Research and Statistics7U9X0
Overall, the course is evaluated positive, with an average mark of 6,8. This is the same as last year. The lectures are clear and the course is not experienced extremely difficult. Some students feel that the link within the Built Environment is missing, so this could be a thing to include in the course.
The lectures are experienced as pleasant and clear, especially because they are recorded. The PowerPoint slides are clear and self-exploratory. Some students have the idea that not much additional information is given during the lectures, so maybe some more examples in SPSS or a more detailed explanation of concepts can be dealt with during the lectures.
The individual weekly assignments are considered pleasant amongst the students, because the clearly resemble the subject matter and the final examination.
The group assignment is not experienced that positive, because this assignment is not really extensive. Maybe this assignment could be made individually, or larger.
The final exam did not show many surprises for the students, it clearly resembles the subject matter. Also there are no remarks on the grading of the assignment.
The workload of the course is experienced low. 60-70% of the students spend less than 100 hours on the course, while 140 hours (5 ECTS) is prescribed. Some students even did think that the course could be integrated within another subjects. The responsible teacher does not agree on this, because in several other faculties and universities, the subject is split in 2 (a research subject and a statistics subject).
In comparison with last year, the course is already expended, but the workload is still experienced low, so the workload can maybe be increased by increasing the workload of the group assignment, showing more examples with SPSS or connecting the subject more with the Built Environment by showing more applied examples.
The studyguide is missing some information. The amount of ETCS is not mentioned, as well as the target group, the responsible lecturer and information (e-mail) of the lecturer. Also information about the prior knowledge, other registration requirements and follow up courses is missing. The description of the course is really clear. It is clearly mentioned what needs to be studied and the planning gives a good overview. Learning objectives are good described as well as the assessment.
Students found the combination of the SPSS assignment with the theory very nice.
Students think that the lectures can be more interesting. A lot comments were about the fact that the lecturer was just reading the slides which was not motivated at all to be present during those lectures.
No specific problems.