Information Package / Course Catalogue
Artificial Intelligence Practices in Public Relations and Advertising
Course Code: HİR468
Course Type: Required
Couse Group: First Cycle (Bachelor's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 1
Prt.: 2
Credit: 2
Lab: 0
ECTS: 3
Objectives of the Course

The aim of the course "Applications of Artificial Intelligence in Public Relations and Advertising" is to enable students to understand how artificial intelligence technologies are used in the fields of public relations, advertising, brand communication, digital communication, and marketing communication. Within the scope of the course, students are expected to gain knowledge and practical skills in AI-assisted audience analysis, content creation, campaign design, media planning, social media management, crisis communication, measurement and evaluation, and reporting processes. Furthermore, the course aims to develop awareness of ethical principles, data privacy, copyright, transparency, and professional responsibility in the use of artificial intelligence.

Course Content

This course examines how artificial intelligence (AI) technologies are used in public relations and advertising. Topics covered include AI-assisted audience analysis, content creation, campaign design, media planning, social media management, crisis communication, measurement and evaluation, and reporting processes. Data privacy, ethical principles, copyright, transparency, and algorithmic bias are also addressed. Upon completion of the course, students are expected to be able to develop public relations or advertising campaigns using AI tools.

Name of Lecturer(s)
Learning Outcomes
1.It utilizes digital platforms and social media in the fields of public relations and advertising.
2.They possess data literacy skills.
3.They possess the competence to create and implement brand and communication strategies.
4.They know how to create public relations and advertising messages appropriate to the target audience.
5.It has the competence to analyze consumer behavior in traditional and digital media using scientific methods and to evaluate the unique dynamics of these media.
Recommended or Required Reading
1.Russell, S. & Norvig, P. (2021). Artificial Intelligence: A Modern Approach. Pearson.
2.Kaplan, A. (2022). Artificial Intelligence, Business and Civilization: Our Fate Made in Machines. Routledge.
3.OpenAI Blog: https://openai.com/blog
4.European Commission AI Act Information: https://digital-strategy.ec.europa.eu
Weekly Detailed Course Contents
Week 1 - Theoretical
public relations and the role of artificial intelligence in advertising.
Week 2 - Theoretical
Introduction to artificial intelligence: basic concepts, machine learning, generative AI, and large language models
Week 3 - Practice
Digital transformation in public relations and advertising; data-driven communication and AI-powered strategy development.
Week 4 - Theoretical & Practice
Using artificial intelligence in target audience analysis and generating consumer insights.
Week 5 - Practice
Artificial intelligence in advertising campaigns: creative idea generation, copy production, and visual content design.
Week 6 - Practice
Artificial intelligence in public relations applications: media relations, press releases, corporate communications, and reputation management.
Week 7 - Practice
AI in social media management: content planning, sentiment analysis, social listening, and engagement tracking.
Week 8 - Practice
Developing an AI-powered campaign idea
Week 9 - Practice
Artificial intelligence in media planning and ad targeting: programmatic advertising, personalization, and optimization.
Week 10 - Practice
AI in crisis communication: early warning systems, online reputation monitoring, and rapid response strategies.
Week 11 - Practice
AI-powered content creation tools: text, image, video, audio, and presentation applications.
Week 12 - Theoretical
Ethics, copyright, data privacy, and transparency: the limits of using AI in public relations and advertising.
Week 13 - Practice
AI-powered campaign measurement: performance analysis, reporting, KPIs, and data visualization.
Week 14 - Practice
AI-powered public relations or advertising campaign design
Assessment Methods and Criteria
Type of AssessmentCountPercent
Attending Lectures1%10
Quiz1%10
Practice Examination1%60
Midterm Examination1%20
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory4014
Lecture - Practice122136
Assignment35118
Project1224
Individual Work32315
TOTAL WORKLOAD (hours)77
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
PÇ-11
PÇ-12
PÇ-13
PÇ-14
PÇ-15
PÇ-16
PÇ-17
PÇ-18
PÇ-19
PÇ-20
PÇ-21
PÇ-22
PÇ-23
PÇ-24
PÇ-25
OÇ-1
3
5
1
4
1
4
4
2
OÇ-2
4
1
4
3
4
OÇ-3
4
4
3
5
3
3
5
4
4
2
4
4
OÇ-4
3
1
4
2
4
5
3
5
3
4
OÇ-5
5
4
4
5
3
2
5
4
4
4
5
4
4
Adnan Menderes University - Information Package / Course Catalogue
2026