COURSE UNIT TITLE

: ARTIFICIAL INTELLIGENCE APPLICATIONS IN PHOTOGRAPHY

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
FTZ 3045 ARTIFICIAL INTELLIGENCE APPLICATIONS IN PHOTOGRAPHY COMPULSORY 2 2 0 6

Offered By

Photography

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

MURAT KOCAKAPLAN

Offered to

Photography

Course Objective

As artificial intelligence capabilities play an active role in various aspects of life, they are also being utilized in the field of digital photography. With advancing technology, AI-powered tools are employed both during the photography process (object tracking, object detection, etc.) and in the post-processing stage (noise reduction, quality enhancement, manipulation, etc.). The objective of this course is to explain commonly used artificial intelligence applications in photography, teaching innovations in photo editing, and demonstrating how AI tools can be utilized to support artistic expression in photography.

Learning Outcomes of the Course Unit

1   Having knowledge about AI-assisted tools during the photography process,
2   Being informed about the latest AI applications,
3   Effectively utilizing AI applications in photo editing,
4   Exploring creativity through the use of AI,
5   Establishing a relationship between AI and digital photography to support artistic expression.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 What is artificial intelligence
2 AI assisted tools in the photography process
3 AI applications in photo editing
4 AI applications in photo editing
5 AI applications in photo editing
6 Assignment/Presentation
7 AI applications in photo editing
8 AI applications in photo editing
9 AI applications in photo editing
10 Midterm Exam (Assignment Submission)
11 Digital photo manipulation with artificial intelligence
12 Digital photo manipulation with artificial intelligence
13 Digital photo manipulation with artificial intelligence
14 Final Exam (Assignment Submission)

Recomended or Required Reading

https://helpx.adobe.com/tr/photoshop/using/generative-fill.html
https://helpx.adobe.com/tr/photoshop/using/neural-filters.html
https://docs.midjourney.com/

Planned Learning Activities and Teaching Methods

A theoretical and practical presentation will be made on artificial intelligence and its applications in photography.
-Described within the framework application is made subject.
Examples are shown in line-related topic
Issues-described application is done.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 PRC PRACTICE
2 ASG ASSIGNMENT
3 FCG FINAL COURSE GRADE PRC * 0.50 + ASG * 0.50


Further Notes About Assessment Methods

None

Assessment Criteria

Technical Skills (50%):

Proficiency in using AI tools and techniques.
Understanding of different AI models and algorithms and the ability to select them according to the application.
Ability to use image processing and editing skills.
Ability to create creative and original visuals.

Concept and Content (25%):

Producing work that is relevant to the given theme and subject.
Ability to use the visual language and aesthetic principles of photography.
Clear and effective communication of the intended story and message.
Ability to offer different perspectives and original interpretations.

Research and Experimentation (25%):

Researching different AI artists and their work.
Developing experimental and innovative approaches.
Ability to create your own visual language and style.

Language of Instruction

Turkish

Course Policies and Rules

Course attendance and in-class applications are essential

Contact Details for the Lecturer(s)

murat.kocakaplan@deu.edu.tr
0541 893 07 06

Office Hours

Wednesday 13:00-16:00

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 2 28
Tutorials 14 2 28
Preparations before/after weekly lectures 12 6 72
Preparing presentations 1 8 8
Project Assignment 1 4 4
Practical exam 1 4 4
TOTAL WORKLOAD (hours) 144

Contribution of Learning Outcomes to Programme Outcomes

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