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This course is suitable for all undergraduate and doctoral students
who have acquired at least basic knowledge of mathematical logic,
graph theory, and complexity of algorithms. The course covers several
areas of interesting problems centerted around Boolean functions.
Although the course is mostly theoretical, it includes examples
of applications of the covered theory (e.g. in artificial intelligence
and relational databases). One of the goals of this course is to provide
the students with interesting research topics, which may be suitable
for their master thesis.
Last update: T_KTI (10.04.2001)
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The aim of this course is to introduce to the students the foundations of Boolean function theory and perhaps also suggest possible topics for a master theses.
Last update: Čepek Ondřej, prof. RNDr., Ph.D. (12.06.2019)
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There is only an oral exam. The subject of the exam can be anything covered in the course (including all proofs, of course). If the school is closed due to state regulations the exam will be administered online (via Zoom). Last update: Čepek Ondřej, prof. RNDr., Ph.D. (26.09.2020)
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Y.Crama, P.L.Hammer, Boolean Functions - Theory, Algorithms, and Applications. Cambridge University Press, 2011. Last update: Čepek Ondřej, prof. RNDr., Ph.D. (30.04.2015)
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Zkouška je pouze ústní, předmětem zkoušky může být cokoli z probrané látky (pochopitelně včetně důkazů). Last update: Čepek Ondřej, prof. RNDr., Ph.D. (12.06.2019)
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1) Introduction to Boolean functions.
2) Implicants, consequents, resolution (consensus) and its completeness 3) Monotone functions and their basic properties 2) Regular functions.
3) Threshold functions.
4) Satisfiability of Boolean formulae
5) Minimal representation of Boolean functions.
Last update: Čepek Ondřej, prof. RNDr., Ph.D. (30.04.2015)
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