Course code AOS341

AOS341 Quantitative Methods

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Showing course contents for the educational year 2019 - 2020 .

Course responsible: Dag Einar Sommervoll
ECTS credits: 5
Faculty: School of Economics and Business
Teaching language: NO
(NO=norsk, EN=Engelsk)
Limits of class size:
Teaching exam periods:
This course starts in Autumn parallel. This course has teaching/evaluation in Autumn parallel, .
Course frequency: Annually
First time: Study year 2019-2020
Course contents:
The course provides students, that are preparing for their master thesis, an insight into gathering, presenting and analyzing quantative data. Regression, statistical tests regarding effects and significans, non parametric methods, clustering are core subjects. Moreover, model formulation as well as combinations of different data sources are covered.
Learning outcome:

After the course is completed the following the student is assumed to have acquired the following know how: 


- know the use and preparation of numerical data

- know how to make and conduct a survey with numerical data

- basic knowledge regarding regression and statistical tests.

- basic knowledge regarding causation in Social Sciences

- basic knowledge regarding non parametric methods and clustering

- basic knowledge regarding statistical significans and selection bias


- be able to formulate and test hypothesis

- be able to collect and analyze data

-be able to present and visualize data

- be able to analyze and check robustness of results

General competence:

- to be able to obtain relevant numerical answers to scientific problems through use of quantitative methods.

- to be able to collect numerical data by surveys and/or other data sources (online) for use in a master thesis.

- to be able to judge the execution and results from a quantitative analysis.

Learning activities:
The course will be organised as a combination of lectures and group activities.
Teaching support:
Supervision upon request.

Selected parts of : Mattespett. Statistikk av Dag Einar Sommervoll

Notes and hand-outs.

It is assumed that the students have mathematics, statistics and scientific methods for social sciences according to the minimum requirements for Bachelor in Business and Administration or equivalent.
Recommended prerequisites:
The students would benefit from previous knowledge of excel. The course will rely on a broad spectre of data sources and analysis/visualization tools.
Mandatory activity:

One mandatory assignment. 

The assignment is evaluated "approved" or "not approved".

Approved submission is a requirement to participate in the exam.

There is no need to repeat compulsory in the event of renewed trial.

Written exam 3,5 hours. Grading A to F
Nominal workload:
150 work hours.
Entrance requirements:
The course is intended for master students at NMBU
Type of course:
One 2-hour seminar/lecture each week.
External examiner reviews the exam.
Allowed examination aids: B1 Calculator handed out, no other aids
Examination details: Written exam: A - E / F