Course - Advanced Programming for Environmental Systems Analyses with Brightway - EP8127
EP8127 - Advanced Programming for Environmental Systems Analyses with Brightway
About
Examination arrangement
Examination arrangement: Assignment
Grade: Passed / Not Passed
| Evaluation | Weighting | Duration | Grade deviation | Examination aids |
|---|---|---|---|---|
| Assignment | 100/100 |
Course content
The course is taugt 1 week intensively in the summer.
This is an advanced course addressing the use of programmatic approaches to improve the workflows, methods, and possibilities of environmental systems analyses. The course introduces and gives practical examples of the state-of-the-art and scientific debates connected to life cycle assessment.
The core of the course is an introduction to python-based programming and the Brightway open source framework. The course will introduce the basics of Brightway, such as the data ontology, data storage and format, importing external data, calculation possibilities, and interpretation of results. Advanced topics will also be discussed, such as the consumption of dynamic data, uncertainty analysis and global sensitivity, dealing with classical LCA problems (multifunctionality, allocation), as well as regionalization aspects. In addition to the introduction to this cutting-edge research platform, students will carry out their own projects by conducting and interpreting LCAs, using real-world case studies from industry and public policy.
Learning outcome
After having completed the course, the students should
1. have acquired Python coding knowledge for environmental systems analyses
2. understand the structure and functionality of the Brightway framework
3. be able to conduct LCA studies through Brightway
Learning methods and activities
The course will be taught as an intensive 1-week session, involving both lectures and exercises (both group exercises and individual ones). The exercises are all conducted on the students’ own computers. There is an extensive set of preparatory tasks (both literature and practical knowledge), and students are required to complete these tasks before the session.
There will be two online sessions prior to the intensive week to ensure students have installed Brightway correctly.
The course is planned to take place every 2 years. Next time in summer 2023
Further on evaluation
To pass the course a score of at least 70 percent is required
Recommended previous knowledge
Exercises, final group presentation at the end of the week
Required previous knowledge
Basics of LCA, e.g. through TEP4223
Basic Python programming
Course materials
Brightway software (download: https://brightway.dev/ ), and reading materials & tasks (introduction to Python and Brightway specific) that are distributed before the intensive week.
No
Version: 1
Credits:
3.0 SP
Study level: Doctoral degree level
Term no.: 1
Teaching semester: AUTUMN 2023
Extraordinary deadline for course registration: 2023-07-01
Language of instruction: English
Location: Trondheim
- Industrial Ecology
Department with academic responsibility
Department of Energy and Process Engineering
Examination
Examination arrangement: Assignment
- Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
-
Autumn
ORD
Assignment
100/100
Submission
2023-08-30
16:00 -
Room Building Number of candidates
- * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"