2020/21 Undergraduate Module Catalogue
COMP2421 Numerical Computation
10 creditsClass Size: 300
Module manager: Professor Netta Cohen
Email: n.cohen@leeds.ac.uk
Taught: Semester 1 (Sep to Jan) View Timetable
Year running 2020/21
Pre-requisites
| COMP1421 | Fundamental Mathematical Concepts |
| COMP1721 | Object Oriented Programming |
This module is not approved as a discovery module
Module summary
Accuracy of floating-point computation. Standard numerical algorithms for linear equation systems, nonlinear equations, ordinary differential equations and data interpolation. The design of robust and efficient implementations in code.Objectives
On completion of this module, students should be able to:- Appreciate the role of numerical computation in computer science;
- Choose a computational algorithm appropriately, accounting for issues of accuracy, reliabilty and efficiency;
- Understand how to assess/measure the error in a numerical algorithm and be familar with how such errors are controlled;
- Implement simple numerical algorithms
Learning outcomes
On completion of the year/programme students should have provided evidence of being able to:
-demonstrate a broad understanding of the concepts, information, practical competencies and techniques which are standard features in a range of aspects of the discipline;
-apply generic and subject specific intellectual qualities to standard situations outside the context in which they were originally studied;
-appreciate and employ the main methods of enquiry in the subject and critically evaluate the appropriateness of different methods of enquiry;
-use a range of techniques to initiate and undertake the analysis of data and information;
-effectively communicate information, arguments and analysis in a variety of forms;
Syllabus
Approximation: converting a real-world problem, via a mathematical model, to a form which can be understood by a computer; discretising a continuous model; measuring, analysing and controlling approximation errors; balancing accuracy and efficiency. Static systems: simple iterative methods for solving nonlinear scalar equations; direct and iterative methods for solving linear systems of equations.
Evolving systems: differentiation as rate of change and as the limit of a gradient (including derivatives of simple functions); initial value ordinary differential equations, simple methods for initial value problems.
Teaching methods
| Delivery type | Number | Length hours | Student hours |
| Example Class | 10 | 1.00 | 10.00 |
| Lecture | 20 | 1.00 | 20.00 |
| Private study hours | 70.00 | ||
| Total Contact hours | 30.00 | ||
| Total hours (100hr per 10 credits) | 100.00 | ||
Opportunities for Formative Feedback
Coursework and tutorial / lab sessions.Methods of assessment
Coursework
| Assessment type | Notes | % of formal assessment |
| Assignment | Assignment 1 | 20.00 |
| Assignment | Assignment 2 | 30.00 |
| Assignment | Assignment 3 | 30.00 |
| Assignment | Assignment 4 | 20.00 |
| Total percentage (Assessment Coursework) | 100.00 | |
This module is re-assessed by exam only
Reading list
The reading list is available from the Library websiteLast updated: 08/03/2021 09:21:42
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- Undergraduate module catalogue
- Taught Postgraduate module catalogue
- Undergraduate programme catalogue
- Taught Postgraduate programme catalogue
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