Module summary: This module aims to enable students to become skilled users of tools to simulate the performance of buildings; develop a critical view of the...

Module summary: This module aims to enable students to become skilled users of tools to simulate the performance of buildings; develop a critical view of the use of simulation results; have a fuller understanding of the errors and confidence that can be placed on the results of such tools. Development of good practice and competence in the use of simulation will be developed by undertaking a series of modelling tasks; as part of the coursework, students are expected to develop their own modelling portfolio.

Intended Learning Outcomes: At the end of this course, students will be able to:

understand the underlying concepts & theories regarding the modelling & simulation of complex systems, of which buildings are one type;
	identify the types of modelling & simulation tools available for advanced building performance analysis & understand the limitations of application of each;
	establish the link between basic building physics concepts and their implementation by building simulation tools;
	understand principles of sensitivity and uncertainty analysis and quantify the impact of uncertain / unknown parameters to the accuracy of the outputs;
	become familiar with statistical programming tools for use within building simulation and data visualisation.

manufacture|stem cell|gene therapy|advanced therapy|viral vector

This module will provide an understanding of the requirements, opportunities and constraints of advanced therapy manufacturing practice, taking into account...

Biochemical Engineering|Biotechnology|Cell Biology|Molecular Biology|Synthetic Biology

Course content will encompass lectures covering the key topics of synthetic biology that are currently, or may in future be, applied to challenges in...

Course content will encompass lectures covering the key topics of synthetic biology that are currently, or may in future be, applied to challenges in industrial biotechnology and bioprocessing of biopharmaceuticals. Fundamental elements of what currently defines synthetic biology will be explained and explored. These elements will include concepts such as the standardisation of molecular biology techniques and resources (BioBricksTM), and the International Genetically Engineered Machines (iGEM) competition. Further topics will include introduction to areas relevant to:

- Industrial challenges in 'green' biosynthesis of high-value small molecules and biofuels; modelling of metabolic pathways, flux analysis of metabolism, pathway engineering, protein design, de novo pathway design and construction

- Cell-engineering for improved bioprocessing; design and modelling of novel genetic circuits, whole genome editing and construction, novel chassis and hosts.

- Engineering biological systems; mathematical modelling of synthetic gene networks

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

Acquire knowledge of commercial applications of Synthetic Biology and understand how these arise from interdisciplinary research
	Appreciate how to link information from different biological contexts can be used to build and design new elements, pathways, cells and systems