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 2023/24, 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