Visual Cognition, 7.5 Credits

Contents

The course treats vision as information processing with a focus on computational challenges in artificial and biological visual systems. Particularly emphasis it put on the underspecified nature of several visual problems are treated as well as how artificial and biological systems attempt to solve those problems. The course treats basic image capturing methods, perceptual organization, depth and categorization. Furthermore, the course deals with visual perceptual learning, attention and gaze control.

Expected learning outcomes

Knowledge and understanding
After the course, the student should:

* have knowledge about the human ability to perceive recognize, remember and imagine objects and scenes
* have knowledge about different theories on perception and an understanding for applications of these theories on artificial systems
* Knowledge about machine vision techniques to capture, analyze and use visual information

Skills and ability
After the course, the student should:

* have the ability to apply and integrate this knowledge in a project.
* have the ability to communicate the project results in written and oral presentation

Evaluation ability and approach
After the course, the student should:

* have a deeper understanding for cognitive science methods
* have an improved ability in evaluating scientific studies on visual cognition

Required Knowledge

90 hp in the subject area of cognitive science or equivalent. These 90 hp should include the following courses: Logic and Formal Methods, 7.5 hp, Applied Cognitive Psychology, 7.5 hp, Programming in Python, 7.5 hp and Data Structures and Algorithms (Python), 7.5 hp, or equivalent.

Proficiency in English equivalent to Swedish upper Secondary course English A/6.

Where the language of instruction is Swedish, applicants must prove proficiency in Swedish to the level required for basic eligibility for higher studies.

Form of instruction

Teaching is carried out via lectures, seminars and demonstrations as well as through supervision in programming
assignments and during the project. The teaching is campus based but can include online teaching.

The right to receive teaching and supervision applies only during the time the course, for which the student is registered to, is ongoing.

Examination modes

The examination includes written examination, programming assignment, including individual written lab report and oral and written presentations of a project report at a seminar. Oral examination may be in digital format.

Presence of examining elements are indicated in the schedule. All existing teaching within the course can be examined. Decisions on any deviations from the current form of assessment will be made by the relevant examiner.

A grade for the course / each part of the course will be assigned when the written test / tests and all mandatory elements are approved. The possible grades are 'Pass with distinction',' Pass' or 'Fail'.   Students are entitled to rewrite the same examination five times (at least twice in the case of practice or clinical teaching or equivalent). Students who do not pass the regular examination should be provided an opportunity for further examination according to the University's "Regulations for tests and examinations at the undergraduate and graduate levels." A student who has failed two tests for a course or a part of a course, is entitled to have another examiner appointed, unless there are specific reasons against it (HF 6 Chap. 22 §). Requests for new examiners are made to the head of the department of Psychology. Students have the right to be tested on the same curriculum as the regular examination at least two occasions up to two years after the first registration.

Transfer of credits
Academic credit transfers are according to the University credit transfer regulations.