A graduate-level look at how the major clinical imaging modalities — MRI, CT, ultrasound, and nuclear medicine (PET/SPECT), plus newer ones like magnetic particle imaging — actually form an image from physics through reconstruction, framed entirely in signals-and-systems language. You'll work through homeworks on the math behind each modality (Fourier slice, k-space, beamforming, attenuation models), run a handful of labs, and sit a midterm and final. It's where the signals/Fourier background from undergrad EE meets a real application domain, and it's the natural entry point for anyone heading into the imaging, reconstruction, or medical-device research that Bilkent's UMRAM ecosystem is built around.
→ STARS müfredatı (resmi syllabus)
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 | |
|---|---|---|
| 2024-2025 Fall | 3.27 | 1 sec · 10 öğr |
| 2022-2023 Fall | 3.80 | 1 sec · 3 öğr |
| 2021-2022 Fall | 3.38 | 1 sec · 8 öğr |
| 2020-2021 Fall | 3.55 | 1 sec · 6 öğr |
| 2019-2020 Fall | 3.54 | 1 sec · 5 öğr |
| 2018-2019 Fall | 2.77 | 1 sec · 4 öğr |
| 2017-2018 Fall | 3.68 | 1 sec · 8 öğr |
| 2015-2016 Spring | 3.46 | 1 sec · 9 öğr |
| 2014-2015 Spring | 3.64 | 1 sec · 23 öğr |
| 2012-2013 Spring | 3.72 | 1 sec · 6 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.
Each student must work on and turn in all HW assignments and project-related submissions.