Course - Quantitative Methods - GEOG3006
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.
Recommended previous knowledge
Bachelor degree with quantitative course in methods.
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 |
No
Version: 1
Credits:
7.5 SP
Study level: Second degree level
Term no.: 1
Teaching semester: AUTUMN 2024
Language of instruction: English
Location: Trondheim
- Geography
- Social Sciences
Department with academic responsibility
Department of Geography
Examination
Examination arrangement: Assignment
- Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
-
Autumn
ORD
Assignment
100/100
Release
2024-11-18Submission
2024-12-02
09:00
INSPERA
12:00 -
Room Building Number of candidates - Spring ORD Assignment 100/100 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.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"