Hi everyone,
I’m a Computer Science undergraduate from the Philippines, and I’m currently trying to decide on a thesis topic.
I’m particularly interested in AI and machine learning, especially working with models trained on data to make predictions (classification, forecasting outcomes, etc.). Things like training models, experimenting with datasets, and seeing how different approaches affect prediction performance really interest me.
I’ve also been looking at other CS areas like data analysis, software systems, and HCI, but I’m still not sure how to narrow everything down into something specific and doable for a thesis.
Right now, I’m trying to figure out:
How do you pick a good CS thesis topic that isn’t too broad or too trivial?
Is it better to focus on building a model/system or doing experimental analysis on existing models?
How do you know if a topic is “too ambitious” for an undergrad thesis?
I’m open to suggestions, but I want something realistic that I can finish within the timeframe and still present well.
If anyone has advice, examples of good AI/ML thesis topics, or things they wish they knew before choosing theirs, I’d really appreciate it.
Thanks in advance.