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[26-27 September 2013, Cyprus] Methodologies in analyzing structured and semi-structured archaeological data for knowledge extraction


A two-day training course in the framework of the NARNIA project

26-27 September 2013

Nicosia, Cyprus



G.M EuroCy Innovations Ltd invites you to a two-day training course organized within the framework of the NARNIA ITN (


(You may also download the current version of the seminar programme, at: NARNIA-EuroCy-TrainingCourse-Programme-CY-2013-v1.0)

1. Title of the course

“Methodologies in analyzing structured and semi-structured archaeological data for knowledge extraction”

2. Reaching audience

  • NARNIA fellows
  • Students, researchers and employees of NARNIA full-partner and associated partner organizations
  • Fellows of other Marie Curie projects
  • Students and researchers from Universities outside NARNIA


First priority will be given to NARNIA fellows. Second priority will be given to external applicants with background in archaeology, archaeometry, knowledge engineering, computational intelligence, statistics or other similar subjects.

3. What is it about?

The objectives of the training course are:

  • To offer a spherical understanding of the state-of-art methods currently employed in the analysis of archaeological data;
  • To offer a basic knowledge of key machine learning and computational intelligence methodologies for the analysis of structured and semi-structured data;
  • To offer understanding of how the above methods could be applied in the archaeological domain;
  • To offer participants the possibility of being engaged in practical group-workshops and acquire hands-on experience in the application of some data analysis methods;

4. Where?

The course will be held in the Classic Hotel, 94 Rigenis str., 1513 Nicosia, Cyprus. The Hotel is located in a nice and convenient location within the old Nicosia town.

5. Do I get any certificate for participation?

Participants will receive a certificate of attendance listing the offered and acquired skills.

6. Language

The training course will be offered in English. This holds for all activities, including lectures, workshops, as well as panel discussions.

7. Description of the training content

Preparation: No particular preparation is required. Participants will receive detailed information about travelling, accommodation and training agenda.

  • The content of the training course is the following:
    • Day 1 morning lectures cover theoretical aspects on the current practices in the analysis of archaeological data.
    • Day 1 afternoon workshops cover practical aspects on the analysis of key methods and their subsequent application on structured and semi-structured data samples (e.g. numerical data, nominal text, images for pattern recognition).
    • Day 2 morning lectures cover theoretical aspects on machine learning and other computational intelligence methodologies that could serve the archaeological domain.
    • Day 2 afternoon workshops aim to demonstrate the application of the methods discussed during the morning sessions on real data.
  • Lectures will be delivered by experienced and established academics and professionals in the fields.
  • Lectures will be given using on-screen presentations through projectors/beamers. Handouts will also be provided to all trainees well in advance.
  • During the workshops participants will be called to participate in group discussions and also work and practice in groups for the application of acquired knowledge.
  • The course will be, in general, as interactive as possible, allowing and stimulating discussions among the participants, for sharing experiences and individual work.
  • Participants will be called to fill-in an evaluation questionnaire, so as to assess the quality of the training course as well as the trainers.

Follow-up: After the end of the training course, participants are expected to have gained a good understanding on the course material and how to further implement and advance the taught practices. Organizers will be at trainees’ disposal during the follow-up period through the following means:

  • Contact details of participants will be collected (upon their consent) during the training days.
  • A specific workspace will be created on the online collaboration platform hosted by the organizer, dedicated to the communication and exchange of information between participants. The discussions will be open to outside contributors as well. The workspace will also offer integration with well known social media and networking services.

8. Detailed programme of the training activities:

(Both days will be completed by 18:00)

Day 1

Part I – Theoretical training – Current and state-of-art practices
9:00 Registration and introduction to the course
9:30 Pre-course survey/discussion aiming at mapping the trainees’ needs and expectations to the course objectives
10:00 Lecture 1: “Integration of analytical data and metadata in the study of archaeological ceramics” (Dr Anno Hein, N.C.S.R. “Demokritos”, Greece)
11:00 Break
11:30 Lecture 2: “Chemical characterization of pottery and statistical data treatment: Fundamental issues and practicalities” (Prof. Jaume Buxeda i Garrigós, Cultura Material i Arqueometria UB (ARQUB, GRACPE), Dept. de Prehistòria, Història Antiga i Arqueologia, Facultat de Geografia i Història, Universitat de Barcelona, Catalonia, Spain)
12:30 Open discussion and Q&A session
13:00 Lunch

Part II – Workshops I

14:30 Workshop I-A: “Statistics in Archaeology: basic concepts and tools” (Demetrios Eliades, G.M EuroCy Innovations Ltd, Cyprus)

16:00 Break

16:15 Workshop I-B: “The R programming language and software environment for statistical computing and graphics and its R Commander graphical user interface (GUI)” (Prof. Jaume Buxeda i Garrigós, Cultura Material i Arqueometria UB (ARQUB, GRACPE), Dept. de Prehistòria, Història Antiga i Arqueologia, Facultat de Geografia i Història, Universitat de Barcelona, Catalonia, Spain)

19:30 Social event, Dinner together (at participant’s own costs)

Day 2

Part III – Theoretical training
9:00 Lecture 3: “An introduction to pattern recognition algorithms” (Dr Georgios Mitsis, Department of Electrical and Computer Engineering, University of Cyprus, Cyprus)
10:00 Break
10:15 Lecture 4: “Data Mining applied: Successful Practices for Intelligent Systems” (Dr Andreas Symeonides, Department of Electrical and Computing Engineering, Aristotle University of Thessaloniki, Greece)
11:15 Break
11:30 Short 30’ presentations:

i) Liza Charalambous (G.M EuroCy Innovations Ltd, KIOS Research Center for Intelligent Systems and Networks – University of Cyprus)

ii) Uros Damnjanovic (The Cyprus Institute): “Documentation of decision making process in the analysis of digital heritage objects”

13:00 Lunch

Part IV – Workshops II

14:30 Workshop II-A: “Using the Weka tool for data mining” (Andreas Symeonides, Aristotle University of Thessaloniki, Greece)

16:00 Break

16:15 Workshop II-B: “Computational Intelligence: Fuzzy systems, Semantic Knowledge Modelling” (Demetrios Eliades and George Milis, G.M EuroCy Innovations Ltd, Cyprus)

17.45 Questionnaires to evaluate the course

9. Attendance fees:

The course is funded by the Marie Curie Programme within the framework of the NARNIA ITN and it is offered free of charge to the participants. However, participants are expected to assume their own travelling and accommodation expenses.

10. Interesting! How can I register?


Please, contact us at for any questions you may have, keeping the word [NARNIA] at the beginning of your message’s subject.


We acknowledge the technical support of the Cyprus Chapter of the IEEE Computational Intelligence Society, in defining the training material and trainers of the course.