COURSE UNIT TITLE

: PHOTOGRAPHY AND AUGMENTED REALITY I

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
FTG 6111 PHOTOGRAPHY AND AUGMENTED REALITY I 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

Augmented Reality1 (AR1) is a technology that brings the real world together with the virtual world. The photographic image is a scientific and artistic study which needs to be explored with the feature of enriching the possibilities in terms of augmented reality.
In this course, it is aimed to make studies about the field theory.

Learning Outcomes of the Course Unit

1   To be able to thinking about the future art possibilities and designs
2   To be able to evaluate the potential of photographic data between real and virtual
3   To be able to artistic to scientific transformation in Art-related developments.
4   To be able to convert design process and outcome to text .
5   To be able to evaluate opportunities for professional and career development;

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 What is Augmented Reality What is the difference from virtual reality. Derivatives
2 What is Augmented Reality What is the difference from virtual reality.Derivatives
3 What is Augmented Reality What is the difference from virtual reality.Derivatives
4 What are the components of augmented reality
5 What are the components of augmented reality
6 Exploring VR and AR Technologies, tools, platforms.
7 Exploring VR and AR Technologies, tools, platforms.
8 Future and creative thinking
9 Future and creative thinking
10 Midterm
11 Interactive way of visualizing and creativity
12 Interactive way of visualizing and creativity
13 Creation to text
14 Creation to text

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
- Postmodern Modernliğin Düğünü , H.Bülent Kahraman, Radikal,22 Haziran 2001
- Popstar'ı Kazanan Pavyona Düşer , Radikal ,Neşe Düzel in Ünsal Oskay la Söyleşisi,5
Ocak, 2004
- 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

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

Friday16.00-17.00

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 3 39
Preparation about subject 13 2 26
Preparation for midterm exam 1 5 5
Preparation for final exam 1 10 10
Preparing assignments 1 5 5
Reading 5 5 25
Other (watching artwork belong to visual arts) 5 5 25
Midterm 1 3 3
Final 1 3 3
TOTAL WORKLOAD (hours) 141

Contribution of Learning Outcomes to Programme Outcomes

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