COURSE UNIT TITLE

: PHOTOGRAPHY AND AUGMENTED REALITY II

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
FTG 6112 PHOTOGRAPHY AND AUGMENTED REALITY II ELECTIVE 3 0 0 6

Offered By

Photography

Level of Course Unit

Third Cycle Programmes (Doctorate Degree)

Course Coordinator

ASSOCIATE PROFESSOR SADIK TUMAY

Offered to

Photography

Course Objective

The aim of the Augmented Reality 2 (AR 2) course is to investigate the scientific knowledge of the design resulting from the change in the representation of photographic information and to create the necessary texts.

Learning Outcomes of the Course Unit

1   To be able to a better understanding of the concepts and processes of Augmented Reality
2   To be able to construct the relationship between photography and Augmented reality
3   To be able to discover the innovative feature of photography in Augmented Reality
4   To be able to form the text of scientific knowledge related to this new context
5   To be able to evaluate and interpret scientific knowledge

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Augmented reality, photography and text translations
2 Augmented reality, photography and text translations
3 Augmented reality, photography and text translations
4 Theories of innovation dynamics and art
5 Theories of innovation dynamics and art
6 Theories of innovation dynamics and art
7 Augmented Reality and Augmented Perception
8 Augmented Reality and Augmented Perception
9 Photographic mapping and augmented reality
10 Midterm
11 Context interpretation
12 Context interpretation
13 Creating text for augmented reality and photo context
14 Creating text for augmented reality and photo context

Recomended or Required Reading

Turk, M., & Ko¨lsch, M. (2004). Perceptual interfaces. In G. Medioni and S. B. Kang
(Eds.), Emerging topics in computer vision. Englewood Cliffs, NJ: Prentice Hall.
- Haller M, Drab S, Hartmann W (2003) A real-time shadow approach for an
augmented reality application using shadow volumes. In: Proceedings of VRST 03,
-A.E.Savakis, S. P. Etz, and A. C. P. Loui, Evaluation of image appeal in consumer
photography, in Proc. SPIE: Human Vis. Electron. Imaging, vol. 3959, no. 1, 2000.
-R.Datta, J.Li, and J.Z.Wang, Algorithmic inferencing of aesthetics and emotion in
naturalimages: An exposition, in Proc. IEEE Int. Conf. Image Process. 2008
- S. Daly, The visible differences predictor: An algorithm for the assessment of image
fidelity in Digital Images and Human Vision. Cambridge, MA, USA: MIT Press, 1993
- A. Yoshida, V. Blanz, M. K. and H.-P. Seidel, Perceptual evaluation of tone mapping
operators with real-world scenes, in Proc. SPIE: Human Vis. Electron. Imaging, 2005
-Alan B. Craig,Understanding Augmented Reality: Concepts and Applications, Morgan
Kaufman, 2013
-Papagiannis Helen, Augmented Human: How Technology Is Shaping the New Reality, "O'Reilly Media, Inc.",2017
- Linowes Jonathan, Babilinski Krystian, Augmented Reality for Developers,Packt
Publishing Ltd, Birmingham, 2017
- Ariso José María, Augmented Reality, CPI Books GmbH, Germany,2017
- Raby, Fiona (2001). Design Noir: The Secret Life of Electronic Objects. Basel: Birkhäuser.
- Bellman, K. L.: Self-Conscious Modeling . In: it Information Technology 4, 2005
- Dreyfus, H. L.: Husserl, Intentionality, and Cognitive Science, Cambridge Ma.: MIT Press,
1982
-Mainzer, K.: Information: Algorithm Probability Complexity Quantum computer
Life Brain Society, Berlin: Berlin University Press, 2016
-Metz, R. (): Augmented Reality Is Finally Getting Real . In: Technology Review, 2012

- Brandes, Uta (2009). Designtheorie und Designforschung (in German). Paderborn: Wilhelm
Fink.

Planned Learning Activities and Teaching Methods

-Current literature is shared with students
-Research contexts are determined
- Interactive discussion environment is created regarding the content of the course.
-Course contents are supported by using different media.
-Planings are made in line with the goal of producing scientific articles.
-The city and current related to events are participated
- Participation in scientific and artistic meetings (congresses, symposiums, exhibitions, etc.) is supported.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 ASG ASSIGNMENT
3 PAR PARTICIPATION
4 FCG FINAL COURSE GRADE
5 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + ASG * 0.20 + PAR * 0.10 + FN * 0.40
6 RST RESIT
7 RST RESIT


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

Assessment method is based

Language of Instruction

Turkish

Course Policies and Rules

Complying with the course hours and following up to related activities

Contact Details for the Lecturer(s)

Doç.Dr.Sadık Tumay
D.E.Ü Güzel Sanatlar Fakültesi Fotoğraf Bölümü
02323016702
sadik.tumay@deu.edu.tr

Office Hours

Friday 16.00-17.00

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 8 3 24
Literature review and presentation 1 2 2
Preparation for midterm exam 1 5 5
Preparation for final exam 1 10 10
Preparing assignments 1 5 5
Reading 5 20 100
Midterm 1 3 3
Final 1 3 3
TOTAL WORKLOAD (hours) 152

Contribution of Learning Outcomes to Programme Outcomes

PO/LO
LO.1
LO.2
LO.3
LO.4
LO.5