Undergraduate Course: Statistical Methodology (MATH10095)
Course Outline
| School | School of Mathematics |
College | College of Science and Engineering |
| Credit level (Normal year taken) | SCQF Level 10 (Year 3 Undergraduate) |
Availability | Available to all students |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | This course provides many of the underlying concepts and theory for Likelihood based statistical analyses, and is required for further Year 3-5 courses in Statistics. |
| Course description |
Topics to be covered include :
- likelihood function;
- maximum likelihood estimation;
- posterior density and Bayes theorem;
- Fisher's method of scoring;
- likelihood ratio tests; and
- normal linear models.
|
Information for Visiting Students
| Pre-requisites | Visiting students are advised to check that they have studied the material covered in the syllabus of any pre-requisite course listed above before enrolling. |
| High Demand Course? |
Yes |
Course Delivery Information
|
| Academic year 2019/20, Available to all students (SV1)
|
Quota: None |
| Course Start |
Semester 1 |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Lecture Hours 22,
Seminar/Tutorial Hours 5,
Summative Assessment Hours 2,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
69 )
|
| Assessment (Further Info) |
Written Exam
95 %,
Coursework
5 %,
Practical Exam
0 %
|
| Additional Information (Assessment) |
Coursework 5%; Examination 95% |
| Feedback |
Not entered |
| Exam Information |
| Exam Diet |
Paper Name |
Hours & Minutes |
|
| Main Exam Diet S1 (December) | | 2:00 | |
Learning Outcomes
On completion of this course, the student will be able to:
- Apply likelihood-based methods to derive estimates, confidence intervals and conduct hypothesis tests.
- Fit normal linear models to data, understand the assumptions of the model and have the ability to recognise special cases.
- Analyse data and interpret results of statistical analyses.
- Conduct analyses using R.
|
Reading List
| Core statistics. Simon Wood. Cambridge University Press. |
Additional Information
| Graduate Attributes and Skills |
Not entered |
| Keywords | StMe,Statistics |
Contacts
| Course organiser | Dr Serveh Sharifi Far
Tel: (0131 6)50 5051
Email: Serveh.Sharifi@ed.ac.uk |
Course secretary | Miss Sarah McDonald
Tel: (0131 6)50 5043
Email: sarah.a.mcdonald@ed.ac.uk |
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