Seminar life engineering
-
Teaching
Details
Faculty Faculty of Science and Medicine Domain Computer Science Code UE-SIN.07830 Languages English Type of lesson Seminar
Level Master Semester AS-2026 Schedules and rooms
Summary schedule This course is given in block format. Please consult the exact dates under the "Dates and Rooms" tab. Struct. of the schedule 2h par semaine durant 14 semaines Contact's hours 28 Teaching
Responsibles - Portmann Edy
Teachers - Portmann Edy
Description The idea of these lessons for an integral fuzzy engineering, or short life engineering, is to introduce the students into a human-centred reflection on ethics and sustainability of digitalization. We apply an ethics by design mindset as a humanistic way to design fair systems that involve ethical values and sustainable principles, requirements as well as procedures into engineering. During the semesters, we seek to understand computational ethics and sustainability approaches, by reading and discussing books on digital ethics and sustainability. In the end, the students will also write a joint paper on their experiences.
Training objectives The seminar offers students the opportunity to debate the constantly growing role of ethics and sustainability in digitalization. The aim is that, with in-depth discussions, the students acquire up-to-date knowledge of ethical and sustainable practices. At a kick-off, we open the seminar with the general condition as the dates, the books to be discussed, and the discussion leads for a particular book will then be settled. For admission to the seminar, interested students should apply to the course instructors in advance with a short video and a one-page application. Students should introduce themselves and explain why they want to attend and why they should be included. Please apply latest by the end of September!
Condition of access - Condition of access: Knowledge in “Computing with Words” and/or “Fuzzy Sets and Systems”
- Prerequisites: Students are expected to have knowledge in “Computing with Words” and/or “Fuzzy Sets and Systems”.
Comments MSc-CS BENEFRI - (Code Ue: 53672 / Track: T5, Code Ue: 63672 / Track: T6) The exact date and time of this course as well as the complete course list can be found at http://mcs.unibnf.ch/.
Course and exam registration on ACADEMIA (not myunifr.ch). Please follow the instructions on https://mcs.unibnf.ch/organization/
Softskills No Off field No BeNeFri Yes Mobility Yes UniPop No -
Dates and rooms
Date Hour Type of lesson Place 05.10.2026 14:15 - 17:00 Cours 02.11.2026 14:15 - 17:00 Cours 30.11.2026 14:15 - 17:00 Cours -
Assessments methods
Continuous evaluation
Assessments methods By rating -
Assignment
Valid for the following curricula: Additional Courses in Sciences
Version: ens_compl_sciences
Paquet indépendant des branches > Specialized courses in Computer Science (Master level)
Additional programme requirements for PhD studies [PRE-DOC]
Version: 2020_1/v_01
Additional programme requirements for PhD studies (Faculty of Science and Medicine) > Specialized courses in Computer Science (Master level)
Computer Science [POST-DOC]
Version: 2015_1/V_01
Continuing education > Specialized courses in Computer Science (Master level)
MSc in Computer science (BeNeFri)
Version: 2023_1/V_01
MSc in Computer science (BeNeFri), lectures, seminars and Master thesis > T5 : Information Systems and Decision SupportMSc in Computer science (BeNeFri), lectures, seminars and Master thesis > T6: Data Science
Ma - Business Communication : Business Informatics - 90 ECTS
Version: 2024-SA_V03
Business Informatics > Business Informatics Courses > Module Wirtschaftsinformatik > TMD: Technologies and Modelling for Digitalization
Ma - Business Informatics - 90 ECTS
Version: 2020-SA_V01
Classes - min. 45 ECTS > Modules IT Management - min. 22 ECTS > TMD: Technologies and Modelling for DigitalizationClasses - min. 45 ECTS > Module IT and IT Management - min 8 ECTS > TMD: Technologies and Modelling for DigitalizationClasses - min. 45 ECTS > Module IT and IT Management - min 8 ECTS > JMCS Seminars
MiMa - Business Informatics - 30 ECTS
Version: 2020-SA_V01
Courses > Modules in Business Informatics > TMD: Technologies and Modelling for Digitalization
MiMa - Data Analytics - 30 ECTS
Version: 2020-SA_V01
Maximum of 9 ECTS credits can be chosen from courses in module T6 (Data Science) of the MSc in Computer Science and/or modules DADS and TMD of the MSc in Business Informatics. > TMD: Technologies and Modelling for Digitalization
