BIOS5210 – Methods of Gradient Analysis
Changes in the course due to coronavirus
Autumn 2020 the exams of most courses at the MN Faculty will be conducted as digital home exams or oral exams, using the normal grading scale. The semester page for your course will be updated with any changes in the form of examination.
The course provides a theoretical background for the methods used for analysis of species-gradient relationships. Ordination and constrained ordination methods are particularly emphasised, and an introduction to geostatistical methods (methods for analysis of spatial structure) is given. Theory is accompanied by practicals. The participants are encouraged to bring their own data.
After completing the course the student should:
- have sufficient knowledge of gradient analysis techniques to enable them to understand and critically evaluate methodlogical usage in published papers, and to be able to analyse own data.
Admission to the course
Students admitted at UiO must apply for courses in Studentweb. Students enrolled in other Master's Degree Programmes can, on application, be admitted to the course if this is cleared by their own study programme.
Nordic citizens and applicants residing in the Nordic countries may apply to take this course as a single course student.
If you are not already enrolled as a student at UiO, please see our information about admission requirements and procedures for international applicants.
The courses BIOS5210 and BIOS9210 have joint admission. There is a total of 20 seats in these two subjects. Applicants are ranked by the following criteria:
1. PhD students and master students at the MN faculty who have the course as part of the approved curriculum.
2. Other PhD students and visiting PhD students.
3. Students with admission to single courses on master’s level and exchange students
4. Applicants are ranked by credits in each group; all applicants within 1st rank before applicants in 2nd etc. If admission is limited to a fixed number of participants, admission will be decided by drawing lots for students who are ranked equally
Recommended previous knowledge
Practical experience with R statistical software is recommended.
- 10 credits overlap with BIOS9210 – Methods of Gradient Analysis.
- 10 credits overlap with BIO4021 – Methods of Gradient Analysis (continued).
- 10 credits overlap with BIO9021 – Methods of Gradient Analysis (continued).
- software tutorials
- practical exercises
You have to meet on at least 80% of the lectures.
First lecture is mandatory. If you can not attend the first lecture, please send a note to firstname.lastname@example.org, or responsible teacher, before the first lecture.
The course is only given if three or more students meet on the first lecture.
One oral exam 4-6 weeks after the end of the course; exact time fixed by appointment with participants.
'Withdrawal from an examination
It is possible to take the exam up to 3 times. If you withdraw from the exam after the deadline or during the exam, this will be counted as an examination attempt.
It will also be counted as one of the three attempts to sit the exam for this course, if you sit the exam for one of the following courses: emneBIO4021, BIO9021 – Methods of Gradient Analysis (continued) and BIOS9210 – Methods of Gradient Analysis.
Language of examination
You may write your examination paper in Norwegian, Swedish, Danish or English.
Grades are awarded on a scale from A to F, where A is the best grade and F is a fail. Read more about the grading system.
Resit an examination
This course offers both postponed and resit of examination. Read more: