Inference Theory

5 credits

Syllabus, Bachelor's level, 1MS002

This course has been discontinued.

A revised version of the syllabus is available.

Code: 1MS002
Education cycle: First cycle
Main field(s) of study and in-depth level: Mathematics G2F
Grading system: Pass with distinction (5), Pass with credit (4), Pass (3), Fail (U)
Finalised by: The Faculty Board of Science and Technology, 15 March 2007
Responsible department: Department of Mathematics

What is a course syllabus?

Entry requirements

Probability Theory

Learning outcomes

In order to pass the course (grade 3) the student should be able to

give an account of important concepts and definitions in inference theory;

exemplify and interpret important concepts in specific cases;

use the theory, methods and techniques of the course to solve statistical problems;

express problems from relevant areas of applications in a form suitable for further statistical analysis, choose suitable models and solution techniques;

interpret and asses results obtained;

use statistical software;

present statistical arguments to others.

Content

Critical examination of how statistics is presented and interpreted. General views on statistical investigations. Basic theory for point and interval estimation, and hypothesis testing. Correlation and regression. Parametric and non-parametric methods. Orientation about statistical software. Statistical investigation in the form of a project.

Instruction

Lectures and problem solving sessions.

Assessment

Written examination (4 credit points) at the end of the course and accomplishment of a minor project (1 credit point). Moreover, compulsory assignments may be given during the course.