EPN

ØAMET2200 Business Decision-Making Using Data Course description

Course name in Norwegian
Business Decision-Making Using Data
Study programme
Bachelorstudium i økonomi og administrasjon
Weight
7.5 ECTS
Year of study
2021/2022
Curriculum
FALL 2021
Schedule
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.