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Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Course Introduction and Application Information

Course Code	Course Name	Semester	Theoretical	Practical	Credit	ECTS
COM1616	Introduction to AI and Prompt Techniques	Spring	2	2	3	5

Basic information

Language of instruction:	English
Type of course:	Must Course
Course Level:	Bachelor’s Degree (First Cycle)
Mode of Delivery:	Face to face
Course Coordinator :	RA EREN DEMİRKIRAN
Course Lecturer(s):	Instructor CAN BÜYÜKALKAN RA EREN DEMİRKIRAN
Course Objectives:	The aim of this course is to provide students with a comprehensive understanding of prompt design and engineering, focusing on communication, interaction, and development applications with AI technologies. The course is structured into three modules: Fundamentals of Prompt Design, Advanced Prompt Techniques, and Workflow Automation. By the end of the course, students will be adapt at designing and implementing effective prompts in various contexts,

Learning Outcomes

The students who have succeeded in this course;
1) Understands the evolution of AI and its current applications in communication.
2) Masters fundamental and advanced prompt design techniques.
3) Applies engineering skills to real world scenarios such as Marketing, Advertising, Public Relations, Crisis Communications, communications design, and new media.
4) Utilizes various digital platforms and applications to enhance AI interaction.
5) Analyzes and solve complex use cases using advanced prompting techniques.
6) Implements workflow automation in communication processes.
7) Develop critical thinking and problem-solving and systems thinking skills specific to AI applications.
8) Appreciate ethical considerations in AI and communication.

Course Content

Introduction to AI: Fundamentals, History, Types, and Applications of AI
Introduction to Prompt Engineering: What is a Prompt, Why is it Important, Characteristics of a Good Prompt
Basic Prompt Techniques: Zero-Shot Learning, Few-Shot Learning, Keyword-Based Prompts
Advanced Prompt Techniques: Chain-of-Thought, Role-Playing, Sampling
Application with Text-Based AI Tools: Practical Exercises with Tools Like ChatGPT, Bard
Application with Visual-Based AI Tools: Practical Exercises with Tools Like Midjourney, DALL-E 2
Prompt Optimization: Methods for Improving Prompts, Trial and Error, Gathering Feedback
The teaching methods to be used are:
Lecture: Explanation of the lesson topics to the students.
Individual Work: Students doing individual AI applications
Project Preparation: Students preparing projects related to their fields using AI

Weekly Detailed Course Contents

Week	Subject	Related Preparation
1)	Orientation
2)	Evolution of AI
3)	Prompt Structure & Prompt Types
4)	Prompt Formula Refinement
5)	One Shot and Multi Shots Prompt Techniques
6)	Advanced Prompt Techniques and Use Cases
7)	Midterm Exam
8)	AdvancedPrompting CoT & Self Assurance Techniques
9)	Tree of Thoughts Prompting Technique
10)	Advanced Prompt Techniques Continue
11)	Workflow Automation Fundamentals
12)	Implementation of Use Case Scenarios
13)	Vector Shift Introduction
14)	AI Application Design
14)	AI Application Design

Sources

Course Notes / Textbooks:
References:

Evaluation System

Semester Requirements	Number of Activities	Level of Contribution
Quizzes	1	% 10
Midterms	1	% 30
Final	1	% 60
Total		% 100
PERCENTAGE OF SEMESTER WORK		% 40
PERCENTAGE OF FINAL WORK		% 60
Total		% 100

ECTS / Workload Table

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	4	56
Study Hours Out of Class	14	4	56
Quizzes	1	3	3
Midterms	1	3	3
Final	1	3	3
Total Workload			121

Contribution of Learning Outcomes to Programme Outcomes

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	To prepare students to become communication professionals by focusing on strategic thinking, professional writing, ethical practices, and the innovative use of both traditional and new media	3
2)	To be able to explain and define problems related to the relationship between facts and phenomena in areas such as Advertising, Persuasive Communication, and Brand Management	2
3)	To critically discuss and interpret theories, concepts, methods, tools, and ideas in the field of advertising	2
4)	To be able to follow and interpret innovations in the field of advertising	5
5)	To demonstrate a scientific perspective in line with the topics they are curious about in the field.	3
6)	To address and solve the needs and problems of the field through the developed scientific perspective	2
7)	To recognize and understand all the dynamics within the field of advertising	3
8)	To analyze and develop solutions to problems encountered in the practical field of advertising	3