Postgraduate Course: MIGSAA Statistics 2 (MATH12020)
Course Outline
School | School of Mathematics |
College | College of Science and Engineering |
Credit level (Normal year taken) | SCQF Level 12 (Postgraduate) |
Availability | Not available to visiting students |
SCQF Credits | 15 |
ECTS Credits | 7.5 |
Summary | This course is intended to further develop students' understanding of some key topics at the heart of research in statistical methods. |
Course description |
This module assumes student understand basic concepts in:
- probability (elementary probability distributions)
- statistics (ideas of estimation, confidence intervals, hypothesis tests)
- calculus.
In this module students will study:
- Random effects models
- Modern regression (generalised additive models, etc)
- An introduction to MCMC methods
- Case studies
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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
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Academic year 2023/24, Not available to visiting students (SS1)
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Quota: None |
Course Start |
Semester 2 |
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) |
Coursework : 100% |
Feedback |
Not entered |
No Exam Information |
Learning Outcomes
Further develop students' understanding of some key topics at the heart of research in statistical methods.
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Additional Information
Graduate Attributes and Skills |
Not entered |
Keywords | migsaa,statistics |
Contacts
Course organiser | Prof A Carbery
Tel: (0131 6)50 5993
Email: A.Carbery@ed.ac.uk |
Course secretary | Ms Isabelle Hanlon
Tel: (0131 6)50 5955
Email: i.hanlon@ed.ac.uk |
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