Course Name Code Semester T+U Hours Credit ECTS
Application Of Artificial Intelligence In Enterpri ENM 509 0 3 + 0 3 6
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level yuksek_lisans
Course Type Optional
Course Coordinator Doç.Dr. ESRA TEKEZ
Course Lecturers
Course Assistants
Course Category
Course Objective Description subjects of artificial intelligence (AI) and learning application areas of AI which is necessary in order to compose intelligent manufacturing systems
Course Content The concepts of intelligence/artificial intelligence, knowledge representation, learning, reasoning, search, some examples of various engineering applications
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Description subjects of artificial intelligence
2 Learning application areas of artificial intelligence
3 Learning contributions of AI in engineering
4 Modeling and explaining a problem/subject in engineering utilizing AI
5 Using Expert System (ES) shell
6 Development ES finding the solution for problem in enterprises
7 Learning the characteristics of Neural Networks
8 Using Backprobagation algorithm
9 Comparasion ES and NN
10 Learning intelligent agents
Week Course Topics Preliminary Preparation
1 Introduction to artificial intelligence
2 The characteristics of intelligent systems
3 Expert Systems (ES)
4 Knowledge Representation
5 Reasoning
6 ES applications in Business
7 Fuzzy Logic (FL)
8 Fuzzy Expert Systems
9 Midterm
10 FL applications in Business
11 The characteristics of Neural Networks (NN)
12 Backprobagation algorithm
13 NN applications in Business
14 Intelligent Agents
Course Notes
Course Resources
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 The aim of the course is to reach the information in depth and in depth by conducting scientific research in the field of engineering, to evaluate, interpret and apply the information.
2 Ability to complete and apply knowledge by scientific methods using limited or missing data; to integrate information from different disciplines.
3 To be able to construct engineering problems, develop methods to solve them and apply innovative methods in solutions.
4 Ability to develop new and original ideas and methods; develop innovative solutions in system, part or process designs.
5 Ability to design and apply analytical, modeling and experimental research; to analyze and interpret complex situations encountered in this process.
6 Identify the information and data needed, reach them and evaluate them at an advanced level.
7 Leadership in multi-disciplinary teams, developing solutions to complex situations and taking responsibility.
8 To be able to convey the process and results of his / her studies systematically and clearly in written or oral form in national and international environments in or out of that field.
9 Interpreting comprehensive information about modern techniques and methods applied in engineering and their limits.
10 Awareness about new and developing practices of the profession; to examine and learn them when necessary.
11 To understand the social and environmental dimensions of engineering applications and to adapt to the social environment.
12 To observe social, scientific and ethical values in the stages of data collection, interpretation and announcement and in all professional activities.
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 50
1. Ödev 10
1. Performans Görevi (Seminer) 40
Total 100
1. Yıl İçinin Başarıya 50
1. Final 50
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 2 32
Mid-terms 1 15 15
Quiz 1 5 5
Performance Task (Seminar) 1 15 15
Final examination 1 20 20
Total Workload 135
Total Workload / 25 (Hours) 5.4
dersAKTSKredisi 6