The main aim of the module is to equip the students with fundamental principles of theory and practical aspects of protein science that investigates the...

Biomolecular Structure and Function (BIOC0008)

Product Carbon Footprints|LCA|Environmental Product Declarations|Governance|Policy|Embodied Env

Pre-requisites: A basic knowledge of sustainability issues and an interest in governance.

This module examines the emergent monitoring and governance of...

Pre-requisites: A basic knowledge of sustainability issues and an interest in governance.

This module examines the emergent monitoring and governance of life-cycle environmental impacts of products, services and organisations. It draws mainly on the field of environmental policy and governance, complemented with sustainability science, business studies, sociology, and geography. The empirical focus will be on corporate and product environmental and carbon footprints as well as on their nexus to sustainable forestry certification in the area of the built environment. We will also work out important links to the wider field of environmental and climate governance. You will learn about the dynamic interplay between government regulation, private sector activity and sustainability science and be challenged to explore opportunities for interventions with the potential for catalytic impacts towards more sustainable resource use.

Summary: In design, having multiple conflicting objectives is the rule rather than the exception. This module will introduce you to a number of new tools and...

Multi Objective Design Optimisation (BENV0042)

Summary: In design, having multiple conflicting objectives is the rule rather than the exception. This module will introduce you to a number of new tools and methods to help tackle those design tensions. It will give you practical experience in framing and solving a multi-objective optimisation problem and explore design trade-offs, using 3D parametric modelling and environmental design tools together with advanced optimisation techniques.

Learning Outcomes:

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

Frame a multi-objective optimisation design problem, identifying the relative importance of the different design drivers and constraints;
	Use Grasshopper (3D parametric design tool for Rhino), DIVA for Rhino, optimisation plugins and be familiar with other environmental design plugins.
	Understand the different techniques and methods available and their advantages, disadvantages, limitations and challenges;
	Select an appropriate method for solving an optimisation problem;
	Critically review the outcome of the optimisation process;
	Understand the limitations and merits of multi-objective design optimisation in general, and know when and how to apply these techniques and methods.
Aims:

This module aims to introduce students to the concept and practice of Multi-Objective Design Optimisation (MODO), equip the students with a number of tools, including optimisation techniques and associated cutting edge parametric design tools. Critically the module also aims at developing practical skills on when and how to apply the different tools and techniques, and critically review the results.