Topics in Computer Vision I,II,III
Examiner: Danica Kragic
The three courses
- Topics in Computer Vision I (DD3337), 3 credits
- Topics in Computer Vision II (DD3338), 6 credits
- Topics in Computer Vision III (DD3339), 9 credits
are each composed of a subset of the modules listed in the table below. Thus, when you have taken modules corresponding to 9 credits, these can be reported as DD3355. Then if you take one more 3 credit module that can be reported as DD3353 and so on. Note that you can only take a course once, so 12 credits must be reported as (DD3339 + DD3337) and not as (DD3338 + DD3338). Therefore, it might be wise to wait with reporting completed modules until you can report then as DD3339, or you know how many you will take. The results are kept track of in this Canvas page.
Note: If you are a non-RPL student interesting in taking a course-module you should contact the responsible listed below.
| Module | Who | Size | Last offered | Planned next |
| (add new module here) | ||||
| GPU programming (link) | Mårten | 3hp | Period 4, 2023/24 | |
| Bayesian ML theory | Hossein / Rika | 3hp | Period 3, 2019/20, January | |
| Embodied cognition (link) | Hedvig | 3hp | - | Period 4, 2019/20 |
| Biological vision (link) | Atsuto | 3hp | - | Period 1/2, 2020/21 |
| Deep learning (link) | Hossein | 6hp | Period 4, 2018/19 |