A graduate-level deep dive into how neural networks actually learn — starting from a single neuron's math and building up through backprop, recurrence, and attention to the architectures behind modern vision, language, and generative models. The bulk of the work happens in four projects where you implement and train these systems yourself, backed by quizzes that check whether you really understand the optimization and generalization theory underneath. It assumes you are comfortable with linear algebra, probability, and optimization, and serves as the foundation most EEE students need before tackling research in computer vision, NLP, or any ML-adjacent thesis work.
→ STARS müfredatı (resmi syllabus)
Generative AI tools (e.g., large language models, coding assistants, and image-generation tools) may be used for take-home assessments (i.e., tutorial/homework and project assignments) to assist with coding, and improving writing. Any use of generative AI must be clearly disclosed, including the name/version of the tool and a brief description of how it was used. Upon request, students should be ready to provide prompts, outputs, and execution logs pertaining to their genAI use for all assignmen
İlk dosyayı sen atarsan — not, slayt, geçmiş sınav, çözüm, cheat-sheet, ne varsa — defter ekibi öğrenci paylaşımlarından bu dersin notlarını yazar. Drive linki / PDF / ZIP, hepsi olur.
| Dönem | Course CPA | |
|---|---|---|
| 2025-2026 Fall | 3.68 | 1 sec · 17 öğr |
| 2024-2025 Fall | 3.59 | 1 sec · 18 öğr |
| 2024-2025 Spring | 3.34 | 1 sec · 20 öğr |
| 2023-2024 Fall | 3.37 | 1 sec · 23 öğr |
| 2022-2023 Fall | 3.68 | 1 sec · 18 öğr |
| 2022-2023 Spring | 3.58 | 1 sec · 12 öğr |
| 2021-2022 Fall | 3.41 | 1 sec · 9 öğr |
| 2021-2022 Spring | 3.60 | 1 sec · 14 öğr |
| 2020-2021 Fall | 3.40 | 1 sec · 14 öğr |
| 2019-2020 Fall | 3.38 | 1 sec · 15 öğr |
Aggregate course GPA — Bilkent STARS'tan public data. Hoca-bazlı per-section detayı için STARS evaluation report →. Öğrenci anket cevapları KVKK kapsamında defter'de tutulmaz.
All in-class and take-home assignments should be completed and submitted. Grades, except the final exam, should justify a letter grade of D or better. (Note that meeting this criterion does not guarantee that you will eventually pass the course. Your letter grade still depends on your overall performance including the final.)