Last modified: 23 Jul 2024 11:04
The aim of this course is to get an understanding of applied probability and statistics. Students will be able to handle variables of a random nature, deal with parameters of different distributions and data of scattering nature.
| Study Type | Postgraduate | Level | 5 |
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| Term | First Term | Credit Points | 15 credits (7.5 ECTS credits) |
| Campus | Aberdeen | Sustained Study | No |
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This course provides mathematical foundation of the probabilistic analysis of random variables. The course is an extension to the undergraduate level of the subject. This course is a pre-requisite for the module on Advanced Methods for Risk and Reliability Assessment.
The following modules will be covered in the course:
1. Revision of elementary concepts in statistics and probability.
2. Important uni-variate distributions.
3. The bi-variate and multi-variate normal distribution.
4. Parameter estimation and goodness-of-fit.
5. Analysis of statistical data.
6. Treatment of outliers.
7. Analysis of variance.
8. Introduction to continuous and discrete stochastic processes.
| Assessment Type | Summative | Weighting | 50 | |
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| Assessment Weeks | Feedback Weeks | |||
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| Knowledge Level | Thinking Skill | Outcome |
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| Assessment Type | Summative | Weighting | 20 | |
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| Assessment Type | Summative | Weighting | 30 | |
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| Knowledge Level | Thinking Skill | Outcome |
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There are no assessments for this course.
| Assessment Type | Summative | Weighting | ||
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| Assessment Weeks | Feedback Weeks | |||
| Feedback | ||||
| Knowledge Level | Thinking Skill | Outcome |
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| Knowledge Level | Thinking Skill | Outcome |
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| Factual | Remember | ILO’s for this course are available in the course guide. |
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