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Lebenszyklusanalyse mit Python

ED150023Lab Courses4 ECTSGerman/Englishwinter semesterLehrstuhl für Nachhaltige Mobile Antriebssysteme (Prof. Jaensch)
AI-edited module sheet. Based on the TUMonline module description, edited for readability.Original in TUMonline

What it is about

In this module you will learn the basics of object-oriented programming with Python and their application for Life Cycle Assessments (LCA). You will learn the theoretical principles of an LCA, build a simple LCA model with real data, and evaluate and discuss ecological footprints using the Python library brightway.

What you will be able to do

  • Understand and apply the basics of object-oriented programming with Python in the LCA context
  • Know the theoretical fundamentals of LCA (e.g. system boundaries, DIN ISO 14040/14044)
  • Apply the LCA method with brightway to real products and evaluate ecological footprint
  • Analyze, classify and discuss LCA results
  • Prepare and present the complexity of an LCA for an audience

What the module consists of

  • PraktikumIn-person sessions for applying and deepening Python and LCA as well as practical modeling
  • Selbststudium (Onlinekurse)Independent learning of the theoretical fundamentals of Python
  • Hausaufgaben / Selbstständige ArbeitDeepening of what has been learned and preparation for in-person sessions
  • PräsentationPreparation and presentation of a stakeholder perspective in the product life cycle

Teaching method

  • Präsenztermine mit Vorträgen und ÜbungenConveying theoretical LCA fundamentals and practicing Python application together
  • Online-Programmierumgebung (Jupyter Lab) und Jupyter NotebooksImmediate practical application and demonstration of code and results
  • Selbststudium via OnlinekurseIndependent learning of Python basics before in-person sessions
  • Teamarbeit und PräsentationenDevelopment and communication of different stakeholder perspectives in LCA
No dates in the current semester
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Sprache
Deutsch/Englisch
Turnus
Wintersemester
Modulniveau
Master
Moduldauer
Einsemestrig
Gesamtstunden
120
Präsenzstunden
30
Eigenstudiumstunden
90
Organisationsname
Lehrstuhl für Nachhaltige Mobile Antriebssysteme (Prof. Jaensch)

Courses

  • Lebenszyklusanalyse mit Python
  • Lebenszyklusanalyse mit Python

Official page in TUMonline · Details are not binding.