Under the following URL, you'll find a self-assessment test, which is designed to help decide whether this course is the right choice for a student or not:
The test covers a selection of basics from linguistics, statistics, and machine learning, all of which are considered as prerequisites for the course (along with good programming skills).
The test is voluntary, fully anonymous, and will not affect admission to the course. It is only intended for one's own consideration. However, students that struggle with several questions are advised to expand their skills first and maybe rather register next year.
Required course achievement
The maximum number of course participants is limited. In case the number of registered participants exceeds the maximum, there will be a mandatory test in the beginning, to decide about admission. The 24 students with the best results can then participate in the course.
In particular, each student will get an individualized exercise sheet after the first lecture, which needs to be solved and submitted within a few days. The test is expected to take about 1-2 hours - depending on one's background knowledge. It will cover questions related to statistics, linguistics, and machine learning, all of which are covered by the course Introduction to Text Mining, among others.
Besides the test, also a certain amount of participation is required. More details will be announced in the first lecture.
Notice: These are not the graded tasks of the course. Details on the grading in the organizational course information slides.