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DD2401 Neuroscience 7.5 credits

Administer About course

The course gives an introduction to the main subdisciplines of neuroscience, including neuroinformatics, with the aim to provide a general understanding of the organization and functioning of the nervous system from the single cell and the neuronal networks underlying the control and generation of behaviour to the higher brain functions.

Information per course offering

Choose semester and course offering to see current information and more about the course, such as course syllabus, study period, and application information.

Termin

Information for Spring 2026 neuro26 programme students

Course location

KTH Campus

Duration
16 Mar 2026 - 1 Jun 2026
Periods

Spring 2026: P4 (7.5 hp)

Pace of study

50%

Application code

61428

Form of study

Normal Daytime

Language of instruction

English

Course memo
Course memo is not published
Number of places

Min: 15

Target group
Open to all students from year 3 and students admitted to a master's programme as long as it can be included in your programme.
Planned modular schedule
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Schedule
Schedule is not published

Contact

Examiner
No information inserted
Course coordinator
No information inserted
Teachers
No information inserted

Course syllabus as PDF

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

Course syllabus DD2401 (Autumn 2021–)
Headings with content from the Course syllabus DD2401 (Autumn 2021–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

The function of the single nerve cell at the molecular and cellular level; the organization of the nervous system and its neuronal networks; neural control of simple and more complex functions; the most common neuroinformatics approaches.

The course comprises lectures and practical exercises.

Intended learning outcomes

Following the course the student should be able to:

  • describe the micro- and macrostructure of the nervous system
  • describe the whole chain of structures and their functions, from single ion channels in the cell membranes to sensory, motor and cognitive functions
  • summate the scientific bases for how to achieve knowledge about the different parts of the nervous system
  • evaluate and describe the content in scientific articles within the fields of neuroscience and neuroinformatics.

Literature and preparations

Specific prerequisites

Single course students: 90 university credits including 45 university credits in Mathematics or Information Technology. English B, or equivalent.

If there are too few applicants the course can be cancelled.

Recommended prerequisites

Mandatory courses for B, D, E, F, K, M, Me, P or T at KTH, or equivalent.

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

Grading scale

A, B, C, D, E, FX, F

Examination

  • TEN2 - Examination, 7.5 credits, grading scale: A, B, C, D, E, FX, F

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.

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

Other requirements for final grade

Taking part in the practical exercises gives bonus points.

Examiner

Profile picture Jeanette Hällgren Kotaleski

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

EECS/Intelligent Systems

Main field of study

Biotechnology, Electrical Engineering

Education cycle

Second cycle

Supplementary information

Compulsory to be present at the course introduction.

In this course, the EECS code of honor applies, see:
http://www.kth.se/en/eecs/utbildning/hederskodex