Information Package / Course Catalogue
| Psychology | |||||
| Bachelor | Length of the Programme: 4 | Number of Credits: 240 | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF: Level 6 |
Ders Genel Tanıtım Bilgileri
| School/Faculty/Institute | Faculty of Arts, Design and Architecture | ||||
| Course Code | ARC 436 | ||||
| Course Title in English | Smart Spaces | ||||
| Course Title in Turkish | Akıllı Mekanlar | ||||
| Language of Instruction | EN | ||||
| Type of Course | Flipped Classroom | ||||
| Level of Course | Advanced | ||||
| Semester | Spring | ||||
| Contact Hours per Week |
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| Estimated Student Workload | 126 hours per semester | ||||
| Number of Credits | 5 ECTS | ||||
| Grading Mode | Standard Letter Grade | ||||
| Pre-requisites |
ARC 202 - Architectural Design IV | INT 202 - Interior Design II |
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| Expected Prior Knowledge | 4 semesters of design studio | ||||
| Co-requisites | None | ||||
| Registration Restrictions | Only Undergraduate Students | ||||
| Overall Educational Objective | To learn to understand how “smart” technologies are gradually changing the spaces we inhabit, different applications of ICT in the domain of interior, architectural and urban design and using these technologies to improve the quality of our living and working spaces. | ||||
| Course Description | This course introduces the applications of “smart” technologies within the context of design in various spatial scales. The course has 3 modules: “Smart” Technologies – “Smart” Spaces – Beyond “Smart” Spaces. In the first module, students will gain a general knowledge about ICT; its roots and applications in various domains. Then, in the second module, students will achieve a specific knowledge on the applications of ICT in the domain of interior, architectural and urban design. Finally, in the last module, students will be equipped with critical knowledge which will enable them to think beyond “smart” technologies and develop their own creative scenarios about how ICT could support our daily life in in spatial terms. | ||||
| Course Description in Turkish | Bu ders, “akıllı” teknolojilerin farklı mekansal ölçeklerdeki uygulamaları konusuna giriş niteliğindedir ve 3 modülden oluşmaktadır: “Akıllı” teknolojiler, “Akıllı” Mekanlar, “Akıllı” Mekanların Ötesinde. İlk modülde, enformasyon ve iletişim teknolojilerinin temelleri ve farklı alanlardaki uygulamaları konusunda genel düzeyde bilgi verilecektir. İkinci modülde, enformasyon ve iletişim teknolojilerinin iç mekan, mimari tasarım ve kentsel tasarım alanlarına özgü uygulamaları hakkında detaylı bilgi verilecektir. Son modülde ise, öğrencilere, “akıllı” teknolojilerin ötesinde düşünebilme ve bu teknolojilerin mekânsal anlamda gündelik hayatı nasıl iyileştirebileceğine dair kendi yaratıcı senaryolarını geliştirme yetisi kazandıracak eleştirel bilgi sağlanacaktır. |
Course Learning Outcomes and CompetencesUpon successful completion of the course, the learner is expected to be able to:1) 1. understand how the concept of “smart” technologies changes our daily life and the spaces we inhabit; 2) 2. appreciate different applications of “smart” technologies in interior, architectural and urban design; 3) 3. critically think towards the use of “smart” technologies in interior, architectural and urban design; 4) 4. create scenarios about the application of “smart” technologies in different spatial scales; 5) 5. apply digital literacy skills towards translating “smart” technology-based concepts into the realm of interior design. |
| Program Learning Outcomes/Course Learning Outcomes | 1 | 2 | 3 | 4 | 5 |
|---|---|---|---|---|---|
| 1) Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology. | |||||
| 2) Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation. | |||||
| 3) Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes. | |||||
| 4) Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts. | |||||
| 5) Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline. | |||||
| 6) Internalization and dissemination of professional ethical standards. | |||||
| 7) Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences. | |||||
| 8) Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level). | |||||
| 9) Recognition, understanding, and respect for the complexity of sociocultural and international diversity. | |||||
| 10) Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement. | |||||
| 11) Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses. | |||||
| 12) Ability to acquire knowledge independently, and to plan one’s own learning. | |||||
| 13) Demonstration of advanced competence in the clarity and composition of written work and presentations. |
Relation to Program Outcomes and Competences
| N None | S Supportive | H Highly Related |
| Program Outcomes and Competences | Level | Assessed by | |
| 1) | Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology. | N | |
| 2) | Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation. | N | |
| 3) | Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes. | H | Exam,HW,Participation |
| 4) | Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts. | N | |
| 5) | Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline. | N | |
| 6) | Internalization and dissemination of professional ethical standards. | N | |
| 7) | Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences. | N | |
| 8) | Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level). | N | |
| 9) | Recognition, understanding, and respect for the complexity of sociocultural and international diversity. | S | Participation |
| 10) | Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement. | S | HW,Participation |
| 11) | Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses. | N | |
| 12) | Ability to acquire knowledge independently, and to plan one’s own learning. | S | Exam,HW |
| 13) | Demonstration of advanced competence in the clarity and composition of written work and presentations. | H | Exam,HW |
| Prepared by and Date | AHU SÖKMENOĞLU , January 2021 |
| Course Coordinator | AKTS1 |
| Semester | Spring |
| Name of Instructor | Öğr. Gör. AHU SÖKMENOĞLU |
Course Contents
| Week | Subject |
| 1) | Introduction and General Overview to the Class + Syllabus Review Introduction to “Smart” Spaces |
| 2) | “Smart” Technologies Glossary |
| 3) | Human Computer Interaction |
| 4) | [1 “smart” concept + 1 smart question]: in-depth analysis and discussion of a concept related to “smart” technologies which will be developed by students |
| 5) | “Smart” Things |
| 6) | “Smart” Interfaces |
| 7) | “Smart” Spaces |
| 8) | “Smart” Cities |
| 9) | [1 “smart” space + 1 smart question]: in-depth analysis and discussion of a “smart space” which will be developed by students |
| 10) | Eco Perspectives for “Smart” Spaces |
| 11) | Participatory Perspectives for “Smart” Spaces |
| 12) | Critical Perspectives for “Smart” Spaces |
| 13) | [1 “smart” design idea]: creative scenarios about the application of “smart” technologies in different spatial scales |
| 14) | [1 “smart” design idea]: creative scenarios about the application of “smart” technologies in different spatial scales |
| 15) | Final examination period |
| 16) | Final examination period |
| Required/Recommended Readings | Rheingold, H. (1985). Tools for Thought: The History and Future of Mind-Expanding Technology. Simon & Schuster/Pretentice Hall. Negroponte, N. (1995). Being Digital. Alfred A. Knopf, Inc. Mitchell, W. J. (1996). City of Bits: Space, Place, and the Infobahn (On Architecture) MIT Press. Green, K. E. (2016). Architectural Robotics Ecosystems of Bits, Bytes, and Biology. MIT Press Gerrish, S. (2018). How Smart Machines Think. MIT Press. Bridle, J. (2018). New Dark Age: Technology and the End of the Future. Verso. Iannone, R., Gurashi, R., Iannuzzi, I., de Ghantuz Cubbe, G., Sessa, M. (2020) Smart Society : A Sociological Perspective on Smart Living. Routledge. Sharma, L. (ed.) (2021). Towards Smart World: Homes to Cities Using Internet of Things. Chapman and Hall/CRC. | |||||||||||||||
| Teaching Methods | The course will have presentations by the instructors as well as extensive discussion by the class. The course follows the ‘Flipped classroom’ model, with all readings available to the students prior to class. | |||||||||||||||
| Homework and Projects | 2 Individual, 1 Group Project | |||||||||||||||
| Laboratory Work | - | |||||||||||||||
| Computer Use | Yes | |||||||||||||||
| Other Activities | - | |||||||||||||||
| Assessment Methods |
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| Course Administration |
ahusokmenoglu@gmail.com - Students are required to attend % 70 of the classes in theoretical courses. Consequently, absenteeism exceeding 4 weeks (classes) will result in failure. %70 Attendance is essential for this course. Most of the class time will be allocated to discussion of weekly topics. Students have to be prepared and upload their weekly assignments before coming to class late submissions take points off. All students are responsible for behaving personally and academically in a way that is expected from a university student. That behavior includes but is not limited to respecting views and ideas of peers; not being involved in discriminating behavior concerning race, religious beliefs, sexual orientation; always using one’s own ideas in their projects. Academic Dishonesty and Plagiarism: YOK Disciplinary Regulation |
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ECTS Student Workload Estimation
| Activity | No/Weeks | Hours | Calculation | ||||
| No/Weeks per Semester | Preparing for the Activity | Spent in the Activity Itself | Completing the Activity Requirements | ||||
| Course Hours | 14 | 1 | 3 | 1 | 70 | ||
| Homework Assignments | 14 | 4 | 56 | ||||
| Total Workload | 126 | ||||||
| Total Workload/25 | 5.0 | ||||||
| ECTS | 5 | ||||||