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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2017/2018

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DRPS : Course Catalogue : School of Mathematics : Mathematics

Postgraduate Course: MIGSAA Statistics 2 (MATH12020)

Course Outline
SchoolSchool of Mathematics CollegeCollege of Science and Engineering
Credit level (Normal year taken)SCQF Level 12 (Postgraduate) AvailabilityNot available to visiting students
SCQF Credits15 ECTS Credits7.5
Summary*Only students of the MIGSAA CDT may take this course*
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 2017/18, 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
To further develop students┐ understanding of some key topics at the heart of research in statistical methods.
Reading List
None
Additional Information
Graduate Attributes and Skills Not entered
Keywordsmigsaa,statistics
Contacts
Course organiserProf A Carbery
Tel: (0131 6)50 5993
Email: A.Carbery@ed.ac.uk
Course secretaryMs Isabelle Hanlon
Tel: (0131 6)50 5955
Email: i.hanlon@ed.ac.uk
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