Mechatronic Engineering (Ph.D) (English) | |||||
PhD | TR-NQF-HE: Level 8 | QF-EHEA: Third Cycle | EQF-LLL: Level 8 |
Course Code: | AIE503 | ||||||||
Course Name: | Introduction to AI Engineering | ||||||||
Course Semester: | Spring | ||||||||
Course Credits: |
|
||||||||
Language of instruction: | EN | ||||||||
Course Requisites: | |||||||||
Does the Course Require Work Experience?: | No | ||||||||
Type of course: | Department Elective | ||||||||
Course Level: |
|
||||||||
Mode of Delivery: | Face to face | ||||||||
Course Coordinator : | Prof. Dr. BEKİR TEVFİK AKGÜN | ||||||||
Course Lecturer(s): |
Dr.Öğr.Üyesi SİNA ALP |
||||||||
Course Assistants: |
Course Objectives: | Introduction to Artificial Intelligence. Heuristic problem solving. State spaces. Serching at state spaces. Games. Minimum spanning tree. Knowledge modeling. Representing knowledge. Logic. Neural networks. Fuzzy Logic. |
Course Content: | Introduction to Artificial Intelligence. Heuristic problem solving. State spaces. Serching at state spaces. Games. Minimum spanning tree. Knowledge modeling. Representing knowledge. Logic. Neural networks. Fuzzy Logic. |
The students who have succeeded in this course;
|
Week | Subject | Related Preparation |
1) | Fundamental concepts of artificial intelligence | |
2) | Machine learning | |
3) | Artificial neural networks | |
4) | Game theory | |
5) | Problem solving: Uninformed search agents | |
6) | Problem solving: Informed search agents | |
7) | Knowledge-based agents: The Wumpus World | |
8) | Midterm | |
9) | Logic and reasoning | |
10) | Logic Programming: Prolog | |
11) | Fundamental concepts about voice and vision recognition | |
12) | Voice recognition using hidden markov models | |
13) | Image recognition based on convolutional neural network. | |
14) | Project presentations |
Course Notes / Textbooks: | Artificial Intelligence: A Modern Approach. Stuart Russell, Peter Norvig, Prentice Hall, Second Edition Yapay Zeka, Prof.Dr.Vasif V.Nabiyev |
References: | Yapay Zeka Geçmişi ve Geleceği, Nils J. Nilson Introduction to Algorithms, Cormen. Makine Öğrenmesi, Ethem Alpaydın |
Learning Outcomes | 1 |
2 |
4 |
5 |
5 |
6 |
7 |
8 |
9 |
10 |
---|---|---|---|---|---|---|---|---|---|---|
Program Outcomes | ||||||||||
1) Knowledge and ability to apply the interdisciplinary synergetic approach of mechatronics to the solution of engineering problems | ||||||||||
2) Ability to design mechatronic products and systems using the mechatronics approach | ||||||||||
3) Knowledge and ability to analyze and develop existing products or processes with a mechatronics approach | ||||||||||
4) Ability to communicate effectively and teamwork with other disciplines | ||||||||||
5) Understanding of performing engineering in accordance with ethical principles | ||||||||||
6) Understanding of using technology with awareness of local and global socioeconomic impacts | ||||||||||
7) Approach to knowing and fulfilling the necessity of lifelong learning |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | Knowledge and ability to apply the interdisciplinary synergetic approach of mechatronics to the solution of engineering problems | |
2) | Ability to design mechatronic products and systems using the mechatronics approach | |
3) | Knowledge and ability to analyze and develop existing products or processes with a mechatronics approach | |
4) | Ability to communicate effectively and teamwork with other disciplines | |
5) | Understanding of performing engineering in accordance with ethical principles | |
6) | Understanding of using technology with awareness of local and global socioeconomic impacts | |
7) | Approach to knowing and fulfilling the necessity of lifelong learning |
Expression | |
Individual study and homework | |
Lesson | |
Problem Solving | |
Project preparation | |
Report Writing | |
Q&A / Discussion | |
Application (Modelling, Design, Model, Simulation, Experiment etc.) |
Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing) | |
Application | |
Individual Project | |
Presentation | |
Reporting | |
Bilgisayar Destekli Sunum |
Semester Requirements | Number of Activities | Level of Contribution |
Presentation | 1 | % 10 |
Project | 1 | % 30 |
Midterms | 1 | % 20 |
Final | 1 | % 40 |
total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 60 | |
PERCENTAGE OF FINAL WORK | % 40 | |
total | % 100 |
Activities | Number of Activities | Duration (Hours) | Workload |
Course Hours | 15 | 3 | 45 |
Presentations / Seminar | 1 | 30 | 30 |
Project | 1 | 48 | 48 |
Midterms | 1 | 70 | 70 |
Paper Submission | 1 | 12 | 12 |
Final | 1 | 100 | 100 |
Total Workload | 305 |