Undergraduate Course: Numerical Linear Algebra and Applications (MATH10059)
Course Outline
| School | School of Mathematics |
College | College of Science and Engineering |
| Course type | Standard |
Availability | Available to all students |
| Credit level (Normal year taken) | SCQF Level 10 (Year 3 Undergraduate) |
Credits | 10 |
| Home subject area | Mathematics |
Other subject area | None |
| Course website |
None |
Taught in Gaelic? | No |
| Course description | Linear Algebra is one of the most widely used topics in the mathematical sciences. Students are taught standard techniques for each of the basic linear algebra tasks at level 8 or 9; including: solving linear systems, eigen-analysis, orthogonalisation of bases, and various factorizations. However, the techniques taught at level 8 and 9 are usually computationally to intensive to be used for large matrices as are typical in applications such as search engines and genomic data sets. NLA will introduce students to these practical issues, and will present, analyse, and apply algorithms for computing approximate solutions to the above mentioned tasks. |
Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
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Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
| Additional Costs | None |
Information for Visiting Students
| Pre-requisites | None |
| Displayed in Visiting Students Prospectus? | No |
Course Delivery Information
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| Delivery period: 2012/13 Semester 1, Available to all students (SV1)
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WebCT enabled: Yes |
Quota: None |
| Location |
Activity |
Description |
Weeks |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
| No Classes have been defined for this Course |
| First Class |
First class information not currently available |
| No Exam Information |
Summary of Intended Learning Outcomes
| to be completed |
Assessment Information
| Examination 70%, coursework 30% |
Special Arrangements
| None |
Additional Information
| Academic description |
Not entered |
| Syllabus |
Not entered |
| Transferable skills |
Not entered |
| Reading list |
1. Applied Numerical Linear Algebra by James Demmel
2. Numerical Linear Algebra by Lloyd Trefethen and David Bau.
3. Iterative Methods for Solving Linear Systems by Anne Greenbaum.
4. Accuracy and Stability of Numerical Algorithms by Nicholas Higham. |
| Study Abroad |
Not entered |
| Study Pattern |
Not entered |
| Keywords | NLA |
Contacts
| Course organiser | Dr Jared Tanner
Tel:
Email: |
Course secretary | Miss Fiona Curle
Tel: (0131 6)50 5043
Email: |
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