Kursussøgning, efter- og videreuddannelse – Københavns Universitet

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Kursussøgning, efter- og videreuddannelse

Discrete Models (DisMod)

Practical information
Study year 2016/2017
Time
Block 1
Programme level Full Degree Master
ECTS 7,5 ECTS
Course responsible
  • Søren Wengel Mogensen
  • Department of Mathematical Sciences
Course number: NMAK11005U

Course content

Introduction to and analysis of a number of statistical models for discrete response variables: contingency tables, loglinear models, graphical models, smooth hypotheses in the multinomial distribution, Poisson regression, logistic regression and proportional-odds models, survey sampling.

Learning outcome

Knowledge
At the end of the course the student will have knowledge about different types of discrete models, the mathematical relationships between them, and basic statistical properties of the models. The student will have the knowledge to
* explain the asymptotic test theory for models for contingency tables,
* explain the logistic regression model, in the fundamental version for binary responses, as well as in the modifications for response variables with several possible outcomes
* explain the theory for stratified survey sampling and multistage survey sampling
* explain fundamental concepts within the theory of graphical models

Skills
The student will acquire the skills to apply discrete models to real data, decide on which model to use and which analysis to perform. The student will have the skills to utilize theoretical results in the practical analysis, including how complex models can be specified by use of several covariates.

Competencies
At the end of the course the students will have the competence to
* carry out the analysis of 2-way and, more generally, k-way contingency tables, theoretically as well as in practice.
* carry out practical analysis of simple graphical models.
* conduct the practical analysis of complex regression models with response variables with a small number of possible outcomes.
* carry out practical survey analysis in simple situations.

 

 

Recommended prerequisites

Statistik 2 (Stat2) or similar.

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Education

MSc Programme in Statistics
 

Studyboard

Study Board of Mathematics and Computer Science

Course type

Single subject courses (day)

Duration

1 block

Schedulegroup

B
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Teaching and learning methods

4 hours of lecturing, 4 hours of exercise classes per week for 7 weeks

Capacity

No limits

Language

English

Workload

Category Hours
Exam 45
Preparation 105
Lectures 28
Practical exercises 16
Theory exercises 12
English 206

Exam

Type of assessment

Written assignment, 3 days
3 days written take-home assignment

Aid

All aids allowed

Marking scale

7-point grading scale

Criteria for exam assessment

The student must in a satisfactory way demonstrate that he/she has mastered the learning outcome.

Censorship form

No external censorship
One internal examiner for the ordinary exam.
Several internal examiners for the oral re-exam.

Re-exam

30 minutes oral exam with 30 minutes preparation time. All aids are allowed during the preparation time and no aids are allowed during the examination.

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