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The curriculum is developed by negotiation with the participating students each year, depending on their particular needs

Course structure and contentThe course develops colour science concepts at PhD level, expressly as a means for PhD candidates to acquire solid foundation in the topic for future research. The course is delivered by Professor Phil Green, who has a strong record of publication and engagement in research, development and standardisation activities in the topics covered on the course. The course is available to all PhD students with an initial background in colour science and computer science. Learning outcomesStudents demonstrated having met the learning outcomes of the course through a coursework project, which is submitted in written form and as an oral presentation. Learning outcomes cover the spread of topics taught on the course but students focus on a specific sub-topic for the coursework project which enables them to develop work at a level that can be published in an international conference or journal, and which can form an element of their PhD thesis. Teaching methodsThe curriculum is developed by negotiation with the participating students depending on their particular needs, and for efficiency use is made of an archive of lectures and recordings developed by the course responsible which are made available through Blackboard. Supervision meetings are held as needed during the planning and execution of the coursework project. AssessmentThe written coursework and oral presentation were assessed by the course responsible and external examiner Dr Peter Rhodes of Leeds university. The student was awarded a pass grade, with extensive feedback from the examiners which could be used in developing a future publication. The student covered a wide range of relevant colour science topics in the project, leading to acquisition of a wide range of practical and theoretical skills. Student feedbackFeedback was obtained from the student throughout the course in informal sessions. In 2023 Fall semester feedback was generally positive, with a useful suggestion to make lecture materials available prior to the start of the course.

Possibly students could be encouraged to work on a narrower project in future to enable them to make a stronger contribution to knowledge in one particular area.

NTNU:TIA:REST

Institutt for datateknologi og informatikk

Department of Computer Science

Ingen hjelpemidler tillatt.

Engelsk

Mer om vurdering

Anbefalte forkunnskaper

Faglig innhold

Kursmateriell

Læringsutbytte

Læringsformer og aktiviteter

Colour Science

Informatikk

Datateknologi og informatikk - doktorgrad (ph.d.)

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Colour Science - IT8803