| ARTIFICIAL INTELLIGENCE ENGINEERING | |||||
| Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 | ||
| Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
| GEP0810 | Systems-Design Thinking and Management | Fall | 3 | 0 | 3 | 5 |
| The course opens with the approval of the Department at the beginning of each semester |
| Language of instruction: | En |
| Type of course: | GE-Elective |
| Course Level: | Bachelor |
| Mode of Delivery: | Face to face |
| Course Coordinator : | Dr. BURCU ALARSLAN ULUDAŞ |
| Course Lecturer(s): |
Dr. Öğr. Üyesi MEHMET DEĞİRMENCİ Dr. BURCU ALARSLAN ULUDAŞ |
| Course Objectives: | Attendants will be informed about; thinking process, method, methodology, holistic thinking, design thinking and designing purposfull systems. |
|
The students who have succeeded in this course; At the end of the course attendants will be informed about: -Thinking process -Problem formulation -How to answer why, how and what questions? -The concepts of feedback, chaos, and complexity -The difference between mindless and minded systems. -Design thinking. -Interactive planning -Decision support systems |
| Thinking process, systems thinking,chaos and complexity, methodology,socio-cultural systems, iterative process of inquiry, design thinking, interactive planning,decision support systems |
| Week | Subject | Related Preparation | |
| 1) | Thinking process: dreaming, metaphor, inquaiy, paradigm, environment | Text | |
| 2) | How to answer what, how and why questions. Reductionist and holistic approaches | Text | |
| 3) | Systems thinking: definition of systems and the implications of definitions for real life problems | Text | |
| 4) | Systems principals | Text | |
| 5) | Theory of chaos and complexity | Text | |
| 6) | Socio-cultural systems | Text | |
| 7) | General review | Text | |
| 8) | Midterm exam | ||
| 9) | İterative holistic inquiry | Text | |
| 10) | Design thinking | Text | |
| 11) | Idealized design | Text | |
| 12) | Interactive planning | Text | |
| 13) | Case study | Text | |
| 14) | Desicion support systems | Text | |
| Course Notes: | DEĞİRMENCİ, M.(2007) Amaçlı canlılar:yönetimde üçüncü nesil sistem düşüncesi, İstanbul, Hiperlink |
| References: | CAPRA, F. (1996) Yaşamın örgüsü : zihin ve maddenin yeni bir örgüsü, (çev. B. KURYEL).İstanbul, Yapı Merkezi. MORGAN, G. (1997) Yönetim ve örgüt teorilerinde metafor, (çev.G. BULUT). İstanbul, MESS. ACKOFF, R.L. (1999) Re-Creating the corporation : a design of organizations for the 21st centuary. New York, Oxford University Press. GHARAJEDAGHI, J. (2011) Systems thinking : managing chaos and complexity: a platform for designing business architecture. Burlington, Morgan kaufmann. |
| Semester Requirements | Number of Activities | Level of Contribution |
| Attendance | 14 | % 10 |
| Laboratory | % 0 | |
| Application | % 0 | |
| Field Work | % 0 | |
| Special Course Internship (Work Placement) | % 0 | |
| Quizzes | % 0 | |
| Homework Assignments | % 0 | |
| Presentation | % 0 | |
| Project | % 0 | |
| Seminar | % 0 | |
| Midterms | 1 | % 40 |
| Preliminary Jury | % 0 | |
| Final | 1 | % 50 |
| Paper Submission | % 0 | |
| Jury | % 0 | |
| Bütünleme | % 0 | |
| Total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 50 | |
| PERCENTAGE OF FINAL WORK | % 50 | |
| Total | % 100 | |
| Activities | Number of Activities | Duration (Hours) | Workload |
| Course Hours | 14 | 3 | 42 |
| Laboratory | 0 | 0 | 0 |
| Application | 0 | 0 | 0 |
| Special Course Internship (Work Placement) | 0 | 0 | 0 |
| Field Work | 0 | 0 | 0 |
| Study Hours Out of Class | 0 | 0 | 0 |
| Presentations / Seminar | 0 | 0 | 0 |
| Project | 0 | 0 | 0 |
| Homework Assignments | 0 | 0 | 0 |
| Quizzes | 0 | 0 | 0 |
| Preliminary Jury | 0 | ||
| Midterms | 1 | 24 | 24 |
| Paper Submission | 0 | ||
| Jury | 0 | ||
| Final | 1 | 30 | 30 |
| Total Workload | 96 | ||
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | Have sufficient background in mathematics, science and artificial intelligence engineering. | |
| 2) | Use theoretical and applied knowledge in the fields of mathematics, science and artificial intelligence engineering together for engineering solutions. | |
| 3) | Identify, define, formulate and solve engineering problems, select and apply appropriate analytical methods and modeling techniques for this purpose. | |
| 4) | Analyse a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods in this direction. | |
| 5) | Select and use modern techniques and tools necessary for engineering applications. | |
| 6) | Design and conduct experiments, collect data, and analyse and interpret results. | |
| 7) | Work effectively both as an individual and as a multi-disciplinary team member. | |
| 8) | Access information via conducting literature research, using databases and other resources | |
| 9) | Follow the developments in science and technology and constantly update themself with an awareness of the necessity of lifelong learning. | |
| 10) | Use information and communication technologies together with computer software with at least the European Computer License Advanced Level required by their field. | |
| 11) | Communicate effectively, both verbal and written; know a foreign language at least at the European Language Portfolio B1 General Level. | |
| 12) | Have an awareness of the universal and social impacts of engineering solutions and applications; know about entrepreneurship and innovation; and have an awareness of the problems of the age. | |
| 13) | Have a sense of professional and ethical responsibility. | |
| 14) | Have an awareness of project management, workplace practices, employee health, environment and work safety; know the legal consequences of engineering practices. |