This module targets a subset of students who wish to become expert in building, using and critically analysing energy-economic models. This process will involve significant hands-on modelling, and the module will cover: linear programming (LP), single/multi-objective optimisation, technology policy and diffusion, and training on small LP-based optimisation model, LEAP and OSeMOSYS energy systems models.

This is one of the advanced modules in the MSc in Economics and Policy of Energy and the Environment. Building from the core module (BENV0012: Introduction to Modelling, Methods and Scenarios), it will enable students to develop expert skills in the analysis and critically in the use of key energy modelling approaches. At the end of this module students should be able to:

• Fully critique and evaluate alternate energy-economic modelling approaches

• Understand the potential application of energy-economic models in a range of quantitative and analytical research questions

• Run, analyse and evaluate policy issues using simple energy modelling frameworks

Biochemical Engineering|Biochemistry and Molecular Biosciences|Biotechnology|Chemical Engineering|Manufacturing

The research project is an integral part of the EngD programme and serves to assess the students’ capacity to perform research. The research project will...

Biochemical Engineering: MRes Research Project (BENG0055)

The research project is an integral part of the EngD programme and serves to assess the students’ capacity to perform research. The research project will be closely related to the cutting edge research being carried out in the Advanced Centre for Biochemical Engineering. The course provides the underlying training in conducting literature search, experimental design, laboratory work, and collection of data and their analysis including conclusions and recommendations. Thesis writing and research presentation,

Upon completion of the course, a student should be able to:

Demonstrate a practical aptitude for laboratory research
	Gain basic research skills, become confident users of relevant equipment and learn experimental techniques
	Design their experimental plan and exercise creativity
	Organize, analyse and present data with statistical analysis
	Draw accurate conclusions from the data obtained and compare with the published literature
	Prepare a scientific poster and discuss the results obtained with an expert audience