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1.ANADAL : MATEMATİK
MÜHENDİSLİĞİ |
2023-2024 Eğitim Öğretim Yılından İtibaren ÇAP'a Başlayan Öğrenciler İçin Uygulanan ÇAP Programı
| DERS KODU | DERS ADI | Z/S | Kredi | Ders | Lab |
| YZV 104E | Int.toPrg.forDataSci.(Python) | Z | 4 | 3 | 2 |
| YZV 201E | Data Structures | Z | 3,5 | 3 | 1 |
| YZV 211E | Intro to Data Science and Eng. | Z | 3 | 3 | 0 |
| BLG 311E | Formal Languages and Automata | Z | 3 | 3 | 0 |
| BLG 454E | Learning From Data | Z | 3 | 3 | 0 |
| BLG 252E | Object Oriented Programming | Z | 3 | 3 | 0 |
| YZV 212E | Fund.ofArtificial Intelligence | Z | 3 | 3 | 0 |
| YZV 303E | Deep Learning | Z | 3 | 3 | 0 |
| BLG 317E | Database Systems | Z | 3 | 3 | 0 |
| BLG 335E | Analysis of Algorithms I | Z | 3 | 3 | 0 |
| YZV 311E | Data Mining | Z | 3 | 3 | 0 |
| YZV 401E | Legal Aspects of AI&Data Eng. | Z | 2 | 2 | 0 |
| YZV 322E | Applied Data Engineering | Z | 2 | 0 | 4 |
| BLG 336E | Analysis of Algorithms II | Z | 3 | 3 | 0 |
| YZV 405E | Natural Language Processing | Z | 3 | 3 | 0 |
| YZV 416E | Computer Vision | Z | 3 | 3 | 0 |
| YZV 411E | Big Data Analytics | Z | 3 | 3 | 0 |
| YZV 4901E | AI &Data Engineering Design I | Z | 3 | 1 | 4 |
| YZV 406E | Robotics | Z | 3 | 3 | 0 |
| YZV 4902E | AI& Data Engineering Design II | Z | 5 | 1 | 8 |
| MT Elective II | S | 3 | 3 | 0 | |
| TOPLAM KREDİ | 64,5 | ||||