| 
 Postgraduate Course: MIGSAA Probability 1: Introduction (MATH11159)
Course Outline
| School | School of Mathematics | College | College of Science and Engineering |  
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) | Availability | Not available to visiting students |  
| SCQF Credits | 15 | ECTS Credits | 7.5 |  
 
| Summary | 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. |  
| Course description | Not entered |  
Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |  | Co-requisites |  |  
| Prohibited Combinations |  | Other requirements | None |  
Course Delivery Information
|  |  
| Academic year 2019/20, Not available to visiting students (SS1) | Quota:  None |  | Course Start | Semester 1 |  Timetable | Timetable | 
| Learning and Teaching activities (Further Info) | Total Hours:
150
(
 Lecture Hours 20,
 Programme Level Learning and Teaching Hours 3,
Directed Learning and Independent Learning Hours
127 ) |  
| Assessment (Further Info) | Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 % |  
 
| Additional Information (Assessment) | Coursework: 100% |  
| Feedback | Not entered |  
| No Exam Information |  
Learning Outcomes 
| On completion of this course, the student will be able to: 
        Thoroughly understand the theory of probability and the properties of random variables.Demonstrate familiarity with the notion of conditional expectations, martingales and Markov chains. |  
Additional Information
| Graduate Attributes and Skills | Not entered |  
| Keywords | Not entered |  
Contacts 
| Course organiser | Prof A Carbery Tel: (0131 6)50 5993
 Email:
 | Course secretary | Ms Isabelle Hanlon Tel: (0131 6)50 5955
 Email:
 |   |  |