Akademik Dersler - Tanıtım

Last Updated: 30/09/2026

Code - Course Title	Course Type	Laboratory + Practice	ECTS
HİR340 - Artificial Intelligence Assisted Public Relations Content D.	VI. SEMESTER	2 +2	5.0

Language of Instruction	Türkçe
Course Type	Area Elective Courses
Course Instructor(s)	PROF. DR. SEVİL BAYÇU
Mode of Delivery	This course is conducted as face-to-face education only.
Place of Delivery
Used Educational Platforms
Prerequisites	This course has no prerequisites or co-requisites.
Courses Recomended	It is recommended that students who will take this course also take RHI 206 Introduction to Public Relations, RHI 202 Theory and Practice in Public Relations
Recommended Resources
Work Placement	Yok
Aims of the Course

Weeks	Learning Outcomes	Topics	Teaching Methods
Week - 1		Introductions and informing the students about the course
Week - 2		Productive Artificial Intelligence: The concept of artificial intelligence and productive artificial intelligence, the difference of productive artificial intelligence from artificial intelligence, the transformation of the public relations profession with productive artificial intelligence, examples of applications with productive artificial intelligence in public relations.
Week - 3		Responsible and Conscious Use of Generative AI: Strengths and weaknesses of generative AI, risks, ethical principles and regulations in the use of generative AI.
Week - 4		Working with Artificial Intelligence: Working logic of generative AI, Prompt engineering concept, controlling generative AI and asking the right question, describing the need correctly, writing prompts for visualization models.
Week - 5		Implementation: Situation analysis (objective, target audience analysis, message strategy and slogan) using traditional methods and generative AI
Week - 6		Application: Public relations articles, news writing, press releases using traditional methods and generative AI
Week - 7		Midterm exam
Week - 8		Application: News letter, interview using traditional methods and generative AI
Week - 9		Application: Brochures, booklets, posters using traditional methods and generative artificial intelligence
Week - 10		Application: Radio spots and banners supported by traditional methods and generative artificial intelligence
Week - 11		Implementation: Social media content can be produced through traditional methods and generative AI-powered
Week - 12		Implementation: Social media content can be produced through traditional methods and generative AI-powered
Week - 13		Implementation: Social media content can be produced through traditional methods and generative AI-powered
Week - 14		Final exam

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Assessment Method and Passing Requirements
	Quamtity	Percentage (%)
Toplam (%)