Studyinfo subject ØAMET2200 2021 HØST
ØAMET2200 Business Decision-Making Using Data Course description
- Course name in Norwegian
- Business Decision-Making Using Data
- Study programme
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Bachelorstudium i økonomi og administrasjon
- Weight
- 7.5 ECTS
- Year of study
- 2021/2022
- Curriculum
-
FALL
2021
- Schedule
- Programme description
- Course history
-
Introduction
This course aims to provide students with an understanding of how data and statistical analysis can improve economic, managerial and business decision making. Students will learn how to develop empirical questions, collect and organize relevant quantitative data, apply appropriate statistical methods, and ultimately, make better business and policy decisions. The course will draw on a wide range of business and economic applications, such as finance, advertising, internet retailing, and human resources.
The tuition is in English.
Recommended preliminary courses
ØAMET1100 Statistics or equivalent.
Required preliminary courses
No prerequisites.
Learning outcomes
After completing the course, students will acquired the learning outcomes defined in knowledge, skills and general competence:
Knowledge
The student has
- a theoretical understanding of quantitative methods for analyzing data
- an understanding of the role of empirical evidence in evaluating economic, managerial, and business problems
- an understanding of the strengths and weaknesses of different statistical methods
Skills
The student can
- formulate empirical questions
- gather, obtain, and organize quantitative data
- conduct statistical analysis using software
- interpret statistical results
General Competence
The student can
- think critically and understand the role of assumptions in arguments
- communicate effectively about economic, managerial, and business issues
- develop a well-organized argument that states assumptions and hypothesis, which are supported by evidence
- use and appropriately cite different data sources
Content
Teaching and learning methods
The course will be taught through lectures and in-class exercises. The course will also make use of software for data analysis.
Course requirements
In order to be able to register for the exam, the student must have the following approved work requirements:
There will be five problem sets. Problem sets may be submitted individually or in groups of up to four students. All five problem sets must be approved before the student can take the final exam. If a problem set is not approved on the first attempt, the student will be allowed to re-submit the problem set once. Further information regarding submission and due dates will be provided during the semester.
Assessment
An individual, written 4-hour exam will be held at the end of the semester.
Permitted exam materials and equipment
A list of reference aids allowed will be published on our website.
Grading scale
Letter grading A - F.
Examiners
The exam papers will be assessed by an internal and an external examiner. A selection of at least 25% of the exam papers will be assessed by two examiners. The grades awarded to exam papers assessed by the external and internal examiner will be used to determine the level of all exam papers.