Course content

This course is related to the Master thesis in the field of Industrial Ecology at the Department Energy and Process Engineering. Students choose and design the structure and contents of their work in collaboration with the teacher, and if relevant also in agreement with an external suspervisor from industry or authorities. The thesis is connected to one or several of the following topics: - Modelling of resource use, emissions and value added using input-output analysis and related methods. – Analysis and assessment of the impact of emissions on humans and nature. – Analysis of environmental and economic performance of specified systems in a life-cycle perspective. – Systems analysis of climate mitigation measures.

Learning outcome

Knowledge:
After completing this thesis, the student should have in-depth knowledge within the analysis of environmental pressures caused by selected anthropogenic systems and knowledge of the theory, application, assumptions, strengths and limits of environmental systems analysis.

Skills:
After completing this thesis, the students should be able to:
- structure and plan scientific work;
- acquire an understanding of the state of the art knowledge regarding a specific scientific question through literature study and be able to evaluate her own contribution to knowledge production;
- conduct in-depth analysis of a specified topic using scientific methods, such as empirical research, analysis and interpretation of empirical data, or development and utilization of models including for what-if analysis;
- execute a larger, independent project including the development of a project plan with mile stones, the reporting of intermediate and final results, and writing a report or paper according to commonly applied scientific standards.

General competence
After completing the thesis, the student should have master-level competence in environmental systems analysis. The student should be able to apply and utilize this competence.

Learning methods and activities

Independent study, meetings with supervisor.

Specific conditions

Recommended previous knowledge

TEP5100 or similar.
TEP4220, TEP4222, TEP4223, TEP4285.