NMAK22014U Seminar in Statistics (StatSem)
MSc Programme in Statistics
MSc Programme in Mathematics Economics
MSc Programme in Actuarial Mathematics
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
recent papers.
Knowledge:
- Selected contemporary and classical topics in statistics and probability theory
- Scientific journals and conferences within statistics and machine learning
Skills:
- 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
Competences:
- Prioritize effort in the process of understanding technical literature
- Condense and summarize the main points of a technical research paper
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.
- Category
- Hours
- Preparation
- 100
- Seminar
- 21
- Exam Preparation
- 60
- Exam
- 25
- Total
- 206
- Credit
- 7,5 ECTS
- Type of assessment
- Continuous 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
- Re-exam
Passed exam elements can be reused for the reexam the same year.
If the student has not attended a minimum of seven seminars, one additional written paper synopsis must be handed in, whence the reexam requires a total of three written paper synopses.
If a synopsis is not passed during the ordinary exam, a new synopsis must be handed in for the reexam.
If one or both of the oral elements are not passed during the ordinary exam, the reexam will include a 25 minutes oral exam without preparation time consisting of a 15 minutes paper presentation and a 10 minutes discussion.
Criteria for exam assesment
The student should convincingly and accurately demonstrate the knowledge, skills and competences described under Intended learning outcome.
Course information
- Language
- English
- Course code
- NMAK22014U
- Credit
- 7,5 ECTS
- Level
- Full Degree Master
- Duration
- 1 block
- Placement
- Block 1
- Schedule
- B
- Course capacity
- No limitation – unless you register in the late-registration period (BSc and MSc) or as a credit or single subject student.
Study board
- Study Board of Mathematics and Computer Science
Contracting department
- Department of Mathematical Sciences
Contracting faculty
- Faculty of Science
Course Coordinators
- Jun Yang (jy@math.ku.dk)