Graphic Design
Course Details
KTO KARATAY UNIVERSITY
Faculty of Fine Arts and Design
Programme of Graphic Design
Course Details
Faculty of Fine Arts and Design
Programme of Graphic Design
Course Details
| Course Code | Course Name | Year | Period | Semester | T+A+L | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| 04661017 | Artificial Intelligence and Design | 3 | Spring | 6 | 2+2+0 | 4 | 6 |
| Course Type | Elective |
| Course Cycle | Bachelor's (First Cycle) (TQF-HE: Level 6 / QF-EHEA: Level 1 / EQF-LLL: Level 6) |
| Course Language | Turkish |
| Methods and Techniques | Anlatım, Tartışma ve Uygulama |
| Mode of Delivery | Face to Face |
| Prerequisites | - |
| Coordinator | - |
| Instructor(s) | Asst. Prof. Necati VARDAR |
| Instructor Assistant(s) | - |
Course Content
This course covers the fundamentals of artificial intelligence and machine learning, artificial intelligence applications and their use in design processes, user experience and artificial intelligence interface design, artificial intelligence ethics and security issues, and future artificial intelligence trends and design orientations.
Objectives of the Course
This course is designed to teach students the basic concepts of artificial intelligence technologies and how these technologies can be used in design processes. It is also aimed to provide students with an understanding of the ethical, social and economic dimensions of artificial intelligence.
Contribution of the Course to Field Teaching
| Basic Vocational Courses | |
| Specialization / Field Courses | |
| Support Courses | X |
| Transferable Skills Courses | |
| Humanities, Communication and Management Skills Courses |
Relationships between Course Learning Outcomes and Program Outcomes
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Program Learning Outcomes | Level |
|---|---|---|
| P4 | To be able to use computer software, technologies, techniques and innovations in the field effectively. | 4 |
| P7 | To be able to interpret and critically evaluate data using the knowledge and skills acquired in the field of graphic design, to be able to define and analyse problems, to be able to plan the process based on research and evidence, to be able to solve design problems. | 5 |
| P8 | To be able to convey the right message and indicators to the target audience through the right communication channels by using photographic, typographic, illustrative, moving and interactive elements in the production and production process of two and three dimensional designs for traditional and new media. | 5 |
Course Learning Outcomes
| Upon the successful completion of this course, students will be able to: | |||
|---|---|---|---|
| No | Learning Outcomes | Outcome Relationship | Measurement Method ** |
| O1 | To be able to use related computer software and information and communication technologies effectively for design. | P.4.1 | 7 |
| O2 | To be able to present their designs through technological devices such as computer etc. | P.4.3 | 7 |
| O3 | To be able to develop all processes of a design | P.7.3 | 1,7 |
| O4 | To be able to apply graphic design products in two and three dimensions. | P.8.1 | 7 |
| O5 | To be able to present traditional elements with contemporary interpretations. | P.8.3 | 7 |
| ** Written Exam: 1, Oral Exam: 2, Homework: 3, Lab./Exam: 4, Seminar/Presentation: 5, Term Paper: 6, Application: 7 | |||
Weekly Detailed Course Contents
| Week | Topics |
|---|---|
| 1 | Introduction and Basic Concepts |
| 2 | Types of Artificial Intelligence |
| 3 | Machine Learning and Deep Learning |
| 4 | Data and Data Analytics |
| 5 | Design Process and Artificial Intelligence |
| 6 | User Experience (UX) and Artificial Intelligence |
| 7 | Visual Design and Artificial Intelligence |
| 8 | Midterm Exam |
| 9 | Voice and Speech Recognition Technologies and Virtual and Augmented Reality |
| 10 | Artificial Intelligence and Ethics |
| 11 | Future Design Trends |
| 12 | Project Development and Management |
| 13 | Applications and Case Studies |
| 14 | Project Presentation and Evaluation |
Textbook or Material
| Resources | RUSSEL, S., & NORVING, P. (2020). Artificial Intelligence: A Modern Approach (4th ed.). Pearson. |
| TOSUN, B. (2021). Dijital Dönüşüm ve Tasarım. Beta Yayınları. |
Evaluation Method and Passing Criteria
| In-Term Studies | Quantity | Percentage |
|---|---|---|
| Attendance | - | - |
| Laboratory | - | - |
| Practice | - | - |
| Field Study | - | - |
| Course Specific Internship (If Any) | - | - |
| Homework | - | - |
| Presentation | - | - |
| Projects | - | - |
| Seminar | - | - |
| Quiz | - | - |
| Listening | - | - |
| Midterms | 1 | 40 (%) |
| Final Exam | 1 | 60 (%) |
| Total | 100 (%) | |
ECTS / Working Load Table
| Quantity | Duration | Total Work Load | |
|---|---|---|---|
| Course Week Number and Time | 14 | 2 | 28 |
| Out-of-Class Study Time (Pre-study, Library, Reinforcement) | 14 | 1 | 14 |
| Midterms | 1 | 12 | 12 |
| Quiz | 0 | 0 | 0 |
| Homework | 3 | 13 | 39 |
| Practice | 3 | 15 | 45 |
| Laboratory | 0 | 0 | 0 |
| Project | 0 | 0 | 0 |
| Workshop | 0 | 0 | 0 |
| Presentation/Seminar Preparation | 2 | 15 | 30 |
| Fieldwork | 0 | 0 | 0 |
| Final Exam | 1 | 12 | 12 |
| Other | 0 | 0 | 0 |
| Total Work Load: | 180 | ||
| Total Work Load / 30 | 6 | ||
| Course ECTS Credits: | 6 | ||
Course - Learning Outcomes Matrix
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Learning Outcomes | P4 | P7 | P8 |
|---|---|---|---|---|
| O1 | To be able to use related computer software and information and communication technologies effectively for design. | 5 | - | - |
| O2 | To be able to present their designs through technological devices such as computer etc. | 5 | - | - |
| O3 | To be able to develop all processes of a design | - | 5 | - |
| O4 | To be able to apply graphic design products in two and three dimensions. | - | - | 5 |
| O5 | To be able to present traditional elements with contemporary interpretations. | - | - | 5 |