Postgraduate Course: Probability 1 (MATH11100)
Course Outline
| School | School of Mathematics | 
College | College of Science and Engineering | 
 
| Course type | Standard | 
Availability | Not available to visiting students | 
 
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) | 
Credits | 20 | 
 
| Home subject area | Mathematics | 
Other subject area | None | 
   
| Course website | 
None | 
Taught in Gaelic? | No | 
 
| Course description | *Only Postgraduate Taught students on Mathematics Degree Programmes and Undergraduate MMath Year 5 students may take this course, and selection requires the approval of the Programme Director.* 
 
This course covers several fundamental topics in probability, providing a solid and broad foundation across the spectrum of the subject. 
 
The course reviews the foundations of probability theory, discusses random variables, conditional expectations, martingales,and Markov chains. | 
 
 
Entry Requirements (not applicable to Visiting Students)
| Pre-requisites | 
 | 
Co-requisites |  | 
 
| Prohibited Combinations |  | 
Other requirements |  None | 
 
| Additional Costs |  None | 
 
 
Course Delivery Information
 |  
| Delivery period: 2014/15  Semester 1, Not available to visiting students (SS1) 
  
 | 
Learn enabled:  Yes | 
Quota:  None | 
 | 
 
Web Timetable  | 
	
Web Timetable | 
 
| Course Start Date | 
15/09/2014 | 
 
| Breakdown of Learning and Teaching activities (Further Info) | 
 
 Total Hours:
200
(
 Lecture Hours 20,
 Seminar/Tutorial Hours 10,
 Summative Assessment Hours 3,
 Programme Level Learning and Teaching Hours 4,
Directed Learning and Independent Learning Hours
163 )
 | 
 
| Additional Notes | 
 | 
 
| Breakdown of Assessment Methods (Further Info) | 
 
  Written Exam
80 %,
Coursework
20 %,
Practical Exam
0 %
 | 
 
| Exam Information | 
 
    | Exam Diet | 
    Paper Name | 
    Hours & Minutes | 
    
	 | 
  
| Main Exam Diet S2 (April/May) | MSc Probability1 | 3:00 |  |  
 
Summary of Intended Learning Outcomes 
Thorough understanding of  the theory of probability and the properties of random variables. 
 
Familiarity with  the notion of conditional expectations, martingales and Markov chains. | 
 
 
Assessment Information 
| See 'Breakdown of Assessment Methods' and 'Additional Notes', above. |  
 
Special Arrangements 
| Selection of this course requires the approval of the Programme Director. |   
 
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 | Prob1 | 
 
 
Contacts 
| Course organiser | Prof Tom Lenagan 
Tel: (0131 6)50 5078 
Email: T.Lenagan@ed.ac.uk | 
Course secretary | Mrs Frances Reid 
Tel: (0131 6)50 4883 
Email: f.c.reid@ed.ac.uk | 
   
 
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© Copyright 2014 The University of Edinburgh -  29 August 2014 4:21 am 
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