Statistics and Data Analysis (P01010)

? Credit Points : 20 ? SCQF Level : 11 ? Acronym : BIO-P- SDA

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 'R' or an equivalent 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 undertake a data analysis project and are also expected to attend relevant graduate-level seminars and quantitative genetics journal clubs.

Entry Requirements

none

Subject Areas

Home subject area

Postgraduate, (School of Biological Sciences, Schedule K)

Delivery Information

? Normal year taken : Postgraduate

? Delivery Period : Semester 1 (Blocks 1-2)

? Contact Teaching Time : 10 hour(s) per week for 11 weeks

All of the following classes

Type	Day	Start	End	Area
Lecture	Monday	11:10	13:00	KB

? Additional Class Information : One 3h Computer practical on Fridays (time tba depending on availability of computing labs at KB)

Summary of Intended Learning Outcomes

Students who successfully complete the course will:
1) Have a solid grounding in statistical methodologies required for quantitative biology.
2) Have the requisite knowledge and experience to identify appropriate statistical approaches for analysing different types of genetic data.
3) Be able to apply statistical methodologies correctly and interpret results carefully.
4) Be experienced in the use of the statistical package 'R'.
5) Have conducted and written up a data analysis project.