Information Package / Course Catalogue
Information Technology and Artificial Intelligence Tools
Course Code: DJTA018
Course Type: Required
Couse Group: Short Cycle (Associate's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 1
Prt.: 1
Credit: 2
Lab: 0
ECTS: 2
Objectives of the Course

The aim of this course is to enable students to use information technologies effectively, to exist in a safe and ethical manner in the digital environment, and to increase their digital productivity by consciously using contemporary artificial intelligence tools. Starting from basic computer use, students are supported to gain theoretical knowledge and practical skills in topics such as digital literacy, data security, content production with artificial intelligence, and digital communication.

Course Content

In this course, students begin their education with topics such as computer hardware, operating systems, office software (Word, Excel, PowerPoint), internet browsers and cloud systems, which are the basic components of information technologies. Later, within the framework of digital literacy, online information access, digital citizenship, media literacy, social media usage, data privacy, cybersecurity and ethical digital behavior are covered. In the second half of the course, text, visual, presentation and data production are done with artificial intelligence-based applications (such as ChatGPT, DALL E, Copilot, Gemini, Canva AI); topics such as prompt engineering, content verification, artificial intelligence ethics are covered. In this way, students develop their individual and academic digital productivity and acquire the skills required by the digital age in a holistic manner.

Name of Lecturer(s)
Learning Outcomes
1.Defines basic information about computer hardware, software types, operating systems and office tools.
2.Organizes and presents text, tables and presentation files appropriately.
3.Performs effective searches in search engines, ensures e-mail security, and develops information verification skills.
4.Understands their rights and responsibilities in the digital environment; is sensitive to digital ethics, digital footprint and copyrights
5.Provides conscious use of password security, phishing awareness, and data privacy.
6.Uses tools like ChatGPT, DALL E, Canva AI, Gemini, etc. for simple tasks and content creation.
7.Generates academic content, posters, presentations or reports with AI tools; applies correct prompt writing.
8.Discusses the advantages and limitations of generative AI; is conscious of its proper and ethical use
9.Prepares and presents an original digital product by integrating the technologies learned throughout the course.
Recommended or Required Reading
1.Balaban, M. (2023). Information and Communication Technologies. Seçkin Publishing.
2.Terzi, R. (2024). Artificial Intelligence Literacy and Digital Transformation. Nobel Academic Publishing.
3.Republic of Turkey Presidency Digital Transformation Office – Digital Literacy Training Content
Weekly Detailed Course Contents
Week 1 - Theoretical
Course Introduction and Introduction
Week 1 - Preparation Work
Week 2 - Theoretical
Computer Hardware and Software Fundamentals
Week 2 - Preparation Work
Week 3 - Theoretical
Operating Systems and File Management
Week 3 - Preparation Work
Week 4 - Theoretical
Creating Documents with MS Word
Week 4 - Preparation Work
Week 5 - Theoretical
Data Analysis Fundamentals with MS Excel
Week 5 - Preparation Work
Week 6 - Theoretical
Preparing Effective Presentations with MS PowerPoint
Week 6 - Preparation Work
Week 7 - Theoretical
Internet, Web Browsers and Email Security
Week 7 - Preparation Work
Week 8 - Theoretical
Digital Literacy and Digital Citizenship
Week 8 - Preparation Work
Week 9 - Theoretical
Security, Data Privacy and Digital Ethics
Week 9 - Preparation Work
Week 10 - Theoretical
Introduction to Generative Artificial Intelligen
Week 10 - Preparation Work
Week 11 - Theoretical
Text and Content Generation with ChatGPT
Week 11 - Preparation Work
Week 12 - Theoretical
Image Generation with DALL•E and Canva AI
Week 12 - Preparation Work
Week 13 - Theoretical
Use and applications of artificial intelligence
Week 13 - Preparation Work
Week 14 - Theoretical
general application
Week 14 - Preparation Work
Week 15 - Preparation Work
Week 16 - Preparation Work
Week 17 - Preparation Work
Week 18 - Preparation Work
Week 19 - Preparation Work
Week 20 - Preparation Work
Week 21 - Preparation Work
Week 22 - Preparation Work
Week 23 - Preparation Work
Week 24 - Preparation Work
Week 25 - Preparation Work
Week 26 - Preparation Work
Week 27 - Preparation Work
Week 28 - Preparation Work
Week 29 - Preparation Work
Week 30 - Preparation Work
Week 31 - Preparation Work
Week 32 - Preparation Work
Assessment Methods and Criteria
Type of AssessmentCountPercent
Assignment1%5
Quiz1%5
Midterm Examination1%30
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory140114
Lecture - Practice140114
Assignment1011
Quiz1718
Midterm Examination1011
Final Examination114115
TOTAL WORKLOAD (hours)53
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
PÇ-11
OÇ-1
1
5
3
4
2
OÇ-2
2
4
5
3
3
OÇ-3
4
2
4
1
3
OÇ-4
4
3
2
3
2
5
OÇ-5
2
4
3
5
5
4
1
OÇ-6
3
5
5
4
OÇ-7
4
3
5
5
2
OÇ-8
5
1
2
3
OÇ-9
1
3
1
3
2
Adnan Menderes University - Information Package / Course Catalogue
2026