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Høst 2017
FSK-3006 Model theory and data processing methods - 10 stp
The course is administrated by
Type of course
Course overlap
Course contents
Application deadline
Admission requirements
Application code: 9371
Recommended entrance requirements are BIO-3556 Fishery Biology and Harvest Technology or similar background, and basic familiarity with quantitative methods.
Objective of the course
Objective of the course
Intended learning outcomes:
Knowledge:
- apply basic quantitative methods to process, analyze, test hypotheses and visualize structured and unstructured data (e.g. generalized linear models)
- apply basic qualitative methods to process, analyze, test hypotheses and visualize structured and unstructured data (e.g. content analysis, conceptual frameworks)
- explain results of the data processing and data analysis methods that were used
- use simple models to represent systems and make forecasts
- familiarize with both academic and business-like research and development environments
Skills:
- summarize and present qualitative and quantitative data
- perform statistical analyses using different software
- practice different oral and written communication skills
General competences:
- communicate findings of analyses to support decision-making
Relevance for study program:
The course provides a practical background for scientific analysis and reporting in a multidisciplinary environment.
Language of instruction
Teaching methods
Lectures, seminars, workshops, computer labs, peer-teaching, simulations, flipped-classroom.
The learning outcomes are effectively achieved through active student participation. Students are expected to prepare before every session.
Assessment
Assessment
The course has portfolio assessment. The grading scale is A-F, where A-E is passed, and F is failed. Pass marks in the four assessment parts (each report and essay) is a requirement for successful completion of the course. The three reports together count 50% of final grade; the essay (home exam) counts 50% of final grade.
Submission of reports and essay: electronically.
Portefolio
- Written report on quantitative methods assignment
- Written report on qualitative methods assignment
- Written report on modelling assignment
- Final essay (home exam) on given topic (two weeks)
Work requirements:
Oral presentation on given topic (quantitative method, qualitative method or modelling)
Oral presentation of the essay (on given topic).
A re-sit exam will be arranged in the next semester.
Date for examination
The date for the exam can be changed. The final date will be announced at your faculty early in May and early in November.
Recommended reading/syllabus
- Berk, Kenneth; Carey, Patrick: Data analysis with Microsoft Excel. Updated for Office 2007. 2009 Brooks/Cole; Cengage Learning. Chapters 2-4, 6, 8, 9, 10.
- Creswell, John W.: Qualitative inquiry and research design. 2007 SAGE Publications. Chapter 8.
- Cumming, Geoff; Fidler, Fiona; Vaux, David L.: Error bars in experimental biology.2007 The Journal of cell biology, 177(1):7-11.
- Johnson, Burke R.; Christensen, Larry: Chapter 2. Quantitative, Qualitative, and Mixed Research, http://www.southalabama.edu/coe/bset/johnson/2lectures.htm .
- Kawulich, Barbara B.: Data analysis techniques in qualitative research. 2004 Journal of Research in Education. 14(1):96-113.
- Lofland, John; Snow, David; Anderson, Leon; Lofland, Lyn H.: Analyzing social settings. 2006 Wadsworth, Cengage Learning, Chapter 9 III - VI.
- Miles, Matthew; Huberman, Michael: Qualitative data analysis. 1994 Sage Publications. Chapter 2A and Chapter 4.
- Silverman, David (editor): Qualitative research. 2011 SAGE Publications. Chapter 15.
- Shields, Linda; Twycross, Alison: The difference between quantitative and qualitative research. 2003 Paediatric nursing, 15(9):24.
- Verdinelli, Susana; Scagnoli, Norma I.: Data display in qualitative research. 2013 International Journal of Qualitative Methods. 12(1):359-81.