Course Name Code Semester T+U Hours Credit ECTS
Articial Intelligence ISE 444 8 3 + 0 3 5
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level Bachelor's Degree
Course Type Optional
Course Coordinator Dr.Öğr.Üyesi SÜMEYYE KAYNAK
Course Lecturers Dr.Öğr.Üyesi SÜMEYYE KAYNAK,
Course Assistants
Course Category Field Proper Education
Course Objective
Course Content
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Lecture, Question-Answer, Discussion, Case Study, Testing, Project / Design,
2 Lecture, Question-Answer, Drilland Practice, Case Study, Self Study, Testing, Homework, Project / Design,
3 Lecture, Discussion, Drilland Practice, Case Study, Self Study, Testing, Homework, Project / Design,
4 Lecture, Discussion, Drilland Practice, Case Study, Self Study, Testing, Homework, Project / Design,
5 Lecture, Discussion, Drilland Practice, Case Study, Self Study, Testing, Homework, Project / Design,
Week Course Topics Preliminary Preparation
1 Introduction to AI
2 Concept Learning
3 Expert Systems
4 Search
5 Search-Uninformed search
6 Search-Informed search
7 Local search techniques
8 Heuristic algorithms-Optimization
9 Pattern recognition
10 Mid Term Exam
11 Artificial neural networks
12 Genetic Algorithms-Ant colony algorithm
13 Deep-Learning
14 Fuzzy Logic
Resources
Course Notes
Course Resources
Order Program Outcomes Level of Contribution
1 2 3 4 5
1
2 X
3 X
4 X
5 X
6
7 X
8
9
10
11 X
12 X
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 70
1. Kısa Sınav 10
1. Ödev 10
2. Ödev 10
Total 100
1. Yıl İçinin Başarıya 40
1. Final 60
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 1 16
Mid-terms 1 12 12
Assignment 2 10 20
Project / Design 1 25 25
Final examination 1 15 15
Total Workload 136
Total Workload / 25 (Hours) 5.44
dersAKTSKredisi 5