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n.MA.PR.FTA.22FS (Food Tech Architecture – Design of Regenerative Technologies) 
Modul: Food Tech Architecture – Design of Regenerative Technologies
Diese Information wurde generiert am: 17.02.2026
Nr.
n.MA.PR.FTA.22FS
Bezeichnung
Food Tech Architecture – Design of Regenerative Technologies
Credits
4

Beschreibung

Version: 4.0 gültig ab 01.02.2026

 

Degree Program MSc in Preneurship for Regenerative Food Systems
Workload 120h: contact hours 40h (33%), self-study (guided) 80h (67%)
Module Coordinator Krügel Andri
Lecturers Krügel Andri and various lecturers
Entry Requirements Students should be able to:
  • Understand the fundamentals of biology (evolution, cell functions, basic genetics), chemistry and physics (matter and energy), and sustainability (environmental and social challenges, triple bottom line).
  • effectively identify and apply digital literacy and project management tools.
  • critically assess the project approaches taken by fellow students, incorporate and reflect on criticism and feedback, and expediently implement lessons learned.
Learning Outcome and  Competences Students will be able to:
  • explain, model and evaluate selected technologies, processes and systems for regenerative, dynamic, technological food value creation systems.
  • optimise foodstuffs, processes or services using models based on existing or created data, with the aim of developing and evaluating needs-based, regenerative solutions.
Module Content This module examines the technologies and processes relevant to the food industry in terms of food value creation (local and global). The students not only learn to recognise and understand such technologies and processes, but also to describe, record, implement and evaluate them. State-of-the-art technologies are presented and explained using practical examples. The aim is also to adapt and optimise existing technologies and processes in order to make them more regenerative and expedient.
Teaching / Learning Methods
  • Lectures
  • Practical exercises
  • Excursions
  • Seminar lessons
  • Problem-based learning
  • Case study work
Assessment of Learning
Outcome		 Predicate (passed / failed) 100%:
  • Oral presentation of model concepts 50% (group work)
  • Written exam during semester 50% (individual)
In case of failed assessment, the following options are possible:
  1. A supplementary examination can be carried out. Counts as first attempt.
  2. The failed assessments can be repeated the next time they are scheduled in the regular timetable. Counts as second attempt.
Bibliography -
Language English
Comments Follow-up modules: Food Systems Architecture – Design of Regenerative Networks

 

Hinweis

Kurs: Food Tech Architecture – Design of Regenerative Technologies
Nr.
n.MA.PR.FTA.22FS.V
Bezeichnung
Food Tech Architecture – Design of Regenerative Technologies

Hinweis

  • Für das Stichdatum 17.02.2026 ist kein Modulbeschreibungstext im System verfügbar.