TÜRKÇE
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Information
| Code | ELH118 |
| Name | Effective Use of Artificial Intelligence Tools |
| Term | 2024-2025 Academic Year |
| Semester | 2. Semester |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 3 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Ön Lisans Dersi |
| Type | Normal |
| Mode of study | Uzaktan Öğretim |
| Catalog Information Coordinator | Öğr. Gör.Dr. ALİ KEMAL UĞUR |
| Course Instructor |
1 |
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
None
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. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Program graduates have sufficient knowledge in mathematics, science and the implementation of the telecommunication issues in these areas | |
| PLO02 | Bilgi - Kuramsal, Olgusal | Program graduates have knowledge regarding available materials and their selection in telecommunication sector. | |
| PLO03 | Bilgi - Kuramsal, Olgusal | Program graduates have knowledge of planning and organizing ateliers and operating plants in telecommunication sector. | |
| PLO04 | Bilgi - Kuramsal, Olgusal | Program graduates have ability to follow developing technologies with his/her acquired knowledge. | 5 |
| PLO05 | Bilgi - Kuramsal, Olgusal | Program graduates have ability to design and draw the professional plans and projects by using a computer drawing or simulation program in his/her filed. | |
| PLO06 | Bilgi - Kuramsal, Olgusal | Program graduate carry out a basic level study on his/her own, collect, analyze and interpret the data and prepare the final report in order to examine a problem regarding telecommunication technologies. | 3 |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | Program graduates take responsibility as a team member in order to solve the problems encountered in the applications of telecommunication area; he/she who has the conscious of the necessity of lifelong learning renews his/herself continuously to access knowledge. | 3 |
| PLO08 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Program graduates have ability to use at least one computer programming language and a foreign language in the extent required by the profession. | |
| PLO09 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Program graduates use one computer software required by the field at least and information and communication technologies in a basic level. | 4 |
| PLO10 | Yetkinlikler - Öğrenme Yetkinliği | Program graduates inculcate to be a patient individual with responsibility consciousness and moral values required by the profession. | 3 |
| PLO11 | Yetkinlikler - Öğrenme Yetkinliği | Program graduates act according to professional ethics to provide the occupational health and safety in the field | |
| PLO12 | Beceriler - Bilişsel, Uygulamalı | Becomes ready to use what they have learned with hands-on training in business life. |
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 |
| 4 | Prompt Engineering Techniques 1 | Review of previous topics and review of reference books | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Gösteri |
| 5 | Prompt Engineering Techniques 2 | Review of previous topics and review of reference books | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Gösteri |
| 6 | Data Collection and Preparation | Review of previous topics and review of reference books | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Gösteri |
| 7 | Data Cleansing Techniques | Review of previous topics and review of reference books | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Gösteri |
| 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, Gösteri |
| 10 | Artificial Intelligence Tools 2 | Review of previous topics and review of reference books | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Gösteri |
| 11 | Artificial Intelligence Tools 3 | Review of previous topics and review of reference books | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Gösteri |
| 12 | Project Creation and Planning with Artificial Intelligence 1 | Review of previous topics and review of reference books | Öğretim Yöntemleri: Anlatım, Gösteri |
| 13 | Project Creation and Planning with Artificial Intelligence 2 | Review of previous topics and review of reference books | Öğretim Yöntemleri: Anlatım, Gösteri |
| 14 | Project Creation and Planning with Artificial Intelligence 3 | Review of previous topics and review of reference books | Öğretim Yöntemleri: Anlatım, Gösteri |
| 15 | Ethics and Security in Artificial Intelligence | Review of previous topics and review of reference books | Öğretim Yöntemleri: Anlatım, Grup Çalışması, Beyin Fırtınası |
| 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 | ||