Classification and Analysis of Categorical Data
The course covers models for categorical data, twoway and multiway contingency tables, homogeneity and independence. In particular, generalized linear models for discrete data (including logistic regression and loglinear models) with respect to regression, classification and diagnostics, are studied.
This course replaces the course Categorical Data Analysis from the autumn 2025.
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Course structure
The course consists of two modules, theory and computer assignments.
Teaching format
Instruction is given in the form of lectures, exercise sessions, computer assignments and seminars. Some instruction is mandatory, see below under Assessment.
Assessment
The course is assessed through written examination and written reports on computer assignments.
In order to pass the course, mandatory seminars must be attended.
Examiner
A list of examiners can be found on
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Schedule
The schedule will be available no later than one month before the start of the course. We do not recommend print-outs as changes can occur. At the start of the course, your department will advise where you can find your schedule during the course. -
Course literature
Note that the course literature can be changed up to two months before the start of the course. -
Course reports
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More information
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Contact
