TÜRKÇE
ENGLISH
Information
| Code | ILEM834 |
| Name | Artificial Intelligence and Media Research |
| Term | 2024-2025 Academic Year |
| Semester | . Semester |
| 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 Goal / Objective
This course aims to provide PhD students with the opportunity to comprehensively examine the impact of AI technologies on communication research.
Course Content
In this course, the theoretical foundations, applications and implications of artificial intelligence in the field of communication, ethical issues and future debates will be discussed.
Course Precondition
There is no prerequisite for the course.
Resources
Russell, S. J., & Norvig, P. (2016). Artificial intelligence: A modern approach. Malaysia: Pearson Education Limited. Gilbert, N., & Conte, R. (1995). Artificial societies. Taylor & Francis.
Notes
West, D. M., & Allen, J. R. (2018). How artificial intelligence is transforming the world. Report. April, 24, 2018.
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Explain the basic concepts of artificial intelligence. |
| LO02 | Explains the interaction processes between media and artificial intelligence. |
| LO03 | Explain the importance of artificial intelligence technologies for media organizations. |
| LO04 | Knows the basic directions in media research with artificial intelligence. |
| LO05 | Can present study proposals addressing the relationship between media and artificial intelligence. |
| LO06 | Can make critical inquiry about media research. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Belirsiz | Develops critical thinking skills. | 5 |
| PLO02 | Belirsiz | Have the conceptual and theoretical competence to explain the phenomena in Communication Studies disciplines. | 4 |
| PLO03 | Belirsiz | She/he has knowledge of basic methodological approaches, methods, research techniques and their application and evaluation in communication and media studies.(dişil) | 4 |
| PLO04 | Belirsiz | Identify local, national and international problems in the field of Communication Studies. | |
| PLO05 | Belirsiz | Gains the ability to analyze and synthesize the phenomena in the field of social sciences in an interdisciplinary context. | |
| PLO06 | Belirsiz | 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. | 4 |
| PLO07 | Belirsiz | He/she transfers his/her knowledge of the field in an effective and systematic way, both verbally and in writing. Gains the ability to give lectures, conferences and seminars. | 4 |
| PLO08 | Belirsiz | Have sufficient knowledge about the basic conceptual approaches used in the field of social sciences. | |
| PLO09 | Belirsiz | Takes responsibility, leads and works effectively individually and/or in a team. | |
| PLO10 | Belirsiz | Selects data collection and analysis techniques within the appropriate methodologies and applies empirical studies in order to solve these problems, | 5 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Definition of resources and introduction | Reading | Öğretim Yöntemleri: Tartışma |
| 2 | Introduction to artificial intelligence | Reading | Öğretim Yöntemleri: Tartışma |
| 3 | Artificial intelligence in history | Reading | Öğretim Yöntemleri: Tartışma |
| 4 | Artificial intelligence as a concept | Reading | Öğretim Yöntemleri: Tartışma |
| 5 | Artificial intelligence technologies in media | Reading | Öğretim Yöntemleri: Tartışma |
| 6 | Robot journalism as a phenomenon | Reading | Öğretim Yöntemleri: Tartışma |
| 7 | Artificial intelligence and ethics | Reading | Öğretim Yöntemleri: Tartışma |
| 8 | Mid-Term Exam | Ölçme Yöntemleri: Ödev |
|
| 9 | Artificial intelligence and actor network theory | Reading | Öğretim Yöntemleri: Tartışma |
| 10 | Artificial intelligence and big data | Reading | Öğretim Yöntemleri: Tartışma |
| 11 | Artificial intelligence and surveillance | Reading | Öğretim Yöntemleri: Tartışma |
| 12 | Artificial intelligence and the algorithm society | Reading | Öğretim Yöntemleri: Tartışma |
| 13 | Posthumanism and transhumanism | Reading | Öğretim Yöntemleri: Tartışma |
| 14 | Artificial intelligence and Society 5.0 | Reading | Öğretim Yöntemleri: Tartışma |
| 15 | Proposal design | Reading | Öğretim Yöntemleri: Tartışma |
| 16 | Term Exams | Ölçme Yöntemleri: Ödev |
|
| 17 | Term Exams | 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 | ||