course-details-portlet

AM521817

Data analysis

Choose study year
Credits 7.5
Level Second degree level
Course start Spring 2024
Duration 1 semester
Language of instruction English
Location Ålesund
Examination arrangement Home examination and written examination

About

About the course

Course content

  • Research process and planning
  • Analyses of variance and cross-table analysis
  • Cluster analysis
  • Factor analysis
  • Conjoint analysis
  • Linear multiple regression analysis
  • Ordinary least squares method (OLS), Gauss Markov Theorem, OLS assumptions
  • Hypothesis testing and critical evaluation of results
  • Logistic regression
  • Introduction to structural equation modelling
  • Communicating research results
  • Use of Python or SPSS

Learning outcome

Knowledge:

  • Master the terminology of the subject.
  • Acquire comprehensive knowledge of basic statistical methods.
  • Acquire general knowledge about the ethical norms of research.
  • Knowledge of presentation and reporting techniques.

Skills:

  • Be able to undertake an independent, small-scale research project in accordance with prevailing scientific ethical norms, using Python.
  • Be able to select and master relevant statistical tools according to research questions and the formulated hypotheses.
  • Be able to communicate research problems, analyses, and conclusions, as well as acquire a basis for communicating more comprehensive scientific work.

General competence:

  • Be able to apply the topics of this course in a larger business/economic professional perspective.
  • Be able to apply the topics of this course in a larger social perspective.
  • Be able to acquire updated knowledge within the above mentioned areas of knowledge and skills.
  • Be able to critically present the uncertainty of results based on different statistical methods.

Learning methods and activities

Lectures, discussions in groups and in plenary.

Compulsory assignments

  • Statistic exercises

Further on evaluation

Mandatory Assignments:

Two individual statistical exercises must be handed in and approved in order for candidates to be allowed to take the final exams. Previously approved mandatory assignments are valid until there are significant changes in the subject.

Students are entitled to re-sit only the part of the examination in which they have had legitimate reasons for an absence or have failed. A re-sit examination will take place only during the designated period for re-sit examinations. To be awarded a grade, both exams must be passed. Students are entitled to take only the part of the ordinary examination in which they have failed or want to improve. They do not need to retake all parts of the examination.

Required previous knowledge

As for the study programme.

Course materials

To be announced at the start of the term

Credit reductions

Course code Reduction From
AM521412 7.5 sp Spring 2024
This course has academic overlap with the course in the table above. If you take overlapping courses, you will receive a credit reduction in the course where you have the lowest grade. If the grades are the same, the reduction will be applied to the course completed most recently.

Subject areas

  • Economics and Administration

Contact information

Course coordinator

Department with academic responsibility

Department of International Business