915187 Interdisziplinäre Projektstudien (in Eng.)

Art
Projekt
Semesterstunden
4
Vortragende/r (Mitwirkende/r)
Schweng, Stefan , Holzinger, Andreas
Organisation
Angeboten im Semester
Sommersemester 2025
Unterrichts-/ Lehrsprachen
Englisch
Lehrinhalt

START: Dienstag, 12.3. 11:30 im MENH-02/08 (SR 21 / MENH [HS IV])
FINAL: Dienstag, 18.6. 11:30 im MENH-02/08 (SR 21 / MENH [HS IV])
Miniprojects-Course (in English)

Our focus is on multi-objective counterfactual explanations with a human-in-the-loop,
to help to reach Forestry 5.0 – some concrete applications from the forestry industry as practical examples:

1) Forest roads: Prediction for trafficability, bearing capacity, optimization of planning
2) Cable yarding: Optimization, route planning, fuel consumption reduction
3) Bark beetles: prediction, identification, mapping and control
4) Windthrow: prediction, identification, mapping and control
5) Forest fire: prediction, identification, mapping and control

We always address these three united nations sustainability goals:

1) Occupational safety = SDG 3 Good Health and Wellbeing
2) Economy = SDG 12 Responsible Consumption and Production = Ensure sustainable consumption and production patterns
3) Ecology = SDG 15 Life on Land = Protect, restore and promote sustainable use of terrestrial ecosystems, sustainably manage forests, combat desertification, and halt and reverse land degradation and halt biodiversity loss
Inhaltliche Voraussetzungen (erwartete Kenntnisse)

Interest in digitalization, data, cyber-physical systems (sensors, actors (robotics)), interest to work in AI-applications for forest engineering, forest management and forest industry.
Lehrziel

Participants will work together with the Human-Centered-AI-Lab on Miniprojects. Max Group size = 3 students.
Noch mehr Informationen zur Lehrveranstaltung, wie Termine oder Informationen zu Prüfungen, usw. finden Sie auf der Lehrveranstaltungsseite in BOKUonline.