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
|
Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
|
Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
Course Delivery Information
|
| Academic year 2019/20, Not available to visiting students (SS1)
|
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 )
|
| Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
|
| 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.
|
Additional Information
| Graduate Attributes and Skills |
Not entered |
| Keywords | migsaa,statistics |
Contacts
| Course organiser | Prof A Carbery
Tel: (0131 6)50 5993
Email: |
Course secretary | Ms Isabelle Hanlon
Tel: (0131 6)50 5955
Email: |
|
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