Requirements

1. Objectives

To introduce the student in advanced methods of data analysis
To present the field of intelligent data analysis as a novel research and application domain.
To induce the necessity of intelligent data analysis methods by studying some relevant practical applications
To offer the student the instruments that will allow him/her to develop different data analysis applications.

All activities require physical class participation. This is a full attendance, not a distance learning program.
According to the National Education Act (1/2011), the recording of didactical activity by any means is only possible by explicit agreement of the teaching person. Consequently, no recording of any didactical activity, by any means and on any support, is allowed.
This is a research oriented class. Your grade will be based on your own work and on your understanding of it, including your ability to explain, defend and analyse your work and your results.
The students are invited to contact me individually, by email, at their own initiative, for any clarifications, explanations, consultations on class-relevant topics, research-relevant topics, or for required support or supervision for class-based activities.

Each student will select particular real-world problems whose solving implies the use of data analysis algorithms, problem that considered to be interesting and/or important, but not an artificially created problem.
The student will report on his/her own actual and real experiments. This is not a collective work, and any assistance other than the student's own mind is not welcome. The reports will convincingly show that the experiments and their analyses have actually been performed by the student. The reports will include the personal motivation for all the choices made.
Explain how the problem is approached and solved using the data analysis algorithms of your choice. You will need to present all the experimental details in full clarity, a critical analysis of the whole problem+solution setup, including your own understanding of the AI modelling of the problem, the relevance of the research method used, qualitative and quantitative analysis of the experimental results obtained, etc.
Any report that contains plain text with no supporting floating bodies will be rejected. This is not an essay on English language and literature.

The two experimental studies will use different data sets.
If the first experimental study does not use more different data sets (i.e. from different topics), it will be rejected.
If the second experimental study will use a data set that is not completely different to any of the data sets used in the first experimental study, then the second experimental study will be rejected.