Course Information

Course Name	Turkish	Hesaplamalı Mekan Analizi
	English	Computational Space Anlaysis
Course Code	MIM 474E	Credit	Lecture (hour/week)	Recitation (hour/week)	Laboratory (hour/week)
Semester	-	4	3	-	-
Course Language		English
Course Coordinator		Derya Güleç Özer
Course Objectives		1. To examine spatial analysis techniques in urban and building scale, 2. To use the digital tools to visualize these analyzes 3. To develop algorithmic thinking skills. 4. To focus on computational analysis techniques as a design parameter, by undertaking conceptual and practical studies.
Course Description		Computational Space Analysis course focuses on the methods of spatial analysis; space layout planning, space syntax, wayfinding; user movements and accessibility, and the contribution of space accessibility and criteria to the field of design in terms of spatial analysis of the city or building scale.
Course Outcomes		1. To learn spatial analysis techniques, 2. To be able to apply spatial analysis techniques in digital environment, 3. To learn spatial techniques and apply them on built examples, 4. To be able to evaluate space design in this context by learning the concept and techniques of wayfinding. 5. To be able to use spatial analysis as a generative tool.
Pre-requisite(s)		.
Required Facilities		.
Other		.
Textbook		.
Other References		Ostwald, M.J., Dawes, M.J., (2019). The Mathematics of the Modernist Villa: Architectural Analysis Using Space Syntax and Isovists, Springer. 2. Hillier, B. (2014). Spatial analysis and cultural information: the need for theory as well as method in space syntax analysis. In book Spatial Analysis and Social Spaces: Interdisciplinary Approaches to the Interpretation of Prehistoric and Historic Built Environments, (eds.) Silvia Polla, Undine Lieberwirth & Eleftheria Paliou, De Gruyter. pp. 19-48. 3. Van Nes, A., (2014). Space Syntax in Theory and Practice. in book Geodesign by Integrating Design and Geospatial Sciences, (eds.) Danbi J. Lee, Eduardo Dias, Henk. J. Scholen, pp. 237-257, Springer. 4. Bechtel, R.B., Churchman, A. (2002). Environmental Psychology. John Wiley&Sons. 5. Netto, V.M., (2016). ‘What is space syntax not?: Reflections on space syntax as sociospatial theory’, Urban Design International, 21(25-40). 6. Lerman, Y., Rofe, Y., Omer, I. (2014). Using Space Syntax to Model Pedestrian Movement in Urban Transportation Planning. Geographical Analysis, 46:4 (392-410). 7. Ma, J., Lo, S.M., Song, W.G., Wang, W.L., Zhang, J., Liao, G.X., (2013). Modeling pedestrian space in complex building for efficient pedestrian traffic simulation. Automation in Construction, 30 (25-36). 8. Bafna, S. (2012). Rethinking genotype: Comments on the sources of type in architecture, The Journal of Space Syntax, 3:1 (69-80). 9. Karimi, K., (2012). A configurational approach to analytical urban design: ‘Space syntax’ methodology. Urban Design International, 17 (297-318) 10. Andrade I., Dorneles V., Bins Ely V.H.M. (2012). Accessibility for All: Going from theory to Practice, Work 41, 3840-3846.

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