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Information
| Unit | ADANA VOCATIONAL SCHOOL |
| Code | BPP127 |
| Name | Artificial Intelligence Tools |
| Term | 2025-2026 Academic Year |
| Semester | 1. Semester |
| Duration (T+A) | 2-0 (T-A) (17 Week) |
| ECTS | 3 ECTS |
| National Credit | 2 National Credit |
| Teaching Language | Türkçe |
| Level | Belirsiz |
| Type | Normal |
| Label | E Elective |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Doç. Dr. MESUT ÖZONUR |
| Course Instructor |
The current term course schedule has not been prepared yet.
|
Course Goal / Objective
The aim of the course is to provide students with an understanding of artificial intelligence technologies, the effective use of these technologies in various applications, and awareness of ethical and security issues that may be encountered in this process.
Course Content
Introduction to artificial intelligence and basic concepts, prompt engineering, prompt patterns, artificial intelligence tools and platforms, data science and data analysis, ethics and security.
Course Precondition
NA
Resources
Özonur, M. (2025) Artificial Intelligence Tools Lecture Notes
Notes
1) Altınbaş, Ş. (2023). ChatGPT Dijital Dilin Büyüsü - Teori ve Uygulama. İstanbul, Kodlab Yayınevi. 2) Bentley , Peter J. (2022). Yapay Zekâ ve Robotik: Teknolojinin Tuhaf Dünyasında Kısa Bir Yolculuk. (Çev. Ed. [ Emre Can Ercan). İstanbul, Kronik Yayınevi.
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Explains the basic concepts, types, history and development process of artificial intelligence. |
| LO02 | Compare the types of artificial intelligence. |
| LO03 | Explains machine learning and its techniques. |
| LO04 | Performs text analysis using natural language processing techniques and tools. |
| LO05 | Creates effective and accurate prompts for artificial intelligence models. |
| LO06 | Applies data analysis effectively. |
| LO07 | It implements applications using popular artificial intelligence tools. |
| LO08 | Identifies ethical and security issues that may be encountered in artificial intelligence applications. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Communicates effectively with all partners on a sectoral basis. | |
| PLO02 | Bilgi - Kuramsal, Olgusal | has the basic knowledge necessary to develop computer software, to establish algorithm, sequential and simultaneous flow logic | |
| PLO03 | Yetkinlikler - Alana Özgü Yetkinlik | Designs systems for fundamental problems in microcontrollers, embedded systems and analog/digital electronics. | |
| PLO04 | Yetkinlikler - Alana Özgü Yetkinlik | Uses basic software related to information and communication technologies, specific to his profession. | 4 |
| PLO05 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Applies the software and hardware developments in the field of Computer Programming independently. | |
| PLO06 | Bilgi - Kuramsal, Olgusal | Explains the necessary methods for solving well-defined problems in the field of Computer Technologies and Programming. | |
| PLO07 | Bilgi - Kuramsal, Olgusal | Has the basic knowledge level required to develop software specific to web, mobile and other electronic platforms. | |
| PLO08 | Beceriler - Bilişsel, Uygulamalı | Develops software for desktop and other environments. | |
| PLO09 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Takes an active role in project development processes, independently or as part of a group, within a planned project. | |
| PLO10 | Bilgi - Kuramsal, Olgusal | Knows project planning, development and implementation processes. | |
| PLO11 | Yetkinlikler - Alana Özgü Yetkinlik | Performs data storage, editing, querying, etc. operations in computer and network environment. | |
| PLO12 | Yetkinlikler - Alana Özgü Yetkinlik | It has the ability to solve unpredictable hardware and software problems. | |
| PLO13 | Beceriler - Bilişsel, Uygulamalı | Codes software components that have been analyzed and the algorithm has been prepared. | |
| PLO14 | Bilgi - Kuramsal, Olgusal | Knows the methods to be used in software development. | |
| PLO15 | Yetkinlikler - Öğrenme Yetkinliği | Constantly follows current innovations and developments in the field of information technologies. | 3 |
| PLO16 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Communicates verbally and in writing in a foreign language. | |
| PLO17 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | It has the phenomenon of the necessity of moral and ethical behaviors related to the information technology profession. | 3 |
| PLO18 | Yetkinlikler - Alana Özgü Yetkinlik | Has the necessary awareness of occupational safety in her field. | |
| PLO19 | Beceriler - Bilişsel, Uygulamalı | It uses operating systems with administrative features. | |
| PLO20 | Bilgi - Kuramsal, Olgusal | Have basic knowledge about entrepreneurship, career management and lifelong learning. | |
| PLO21 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Has environmental awareness, environmental sensitivity, basic knowledge about waste storage and safety. |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction and Basic Concepts | Examining the course information package | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 2 | History and Types of Artificial Intelligence | Review of previous topics and review of reference books | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 3 | Machine Learning | Review of previous topics and review of reference books | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 4 | Natural Language Processing and Its Purposes | Review of previous topics and review of reference books | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 5 | Basic Components of Natural Language Processing | Review of previous topics and review of reference books | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 6 | Prompt and Effective Prompt Writing Techniques | Review of previous topics and review of reference books | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Gösterip Yaptırma |
| 7 | Prompt Engineering Tools and Model Training | Review of previous topics and review of reference books | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Gösterip Yaptırma |
| 8 | Mid-Term Exam | Studying the topics by doing practice | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | Data Analysis with Artificial Intelligence | Review of previous topics and review of reference books | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Gösterip Yaptırma |
| 10 | Artificial Intelligence Tools: NLP | Review of previous topics and review of reference books | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Gösterip Yaptırma |
| 11 | Artificial Intelligence Tools: Image Processing | Review of previous topics and review of reference books | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Gösterip Yaptırma |
| 12 | Artificial Intelligence Tools: Education | Review of previous topics and review of reference books | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Gösterip Yaptırma |
| 13 | Artificial Intelligence Tools: Video | Review of previous topics and review of reference books | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Gösterip Yaptırma |
| 14 | Artificial Intelligence Tools: Audio | Review of previous topics and review of reference books | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Gösterip Yaptırma |
| 15 | Ethics and Security in Artificial Intelligence | Review of previous topics and review of reference books | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 16 | Term Exams | Studying the topics by doing practice | Ölçme Yöntemleri: Yazılı Sınav |
| 17 | Term Exams | Studying the topics by doing practice | 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) | 12 | 2 | 24 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 7 | 7 |
| Final Exam | 1 | 14 | 14 |
| Total Workload (Hour) | 73 | ||
| Total Workload / 25 (h) | 2,92 | ||
| ECTS | 3 ECTS | ||