1. Education Information System
  2. Faculty Of Education
  3. Artificial Intelligence and Productivity (2024 - 2025)
Course Name Code Semester T+U Hours Credit ECTS
Artificial Intelligence and Productivity EFG 020 3 1 + 1 2 3
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level Bachelor's Degree
Course Type OPTIONAL
Course Coordinator Öğr.Gör.Dr. AYDIN KİPER
Course Lecturers Öğr.Gör. SELÇUK SIRRI TERCAN, Öğr.Gör.Dr. AYDIN KİPER, Arş.Gör.Dr. MEHMET UYSAL, Arş.Gör.Dr. MURAT TOPAL,
Course Assistants
Course Category Other
Course Objective
Course Content
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Sightseeing, Analogy, Micro Teaching, Lab / Workshop, Brain Storming, Written Exams (Short and Long Answer), Short Answer Tests, True False Tests,
2 Micro Teaching, Lab / Workshop,
3 Sightseeing, Role Playing,
4 Sightseeing,
5 Sightseeing,
6 Sightseeing,
Week Course Topics Preliminary Preparation
1
2
3
4
5
6
7
8
9
10
11
12
13
14
Resources
Course Notes
Course Resources
Week Documents Description size
1 Hafta 1: Yapay Zekaya Giriş 0 MB
2 Hafta 2: Yapay Zeka Türleri ve Algoritmaları 0 MB
3 Hafta 3: Üretken Yapay Zeka ve Temel Kavramlar 0 MB
4 Hafta 4 : Üretken Yapay Zeka ile Prompt Mühendisliği 0 MB
5 Hafta 5: ÜYZ Uygulamaları 0 MB
6 Hafta 6: Etik ve Sorumlu Kullanım 0 MB
7 Hafta 7: Toplumsal ve Ekonomik Etkiler 0 MB
8 0 MB
1 0 MB
0 0 MB
Order Program Outcomes Level of Contribution
1 2 3 4 5
# Contribution of Course Learning Outcomes to Program Outcomes
1
2
3
4
5
6
Evaluation System
Semester Studies Contribution Rate
1. Kısa Sınav 100
Total 100
1. Final 60
1. Yıl İçinin Başarıya 40
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 14 2 28
Mid-terms 1 10 10
Quiz 2 5 10
Assignment 1 20 20
Final examination 1 10 10
Total Workload 78
Total Workload / 25 (Hours) 3.12
dersAKTSKredisi 3