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Vår 2022

INF-3780 Computer Science Clinic - Physical and Virtual Environments - 10 stp


The course is administrated by

Institutt for informatikk

Type of course

The course can be taken as a singular master's-level course.

Course contents

The term «clinic» is used to indicate that the course represents a transition from learning in an academic context and the practical experiences provided through working processes in the health industry or health technology related research laboratories. Students work in teams of 3-5 members, applying their creativity, knowledge and skills in solving specific development projects. Each group is advised by a teaching assistant, a computer science faculty member, and a liaison in cases where the project arises from an external collaborative sponsor.

Projects may be proposed by computer science faculty members, by department research faculty working on relevant projects, or by external collaborative organizations.

Successfully concluded projects will deliver well-functioning code in addition to written presentations of the project task, proposed solution, project notes, in a concluding report.

Project themes may be defined within a broad spectrum of computer science of health technology solutions. The term «physical and virtual environments» reflects an ambition that some projects should address the use of a wide selection of input/output channels, including sensors, actuators, displays, tactile and audio feedback, etc.


Application deadline

Applicants from countries within EU/EEA: June 1st for the autumn semester and December 1st for the spring semester. Exchange students and Fulbright students: 1 October for the spring semester and 15 April for the autumn semester.

Admission requirements

Higher Education Entrance Requirement + Bachelor's degree in Computer Science or similar education. The Bachelor degree must contain a specialization in Computer Science worth the equivalent of not less than 80 ECTS credits. Application code: 9371 - Singular courses at master's level.

Objective of the course

Knowledge - The student

Skills - The student

Competence - The student


Language of instruction

The course is taught in English, course material will be in English, as will reports, presentations and discussions.

Teaching methods

Most teaching will be in the form of group-specific supervision by teaching assistant, faculty member and potentially a liaison. Lectures: 10 hours, Laboratory: 60 hours. The course is given every spring semester.

Assessment

The examination is a portfolio of the elements produced in a semester-long practical group project. This will consist of

An overall grade will be given of the three components and all students in the same group will get the same grade.

Coursework: The work will be done in groups, where the amount of work shall be equally distributed. The type and amount of the work done of each student shall be documented in three individual assignments, in the form of mini-reports, during the course. A fourth assignment will be a popular scientific dissemination of the project, in form of a video, social media post, abstract, or similar.

Grading scale: Pass / Fail.

Re-sit examination:  A re-sit examination will not be given in this course.

Postponed examination: Students with valid grounds for absence will be offered a postponed examination for the module in question. If practically possible the examination is arranged during the semester as soon as the reasons for absence have ceased.


Date for examination

Portfolio hand in date 14.06.2022

The date for the exam can be changed. The final date will be announced at your faculty early in May and early in November.