BIOS9210 – Methods of Gradient Analysis

Schedule, syllabus and examination date

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Changes in the course due to coronavirus

Autumn 2020 we plan for teaching and examinations to be conducted as described in the course description and on semester pages. However, changes may occur due to the corona situation. You will receive notifications about any changes at the semester page and/or in Canvas.

Spring 2020: Teaching and examinations was digitilized. See changes and common guidelines for exams at the MN faculty spring 2020.

Course content

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.

Learning outcome

To give the participants 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

PhD candidates from the University of Oslo should apply for classes and register for examinations through Studentweb.

If a course has limited intake capacity, priority will be given to PhD candidates who follow an individual education plan where this particular course is included. Some national researchers’ schools may have specific rules for ranking applicants for courses with limited intake capacity.

PhD candidates who have been admitted to another higher education institution must apply for a position as a visiting student within a given deadline.

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

Practical experience with R statitical software is an advantage.

Overlapping courses

Teaching

This is an intensive course. You have to meet on at least 80% of the lectures. 9000-students have more pensum litterature than 4000-students. They also have to give a 15 minutes long presentation on their own science project with main focus on methods of gradient analysis (Approved/not approved).

First lecture is mandatory. If you can not attend the first lecture, please send a note to studieinfo@ibv.uio.no, before the first lecture.

The course is only given if three or more students meet on the first lecture.

Examination

One oral exam at the end of the course.

The presentation must be approved before the student can attend the exam.

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 BIOS5210 – Methods of Gradient Analysis.

Language of examination

You may write your examination paper in Norwegian, Swedish, Danish or English.

Grading scale

Grades are awarded on a pass/fail scale. Read more about the grading system.

Resit an examination

This course offers both postponed and resit of examination. Read more:

Special examination arrangements, use of sources, explanations and appeals

See more about examinations at UiO

Last updated from FS (Common Student System) July 10, 2020 12:15:40 AM

Facts about this course

Credits
10
Level
PhD
Teaching
Spring
Examination
Spring
Teaching language
Norwegian (English on request)