Course - Data analysis - AM521817
AM521817 - Data analysis
About
Examination arrangement
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.
Specific conditions
Admission to a programme of study is required:
International Business and Marketing (860MIB)
Management of Innovation and Sustainable Business Development (MSMI)
Recommended previous knowledge
As for the study programme.
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 | To |
|---|---|---|---|
| AM521412 | 7.5 | SPRING 2024 | SUMMER |
No
Version: 1
Credits:
7.5 SP
Study level: Second degree level
Term no.: 1
Teaching semester: SPRING 2024
Language of instruction: English
Location: Ålesund
- Economics and Administration
Department with academic responsibility
Department of International Business
Examination
Examination arrangement: Home examination and written examination
- Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
- Autumn UTS Home examination 40/100 A INSPERA
-
Room Building Number of candidates -
Autumn
UTS
Home exam
60/100
Release
2023-12-08Submission
2023-12-08
09:00
INSPERA
13:00 -
Room Building Number of candidates -
Spring
ORD
Home examination
40/100
A
Release
2024-05-13Submission
2024-05-16
12:00
INSPERA
12:00 -
Room Building Number of candidates - Spring ORD School exam 60/100 E 2024-05-30 09:00 INSPERA
-
Room Building Number of candidates C218 Ankeret/Hovedbygget 0
- * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"