IN9350 – CMOS Image Sensor Design
Course description
Schedule, syllabus and examination date
Course content
The course gives an introduction to CMOS image sensor chips used in digital cameras. The entire signal chain from light in to jpeg compressed image will be covered, incl. pixels and readout circuits, A/D conversion, digital image processing, and input/output interfaces.
Learning outcome
After completing this course, you?ll have:
- basic knowledge of analog and digital circuits used in cameras
- knowledge of construction and analyzation of pixels and readout circuits in CMOS
- basic knowledge of simulation and modelling of imaging sensor circuits with advanced tools such as Cadence and ADS
- understanding of how noise and signal-to-noise ratio define image quality
- basic knowledge of image processing algorithms used in cameras
- knowledge of model and analysis of signal-to-noise ratio across the signal chain
- knowledge of image processing algorithms used in cameras
- knowledge of model and analysis of?signal-to-noise ratio across the signal chain
Admission to the course
PhD candidates from the University of Oslo should apply for classes and register for examinations through?Studentweb.
If a course has limited intake capacity, priority will be given to PhD candidates who follow an individual education plan where this particular course is included. Some national researchers’ schools may have specific rules for ranking applicants for courses with limited intake capacity.
PhD candidates who have been admitted to another higher education institution must?apply for a position as a visiting student?within a given deadline.
IN5350 and IN9350?will be assessed together in regards to?the number of admissions, with?priority given to PhD candidates with IN9350 in an approved study plan.
Recommended previous knowledge
Prerequisites in analog/mixed-signal CMOS construction, analog microelectronics, digital imaging and linear circuit electronics are recommended.
Overlapping courses
- 10 credits overlap with INF9442 – Image Sensor Circuits and Systems (continued).
- 10 credits overlap with INF5442 – Image Sensor Circuits and Systems (continued).
- 10 credits overlap with IN5350 – CMOS Image Sensor Design.
- 7 credits overlap with INF5441 – CMOS billedsensor (continued).
- 5 credits overlap with INF9440 – CMOS Image sensors (continued).
- 5 credits overlap with INF5440 – CMOS Image sensors (discontinued).
Teaching
2 hours of lectures per week, followed by 1 hour with mandatory group exercises each week.
Submission and approval of mandatory assignments is required. Read more about requirements for submission of assignments, group work and legal cooperation under guidelines for mandatory assignments.
Examination
Oral or 4 hours written digital exam, dependent on the number of students.
All mandatory assignments must be approved before you can take 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:?IN5350 – CMOS Image Sensor Design, INF5442 – Image Sensor Circuits and Systems (continued), INF9442 – Image Sensor Circuits and Systems (continued), INF5441 – CMOS billedsensor (continued)
Language of examination
Subjects taught in English will only offer the exam paper in English.
You may write your examination paper in Norwegian, Swedish, Danish or English.
Grading scale
Grades are awarded on a pass/fail scale. Read more about the grading system.
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
- 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.