This module will provide students with solid technical skills on different methods and technologies for the production of three-dimensional computer-generated visualisations for the presentation, interpretation, and dissemination of historical and archaeological datasets. Students will learn how do research for the digital reconstruction of past places and structures, how to use a diverse range of tools to model and analyse such environments, how to record the decision-making process and appropriate metadata, how to use processes and products to interpret complex data, and finally, how to digitally publish 3D models.

The module will familiarise students with the concept of three-dimensionality, while it will present different mechanisms to convert two-dimensional data into meaningful three-dimensional representations. It will also introduce them to the main theoretical debates in the fields, especially regarding photorealism and the notion of reconstruction. During the module, students will develop an expertise in industry standard software, such 3dsMax Design and SketchUp.


Teaching/ Learning Methods

Students will be introduced to the theory and method of modelling data in three-dimensions and will work under the instructor’s supervision on different 3D modelling and computer graphics software using step by step handouts. Classes will also encourage active learning through group activities and critical thinking exercises. Projects and real-world scenarios that require research, collaboration, decision-making, and synthesis will help students to develop their research capabilities and further their skills in 3D Visualisation. Learning methods also include unsupervised practical exercises, use of electronic tutorials, various media, and online learning resources.



Contact Hours: 36 hours (3h/week) > Lectures & Lab
Non-contact Hours: 200 hours
Total: 10 ECTS (24h X ECTS)

Contact hours are in the form of a 1hour session of teaching followed by a 2h long lab practical. This might be adjusted based on the students’ needs. Students are strongly advised to undertake private study and practice on the various methods taught throughout the semester.