Mål og innhald
The purpose of this course is to give students at the bachelor's program in cognitive science a broad understanding of the field of cognitive science from an interdisciplinary perspective. The course discusses models of cognition that are based on empirical studies of human and artificial intelligence. We will look at models of knowledge representation, reasoning, learning, comprehension and use of natural language, perception, and consciousness as they relate to thinking. Furthermore, we look at how cognitive science has its roots in various subjects such as computer science, information science, linguistics, psychology and philosophy, and explore the relationship between formal- and psychological models of explanation. We will explore their common assumptions and how the connections between the subjects are established by cognitive science as an interdisciplinary research area.
Undervisningsformer og omfang av organisert undervisning
Lectures, seminars, tutoring. (Normally two hours of lectures and two hours of group instruction per week for 10 weeks.)
Mandatory participation: Students must participate in class exercises. Attendance in seminar lab groups is mandatory (at least 80%).
Krav til studierett
Open to all students at the University of Bergen and to international exchange students.
Upon completion of the course the student should be able to:
- Provide an overview of how knowledge from computing, linguistics, psychology and philosophy can combine to give us an understanding of thinking.
- Explain how the other courses in the program contribute to cognitive science, and has a basis for specialization in the master degree.
- Reflect critically on issues that are central to cognitive science.
Krav til forkunnskapar
Basic knowledge of programming and linguistics.
3 hour written examination (50%)
Semester assignment, individual (50%)
The grading system has a descending scale from A to E for passes and F for fail.
KOGVIT101 is evaluated by students every three years, by the Department every year.
Department of Information Science and Media Studies