====== TMA4300 Computer Intensive Statistical Methods ======

===== Reference group =====

^Name  ^e-post ^Study programme |
^Martin Walderhaug |  <martiew@stud.ntnu.no> | MTKJ (Chemical Engineering and Biotechnology) |
^Abdul Ghaffar | <agmalik@stud.ntnu.no>  | BMAT (Mathematical sciences) |
^Luca Fenzi | <lucafe@stud.ntnu.no> | ERASMUS | 

===== Summary of reference group discussions =====
**
The final reference group report is** [[http://www.math.ntnu.no/~andrerie/tma4300/v2015/ReferenceGroupReport.docx|here]]

====  1. Meeting (03.02.2015): ====
    Curriculum: 
  * Interesting so far and seems also relevant for future work.

    General comments: 
  * Very good course
  * Block structure is a very good concept for this course. 
  * It is nice to hear first the theory and then apply it yourself. 
  * Further, it is good to focus on the exercises for two weeks.

    Lectures:
  * Slides are very informative and well prepared. 
  * It is good that slides are available at the beginning of the lecture.
  * Maybe use the document camera instead of the blackboard.

    
    Exercises:
  * The match between the exercises and the lecture is very good.
  * The exercises in the computer lab work fine.
  * The teaching assistant gives very good support and assistants well with questions.
  * Good that deadline is not so close.
  * Idea of oral presentations is good.

 ====  2. Meeting (20.03.2015): ====

    Lectures:
  * Slides are good and students appreciate it to get them printed out at the beginning of the lecture.
  * Lectures are good. Pace is appropriate.


    Exercises:
  * 2nd exercise is much harder than first one.
  * In particular the INLA part is hard and more help might be needed there.
  * It would be good to get the third exercise before Easter. 
  * Sometimes there are communication problems, such as misunderstandings, when asking questions.
  * More help during the exercises would be appreciated.

====  3. Meeting (17.04.2015): ====

    General:
  * No comments for improvement.

    Lectures:
  * No changes compared to last feedback.
  * No comments from other students
  * EM algorithm not so well covered in book


    Exercises:
  * Good exercises that relate well with lectures
  * Corrections of exercises ok
  * Good help during lab exercises
  * Oral presentations are regarded as very helpful