Computer Engineering Ph.D | |||||
PhD | TR-NQF-HE: Level 8 | QF-EHEA: Third Cycle | EQF-LLL: Level 8 |
Course Code: | BIL506 | ||||||||
Course Name: | Artificial Intelligence | ||||||||
Course Semester: |
Fall Spring |
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Course Credits: |
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Language of instruction: | TR | ||||||||
Course Requisites: | |||||||||
Does the Course Require Work Experience?: | No | ||||||||
Type of course: | Department Elective | ||||||||
Course Level: |
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Mode of Delivery: | Face to face | ||||||||
Course Coordinator : | Prof. Dr. BEKİR TEVFİK AKGÜN | ||||||||
Course Lecturer(s): |
Dr. BİLİNMİYOR BEKLER Dr.Öğr.Üyesi ASLI UYAR Prof. Dr. PINAR YILDIRIM |
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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;
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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 |
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Program Outcomes | ||||||||||
1) Information on project management and practices in business life such as risk management and change management; awareness about entrepreneurship, innovation and sustainable development. | ||||||||||
2) Sufficient knowledge in mathematics, science and engineering related to their branches; the ability to apply theoretical and practical knowledge in these areas to model and solve engineering problems. | ||||||||||
3) The ability to identify, define, formulate and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose. | ||||||||||
4) The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. (Realistic constraints and conditions include such issues as economy, environmental issues, sustainability, manufacturability, ethics, health, safety, social and political issues, according to the nature of design.) | ||||||||||
5) Ability to develop, select and use modern techniques and tools necessary for engineering applications; ability to use information technologies effectively. | ||||||||||
6) Ability to design experiments, conduct experiments, collect data, analyze and interpret results for the examination of engineering problems. | ||||||||||
7) The ability to communicate effectively in Turkish both verbally and in writing; at least one foreign language knowledge. | ||||||||||
8) Knowledge of the necessity of lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal. | ||||||||||
9) Professional and ethical responsibility. | ||||||||||
10) Information on the effects of engineering applications on health, environment and safety in the universal and social dimensions and the problems of the times; awareness of the legal consequences of engineering solutions. | ||||||||||
11) The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill. |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | Information on project management and practices in business life such as risk management and change management; awareness about entrepreneurship, innovation and sustainable development. | |
2) | Sufficient knowledge in mathematics, science and engineering related to their branches; the ability to apply theoretical and practical knowledge in these areas to model and solve engineering problems. | |
3) | The ability to identify, define, formulate and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose. | |
4) | The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. (Realistic constraints and conditions include such issues as economy, environmental issues, sustainability, manufacturability, ethics, health, safety, social and political issues, according to the nature of design.) | |
5) | Ability to develop, select and use modern techniques and tools necessary for engineering applications; ability to use information technologies effectively. | |
6) | Ability to design experiments, conduct experiments, collect data, analyze and interpret results for the examination of engineering problems. | |
7) | The ability to communicate effectively in Turkish both verbally and in writing; at least one foreign language knowledge. | |
8) | Knowledge of the necessity of lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal. | |
9) | Professional and ethical responsibility. | |
10) | Information on the effects of engineering applications on health, environment and safety in the universal and social dimensions and the problems of the times; awareness of the legal consequences of engineering solutions. | |
11) | The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill. |
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 |