Last modified: 28 Jun 2018 10:27
In a series of cases studies, you will learn how to analyse and interpret biological data to a level which will allow you to design, at least, the first stages of your level 4 honours project.
You will also choose from4-6 topics in advanced data handling techniques also pertinent to level 4 honours projects.
The course is intensive but allows you to work largely at your own pace with considerable assistance from 3-4 staff and 5-6 demonstrators.
| Study Type | Undergraduate | Level | 3 |
|---|---|---|---|
| Term | First Term | Credit Points | 15 credits (7.5 ECTS credits) |
| Campus | None. | Sustained Study | No |
| Co-ordinators |
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Review of basics of probability theory, data exploration and analysis using the linear modelling framework; depending on the option taken - fundamentals of using geographic information systems (GIS); bioinformatics and their application; statistical computing with R; multivariate statistics.
Students will attend 3 x 1hr lectures per week and 1 x 1hr practical session per week during the first 3 weeks. The second 2 weeks has a variable format depending on the choice of option. It is expected that students would spend a further 14-15 hours per week in self-study.
This course runs in weeks 7-11, and is scheduled in Thread 2, so may have contact hours in any or all of these times: Mondays, 14-18; Tuesday, all day; Friday, 14-18. If this is an optional course, there may also be contact hours on Wednesdays, 9-11.
Information on contact teaching time is available from the course guide.
1st Attempt: One 2-hour MCQ exam (25%) and continuous assessment (75%). The examination will be “open book” with MCQ answers and continuous assessment will be based on reports produced during practical sessions.
Resit: One 2-hour MCQ exam (25%) and a new assignment for the failed continuous assessment allowing the candidate to demonstrate achievement of learning outcomes (75%).
Tutorial/workshop sessions will provide opportunity for student-student and student-tutor interaction. Exercises completed during the practical sessions are supported by material that can be used for self-assessment and staff will provide informal verbal feedback during practical sessions.
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