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Information
| Code | SD0691 |
| Name | Artificial Intelligence Tools |
| Term | 2024-2025 Academic Year |
| Term | Spring |
| Duration (T+A) | 2-0 (T-A) (17 Week) |
| ECTS | 3 ECTS |
| National Credit | 2 National Credit |
| Teaching Language | Türkçe |
| Level | Üniversite Dersi |
| Label | UCC University Common Course |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Öğr. Gör.Dr. ALİ KEMAL UĞUR |
| Course Instructor |
Öğr. Gör.Dr. ALİ KEMAL UĞUR
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
The aim of the course is to provide students with an understanding of artificial intelligence technologies, how to use these technologies effectively in various applications, and awareness of ethical and security issues that may be encountered in this process.
Course Content
Artificial Intelligence Introduction and Basic Concepts, Prompt Engineering, Prompt Patterns, Artificial Intelligence Tools and Platforms, Data Science and Data Analysis, Ethics and Security.
Course Precondition
Resources
Artificial Intelligence Lecture Notes, Ali Kemal UĞUR.
Notes
ChatGPT, The Magic of Digital Language, Şahap ALTINBAŞ.
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Explains the basic concepts, history and development process of artificial intelligence. |
| LO02 | Explains the differences between narrow AI, general AI, and super AI. |
| LO03 | It creates effective and accurate prompts for artificial intelligence models. |
| LO04 | Performs text analysis using natural language processing techniques and tools. |
| LO05 | Effectively implements data collection, cleaning and preparation processes. |
| LO06 | Realizes projects by installing and using popular artificial intelligence tools and platforms. |
| LO07 | Identifies ethical and security issues that may be encountered in artificial intelligence applications. |
| LO08 | Makes conscious and responsible decisions on ethical and security issues. |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction and Basic Concepts | Examining the course information package | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 2 | 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, Gösterip Yaptırma |
| 4 | Prompt Engineering Techniques 1 | Review of previous topics and review of reference books | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Gösterip Yaptırma |
| 5 | Prompt Engineering Techniques 2 | Review of previous topics and review of reference books | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Gösterip Yaptırma |
| 6 | Data Collection and Preparation | Review of previous topics and review of reference books | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Gösterip Yaptırma |
| 7 | Data Cleansing Techniques | Review of previous topics and review of reference books | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Gösterip Yaptırma |
| 8 | Mid-Term Exam | Ölçme Yöntemleri: Yazılı Sınav |
|
| 9 | Artificial Intelligence Tools 1 | Review of previous topics and review of reference books | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Gösterip Yaptırma |
| 10 | Artificial Intelligence Tools 2 | Review of previous topics and review of reference books | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Gösterip Yaptırma |
| 11 | Artificial Intelligence Tools 3 | Review of previous topics and review of reference books | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Gösterip Yaptırma |
| 12 | Project Creation and Planning with Artificial Intelligence 1 | Review of previous topics and review of reference books | Öğretim Yöntemleri: Anlatım, Grup Çalışması, Beyin Fırtınası |
| 13 | Project Creation and Planning with Artificial Intelligence 2 | Review of previous topics and review of reference books | Öğretim Yöntemleri: Anlatım, Grup Çalışması, Beyin Fırtınası |
| 14 | Project Creation and Planning with Artificial Intelligence 3 | Review of previous topics and review of reference books | Öğretim Yöntemleri: Anlatım, Grup Çalışması, Beyin Fırtınası |
| 15 | Ethics and Security in Artificial Intelligence | Review of previous topics and review of reference books | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 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 | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 6 | 6 |
| Final Exam | 1 | 16 | 16 |
| Total Workload (Hour) | 78 | ||
| Total Workload / 25 (h) | 3,12 | ||
| ECTS | 3 ECTS | ||