Information Package / Course Catalogue
Artificial Intelligence Applications
Course Code: KTT299
Course Type: Non Departmental Elective
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

Students will be able to analyze existing technologies and technologies that can be developed. To train productive and developing individuals who will be active in the business areas in the sector by learning the data and applications in the field of education.

Course Content

To analyze the functioning of today's technology. To interpret newly developed technologies correctly. To use the technological devices used in the most efficient and comprehensive way. Knowing the working principles of a technological device and making the right additions.

Name of Lecturer(s)
Ins. Mehmet Serdar GÜR
Learning Outcomes
1.To be able to analyze the developing technology
2.Contribute to new product development
3.To be able to make modeling related to the field
4.Project management
5.Developing projects with the right moves
Recommended or Required Reading
1.https://chat.openai.com/
2.https://gemini.google.com/?hl=tr
3.https://www.deepl.com/tr/translator
4.P. Georges, S. Bayle, M. Badoc. 2014. Neuromarketing in Action, Kogan Page.
Weekly Detailed Course Contents
Week 1 - Theoretical & Practice
Introduction to artificial intelligence
Week 2 - Theoretical & Practice
Artificial intelligence from yesterday to today
Week 3 - Theoretical & Practice
Chat GPT App
Week 4 - Theoretical & Practice
Chat GPT App
Week 5 - Theoretical & Practice
Gemini App
Week 6 - Theoretical & Practice
Gemini App
Week 7 - Theoretical & Practice
Dall.E App
Week 8 - Theoretical & Practice
Dall.E App (Midterm Exam)
Week 9 - Theoretical & Practice
Scholar GPT App
Week 10 - Theoretical & Practice
Scholar GPT App
Week 11 - Theoretical & Practice
Microsoft Copilot App
Week 12 - Theoretical & Practice
Microsoft Copilot App
Week 13 - Theoretical & Practice
ImageBind App
Week 14 - Theoretical & Practice
ImageBind App
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory141128
Lecture - Practice140114
Midterm Examination1314
Final Examination1314
TOTAL WORKLOAD (hours)50
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
PÇ-14
PÇ-15
PÇ-16
PÇ-17
OÇ-1
4
4
5
5
4
3
5
5
4
5
4
4
5
5
5
5
5
OÇ-2
4
4
4
5
4
3
4
4
5
5
5
5
4
5
4
5
5
OÇ-3
4
4
4
5
5
4
4
5
4
4
5
4
5
4
4
4
4
OÇ-4
4
5
4
5
4
4
4
4
5
4
4
4
4
4
4
4
4
OÇ-5
4
4
4
4
4
4
4
5
4
5
4
5
4
4
4
4
4
Adnan Menderes University - Information Package / Course Catalogue
2026