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 | 
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 (not applicable to Visiting Students)
| Pre-requisites | 
 Students MUST have passed: 
  | 
Co-requisites |  | 
 
| Prohibited Combinations |  | 
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. | 
 
| 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. 
 
 
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| Displayed in Visiting Students Prospectus? | Yes | 
 
 
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 | 
	 
| Central | Lecture |  | 1-11 |  |  16:10 - 18:00 |  |  |  |  
| First Class | 
First class information not currently available |  
	| Additional information | 
	There will be 4 optional review tutorials: Thursdays 15.00-15.50 on 20 October, 3 November, 17 November and 1 December in 7 George Square, Room F21. | 
 
| Exam Information | 
 
    | Exam Diet | 
    Paper Name | 
    Hours:Minutes | 
    
     | 
     |  
  
| Main Exam Diet S2 (April/May) |  | 2:00 |  |  |  
 
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| Delivery period: 2012/13  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 | 
First class information not currently available |  
	| Additional information | 
	There will be 4 optional review tutorials: Thursdays 15.00-15.50 on 20 October, 3 November, 17 November and 1 December in 7 George Square, Room F21. | 
 
| 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 | DMU | 
 
 
Contacts 
| Course organiser | Dr Tom Archibald 
Tel: (0131 6)50 4604 
Email:  | 
Course secretary | Ms Patricia Ward-Scaltsas 
Tel: (0131 6)50 3823 
Email:  | 
   
 
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© Copyright 2012 The University of Edinburgh -  7 March 2012 5:41 am 
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