23/11/2020 Meeting

Questions

Discussions

Dissertation Info

• Introduction answers: What, Why and How (methodologies, technical choices).

• State of the art, look at related text. Similarities. What is it that I am doing different? Potentially other data browsers, other types of visualisations. Bespoke customer requests, not able to easily get this on market.

• Method: technological choices, certain libraries, certain structures etc. Why Python? Why the technical choices you made.

• Describe the implementations, classes, requirements, functionalities. These were requests, etc. Relationships between the classes. Tests etc.

• Evaluation: asking a few ppl to test (5 perhaps minimum) to do a task. Get a feedback. Quantitative and qualitative, assesses the system. Open comments at the end (suggestions for improvements). Interpret them, explain. Then provide suggestions on improving it.

• Conclusion chapter. Summarise what was done. Mention the main things I learned. What I've got out of it.

• Should start the less creative parts of the dissertation.