POV4355 Advertising PhotographyBahçeşehir UniversityDegree Programs ARTIFICIAL INTELLIGENCE ENGINEERINGGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
ARTIFICIAL INTELLIGENCE ENGINEERING
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
POV4355 Advertising Photography Spring
2 2 3 5
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction: English
Type of course: Non-Departmental Elective
Course Level: Bachelor’s Degree (First Cycle)
Mode of Delivery: Face to face
Course Coordinator : Instructor DELIZIA FLACCAVENTO
Recommended Optional Program Components: None
Course Objectives: This course aims to introduce the students the technical aspects of advertising photography and assist them in putting their knowledge into practice.

Learning Outcomes

The students who have succeeded in this course;
1. Understand advertising photography within its historical practices.
2. Identify various applications in the genre.
3. Gain ability to practice advertising photography in studio and on location.
4. Show dexterity in practical aspects of advertising photography.
5. Demonstrate ability to operate post-production softwares related to advertising purposes.

Course Content

Students will engage with technical aspects of photographic illustration inside the setting of a studio. Photo illustration is based on a vocabulary of sets, still lives, models, as well as a grammar of a complex system of cameras, films and lighting, and the creation of totally controlled images to be used in fine arts, commercial world and editorial areas.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Understanding the advertising characteristics of advertising photography, location, tools and techniques.
2) CRITICS OF THE STUDENT WORK Assignment 1
3) Rules of studio photography. Tools used in advertising photography. Creating a mood through lighting. Working on the assignments.
4) CRITICS OF THE STUDENT WORK Assignment 2
5) Composition Rules I Working on the assignments.
6) CRITICS OF THE STUDENT WORK Assignment 3
7) Composition rules II. point of view and shooting plans. Creating a classic campaign. Working on the assignments.
8) Mid-term presentations Working on the presentation.
9) Guest Photographer Working on the assignments.
10) CRITICS OF THE STUDENT WORK Assignment 4
11) Advertising photography. Production process, from creative idea to print. Using photoshop photography resources in advertising. Working on the assignments.
12) CRITICS OF THE STUDENT WORK Assignment 5
13) CRITICS OF THE STUDENT WORK Working on the assignments.
14) Final Study Preparation for Final Assignment

Sources

Course Notes / Textbooks: 1. Marshall, H. (1989). Art-directing photography. Oxford: Phaidon.
2. Salomon, Allyn (1982) Advertising photography. New York: American Photographic Book Pub.
References: Other sources may include:

1. www.ilford.com
2. www.sinar.com
3. www.ar-studio.com/Portfolios/
4. www.jimappleton.com/Ads-01.htm
5. www.ericmeola.com
6. www.the-lightbox.com/Marketing/
7. www.grafixoncall.com/Photography.html
8. www.studiohl.gr/
9. meta4sapporo.com/english/top.html
10. www.bga-photo.co.uk/index2.html
11. www.photographe-de-mode.com/photos-de-mode-couleur.html
12. www.5thfloorstudios.com/commercial.html
13. www.mira.com
14. www.picturesque.com
15. freestockphotos.com
16. www.photosource.com
17. Creative options (1996) New York:American Showcase.

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Homework Assignments 5 % 50
Midterms 1 % 10
Final 1 % 40
Total % 100
PERCENTAGE OF SEMESTER WORK % 60
PERCENTAGE OF FINAL WORK % 40
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 4 56
Study Hours Out of Class 13 4 52
Homework Assignments 5 4 20
Midterms 1 1 1
Final 1 1 1
Total Workload 130

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Have sufficient background in mathematics, science and artificial intelligence engineering.
2) Use theoretical and applied knowledge in the fields of mathematics, science and artificial intelligence engineering together for engineering solutions.
3) Identify, define, formulate and solve engineering problems, select and apply appropriate analytical methods and modeling techniques for this purpose.
4) Analyse a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods in this direction.
5) Select and use modern techniques and tools necessary for engineering applications.
6) Design and conduct experiments, collect data, and analyse and interpret results.
7) Work effectively both as an individual and as a multi-disciplinary team member.
8) Access information via conducting literature research, using databases and other resources
9) Follow the developments in science and technology and constantly update themself with an awareness of the necessity of lifelong learning.
10) Use information and communication technologies together with computer software with at least the European Computer License Advanced Level required by their field.
11) Communicate effectively, both verbal and written; know a foreign language at least at the European Language Portfolio B1 General Level.
12) Have an awareness of the universal and social impacts of engineering solutions and applications; know about entrepreneurship and innovation; and have an awareness of the problems of the age.
13) Have a sense of professional and ethical responsibility.
14) Have an awareness of project management, workplace practices, employee health, environment and work safety; know the legal consequences of engineering practices.