The computational analysis of space, structure and other aspects of architecture facilitates an understanding of the complexities of the built environment. A...

The computational analysis of space, structure and other aspects of architecture facilitates an understanding of the complexities of the built environment. A number of methods are introduced in this module, including the simulation of natural vision, machine learning algorithms and intelligent systems, with an emphasis on their application in design-related domains from agent simulation to structural engineering. This content is presented in the context of its implications in the creative process, emergent behaviour and relevance to design. The module forms an important theoretical basis for the creation of architecture via the generative methods presented within the Computational Synthesis module.

This module provides students with a knowledge and understanding of conservation practice. Lectures and demonstrations cover the techniques and processes of...

Module description

The module explores the different natures of archaeological enquiry in different parts of the world, which themselves operate...

The rationale of this theory-based module is to give the students an understanding of the history, concepts and rational behind MIS and how we have reached the...

The rationale of this theory-based module is to give the students an understanding of the history, concepts and rational behind MIS and how we have reached the current state of play in surgery.

This will include a thorough understanding of the literature and to critically appraise the evidence behind the adoption of minimally invasive surgery (MIS), and to understand why certain MIS techniques are not adopted.

This course will equip the students with a detailed understanding of how MIS benefits patients, healthcare systems and the risk involved in such surgery. Moreover, students will be taught how to develop these concepts into building and assessing MIS training models.

Aims of the module:

For students to understand the generic principles of MIS and how it evolved
	To demonstrate knowledge (theoretical and clinical relevance) on the benefits and potential pitfalls of MIS
	To critically appraise the current evidence of MIS and how MIS can be used in different surgical disciplines
	To demonstrate knowledge on the implementation of safe training programmes and how affiliated imaging technologies can improve surgery
Learning outcomes:

The students will learn the fundamental theories governing the use of MIS
	The advantages and disadvantages of MIS different approaches
	The understand the current literature regarding MIS
	To understand how to build and assess training programmes in MIS 