Application deadline

Type of course

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.

Course content

Recommended prerequisites

Objectives 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 and examination

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.

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.