Postgraduate Course: Statistics and Data Analysis (PGBI11003)
|School||School of Biological Sciences
||College||College of Science and Engineering
|Credit level (Normal year taken)||SCQF Level 11 (Postgraduate)
||Availability||Available to all students
|Summary||This is an introductory statistics course for quantitative geneticists.
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 3 in-class assignments and an open book exam.
Students are also expected to attend relevant graduate-level seminars and
quantitative genetics journal clubs.
Entry Requirements (not applicable to Visiting Students)
||Other requirements|| None
|Additional Costs|| To be met from additional MSc course fee
Information for Visiting Students
|High Demand Course?
Course Delivery Information
|Academic year 2016/17, Available to all students (SV1)
|Learning and Teaching activities (Further Info)
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
|Assessment (Further Info)
|Additional Information (Assessment)
||1 x 2 hour examination (50%)
Three assessed problem sets (15%; 15%; 20% respectively)
||Hours & Minutes
|Main Exam Diet S1 (December)||Statistics and Data Analysis||2:00|
On completion of this course, the student will be able to:
- Students who successfully complete the course will have a solid grounding in statistical methodologies required for quantitative biology.
- Students who successfully complete the course will have the requisite knowledge and experience to identify appropriate statistical approaches for analysing different types of genetic data.
- Students who successfully complete the course will be able to apply statistical methodologies correctly and interpret results carefully.
- Students who successfully complete the course will be experienced in the use of the statistical package 'R'.
- Students who successfully complete the course will have conducted and written up a data analysis project.
|Graduate Attributes and Skills
|Course organiser||Dr Jacob Moorad
Tel: (0131 6)50 5442
|Course secretary||Mrs Jennifer Morris
Tel: (0131 6)50 5513
© Copyright 2016 The University of Edinburgh - 3 February 2017 4:51 am