Curriculum
Artificial Intelligence Engineering M.S (English)
MScArtificial Intelligence Engineering
Year 1 · Fall
Schedule →| Course | Lec. | Lab | Cr. | ECTS | Prerequisites |
|---|---|---|---|---|---|
| AIEY1116861MS Seminar | 0 | 0 | 0 | 4 | — |
| AIEY1169490Scientific Research Techniques and Publication Ethics | 3 | 0 | 3 | 8 | — |
| AIEY1113987Principles of Artificial IntelligenceELECTIVE | 3 | 0 | 3 | 8 | — |
| AIEY1112936Computer VisionELECTIVE | 3 | 0 | 3 | 8 | — |
| AIEY1113163Machine LearningELECTIVE | 3 | 0 | 3 | 8 | — |
| TOTAL | 3 | 12 | |||
3 ELECTIVES ON OFFER · 24 ECTS
Year 1 · Spring
Schedule →| Course | Lec. | Lab | Cr. | ECTS | Prerequisites |
|---|---|---|---|---|---|
| AIEY1216248Big Data AnalyticsELECTIVE | 3 | 0 | 3 | 8 | — |
| AIEY1216249Business Intelligence and AnalyticsELECTIVE | 3 | 0 | 3 | 8 | — |
| AIEY1216251Reinforcement LearningELECTIVE | 3 | 0 | 3 | 8 | — |
| AIEY1216859Optimization and Artificial IntelligenceELECTIVE | 3 | 0 | 3 | 8 | — |
| TOTAL | 0 | 0 | |||
4 ELECTIVES ON OFFER · 32 ECTS
Year 2 · Fall
Schedule →| Course | Lec. | Lab | Cr. | ECTS | Prerequisites |
|---|---|---|---|---|---|
| AIEY2116862Thesis | 0 | 0 | 0 | 60 | — |
| TOTAL | 0 | 60 | |||
Year 2 · Spring
Schedule →| Course | Lec. | Lab | Cr. | ECTS | Prerequisites |
|---|---|---|---|---|---|
| AIEY2216862Thesis | 0 | 0 | 0 | 60 | — |
| TOTAL | 0 | 60 | |||
NUMBERS
Student Success Status (%)
| < 2,27 | 2,27 - 2,47 | 2,48 - 2,69 | 2,70 - 2,90 | 2,91 - 3,12 | 3,13 - 3,33 | 3,34 - 3,54 | 3,55 - 3,76 | 3,77 - 4 | |
|---|---|---|---|---|---|---|---|---|---|
| 2024 - 2025 | 0 | 0 | 50 | 0 | 0 | 0 | 0 | 0 | 0 |
Student Number By The Year
| 2021 - 2022 | 2022 - 2023 | 2023 - 2024 | 2024 - 2025 | 2025 - 2026 | |
|---|---|---|---|---|---|
| Student Count | 0 | 0 | 0 | 0 | 2 |
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