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Computer Lab Work on Theory

Enström, Emma (författare)
KTH,Teoretisk datalogi, TCS
Kann, Viggo (författare)
KTH,Teoretisk datalogi, TCS
 (creator_code:org_t)
2010-06-26
2010
Engelska.
Ingår i: ITICSE 2010. - NEW YORK : ASSOC COMPUTING MACHINERY. - 9781605588209 ; , s. 93-97
  • Konferensbidrag (refereegranskat)
Abstract Ämnesord
Stäng  
  • This paper describes an attempt to introduce computer lab exercises on NP-completeness proofs in a class already containing computer lab exercises on algorithms and data structures. In the article we are interested in the answer of the following question: Can the students feel that their understanding of theoretical computer science is improved by performing a computer lab exercise on the subject? The class is mandatory for students in a computer science program, and is taken by about 130 students each year. Theory of NP-completeness proofs with reductions has previous years been examined on an individual assignment with written solutions handed in and later explained orally by the student to a teacher. The new assignment is performed as a computer lab exercise where students are working in small groups of two. This exercise is placed before the individual assignment, and is examined first by running automated test cases and later by an oral presentation in lab to a teacher. An improvement can be observed of the students' average results since the new assignment was introduced. This is not enough to prove the benefit of using the new assignment. However, the responses to questionnaires at course evaluations show that almost all students think that the assignment redly gave them better understanding of polynomial reductions in NP completeness proofs. The students' result on the new assignment corresponds closely to their results on the following individual assignment. Seemingly, the new assignment predicts accurately who is going to pass the following assignment.

Ämnesord

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

Nyckelord

reductions
learning theoretical computer science
computer lab work
Computer science
Datavetenskap

Publikations- och innehållstyp

ref (ämneskategori)
kon (ämneskategori)

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Av författaren/redakt...
Enström, Emma
Kann, Viggo
Om ämnet
NATURVETENSKAP
NATURVETENSKAP
och Data och informa ...
och Datavetenskap
Artiklar i publikationen
ITICSE 2010
Av lärosätet
Kungliga Tekniska Högskolan

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