Kyberszittya Research and Robotics
Language

Thesis FAQ and key guidance

A short orientation page for thesis work, practical expectations, and the most important things to know before starting.

Before starting

  • Choose a topic that is narrow enough to finish well, but meaningful enough to demonstrate real engineering or research value.
  • Clarify the expected outcome early: literature review, prototype, experiment, software artifact, dataset, or system integration.
  • Agree on the language of the work and presentation in advance, especially if the topic is developed in both Hungarian and English contexts.
  • Start collecting references from the beginning so the final writing phase is not separated from the technical work.

Working together

  • Keep progress visible through short updates, versioned files, and clearly named milestones.
  • Bring partial drafts early. It is much easier to improve a rough chapter or prototype than to repair a full late-stage submission.
  • Document decisions, assumptions, and open questions while working, not only at the end.
  • When software is involved, keep the repository runnable and reproducible so evaluation and continuation stay straightforward.

Deliverables and expectations

  • The written thesis should explain the problem, context, method, implementation, evaluation, and conclusions in a coherent structure.
  • Figures, tables, and experimental results should support the argument, not just decorate it.
  • Code, experiments, and references should be organized so another person can understand what was done and why.
  • A strong thesis shows both technical execution and reflective thinking about limitations, tradeoffs, and future work.

Most important things to know

  • Do not leave writing to the final weeks. Write continuously alongside the implementation.
  • Make the scope realistic. A finished and well-evaluated smaller system is better than an oversized unfinished one.
  • Back up everything: text, code, figures, data, and notes.
  • Ask questions early when something is unclear. Small uncertainties tend to become large delays if they remain implicit.