Last modified: 25 Mar 2016 11:35
In many “real life” problems one is required to
find optimal solutions, namely a solution which, generally speaking, either
minimises “cost” or maximises “gain”. To do so, one models the problem
mathematically, and then applies the appropriate mathematical techniques to
find the optimal solution. In this course students will learn how to formulate
optimisation problems mathematically and study the relevant techniques
from analysis and algebra which are useful in solving them. Applications to
“real life” problems and the use of computer software to solve them will also
be discussed.
| Study Type | Undergraduate | Level | 3 |
|---|---|---|---|
| Session | First Sub Session | Credit Points | 15 credits (7.5 ECTS credits) |
| Campus | None. | Sustained Study | No |
| Co-ordinators |
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Information on contact teaching time is available from the course guide.
1st Attempt: 1 two-hour written examination (80%); in-course assessment (20%). Resit: 1 two-hour examination (maximum of 100% resit and 80% resit with 20% in-course assessment). Only the marks obtained on first sitting can be used for Honours classification.
Informal assessment of weekly homework through discussions in tutorials.
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