NEVR3004 - Nevrale nettverk

Om emnet

Vurderingsordning

Vurderingsordning: Mappevurdering og muntlig eksamen
Karakter: Bokstavkarakterer

Vurderingsform Vekting Varighet Hjelpemidler Delkarakter
Muntlig eksamen 10/100 15 minutter C
Mappevurdering 90/100 ALLE

Faglig innhold

Neural data analysis and network models of brain functions are the primary focus of this course. We will review current computational models and how these models continue to develop together with experiments to further our understanding of the brain. To this end, each topic in the course will be accompanied by a project to test model predictions with actual neural data (the data will be provided to the students).

In addition to the topic projects, the course involves writing an essay based on one of the projects, written in the style of a research article and should include the student's own results.

Both the project results and essay are due at the end of the course. The essay will be evaluated as pass/fail while the grade for the course will be determined from the project results and demonstration.

Læringsutbytte

After completing and passing the course NEVR3004 the student 1) has an understanding of current neural network models; 2) can read and critically appraise publications dealing with modeling and analysis of neural network properties; 3) can complete basic data analysis to test predictions from neural network models; 4) can search and compare relevant sources of information to acquire literacy in basic neuroscience; 5) can critically appraise sources of information and contents of scientific publications and choose relevant information; 6) can report outcomes of research in a coherent written report that meets requirements of a scholarly publication.

Læringsformer og aktiviteter

The course is taught in the second half of the spring semester. The language of teaching and evaluation is English. This course has restricted admission. Students admitted to the MSc in Neuroscience are guaranteed a seat. Other students must apply for a seat by the given deadlines.

The course will consist of 5 projects, depending on the extent of the individual projects. Each project will be supported by a series of lectures on the relevant theoretical concepts surrounding the problem, while some class meetings will be reserved for interactive discussions about the projects and individual student progress. In addition to the class meetings, a teacher’s assistant will be available for 30 hours during the semester, with scheduling to be determined together with the students. Students will be free to program in the language of their choice, though the teachers assistant will generally expect programming questions in Matlab.

In addition to the topic projects, an essay on one of the projects (of the students choosing) must be handed in through it's learning. Further information on the projects and requirements will be given at the onset of the course.

Obligatoriske aktiviteter

  • Essay

Mer om vurdering

In the resit exam there will be given 5 new assignments as well as an oral exam to adjust the grade.

Spesielle vilkår

Begrenset opptak til undervisning. For nærmere opplysninger: http://www.ntnu.no/studier/opptak/emneopptak

Vurderingsmelding krever godkjent undervisningsmelding samme semester. Obligatorisk aktivitet fra tidligere semester kan godkjennes av instituttet.

Kursmateriell

To be announced.

Studiepoengreduksjon

Emnekode Reduksjon Fra Til
NEVR3030 7.5
NEVR8010 4.0 01.09.2007 31.08.2011

Eksamensinfo

Vurderingsordning: Mappevurdering og muntlig eksamen

Termin Statuskode Vurderingsform Vekting Hjelpemidler Dato Tid Rom *
Høst UTS Muntlig eksamen 10/100 C 07.12.2017 09:00
Høst UTS Mappevurdering 90/100 ALLE
Vår ORD Muntlig eksamen 10/100 C
Vår ORD Mappevurdering 90/100 ALLE
  • * Skriftlig eksamen plasseres på rom 3 dager før eksamensdato.
Hvis mer enn ett rom er oppgitt, finner du ditt rom på Studentweb.