ØAMET2200 Business Decision-Making Using Data Course description

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.

Language of instruction is English.

Det benyttes intern og ekstern sensor til sensurering av besvarelsene.

Et uttrekk på minst 25% av besvarelsene sensureres av to sensorer. Karakterene på disse samsensurerte besvarelsene skal danne grunnlag for å fastsette nivå på resten av besvarelsene.

Emnet bygger på studentenes kunnskaper fra videregående regnskapsfaglige emner og verdsettelse. Emnet gir studenten ytterligere dybdekunnskap i å utarbeide og vurdere om et årsregnskap er i samsvar med sentrale regnskapsstandarder innenfor ulike regnskapsspråk, herunder IFRS.

Undervisningsspråk er norsk.

After completing the course, the student should have the following overall learning outcomes defined in terms of 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

The course will be taught through lectures and in-class exercises. The course will also make use of software for data analysis. 

The following coursework requirement must be approved in order for the student to take the exam:

• Coursework 1: Four problem sets containing up to five exercises with subquestions. Each problem set contains exercises based on the topics covered in the course.

The problem sets can be completed individually or in a group of up to four students. To receive approval, all exercises and subquestions must be sufficiently answered.

The purpose of the problem sets is to give students practical experience with the course materials. The problem sets also aims to help students reflect on how the methods and tools taught in the course can be applied to different business problems.  

All required coursework must be completed and approved by the given deadline in order for the student to take the exam. If one or more coursework requirements have not been approved, the student will be given one opportunity to submit an improved version by a given deadline.

Ingen arbeidskrav eller obligatoriske aktiviteter

Eksamen i emnet er en skoleeksamen på 6 timer.

Følgende hjelpemidler er tillatt:

• Revisors håndbok
• Norges Lover / særtrykk eller samlinger av lover uten kommentarer
• Skattelovsamling (Jacob Jarøy eller Ole Gjems-Onstad)
• Rente- og annuitetstabeller
• Kalkulator (se programplan for regler som gjelder bruk av kalkulator)

Gradert skala A - F