Information Package / Course Catalogue
| Course Code | : MİÇ518 |
| Course Type | : Area Elective |
| Couse Group | : Second Cycle (Master's Degree) |
| Education Language | : Turkish |
| Work Placement | : N/A |
| Theory | : 1 |
| Prt. | : 2 |
| Credit | : 2 |
| Lab | : 0 |
| ECTS | : 5 |
Design with AI explores the intersection of artificial intelligence and design. This course provides a comprehensive introduction to generative AI and its applications in various design domains, including static, moving, and 3D design. Students will learn about different generative AI models and techniques used in design, and gain hands-on experience in creating AI-powered design projects. The course also delves into the future of designing with AI, examining emerging trends and potential implications for the field of design
Formulate design representations of a given design task and identify data sources for analysis Using artificial intelligence techniques to identify design requirements Using artificial intelligence techniques to generate design solutions
| Prof. Barış ATİKER |
| 1. | Understanding Generative Artificial Intelligence: Students will have a solid understanding of generative AI and its practical applications in design. They will be able to explain key concepts such as generative models and understand how AI can be used to create innovative and novel design outputs. |
| 2. | Proficiency in AI Design Tools: Students will gain hands-on experience with various AI design tools and techniques. They will develop proficiency in using AI-enabled software and platforms for static, motion and 3D design, enabling them to improve their design process and results. |
| 3. | Practical Artificial Intelligence in Design Projects: Throughout the course, students will have the opportunity to Practical AI in design projects. They will be able to integrate generative AI techniques and models into their work and create AI-enabled design outputs that demonstrate creativity, uniqueness and technical proficiency. |
| 4. | Ethical and Responsible Design Practicals: Students will develop a strong awareness of the ethical considerations and biases associated with AI in design. They will learn to critically evaluate and address potential biases and ethical concerns, ensuring that design outcomes are inclusive, equitable and consider the societal impact of AI. |
| 5. | Vision for the Future of Design with AI: By exploring the future of design with AI, students will develop a forward-thinking perspective on the role of AI in the design industry. They will be able to identify emerging trends, anticipate potential challenges and opportunities, and envision new possibilities for integrating AI into future design Practicals. |
| 1. | Neural Architecture: Design and Artificial Intelligence - Matias del Campo |
| 2. | Artificial Intelligence Art Design-An Extension Of My BrYZn - Xiaochuan Zhou |
| Type of Assessment | Count | Percent |
|---|---|---|
| Midterm Examination | 1 | %40 |
| Project | 1 | %60 |
| Activities | Count | Preparation | Time | Total Work Load (hours) |
|---|---|---|---|---|
| Lecture - Theory | 5 | 1 | 3 | 20 |
| Lecture - Practice | 10 | 1 | 3 | 40 |
| Project | 5 | 5 | 5 | 50 |
| Studio Work | 1 | 2 | 5 | 7 |
| Midterm Examination | 1 | 5 | 2 | 7 |
| TOTAL WORKLOAD (hours) | 124 | |||
PÇ-1 | PÇ-2 | PÇ-3 | PÇ-4 | PÇ-5 | PÇ-6 | PÇ-7 | PÇ-8 | |
OÇ-1 | 5 | 3 | 1 | 4 | 5 | 5 | ||
OÇ-2 | 5 | 3 | 1 | 4 | 5 | 5 | ||
OÇ-3 | 4 | 3 | 5 | 5 | ||||
OÇ-4 | 4 | 5 | 5 | |||||
OÇ-5 | 4 | 5 | ||||||