BAHÇEŞEHİR UNIVERSITY BİLGİ PAKETİ / DERS KATALOĞU
| ARTIFICIAL INTELLIGENCE ENGINEERING | |||||
| Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 | ||
Course Introduction and Application Information
| Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
| GEP1605 | Popular Culture | Fall | 3 | 0 | 3 | 5 |
| This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester. |
Basic information
| Language of instruction: | Turkish |
| Type of course: | GE-Elective |
| Course Level: | Bachelor’s Degree (First Cycle) |
| Mode of Delivery: | Face to face |
| Course Coordinator : | Assist. Prof. BURCU ALARSLAN ULUDAŞ |
| Recommended Optional Program Components: | none |
| Course Objectives: |
Learning Outcomes
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The students who have succeeded in this course; |
Course Content
Weekly Detailed Course Contents
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| 15) | Final Exam | |
| 16) | Final Exam |
Sources
| Course Notes / Textbooks: | John Berger - Görme Biçimleri kitabından 5. bölüm Walter Benjamin – Sanat Eserinin Teknik Olanaklarla Yeniden Üretilmesi makalesi Ahu Antmen –Kimlikli Bedenler kitabından Çağdaş Sanat Öncülerinin Kimlikleri Neden Pembe? makalesi Roland Barthes – Mitolojiler kitabından 5. bölüm (Türkçe çeviri sağlanacaktır) Can Kozanoğlu – Pop Çağı Ateşi Çizgi roman ve manga örnekleri |
| References: | Film & dizi Grease Back to the Future Matrix Spider Man Rambo Breakfast at Tiffany’s Sex & the City |
Evaluation System
| Semester Requirements | Number of Activities | Level of Contribution |
| Attendance | 1 | % 10 |
| Midterms | 1 | % 40 |
| Final | 1 | % 50 |
| Total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 50 | |
| PERCENTAGE OF FINAL WORK | % 50 | |
| Total | % 100 | |
ECTS / Workload Table
| Activities | Number of Activities | Duration (Hours) | Workload |
| Course Hours | 14 | 3 | 42 |
| Study Hours Out of Class | 9 | 4 | 36 |
| Midterms | 1 | 3 | 3 |
| Final | 1 | 10 | 10 |
| Total Workload | 91 | ||
Contribution of Learning Outcomes to Programme Outcomes
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | Build up a body of knowledge in mathematics, science and Artificial Intelligence Engineering subjects; use theoretical and applied information in these areas to model and solve complex engineering problems. | |
| 2) | Design complex Artificial Intelligence systems, platforms, processes, devices or products under realistic constraints and conditions, in such a way as to meet the desired result; apply modern design methods for this purpose. | |
| 3) | Identify, formulate, and solve complex Artificial Intelligence Engineering problems; select and apply proper modeling and analysis methods for this purpose. | |
| 4) | Devise, select, and use modern techniques and tools needed for solving complex problems in Artificial Intelligence Engineering practice; employ information technologies effectively. | |
| 5) | Design and conduct numerical or physical experiments, collect data, analyze and interpret results for investigating the complex problems specific to Artificial Intelligence Engineering. | |
| 6) | Ability to communicate effectively in English and Turkish (if he/she is a Turkish citizen), both orally and in writing. Write and understand reports, prepare design and production reports, deliver effective presentations, give and receive clear and understandable instructions. | |
| 7) | Recognize the need for life-long learning; show ability to access information, to follow developments in science and technology, and to continuously educate oneself. | |
| 8) | Develop an awareness of professional and ethical responsibility, and behave accordingly. Be informed about the standards used in Artificial Intelligence Engineering applications. | 4 |
| 9) | Learn about business life practices such as project management, risk management, and change management; develop an awareness of entrepreneurship, innovation, and sustainable development. | 3 |
| 10) | Acquire knowledge about the effects of practices of Artificial Intelligence Engineering on health, environment, security in universal and social scope, and the contemporary problems of Artificial Intelligence Engineering; is aware of the legal consequences of Mechatronics engineering solutions. | 4 |
| 11) | Cooperate efficiently in intra-disciplinary and multi-disciplinary teams; and show self-reliance when working on Artificial Intelligence-related problems. | 4 |