Research theme · 29 selected briefs
These topics ask how a model, dataset or analytical method behaves under a stated set of conditions. They span computing, statistics and selected applied fields where the research question genuinely uses a data method.
A software build is different from a statistical analysis: each brief identifies whether the work evaluates a model, studies data quality or compares an analytical method. Dataset access and evaluation criteria need to be settled before implementation.
Artificial Intelligence · Computer vision
This Artificial Intelligence final year project examines checking plant-image classification under background and lighting changes through a bounded AI prototype with an explicit baseline and evaluation dataset.
Read the proposed briefComputer Science · Artificial intelligence methods
This Computer Science final year project investigates comparing search heuristics on bounded sliding-tile puzzles, with an explicit prototype scope and a reproducible evaluation plan.
Read the proposed briefData Science · Data quality
This Data Science final year project investigates measuring how source revisions alter previously reported indicators, with explicit data definitions and reproducible analysis rather than invented findings.
Read the proposed briefHealth Information Management · Data quality
This Health Information Management final year project examines which demographic fields are missing most often in a defined synthetic outpatient-record sample? The proposed evidence is synthetic records with documented field definitions, interpreted only for this defined research question.
Read the proposed briefStatistics · Predictive inference
This Statistics final year project uses simulated regression data with independent test observations to investigate a specific question in predictive inference. The analysis is designed around known generating conditions so that the behaviour of competing statistical procedures can be checked.
Read the proposed briefArtificial Intelligence · Computer vision
This Artificial Intelligence final year project examines measuring recognition changes when writing styles differ from training examples through a bounded AI prototype with an explicit baseline and evaluation dataset.
Read the proposed briefComputer Science · Computer vision
This Computer Science final year project investigates grouping visually similar photographs without relying on identical file hashes, with an explicit prototype scope and a reproducible evaluation plan.
Read the proposed briefData Science · Data quality engineering
This Data Science final year project investigates detecting common structural errors before spreadsheet tables enter an analysis, with explicit data definitions and reproducible analysis rather than invented findings.
Read the proposed briefHealth Information Management · Data quality
This Health Information Management final year project examines how consistently are dates represented across a set of fictional clinic registers? The proposed evidence is synthetic register extracts containing controlled date-format variation, interpreted only for this defined research question.
Read the proposed briefArtificial Intelligence · Computer vision
This Artificial Intelligence final year project examines testing whether generated training variation helps recognition of real licensed images through a bounded AI prototype with an explicit baseline and evaluation dataset.
Read the proposed briefComputer Science · Machine learning
This Computer Science final year project compares a small set of classification methods on a verified, licensed research dataset, with a focus on data leakage and fair evaluation.
Read the proposed briefData Science · Machine learning evaluation
This Data Science final year project investigates assessing performance bias when outcome labels arrive late or selectively, with explicit data definitions and reproducible analysis rather than invented findings.
Read the proposed brief