Big Data
Concepts, tools and analytical methods for large-scale data.
Teaching
Teaching and mentorship
Connecting theoretical concepts with practical, real-world computing.
Teaching philosophy
- Connect theory to practice: every concept is paired with a hands-on application.
- Develop analytical and computational thinking, not just tool familiarity.
- Encourage responsible, transparent and well-documented use of AI.
- Support creativity and problem-solving through real-world projects.
- Expect ethical, evidence-based work.
Teaching areas
Subject areas I teach and advise in.
Business Intelligence
Turning organisational data into decision support.
Human-Computer Interaction
Designing and evaluating usable interfaces.
Database Design and Administration
Modelling, building and operating databases.
Front-End Web Development
Building accessible, responsive web interfaces.
Application Development
Designing and implementing software applications.
Student project advising
I guide students through the full research and development cycle. No student names or work are shown without permission.
- Step 1
Formulate a clear problem
- Step 2
Review the literature
- Step 3
Design the system
- Step 4
Collect and analyse data
- Step 5
Implement the solution
- Step 6
Evaluate the results
- Step 7
Communicate the findings