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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2010/2011
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DRPS : Course Catalogue : School of Mathematics : Mathematics

Undergraduate Course: Project in Statistics (Double) (MATH10012)

Course Outline
School School of Mathematics College College of Science and Engineering
Course type Standard Availability Not available to visiting students
Credit level (Normal year taken) SCQF Level 10 (Year 4 Undergraduate) Credits 40
Home subject area Mathematics Other subject area Specialist Mathematics & Statistics (Honours)
Course website http://student.maths.ed.ac.uk Taught in Gaelic? No
Course description Project for Combined Honours Degrees involving Statistics.
Entry Requirements
Pre-requisites Co-requisites
Prohibited Combinations Students MUST NOT also be taking Project in Statistics (Single) (MATH10032) OR Project in Mathematics (Double) (MATH10031) OR Project in Mathematics (Single) (MATH10029) OR Project in Mathematics (Group) (MATH10030)
Other requirements None
Additional Costs None
Course Delivery Information
Delivery period: 2010/11 Full Year, Not available to visiting students (SS1) WebCT enabled:  Yes Quota:  None
Location Activity Description Weeks Monday Tuesday Wednesday Thursday Friday
No Classes have been defined for this Course
First Class First class information not currently available
No Exam Information
Summary of Intended Learning Outcomes
Learning Objectives
1. To allow students to gain some experience in statistical investigations/research, building on that learned in MAT-3-MCC.
2. To enhance students' abilities to communicate statistical ideas through written and spoken word.
3. To encourage independent thought and enhance students' critical faculties, both of their own and other peoples' work.
4. To gain experience of a longer project investigation than is possible in an individual project, often exploring the connection between mathematics and some other discipline.

Outcomes
1. Students will become more confident in reading statistical papers, performing literature searches, summarizing knowledge in a topic area.
2. Students become better at carrying out statistical analyses and computational work, posing their own questions, planning a study, all with limited direction from an academic supervisor.
3. Students become more proficient at writing up statistical work.
4. Students become better at presenting statistical work through oral presentations.
5. Students gain experience of mathematical typesetting.
Assessment Information
Coursework only.
Special Arrangements
None
Additional Information
Academic description Not entered
Syllabus Not entered
Transferable skills Not entered
Reading list Not entered
Study Abroad Not entered
Study Pattern Not entered
Keywords DSP
Contacts
Course organiser Dr Tom Mackay
Tel: (0131 6)50 5058
Email: T.Mackay@ed.ac.uk
Course secretary Mrs Alison Fairgrieve
Tel: (0131 6)50 6427
Email: Alison.Fairgrieve@ed.ac.uk
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copyright 2011 The University of Edinburgh - 31 January 2011 7:59 am