular problem.
1) Either MATH201 or EMTH210; AND 2) One of MATH202, MATH203, MATH240, MATH270, EMTH211 or EMTH271. With the permission of the Head of School a high grade in either MATH201 or EMTH210 will suffice.
Students must attend one activity from each section.
Miguel Moyers Gonzalez
Note: To pass this course, you must both pass the course as a whole (≥50% over all the assessment items) and obtain at least 40% in the final examination.
General information for studentsLibrary portalMATH353S1">LEARN
Domestic fee $802.00
International fee $4,563.00
* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.
For further information see
Mathematics and Statistics