Res Methods & Marine Biol Field Course (C1021)
Research Methods and Marine Biology Field Course
Module C1021
Module details for 2014/15.
15 credits
FHEQ Level 4
Module Outline
There are certain skillls and methods whcih are essential for ebing a biologist. This module will introduce two sets of key skills: statistics and field biology. The use of statistics allows us to form a quantative understanding about experimental or observational data and the information we can extract from it. Identifying, sampling and studying organisms in the field enables us to understand their ecology and the selection pressures which have shaped their evolution and populations. The module will introduce the principles of statistical analyses and how to carry out many of the most useful statistical tests. It will then use field excercises and a field course focused on marine biology to introduce students to field biology, and the use of statistics to answer questions using their own data.
Module learning outcomes
Demonstrate knowledge of a range of statistical methods that are commonly used in the biological and ecological sciences, and use a modern software package to process the data and carry out statistical tests.
Be able to use a modern software package to process and carry out statistical tests of biological /ecological data.
Demonstrate the ability to identify, sample and classify some common taxa found in particular habitats.
Be able to collect, analyse and interpret simple biological data in the field.
| Type | Timing | Weighting |
|---|---|---|
| Coursework | 100.00% | |
| Coursework components. Weighted as shown below. | ||
| Portfolio | Easter Week 2 | 100.00% |
Timing
Submission deadlines may vary for different types of assignment/groups of students.
Weighting
Coursework components (if listed) total 100% of the overall coursework weighting value.
| Term | Method | Duration | Week pattern |
|---|---|---|---|
| Spring Semester | Laboratory | 2 hours | 010101000000 |
| Spring Semester | Fieldwork | 8 hours | 000000000000 |
| Spring Semester | Lecture | 1 hour | 222222100000 |
How to read the week pattern
The numbers indicate the weeks of the term and how many events take place each week.
Prof William Hughes
Assess convenor, Convenor
/profiles/297821
Prof Jeremy Niven
Assess convenor
/profiles/280331
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