course-details-portlet

GEOG3006 - Quantitative Methods

About

Examination arrangement

Examination arrangement: Assignment
Grade: Letter grades

Evaluation Weighting Duration Grade deviation Examination aids
Assignment 100/100

Course content

The course gives an introduction to fundamental concepts in statistical analysis, with a focus on statistical inference, where we draw conclusions about populations from sample data. The course is practical, which means that students will be introduced to different statistical methods and sets of data that we analyze using these methods. The course introduces students to a quantitative software called R. It is an open-source software with an extensive library of statistical functions. Students will get familiarized with this software through computer labs which run in parallel with the lectures. The grade from the course will be based on a written term paper. The term paper may be based on data that are supplied by the course administrators or students may choose to use their own data. To increase the potential value of this course, students are encouraged to make the term paper methodically and thematically relevant to their master thesis.

Learning outcome

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

Knowledge

  • has advanced understanding of methodological principles, core concepts and techniques in quantitative research
  • has theoretical as well as practical understanding of fundamental concepts of statistical analysis

Skills

  • can discuss, apply and assess quantitative methods in relation to a chosen research design
  • can collect and analyse own data
  • can critically assess secondary data sources

General competence

  • is able to use the statistical software R
  • can apply relevant theories and concepts in discussions of research methodology
  • can independently plan a project's research design and apply appropriate research methods

Learning methods and activities

Up to 20 hours lectures and up to 20 hours computer labs.

It is expected that compulsory assignments and examinations must be completed in English. Exceptions may be granted on a case by case basis in consultation with the lecturer responsible for the course.

Compulsory assignments

  • Hand in

Further on evaluation

The compulsory assignments must be completed and approved in order to be eligible to take the exam. The examination in this course is an individual term paper (worth 100% of the final grade).

Same form of examination is given when re-sitting for the exam or improving the grade. The exam is offered both in the autumn and spring semester.

Required previous knowledge

Bachelor degree or equivalent. Other relevant qualifications may be accepted by the Department of Geography.

Credit reductions

Course code Reduction From To
GEOG3002 7.5 AUTUMN 2008
GEOG3052 7.5 AUTUMN 2008
GEOG3004 7.5 AUTUMN 2008
AFR3002 7.5 AUTUMN 2008
AFR3005 7.5 AUTUMN 2008
More on the course

No

Facts

Version: 1
Credits:  7.5 SP
Study level: Second degree level

Coursework

Term no.: 1
Teaching semester:  AUTUMN 2024

Language of instruction: English

Location: Trondheim

Subject area(s)
  • Geography
  • Social Sciences
Contact information
Course coordinator:

Department with academic responsibility
Department of Geography

Timetable

List view
Calendar view

Examination

Examination arrangement: Assignment

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Autumn ORD Assignment 100/100

Release
2024-11-18

Submission
2024-12-02


09:00


12:00

INSPERA
Room Building Number of candidates
Spring ORD Assignment 100/100

Release
2025-04-21

Submission
2025-05-05


09:00


12:00

INSPERA
Room Building Number of candidates
  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
Examination

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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