NMAK17006U  Modern Topics in Statistics

Volume 2017/2018
Education

MSc Programme in Statistics

Content

The course will be concerned with selected modern topics in statistics such as, for example, network analysis, Bayesian computation, non-parametric Bayesian inference.

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

Lecture notes, selected chapters from books, and selected articles from the literature

Basic mathematical statistics and probability based on measure theory.
For example: Measures and Integrals + Stat1 + Stat2 or equivalent.
Four hours of lectures and three hours of student presentations per week for 8 weeks.
Credit
7,5 ECTS
Type of assessment
Continuous assessment
Students 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

  • Category
  • Hours
  • Lectures
  • 32
  • Theory exercises
  • 24
  • Course Preparation
  • 120
  • Exam
  • 30
  • Total
  • 206