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 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.
Entry Requirements (not applicable to Visiting Students)
||Other requirements|| None
Information for Visiting Students
|High Demand Course?
Course Delivery Information
|Academic year 2022/23, 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)
||2 x Assessed Quizzes (20%)
2 x In Course Assignments (Total 30%)
1 x 2 hour examination (50%)
||Hours & Minutes
|Main Exam Diet S1 (December)||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 and bioinformatic 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'.
|Graduate Attributes and Skills
|Course organiser||Dr Cei Abreu-Goodger
|Course secretary||Miss Zofia Bekas
Tel: (0131 6)50 5513