- Professor Richard Stafford (Professor - Bournemouth University)
|Delivery Type||Delivery length / details|
|Lecture||4 x 1 Hour Lectures|
|Field Trip||5 x 8 Hour Field Trips|
|Lecture||4 x 2 Hour Lectures|
|Seminar||2 x 2 Hour Seminars|
|Assessment Type||Assessment length / details||Proportion|
|Semester Assessment||Data interpretation & presentation (max 1500 words)||15%|
|Semester Assessment||Environmental monitoring tender proposal (max 10 pages)||40%|
|Semester Assessment||Identification task (1 hour)||15%|
|Semester Assessment||Contract report (max 3000 words)||30%|
|Supplementary Assessment||Students must take elements of assessment equivalent to those that led to the failure of the module||100%|
On successful completion of this module students should be able to:
1. Demonstrate knowledge of the range of techniques used to sample shallow-water environments and their pros and cons.
2. Identify a range of organisms commonly found in shallow-water environments
3. Plan and execute research/monitoring of shallow-water environments including tender development, experimental design, execution, analysis of biological/chemical data and production of a contract report.
The module introduces you to the field of applied aquatic conservation and allows you to put into practice techniques used to monitor, conserve and undertake research in shallow-water environments. In addition to practical skills, you will also learn and put into practice important professional skills such as tender/ contract report writing, planning, executing and analyzing field-based surveys. The module will make use of IBERS research vessels.
During the field week students will get the opportunity to employ a range of techniques used for sampling shallow-water environments e.g. box coring, beam trawls, potting, habitat mapping, baited remote underwater video. This module will therefore make heavy use of the IBERS research vessels.
NOTE: the field week has to be run out of term for timetabling reasons. Also, while every effort will be made to find sheltered locations to undertake fieldwork, If the field element is blown out due to bad weather contingency is in place to ensure students are able to complete the contract report assessment through sampling intertidally, in freshwater habitats or using data collected previously.
|Skills Type||Skills details|
|Application of Number||The biological/chemical data collected will be analysed quantitatively using a variety of univariate and multivariate techniques.|
|Communication||These are target skills for this module. The course is specifically designed to encourage communication, critical thinking, and literacy in a ‘job relevant’ manner. Students will also need to demonstrate good communication during the field week as they will be working in groups to collect the data.|
|Improving own Learning and Performance||The two tutorial sessions have been specifically incorporated to provide student-led learning and also to provide formative feedback prior to submission of the experimental design and tender assessments.|
|Information Technology||Students will build competence and confidence with standard data handling and graphing tools as well as using the internet and other IT resources for assignments.|
|Personal Development and Career planning||This is a central aim of the module. Students will develop a range of skills that are attractive to employers in academia, environmental agencies, consultancies and eNGO’s.|
|Problem solving||Through all the coursework students will be challenged to identify and solve complex problems-assessed through semester assessments.|
|Research skills||For the seminars students will have assigned reading from the primary scientific literature and applied ‘grey literature’. In particular the students will have to use a broad range of sources for the portfolio, tender and contract report assessments.|
|Subject Specific Skills||Students will gain familiarity with a number of sampling techniques used to sample shallow-water environments.|
|Team work||During the seminars and field week students will be working in teams to collect their data in an effective manner.|
This module is at CQFW Level 5