Artificial Intelligence In Communication Studies
Public Relations and Publicity
Institute of Social Sciences
Third Cycle (Doctorate Degree)
| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Artificial Intelligence In Communication Studies | HIT123 | Elective | Doctorate degree | 1 | Fall | 6 |
Name of Lecturer(s)
Associate Prof. Dr. Banu KÜÇÜKSARAÇ
Learning Outcomes of the Course Unit
1) Defines the concept of artificial intelligence.
2) Explain the development of artificial intelligence.
3) Knows the concept of big data from artificial intelligence technologies and applications and its applications in the field of communication.
4) Knows the concept of chatbot from artificial intelligence technologies and applications and its applications in the field of communication.
5) Knows the concept of internet of things and its applications in the field of communication from artificial intelligence technologies and applications.
6) Knows the concept of extended reality from artificial intelligence technologies and applications and its applications in the field of communication.
7) Knows and evaluates the artificial intelligence extension communication studies of institutions and brands.
Program Competencies-Learning Outcomes Relation
| Program Competencies | ||||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | ||
| Learning Outcomes | ||||||||||
| 1 | No relation | High | High | Middle | High | High | Middle | High | High | |
| 2 | High | High | High | Middle | High | High | High | Middle | High | |
| 3 | High | High | Middle | High | High | High | High | Middle | High | |
| 4 | High | High | High | High | High | Middle | High | Middle | High | |
| 5 | High | Middle | High | High | High | Middle | High | High | Middle | |
| 6 | Middle | Low | Middle | High | High | High | High | Middle | High | |
| 7 | High | Middle | Middle | High | Middle | Middle | Low | Middle | High | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
Public Relations Planning and Management
Course Contents
This course is designed to inform students about the use of artificial intelligence in the field of communication. In this context, the use of artificial intelligence-based technologies and applications such as artificial intelligence, big data, chatbot, internet of things, augmented reality, virtual reality, augmented reality in fields such as public relations, advertising, journalism, cinema, television will be examined within the scope of the course.
Weekly Schedule
1) The concept of artificial intelligence and its historical development2) Big data and its applications in the field of communication
3) Chatbot and its applications in the field of communication
4) İnternet of things and its applications in the field of communication
5) Extended reality and its applications in the field of communication
6) Case studies for the communication studies of corporations and brands with artificial intelligence extension
7) Case studies for the communication studies of corporations and brands with artificial intelligence extension
Recommended or Required Reading
1- Bourne, C. (2019). AI cheerleaders: Public Relations, Neoliberalism and Artificial Intelligence. Public Relations Inquiry, 8(2), 109–125.
2- Coppin, B. (2004). Artificial Intelligence Illuminated. USA: Jones and Barlett Publishers.
3- Ilıcak Aydınalp, Ş. G. (2020). Halkla İlişkiler Perspektifiyle Yapay Zekâ. Turkish Studies- Social, 15(4), 2283-2300.
4- Sütçü, C. & Aytekin, Ç. (2018). Veri Bilimi. İstanbul: Paloma Yayıncılık.
5- Sucu, İ. (2019). Yapay Zekanın Toplum Üzerindeki Etkisi ve Yapay Zekâ (A.I.) Filmi Bağlamında Yapay Zekaya Bakış. Uluslararası Ders Kitapları ve Eğitim Materyalleri Dergisi,, 2 (2), 203-215.
6- Sucu, İ. & Ataman, E. (2020). Dijital Evrenin Yeni Dünyası Olarak Yapay Zeka Ve Her Filmi Üzerine Bir Çalışma. Yeni Medya Elektronik Dergisi, 4 (1), 40-52.
Planned Learning Activities and Teaching Methods
1) Lecture
2) Question-Answer
3) Discussion
4) Drill and Practice
5) Case Study
Assessment Methods and Criteria
Contribution of Quiz to Course Grade |
30% |
|---|---|
Contribution of Final Examination to Course Grade |
70% |
Total |
100% |
Language of Instruction
Turkish
Work Placement(s)
Not Required