Undergraduate Course: Probability (Year 2) (MATH08008)
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 8 (Year 2 Undergraduate) |
Credits | 10 |
| Home subject area | Mathematics |
Other subject area | Specialist Mathematics & Statistics (Year 2) |
| Course website |
https://info.maths.ed.ac.uk/teaching.html |
Taught in Gaelic? | No |
| Course description | Compulsory second year course for Single Honours Degree in Mathematics and Honours Degrees including Statistics.
Syllabus summary: Finite probability spaces, conditional probability, Bayes's Theorem, independence of events. Discrete random variables, probability distributions, expectation and variance, bivariate distributions, probability generating functions. Continuous random variables, probability density functions, moment generating functions. Sums of independent random variables, weak law of large numbers and the Central Limit Theorem. Elementary stochastic processes and application to gambler's ruin. |
Information for Visiting Students
| Pre-requisites | None |
| 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: 221 |
| Location |
Activity |
Description |
Weeks |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
| King's Buildings | Lecture | Th A, JCMB | 1-11 | | | | | 11:10 - 12:00 | | King's Buildings | Lecture | Th A, JCMB | 1-11 | | 11:10 - 12:00 | | | |
| First Class |
First class information not currently available |
| Additional information |
Tutorials: one of Th 1500 or 1610-1700, Fri 1000 |
| Exam Information |
| Exam Diet |
Paper Name |
Hours:Minutes |
|
|
| Main Exam Diet S1 (December) | Probability (Year 2) | 2:00 | | | | Resit Exam Diet (August) | | 2:00 | | |
Summary of Intended Learning Outcomes
1. Understanding ideas of independence, dependence and conditional probability.
2. Understanding the nature of random variables, both continuous and discrete, and their probability distributions.
3. Understanding the behaviour of sums of independent random variables and their applications.
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Assessment Information
Coursework: 15%; Degree Examination: 85%.
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Special Arrangements
| None |
Additional Information
| Academic description |
Not entered |
| Syllabus |
Not entered |
| Transferable skills |
Not entered |
| Reading list |
Available on-line at:
http://bookshop.blackwell.co.uk/jsp/readinglists/displaylist.jsp?fm_course=33335 |
| Study Abroad |
Not entered |
| Study Pattern |
Not entered |
| Keywords | Prb2 |
Contacts
| Course organiser | Dr Nikolaos Bournaveas
Tel: (0131 6)50 5063
Email: |
Course secretary | Mr Martin Delaney
Tel: (0131 6)50 6427
Email: |
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