Information Package / Course Catalogue
Computer Technologies and Artificial Intelligence Applications
Course Code: YENT183
Course Type: Area Elective
Couse Group: Short Cycle (Associate's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 2
Credit: 3
Lab: 0
ECTS: 2
Objectives of the Course

This course aims to equip students with the skills to use computer technologies and artificial intelligence tools to analyze big data obtained from renewable energy facilities and to optimize system performance.

Course Content

Determining research subjects, doing research on resources, evaluation of research results, reporting research results, preparing presentations, presentation.

Name of Lecturer(s)
Learning Outcomes
1.Defines computer technologies and the basic principles of artificial intelligence algorithms used in renewable energy systems.
2.Performs data preprocessing steps by collecting production and meteorological data obtained from energy facilities.
3.Monitors the performance of renewable energy system components with artificial intelligence tools and evaluates system efficiency.
4.Acts in accordance with data privacy, cybersecurity, and engineering ethics rules when using artificial intelligence-based software.
5.Takes responsibility in interdisciplinary teamwork to solve complex optimization problems in energy systems.
Recommended or Required Reading
Weekly Detailed Course Contents
Week 1 - Theoretical
Bilim nedir? Bilimin İşlevleri, bilimin temel nitelikleri
Week 2 - Theoretical
Bilimsel Yöntem nedir? Bilimsel yöntemin aşamaları
Week 3 - Theoretical
Araştırma nedir? Araştırma çeşitleri
Week 4 - Theoretical
Konu seçimi ve önemi
Week 5 - Theoretical
Problemi saptama, kaynak tarama
Week 6 - Theoretical
Hipotez nedir? Hipotez kurma
Week 7 - Theoretical
Yöntem belirleme, veri nedir?, Veri toplama teknikleri
Week 8 - Theoretical
Verilerin analizi
Week 9 - Theoretical
Araştırma çalışması
Week 10 - Theoretical
Araştırma çalışması
Week 11 - Theoretical
Araştırma çalışması
Week 12 - Theoretical
Araştırma çalışması
Week 13 - Theoretical
Araştırmayı yazma, raporlaştırma
Week 14 - Theoretical
Araştırmayı yayınlama
Assessment Methods and Criteria
Type of AssessmentCountPercent
Attending Lectures1%5
Quiz1%15
Midterm Examination1%20
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory140114
Lecture - Practice140228
Individual Work1112
Quiz1112
Midterm Examination1112
Final Examination1112
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
OÇ-1
4
4
OÇ-2
4
4
OÇ-3
4
4
OÇ-4
4
4
5
OÇ-5
4
4
5
Adnan Menderes University - Information Package / Course Catalogue
2026