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FDD3327 Seminar Course in High Peformance Computing Visualization 3.0 credits

Information per course offering

Course offerings are missing for current or upcoming semesters.

Course syllabus as PDF

Please note: all information from the Course syllabus is available on this page in an accessible format.

Course syllabus FDD3327 (Autumn 2012–)
Headings with content from the Course syllabus FDD3327 (Autumn 2012–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

No information inserted

Intended learning outcomes

The student should learn to analyze research outside ones particular area of expertise by active participation in seminars, to communicate research to an interdisciplinary audience, and to write an interdisciplinary project plan.

Literature and preparations

Specific prerequisites

No information inserted

Literature

You can find information about course literature either in the course memo for the course offering or in the course room in Canvas.

Examination and completion

If the course is discontinued, students may request to be examined during the following two academic years.

Grading scale

P, F

Examination

    Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

    The examiner may apply another examination format when re-examining individual students.

    Examiner

    Ethical approach

    • All members of a group are responsible for the group's work.
    • In any assessment, every student shall honestly disclose any help received and sources used.
    • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

    Further information

    Course room in Canvas

    Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.

    Offered by

    Main field of study

    This course does not belong to any Main field of study.

    Education cycle

    Third cycle

    Postgraduate course

    Postgraduate courses at EECS/Computational Science and Technology