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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2010/2011
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DRPS : Course Catalogue : School of Mathematics : Mathematics

Undergraduate Course: Simulation (MATH10015)

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 4 Undergraduate) Credits 10
Home subject area Mathematics Other subject area Specialist Mathematics & Statistics (Honours)
Course website https://info.maths.ed.ac.uk/teaching.html Taught in Gaelic? No
Course description Course for final year students in Honours programmes in Mathematics and/or Statistics.

Introduction to Monte Carlo methods and random number generation. Use of simulation for option pricing. Variance reduction methods. Stochastic programming, coherent risk measures and value at risk.
Entry Requirements
Pre-requisites Students MUST have passed: Foundations of Calculus (MATH08005) AND Several Variable Calculus (MATH08006) AND Linear Algebra (MATH08007) AND Methods of Applied Mathematics (MATH08035) AND Probability (Year 2) (MATH08008) AND
Co-requisites
Prohibited Combinations Other requirements None
Additional Costs None
Information for Visiting Students
Pre-requisites None
Displayed in Visiting Students Prospectus? Yes
Course Delivery Information
Delivery period: 2010/11 Semester 2, Not available to visiting students (SS1) WebCT enabled:  Yes Quota:  None
Location Activity Description Weeks Monday Tuesday Wednesday Thursday Friday
King's BuildingsLecture1-11 15:00 - 17:00
First Class Week 1, Tuesday, 15:00 - 17:00, Zone: King's Buildings. Room 5215, JCMB
Exam Information
Exam Diet Paper Name Hours:Minutes Stationery Requirements Comments
Main Exam Diet S2 (April/May)2:0020 sides / 2 x graph paper. No YAFc/w MATH11083
Summary of Intended Learning Outcomes
1. Understanding of Monte Carlo methods
2. Ability to simulate random numbers from standard distributions
3. Ability to numerically price some basic options
4. Understanding of variance-reduction techniques
5. Familiarity with stochastic programming
6. Understanding of coherent risk measures and Value at Risk (VaR)
Assessment Information
Examination only.
Special Arrangements
None
Additional Information
Academic description Not entered
Syllabus Not entered
Transferable skills Not entered
Reading list Not entered
Study Abroad Not entered
Study Pattern Not entered
Keywords Sim
Contacts
Course organiser Dr Tom Mackay
Tel: (0131 6)50 5058
Email: T.Mackay@ed.ac.uk
Course secretary Mrs Alison Fairgrieve
Tel: (0131 6)50 6427
Email: Alison.Fairgrieve@ed.ac.uk
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copyright 2011 The University of Edinburgh - 31 January 2011 7:59 am