ETM446 Artificial Intelligence and DesignInstitutional InformationDegree Programs Industrial Design EngineeringInformation For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
Industrial Design Engineering

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Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course General Introduction Information

Course Code: ETM446
Course Name: Artificial Intelligence and Design
Course Semester: Spring
Course Credits:
ECTS
3
Language of instruction:
Course Requirement:
Does the Course Require Work Experience?: No
Type of course: Area Ellective
Course Level:
Bachelor TR-NQF-HE:6. Master`s Degree QF-EHEA:First Cycle EQF-LLL:6. Master`s Degree
Mode of Delivery: Face to face
Course Coordinator : Ar.Gör. İBRAHİM UTBE DEMİR
Course Lecturer(s):
Course Assistants:

Course Purpose and Content

Course Objectives: This course aims to provide an understanding of how artificial intelligence can be integrated into the design process and how it can be used in design processes.
Course Content: This course includes information about the relationships between artificial intelligence technologies and design. The course introduces students to the concepts of artificial intelligence and various artificial intelligence techniques. In addition, the use of AI-supported design tools and human-machine interaction issues are also addressed, providing students with information about how AI can be integrated into design and the usability of AI support in making user-oriented designs with innovative design ideas in the context of this interaction.

Learning Outcomes

The students who have succeeded in this course;
1) To provide information about the basic techniques and methods of artificial intelligence.
2) Ability to use artificial intelligence methods in solving practical problems.
3) Integration of artificial intelligence working model in the field of industrial design.

Course Flow Plan

Week Subject Related Preparation
1) Design with artificial intelligence None
2) Understanding the relationship between artificial intelligence and design None
3) Artificial intelligence design models None
4) Artificial intelligence for static design products None
5) Artificial intelligence for design products in motion None
6) Artificial intelligence for virtual, 3D and software design. None
7) Artificial intelligence and interaction design None
8) Midterm Exam None
9) Artificial Intelligence for Augmented Reality and Virtual Reality None
10) The problem of ethics in design with artificial intelligence None
11) Design clarity and variations in design with artificial intelligence None
12) Artificial intelligence-human relationship in Industrial Design Engineering None
13) Designing artificial intelligence systems None
14) The future of artificial intelligence and the use of artificial intelligence in industrial design engineering. None
15) Final exam None

Sources

Course Notes / Textbooks: Yok / None
References: 1. Neural Architecture: Design and Artificial Intelligence - Matias del Campo
2. Artificial Intelligence Art Design-An Extension Of My BrYZn - Xiaochuan Zhou

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Medium 3 Highest
       
Program Outcomes Level of Contribution
1) Having advanced theoretical and practical knowledge by adapting to developing technology. 3
2) Ability to use the advanced theoretical and practical knowledge acquired. 3
3) Ability to interpret and evaluate data, identify and analyze problems, and develop solution suggestions based on research and evidence, using the advanced knowledge and skills acquired in the field. 3
4) Ability to independently carry out an advanced study related to the field. 3
5) Ability to take responsibility individually and as a team member to solve unforeseen complex problems encountered in field-related applications. 3
6) Ability to plan and manage activities for the development of the employees under his/her responsibility within the framework of a project. 2
7) Ability to critically evaluate the advanced knowledge and skills acquired in the field, 2
8) Ability to determine learning needs and direct learning. 3
9) Being able to develop a positive attitude towards lifelong learning. 3
10) To be able to inform relevant people and institutions on issues related to the field; Ability to convey thoughts and solution suggestions to problems in written and oral form. 2
11) Ability to share one's thoughts on issues related to one's field and solutions to problems, supported by quantitative and qualitative data, with experts and non-experts. 2
12) Ability to organize and implement projects and events for the social environment in which one lives with awareness of social responsibility.
13) Ability to follow the knowledge in the field and communicate with colleagues by using a foreign language at least at the European Language Portfolio B1 General Level.
14) Ability to use information and communication technologies along with computer software at least at the Advanced Level of the European Computer Usage License required by the field. 3
15) Acting in accordance with social, scientific, cultural and ethical values ​​​​in the stages of collecting, interpreting, applying and announcing the results of data related to the field. 3
16) Having sufficient awareness about the universality of social rights, social justice, quality culture and protection of cultural values, environmental protection, occupational health and safety. 3

Learning Activity and Teaching Methods

Beyin fırtınası /Altı şapka
Bireysel çalışma ve ödevi
Course
Homework
Uygulama (Modelleme, Tasarım, Maket, Simülasyon, Deney vs.)
Web Tabanlı Öğrenme

Measurement and Evaluation Methods and Criteria

Yazılı Sınav (Açık uçlu sorular, çoktan seçmeli, doğru yanlış, eşleştirme, boşluk doldurma, sıralama)
Homework
Uygulama
Bireysel Proje
Bilgisayar Destekli Sunum

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Midterms 1 % 40
Final 1 % 60
total % 100
PERCENTAGE OF SEMESTER WORK % 40
PERCENTAGE OF FINAL WORK % 60
total % 100

İş Yükü ve AKTS Kredisi Hesaplaması

Activities Number of Activities Aktiviteye Hazırlık Aktivitede Harçanan Süre Aktivite Gereksinimi İçin Süre Workload
Course Hours 14 4 56
Application 4 6 24
Midterms 1 5 5
Final 1 5 5
Total Workload 90