Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS Credits
5GİT377Artificial Intelligence Applications1+2+024

 
Course Details
Language of Instruction Turkish
Level of Course Unit Bachelor's Degree
Department / Program Visual Communication Design
Type of Program Formal Education
Type of Course Unit Elective
Course Delivery Method Face To Face
Objectives of the Course It is aimed for students to acquire the ability to produce visual design elements at a fundamental level using artificial intelligence tools.
Course Content It includes prompt commands and visual production practices with artificial intelligence tools. Theoretically, the concepts of cybernetics, Big Data, new media, and information aesthetics will be examined.
Course Methods and Techniques Course Delivery (Presentation), Application and Analysis of Artificial Intelligence Visual Production Archives.
Prerequisites and co-requisities None
Course Coordinator None
Name of Lecturers Asist Prof. Kusay Tatlı
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources Manovich, Lev, (1999) Avant-garde as Software http://manovich.net/index.php/projects/avant-garde-as-software
Mateas, M. (2001). Expressive AI: A Hybrid Art and Science Practice. Leonardo, 34(2), 147–153. http://www.jstor.org/stable/1577018
Hesiodos Theogonia
Course Delivery (Presentation), Artificial Intelligence Visuals and Prompt Archives.
Uygulama: Görsel ve Metin
Uygulama ve sunum.

Course Category
Social Sciences %10
Field %80

Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria
In-Term Studies Quantity Percentage
Mid-terms 1 % 40
Final examination 1 % 60
Total
2
% 100

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Course Duration 14 3 42
Hours for off-the-c.r.stud 14 3 42
Assignments 2 6 12
Mid-terms 1 6 6
Final examination 1 6 6
Total Work Load   Number of ECTS Credits 4 108

 
Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 Acquiring the fundamental skill of AI visualization.
2 Acquires basic-level prompt text creation skills.

 
Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 The concept of cybernetics and Plato. AI productions in the context of the art of navigation.
2 Norbert Wiener, the Concept of Cybernetics, Machine-Human Communication, the Concept of Feedback.
3 Information Aesthetics, Max Bense, Stuttgart School.
4 img2img genrate
5 Adam and Eve, Forbiden fruit artificial intelligence visual application
6 Donna Haraway and Cybernetic, Cyborg term
7 Midterm
9 The birth of Chaos and Eros
10 Hesiodos, Thegonia The union of Uranus (sky) and Gaia (Earth) AI video creation application
11 Cronus eating his children
12 Prometheus's order
13 Zeus's revenge Pandora
14 Final

 
Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12
All 4 2 4 5 3 1 2 1 2 2 4 5
C1 4 1 4 5 3 1 2 1 2 2 4 5
C2 4 2 4 5 3 1 2 1 2 2 4 5

  bbb

  
  https://obs.gedik.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=240197&curProgID=5717&lang=en