DEPARTMENT OF INDUSTRIAL ENGINEERING (ENGLISH) | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code: | 1411002017 | ||||||||
Ders İsmi: | Artificial Intelligence | ||||||||
Ders Yarıyılı: | Fall | ||||||||
Ders Kredileri: |
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Language of instruction: | EN | ||||||||
Ders Koşulu: | |||||||||
Ders İş Deneyimini Gerektiriyor mu?: | No | ||||||||
Type of course: | Department Elective | ||||||||
Course Level: |
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Mode of Delivery: | Face to face | ||||||||
Course Coordinator : | Dr.Öğr.Üyesi Elif TARAKÇI | ||||||||
Course Lecturer(s): | |||||||||
Course Assistants: |
Course Objectives: | The aim of the course is to provide students with information on basic techniques and methods inartificial intelligence and to enable students to have the ability to use artificial intelligence methodsin solving practical problems |
Course Content: | Basic concepts and methods of artificial intelligence. Problem solving using artificial intelligence;search methods using and not using problem information. Local search methods and simulated annealing algorithm. Meta-heuristic algorithms. Introduction to artificial neural networks. GameProblems. Prolog programming language, information representation and logical inference. |
The students who have succeeded in this course;
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Week | Subject | Related Preparation |
1) | Basic Concepts, Artificial Intelligence history and philosophy | Lecture Notes |
2) | Clever Agents | Lecture Notes |
3) | Introduction to Problem Solving and Search Algorithms with Artificial Intelligence | Lecture Notes |
4) | Search Algorithms That Don't Use Problem Information | Lecture Notes |
5) | Intuitive Search | Lecture Notes |
6) | Game Problems | Lecture Notes |
7) | Meta-Heuristic Search Methods | Lecture Notes |
8) | MidTerm | |
9) | Artificial neural networks | Lecture Notes |
10) | Knowledge-Based Agents | Lecture Notes |
11) | First Order Logic | Lecture Notes |
12) | Inference in First Order Logic | Lecture Notes |
13) | Prolog Programming Language and Logical Programming | Lecture Notes |
14) | Prolog Programming Language and Logical Programming | Lecture Notes |
15) | Probabilistic Inference | Lecture Notes |
16) | Final Exam |
Course Notes / Textbooks: | Artificial Intelligence: A Modern Approach. Stuart Russell, Peter Norvig, Prentice Hall,Second Edition |
References: | Artificial Intelligence: A Modern Approach. Stuart Russell, Peter Norvig, Prentice Hall,Second Edition Yapay zekâ : bütünleşik bilişe doğru / Ali Orhan Aydın Russell & Norvig, AI: A Modern Approach, 3rd Ed |
Ders Öğrenme Kazanımları | 1 |
2 |
1 |
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Program Outcomes | ||||||||||||||
1) Adequate knowledge of mathematics (a), science (b) and industrial engineering (c) (1) and the ability to use this knowledge in complex engineering problems. | ||||||||||||||
2) Ability to work effectively both individually and in interdisciplinary and multidisciplinary teams. | ||||||||||||||
3) Awareness of the necessity of lifelong learning and the ability to access information, to follow developments in science and technology, and to constantly renew oneself. | ||||||||||||||
4) Knowledge of project management, risk management, innovation and change management, entrepreneurship and sustainable development | ||||||||||||||
5) Awareness of the sectors and the ability to prepare a business plan. | ||||||||||||||
6) Professional and ethical responsibility awareness and acting in accordance with ethical principles. | ||||||||||||||
7) Information about the problems of the age in the field of engineering and the effects and legal consequences of engineering practices on health, environment and safety in universal and social dimensions. | ||||||||||||||
8) Information about current engineering practices and standards used in engineering practices. | ||||||||||||||
9) The ability to identify, formulate and solve complex engineering problems, and the ability to select and apply appropriate analysis and modeling methods for this purpose. | ||||||||||||||
10) The ability to design a complex system, process, device or product using modern methods under realistic constraints and conditions and to meet specific requirements. | ||||||||||||||
11) The ability to develop, select and use modern techniques and tools necessary for the solution of engineering problems, and the ability to use information technologies effectively. | ||||||||||||||
12) Ability to design and conduct experiments, collect data, analyze data and interpret results for the study of engineering problems or research issues. | ||||||||||||||
13) Ability to communicate effectively, write reports and make presentations in Turkish and English with oral, written and visual methods. | ||||||||||||||
14) In-depth knowledge of appropriate analytical and experimental methods and computational methods for system integration such as simulation (a), production systems (b) operations research (c) and statistics (d). | ||||||||||||||
15) Skills in designing (a) and improving (b), defining goals and criteria (c), analyzing (d) and developing solutions (e) systems that include people, materials, information, equipment and energy to creatively solve real-life problems |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | Adequate knowledge of mathematics (a), science (b) and industrial engineering (c) (1) and the ability to use this knowledge in complex engineering problems. | |
2) | Ability to work effectively both individually and in interdisciplinary and multidisciplinary teams. | |
3) | Awareness of the necessity of lifelong learning and the ability to access information, to follow developments in science and technology, and to constantly renew oneself. | |
4) | Knowledge of project management, risk management, innovation and change management, entrepreneurship and sustainable development | |
5) | Awareness of the sectors and the ability to prepare a business plan. | |
6) | Professional and ethical responsibility awareness and acting in accordance with ethical principles. | |
7) | Information about the problems of the age in the field of engineering and the effects and legal consequences of engineering practices on health, environment and safety in universal and social dimensions. | |
8) | Information about current engineering practices and standards used in engineering practices. | |
9) | The ability to identify, formulate and solve complex engineering problems, and the ability to select and apply appropriate analysis and modeling methods for this purpose. | |
10) | The ability to design a complex system, process, device or product using modern methods under realistic constraints and conditions and to meet specific requirements. | |
11) | The ability to develop, select and use modern techniques and tools necessary for the solution of engineering problems, and the ability to use information technologies effectively. | |
12) | Ability to design and conduct experiments, collect data, analyze data and interpret results for the study of engineering problems or research issues. | |
13) | Ability to communicate effectively, write reports and make presentations in Turkish and English with oral, written and visual methods. | |
14) | In-depth knowledge of appropriate analytical and experimental methods and computational methods for system integration such as simulation (a), production systems (b) operations research (c) and statistics (d). | |
15) | Skills in designing (a) and improving (b), defining goals and criteria (c), analyzing (d) and developing solutions (e) systems that include people, materials, information, equipment and energy to creatively solve real-life problems |
Anlatım | |
Course |
Yazılı Sınav (Açık uçlu sorular, çoktan seçmeli, doğru yanlış, eşleştirme, boşluk doldurma, sıralama) |
Semester Requirements | Number of Activities | Level of Contribution |
Midterms | 1 | % 40 |
Semester Final Exam | 1 | % 60 |
total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 40 | |
PERCENTAGE OF FINAL WORK | % 60 | |
total | % 100 |
Activities | Number of Activities | Duration (Hours) | Workload |
Course Hours | 14 | 3 | 42 |
Study Hours Out of Class | 14 | 3 | 42 |
Midterms | 1 | 2 | 2 |
Final | 1 | 2 | 2 |
Total Workload | 88 |