Undergraduate Course: Decision-Making under Uncertainty (BUST10013)
Course Outline
School |
Business School |
College |
College of Humanities and Social Science |
Course type |
Standard |
Availability |
Available to all students |
Credit level (Normal year taken) |
SCQF Level 10 (Year 3 Undergraduate) |
Credits |
20 |
Home subject area |
Business Studies |
Other subject area |
None |
Course website |
None
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Taught in Gaelic? |
No |
Course description |
Methods for decision making under uncertainty: topics from stochastic programming, probabilistic dynamic programming, Markov processes and decision theory, with applications. |
Entry Requirements
Pre-requisites |
Students MUST have passed:
|
Co-requisites |
|
Prohibited Combinations |
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Other requirements |
Pre-requisite: Business Studies Honours entry.
Note: For Economics with Management Science, and Mathematics and Business Studies programmes EITHER Mathematical Programming (BUST10011) OR Decision Making Under Uncertainty is a mandatory course in Year 4.
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Additional Costs |
None |
Information for Visiting Students
Pre-requisites |
Visiting students should have at least 3 Business Studies/Management courses at grade B or above (or be predicted to obtain this). We will only consider University/College level courses.
|
Displayed in Visiting Students Prospectus? |
Yes |
Course Delivery Information
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Delivery period: 2010/11 Semester 1, Available to all students (SV1)
|
WebCT enabled: Yes |
Quota: None |
Location |
Activity |
Description |
Weeks |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
Central | Lecture | | 1-11 | | 16:10 - 18:00 | | | |
First Class |
Week 1, Tuesday, 16:10 - 18:00, Zone: Central. LT1, Appleton Tower |
Exam Information |
Exam Diet |
Paper Name |
Hours:Minutes |
Stationery Requirements |
Comments |
Main Exam Diet S2 (April/May) | | 2:00 | 2 x 8 sides / 1 x graph | |
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Delivery period: 2010/11 Semester 1, Part-year visiting students only (VV1)
|
WebCT enabled: No |
Quota: None |
Location |
Activity |
Description |
Weeks |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
Central | Lecture | | 1-11 | | 16:10 - 18:00 | | | |
First Class |
Week 1, Tuesday, 16:10 - 18:00, Zone: Central. LT1, Appleton Tower |
No Exam Information |
Summary of Intended Learning Outcomes
Objectives/Learning Outcomes
Knowledge & Understanding
On completion of the course students should:
a) be able to discuss critically the practical use of the techniques covered;
b) be able to use the modelling techniques covered to structure management problems;
c) be able to solve models built using the techniques covered;
d) be able to make inferences about a management problem based on the solution of a model built using the techniques covered.
Cognitive Skills
On completion of the course students should:
a) demonstrate that they can identify which of the techniques covered is most suitable for a management problem;
b) demonstrate that they can discuss the results of their analysis of a management problem in written reports.
Key Skills
On completion of the course students should:
a) demonstrate that they can build and analyse a model of a real world management problem involving uncertainty;
b) demonstrate their ability to apply their computer skills to support the analysis of a management problem involving uncertainty;
c) demonstrate that they can present the findings of a quantitative analysis in a concise written report.
Subject Specific Skills
On completion of the course students should:
a) have developed their modelling skills. |
Assessment Information
One project on Markov decision processes 30%; final degree exam 70%
Visiting Student Variant Assessment
One project on Markov decision processes 50% and one essay (min 3,000 words) 50%. |
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 |
Not entered |
Contacts
Course organiser |
Dr Tom Archibald
Tel: (0131 6)50 4604
Email: T.Archibald@ed.ac.uk |
Course secretary |
Ms Patricia Ward-Scaltsas
Tel: (0131 6)50 3823
Email: Patricia.Ward-Scaltsas@ed.ac.uk |
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copyright 2011 The University of Edinburgh -
31 January 2011 7:23 am
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