ETS123 Effective Use of Artificial Intelligence Tools

3 ECTS - 2-1 Duration (T+A)- 1. Semester- 2.5 National Credit

Information

Unit TECHNICAL SCIENCES VOCATIONAL SCHOOL
Code ETS123
Name Effective Use of Artificial Intelligence Tools
Term 2025-2026 Academic Year
Semester 1. Semester
Duration (T+A) 2-1 (T-A) (17 Week)
ECTS 3 ECTS
National Credit 2.5 National Credit
Teaching Language Türkçe
Level Belirsiz
Type Normal
Label VK Vocational Knowledge Courses E Elective
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Öğr. Gör. Eşref ERDOĞAN
Course Instructor
The current term course schedule has not been prepared yet.


Course Goal / Objective

The purpose of this course is to introduce associate degree students to modern artificial intelligence technologies, teach the fundamental principles of these technologies, and enable them to effectively use generative AI tools in both daily life and professional fields (especially in applied disciplines such as electronic technologies). Students will create text, visual, audio, and video content using tools like ChatGPT; and gain skills in prompt writing, content creation, data analysis, and technical

Course Content

Introduction to artificial intelligence, basic concepts and history; types of artificial intelligence (narrow/general/super AI); content and visual production with generative AI tools; basic level prompt engineering; data analysis related to electronic projects; developing simple workflows with AI applications; digital content creation; ethics and security awareness.

Course Precondition

None

Resources

Lecture Notes

Notes

chatgpt and other AI tools


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Explains artificial intelligence concepts and their historical development.
LO02 Defines different types of artificial intelligence (Narrow AI, General AI, Super AI).
LO03 Creates effective prompts and uses them in different applications.
LO04 Develops text generation, content summarization, and question-answering applications using tools like ChatGPT.
LO05 Applies basic data collection, cleaning, and interpretation processes.
LO06 Develops applications using popular AI tools in both general and technical (e.g., electronics) fields.
LO07 Identifies ethics and security issues in artificial intelligence use.
LO08 Implements responsible artificial intelligence use in accordance with ethical principles.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Gets adequate knowledge in mathematics, science, and issues related to their areas.
PLO02 Bilgi - Kuramsal, Olgusal Interprets data using basic knowledge and skills acquired in the field. 3
PLO03 Bilgi - Kuramsal, Olgusal Knows the concepts related to electronics and electronic circuit elements.
PLO04 Bilgi - Kuramsal, Olgusal Becomes aware of the need for life-long learning and continuous self-renewal with the skill.
PLO05 Bilgi - Kuramsal, Olgusal Gets the ability in application by following the production processes in industrial and service sector.
PLO06 Bilgi - Kuramsal, Olgusal Makes drawings of professional plans and projects related to the field.
PLO07 Bilgi - Kuramsal, Olgusal Knows the corporate structure of the company for the profession.
PLO08 Bilgi - Kuramsal, Olgusal Demonstrates ability to independently apply what they have learned in the field of Electronic Technology. 4
PLO09 Beceriler - Bilişsel, Uygulamalı Gets the ability in use the computer software and hardware, modern techniques, tools and the information technologies that are necessary on the field. 5
PLO10 Beceriler - Bilişsel, Uygulamalı Gets the knowledge of Control Systems, Electric Motors, Power Electronics, Sensors, Transducers, PLC, Microprocessors, Digital Electronics, Analog Electronics.
PLO11 Beceriler - Bilişsel, Uygulamalı Gets the skill of drawing professional plans and projects by using computer aided drawing and simulation programs related to the field.
PLO12 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Respects historical values, has awareness of social responsibility, universal, social and professional ethics. 3
PLO13 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Gets the ability in effective communication techniques and a level of foreign language knowledge to follow the innovations in the field.
PLO14 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Produces solutions for electronic problems in team work or individual work.
PLO15 Yetkinlikler - Öğrenme Yetkinliği Gets the ability in occupational safety, worker health and environmental protection knowledge and awareness.
PLO16 Yetkinlikler - Öğrenme Yetkinliği Uses the measuring devices in fault analysis of electronic circuits.


Week Plan

Week Topic Preparation Methods
1 Introduction to Artificial Intelligence and Its Place in Daily Life Research on the subject Öğretim Yöntemleri:
Soru-Cevap, Tartışma, Alıştırma ve Uygulama, Gösteri
2 Types of Artificial Intelligence and Areas of Use Research on the subject Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
3 Introduction to Generative AI: Chatbots, Text Generation Research on the subject Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Beyin Fırtınası
4 Prompt Engineering I: Creating Effective Prompts Research on the subject Öğretim Yöntemleri:
Anlatım, Tartışma
5 Prompt Engineering II: Advanced Prompts and Application Areas Research on the subject Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
6 Data Collection, Cleaning, and Preparation Research on the subject Öğretim Yöntemleri:
Anlatım, Soru-Cevap
7 Visual and Video Production with AI: Midjourney, DALL·E, Runway Research on the subject Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
8 Mid-Term Exam Ölçme Yöntemleri:
Yazılı Sınav
9 Information Summarization, Question-Answering, Documentation with ChatGPT Research on the subject Öğretim Yöntemleri:
Anlatım, Tartışma
10 Electronics-Specific Applications: Circuit Explanation, Troubleshooting Suggestions Research on the subject Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
11 Presentation and Reporting: Content editing and writing with AI Research on the subject Öğretim Yöntemleri:
Anlatım
12 Project Development I: Application design on a general or technical topic Research on the subject Öğretim Yöntemleri:
Anlatım, Soru-Cevap
13 Project Development II: Enriching projects with prompts, content, and data Research on the subject Öğretim Yöntemleri:
Anlatım, Tartışma, Alıştırma ve Uygulama
14 Project Development III: Content organization for final presentations Research on the subject Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
15 Ethics and Security Practices in AI Research on the subject Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
16 Term Exams Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 2 28
Out of Class Study (Preliminary Work, Practice) 14 2 28
Assesment Related Works
Homeworks, Projects, Others 1 5 5
Mid-term Exams (Written, Oral, etc.) 1 6 6
Final Exam 1 9 9
Total Workload (Hour) 76
Total Workload / 25 (h) 3,04
ECTS 3 ECTS

Update Time: 09.05.2025 11:54