Information Package / Course Catalogue
Presentation Techniques With Artificial Intelligence
Course Code: YB241
Course Type: Area Elective
Couse Group: Short Cycle (Associate's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 1
Prt.: 0
Credit: 2
Lab: 1
ECTS: 3
Objectives of the Course

Being able to use artificial intelligence applications at a basic level.

Course Content

To ensure that students can use basic artificial intelligence applications in preparing and presenting written and oral assignments. To be able to prepare assignments, presentations, posters, and videos in Canva, ChatGpt, and Gamma App applications. To be able to present the prepared assignments clearly in the classroom within the required time.

Name of Lecturer(s)
Learning Outcomes
1.To be able to list the basic concepts in the field of artificial intelligence
2.Having basic skills in using artificial intelligence
3.Ability to use the Canva application at a basic level
4.Ability to use ChatGPT application program at a basic level
5.Ability to use the GammaApp application program at a basic level
6.Contribute to oral presentation skills
Recommended or Required Reading
1.Lecture notes prepared by the instructor.
2.Elmas Ç. (2021): Yapay Zeka Uygulamaları ( Yapay Sinir Ağı ¦ Makine Öğrenmesi – Derin Öğrenme ¦ Derin Ağlar – Bulanık Mantık ¦ Sinirsel Bulanık Mantık – Genetik Algoritma) Seçkin Yayıncılık
Weekly Detailed Course Contents
Week 1 - Theoretical
Information about the course, introduction to the course
Week 2 - Theoretical
Artificial intelligence basic concepts
Week 3 - Theoretical & Practice
Artificial intelligence applications: Canva
Week 4 - Theoretical & Practice
Artificial intelligence applications: Canva application
Week 5 - Theoretical & Practice
Artificial intelligence applications: Canva
Week 6 - Theoretical & Practice
Artificial intelligence applications: Canva application
Week 7 - Theoretical & Practice
Artificial intelligence applications: ChatGpt
Week 8 - Theoretical & Practice
Artificial intelligence applications: ChatGpt application
Week 9 - Theoretical & Practice
Artificial intelligence applications: ChatGpt
Week 10 - Theoretical & Practice
Artificial intelligence applications: ChatGpt application
Week 11 - Theoretical & Practice
Artificial intelligence applications: ChatGpt
Week 12 - Theoretical & Practice
Artificial intelligence applications: ChatGpt application
Week 13 - Theoretical & Practice
Assignment Presentation
Week 14 - Theoretical & Practice
Assignment Presentation
Week 15 - Theoretical & Practice
Assignment Presentation
Assessment Methods and Criteria
Type of AssessmentCountPercent
Attending Lectures14%14
Assignment5%50
Term Assignment1%36
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory152260
Term Project52115
Practice Examination1213
TOTAL WORKLOAD (hours)78
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
PÇ-12
PÇ-13
OÇ-1
3
3
OÇ-2
3
3
OÇ-3
OÇ-4
OÇ-5
4
OÇ-6
5
Adnan Menderes University - Information Package / Course Catalogue
2026