Image Editing (5 ECTS)
Code: XX00EN75-3004
General information
- Enrollment
- 22.04.2024 - 17.05.2024
- Registration for the implementation has ended.
- Timing
- 27.05.2024 - 07.06.2024
- Implementation has ended.
- Number of ECTS credits allocated
- 5 ECTS
- Mode of delivery
- On-campus
- Campus
- Hämeentie 135 D
- Teaching languages
- Finnish
- Seats
- 15 - 20
- Degree programmes
- Design
Implementation has 10 reservations. Total duration of reservations is 70 h 0 min.
| Time | Topic | Location |
|---|---|---|
|
Mon 27.05.2024 time 09:00 - 16:00 (7 h 0 min) |
Kuvankäsittelyohjelmistot XX00EN75-3004 |
AR436
Digitila Kaarto
|
|
Tue 28.05.2024 time 09:00 - 16:00 (7 h 0 min) |
Kuvankäsittelyohjelmistot XX00EN75-3004 |
AR436
Digitila Kaarto
|
|
Wed 29.05.2024 time 09:00 - 16:00 (7 h 0 min) |
Kuvankäsittelyohjelmistot XX00EN75-3004 |
AR436
Digitila Kaarto
|
|
Thu 30.05.2024 time 09:00 - 16:00 (7 h 0 min) |
Kuvankäsittelyohjelmistot XX00EN75-3004 |
AR436
Digitila Kaarto
|
|
Fri 31.05.2024 time 09:00 - 16:00 (7 h 0 min) |
Kuvankäsittelyohjelmistot XX00EN75-3004 |
AR436
Digitila Kaarto
|
|
Mon 03.06.2024 time 09:00 - 16:00 (7 h 0 min) |
Kuvankäsittelyohjelmistot XX00EN75-3004 |
AR436
Digitila Kaarto
|
|
Tue 04.06.2024 time 09:00 - 16:00 (7 h 0 min) |
Kuvankäsittelyohjelmistot XX00EN75-3004 |
AR436
Digitila Kaarto
|
|
Wed 05.06.2024 time 09:00 - 16:00 (7 h 0 min) |
Kuvankäsittelyohjelmistot XX00EN75-3004 |
AR436
Digitila Kaarto
|
|
Thu 06.06.2024 time 09:00 - 16:00 (7 h 0 min) |
Kuvankäsittelyohjelmistot XX00EN75-3004 |
AR436
Digitila Kaarto
|
|
Fri 07.06.2024 time 09:00 - 16:00 (7 h 0 min) |
Kuvankäsittelyohjelmistot XX00EN75-3004 |
AR436
Digitila Kaarto
|
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.