TMA4300 Computer Intensive Statistical Methods

Reference group

Name e-post Study programme
Ingeborg Gullikstad Hem ingebogh@stud.ntnu.no MTFYMA
Kristian Aga kristag@stud.ntnu.no MTFYMA

Summary of reference group discussions

1. Meeting (15.02.2016) :

  General: Students like the course and the book by Givens and  Hoeting seems fine.
  Lectures:   
      * Student appreciate to have the slides available before the lecture.
      * The slides are nicely prepared and summarize well the content. 
      * Also the use of the document camera on Tuesdays is appreciated.
      * Lecturer should not hope for very interactive lectures, as this is in conflict with how Norwegians are ...
      * Maybe it is enough to make clear that students can always interrupt if there is something unclear.
  
  Exercises:   
      * Students find length and difficulty of project exercises ok. 
      * Students feel that they get sufficient help for the exercises.
      * The lecturer might make more clear how a good "report" should look like.
      * Also the oral presentations are appreciated. It seems a good idea to practice talking in front of a group.
      
  

2. Meeting (08.03.2016, 12:00):

  General: Students still tend to like the course, but part 2 is clearly more challenging than part 1
  Lectures:
    * go through more details on document camera even if they are on the slides.
    * give more motivation and background information to what is done and why.
    * would be good to have a summary lecture or a question & answers session
  Exercises:
    * first project seemed quite easy and was ok. Second project seems scary with long formulas, ...
    * teaching assistant should be better prepared to answer questions.

3. Meeting: (23.05. 15:00)

  Discussion was mostly based on online feeedback of 13 students.
  General: 
    * Feedback was very positive
    * Students liked block structure, also it might not work for all courses
    * Oral presenations were received very well
    * Most people are statified with the course
    * Good that course is tought parallel to spatial statistics
  Lectures:
    * Slides were appreciated, also that they were able before the lecture
    * Good lecturer
  Exercises:
    * Project 2 was clearly the hardes
    * More guideance regarding INLA would be needed if it is covered in the project. 
2016-05-25, Andrea Riebler