IN2070 – Digital Image Processing
Course description
Schedule, syllabus and examination date
Course content
Learning outcome
After taking this topic, you'll have:
- knowledge of concepts, methods and areas of application for digital image processing.
- experience with how reviewed theory can be used to solve specific problems or tasks.
- a solid background for further studies in image analysis and pattern recognition/machine learning
Admission to the course
Special admission requirements
In addition to fulfilling the Higher Education Entrance Qualification, applicants have to meet the following special admission requirements:
- Mathematics R1 or Mathematics (S1+S2)
The special admission requirements may also be covered by equivalent studies from Norwegian upper secondary school or by other equivalent studies. Read more about special admission requirements (in Norwegian).
Formal prerequisite knowledge
Recommended previous knowledge
Overlapping courses
- 10 credits overlap with INF2310 – Digital bildebehandling (continued).
- 9 credits overlap with INF160.
- 7 credits overlap with IN3370 – Digital image processing and analysis.
- 5 credits overlap with IN106.
Teaching
It will be 2 hours of lectures and 2 horus of exercises per week.
The course has mandatory assignments that must be approved prior to the exam. Read more about requirements for submission of assignments, group work and legal cooperation under guidelines for mandatory assignments.
Examination
Final 4 hours long digital exam.
All mandatory assignments must be approved prior to the exam.
It will also be counted as one of your three attempts to sit the exam for this course, if you sit the exam for one of the following courses: IN3370 – Digital image processing and analysis, INF2310 – Digital bildebehandling (continued), INF160
Examination support material
Language of examination
Grading scale
Resit an examination
Students who can document a valid reason for absence from the regular examination are offered a postponed examination at the beginning of the next semester.
Re-scheduled examinations are not offered to students who withdraw during, or did not pass the original examination.
More about examinations at UiO
- Use of sources and citations
- How to use AI as a student
- Special exam arrangements due to individual needs
- Withdrawal from an exam
- Illness at exams / postponed exams
- Explanation of grades and appeals
- Resitting an exam
- Cheating/attempted cheating
You will find further guides and resources at the web page on examinations at UiO.