ECTS - Prompt Engineering
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 | Natural & Applied Sciences Master's Degree |
| Mode of Delivery | Face To Face |
| Learning and Teaching Strategies | Lecture, Discussion, Drill and Practice, Team/Group. |
| Course Lecturer(s) |
|
| Course Objectives | |
| Course Learning Outcomes |
The students who succeeded in this course;
|
| 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 | Gains the ability to apply advanced computing and/or information knowledge in solving software engineering problems. | |||||
| 2 | Develops solutions using different technologies, software architectures and life-cycle approaches. | |||||
| 3 | Gains the ability to design, implement, and evaluate a software system, component, process, or program using modern techniques and engineering tools for software engineering practices. | |||||
| 4 | Gains ability to gather/acquire, analyze, interpret data and make decisions to understand software requirements. | |||||
| 5 | Gains skills of effective oral and written communication and critical thinking about a wide range of issues arising in the context of working constructively on software projects. | |||||
| 6 | Gains the ability to access information to follow current developments in science and technology, conducts scientific research in the field of software engineering, and conducts a project. | |||||
| 7 | Acquires an understanding of professional, legal, ethical and social issues and responsibilities related to Software Engineering. | |||||
| 8 | Acquires project and risk management skills and gains awareness of the importance of entrepreneurship, innovation, and sustainable development, as well as international standards and methodologies. | |||||
| 9 | Understands the impact of Software Engineering solutions in a global, environmental, societal and legal context while making decisions. | |||||
| 10 | Gains awareness of the development, adoption, and ongoing support for the use of excellence standards in software engineering practices. | |||||
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 | ||