FDD3007 Computational Modeling in Current Neuroscience 3.0 credits

Beräkningsbaserad modellering inom aktuell neurovetenskap

Offering and execution

Course offering missing for current semester as well as for previous and coming semesters

Course information

Content and learning outcomes

Course contents *

The course illuminates the role of modeling and simulation in neuroscience from a number of perspectives. Current scientific articles are reviewed by the participants and the role of the model, how it is used, how it is developed, etc is considered. The students present and discuss the articles from a number of perspectives that highlights the role of the model in neuroscience. The questions concern the objective of the model in terms of knowledge, the quality of the modeling work, the scientific contribution of the model etc.

Intended learning outcomes *

No information inserted

Course Disposition

No information inserted

Literature and preparations

Specific prerequisites *

No information inserted

Recommended prerequisites

Neuroscience or cognitive neuroscience of a minimum of 7,5 credits or equivalent.

Equipment

No information inserted

Literature

No information inserted

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.

    Other requirements for final grade *

    Oral presentation of research articles and active participation in seminars.

    Opportunity to complete the requirements via supplementary examination

    No information inserted

    Opportunity to raise an approved grade via renewed examination

    No information inserted

    Examiner

    Örjan Ekeberg

    Erik Fransén

    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 web

    No information inserted

    Offered by

    EECS/Computational Science and Technology

    Main field of study *

    No information inserted

    Education cycle *

    Third cycle

    Add-on studies

    No information inserted

    Contact

    Ö. Ekeberg, e-post: ekeberg@csc.kth.se och E. Fransén, e-post: erikf@csc.kth.se

    Postgraduate course

    Postgraduate courses at EECS/Computational Science and Technology