Programmes and Modules - Course Details

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Module Title	LM Project (MORSE)
School	Mathematics
Department	Mathematics
Module Code	06 23800
Module Lead	To be appointed
Level	Masters Level
Credits	60
Semester	Semester 2
Pre-requisites	LM Applied Statistics - (06 22522) LM Statistical Methods in Economics - (06 23061) LM Statistical Inference - (06 22434) LM Integer Programming - (06 21625) LM Mathematical Finance - (06 20443)
Co-requisites
Restrictions	Students must pass a minimum of 80 credits including the modules 06 22434, New-1, 06 21625 and 06 22522 at the first attempt to proceed to project.
Exclusions
Description	This module gives the students an opportunity to carry out independent study of a topic in Operational Research or Statistics that particularly interests them. This will involve either applying or expanding the skills learned in the taught modules. It will also involve critical analysis of the problem under investigation in the context of known literature, description of the methods used or developed and presentation of the final results.
Learning Outcomes	By the end of the module the student should be able to: Demonstrate a comprehensive understanding of a number of modern statistical and operrational research techniques underpinned by a knowledge of the fundamental principles in the area; View and carry out critical analysis of a problem based on the fundamental principles of statistics or operational research; Independently plan a period of research and manage their time; Demonstrate a comprehensive understanding and apply the statistical or operational research methods; Ability to communicate mathematical, or otherwise, ideas to audience with non-mathematical background; Prepare a report at professional standard.
Assessment
Assessment Methods & Exceptions	Interim report 5% (One side of an A4 paper); Oral presentation 20% (15 min for presentation + 5 min for questions); Project report 75% (Word length of a project would vary depending on the context, however the upper limit will be 12000 words)
Other	None
Reading List