NMAK17006U Modern Topics in Statistics
Volume 2019/2020
Education
MSc Programme in Statistics
MSc Programme in Mathematics-Economics
Content
The course will be concerned with selected modern topics in statistics such as, for example, causal inference, analysis of high-dimensional data and multiple testing problems.
Learning Outcome
Knowledge:
- Basic knowledge of the topics covered
Skills:
- Ability to practically apply the methods discussed in the course
- Understand theoretical guarantees for the discussed methods
- Understand limitations of the discussed methods
Competences:
- Ability to analyze high-dimensional data
- Perform theoretical analyses of statistical methods for high-dimensional data
Literature
Selected book chapters and articles from the literature.
Recommended Academic Qualifications
Basic mathematical
statistics and probability based on measure theory.
For example: Measures and Integrals + Mathematical Statistics or equivalent.
Academic qualifications equivalent to a BSc degree is recommended.
For example: Measures and Integrals + Mathematical Statistics or equivalent.
Academic qualifications equivalent to a BSc degree is recommended.
Teaching and learning methods
Four hours of lectures and
three hours of exercises per week for 7 weeks.
Workload
- Category
- Hours
- Exam
- 27
- Exercises
- 21
- Lectures
- 28
- Preparation
- 130
- Total
- 206
Feedback form
Continuous feedback during the course of the
semester
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Exam
- Credit
- 7,5 ECTS
- Type of assessment
- Written assignment, 27 hours27 hour written take-home assignment.
- Aid
- All aids allowed
- Marking scale
- 7-point grading scale
- Censorship form
- No external censorship
One internal examiner
- Re-exam
30 minutes oral examination without preparation time. No aids allowed during examination. Several internal examiners.
Criteria for exam assesment
Student must in a satisfactory way demonstrate understanding of the covered topics.
Course information
- Language
- English
- Course code
- NMAK17006U
- Credit
- 7,5 ECTS
- Level
- Full Degree Master
- Duration
- 1 block
- Placement
- Block 3
- Schedule
- B
- Course capacity
- No limit.
- Continuing and further education
- Study board
- Study Board of Mathematics and Computer Science
Contracting department
- Department of Mathematical Sciences
Contracting faculty
- Faculty of Science
Course Coordinators
- Sebastian Weichwald (10-797d6b6f696e7d67726a4673677a6e34717b346a71)
Saved on the
07-11-2019