Seminar in Statistics (StatSem)
The purpose of the course is to introduce the student to the reading and presentation of research papers within statistics. It prepares the student for their master's thesis in statistics and it provides the student with a background for choosing a suitable topic and supervisor for their thesis.
The course consists of several seminar tracks within the following overall research areas:
- Applied statistics
- Theoretical statistics
- Statistical methodology
- Computations and algorithms
- Probability theory
The tracks will be organized so that they present a selection of
research papers within one or more of the above research areas to
the students. The papers can be a mix of classical papers and
MSc Programme in Statistics
MSc Programme in Mathematics-Economics
MSc Programme in Actuarial Mathematics
- Selected contemporary and classical topics in statistics and probability theory
- Scientific journals and conferences within statistics and machine learning
- Read research level literature within statistics and/or probability theory
- Present research level problems and solutions orally and in writing
- Discuss and criticise research papers
- Prioritize effort in the process of understanding technical literature
- Condense and summarize the main points of a technical research paper
Each of the seminar tracks has one seminar each week consisting
of 2x45 minutes of oral presentation plus 45 minutes of discussion.
The presentations and discussions are given by the course
The tracks do not overlap, and the students can choose to follow one or more seminars each week. The participants are required to attend a minimum of seven seminars during the course.
The course is targeted toward 2nd year MSc students in statistics, and participants are expected to have corresponding mathematical and statistical qualifications, e.g by having passed the MSc courses Regression, Stat A and Stat B.
- 7,5 ECTS
- Type of assessment
- Type of assessment details
- The exam is composed of five elements that are to be completed
during the course. Four of the elements are based on the scientific
papers and consist of: one oral paper presentation; one oral paper
discussion; two written paper synopses. As the fifth element, the
students must attend a minimum of seven seminars during the course.
Each of the five elements of the exam must be passed separately to pass the course.
- Marking scale
- passed/not passed
- Censorship form
- No external censorship
One internal examiner
Criteria for exam assessment
The student should convincingly and accurately demonstrate the knowledge, skills and competences described under Intended learning outcome.
Single subject courses (day)
- Exam Preparation
- Course number
- 7,5 ECTS
- Programme level
- Full Degree Master
- Block 1
- The number of seats may be reduced in the late registration period
- Study Board of Mathematics and Computer Science
- Department of Mathematical Sciences
- Faculty of Science
- Niels Richard Hansen (14-77726e757c377b37716a777c6e7749766a7d7137747e376d74)
- Bo Markussen (5-74817f7384527f73867a407d8740767d)
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Courseinformation of students