Workload:
90 h
|
Module Number INF3153 |
Module Title Graphics, Computer Vision, and Machine Learning |
Type of Module Elective Compulsory |
|---|---|---|
| ECTS | 3 | |
|
Work load - Contact time - Self study |
Workload:
90 h Class time:
30 h / 2 SWS Self study:
60 h |
|
| Duration | 1 Semester | |
| Frequency | Irregular | |
| Language of instruction | English | |
| Type of Exam | To be announced. |
|
| Lecture type(s) | Proseminar | |
| Content | Special topics in computer graphics, computer vision, and learning techniques in these areas, e.g. computational photography, rendering algorithms, rendering hardware and interactive systems. |
|
| Objectives | Students have become familiar with special topics in the field of computer graphics/computer vision and are able to develop a topic based on given and self-researched literature, present and discuss it in front of the group and present the essentials in an understandable and correct way in a written elaboration. |
|
| Allocation of credits / grading |
Type of Class
Status
SWS
Credits
Type of Exam
Exam duration
Evaluation
Calculation
of Module (%) |
|
| Prerequisite for participation | MEINFM3142 Computer Graphics | |
| Lecturer / Other | Lensch, Pons-Moll, Schilling | |
| Literature | Hängen von den aktuellen Themen ab und werden zur Verfügung gestellt |
|
| Last offered | Wintersemester 2022 | |
| Planned for | Sommersemester 2024 | |
| Assigned Study Areas | INFM1510, MEINFM1510 | |