BIO4115 – Distribution modelling
Course description
Course content
This course provides an introduction to distribution modelling and to essential data processing and analytical tools used in this field. through lectures and practical exercises the course gives an introduction to the theory of distribution modeling, critical evaluation of strengths, weaknesses, errors and uncertainties throughout the distribution modelling process, overview of data, methodology, software and useful tools, preparation for analyses and practical modelling exercises. The students shall write a mandatory project report and discuss the subject during a mandatory plenary session.
Learning outcome
The course will provide a sound theoretical understanding of the principles of distribution modelling and practical experience with some of the most important data analysis tools used in this field. Through the project report and the practical distribution modelling work and the accompanying discussion, participants will gain the ability to critically evaluate the whole process of distribution modelling.
Admission
Students who are admitted to study programmes at UiO must each semester register which courses and exams they wish to sign up for in Studentweb.
If you are not already enrolled as a student at UiO, please see our information about admission requirements and procedures.
PhD-students have to register to BIO9115 – Distribution modelling (continued).
The courses BIO4115 and BIO9115 have common admission. 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
Prerequisites
Recommended previous knowledge
BIO1000 – Elementary Biology (discontinued), BIO2100 – General Ecology (continued), BIO2150A – Biostatistics (discontinued), and BIO4021 – Methods of Gradient Analysis (continued).
The course does not provide technical training in geographical information systems (GIS). Knowledge of GIS and statistical software (R) will be an advantage.
Overlapping courses
- 5 credits overlap with BIO4110 – Ecological GIS modelling (discontinued)
- 5 credits overlap with BIO9110 – Ecological GIS modelling (discontinued)
- 10 credits overlap with BIO9115 – Distribution modelling (continued)
- 10 credits overlap with BIOS5211 – Distribution Modelling
- 10 credits overlap with BIOS9211 – Distribution Modelling
Teaching
Instruction will be provided in the form of lectures (30 hrs) and computer laboratory/ practical data laboratory exercises (30 hrs). The course includes a mandatory project report (60 hrs) providing the basis for the presentation and discussion at a mandatory final plenary presentation lasting 1-2 days (40 hrs). Attendance for all lectures and data laboratory exercises is required; although a 20% absence for special circumstances is permitted. Attendance to the first lecture and the final plenary session is mandatory and non-negotiable.
The course will be given during week 46-50 (November and December). Lectures and data laboratory exercises will be given in a concentrated block in the first half. The mandatory project report must be submitted and will be evaluated (approved/not approved) before the plenary session. Approved project reports will be made available to all participants, presented and discussed on the final plenary sessions in December.
Examination
To pass the course you have to:
?get approved mandatory participation on the lectures and the data laboratory exercises
?get approved the mandatory project report
?get approved mandatory presentation and discussion at the final plenary session
Grading scale
Grades are awarded on a pass/fail scale. Read more about the grading system.
Explanations and appeals
Resit an examination
This course offers both postponed and resit of examination. Read more:
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: BIO9115 – Distribution modelling (continued), BIOS5211 – Distribution Modelling andBIOS9211 – Distribution Modelling
Special examination arrangements
Application form, deadline and requirements for special examination arrangements.
Evaluation
The course is subject to continuous evaluation. At regular intervals we also ask students to participate in a more comprehensive evaluation.