Module Descriptor School of Computer Science and Statistics
|Module Name||Computational Mathematics|
|Module Short Title||N/a|
|Semester Taught||Semester 2.|
|Module Personnel||Eamonn O Nuallain|
To be able to choose mathematical concepts and methods appropriate to the solution of applied numerical problems. To be able to implement solution methods using appropriate computer programming languages, libraries, and techniques.
Perform worked solutions to given problems in front of the class with class interaction. .
To understand, in sufficient detail for practical implementation, the mathematical concepts and methods appropriate to writing computer programs for science and engineering applications in general.
Floating point number systems; Numerical methods; Signal processing; Plotting and visualisation; Programming techniques and libraries supporting the aforementioned.
|Recommended Reading List|
Mandatory: Numerical Methods for Engineers and Scientists by Amos Gilat and Vish Subramaniam
Trinity Term: Written Exam 80%; Coursework 20% (this is comprised of 10% for unsupervised problem solving and 10% for supervised problem solving). The supervised problem solving session will take place in roughly mid-term. It will be of approx..50min duration.
Supplementals: There will be a Supplemental Exam in the Autumn for those who do not pass the Trinity Term exam. The Supplemental Exam will be a 100% written exam and will not include coursework marks.
|Academic Year of Data||2018/19|