Course ObjectiveAfter completing this course, students will have:
- a strong understanding of a number of subfields of AI; (Knowledge and
- a good understanding of the academic skills required in studying AI;
(Applying knowledge and understanding)
- some basic skills in writing a project proposal (Communication)
- a solid understanding of how the degree program in AI is structured.
(Lifelong learning skills)
- analysing the role of AI in society (Making judgements)
Course ContentThe course combines general lectures and individual working groups to
survey the richness of the area of Artificial Intelligence (AI). In
addition to weekly lectures that introduce a wide range of topics
related to AI, the course is structured around working classes in which
students in groups work on small projects to find, analyse and solve
(theoretically) interesting AI problems.
The working group also form mentor groups in which both academic skills
and the individual AI topics are discussed. The goal of the course is to
provide a broad introduction to AI and to provide students with the
basic academic skills and knowledge that are necessary for studying AI
at the Bachelor's level.
Teaching MethodsLectures and working groups.
Method of AssessmentWeekly assignments that are combined into a single group project report.
LiteratureThe course will consider scientific articles that are explained during
the lectures and have to be consdidered as part of individual working
Target AudienceBSc Artificial Intelligence (year 1)
|Language of Tuition||English|
|Faculty||Faculty of Science|
|Course Coordinator||dr. K.S. Schlobach|
|Examiner||dr. K.S. Schlobach|
prof. dr. F.A.H. van Harmelen
dr. M.C.A. Klein
dr. K.S. Schlobach
dr. F.A. Kunneman
dr. M. Cochez
dr. L.M. Lischke
dr. V.N. Stebletsova
dr. M. Hoogendoorn
dr. A.C.M. ten Teije
You need to register for this course yourself
Last-minute registration is available for this course.
|Teaching Methods||Seminar, Lecture, Meeting|
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