This course is a specialisation module within the MSc Industrial Ecology (joint degree Leiden University and TU Delft). To take part in the course students must be familiar with matrix calculations and the use of computer software. A bachelor-level background in linear algebra, programming, and/or micro/macroeconomics is helpful but not mandatory.
In this course you will learn Environmental Input-Output Analysis (EIOA), a standard methodology which models environmental interventions associated with production and consumption of products, across multiple spatial and sectoral scales. The course is divided in two parts. In the first part you will learn basic concepts, such as the System of National Accounts and computational aspects. In the second part you will explore various applications such as the calculation of footprints, decomposition analysis, hybrid and multi-regional models. The course follows a hands-on approach, with every lecture accompanied by a tutorial in which you will develop your programming skills, using the python open-source language.
Because this course is part of a joint degree between Leiden University and TU Delft, students (also guest and exchange) have to be enrolled in both universities.
All students have to enrol for the course via Brightspace, TU Delft (before the start of the course) and for the exam via uSis, Leiden University. (see: https://www.student.universiteitleiden.nl/en/administrative-matters/registration--de-registration/course-and-exam-enrolment/course-and-exam-enrolment/science/industrial-ecology-msc?cf=science&cd=industrial-ecology-msc#tab-2).
Students who are not enrolled for the MSc Industrial Ecology, have to ask for permission from the studyadvisor of Industrial Ecology to join this course, at least one month before the start of the course.
Exchange students can only enroll for this course if their home university has an Exchange agreement with both Leiden University and TU Delft. Exchange students have to ask permission from the studyadvisor of Industrial Ecology as soon as possible, preferably six months before the start of the course.
More information and the description of the course is published in the e-studyguide of TU Delft.