Nordic Informatics Network in the Agricultural Sciences

Likelihood-based inference for hierarchical/mixed statistical models

Tune Landboskole, Greve, Denmark

Evaluation results

All questions have been answered by choosing a number from 1 to 5, where 1 = "I don't agrre at all", and 5 = "I totally agree".

No. Question Average
(answers)
1 The quality of the course was high 4.8
(20)
2 The teachers had excellent knowledge in their subjects 5
(20)
3 The teachers had excellent pedagogical skills 4.7
(19)
4 There were high demands of workload on each credit 4.1
(19)
5 The degree of difficulty was high 3.7
(20)
6 The working pace in the course was high 4.2
(20)
7 The demands of examination were high 3.1
(20)
8 The course has been related to ongoing research in the area 4.6
(18)
9 Requirements listed in the course description concords totally with the requirements needed during course 4.7
(20)
10 The possibilities for me personally to fulfil the requirements were good 4.3
(20)
11 The intra-coordination between different parts of the course was good 4.8
(20)
12 I am very pleased with having taken this course 4.9
(20)
13 The course has increased my interest for Nordic and international cooperation 4.3
(20)
14 I gladly recommend the course to other students 4.8
(20)
     
15 The simoultaneaous presentation of both classical and Bayesian approaches was useful: 4,6
(20)
16 It was useful to be able to use and choose between three different software packages: . 4,65
(20)

Dina logoAuthor: phd@dina.kvl.dk. Updated: 02 september 2005