Prompt Engineering (SE445) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Prompt Engineering SE445 Area Elective 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type Elective Courses
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Discussion, Drill and Practice, Team/Group.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives
Course Learning Outcomes The students who succeeded in this course;
  • Learn effective prompt-writing techniques.
  • Explore how to use AI-powered tools in academic and professional settings.
  • Develop the ability to critically assess the accuracy of information
  • Discuss the ethical aspects of AI usage
Course Content Introduction to LLMs and Prompt Engineering. Deepening Interaction with Prompts. Using Prompts for Problem Solving and Creativity. Prompt patterns. Debugging Prompts: Why Didn't It Work? Boosting Personal Productivity and Efficiency with Prompt Engineering. Prompt Engineering Across Disciplines.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introduction to LLMs and Prompt Engineering Book #1, Chapter 1: Introduction to Prompt Engineering Book #2– Chapter 1: What is Prompt Engineering? Book #3– Chapter 1: Introduction to Generative AI and LLMs Book #4– Chapter 1: Introduction to LLMs
2 What is Prompt Engineering? Book #1, Chapter 2: Basics of Prompt Engineering Book #2, Chapter 2: Definition of Prompts Book #3, Chapter 2: Types of Prompts and Prompt Structure Book #4, Chapter 2: Crafting Effective Prompts
3 Deepening Interaction with Prompts Book #1, Chapter 4: Advanced Prompt Techniques Book #2, Chapter 4: Advanced Prompt Engineering Book #3, Chapter 5: Enhancing Prompt Detail
4 Learning from Prompt Mistakes Book #1, Chapter 6: Debugging and Mistakes in Prompt Engineering Book#2,Ch6:Troubleshooting Prompt Failures Book #3, Chapter 7: Diagnosing Common Prompt Failures
5 Mastering Prompts: Prompt Patterns I Book #1, Chapter 7: Mastering Prompt Patterns (I) Book#2, Chapter 8: Instructional Patterns and Techniques Book#3, Chapter 8: Key Prompting Patterns
6 Mastering Prompts: Prompt Patterns II Book #1, Chapter 8: Mastering Prompt Patterns (II) Book#2, Chapter 9: Advanced Patterns and Persona Techniques Book#3, Chapter 9: Persona and Contextual Prompting
7 Prompt Engineering for Academic and Creative Writing Book #1, Chapter 10: Using Prompts for Writing and Creativity Book #2, Chapter 10: Writing and Problem Solving with AI Book #5, Chapter 3: Crafting Academic Prompts
8 Midterm -
9 Debugging Prompts: Why Didn't It Work? Book #1, Chapter 6: Debugging Prompt Failures Book #3, Chapter 7: Debugging and Error Handling
10 LLM Model Comparison: From Prompts to Insights Book #4, Chapter 7: Comparing LLMs Book #2, Chapter 12: Evaluating LLMs and Their Responses Book #1, Chapter 12: Evaluating LLMs
11 Ethical Considerations in Prompt Engineering Book #1, Chapter 13: Ethics in Prompt Engineering Book #2, Chapter 11: Ethical Issues in AI Prompts Book #3, Chapter 6: Ethical Risks in Prompting
12 Prompt Engineering Across Disciplines Book #1, Chapter 14: Applications of Prompt Engineering in Various Fields Book #2, Chapter 15: Prompt Engineering Across Disciplines Book #3, Chapter 10: Industrial Applications of Prompts
13 Next Frontiers in Prompt Engineering & Opportunities Book #1, Chapter 15: The Future of Prompt Engineering Book#2, Chapter 16: Opportunities and Emerging Trends in Prompt Engineering Book #5, Chapter 5: Looking Ahead in Prompt Engineering
14 Project Presentations and Evaluation. -
15 Review -
16 Final exam -

Sources

Course Book 1. The Essential Guide to Prompt Engineering, Vladimir Geroimenko, Springer Nature Switzerland, March 2025, Publisher: Springer Nature Switzerland, 1st Edition, ISBN 978-3-031-86205-2
2. Understanding Prompt Engineering by Dr. Dheeraj Mehrotra, March, 2023, Publisher: Notion Press, 1st Edition, ISBN: 979-8890025210.
3. Prompt Engineering for Generative AI by James Phoenix, Mike Taylor, Released May 2024, Publisher(s): O'Reilly Media, Inc., 1st Edition, ISBN: 9781098153434.
4. The Quick Guide to Prompt Engineering by Ian Khan, Released March 2024, Publisher(s): Wiley, 1st Edition, ISBN: 9781394243327.
5. The Art of Prompt Engineering with ChatGPT: A Hands-On Guide, by Nathan Hunter, January 2023, Amazon Kindle Direct Publishing (KDP), 1st Edition, ISBN-13978-1739296711.
Other Sources 6. Guidance For Prompt Engineering – Dr. Ibrahim Kuscu – E-book
7. Prompt Engineering – Lee Boonstra -E-book
8. The Prompt Engineering Guide - Julian Melanson & Benza Maman - E-book
9. Prompt Engineering For Chatgpt- A Quick Guide To Techniques, Tips, And Best Practices- ChatGPT 4 -OpenAI & Sabit Ekin- White Paper
10. Prompt Engineering for Everyone -Kasia Pilch - E-book
11. The Prompt Engineering Guide - Vaibhav Aggarwal - E-book
12. A Beginners Guide to Prompt Engineering – Cluedin – White paper
13. Prompt Engineering Guide - https://www.promptingguide.ai/
14. https://learnprompting.org/docs/introduction
15. https://www.tutorialspoint.com/prompt_engineering/index.htm

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation 1 5
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 3 15
Presentation - -
Project 1 15
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 30
Final Exam/Final Jury 1 35
Toplam 7 100
Percentage of Semester Work 65
Percentage of Final Work 35
Total 100

Course Category

Core Courses X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Gain sufficient knowledge in mathematics, science and computing; be able to use theoretical and applied knowledge in these areas to solve engineering problems related to information systems.
2 To be able to identify, define, formulate and solve complex engineering problems; to be able to select and apply appropriate analysis and modeling methods for this purpose.
3 Designs a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; applies modern design methods for this purpose.
4 To be able to develop, select and use modern techniques and tools required for the analysis and solution of complex problems encountered in information systems engineering applications; to be able to use information technologies effectively.
5 Designs and conducts experiments, collects data, analyzes and interprets results to investigate complex engineering problems or research topics specific to the discipline of information systems engineering.
6 Can work effectively in disciplinary and multidisciplinary teams; can work individually.
7 a. Communicates effectively both orally and in writing; writes effective reports and understands written reports, prepares design and production reports, makes effective presentations, gives and receives clear and understandable instructions. b. Knows at least one foreign language.
8 To be aware of the necessity of lifelong learning; to be able to access information, to be able to follow developments in science and technology and to be able to renew himself/herself continuously.
9 a. Acts in accordance with the principles of ethics, gains awareness of professional and ethical responsibility. b. Gains knowledge about the standards used in information systems engineering applications.
10 a. Gains knowledge about business life practices such as project management, risk management and change management. b. Gains awareness about entrepreneurship and innovation. c. Gains knowledge about sustainable development.
11 a. To be able to acquire knowledge about the universal and social effects of information systems engineering applications on health, environment and safety and the problems of the era reflected in the field of engineering. b. Gains awareness of the legal consequences of engineering solutions.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 14 2 28
Presentation/Seminar Prepration
Project 1 9 9
Report
Homework Assignments 3 3 9
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 10 10
Prepration of Final Exams/Final Jury 1 20 20
Total Workload 124