Postgraduate Course: Topics in Applied Operational Research (MATH11183)

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	10	ECTS Credits	5
Summary	Most of the problems arising in Operational Research (OR) are complex, often entailing considerable uncertainty. OR can use advanced quantitative methods, modelling, problem structuring, simulation and other analytical techniques to examine assumptions, facilitate an in-depth understanding and decide on practical action. This course will follow this process in several areas of application which may change from year to year.
Course description	This course will combine the technical OR and Optimization skills with the computing and modelling techniques developed in the four central core courses in the suite of OR programmes to study several fields in which OR is applied on a daily basis. In addition to standard academic guidance, the course will feature lectures delivered by practising industry professionals. The syllabus will vary from year to year. Possible topics include - Operational Research in Production Planning - Operational Research in Telecommunications - Operational Research in Energy - Operational Research in Uplift Modelling - Operational Research in Healthcare - Operational Research in Sport - Operational Research in the Environment

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: 100 ( Lecture Hours 20, Seminar/Tutorial Hours 5, Supervised Practical/Workshop/Studio Hours 5, Programme Level Learning and Teaching Hours 2, Directed Learning and Independent Learning Hours 68 )
Assessment (Further Info)	Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
Additional Information (Assessment)	100% continuous assessment
Feedback	Not entered
No Exam Information

Learning Outcomes
On completion of this course, the student will be able to: choose appropriate modelling methodology choose appropriate software for model solution analyse modelling results present in written form the modelling and solution process, as well as the analysis of results