ELH118 Effective Use of Artificial Intelligence Tools

3 ECTS - 3-0 Duration (T+A)- 2. Semester- 3 National Credit

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

Update Time: 17.05.2024 05:29