Schedule, syllabus and examination date

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Exams after the reopening

As a general rule, exams will be conducted without physical attendance in the autumn of 2021, even after the reopening. See the semester page for information about the form of examination in your course. See also more information about examination at the MN Faculty in 2021.

Course content

The course presents a survey of research methodology in modern systematics with emphasis on phylogenetic analysis based on molecular data. Different approaches to phylogenetic analysis will be dealt with: distance methods, parsimony, network algorithms, maximum likelihood and Bayesian inference. The connection between phylogeny and classification as well as a short introduction to basal nomenclature will be included.

Learning outcome

After completion of the course, you will:

  • Have basic knowledge of phylogenetic theory
  • Have knowledge of various approaches of phylogenetic analysis: distance methods, parsimony, network algorithms, maximum likelihood and bayesian analysis
  • Have knowledge of analysis tools appropriate for different kinds of data
  • Be able to carry out a phylogenetic analysis
  • Be able to interpret the results from a phylogenetic analysis in a larger context
  • Understand the basic principles for scientific naming of species (nomenclature)
  • Experience from presentation of a scientific subject to master students

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 BIO5213 and BIO9213 have joint admission. The courses have capacity for 28 students combined. Applicants are ranked by the following criteria:

1. PhD candidates and master students at the MN faculty who have the course as part of the approved curriculum.

2. Other PhD candidates and visiting PhD candidates.

3. Students with admission to single courses on master’s level and exchange students

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.

Overlapping courses

Teaching

Teaching will take place over ten weeks from the beginning of the semester and will be organised in lectures and mandatory computer exercises. The students will have to hand in a written assignment based on the computer exercises, as well as read and present a research paper on a relevant subject.

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.

Examination

Final written exam (3 Hours) will count 70% on the final grade.

Written assignment based on the computer exercises will count 30% on the final grade.

PhD students must hold a 30 minutes lecture on a relevant topic that is not already or shortly presented in the course. The topic will be decided together with the course responsible. Approved lecture is a prerequisite for taking the exam.

The examination is conducted in the digital examination system Inspera. You will need to familiarize yourself with the digital examination arrangements in Inspera.

Read more about written examinations using Inspera.

Exam attempts

It will also be counted as one of the three attempts to sit the exam for this course, if you sit the exam for the following courses: emne: BIO9210, emne: BIO4210 and emne: BIOS5213.

Examination support material

No examination support material is allowed.

Language of examination

The examination text is given in English.You may submit your response 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) Oct. 26, 2021 7:21:53 PM

Facts about this course

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