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Predictive Modelling


Admission requirements

  • Geographic Information Systems (GIS) obtained;

  • This is a seminar with a limited amount of participants (20 students), for Archaeology students exclusively;

  • This is not an optional course for the Archaeology BA3 programme. If you want to take this course as an extra-curricular course in your programme, you should ask permission from the Board of Examiners. You can only be admitted with permission, with proper argumentation, and only if there are spots left.


During this course you will apply your knowledge and skills in computer applications as obtained during the first and second years of the Bachelor Archaeology.
These skills will be applied in a realistic archaeological case study.

A desk assessment will be conducted for a small part on the Netherlands that combines two very characteristic Dutch landscapes: the Pleistocene moraine and the Holocene river areas.

Digital archaeological and environmental data will be collected, imported or digitised. Palaeo-geographic reconstruction and archaeological sites will be combined for several archaeological periods in order to interpret and predict the distribution patterns. The land use models should also include social factors.

Course set-up

Each week, two 4-hour sessions will take place. You will be working in small groups of 2 students, of which at least one should be able to read Dutch, since most of the resources (maps and literature) are only available in Dutch.

Course objectives

  • Ability to apply computers skills;

  • Knowledge of archaeological formation and deformation processes;

  • Regional spatial analysis based on find locations available in a national archaeological database (Archis);

  • Step-by-step experience in performing a desk assessment;

  • Ability to create, evaluate, describe and present archaeological predictive models.


Course schedule details can be found in MyTimetable.
Log in with your ULCN account, and add this course using the 'Add timetable' button.

Mode of instruction

  • Practicals with blogs;

  • Written assignment (map and paper).

Course load

  • 4 hours of lectures (introduction) + 48 hours of practicals (2 ec);

  • Approx. 100 pages of literature (1 ec);

  • Written assignment, approx. 3,500-4,000 words (2 ec).

Assessment method

  • Weekly blogs;

  • Mandatory attendance at practicals;

  • Digital map of the predictive model;

  • Report describing the production steps, choices and limitations of the predictive model.

A retake is only possible for the final report, but only if all other requirements, including the blogs, have been met.

Assessment deadlines

All assessment deadlines (exams, retakes, paper deadlines etc.) can be found in MyTimetable.
Log in with your ULCN account, and add this course using the 'Add timetable' button. To view the assessment deadline(s), make sure to select the course with a code ending in T and/or R.

Reading list

Will be provided by the lecturer, and will be supplemented with literature discovered by the students.


Registration in uSis is mandatory. You can register for this course until 5 days before the first class.

Registration in uSis automatically leads to enrollment in the corresponding Brightspace module. Therefore you do not need to enroll in Brightspace, but make sure to register for this course in uSis.

You are required to register for all lectures and tutorials well in time. The Administration Office registers all students for their exams, you are not required to do this in uSis.

Start registration for the BA2 seminars:

  • Series 1: 27 September 2021, 07:00 hrs

  • Series 2: 17 January 2022, 07:00 hrs

  • Series 3: 28 February 2022, 07:00 hrs


For more information about this course, please contact drs. M. (Milco) Wansleeben.


Compulsory attendance.