BİLGİ PAKETİ / DERS KATALOĞU
| DEPARTMENT OF SOFTWARE ENGINEERING (ENGLISH) | |||||
| Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 | ||
Ders Genel Tanıtım Bilgileri
| Course Code: | 1413311001 | ||||||||
| 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: | Necessary | ||||||||
| Course Level: |
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| Mode of Delivery: | Face to face | ||||||||
| Course Coordinator : | Dr.Öğr.Üyesi Adem ÖZYAVAŞ | ||||||||
| Course Lecturer(s): |
Prof. Dr. Haluk GÜMÜŞKAYA |
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| Course Assistants: |
Dersin Amaç ve İçeriği
| Course Objectives: | The aim of the course is to provide students with information on basic techniques and methods in artificial intelligence and to enable students to have the ability to use artificial intelligence methods in 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. Game Problems. Prolog programming language, information representation and logical inference. |
Learning Outcomes
The students who have succeeded in this course;
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Ders Akış Planı
| Week | Subject | Related Preparation |
| 1) | Basic Concepts, Artificial Intelligence history and philosophy | Artificial Intelligence: A Modern Approach. Stuart Russell, Peter Norvig, Prentice Hall, Second Edition |
| 2) | Clever Agents | Artificial Intelligence: A Modern Approach. Stuart Russell, Peter Norvig, Prentice Hall, Second Edition |
| 3) | Introduction to Problem Solving and Search Algorithms with Artificial Intelligence | Artificial Intelligence: A Modern Approach. Stuart Russell, Peter Norvig, Prentice Hall, Second Edition |
| 4) | Search Algorithms That Don't Use Problem Information | Artificial Intelligence: A Modern Approach. Stuart Russell, Peter Norvig, Prentice Hall, Second Edition |
| 5) | Intuitive Search | Artificial Intelligence: A Modern Approach. Stuart Russell, Peter Norvig, Prentice Hall, Second Edition |
| 6) | Game Problems | Artificial Intelligence: A Modern Approach. Stuart Russell, Peter Norvig, Prentice Hall, Second Edition |
| 7) | Heuristic Search Methods | Artificial Intelligence: A Modern Approach. Stuart Russell, Peter Norvig, Prentice Hall, Second Edition |
| 8) | midterm exam | Artificial Intelligence: A Modern Approach. Stuart Russell, Peter Norvig, Prentice Hall, Second Edition |
| 9) | Artificial neural networks | Artificial Intelligence: A Modern Approach. Stuart Russell, Peter Norvig, Prentice Hall, Second Edition |
| 10) | Knowledge-Based Agents | Artificial Intelligence: A Modern Approach. Stuart Russell, Peter Norvig, Prentice Hall, Second Edition |
| 11) | Logic | Artificial Intelligence: A Modern Approach. Stuart Russell, Peter Norvig, Prentice Hall, Second Edition |
| 12) | Inference in First Order Logic | Artificial Intelligence: A Modern Approach. Stuart Russell, Peter Norvig, Prentice Hall, Second Edition |
| 13) | Inference in First Order Logic | Artificial Intelligence: A Modern Approach. Stuart Russell, Peter Norvig, Prentice Hall, Second Edition |
| 14) | Prolog 1 | Artificial Intelligence: A Modern Approach. Stuart Russell, Peter Norvig, Prentice Hall, Second Edition |
| 15) | Prolog 2 | Artificial Intelligence: A Modern Approach. Stuart Russell, Peter Norvig, Prentice Hall, Second Edition |
| 16) | Final | Artificial Intelligence: A Modern Approach. Stuart Russell, Peter Norvig, Prentice Hall, Second Edition |
Sources
| 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 |
Ders - Program Öğrenme Kazanım İlişkisi
| Ders Öğrenme Kazanımları | 1 |
2 |
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| Program Outcomes | ||||||||||
| 1) Competent knowledge of mathematics, science and technology, and computer engineering; ability to apply this knowledge to engineering solutions. | ||||||||||
| 2) Skills to design and conduct experiments, collect data, analyze and interpret results. | ||||||||||
| 3) Ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; ability to apply modern design methods for this purpose. | ||||||||||
| 4) Ability to develop, select and use modern techniques and tools required for analysis and solution of complex problems encountered in engineering practice; ability to use information technologies effectively. | ||||||||||
| 5) Ability to design and conduct experiments, collect data, analyze and interpret results to investigate complex engineering problems or discipline-specific research topics. | ||||||||||
| 6) Ability to work effectively in intra-disciplinary and multi-disciplinary teams; ability to work individually. | ||||||||||
| 7) Ability to communicate effectively in Turkish, both orally and in writing; Knowledge of at least one foreign language; the ability to write and understand written reports effectively, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions. | ||||||||||
| 8) Awareness of the necessity of lifelong learning; the ability to access information, to follow developments in science and technology, and to constantly renew oneself. | ||||||||||
| 9) Acting in accordance with ethical principles, professional and ethical responsibility awareness; information about standards used in engineering applications. | ||||||||||
| 10) Information about business life practices such as project management, risk management and change management; awareness of entrepreneurship, innovation; information about sustainable development. | ||||||||||
| 11) Knowledge about the universal and social effects of engineering applications on health, environment and safety and the problems of the age reflected in the field of engineering; awareness of the legal consequences of engineering solutions. | ||||||||||
Ders - Öğrenme Kazanımı İlişkisi
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | Competent knowledge of mathematics, science and technology, and computer engineering; ability to apply this knowledge to engineering solutions. | 4 |
| 2) | Skills to design and conduct experiments, collect data, analyze and interpret results. | 4 |
| 3) | Ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; ability to apply modern design methods for this purpose. | 4 |
| 4) | Ability to develop, select and use modern techniques and tools required for analysis and solution of complex problems encountered in engineering practice; ability to use information technologies effectively. | 4 |
| 5) | Ability to design and conduct experiments, collect data, analyze and interpret results to investigate complex engineering problems or discipline-specific research topics. | 4 |
| 6) | Ability to work effectively in intra-disciplinary and multi-disciplinary teams; ability to work individually. | |
| 7) | Ability to communicate effectively in Turkish, both orally and in writing; Knowledge of at least one foreign language; the ability to write and understand written reports effectively, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions. | |
| 8) | Awareness of the necessity of lifelong learning; the ability to access information, to follow developments in science and technology, and to constantly renew oneself. | |
| 9) | Acting in accordance with ethical principles, professional and ethical responsibility awareness; information about standards used in engineering applications. | |
| 10) | Information about business life practices such as project management, risk management and change management; awareness of entrepreneurship, innovation; information about sustainable development. | |
| 11) | Knowledge about the universal and social effects of engineering applications on health, environment and safety and the problems of the age reflected in the field of engineering; awareness of the legal consequences of engineering solutions. |
Öğrenme Etkinliği ve Öğretme Yöntemleri
Ölçme ve Değerlendirme Yöntemleri ve Kriterleri
| Yazılı Sınav (Açık uçlu sorular, çoktan seçmeli, doğru yanlış, eşleştirme, boşluk doldurma, sıralama) | |
| Homework | |
| Bireysel Proje |
Assessment & Grading
| Semester Requirements | Number of Activities | Level of Contribution |
| Attendance | 10 | % 10 |
| Homework Assignments | 5 | % 20 |
| Midterms | 1 | % 30 |
| Semester Final Exam | 1 | % 40 |
| total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 60 | |
| PERCENTAGE OF FINAL WORK | % 40 | |
| total | % 100 | |
İş Yükü ve AKTS Kredisi Hesaplaması
| Activities | Number of Activities | Duration (Hours) | Workload |
| Course Hours | 14 | 2 | 28 |
| Laboratory | 14 | 2 | 28 |
| Application | 13 | 4 | 52 |
| Project | 1 | 30 | 30 |
| Midterms | 1 | 2 | 2 |
| Final | 1 | 2 | 2 |
| Total Workload | 142 | ||