Course Information

Course Name	Turkish	Peyzaj Mimarlığında Özel Konular
	English	Special Topics in Lands.Arch.
Course Code	PEM 523E	Credit	Lecture (hour/week)	Recitation (hour/week)	Laboratory (hour/week)
Semester	-	3	3	-	-
Course Language		English
Course Coordinator		Hayriye Eşbah Tunçay
Course Objectives		To teach data collection and analysisi techniques To explore the utilization of Big Data in Landscape Architecture and to shoe the techniques to process the data
Course Description		This course deals with the Big Data and Artificial Intelligence technologies and its implementation in Landscape Architecture
Course Outcomes		The outcome will be a panel & paper analyzing big data for a specific site.
Pre-requisite(s)		No prerequisites
Required Facilities		Python 3.9.17 (*only 3.9.17) & PyCharm R & R Studio (New release)
Other		Mid-term exam 20% (Text Mining Practice Test) + Final exam 20% (Site Analysis Project Presentation) + Final submission 40% (Site Analysis Project Panel) + Attendance 10% + Attitude(extra) 10%
Textbook		Silge, J., & Robinson, D. (2017). Text mining with R: A tidy approach. " O'Reilly Media, Inc.". Choi, C., Lee, J., Machado, J., & Kim, G. (2022). Big-data-based text mining and social network analysis of landscape response to future environmental change. Land, 11(12), 2183. Brown, M., Murtha, T., Wang, L., & Wang, Y. (2020). Mapping landscape values with social media. Journal of Digital Landscape Architecture, 5, 542-548.
Other References