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Module MAP55631: Numerical methods

Credit weighting (ECTS)

5 credits

Semester/term taught

First Semester

Module Coordinator

Kirk Soodhalter

Intended Learning Outcomes

Students who successfully complete the course should be able to:

• use numerical methods to solve systems of linear equations and some examples of nonlinear equations.

• describe how to solve optimisation problems numerically.

• construct numerical solutions to simple dierential equations.

• analyse amathematical problem and determine an appropriate numerical technique to solve it and describe logically how to code it in algorithmic form.

• use R, its instructions and its programming language.

Structure and Content

The module will comprise a number of short (two week) series of topical lectures from diffent experts in a range of application areas that exploit large-scale numerical or technical computing in current research. The course will thus introduce and expose students to a broad range of active areas where the concepts they are learning are put to work. Lectures are arranged jointly with UCD as part of the SimSci collaboration and will be held on the UCD Belfield campus.

Assessment Detail

50% examination 50% continuously assessed assignments throughout the semester.