ILEM752 Communication and Artificial Intelligence

6 ECTS - 3-0 Duration (T+A)- . Semester- 3 National Credit

Information

Code ILEM752
Name Communication and Artificial Intelligence
Term 2024-2025 Academic Year
Term Spring
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Belirsiz
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Doç. Dr. Serkan BULUT
Course Instructor
1


Course Goal / Objective

The aim of this course is to contribute to graduate students' scientific research in the field of artificial intelligence and communication by increasing their critical thinking and questioning ability.

Course Content

This course explains the transformation of communication practices based on artificial intelligence, the effects of artificial intelligence on the phenomenon of communication and communication studies. Research on topics such as the history of artificial intelligence, natural language processing and big language models are examined.

Course Precondition

There is no prerequisite for the course.

Resources

Brunnhuber, S. (2024). The Third Culture: The Impact of AI on Knowledge, Society and Consciousness in the 21st Century. Springer Nature Switzerland, Imprint: Springer. Günay, M. A. (2023). İLETİŞİM BİLİMLERİNDEYAPAY ZEKA. Konya: Eğitim Yayınevi. Makridakis, S. (2017). The forthcoming Artificial Intelligence (AI) revolution: Its impact on society and firms. Futures, 90, 46-60. Hancock, J. T., Naaman, M., & Levy, K. (2020). AI-mediated communication: Definition, research agenda, and ethical considerations. Journal of Computer-Mediated Communication, 25(1), 89-100. Guzman, A. L., & Lewis, S. C. (2020). Artificial intelligence and communication: A human–machine communication research agenda. New media & society, 22(1), 70-86. Gunkel, D. J. (2012). Communication and artificial intelligence: Opportunities and challenges for the 21st century. communication+ 1, 1(1).

Notes

Turkish and English literature, articles, journals, magazines, newspapers, online resources and research reports appropriate to the course content.


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Explain basic concepts of artificial intelligence.
LO02 Distinguish the relationship between artificial intelligence and communication practices.
LO03 List the communication processes and ethical standards determined by artificial intelligence.
LO04 Examines research proposals addressing the relationship between artificial intelligence and communication.
LO05 Criticizes the relationship between generative AI and basic communication components.
LO06 Design propositions about new artificial intelligence and communication research.
LO07 Interpret the relationship between language and communicative AI.
LO08 Designs a communication research on artificial intelligence.
LO09 Criticizes current artificial intelligence research.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Have the conceptual and theoretical competence to explain the phenomena in Communication Studies disciplines. 4
PLO02 Bilgi - Kuramsal, Olgusal Have sufficient knowledge about the basic conceptual approaches used in the field of social sciences.
PLO03 Bilgi - Kuramsal, Olgusal He/she has knowledge of basic methodological approaches, methods, research techniques and their application and evaluation in communication and media studies. 5
PLO04 Beceriler - Bilişsel, Uygulamalı Identify local, national and international problems in the field of Communication Studies.
PLO05 Beceriler - Bilişsel, Uygulamalı Selects data collection and analysis techniques within the appropriate methodologies and applies empirical studies in order to solve these problems,
PLO06 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği She /he reports a social research she designed in the field of communication studies and turns it into original works in accordance with academic rules. 5
PLO07 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Gains the ability to analyze and synthesize the phenomena in the field of social sciences in an interdisciplinary context.
PLO08 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Leads and works effectively individually and/or in a team by taking responsibility. .
PLO09 Yetkinlikler - Öğrenme Yetkinliği She/he carryes her/his education to the next level of education. 4
PLO10 Yetkinlikler - İletişim ve Sosyal Yetkinlik He/she transfers his/her knowledge of the field in an effective and systematic way, both verbally and in writing. 5
PLO11 Yetkinlikler - Alana Özgü Yetkinlik Recognizes and applies social, scientific and professional ethical values.
PLO12 Yetkinlikler - Alana Özgü Yetkinlik Develops critical thinking skills. 4


Week Plan

Week Topic Preparation Methods
1 Definition of resources and introduction to artificial intelligence No prior preparation required Öğretim Yöntemleri:
Anlatım, Soru-Cevap
2 Communicative artificial intelligence technologies Exploratory reading from course materials Öğretim Yöntemleri:
Anlatım, Tartışma, Örnek Olay
3 Global artificial intelligence efforts Reviewing an exemplary international AI organization Öğretim Yöntemleri:
Soru-Cevap, Tartışma, Alıştırma ve Uygulama
4 History of artificial intelligence Reading course materials Öğretim Yöntemleri:
Tartışma, Anlatım
5 Artificial intelligence and media technologies Examining a sample application in the media Öğretim Yöntemleri:
Alıştırma ve Uygulama, Örnek Olay, Bireysel Çalışma
6 Language and artificial intelligence Reviewing an article focused on language and AI Öğretim Yöntemleri:
Tartışma, Alıştırma ve Uygulama, Örnek Olay
7 Natural language processing Reading materials on natural language processing Öğretim Yöntemleri:
Tartışma, Soru-Cevap
8 Mid-Term Exam Work to complete the assignment Ölçme Yöntemleri:
Ödev
9 Communication and artificial intelligence research Methodologically analyzing a sample scientific study Öğretim Yöntemleri:
Tartışma, Soru-Cevap, Örnek Olay
10 Development of a research proposal Examining case studies, reading lecture notes Öğretim Yöntemleri:
Tartışma, Alıştırma ve Uygulama
11 Methodology in artificial intelligence studies A case study review of the methodology Öğretim Yöntemleri:
Alıştırma ve Uygulama, Tartışma
12 Research design Examining case studies Öğretim Yöntemleri:
Tartışma, Alıştırma ve Uygulama
13 Big Data and AI Reading course materials on big data Öğretim Yöntemleri:
Tartışma, Soru-Cevap
14 The applications of AI in media and communication context Examining an example of AI applied in the media Öğretim Yöntemleri:
Beyin Fırtınası, Örnek Olay, Soru-Cevap
15 Ethical use of artificial intelligence Reading course materials Öğretim Yöntemleri:
Beyin Fırtınası, Tartışma
16 Term Exams Working to complete the assignment Ölçme Yöntemleri:
Ödev
17 Term Exams Working to complete the assignment Ölçme Yöntemleri:
Ödev


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 13 3 39
Out of Class Study (Preliminary Work, Practice) 13 5 65
Assesment Related Works
Homeworks, Projects, Others 1 1 1
Mid-term Exams (Written, Oral, etc.) 1 15 15
Final Exam 1 30 30
Total Workload (Hour) 150
Total Workload / 25 (h) 6,00
ECTS 6 ECTS

Update Time: 14.02.2025 07:23