Exam
This page will be updated throughout the course. Expect a final version with exam preparation material by week 6.
The exam for this course is a 120-minute on-campus computer exam (course code 328060-M-6), taken in TestVision. It is an open-book exam with internet access; the use of AI is not permitted.
Key points to keep in mind:
- four exam dates are offered each academic year, of which students may take part in at most two.
- you will be able to download “cheatsheets” from the exam’s introduction page
- communication with others about the exam is strictly forbidden
- the use of any other website/tool, including AI tools such as ChatGPT, is strictly forbidden (unless explicitly stated otherwise for selected questions)
- do not include your name or student number in submitted files unless explicitly asked, to ensure anonymous grading.
Date and Time
- Please view the date & time directly on Osiris.
Exam Format
The exam consists of a mix of open questions (requiring open-text answers or file uploads) and closed questions (such as multiple-choice, ranking, or matching). These questions are organized according to the learning goals of the course, and the content for each learning goal will be drawn from both tutorials, lectures, and readings.
The exam is worth a total of 120 points, corresponding to roughly one point per minute of work. This design should help you pace yourself and prioritize your effort during the exam.
In terms of cognitive skills, the exam does not stop at testing factual recall. Instead, it follows Bloom’s taxonomy of learning objectives, which means you will be assessed across different levels of thinking:
- Knowledge & Comprehension – recalling key concepts and demonstrating understanding of methods and ideas.
- Application – using techniques or code you have learned in tutorials and lectures to solve new problems.
- Analysis – breaking down complex tasks (e.g., a dataset or research workflow) into their component parts and reasoning about them.
- Synthesis – combining different elements (e.g., data, code, and interpretation) to produce a coherent result.
- Evaluation – critically judging the suitability of an approach or comparing alternative solutions.
Together, these levels ensure that the exam does not merely check whether you remember material, but also whether you can apply, integrate, and evaluate it in realistic scenarios.