University: Alexandria University

Faculty: faculty of Arts

Department: Greco-Roman department

Course Description


1- Basic Information

Course code:

3D Laser-scanning  

Academic Program: Museum Studies

Course Type: Practical Training Module                     

Hours: theoretical / practical

2- Course Aims

Overview and objectives:

This course aims to:

  • Highlight the potentials of utilizing Laser scanning techniques as an effective tool to digitize, replicate, and represent cultural heritage objects, including landscapes, sites, features, and artifacts.
  • Offer new techniques to students to explore digital tools which give better understanding of the theoretical and technical issues that have to be addressed in the documentation of cultural heritage objects.
  • Demonstrate ways to choose the most compatible equipment and techniques necessary for documenting and recording different cultural heritage contents in terms of volume, type, material, and place, and for which purposes

3- Intended Learning Outcomes

  • Knowledge and Understanding

By the end of this course students should be able to apply Laser scanning techniques in data acquisition and analysis and to extract different forms of information output, such as site plans, profiles, sections, DEM models, and maps.

  • Professional skills
The students should be able to deal with various set of equipment (handheld devices, marker and light sources), also Data processing software, in addition to 3D modeling software and visualization platforms.

4- Course Contents

Topics covered by this course include:  

  • Introduction and Course Overview
  • 3D Laser-scanning: History & theory
    historical backgrounds and early attempts to recent times to develop the concept for cultural heritage documentation and presentation purposes.
  • Data acquisition techniques
    implementing the acquisition methods based on the requirements and deliverables, also the cultural material nature, such as artifacts collection, landscapes, building and architecture
  • Point cloud processing, 3D modeling
    Circumstances and challenges for optimizing and transforming row data into new digital formats
  • Data visualization and presentation
    Integrating developed 3D models with many shapes of available data sets for wider sharing on visualization and multi display platforms

5- Teaching and Learning Methods

A number of theoretical and practical sessions will be carried out, As well as self-learning activities, in addition to presenting the final results of each trainee for reviewing

6- Students Assessment

  • Assessment methods

Participation in session’s activities, Exercises, and field training.

Providing final report on the acquired technical skills.

Case studies assessment