Computational Archaeology: GIS, 3D Scanning and Remote Sensing

  • College of Archeology & Cultural Heritage |
  • English

Description

Through knowledge and understanding, students will be able to: • Assess the different methodology of technology to use to study and document cultural heritage • Compare and contrast the discourse between disciplines as art, archaeology, and information technology • Use computational archaeology methods and technique to synthesize digital data in cultural heritage research • Use digital methods such as photography and scanning efficiently • Use different software programs to design online exhibitions • Become familiar with 3D scanning techniques • Map different archaeological sites • Use satellite imagery effectively • Use vector geographic data • Use raster images • Geo-reference data • Carry out a spatial analysis Through intellectual skills, students will be able to: • Develop a critical perspective on computational archaeology is changing the field of traditional archaeology • Critique spatial analysis done in the past • Decide which technological method to use based on the result • Become aware of the rapid change of technology and how it will affect the state of the current data Through professional and practical skills, students will be able to: • Read satellite images • Geo-reference data • Use 3D scanning • Mesh raster data on vector data • Conduct spatial analysis • Use remote sensing Through general and transferable skills, students will be able to: • Use different problem-solving techniques • Apply multi-disciplinary research • Apply theory to practice • Work in a group • Become technologically savvy

Program

Egyptian Archaeology

Objectives

  • This course aims at providing students with a wide range exposure to computational archaeology. It will also provide students with practical training on the different technologies and software programs that will be useful in the future jobs and academic training. The course will also introduce students to the different analytical, statistical and computational approaches for archaeological interpretation. The course will focus on state-of-the-art techniques in Geographic Information System (GIS), Remote Sensing, 3D scanning, and Photogrammetry. The course will also try when possible, to use opensource programs and so students can continue working on them independently after they graduate.

Textbook

Barcelo, J. A. Computational Intelligence in Archaeology. Information Science Reference, 2008.

Course Content

content serial Description

Markets and Career

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