CONS711 AI FOR HERITAGE BUILDINGS AND SITES
| Course Code: | 8560711 |
| METU Credit (Theoretical-Laboratory hours/week): | 3 (2.00 - 2.00) |
| ECTS Credit: | 8.0 |
| Department: | Graduate Program in Conservation of Cultural Heritage |
| Language of Instruction: | English |
| Level of Study: | Graduate |
| Course Coordinator: | |
| Offered Semester: | Fall and Spring Semesters. |
Course Objectives
Course Content
This course aims to provide a broad overview of AI, offering insights into some of the most commonly
employed AI and machine learning (ML) concepts in heritage buildings and sites. By delving into some of
the fundamental principles, available tools and their applications, the course seeks to empower students
not only as mere users of these technologies but as proficient applicators capable of seamlessly integrating
ML into their future workflows. To enable this, the course will provide comparative examples of how
traditional workflows in the adaptation and preservation of heritage buildings and sites can be supplanted
and bolstered by ML technologies to make them more efficient and effective. While most of the concepts
and tools will be illustrated over exemplar application from the literature, the students will also be provided
with lab work enabling them to have hands on experience with ML tools. Ultimately, the course enables
students to unleash their potential for innovation at a whole new level.