6 EC
Semester 1, period 1
5224ITFM6Y
This is an advanced course on the physical, chemical, and biological processes that are of key importance for the functioning of aquatic ecosystems in freshwaters, seas, and oceans. A thorough understanding of these processes provides an essential background for further master studies in Freshwater and Marine Biology.
The course consists of lectures and seminars providing a firm theoretical background, fieldwork in Dutch lakes, in combination with analysis of field data, and a computer practical in which the impact of meteorology and climate change on lake stratification is simulated.
Topics of the lectures include:
In the seminars, students will practice how to apply physical and chemical equations to solve questions relevant for aquatic systems (e.g. how deep does light penetrate in the water column?, how much oxygen dissolves in water a great depth?, etc.)
The theory is followed by several days of practical work that consists of:
Oceanography and Marine Biology – David W. Townsend ISBN 978-0-87893-602-1. This book can be bought at the bookshop Athenaeum Boekhandel Roeterseiland, Roetersstraat 41, Amsterdam. The book can also be ordered from the webshop of the bookstore and will be sent to you free from delivery costs (http://www.athenaeum.nl/boek/?authorTitle=townsend-david-w-/oceanography-and-marine-biology--9780878936021/)
Freshwater Ecology, Concepts and Environmental Applications of Limnology (2010) 2nd Edition, Eds. Walter Dodds & Matt Whiles, Academic Press, ISBN978-0-12-374724-2.
The chapters needed for this course will be made available for you on Blackboard.
Powerpoints of lectures will be available on blackboard
Will be available through blackboard
Field guide will be available through blackboard
At the end of the master course Introduction to Freshwater and Marine Biology :
During lectures students learn the basic principles of the physical, chemical, and biological processes that are of key importance for the functioning of aquatic ecosystems in freshwaters, seas, and oceans. During fieldwork they learn to sample freshwaters, and to use standard equipment for water quality measurements. In the lab they learn to analyze field samples. During seminars students learn to apply physical and chemical calculations that have been explained in the lectures, and plot, analyze and interpret the field data they acquired. Students also learn to run, plot and interpret data from a hydrodynamical model. To be able to interpret field data and model input students need to apply knowledge from the lectures. The analysis and interpretation of field data is assessed during student presentations. Theoretical knowledge is tested during the exam.
|
Activity |
Number of hours |
|
Selfstudy |
67 |
|
Lectures |
28 |
|
Fieldwork |
24 |
|
Seminars |
22 |
|
Labwork |
8 |
|
Presentations |
8 |
|
Exam |
3 |
The programme does not have requirements concerning attendance (OER-B).
Additional requirements for this course:
Additional requirements for this course:
Attendance at lectures is highly recommended.
Attendance during practical components (fieldwork, seminars, labwork) is mandatory. The course coordinator has to be informed in case a student cannot attend one of the practical components.
| Item and weight | Details |
|
Final grade | |
|
0.25 (25%) Oral presentation | Must be ≥ 5, Allows retake |
|
0.75 (75%) Exam | Must be ≥ 5, Allows retake |
The exam material consists of sections of the books listed under 'study materials' and the powerpoint presentations of the lectures. Detailed information on exam material can be found in the welcome letter posted on blackboard.
The 'Regulations governing fraud and plagiarism for UvA students' applies to this course. This will be monitored carefully. Upon suspicion of fraud or plagiarism the Examinations Board of the programme will be informed. For the 'Regulations governing fraud and plagiarism for UvA students' see: www.uva.nl/plagiarism
| Weeknummer | Onderwerpen | Studiestof |
| 1 Lectures | see blackboard | see blackboard |
| 2 Lectures and Fieldwork | see blackboard | see blackboard |
| 3 Fieldwork, Labwork, Data analysis and Modelling | see blackboard | see blackboard |
| 4 Data analysis, Student Presentations, Exam | see blackboard | see blackboard |
The schedule for this course is published on DataNose.