Professor Tim Ritchings
Tim is interested in the development and evaluation of novel Intelligent Systems that involve the digital signals and images, using Pattern Recognition and AI techniques to help in their interpretation and understanding of the data. His focus has been on effective and reliable systems that address significant real-world issues in both medicine and industry. In addition to traditional signal and image analysis techniques, he has expertise with using Knowledge/Rule based systems, fuzzy reasoning, Artificial Neural Networks, and Genetic Programming in the context of signals and images techniques. He also has expertise in visualisation techniques to support the signal and image analysis, and development of Augmented Reality applications using hand-held devices.
Those researchers employing quantitative methodologies are required to take Econometrics with Financial Applications module from the Department of Economics (30 credit module). They also need to take at least one of the existing MSc Investments and MSc International Accounting and Finance courses and one other module to successfully complete 60 credits of study. The MSc module and one other appropriate M or D level module should be chosen in agreement with the doctorial researcher’s supervisor, as appropriate for the their research topic. Modules available include: Financial Modelling and Forecasting Techniques (20 credits), Empirical Topics in Accounting and Finance (20 credits) and Quantitative Methods in Finance (10 credits). Doctoral researchers are also recommended to take Advanced Training Modules from the MA Social Research Programme or other modules (. Qualitative Methods) as appropriate to their research and training needs.