Information Package
baskent.edu.tr

Program of Communication and Design

İTA333

ARTIFICIAL INTELLIGENCE APPLICATIONS

Course Code
İTA333
Semester
-
Theory+Practice
3 + 0
ECTS
5
Course TypeElective Course
Course LevelBachelor's Degree
Year of Study-
Semester-
ECTS5
Name of Lecturer(s)
Learning Outcomes

At the end of this course, the students;

  1. Explain the Explain artificial intelligence technologies, their basic concepts, working principles, and their relationship with communication design.
  2. Produce original content in different media types such as text, visual, audio, and video by using various artificial intelligence tools.
  3. Evaluate the ethical, transparency, and privacy dimensions related to the use of artificial intelligence in communication design; integrate the content they produce within the integrity of a campaign and present it.
Mode of Delivery
PrerequisitesNo
Recommended Optional Programme Components
Course DescriptionThis course is a comprehensive practical course that aims to develop creative content production skills by using artificial intelligence?based applications. Within the scope of the course, students are taught how different media types such as text, visual, typography, photography, music, video, games, and presentations are produced with artificial intelligence, and it is aimed to provide students with competencies related to developing digital materials. As a learning outcome of the course, students are required to submit a project in which they present all the content they have produced within the integrity of a campaign.
Course Contents
WEEK TOPICS
1st Week Introduction: Explanation of the course scope, goals, and objectives
2nd Week The role of artificial intelligence technologies in design processes, ethics, and copyright issues
3rd Week Artificial intelligence?supported text generation and content creation
4th Week Artificial intelligence?supported image generation and manipulation
5th Week Creation of graphic design elements with artificial intelligence
6th Week Artificial intelligence?supported data visualization and infographic design
7th Week Artificial intelligence?supported audio and music applications
8th Week Midterm exam
9th Week Artificial intelligence?supported video and animation production
10th Week Character design, avatars, voice-over, and video applications with artificial intelligence
11th Week Game production with artificial intelligence
12th Week Presentation and project file preparation with artificial intelligence
13th Week Evaluation of project studies and feedback
14th Week Presentation and evaluation of final projects
15th Week
Recommended or Required ReadingKhullar, V., Sharma, V., Angurala, M. and Chhabra, N. (Eds.) (2024). Artificial intelligence and society 5.0: Issues, opportunities, and challenges (1st edition). CRC.
Kılıç, M. and Bozkuş Kahyaoğlu, S. (Eds.) (2024). Algorithmic discrimination and ethical perspective of artificial intelligence (1st edition). Springer.
Design. Zhou, X. (2022). Artificial intelligence art design - An extension of my brain (1st edition). Independent.
del Campo, M. (2022). Neural architecture: Design and artificial intelligence (1st edition). Applied Research
Nabiyev, V. (2021). Yapay zeka (6th edition). Seçkin.
Russell, S. and Norvig, P. (2021). Artificial intelligence: A modern approach (4th edition). Pearson.
Ambrose, G. ve Harris P. (2013). Yaratıcı tasarımın temelleri, İstanbul: Literatür.
Charniak, E. and McDermott, D. (1985). Introduction to artificial intelligence (1st edition). Addison-Wesley.
Planned Learning Activities and Teaching Methods
  • Lecture
  • Discussion
  • Questions/Answers
  • Project
  • Presentation
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 40
Total(%) 40
Contribution of In-term Studies to Overall Grade(%) 40
Contribution of Final Examination to Overall Grade(%) 60
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam 3 1 3
Preparation for Quiz
Individual or group work 3 30 90
Preparation for Final exam 1 10 10
Course hours 14 3 42
Preparation for Midterm exam 3 2 6
Laboratory (including preparation)
Final exam 1 2 2
Homework
Total Work Load153
Total Work Load / 30 (h)5.1
ECTS Credit of the Course5
Language of Instruction-
Work Placement(s)No

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