Schedule, syllabus and examination date

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Changes in the course due to coronavirus

Autumn 2020 we plan for teaching and examinations to be conducted as described in the course description and on semester pages. However, changes may occur due to the corona situation. You will receive notifications about any changes at the semester page and/or in Canvas.

Spring 2020: Teaching and examinations was digitilized. See changes and common guidelines for exams at the MN faculty spring 2020.

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.

Prerequisites in analog/mixed-signal CMOS construction, analog microelectronics, digital imaging and linear circuit electronics are recommended.

Overlapping courses

Teaching

2 hours of lectures per week, plus mandatory 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.

Special examination arrangements, use of sources, explanations and appeals

See more about examinations at UiO

Last updated from FS (Common Student System) Sep. 18, 2020 10:15:50 AM

Facts about this course

Credits
10
Level
PhD
Teaching
Autumn
Examination
Autumn
Teaching language
English