Quartile 2

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 course scores a sufficient. This may be due to the good and structured general set-up of the course. Also, the combination of lectures, individual assignments and group assignment provided a nice diversity and worked well together. This course is experienced as a good follow-up to Data analytics.

The lectures were scheduled on the 9th and 10th hour of Tuesday. Partly because of this not all students attended the lectures. The Wednesday afternoon was also reserved for this course, however, only 2 out of 8 weeks lectures were planned on that day. A suggestion was given to schedule the lectures on Wednesday and use the 9th and 10th hour on Tuesday as backup. This could enhance a better presence during the lectures.
The lectures of this year were not recorded, but lectures of a couple of years back were available to watch. These video lectures were missing the topic Linear Regression and had some changes in the time schedule. According to the teacher the lectures were still very representative and he would look into adding the missing chapter. It is also an idea to update the video lectures.
Every first six weeks the students had to hand-in an individual assignment. This assignment was connected to the lectures and had to be made with the program SPSS. Every Friday after the hand-in deadline there was a tutor moment to review your work of that week. The number of students visiting these tutor moments was low. This could be explained by the fact that it was not clear to everyone that this moment was to review your previous work. The suggestion was given to plan the tutor session before the deadline, so students can ask their questions before they have to hand it in. A risk of doing this is that students come unprepared and hope to finish their deadlines with help of the tutor. Also students can’t ask questions regarding their feedback. Explaining better what the purpose of the Friday tutor sessions is could also enhance the presence of the students.

There is no reader available with study material. This resulted in some students who did not know what to study. The slides were not elaborated enough to learn from. The teacher explained that the study material is all explained in the lectures and can be found in multiple books. For next year, the teacher will clearly mention in the study guide which chapters from which books are relevant for the course. In this way students can easily find the study material.
The way of uploading the individual assignment was different over the six weeks of deadlines. This was due to the fact that they are currently changing their checking method. For some students this was confusing, since the marks of the site upload were shown in a different folder than the marks of the canvas upload. The teachers are working towards ensuring that all weeks can be upload through the site. This is more consistent and easier for them to check.
The final exam was as students expected, though it was a little bit easier than the midterm tests. Students did not had a practice exam, so the midterm questions were their practice. It was not clear whether the midterm questions were representative of the final exam. Stating that this is indeed the case would make it clear.

The workload experienced in this course is lower than the hours the 5 ects prescribe. The course now covers all relevant aspects and has sufficient depth into the topics. No more study material needs to be added. The report made as a group could be expanded a bit, so more time is spend on this assignment.

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.

Average