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Information
| Code | CEN348 |
| Name | Artificial Intelligence Systems |
| Term | 2024-2025 Academic Year |
| Semester | 6. Semester |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 5 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | İngilizce |
| Level | Lisans Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Doç. Dr. MUSTAFA ORAL |
| Course Instructor |
1 2 |
Course Goal / Objective
Knowledge representation. Search and intuitive programming. Logic and logic programming. Applications of artificial intelligence: Problem solving, games and puzzles, expert systems, planning, learning, pattern recognition, natural language understanding.
Course Content
Representation of knowledge. Search and heuristic programming. Logic and logic programming. Application areas of artificial intelligence: Problem solving, games and puzzles, expert systems, planning, learning, vision, and natural language understanding. Exercises in an artificial intelligence language
Course Precondition
None
Resources
1 Nabiyev V. V., 2005 Yapay Zeka: Problemler, Yöntemler, Algoritmalar, Ankara (2. Baskı) 2 Russell, Stuart J. ; Norvig, Peter, 2003 , Artificial Intelligence: A Modern Approach (2nd ed. )
Notes
1 Nilsson, Nils,1998 , Artificial Intelligence: A New Synthesis, Morgan Kaufmann Publishers, ISBN 978-1-55860-467-4
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Make comparisons between artificial and natural intelligence |
| LO02 | Have knowledge about the main problems of artificial intelligence |
| LO03 | Can decide which of the basic search or heuristic search techniques to give priority in solving various problems. |
| LO04 | Makes information modeling and programs on the computer |
| LO05 | By understanding how basic behavior patterns such as speech, natural language and learning are modeled in computer applications, they can apply basic approaches, ANN, with genetic algorithms. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Adequate knowledge of mathematics, science and related engineering disciplines; ability to use theoretical and applied knowledge in these fields in solving complex engineering problems. | 4 |
| PLO02 | Bilgi - Kuramsal, Olgusal | Ability to identify, formulate and solve complex engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose. | 4 |
| PLO03 | Bilgi - Kuramsal, Olgusal | Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose. | 4 |
| PLO04 | Bilgi - Kuramsal, Olgusal | Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering practice; ability to use information technologies effectively. | 5 |
| PLO05 | Bilgi - Kuramsal, Olgusal | Ability to design and conduct experiments, collect data, analyze and interpret results to investigate complex engineering problems or discipline-specific research topics. | 4 |
| PLO06 | Bilgi - Kuramsal, Olgusal | Ability to work effectively in interdisciplinary and multidisciplinary teams; individual working skills. | 3 |
| PLO07 | Bilgi - Kuramsal, Olgusal | Ability to communicate effectively verbally and in writing; knowledge of at least one foreign language; ability to write effective reports and understand written reports, prepare design and production reports, make effective presentations, and give and receive clear and understandable instructions. | 3 |
| PLO08 | Bilgi - Kuramsal, Olgusal | Awareness of the necessity of lifelong learning; ability to access information, follow developments in science and technology, and constantly renew oneself. | 2 |
| PLO09 | Bilgi - Kuramsal, Olgusal | Knowledge of ethical principles, professional and ethical responsibility, and standards used in engineering practice. | 3 |
| PLO10 | Bilgi - Kuramsal, Olgusal | Knowledge of business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; knowledge of sustainable development. | 1 |
| PLO11 | Bilgi - Kuramsal, Olgusal | Knowledge of the effects of engineering practices on health, environment and safety in universal and social dimensions and the problems of the age reflected in the field of engineering; awareness of the legal consequences of engineering solutions. |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction to Artificial Intelligence | Reading the lecture notes | Öğretim Yöntemleri: Anlatım, Tartışma |
| 2 | Intelligent Agents | Reading the lecture notes | Öğretim Yöntemleri: Anlatım, Tartışma |
| 3 | Problem Solving and Search | Reading the lecture notes | Öğretim Yöntemleri: Anlatım, Tartışma |
| 4 | Heuristic Problem Examples | Reading the lecture notes | Öğretim Yöntemleri: Anlatım, Tartışma |
| 5 | Pattern Recognition | Reading the lecture notes | Öğretim Yöntemleri: Anlatım, Tartışma |
| 6 | Expert Systems | Reading the lecture notes | Öğretim Yöntemleri: Anlatım, Tartışma |
| 7 | Learning and Neural Networks | Reading the lecture notes | Öğretim Yöntemleri: Anlatım, Tartışma |
| 8 | Mid-Term Exam | Exam preparation | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | Fuzzy Logic | Reading the lecture notes | Öğretim Yöntemleri: Anlatım, Tartışma |
| 10 | Evolutionary Methods | Reading the lecture notes | Öğretim Yöntemleri: Anlatım, Tartışma |
| 11 | Genetic Algorithm | Reading the lecture notes | Öğretim Yöntemleri: Anlatım, Tartışma |
| 12 | Ant Colony Algorithm | Reading the lecture notes | Öğretim Yöntemleri: Anlatım, Tartışma |
| 13 | Project Presentations 1 | Reading the lecture notes | Öğretim Yöntemleri: Gösterip Yaptırma, Bireysel Çalışma, Proje Temelli Öğrenme |
| 14 | Project Presentations 2 | Reading the lecture notes | Öğretim Yöntemleri: Gösterip Yaptırma, Proje Temelli Öğrenme , Bireysel Çalışma |
| 15 | Problem Solving | Reading the lecture notes | Öğretim Yöntemleri: Anlatım, Tartışma, Soru-Cevap, Örnek Olay |
| 16 | Term Exams | Exam preparation | Ölçme Yöntemleri: Yazılı Sınav |
| 17 | Term Exams | Exam preparation | Ölçme Yöntemleri: Yazılı Sınav |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 3 | 42 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 12 | 12 |
| Final Exam | 1 | 18 | 18 |
| Total Workload (Hour) | 114 | ||
| Total Workload / 25 (h) | 4,56 | ||
| ECTS | 5 ECTS | ||