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Kursusbeskrivelse
Kursusnavn (dansk):Datamining 
Kursusnavn (engelsk):Data Mining 
Semester:Forår 2010 
Udbydes under:cand.it., medieteknologi og spil (mtg) 
Omfang i ECTS:7,50 
Kursussprog:Engelsk 
Kursushjemmeside:http://www.itu.dk/courses/MDMI/F2010/ 
Min. antal deltagere:12 
Forventet antal deltagere:30 
Maks. antal deltagere:35 
Formelle forudsætninger:Students must have experience with programming, at least to the level of an introductory programming course (e.g. "Introductory Programming", or "Object-Oriented Programming"). Some familiarity with statistics and database systems is desirable but not a requirement. 
Læringsmål: After the course the students should be able to:

- Analyze data mining problems and reason about the most appropriate methods to apply to a given dataset and knowledge extraction need.
- Implement basic pre-processing, association mining, classification and clustering algorithms.
- Apply and reflect advanced pre-processing, association mining, classification and clustering algorithms.
- Work efficiently in groups and evaluate the algorithms on real-world problems. 
Fagligt indhold:This course gives an introduction to the field of data mining. The course is relatively practically oriented, focusing on applicable algorithms. Practical exercises will involve both use of a freely available data mining package and individual implementation of algorithms.

The course will cover the following main topics:
- The data mining process
- Data pre-processing
- Pattern and association mining
- Classification and prediction
- Cluster analysis

Additionally the course will touch on topics including data warehousing, validation and recommender systems. Application examples will given from domains including e-commerce, computer games and finance. 
Læringsaktiviteter:12 forelæsninger + frivillige øvelsestimer

7 weeks of lectures, followed by 7 weeks of supervised group projects. 

Eksamensform og -beskrivelse:B4: Mundtlig eksamen med skriftlige arbejder men uden forberedelsestid ved eksamen, 7-trins-skala, Ekstern censur

 

Litteratur udover forskningsartikler:Jiawei Han and Micheline Kamber: Data Mining: Concepts and Techniques (second edition). Elsevier 2006. 
 
Undervisere
Følgende personer underviser på kurset:
NavnStillingUndervisertypeIndsats (%)
Julian Togelius Postdoc(ITU) Kursusansvarlig 100

Afholdelse (tid og sted)
Kurset afholdes på følgende tid og sted:
UgedagTidspunktForelæsning/ØvelserStedLokale
Fredag 11.00-13.00 Forelæsning ITU 2A12
Fredag 13.45-15.45 Øvelser ITU 3A52

Eksamen afholdes på følgende tid og sted:
EksamensdatoTidspunktEksamenstypeStedLokale
2010-05-25 No later than 3 PM Skriftlige arbejder ITU The Examination Office
2010-06-14 Please contact the course manager Mundtlig eksamen ITU 2A52
2010-06-15 Please contact the course manager Mundtlig eksamen ITU 2A52
2010-08-20 Mulig dag for reeksamen /Possible date for re-exam Mundtlig eksamen ITU Eksamensform kan blive ændret / Examination form may be altered
2010-08-23 Mulig dag for reeksamen /Possible date for re-exam Mundtlig eksamen ITU Eksamensform kan blive ændret / Examination form may be altered
2010-08-25 Mulig dag for reeksamen /Possible date for re-exam Mundtlig eksamen ITU Eksamensform kan blive ændret / Examination form may be altered