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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2014/2015
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DRPS : Course Catalogue : School of Mathematics : Mathematics

Undergraduate Course: Statistical Communication Skills (MATH10070)

Course Outline
SchoolSchool of Mathematics CollegeCollege of Science and Engineering
Credit level (Normal year taken)SCQF Level 10 (Year 3 Undergraduate) AvailabilityAvailable to all students
SCQF Credits10 ECTS Credits5
SummaryCompulsory course for the Honours Degrees in Mathematics & Statistics and Economics & Statistics.

Use of the R language for statistical modelling and graphics, particularly for regression and one-way and two-way analysis of variance; writing and presenting statistics; project work.
Course description Linear statistical models and residual analyses in the R language.
One-way analysis of variance.
Two-way analysis of variance with replication.
Two-way analysis of variance without replication.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Students MUST have passed: Linear Statistical Modelling (MATH10005) AND Statistics (Year 2) (MATH08051)
Co-requisites Students MUST also take: Likelihood (MATH10004)
Prohibited Combinations Students MUST NOT also be taking Mathematical Computation & Communication Skills (MATH10006) OR Mathematical Computation & Communication Skills (Statistics) (MATH10056) OR Mathematical Computation & Communication Skills (Combined Degrees) (MATH10054) OR Data Analysis (MATH10011)
Other requirements None
Information for Visiting Students
Pre-requisitesNone
Course Delivery Information
Academic year 2014/15, Available to all students (SV1) Quota:  None
Course Start Semester 2
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 100 ( Lecture Hours 4, Seminar/Tutorial Hours 20, Programme Level Learning and Teaching Hours 2, Directed Learning and Independent Learning Hours 74 )
Assessment (Further Info) Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
Additional Information (Assessment) Coursework 100%
Feedback Not entered
No Exam Information
Learning Outcomes
Ability to
1. use the R language to fit regression and analysis-of-variance models, to examine residuals from such models, and to investigate transformations of data
2. present a typeset report of a small statistical project
3. deliver an oral presentation
Reading List
Recommended, not essential:

(1) Montgomery, D.C., Design and Analysis of Experiments, Wiley, 2005.
Montgomery, D.C., Design and Analysis of Experiments, Wiley, 2005. ISBN: 9781118097939
http://bookshop.blackwell.co.uk/jsp/id/Design_and_Analysis_of_Experiments/9781118097939

(2) Cox, D.R., Planning of Experiments, Wiley, 1958. £92.95 ISBN: 9780471574293 New Edition in Print (1958 edition out of print)
http://bookshop.blackwell.co.uk/jsp/id/Planning_of_Experiments/9780471574293

(3)Krzanowski, W., An Introduction to Statistical Modelling, Arnold, 1998.
£31.50 ISBN: 9780470711019 New Edition
http://bookshop.blackwell.co.uk/jsp/display_product_info.jsp?isbn=9780470711019
Additional Information
Graduate Attributes and Skills Not entered
Study Abroad Not Applicable.
KeywordsSCS
Contacts
Course organiserDr Bruce Worton
Tel: (0131 6)50 4884
Email: Bruce.Worton@ed.ac.uk		 Course secretaryMrs Kathryn Mcphail
Tel: (0131 6)50 4885
Email: k.mcphail@ed.ac.uk
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