Inference Theory I
Syllabus, Bachelor's level, 1MS035
- Education cycle
- First cycle
- Main field(s) of study and in-depth level
- Mathematics G1F
- Grading system
- Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
- Finalised by
- The Faculty Board of Science and Technology, 19 February 2019
- Responsible department
- Department of Mathematics
Probability Theory I.
On completion of the course, the student should be able to
- account for the bases of statistical studies and have knowledge of some methods for describing statistics;
- account for basic inference theoretical concepts and definitions;
- illustrate and interpret important concepts in concrete situations;
- design estimations and confidence intervals inclusive of in connection with linear regression;
- translate problems from relevant application fields into a form appropriate for statistical treatment, choose appropriate model and solution method;
- interpret and evaluate received results;
- use statistical software;
Critical review of how statistics are presented and interpreted. General about statistical studies. Basic theory of point and interval estimations and hypothesis test. Correlation and regression. Parametric methods. Statistical software.
Lectures, teaching sessions, calculation exercises and computer exercises.
Written examination at the end of the course combined with written assignments during the course according to instructions delivered at course start.
If there are special reasons for doing so, an examiner may make an exception from the method of assessment indicated and allow a student to be assessed by another method. An example of special reasons might be a certificate regarding special pedagogical support from the disability coordinator of the university.
The course can not be included in higher education qualification together with any of the courses Probability and statistics (1MS005) or Inference theory (1MS002).