BIO604 Advanced statistical methods in ecology, evolution and environmental sciences
- Studiepoeng:
- 5
- Ansvarlig avdeling:
- Fakultet for teknologi og realfag
- Emneansvarlig:
- Ane Timenes Laugen
- Undervisningssemester:
- Vår
- Undervisningsspråk:
- English, unless all participants are Norwegian.
- Varighet:
- 1 semester
Emnet er tilknyttet følgende studieprogram
- Ph.d.-program i teknologi og realfag
Undervisningsspråk
English, unless all participants are Norwegian.Forkunnskapskrav
MSc degree and basic statistical knowledge (for instance BIO403 or relevant work experience). Interested MSc students can apply to be enrolled.
Anbefalte forkunnskaper
Experience with R or another coding language such as C, Julia, or Python.
Innhold
Quantitative methods used in ecology, evolution, and environmental sciences. The contents of each iteration of the course will be given well in advance of the application deadline.
Læringsutbytte
This course is designed to provide PhD fellows with in-depth knowledge of quantitative research methods. The contents can to some degrees be tailored to the individual candidates’ needs.
After having completed the course, the students will:
- have acquired advanced knowledge within specific themes of statistical methodology in ecology, evolution, or environmental sciences
have improved their programming skills
be able to critically evaluate advantages and limitations of different statistical methods
be able to prepare teaching materials for specific topics
have implemented routines for reproducible science
Vilkår for å gå opp til eksamen
At least 90 % attendance on compulsory learning activities including student-prepared teaching materials and peer review. Details will be given in Canvas at the start of the course.
Undervisnings- og læringsformer
Lectures, seminars, and practical exercises. The students will prepare and present teaching materials for a chosen topic and will peer review each other’s materials. There is a large degree of flexibility regarding course content and methods that can be tailored to the individu More information will be given in Canvas at the start of the course.al candidate’s needs. The course will be given as an on-campus/digital hybrid. The estimated student workload in this course is 135 hours.
Studentevaluering
Emneansvarlig fastsetter i samråd med studenttillitsvalgt evalueringsform og om emnene skal ha midtveis- eller sluttevaluering i tråd med kvalitetssystemet kapittel 4.1. Informasjon om evalueringsform for emnet publiseres i Canvas.
Tilbys som enkeltemne
Yes
Opptakskrav hvis tilbudt som enkeltemne
PhD candidates. Applicants with relevant scientific background can be considered if the resources are available.
Eksamen
Individually written report and seminar based on analyses of own data. Graded pass/fail. The report must be approved in order to be able to present it at the seminar. Both partial exams must be passed. More information will be given in Canvas at the start of the course