Compulsory course

Geography programme is responsible for the course

GEOG-H300

The course is not available to students from other degree programmes

The course gives the student theoretical and practical understanding of advanced quantitative analysis and modelling methods in Geography. The student will understand the quantitative research process and central methodological traditions and considerations in the field of Human and Urban Geography and Spatial Planning, learn the use of key statistical tools needed to analyze geographical data and be able to apply quantitative methods in geographical research.

The recommended time for completion is in 1. year of M.Sc. Studies

The course is offered in autumn term, period 2

The course consists of lectures and practical excersizes, which centre on theoretical and practical understanding of advanced quantitative analysis and modelling methods in Geography. There is a special focus on the quantitative research process and central methodological traditions and considerations in the field of Human and Urban Geography and Spatial Planning, learned through literature and practical examples. The practical excersizes are aimed at learning to use the key statistical tools needed to analyze geographical data and to know how to apply quantitative methods in geographical research. The course offers a methdodological base for completing a Master's Thesis using quantitative methods and data.

Literature will be provided in the course, consisting of selected chapters in methodological literature and handbooks, as well as journal articles.

The course includes a wide variety of activities supporting learning, integrated in the lectures and practical excersizes. These include e.g. problem based learning, pedagogically organized group work, discussion groups, reflective writing with a peer and peer evaluation methods.

The grading scale is 1-5. Learning diaries 60 %, group and individual work during the practicals 40 %.

Attendance in all lectures is the starting point. Late return of assignments automatically lowers your grade by 1.