Seminar Computing with Words

The idea of this seminar is to give students insights into actual cognitive computing systems. Thereby, our focus is on the design of new computing with words services, technologies, and business models. At the kick-off session, various projects from and for Swiss network industries (i.e., Post, SBB and Swisscom) will be introduced.

The available topics are: affective computing, brain-inspired computing, cognitive computing, fuzzy computing, perceptual computing, phenotropic computing, soft computing, etc.

For each topic, subtopics are supposed to be developed further by student groups (preferably of two) to get a deeper knowledge in the respective subtopic. In the final presentation, the compiled data, information and knowledge must be shared with the fellow students.

Details

Code 53523
63523
Type Seminar
ECTS 5
Site Fribourg
Track(s) T5 – Information Systems and Decision Support
T6 – Data Science
Semester S2023

Teaching

Learning Outcomes

This seminar offers students the possibility to work independently on interesting topics in the area of computing with words and perceptions; it is open for all students in the BeNeFri cooperation, not only from computer science but also from   business degrees. Thereby, the students will be required to get a deep understanding of the topic of their choice, to develop their own ideas, to present their proposals at the mid-term (i.e., 20% of the grade) and final presentations (i.e., 30% of the grade), and to write a final paper (i.e., 50% of the grade). The students will be split into groups of two students each group; however, individual projects are also possible. Each group (or likewise single student) will receive continuous feedback towards defining the aim and scope of their project.

Lecturer(s) Edy Portmann
Language english
Course Page

The course page in ILIAS can be found at https://ilias.unibe.ch/goto_ilias3_unibe_crs_2469328.html.

Schedules and Rooms

Period On Appointment
Location UniFR, PER21

Evaluation

Evaluation type continuous evaluation

Additional information

Comment

First Lecture
The first lecture will be announced later.