Honours and Masters project

Are you interested in biomedical? You could combine your data science and computing expertise to analyse DNA and genetics.

Introductory programming remains a significant challenge for many students. A large factor impacting success is each student's motivation to engage with assessment and practice exercises. One strategy for improving student engagement is to offer multiple assessment options.

Building a robust and trustworthy (semi-)autonomous agent requires us to build a consistent picture of the state of the world based on the data received from some perception module.

Do you play any classical music instruments, like piano or violin? Would you like to combine your advanced music skills with computer science. This project analyses classical music using computer science techniques.  

Traditional marketing analytics rely on predictive models that estimate the probability of customer behaviours such as churn or purchase. However, these models identify customers who are likely to act, not those whose behaviour can be influenced by an intervention. Uplift modelling addresses this limitation by estimating the causal effect of a marketing intervention on individual customers, enabling firms to target those whose behaviour is expected to change as a result of treatment rather than those who would act regardless.

The suitability of a search method for solving an optimisation problem instance depends on the structure of the fitness landscape of that instance. A fitness landscape in the context of combinatorial optimisation problems refers to the search space of possible solutions, the fitness function, and the neighbourhood operator.

Project description

This research project aims to explore how researchers are investigating various epistemic emotions that arise within educational contexts. Through a combination of literature review, citation and bibliometric analysis, this project will uncover trends in the field and may guide future directions. The outcome of this research is expected to be a peer-reviewed publication that may provide a valuable addition to your CV.

Podcasts have become a very popular way for small communities to create content that is meaningful for them and reach a wider audience. However, many of the skills and equipment needed to produce a good podcast are inaccessible to non-professionals and there is often a learning curve attached to gain necessary skills. In addition, the production process is seen as an individual effort (one or two producers working in isolation to produce the final edit).

Do you play any classical music instruments, like piano or violin? Would you like to combine your advanced music skills with computer science. This project analyses classical music using computer science techniques.

Commonsense reasoning refers to the ability of capitalising on commonly used knowledge by most people, and making decisions accordingly. This process usually involves combining multiple commonsense facts and beliefs to draw a conclusion or judgement. While human trivially performs such reasoning, current Artificial Intelligence models fail, mostly due to challenges of acquiring relevant knowledge and forming logical connections between them. This project aims to develop and evaluate machine learning models for commonsense reasoning, with question answering as the key application.