Biochemical Engineering|Biochemistry and Molecular Biosciences|Biology|Biotechnology|Molecular Biology

The course provides students who have limited life science background with a rigorous introduction to those elements of the biosciences likely to have most...

The course provides students who have limited life science background with a rigorous introduction to those elements of the biosciences likely to have most relevance to interdisciplinary work in fields such as engineering or applied chemistry. The course also aims to introduce students to the requirements of bioscience research and to encourage them to develop skills they will need to succeed when collaborating with life scientists, or themselves carrying out biological research, in their future careers. Upon completion of the course, a student should be able to: • Acquire knowledge of macromolecules such as DNA and RNA • Appreciate protein structure and function • Learn cell metabolism and analytical techniques required to measure specific compounds • Appreciate the biology of eukaryotic organisms utilised in the bioprocessing sector like stem cell, algae, mammalian cell and yeasts • Learn about vaccines and immunity

Aims:

To equip students with a basic understanding of:


	the functions of the organization - namely marketing, operations management, human resource...

Dr Armando Castro Martins Brelaz De Castro

Aims:

To develop a learning portfolio as the basis for both enterprise and project management. Both critical (e.g. use of theory) and reflective thinking...

This module introduces a range of algorithmic techniques used for generating architecture, from parametric modelling to generative methods based on procedural...

This module introduces a range of algorithmic techniques used for generating architecture, from parametric modelling to generative methods based on procedural rules. These are presented first as independent techniques, but also in the context of optimisation, which re-quires the framing of explicit design objectives and computational methods for evaluation of designs. Each session describes the theory and implementation of a particular algorithm or computational method. It exposes students to the potential for computation to be used to enhance architectural process, and gives an appreciation of the cutting edge techniques currently being developed, so that they form a basis for onwards research by the student.