| Ders Adı | Kodu | Yarıyıl | T+U Saat | Kredi | AKTS |
|---|---|---|---|---|---|
| Artıfıcal Intellıgence | BSM 310 | 6 | 3 + 0 | 3 | 5 |
| Ön Koşul Dersleri | |
| Önerilen Seçmeli Dersler | |
| Dersin Dili | Türkçe |
| Dersin Seviyesi | Lisans |
| Dersin Türü | Zorunlu |
| Dersin Koordinatörü | Dr.Öğr.Üyesi İSMAİL ÖZTEL |
| Dersi Verenler | Dr.Öğr.Üyesi İSMAİL ÖZTEL, |
| Dersin Yardımcıları | |
| Dersin Kategorisi | Diğer |
| Dersin Amacı | The aim of this course is to give basic introduction to Artificial intelligent. In this course we will study artificial intelligent algorithms. Students will also learn how to solve their problems using artificial intelligent algorithms. |
| Dersin İçeriği | Learn the basic AI techniques, the problems for which they are applicable and their limitations. Topics covered include search (solving puzzles, playing games), planning, logical inference (drawing conclusions from data), expert systems, natural language processing and machine learning |
| # | Ders Öğrenme Çıktıları | Öğretim Yöntemleri | Ölçme Yöntemleri |
|---|---|---|---|
| 1 | Understand basic concepts and techniques of Artificial intelligence | Lecture, Self Study, | Testing, |
| 2 | Understand AI by doing it, i.e. developing machine and programs acting like human and animals. | Self Study, Drilland Practice, Lecture, | Testing, |
| 3 | Comprehend common methods of AI and how to use them. | Self Study, Case Study, Drilland Practice, Lecture, | Testing, Homework, |
| 4 | Comprehend how to solve engineering problems with artificial intelligent algorithms | Project Based Learning, Simulation, Group Study, Lecture, | Homework, Oral Exam, Project / Design, |
| Hafta | Ders Konuları | Ön Hazırlık |
|---|---|---|
| 1 | Introduction to Artificial Intelligent | |
| 2 | Search algorithms | |
| 3 | Search algorithms | |
| 4 | Heuristic search algorithms | |
| 5 | Heuristic search algorithms | |
| 6 | Heuristic search algorithms and using them in game programming | |
| 7 | Expert system | |
| 8 | Expert system | |
| 9 | Artificial neural networks | |
| 10 | Artificial neural networks | |
| 11 | Intelligent agent | |
| 12 | Genetic algorithm | |
| 13 | Artificial intelligent applications | |
| 14 | Student presentations |
| Kaynaklar | |
|---|---|
| Ders Notu | Artifical Intelligence Lecture Notes |
| Ders Kaynakları | 1.Stuart Russell, Peter Norvig; Artificial Intelligence A Modern Approach, Prentice-Hall, Inc., 1995. 2.Ivan Bratko, Prolog programming for Artificial Intelligence, Addison Wesley Publisher limited, 2001. |
| Sıra | Program Çıktıları | Katkı Düzeyi | |||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | To have sufficient foundations on engineering subjects such as science and discrete mathematics, probability/statistics; an ability to use theoretical and applied knowledge of these subjects together for engineering solutions, | X | |||||
| 2 | An ability to determine, describe, formulate and solve engineering problems; for this purpose, an ability to select and apply proper analytic and modeling methods,al background in describing, formulating, modeling and analyzing the engineering problem, with a consideration for appropriate analytical solutions in all necessary situations | X | |||||
| 3 | An ability to select and use modern techniques and tools for engineering applications; an ability to use information technologies efficiently, | X | |||||
| 4 | An ability to analyze a system, a component or a process and design a system under real limits to meet desired needs; in this direction, an ability to apply modern design methods, | X | |||||
| 5 | An ability to design, conduct experiment, collect data, analyze and comment on the results and consciousness of becoming a volunteer on research, | ||||||
| 6 | Understanding, awareness of administration, control, development and security/reliability issues about information technologies, | X | |||||
| 7 | An ability to work efficiently in multidisciplinary teams, self confidence to take responsibility, | X | |||||
| 8 | An ability to present himself/herself or a problem with oral/written techniques and have efficient communication skills; know at least one extra language, | X | |||||
| 9 | An awareness about importance of lifelong learning; an ability to update his/her knowledge continuously by means of following advances in science and technology, | X | |||||
| 10 | Understanding, practicing of professional and ethical responsibilities, an ability to disseminate this responsibility on society, | X | |||||
| 11 | An understanding of project management, workplace applications, health issues of laborers, environment and job safety; an awareness about legal consequences of engineering applications, | X | |||||
| 12 | An understanding universal and local effects of engineering solutions; awareness of entrepreneurial and innovation and to have knowledge about contemporary problems. | ||||||
| 13 | |||||||
| Değerlendirme Sistemi | |
|---|---|
| Yarıyıl Çalışmaları | Katkı Oranı |
| 1. Ara Sınav | 40 |
| 1. Kısa Sınav | 10 |
| 1. Ödev | 25 |
| 2. Ödev | 25 |
| Toplam | 100 |
| 1. Yıl İçinin Başarıya | 50 |
| 1. Final | 50 |
| Toplam | 100 |
| AKTS - İş Yükü Etkinlik | Sayı | Süre (Saat) | Toplam İş Yükü (Saat) |
|---|---|---|---|
| Course Duration (Including the exam week: 16x Total course hours) | 16 | 3 | 48 |
| Hours for off-the-classroom study (Pre-study, practice) | 16 | 3 | 48 |
| Mid-terms | 1 | 8 | 8 |
| Quiz | 2 | 3 | 6 |
| Assignment | 2 | 8 | 16 |
| Final examination | 1 | 8 | 8 |
| Toplam İş Yükü | 134 | ||
| Toplam İş Yükü / 25 (Saat) | 5,36 | ||
| Dersin AKTS Kredisi | 5 | ||