FUI's course evaluation

INF4820 - Algoritmer for kunstig intelligens og naturlige språk

Assessment:

Choose a question to see data from the student assessment:
How do you rate the course in general? How do you rate the level of the course? How do you rate the work load in proportion to the number of credits achieved? The quality of the lectures? The lectures' relevance and usefulness in regard to relaying what you need to learn? The quality of the group tuition as a whole? In what degree does group tuition and weekly assignments give you practical skills and the possibility to make use of the theory at hand? Are the curriculum and learning outcomes of the course sufficiently defined? How do you rate the course material used (text book etc.)? How do you rate the difficulty level of the obligatory assignments? What is your opinion in regard to the number of obligatory assignments? How do you rate the difficulty level of the final examination? Show all Hide

Summary:

The course has received very good reviews. Most students, 72%, report the workload is OK. Half the students, 52%, find the course difficulty Difficult, the other half, 48%, finds it OK.

The students report the teachers are very engaging and that the lectures are good. Reports also state its positive that the lectures are published as podcasts. There are some mixed reports about the use of LISP as the programming language of choice. Some students like it, others would prefer using something else because learning a new programming language steals focus away from learning the algorithms.

Quotes:

Very exciting mandatory assignments.

Very good course teacher.

Positive points: - The choice of CLISP as programming language.

The main challenge was to implement the algorithms om lisp, not understanding the algorithms themselves.

About the course evaluation

The course evaluation is done by students in FUI (Fagutvalget ved Institutt for informatikk), and is based on questionnaires made at the end of each semester.