Postgraduate Course: Computing for Statistics (MATH11117)
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 | 5 |
ECTS Credits | 2.5 |
Summary | - Statistical modelling and motivation.
- Statistical computation using specialised software.
- Develops models and methods of regression modelling.
- Practical aspects of statistical modelling.
- Data analysis. |
Course description |
Not entered
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Entry Requirements (not applicable to Visiting Students)
Pre-requisites |
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Co-requisites | |
Prohibited Combinations | |
Other requirements | None |
Course Delivery Information
Not being delivered |
Learning Outcomes
1. Familiarity with statistical modelling.
2. Ability to use specialised statistical software for data analysis, particularly regression analysis and analysis of variance.
3. Ability to interpret the results of statistical analyses.
4. Develop skills in applied statistics.
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Additional Information
Graduate Attributes and Skills |
Not entered |
Special Arrangements |
MSc Statistics and Operational Research students only. |
Keywords | CoS |
Contacts
Course organiser | Prof Finn Lindgren
Tel: (0131 6)50 5769
Email: Finn.Lindgren@ed.ac.uk |
Course secretary | Mrs Frances Reid
Tel: (0131 6)50 4883
Email: f.c.reid@ed.ac.uk |
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