NMAK15013U Functional Data Analysis

Volume 2015/2016
Education

MSc Programme in Statistics
MSc Programme in Mathematics-Economy

Content

One- and multidimensional functional data, smoothing, 
alignment, principal component analysis, functional regression, 
classification

Learning Outcome

Knowledge:

  • Recognize the possibilities and challenges with functional data
  • Recognize similarities and differences between methods for low-dimensional data, high-dimensional data, and functional data
  • Understand methods used for smoothing, alignment, PCA, regression


Skills:

  • Carry out simple data analyses with functional data
  • Use R to carry out smoothing, alignment, PCA, regression
  • Read scientific papers in the area (applied and theoretical)


Competences:

  • Choose appropriate statistical methods of functional data, taking into account their functional nature and the purpose of the analysis
  • Evaluate the appropriateness of methods in analyses of functional data in scientific papers
Lectures, exercises, student presentations
  • Category
  • Hours
  • Exercises
  • 16
  • Lectures
  • 28
  • Preparation
  • 126
  • Project work
  • 36
  • Total
  • 206
Credit
7,5 ECTS
Type of assessment
Continuous assessment
Three individual mandatory projects each counting 1/3 of the final grade.
Aid
All aids allowed
Marking scale
7-point grading scale
Censorship form
No external censorship
Re-exam

30 minutes oral exam with 30 minutes preparation time and all aids allowed during the preparation time and no aids allowed during the examination.

Criteria for exam assesment

The student must in a satisfactory way demonstrate that he/she has mastered the learning outcome of the course.