Image Editing (5 ECTS)
Code: XX00EN75-3003
General information
- Enrollment
- 16.01.2023 - 19.03.2023
- Registration for the implementation has ended.
- Timing
- 16.05.2023 - 30.05.2023
- Implementation has ended.
- Number of ECTS credits allocated
- 5 ECTS
- Virtual portion
- 2 ECTS
- Mode of delivery
- On-campus and online
- Campus
- Hämeentie 135 D
- Teaching languages
- Finnish
- Seats
- 15 - 20
Implementation has 10 reservations. Total duration of reservations is 70 h 0 min.
| Time | Topic | Location |
|---|---|---|
|
Fri 19.05.2023 time 09:00 - 16:00 (7 h 0 min) |
Kuvankäsittelyohjelmistot XX00EN75-3003 |
AR406
Digitila Scher
|
|
Mon 22.05.2023 time 09:00 - 16:00 (7 h 0 min) |
Kuvankäsittelyohjelmistot XX00EN75-3003 |
AR406
Digitila Scher
|
|
Tue 23.05.2023 time 09:00 - 16:00 (7 h 0 min) |
Kuvankäsittelyohjelmistot XX00EN75-3003 |
AR406
Digitila Scher
|
|
Wed 24.05.2023 time 09:00 - 16:00 (7 h 0 min) |
Kuvankäsittelyohjelmistot XX00EN75-3003 |
AR406
Digitila Scher
|
|
Thu 25.05.2023 time 09:00 - 16:00 (7 h 0 min) |
Kuvankäsittelyohjelmistot XX00EN75-3003 |
AR406
Digitila Scher
|
|
Fri 26.05.2023 time 09:00 - 16:00 (7 h 0 min) |
Kuvankäsittelyohjelmistot XX00EN75-3003 |
AR406
Digitila Scher
|
|
Mon 29.05.2023 time 09:00 - 16:00 (7 h 0 min) |
Kuvankäsittelyohjelmistot XX00EN75-3003 |
AR406
Digitila Scher
|
|
Tue 30.05.2023 time 09:00 - 16:00 (7 h 0 min) |
Kuvankäsittelyohjelmistot XX00EN75-3003 |
AR406
Digitila Scher
|
|
Wed 31.05.2023 time 09:00 - 16:00 (7 h 0 min) |
Kuvankäsittelyohjelmistot XX00EN75-3003 |
AR406
Digitila Scher
|
|
Thu 01.06.2023 time 09:00 - 16:00 (7 h 0 min) |
Kuvankäsittelyohjelmistot XX00EN75-3003 |
AR406
Digitila Scher
|
Learning outcomes
Students can shoot in RAW format and edit images. They are familiar with various image editing techniques and know how to use them in their work. Students can optimize images for a variety of publishing environments.
Content
- Fundamentals of image editing and optimization of images for different terminals and applications.
Evaluation scale
0-5
Assessment criteria, satisfactory (1)
The student is familiar with different image processing methods. The student is familiar with the possibilities of optimizing images for different uses.
Assessment criteria, good (3)
The student masters different image processing methods. The student understands and is able to optimize images for different uses.
Assessment criteria, excellent (5)
The student has an excellent command of different image processing methods. The student masters and is able to optimize images for different uses.
Assessment criteria, approved/failed
The student is familiar with different image processing methods. The student is familiar with the possibilities of optimizing images for different uses.