Undergraduate Course: Professional Skills in Ecological and Environmental Sciences (ECSC10032)
Course Outline
| School | School of Geosciences |
College | College of Science and Engineering |
| Credit level (Normal year taken) | SCQF Level 10 (Year 4 Undergraduate) |
Availability | Available to all students |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | Professional skills in ecological and environmental sciences include both executing good scientific practice and effectively communicating science to audiences, which may or may not be scientifically literate. Further, there are many tangential skills to being a successful ecologist or environmental scientist, such as outreach. This course will attempt to prepare students to be practicing ecologists and environmental scientists. It will cover diverse topics from scientific writing and presentation to study design and data analysis.
In addition, the course covers topics that should help you to deliver an outstanding honours project. The continuous assessment for the course will take the form of a critical appraisal of an ecological/environmental science paper in the form of a briefing for colleagues as well as demonstrated skill in conducting data analysis. The sessions on research design, science communication, data analysis, and presentation will form the basis for an examination at the end of the course.
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| Course description |
Not entered
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
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Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
| Additional Costs | None |
Information for Visiting Students
| Pre-requisites | None |
| High Demand Course? |
Yes |
Course Delivery Information
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| Academic year 2019/20, Available to all students (SV1)
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Quota: None |
| Course Start |
Semester 1 |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Lecture Hours 18,
Seminar/Tutorial Hours 3,
Supervised Practical/Workshop/Studio Hours 9,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
68 )
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| Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
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| Additional Information (Assessment) |
Course Work: 100% (Assignment 1 worth 40% and assignment 2 worth 60%.)
Intermittent: At the session on October 2nd you will be provided with a choice of two recent ecological/environmental science papers. You will be asked to read one of the papers, critically assess its merits, and write a clear and concise account of your findings as a briefing statement for the Scottish Government. Your report should be submitted online to Learn in week 7.
At the session on November 13th students will receive a statistical analysis exercise to be conducted using the R Statistical Software. This will be submitted on Monday of Revision week 1.
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| Feedback |
Students will receive feedback from staff and peers on the presentation of honours or other project plans. The briefing statements and a statistical exercise will be marked and returned with feedback. During the exam revision session in the final week of the course students will have the opportunity to discuss any aspect of the course with staff. |
| No Exam Information |
Learning Outcomes
On completion of this course, the student will be able to:
- Effectively plan and design ecological and environmental science research.
- Execute cutting edge statistical analyses and visualise data and results.
- Give a formal presentation on a specialised topic to informed audiences.
- Communicate with your peers, senior colleagues and specialists through the effective use of scientific, professional level writing and oratory.
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Reading List
R Core Team (2014) An Introduction to R. Available at http://www.r-project.org/ under manuals (documentation).
Gardener M (2011) Statistics for Ecologists Using R and Excel: Data Collection, Exploration, Analysis and Presentation, Pelagic Publishing. UK. [ebook and hard copy from the university library]
https://www.dawsonera.com/abstract/9781907807275
Emden J Van (2001) Effective communication for science and technology. Palgrave, New York.
Ford ED (2000) Scientific method for ecological research. CUP Cambridge
Gotelli NJ & Ellison AM (2013) A primer of ecological statistics. Sinauer Associates Inc, Sunderland, USA.
Hairston NG (1989) Ecological Experiments: purpose, design and execution. CUP, Cambridge
Hughes IG & Hase TPA (2010) Measurements and their uncertainty. Oxford University Press, Oxford.
O'Connor M (1991) Writing successfully in Science. Chapman & Hall, London. |
Additional Information
| Graduate Attributes and Skills |
Not entered |
| Additional Class Delivery Information |
1 three-hour session per week |
| Keywords | ECSC10017 Prof Skills in EES |
Contacts
| Course organiser | Dr Gary Watmough
Tel: (0131 6)51 4447
Email: |
Course secretary | Miss Emma Latto
Tel: (0131 6)50 5932
Email: |
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