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Curricular information is subject to change
(1) Knowledge and Understanding. Having successfully completed the module, you will be able to demonstrate knowledge and understanding from a selection of:
Numerical methods to solve systems of linear equations.
Numerical methods to compute quadratures.
Numerical methods to solve nonlinear equations.
Numerical methods to solve optimisation problems.
Numerical methods to solve interpolation problems.
Numerical methods to solve simple differential equations.
(2) Intellectual Skills. Having successfully completed the module, you will be able to:
Analyse a mathematical problem and determine which numerical technique to use to solve it.
Show logical thinking in coding a mathematical problem in algorithmic form.
(3) Practical Skills. Having successfully completed the module, you will be able to:
Use Matlab, its instructions and its programming language.
Use your knowledge of Matlab to learn more easily any other programming language you will need to use in future.
Student Effort Type | Hours |
---|---|
Lectures | 18 |
Computer Aided Lab | 12 |
Autonomous Student Learning | 64 |
Total | 94 |
Students are recommended to have previous knowledge of Linear Algebra, Calculus (Taylor series) and Computational Methods (ACM20030 or equivalent).
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Assignment: Individual take-home assignments | Throughout the Trimester | n/a | Standard conversion grade scale 40% | No | 40 |
Examination: End of Trimester Exam | 2 hour End of Trimester Exam | No | Standard conversion grade scale 40% | No | 60 |
Resit In | Terminal Exam |
---|---|
Spring | Yes - 2 Hour |
• Group/class feedback, post-assessment
Not yet recorded.
Name | Role |
---|---|
Dr James Herterich | Lecturer / Co-Lecturer |
Ms Claire Bergin | Tutor |