ØKA201 Dataanalyse og programmering for økonomer (Vår 2027)

Fakta om emnet

Studiepoeng:
10
Ansvarlig fakultet:
Fakultet for informasjonsteknologi, ingeniørfag og økonomi
Studiested:
Halden
Emneansvarlige:
  • Jørn Inge Halvorsen
  • Bjørnar Karlsen Kivedal
Undervisningsspråk:
English
Varighet:
½ år

Innholdsfortegnelse

Emnet er tilknyttet følgende studieprogram

Compulsory for students on

  • the Bachelor Programme in Business Administration specializing in International Business
  • the Bachelor Programme in Business Administration specializing in Economic Analysis

Elective for students on

  • the Bachelor Programme in Accounting
  • the Bachelor Programme in Business Administration specializing in Economics and Management

Anbefalte forkunnskaper

ØKA120 Statistikk og samfunnsvitenskapelig metode, eller tilsvarende

Undervisningssemester

6th semester (spring)

10th semester (spring) for part-time students

Innhold

Programming:

  • Basic programming skills useful for applied statistics and econometric analysis and for writing advanced technical reports

Applied statistics and econometrics:

  • Regression analysis and other analytical tools used in applied statistics and econometrics

Studentens læringsutbytte ved bestått emne

This subject will enable the student to achieve the following learning outcomes.

Knowledge

  • The student will have gained knowledge of basic programming skills for the creation and understanding of functions and libraries, manipulation of data, visualizations and writing and editing technical reports that consist of both code and text.
  • Perform and analyze regression analysis and other analytical tools used in applied statistics and econometrics

Skills

  • Analyze data both related to data visualization and descriptive statistics
  • The creation of fully reproducible technical reports that consists of both code and text
  • Perform regression analysis and use other statistical tools, as well as analyzing results

General competence

  • The student will be able to handle small and big data sets, as well as using tools to perform and interpret analyses

Undervisnings- og læringsformer

Students will participate in the following learning activities:

Lectures, seminars, group work, and group discussions and presentations.

Arbeidsomfang

The course will give the student approximately 280 hours of work.

Arbeidskrav - vilkår for å avlegge eksamen

Group or individual written assignment(s) will be assessed on a pass/fail basis. The assignment(s) needs to be passed in order to obtain permission to take the final exam.

Eksamen

Individual written examination on campus Four hours individual written examination on campus. Aids allowed: - calculator with empty memory, incapable of symbolic computation or wireless communication - formula list (attached to the assignment) Grades: A-F.

Sensorordning

Internal or external examination

Evaluering av emnet

To improve the course, we need the evaluations from the students. The course is evaluated each semester. The evaluations from the students are treated by the departement staff.

Litteratur

The current reading list for 2025 Spring can be found in Leganto
Sist hentet fra FS (Felles studentsystem) 4. nov. 2026 06:50:24