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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2022/2023

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DRPS : Course Catalogue : School of Biological Sciences : Postgraduate

Postgraduate Course: Statistics and Data Analysis (PGBI11003)

Course Outline
SchoolSchool of Biological Sciences CollegeCollege of Science and Engineering
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) AvailabilityAvailable to all students
SCQF Credits20 ECTS Credits10
SummaryThis is an introductory statistics course for quantitative geneticists and bioinformaticians.
The syllabus covers probability and distribution theory, hypothesis testing,
regression, correlation, analysis of variance and variance components.
Teaching is through a combination of lectures, tutorials and computer-based
practicals, using the R statistical package. Instruction in the selection of
appropriate statistical methodologies for the analysis of genetic data
(whether from animal, plant or human populations) will be given.
Students will be required to complete four in-class assignments, of which only two will be formally assessed, two assessed quizzes, and one open book exam.
Students are also expected to attend relevant graduate-level seminars and
quantitative genetics journal clubs.
Course description Not entered
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements None
Information for Visiting Students
Pre-requisitesNone
High Demand Course? Yes
Course Delivery Information
Academic year 2022/23, Available to all students (SV1) Quota:  73
Course Start Semester 1
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 200 ( Lecture Hours 41, Supervised Practical/Workshop/Studio Hours 16, Revision Session Hours 6, Programme Level Learning and Teaching Hours 4, Directed Learning and Independent Learning Hours 133 )
Assessment (Further Info) Written Exam 50 %, Coursework 50 %, Practical Exam 0 %
Additional Information (Assessment) 2 x unassessed In Course Assignments (0%)
2 x Assessed Quizzes (20%)
2 x In Course Assignments (Total 30%)
1 x 2 hour examination (50%)
Feedback Not entered
Exam Information
Exam Diet Paper Name Hours & Minutes
Main Exam Diet S1 (December)2:00
Learning Outcomes
On completion of this course, the student will be able to:
  1. Students who successfully complete the course will have a solid grounding in statistical methodologies required for quantitative biology.
  2. Students who successfully complete the course will have the requisite knowledge and experience to identify appropriate statistical approaches for analysing different types of genetic and bioinformatic data.
  3. Students who successfully complete the course will be able to apply statistical methodologies correctly and interpret results carefully.
  4. Students who successfully complete the course will be experienced in the use of the statistical package 'R'.
Reading List
None
Additional Information
Graduate Attributes and Skills Not entered
KeywordsQGGA Stats&DA
Contacts
Course organiserDr Cei Abreu-Goodger
Tel:
Email: cei.abreu@ed.ac.uk
Course secretaryMiss Zofia Bekas
Tel: (0131 6)50 5513
Email: zofia.bekas@ed.ac.uk
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