Postgraduate Course: MIGS: Regression and Simulation Methods (MATH11217)
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 will cover the following-
- Introduction to R
- Linear models
- Likelihood methods and optimisation
- Generalised linear models
- Simulation and bootstrapping
- Case study |
Course description |
The aim is to learn new things to get a broad education in the area as a basis for a wide range of PhD projects and for post-PhD employment. Unless otherwise noted, the details of the content of these courses can be found on the Scottish Mathematical Sciences Training Centre web site www.smstc.ac.uk
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Entry Requirements (not applicable to Visiting Students)
Pre-requisites |
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Co-requisites | |
Prohibited Combinations | |
Other requirements | Students wishing to enrol on this course must contact generalenquiries@smstc.ac.uk for further information. |
Course Delivery Information
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Academic year 2023/24, Not available to visiting students (SS1)
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Quota: 10 |
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 )
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Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
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Additional Information (Assessment) |
100% coursework |
Feedback |
Not entered |
No Exam Information |
Learning Outcomes
Gain an introductory understanding of some key topics which lie at the heart of research in statistical methods and form a basis for more advanced and sophisticated ideas.
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Additional Information
Graduate Attributes and Skills |
Not entered |
Keywords | Not entered |
Contacts
Course organiser | Prof Benedict Leimkuhler
Tel:
Email: B.Leimkuhler@ed.ac.uk |
Course secretary | Mrs Katy Cameron
Tel:
Email: Katy.Cameron@ed.ac.uk |
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