Dadansoddeg o ddata sy'n Canolbwyntio ar Bobl yw fy mhrif ddiddordeb. Rwy'n ymddiddori yn y defnydd o ddulliau amrywiol i drawsnewid data strwythuredig a distrwythur yn wybodaeth ymarferol, gan alluogi'r defnyddiwr terfynol i gael mewnwelediad o setiau data enfawr. Y defnydd o ddadansoddiad Bioddelweddu ynghyd â thechnegau dysgu peirianyddol ar ddelweddau cellog a moleciwlaidd ar raddfa fawr, sy'n defnyddio trwygyrch uchel, yw fy maes ymchwil diweddaraf.
This module provides an introduction to several AI algorithms for engineering/physics problems. The specific engineering problems chosen to demonstrate the benefits offered by AI algorithms are 1) interpretation/processing of data from distributed sensors; 2) optimisation of material/device properties through physics informed neural network. The module teaches students basic statistical skills underpinning machine learning/artificial intelligence such as probability analysis and regression, as well as several case studies that use existing AI software to analyse engineering problems. Two assessments (exam and individual project, each carries 50%) for each term, designed to examine understanding of the basic machine leaning concepts and using the software to solve engineering problems, take place in the middle of term and end of term. Emphasis is placed on the use of existing software for tackling engineering problems.
This module offers a balanced, streamlined one-semester introduction to Engineering Statistics that emphasizes the statistical tools most needed by practicing engineers. Using real engineering problems students see how statistics fits within the methods of engineering problem solving and learn how to apply statistical methodologies to their field of study. The module teaches students how to think like an engineer when analysing real data. Mini projects, tailored to each engineering discipline, are intended to simulate problems that students will encounter professionally during their future careers. Emphasis is placed on the use of statistical software for tackling engineering problems that require the use of statistics.
The course introduces the students to experimental studies in a wide range of subjects. Each experiment is self contained and the student will present the findings in written form through a lab report which will have a set of experiment specific questions to answer. This written report also forms the basis for the assessment. All students work in groups and carry out five experiments which vary according to discipline, however the assignments are all individually submitted. The students keep a log-book of the experimental observations and results, which is used for reference for the technical report from each experiment written-up in the week after the experiment.
This course provides an introduction to the biology and mechanical properties of cells from an engineering prospective. The basic structures within the cell and the core processes of cell function will be covered and related to the interaction of cells within large populations and the growth of tissue. i.e.membrane bilayer, cytoskeleton, energy production, signalling, growth, division and genetic duplication. The fundamental principles will be related to specific areas of interest to medical engineers - technology developments, the risk of infection from medical implants and the use of stem cells for tissue engineering.
