Undergraduate course

Quantitative Analysis

Level of Study


Teaching semester


Objectives and Content

The aim of the course is to introduce the main techniques of quantitative analysis employed by both physical- and human geographers, and to enable the students to use computer software in the analysis of quantitative data.


The course will cover methods that are commonly applied when analyzing quantitative data in geography. This includes descriptive statistics, probability distributions, hypothesis testing, correlation- and regression analysis, and an introduction to multivariate analysis.

Learning Outcomes

A student who has completed the course should have the following learning outcomes defined in terms of knowledge, skills and general competence:


The student

  • knows what quantitative data are, how they are collected, and how they can be applied
  • has adequate knowledge about descriptive statistics
  • possesses an overview of methods used to investigate the relationship between different types of variables and datasets
  • has basic knowledge about multivariate analysis


The student

  • knows how to present data graphically
  • can perform basic quantitative analysis using a relevant statistical software
  • can perform basic hypothesis testing
  • knows how to assess the significance of results from statistical analyses

General competence

The student

  • is familiar with the basic terms related to statistics and quantitative analysis
  • is able to do an assessment of which statistical methods are most suitable for analyzing different types of data

Required Previous Knowledge


Teaching and learning methods

One 2-hour lecture a week

In total 5-6 lectures

One 2-hour data lab/seminar a week

In total 3-4 data labs/seminars

The course will be taught in January and February, with exam in February

Compulsory Assignments and Attendance

Four-five mandatory assignments. These exercises need to be approved before the students can take their exam.

Forms of Assessment

3 hours written exam

Grading Scale

Grading A-F

Subject Overlap


Assessment Semester


Reading List

A relevant package of statistical programs will be used in data labs.

Course Evaluation

GEO204 will be evaluated minimum every third semester.


Contact Information


Exam information

  • For written exams, please note that the start time may change from 09:00 to 15:00 or vice versa until 14 days prior to the exam. The exam location will be published 14 days prior to the exam.

  • Type of assessment: Written exam

    21.02.2018, 09:00
    3 hours
    Withdrawal deadline
    Examination result announcement
    Examination system
    Digital exam