NMAK17006U Modern Topics in Statistics
Volume 2018/2019
Education
MSc Programme in Statistics
Content
The course will be concerned with selected modern topics in statistics such as, for example, model selection methods, approximate and exact computation, and analysis of high-dimensional data.
Learning Outcome
Knowledge:
- Basic knowledge of the topics covered
Skills:
- Understand basic elements of models dicussed in the course
- Discuss and understand issues involved in the analysis of models
- Discuss and understand properties and limitations of the
methods associated with the models covered in the course
Competences:
- Ability to perform basic Bayesian computations and a basic network analysis
- Understanding the role of the models in analysing data
Literature
Lecture notes, selected chapters from books, and selected articles from the literature
Recommended Academic Qualifications
Basic mathematical
statistics and probability based on measure theory.
For example: Measures and Integrals + Stat1 + Stat2 or equivalent.
For example: Measures and Integrals + Stat1 + Stat2 or equivalent.
Teaching and learning methods
Four hours of lectures and
three hours of student presentations per week for 8
weeks.
Workload
- Category
- Hours
- Course Preparation
- 120
- Exam
- 30
- Lectures
- 32
- Theory exercises
- 24
- Total
- 206
Sign up
Self Service at KUnet
As
an exchange, guest and credit student - click here!
Continuing Education - click here!
Exam
- Credit
- 7,5 ECTS
- Type of assessment
- Continuous assessmentStudents will have to give three presentations during the course, each of which will count equally.
- Aid
- All aids allowed
- Marking scale
- 7-point grading scale
- Censorship form
- No external censorship
- Re-exam
30 minutes oral examination with 30 minutes preparation time during which all aids are allowed. No aids allowed during examination. Several internal examiners.
Criteria for exam assesment
Students must demonstrate understanding of topics covered
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
- Mathias Drton (5-6876787372447165786c326f7932686f)
Saved on the
28-08-2018