Postgraduate Course: Computing for Statistics (MATH11117)

Course Outline
School	School of Mathematics	College	College of Science and Engineering
Credit level (Normal year taken)	SCQF Level 11 (Postgraduate)	Availability	Not available to visiting students
SCQF Credits	5	ECTS Credits	2.5
Summary	- Statistical modelling and motivation. - Statistical computation using specialised software. - Develops models and methods of regression modelling. - Practical aspects of statistical modelling. - Data analysis.
Course description	Not entered

Entry Requirements (not applicable to Visiting Students)
Pre-requisites		Co-requisites
Prohibited Combinations		Other requirements	None

Course Delivery Information

Academic year 2015/16, Not available to visiting students (SS1)		Quota: None
Course Start	Semester 2
Timetable	Timetable
Learning and Teaching activities (Further Info)	Total Hours: 50 ( Lecture Hours 3, Seminar/Tutorial Hours 16, Programme Level Learning and Teaching Hours 1, Directed Learning and Independent Learning Hours 30 )
Assessment (Further Info)	Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
Additional Information (Assessment)	See 'Breakdown of Assessment Methods' and 'Additional Notes', above.
Feedback	Not entered
No Exam Information

Learning Outcomes
1. Familiarity with statistical modelling. 2. Ability to use specialised statistical software for data analysis, particularly regression analysis and analysis of variance. 3. Ability to interpret the results of statistical analyses. 4. Develop skills in applied statistics.