NOTE! This course belongs to a previous semester/year
About the course
Master course for biology students and masterstudents in fishery science - The course is available as a singular course.
The course will primarily use students own data. In the beginning of the course each student should give an oral presentation of the background for their data, problems/hypothesis to be addressed. By intellectual teamwork/discussions and skilled supervising, good graphical presentations will be suggested, followed by relevant statistical analysis. Relevant statistical methods will be presented shortly in theory and practise. A short presentation of multivariate methods will be given, but a detailed and more developed introduction will be given in the PhD-course Bio-8514. The main platform for graphical presentation and statistical analysis will be the program SYSTAT, but introduction to other relevant programs could also be a possibility.
Admission requirements
Local admission, application code 9371 - - Master`s level singular course. Admission requires a Bachelor`s degree (180 ECTS) or equivalent qualification, with a major in biology of minimum 80 ECTS.
Objectives of the course
Increase master students competence in graphical presentation and statistical analysis. Theory and practical work at PC-laboratory will be given in full classes, but individual supervising will also be given. By this, students should be able to present, interpret and statistically evaluate own data. Develop their ability to critical thinking and increase interpretation skills. Students should also be able to choose, use and present results from multivariate analyses. Be able to use standard programs for presentation and statistical analysis of biological data.
Teaching methods
The course will be dominated by practical exercises at the PC-laboratory (40 h). Lectures and seminars in theory will be given (10 h), and there is an opportunity to develop this part based on feedback from the students. Students needs and wishes will to some extent decide course content. Special topics could be given as intensive lectures or PC-labs.
Language of instruction and examination
English.
Recommended reading/syllabus
Gustavii, Björn. 2008. How to write and illustrate scientific papers. 2nd ed. Cambridge University Press. 178 pp
Quinn, G.P. & M.J. Keough 2002. Experimental design and data analysis for biologists. Cambridge University Press. Handouts.
Application deadline
Concerns only admission to singular courses: Applicants from Nordic countries: 1 June for the autumn semester and 1 December for the spring semester. Exchange students and Fulbright students: 1 October for the spring semester and 15 April for the autumn semester.
Assessment
Coursework requirements: PC-exercises and two oral presentations required, one in the beginning of the course and a second presentation of the project report at the end of the course. All coursework requirements must be passed in order to take the exam.
Home exam. Grade: Passed/Failed
There will be a re-sit examination for students that did not pass the previous ordinary examination.
