Software Engineering | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code: | BYM308 | ||||
Course Name: | Introduction to Artificial Intelligence | ||||
Course Semester: | Spring | ||||
Course Credits: |
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Language of instruction: | TR | ||||
Course Requirement: | |||||
Does the Course Require Work Experience?: | No | ||||
Type of course: | Necessary | ||||
Course Level: |
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Mode of Delivery: | Face to face | ||||
Course Coordinator : | Assoc. Prof. HATİCE ESRA ÖZKAN UÇAR | ||||
Course Lecturer(s): | Prof. Dr. Halis ALTUN | ||||
Course Assistants: |
Course Objectives: | The aim of this course is to provide students the knowledge about the basic techniques and methodologies of artificial intelligence and abilities to apply artificial intelligence methods on practical problems. |
Course Content: | Basic concepts and techniques of AI. Problem solving in AI, informed and uninformed search techniques, Local search techniques and simulated annealing. Meta-heuristic search methods. Introduction to Neural Networks. Game playing, Prolog overview, knowledge representation and reasoning. |
The students who have succeeded in this course;
1) Knowledge about the basic methodologies in artificial intelligence., 2) Ability to use knowledge to formulate, and solve practical problems using artificial intelligence techniques. |
Week | Subject | Related Preparation |
1) | Introductory terms, foundations, history and philosophy of AI | - |
2) | Intelligent Agents | - |
3) | Problem Solving and Introduction to Search Methods | - |
4) | Uninformed Search Methodologies | - |
5) | Heuristic Search | - |
6) | Game Playing | - |
7) | Meta-Heuristics | - |
8) | Neural Networks | - |
9) | Knowledge Based Agents | - |
10) | First Order Logic | - |
11) | Inference in First Order Logic | - |
12) | Prolog and Logic Programming | - |
13) | Prolog and Logic Programming | - |
14) | Probabilistic Reasoning | - |
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. |
No Effect | 1 Lowest | 2 Medium | 3 Highest |
Program Outcomes | Level of Contribution | |
1) | Sufficient knowledge in mathematics, science and software engineering discipline-specific topics; the theoretical and practical knowledge in these areas, the ability to use in complex engineering problems. | 3 |
2) | The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modelling methods for this purpose. | 2 |
3) | 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. | 2 |
4) | Ability to develop, select and use modern techniques and tools necessary for analysis and solution of complex problems in engineering applications; ability to use information technologies effectively. | 2 |
5) | Ability to design experiments, conduct experiments, collect data, analyse and interpret the results of complex engineering problems or discipline-specific research topics. | 1 |
6) | Disiplin içi ve çok disiplinli takımlarda etkin biçimde çalışabilme becerisi; bireysel çalışma becerisi. | 2 |
7) | Awareness of the need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal. | 2 |
8) | Effective communication skills in Turkish oral and written communication; at least one foreign language knowledge; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give clear and understandable instructions and to receive. | 3 |
9) | Conformity to ethical principles, professional and ethical responsibility; Information on standards used in engineering applications. | 2 |
10) | Information on practices in business, such as project management, risk management and change management; awareness about entrepreneurship, innovation; information on sustainable development. | 3 |
11) | Information on the effects of engineering applications on health, environment, and safety in universal and social dimensions, and on the problems of the modern age in engineering; awareness of the legal consequences of engineering solutions. | 2 |
12) | Adequate skills in the analysis, design, verification, evaluation, implementation, implementation, and maintenance of software systems | 3 |
Alan Çalışması | |
Anlatım | |
Beyin fırtınası /Altı şapka | |
Bireysel çalışma ve ödevi | |
Course | |
Grup çalışması ve ödevi | |
Labs | |
Homework | |
Problem Çözme | |
Uygulama (Modelleme, Tasarım, Maket, Simülasyon, Deney vs.) |
Yazılı Sınav (Açık uçlu sorular, çoktan seçmeli, doğru yanlış, eşleştirme, boşluk doldurma, sıralama) | |
Sözlü sınav | |
Homework | |
Uygulama | |
Bireysel Proje | |
Grup Projesi | |
Sunum |
Semester Requirements | Number of Activities | Level of Contribution |
Application | 2 | % 30 |
Midterms | 1 | % 30 |
Final | 1 | % 40 |
total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 60 | |
PERCENTAGE OF FINAL WORK | % 40 | |
total | % 100 |
Activities | Number of Activities | Aktiviteye Hazırlık | Aktivitede Harçanan Süre | Aktivite Gereksinimi İçin Süre | Workload | ||
Course Hours | 10 | 5 | 50 | ||||
Application | 3 | 9 | 27 | ||||
Homework Assignments | 2 | 24 | 48 | ||||
Midterms | 1 | 24 | 24 | ||||
Final | 1 | 24 | 24 | ||||
Total Workload | 173 |