ST817: Mathematical Statistics II

The Study Board for Science

Teaching language: Danish or English depending on the teacher, but English if international students are enrolled
EKA: N370006102
Assessment: Second examiner: Internal
Grading: 7-point grading scale
Offered in: Odense
Offered in: Spring
Level: Master

STADS ID (UVA): N370006101
ECTS value: 5

Date of Approval: 03-11-2025


Duration: 1 semester

Version: Approved - active

Comment

This course will be offered as a reading course in Spring 2024.

Entry requirements

None

Academic preconditions

Students taking the course are expected to know mathematical statistics equivalent to the content of the course ST521 Mathematical Statistics.

The course builds on the knowledge acquired in the course ST521, Mathematical statistics and demonstrate advanced topics in mathematical statistics as such complements courses like e.g. computational statistics, multivariate analysis, linear models and probability theory, as well as for a possible master project in statistics.

Course introduction

The aim of the course is to provide the student a further and advanced understanding of the theory and methods in mathematical statistics, which is important in regard to master the use of these for practical data analysis.

Expected learning outcome

The learning objective of the course is that the student demonstrates the ability to:
  • understand and identify problems that can be solved using multivariate techniques  
  • perform a practical data analysis with the techniques from the course  
  • perform programming relevant to the content of the course in the statistical package used in the course  
  • identify and interpret relevant information in the output of the statistical package used in the course  
  • summarize the results of an analysis in a statistical report 

Content

The following main topics are contained in the course:
  • Theoretical results in hypothesis test
  • Theoretical results regarding conditional tail moments
  • Discriminant analysis and classification

Literature

See itslearning for syllabus lists and additional literature references.

Examination regulations

Exam element a)

Timing

Spring and June

Tests

Portfolio exam

EKA

N370006102

Assessment

Second examiner: Internal

Grading

7-point grading scale

Identification

Student Identification Card - Exam number

Language

Normally, the same as teaching language

Duration

The written exam is 3 hours

Examination aids

All common aids allowed

ECTS value

5

Additional information

Portfolio consisting of the following elements:
  1. An assignment submitted during the course
  2. Final written on-site exam during the examination period
To achieve an overall passing grade, both element 1 and element 2 must individually meet the learning objectives.
Element 1 accounts for 20% and element 2 accounts for 80% of the grade, with an overall holistic assessment applied.

Re-examination:
The re-examination will be changed to an oral exam if 5 or fewer students are registered.
Duration: 30 minutes (including supplementary questions)
  • Topics are provided before the exam date
  • Students draw a topic on the exam date
  • Students have 30 minutes of preparation time before the oral exam

Indicative number of lessons

30 hours per semester

Teaching Method

Planned lessons:
Total number of planned lessons: 30
Hereof:
Common lessons in classroom/auditorium: 30

Lectures will introduce general concepts and theory and exercise sessions will be devoted to learning material in depth. Interactive teaching will be used and, if possible, smart boards.

Other planned teaching activities:
Studying the course material and preparing the weekly exercises, individually or through group work.

Teacher responsible

Name E-mail Department
Jing Qin qin@imada.sdu.dk Data Science

Timetable

Administrative Unit

Institut for Matematik og Datalogi (datalogi)

Team at Registration

NAT

Offered in

Odense

Recommended course of study

Profile Education Semester Offer period

Transition rules

Transitional arrangements describe how a course replaces another course when changes are made to the course of study. 
If a transitional arrangement has been made for a course, it will be stated in the list. 
See transitional arrangements for all courses at the Faculty of Science.