Postgraduate Course: MIGSAA Probability 2: Applications (MATH12007)

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 covers the application of the theory of probability to many examples appearing in several areas of science. The course includes Montecarlo simulation methods and simple stochastic differential equations.
Course description	This course covers the application of the theory of probability to many examples appearing in several areas of science. The course includes Montecarlo simulation methods and simple stochastic differential equations.

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: 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
On completion of this course, the student will be able to: Apply concepts in probability theory to physical problems such as Brownian motion. Use numerical methods to simulate the mathematical behaviour of different stochastic phenomena.