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Cursus: INFOMTFL
INFOMTFL
Technologies for learning
Cursus informatieRooster
CursuscodeINFOMTFL
Studiepunten (ECTS)7,5
Categorie / NiveauM (Master)
CursustypeCursorisch onderwijs
VoertaalEngels
Aangeboden doorFaculteit Betawetenschappen; Graduate School of Natural Sciences;
Contactpersoonprof. dr. J.T. Jeuring
Telefoon+31 30 2534115
E-mailJ.T.Jeuring@uu.nl
Docenten
Docent
prof. dr. J.T. Jeuring
Overige cursussen docent
Blok
1  (05-09-2016 t/m 11-11-2016)
Aanvangsblok
1
TimeslotA: MA-ochtend, DI-namiddag, WO-ochtend
Onderwijsvorm
Voltijd
Opmerkinghttp://www.cs.uu.nl/education/vak.php?vak=INFOMTFL
Cursusinschrijving geopendvanaf 30-05-2016 t/m 26-06-2016
AanmeldingsprocedureOsiris
Inschrijven via OSIRISJa
Inschrijven voor bijvakkersJa
VoorinschrijvingNee
Na-inschrijvingJa
Na-inschrijving geopendvanaf 22-08-2016 t/m 23-08-2016
WachtlijstJa
Plaatsingsprocedureadministratie onderwijsinstituut
Cursusdoelen
After completing this course, you will be able to:
  • develop technology for:
    • comparing student behavior with desirable behavior
    • modeling the knowledge of a student
    • finding out what students do in a learning environment
  • use this technology in applications for supporting learning
  • read, present, and use results from papers from the important conferences and journals in the field.
This course will prepare you to to contribute to research in this area.
Inhoud
In this course you will study advanced software technologies for learning, such as serious games in which you have to develop a sustainable city, simulations such as a virtual company that you have to run, competing against several other virtual companies, intelligent tutoring systems for learning mathematics, physics, or logic, etc. In particular, you will study the underlying intelligence necessary to determine what a student has learned, what a student should do next, give feedback to a student, etc.
In this course you will learn about the use of software technology to support student learning.
Student learning is supported by applications such as:
  • Serious games
  • Simulations
  • Intelligent Tutoring Systems
  • Exercise Environments
  • Automatic Assessment Systems
These applications use technologies such as:
  • Model tracing: does a student follow a desirable path towards a solution?
  • Static and (sometimes) dynamic analysis: what is the quality of a student solution?
  • Learning analytics: what do students do in a learning application?
  • User modeling: what does a student know?
which build upon:
  • Strategies, parsing and rewriting
  • Bayesian networks
  • Datamining
  • Constraint solving
  • Artificial Intelligence
  • Domain-specific technologies, such as compiler technology for the domain of programming.
Ingangseisen
Je moet een geldige toelatingsbeschikking hebben
Verplicht materiaal
-
Aanbevolen materiaal
Software
UA10182 Haskell 2013
Werkvormen (aanwezigheidsplicht)
Hoorcollege (Verplicht)

Toetsen
Eindresultaat
Weging100
Minimum cijfer6

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