IB108 Algorithms and data structures II

Faculty of Informatics
Spring 2013
Extent and Intensity
2/1. 3 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
Teacher(s)
prof. RNDr. Ivana Černá, CSc. (lecturer)
RNDr. Nikola Beneš, Ph.D. (seminar tutor)
RNDr. Mária Svoreňová, Ph.D. (seminar tutor)
Mgr. Petr Bauch, Ph.D. (assistant)
RNDr. Peter Bezděk, Ph.D. (assistant)
RNDr. Petra Budíková, Ph.D. (assistant)
Mgr. Vojtěch Havel (assistant)
Mgr. Jan Havlíček (assistant)
RNDr. David Klaška (assistant)
Mgr. Miroslav Klimoš (assistant)
doc. RNDr. Petr Novotný, Ph.D. (assistant)
Guaranteed by
prof. RNDr. Mojmír Křetínský, CSc.
Department of Computer Science – Faculty of Informatics
Supplier department: Department of Computer Science – Faculty of Informatics
Timetable
Mon 14:00–15:50 D2
  • Timetable of Seminar Groups:
IB108/01: each even Thursday 16:00–17:50 C511, N. Beneš
IB108/02: each odd Thursday 16:00–17:50 C511, N. Beneš
IB108/03: each even Friday 8:00–9:50 C511, M. Svoreňová
IB108/04: each odd Friday 8:00–9:50 C511, M. Svoreňová
Prerequisites (in Czech)
IB002 Algorithms I
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 18 fields of study the course is directly associated with, display
Course objectives
The course expands on the introductory course Algortihm Design I. It presents algorithmic concepts without their direct connection to any particular programming language. The aim is to introduce students into design and analysis of advanced algorithms. The course presents advanced techniques of algorithm analysis and a wide spectrum of strategies together with algorithms built up on these strategies. Students are introduced into new data structures which are displayed in a row with algorithms based on them.
Syllabus
  • Advanced design and analysis techniques: dynamic programming, greedy strategies,backtracking. Amortized analysis.
  • Advanced data structures: binomial and Fibonacci heaps, data structures for disjoint sets.
  • Graph algorithms: Single-Source Shortest Paths (The Bellman-Ford algorithm). All-Pairs Shortest Paths (Shortest paths and matrix multiplication, The Floyd-Warshall algorithm, Johnson's algorithm for sparse graphs). Maximum Flow (The Ford-Fulkerson method, The Push-Relabel method). Maximum bipartite matching.
  • String matching: the naive string-matching algorithm, Karp-Rabin algorithm, string matching with finite automata. The Knuth-Morris-Pratt algorithm.
Literature
  • DASGUPTA, Sanjoy, Christos Ch. PAPADIMITRIOU and Umesh Virkumar VAZIRANI. Algorithms. 1st ed. Boston: McGraw-Hill Companies, 2008, x, 320. ISBN 9780073523408. info
  • KLEINBERG, Jon and Éva TARDOS. Algorithm design. Boston: Pearson/Addison-Wesley, 2006, xxiii, 838. ISBN 0321372913. URL info
  • CORMEN, Thomas H., Charles Eric LEISERSON and Ronald L. RIVEST. Introduction to algorithms. Cambridge: MIT Press, 1989, xvii, 1028. ISBN 0070131430. info
Bookmarks
https://is.muni.cz/ln/tag/FI:IB108!
Teaching methods
Lectures and seminars. Students are required to solve given algorithmical problems.
Assessment methods
The course has a form of a lecture with a seminar. During the term students separately solve sets of algorithmic problems. The course is concluded by the written exam. Student can attend the final exam providing she/he has acquired given number of points from problem sets.
Language of instruction
Czech
Follow-Up Courses
Further Comments
Study Materials
The course is taught annually.
Teacher's information
https://is.muni.cz/auth/el/1433/jaro2012/IB108/index.qwarp
The course is also listed under the following terms Spring 2003, Spring 2004, Spring 2005, Spring 2006, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012.

IB108 Algorithm Design II

Faculty of Informatics
Spring 2012
Extent and Intensity
2/1. 3 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
Teacher(s)
prof. RNDr. Ivana Černá, CSc. (lecturer)
RNDr. Nikola Beneš, Ph.D. (seminar tutor)
RNDr. Petra Budíková, Ph.D. (seminar tutor)
Mgr. Petr Bauch, Ph.D. (assistant)
doc. RNDr. Milan Češka, Ph.D. (assistant)
Mgr. Sven Dražan (assistant)
RNDr. Mgr. Jana Dražanová, Ph.D. (assistant)
Mgr. Bc. Zuzana Komárková (assistant)
doc. RNDr. Petr Novotný, Ph.D. (assistant)
Guaranteed by
prof. RNDr. Mojmír Křetínský, CSc.
Department of Computer Science – Faculty of Informatics
Supplier department: Department of Computer Science – Faculty of Informatics
Timetable
Mon 12:00–13:50 D2
  • Timetable of Seminar Groups:
IB108/01: each even Monday 16:00–17:50 G124, P. Budíková
IB108/02: each odd Monday 16:00–17:50 G124, P. Budíková
IB108/03: each even Tuesday 16:00–17:50 G124, N. Beneš
IB108/04: each odd Tuesday 16:00–17:50 G124, N. Beneš
Prerequisites (in Czech)
IB002 Algorithms I
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 18 fields of study the course is directly associated with, display
Course objectives
The course expands on the introductory course Algortihm Design I. It presents algorithmic concepts without their direct connection to any particular programming language. The aim is to introduce students into design and analysis of advanced algorithms. The course presents advanced techniques of algorithm analysis and a wide spectrum of strategies together with algorithms built up on these strategies. Students are introduced into new data structures which are displayed in a row with algorithms based on them.
Syllabus
  • Advanced design and analysis techniques: dynamic programming, greedy strategies,backtracking. Amortized analysis.
  • Advanced data structures: binomial and Fibonacci heaps, data structures for disjoint sets.
  • Graph algorithms: Single-Source Shortest Paths (The Bellman-Ford algorithm). All-Pairs Shortest Paths (Shortest paths and matrix multiplication, The Floyd-Warshall algorithm, Johnson's algorithm for sparse graphs). Maximum Flow (The Ford-Fulkerson method, The Push-Relabel method). Maximum bipartite matching.
  • String matching: the naive string-matching algorithm, Karp-Rabin algorithm, string matching with finite automata. The Knuth-Morris-Pratt algorithm.
Literature
  • DASGUPTA, Sanjoy, Christos Ch. PAPADIMITRIOU and Umesh Virkumar VAZIRANI. Algorithms. 1st ed. Boston: McGraw-Hill Companies, 2008, x, 320. ISBN 9780073523408. info
  • KLEINBERG, Jon and Éva TARDOS. Algorithm design. Boston: Pearson/Addison-Wesley, 2006, xxiii, 838. ISBN 0321372913. URL info
  • CORMEN, Thomas H., Charles Eric LEISERSON and Ronald L. RIVEST. Introduction to algorithms. Cambridge: MIT Press, 1989, xvii, 1028. ISBN 0070131430. info
Bookmarks
https://is.muni.cz/ln/tag/FI:IB108!
Teaching methods
Lectures and seminars. Students are required to solve given algorithmical problems.
Assessment methods
The course has a form of a lecture with a seminar. During the term students separately solve sets of algorithmic problems. The course is concluded by the written exam. Student can attend the final exam providing she/he has acquired given number of points from problem sets.
Language of instruction
Czech
Follow-Up Courses
Further Comments
Study Materials
The course is taught annually.
Teacher's information
https://is.muni.cz/auth/el/1433/jaro2012/IB108/index.qwarp
The course is also listed under the following terms Spring 2003, Spring 2004, Spring 2005, Spring 2006, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2013.

IB108 Algorithm Design II

Faculty of Informatics
Spring 2011
Extent and Intensity
2/1. 3 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
Teacher(s)
prof. RNDr. Ivana Černá, CSc. (lecturer)
RNDr. Nikola Beneš, Ph.D. (seminar tutor)
RNDr. Petra Budíková, Ph.D. (seminar tutor)
RNDr. Jana Tůmová, Ph.D. (seminar tutor)
Bc. Filip Bártek (assistant)
Mgr. Petr Bauch, Ph.D. (assistant)
RNDr. Nikola Beneš, Ph.D. (assistant)
Mgr. Sven Dražan (assistant)
RNDr. Mgr. Jana Dražanová, Ph.D. (assistant)
Mgr. Jan Láník (assistant)
RNDr. Jan Papoušek, Ph.D. (assistant)
Mgr. Adam Streck (assistant)
Guaranteed by
prof. RNDr. Mojmír Křetínský, CSc.
Department of Computer Science – Faculty of Informatics
Timetable
Mon 12:00–13:50 D2
  • Timetable of Seminar Groups:
IB108/01: each even Tuesday 8:00–9:50 B410, P. Budíková
IB108/02: each odd Tuesday 8:00–9:50 B410, P. Budíková
IB108/03: each even Thursday 18:00–19:50 B410, J. Tůmová
IB108/04: each odd Thursday 18:00–19:50 B410, J. Tůmová
Prerequisites (in Czech)
IB002 Algorithms I
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 17 fields of study the course is directly associated with, display
Course objectives
The course expands on the introductory course Algortihm Design I. It presents algorithmic concepts without their direct connection to any particular programming language. The aim is to introduce students into design and analysis of advanced algorithms. The course presents advanced techniques of algorithm analysis and a wide spectrum of strategies together with algorithms built up on these strategies. Students are introduced into new data structures which are displayed in a row with algorithms based on them.
Syllabus
  • Advanced design and analysis techniques: dynamic programming, greedy strategies,backtracking. Amortized analysis.
  • Advanced data structures: binomial and Fibonacci heaps, data structures for disjoint sets.
  • Graph algorithms: Single-Source Shortest Paths (The Bellman-Ford algorithm). All-Pairs Shortest Paths (Shortest paths and matrix multiplication, The Floyd-Warshall algorithm, Johnson's algorithm for sparse graphs). Maximum Flow (The Ford-Fulkerson method, The Push-Relabel method). Maximum bipartite matching.
  • String matching: the naive string-matching algorithm, Karp-Rabin algorithm, string matching with finite automata. The Knuth-Morris-Pratt algorithm.
Literature
  • DASGUPTA, Sanjoy, Christos Ch. PAPADIMITRIOU and Umesh Virkumar VAZIRANI. Algorithms. 1st ed. Boston: McGraw-Hill Companies, 2008, x, 320. ISBN 9780073523408. info
  • KLEINBERG, Jon and Éva TARDOS. Algorithm design. Boston: Pearson/Addison-Wesley, 2006, xxiii, 838. ISBN 0321372913. URL info
  • CORMEN, Thomas H., Charles Eric LEISERSON and Ronald L. RIVEST. Introduction to algorithms. Cambridge: MIT Press, 1989, xvii, 1028. ISBN 0070131430. info
Bookmarks
https://is.muni.cz/ln/tag/FI:IB108!
Teaching methods
Lectures and seminars. Students are required to solve given algorithmical problems.
Assessment methods
The course has a form of a lecture with a seminar. During the term students separately solve sets of algorithmic problems. The course is concluded by the written exam. Student can attend the final exam providing she/he has acquired given number of points from problem sets.
Language of instruction
Czech
Follow-Up Courses
Further Comments
Study Materials
The course is taught annually.
Teacher's information
https://is.muni.cz/auth/el/1433/jaro2011/IB108/index.qwarp
The course is also listed under the following terms Spring 2003, Spring 2004, Spring 2005, Spring 2006, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2012, Spring 2013.

IB108 Algorithm Design II

Faculty of Informatics
Spring 2010
Extent and Intensity
2/1. 3 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
Teacher(s)
prof. RNDr. Ivana Černá, CSc. (lecturer)
RNDr. Nikola Beneš, Ph.D. (seminar tutor)
RNDr. Petra Budíková, Ph.D. (assistant)
doc. RNDr. Milan Češka, Ph.D. (assistant)
RNDr. Jakub Chaloupka, Ph.D. (assistant)
Mgr. Milan Křivánek (assistant)
Mgr. Jan Láník (assistant)
Mgr. Filip Štefaňák (assistant)
RNDr. Jana Tůmová, Ph.D. (assistant)
Guaranteed by
prof. RNDr. Mojmír Křetínský, CSc.
Department of Computer Science – Faculty of Informatics
Timetable
Mon 14:00–15:50 D2
  • Timetable of Seminar Groups:
IB108/01: each odd Tuesday 18:00–19:50 B011, N. Beneš
IB108/02: each even Tuesday 18:00–19:50 B011, N. Beneš
IB108/03: each odd Thursday 14:00–15:50 B410, N. Beneš
IB108/04: each even Thursday 14:00–15:50 B410, N. Beneš
Prerequisites (in Czech)
IB002 Algorithms I
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 20 fields of study the course is directly associated with, display
Course objectives
The course expands on the introductory course Algortihm Design I. It presents algorithmic concepts without their direct connection to any particular programming language. The aim is to introduce students into design and analysis of advanced algorithms. The course presents advanced techniques of algorithm analysis and a wide spectrum of strategies together with algorithms built up on these strategies. Students are introduced into new data structures which are displayed in a row with algorithms based on them.
Syllabus
  • Advanced design and analysis techniques: dynamic programming, greedy strategies, backtracking, local search. Amortized analysis.
  • Advanced data structures: binomial and Fibonacci heaps, data structures for disjoint sets.
  • Graph algorithms: spanning trees, shortest paths, flows, matching.
  • String matching: the naive string-matching algorithm, Karp-Rabin algorithm, string matching with finite automata.
Literature
  • DASGUPTA, Sanjoy, Christos Ch. PAPADIMITRIOU and Umesh Virkumar VAZIRANI. Algorithms. 1st ed. Boston: McGraw-Hill Companies, 2008, x, 320. ISBN 9780073523408. info
  • KLEINBERG, Jon and Éva TARDOS. Algorithm design. Boston: Pearson/Addison-Wesley, 2006, xxiii, 838. ISBN 0321372913. URL info
  • CORMEN, Thomas H., Charles Eric LEISERSON and Ronald L. RIVEST. Introduction to algorithms. Cambridge: MIT Press, 1989, xvii, 1028. ISBN 0070131430. info
Bookmarks
https://is.muni.cz/ln/tag/FI:IB108!
Teaching methods
Lectures and seminars. Students are required to solve given algorithmical problems.
Assessment methods
The course has a form of a lecture with a seminar. During the term students separately solve sets of algorithmic problems. The course is concluded by the written exam. Student can attend the final exam providing she/he has acquired given number of points from problem sets.
Language of instruction
Czech
Follow-Up Courses
Further Comments
The course is taught annually.
Teacher's information
https://is.muni.cz/auth/el/1433/jaro2010/IB108/index.qwarp
The course is also listed under the following terms Spring 2003, Spring 2004, Spring 2005, Spring 2006, Spring 2007, Spring 2008, Spring 2009, Spring 2011, Spring 2012, Spring 2013.

IB108 Algorithm Design II

Faculty of Informatics
Spring 2009
Extent and Intensity
2/1. 3 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
Teacher(s)
prof. RNDr. Ivana Černá, CSc. (lecturer)
RNDr. Nikola Beneš, Ph.D. (seminar tutor)
RNDr. Petra Budíková, Ph.D. (assistant)
doc. RNDr. Milan Češka, Ph.D. (assistant)
RNDr. Jakub Chaloupka, Ph.D. (assistant)
prof. Dr. rer. nat. RNDr. Mgr. Bc. Jan Křetínský, Ph.D. (assistant), Mgr. Bc. Martin Šmérek (deputy)
RNDr. Jana Tůmová, Ph.D. (assistant)
Guaranteed by
prof. RNDr. Mojmír Křetínský, CSc.
Department of Computer Science – Faculty of Informatics
Timetable
Mon 14:00–15:50 D2
  • Timetable of Seminar Groups:
IB108/01: each odd Monday 16:00–17:50 B011, N. Beneš
IB108/02: each even Monday 16:00–17:50 B011, N. Beneš
IB108/03: each odd Tuesday 18:00–19:50 B011, N. Beneš
IB108/04: each even Tuesday 18:00–19:50 B011, N. Beneš
IB108/05: each odd Monday 18:00–19:50 B011, N. Beneš
Prerequisites (in Czech)
IB002 Algorithms I
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 18 fields of study the course is directly associated with, display
Course objectives
The course expands on the introductory course Algortihm Design I. It presents algorithmic concepts without their direct connection to any particular programming language. The aim is to introduce students into design and analysis of advanced algorithms. The course presents advanced techniques of algorithm analysis and a wide spectrum of strategies together with algorithms built up on these strategies. New data structures are displayed in a row with algorithms based on them.
Syllabus
  • Advanced design and analysis techniques: dynamic programming, greedy strategies, backtracking, local search. Amortized analysis.
  • Advanced data structures: binomial and Fibonacci heaps, data structures for disjoint sets.
  • Graph algorithms: spanning trees, shortest paths, flows, matching.
  • String matching: the naive string-matching algorithm, Karp-Rabin algorithm, string matching with finite automata.
Literature
  • DASGUPTA, Sanjoy, Christos Ch. PAPADIMITRIOU and Umesh Virkumar VAZIRANI. Algorithms. 1st ed. Boston: McGraw-Hill Companies, 2008, x, 320. ISBN 9780073523408. info
  • KLEINBERG, Jon and Éva TARDOS. Algorithm design. Boston: Pearson/Addison-Wesley, 2006, xxiii, 838. ISBN 0321372913. URL info
  • CORMEN, Thomas H., Charles Eric LEISERSON and Ronald L. RIVEST. Introduction to algorithms. Cambridge: MIT Press, 1989, xvii, 1028. ISBN 0070131430. info
Bookmarks
https://is.muni.cz/ln/tag/FI:IB108!
Assessment methods
The course has a form of a lecture with a seminar. During the term students separately solve sets of algorithmic problems. The course is concluded by the written exam. Student can attend the final exam providing she/he has acquired given number of points from problem sets.
Language of instruction
Czech
Follow-Up Courses
Further Comments
Study Materials
The course is taught annually.
Teacher's information
https://is.muni.cz/auth/el/1433/jaro2009/IB108/index.qwarp
The course is also listed under the following terms Spring 2003, Spring 2004, Spring 2005, Spring 2006, Spring 2007, Spring 2008, Spring 2010, Spring 2011, Spring 2012, Spring 2013.

IB108 Algorithm Design II

Faculty of Informatics
Spring 2008
Extent and Intensity
2/1. 3 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
Teacher(s)
prof. RNDr. Ivana Černá, CSc. (lecturer)
RNDr. Nikola Beneš, Ph.D. (seminar tutor)
RNDr. Petra Budíková, Ph.D. (assistant)
doc. Ing. RNDr. Barbora Bühnová, Ph.D. (assistant)
doc. RNDr. Milan Češka, Ph.D. (assistant)
Mgr. Sven Dražan (assistant)
RNDr. Jakub Chaloupka, Ph.D. (assistant)
prof. Dr. rer. nat. RNDr. Mgr. Bc. Jan Křetínský, Ph.D. (assistant)
Mgr. Jitka Kudrnáčová (assistant)
RNDr. Jana Tůmová, Ph.D. (assistant)
Guaranteed by
prof. RNDr. Mojmír Křetínský, CSc.
Department of Computer Science – Faculty of Informatics
Timetable
Mon 14:00–15:50 D2
  • Timetable of Seminar Groups:
IB108/01: each even Wednesday 16:00–17:50 B011, N. Beneš, I. Černá
IB108/02: each odd Wednesday 16:00–17:50 B011, N. Beneš, I. Černá
IB108/03: each even Wednesday 18:00–19:50 B011, N. Beneš, I. Černá
IB108/04: each odd Wednesday 18:00–19:50 B011, N. Beneš, I. Černá
Prerequisites (in Czech)
IB002 Algorithms I
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 19 fields of study the course is directly associated with, display
Course objectives
The course expands on the introductory course Algortihm Design I. It presents algorithmic concepts without their direct connection to any particular programming language. The aim is to introduce students into design and analysis of advanced algorithms. The course presents advanced techniques of algorithm analysis and a wide spectrum of strategies together with algorithms built up on these strategies. New data structures are displayed in a row algorithms based on them.
Syllabus
  • Advanced design and analysis techniques: dynamic programming, greedy strategies, backtracking, local search. Amortized analysis.
  • Advanced data structures: binomial and Fibonacci heaps, data structures for disjoint sets.
  • Graph algorithms: spanning trees, shortest paths, flows, matching.
  • String matching: the naive string-matching algorithm, Karp-Rabin algorithm, string matching with finite automata.
Literature
  • DEMEL, Jiří. Grafy a jejich aplikace. Vyd. 1. Praha: Academia, 2002, 257 s. ISBN 8020009906. info
  • CORMEN, Thomas H., Charles Eric LEISERSON and Ronald L. RIVEST. Introduction to algorithms. Cambridge: MIT Press, 1989, xvii, 1028. ISBN 0070131430. info
Bookmarks
https://is.muni.cz/ln/tag/FI:IB108!
Assessment methods (in Czech)
Informace na webové stránce předmětu http://www.fi.muni.cz/usr/cerna/NAII
Language of instruction
Czech
Follow-Up Courses
Further comments (probably available only in Czech)
The course is taught annually.
Teacher's information
http://www.fi.muni.cz/usr/cerna/NAII/
The course is also listed under the following terms Spring 2003, Spring 2004, Spring 2005, Spring 2006, Spring 2007, Spring 2009, Spring 2010, Spring 2011, Spring 2012, Spring 2013.

IB108 Algorithm Design II

Faculty of Informatics
Spring 2007
Extent and Intensity
2/1. 3 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
Teacher(s)
prof. RNDr. Ivana Černá, CSc. (lecturer)
RNDr. Nikola Beneš, Ph.D. (seminar tutor)
Mgr. Jiří Šimša (seminar tutor)
RNDr. Petra Budíková, Ph.D. (assistant)
Mgr. Sven Dražan (assistant)
RNDr. Jakub Chaloupka, Ph.D. (assistant)
prof. Dr. rer. nat. RNDr. Mgr. Bc. Jan Křetínský, Ph.D. (assistant)
Mgr. Jitka Kudrnáčová (assistant)
Mgr. et Mgr. Pavlína Moravcová Vařeková (assistant)
Bc. Tomáš Richter (assistant)
RNDr. Petr Ročkai, Ph.D. (assistant)
Guaranteed by
prof. RNDr. Mojmír Křetínský, CSc.
Department of Computer Science – Faculty of Informatics
Timetable
Mon 12:00–13:50 D2
  • Timetable of Seminar Groups:
IB108/01: each even Tuesday 10:00–11:50 B410, J. Šimša
IB108/02: each odd Tuesday 10:00–11:50 B410, J. Šimša
IB108/03: each even Wednesday 10:00–11:50 C511, N. Beneš
IB108/04: each odd Wednesday 10:00–11:50 C511, N. Beneš
Prerequisites (in Czech)
IB002 Algorithms I
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 11 fields of study the course is directly associated with, display
Course objectives
The course expands on the introductory course Algortihm Design I. It presents algorithmic concepts without their direct connection to any particular programming language. The aim is to introduce students into design and analysis of advanced algorithms. The course presents advanced techniques of algorithm analysis and a wide spectrum of strategies together with algorithms built up on these strategies. New data structures are displayed in a row algorithms based on them.
Syllabus
  • Advanced design and analysis techniques: dynamic programming, greedy strategies, backtracking, local search. Amortized analysis.
  • Advanced data structures: binomial and Fibonacci heaps, data structures for disjoint sets.
  • Graph algorithms: spanning trees, shortest paths, flows, matching.
  • String matching: the naive string-matching algorithm, Karp-Rabin algorithm, string matching with finite automata.
Literature
  • DEMEL, Jiří. Grafy a jejich aplikace. Vyd. 1. Praha: Academia, 2002, 257 s. ISBN 8020009906. info
  • CORMEN, Thomas H., Charles Eric LEISERSON and Ronald L. RIVEST. Introduction to algorithms. Cambridge: MIT Press, 1989, xvii, 1028. ISBN 0070131430. info
Bookmarks
https://is.muni.cz/ln/tag/FI:IB108!
Assessment methods (in Czech)
Informace na webové stránce předmětu http://www.fi.muni.cz/usr/cerna/NAII
Language of instruction
Czech
Follow-Up Courses
Further comments (probably available only in Czech)
The course is taught annually.
Teacher's information
http://www.fi.muni.cz/usr/cerna/NAII/
The course is also listed under the following terms Spring 2003, Spring 2004, Spring 2005, Spring 2006, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, Spring 2013.

IB108 Algorithm Design II

Faculty of Informatics
Spring 2006
Extent and Intensity
2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
Teacher(s)
prof. RNDr. Ivana Černá, CSc. (lecturer)
Bc. Tomáš Richter (seminar tutor)
Guaranteed by
prof. RNDr. Mojmír Křetínský, CSc.
Department of Computer Science – Faculty of Informatics
Timetable
Thu 12:00–13:50 D3
Prerequisites (in Czech)
( I002 Algorithms I || IB002 Algorithms I )&&! I063 Algorithm Design II
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 11 fields of study the course is directly associated with, display
Course objectives
The course expands on the introductory course Algortihm Design I. It presents algorithmic concepts without their direct connection to any particular programming language. The aim is to introduce students into design and analysis of advanced algorithms. The course presents advanced techniques of algorithm analysis and a wide spectrum of strategies together with algorithms built up on these strategies. New data structures are displayed in a row algorithms based on them.
Syllabus
  • Advanced design and analysis techniques: dynamic programming, greedy strategies, backtracking, local search. Amortized analysis.
  • Advanced data structures: binomial and Fibonacci heaps, data structures for disjoint sets.
  • Graph algorithms: spanning trees, shortest paths, flows, matching.
  • String matching: the naive string-matching algorithm, Karp-Rabin algorithm, string matching with finite automata.
  • Algorithms for NP-hard problems: aproximative algorithms. Set-covering problem, traveling-salesman problem.
  • Randomized algorithms: randomized sorting, maximal independent-set problem. Randomness in data structures.
Literature
  • KOZEN, Dexter C. The Design and Analysis of Algorithms. New York: Springer-Verlag, 1992, 320 s. ISBN 0387976876. info
  • CORMEN, Thomas H., Charles Eric LEISERSON and Ronald L. RIVEST. Introduction to algorithms. Cambridge: MIT Press, 1989, xvii, 1028. ISBN 0070131430. info
Bookmarks
https://is.muni.cz/ln/tag/FI:IB108!
Assessment methods (in Czech)
Informace na webové stránce předmětu http://www.fi.muni.cz/usr/cerna/NAII/ib108.html
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
Teacher's information
http://www.fi.muni.cz/usr/cerna/NAII/ib108.html
The course is also listed under the following terms Spring 2003, Spring 2004, Spring 2005, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, Spring 2013.

IB108 Algorithm Design II

Faculty of Informatics
Spring 2005
Extent and Intensity
2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
Teacher(s)
prof. RNDr. Ivana Černá, CSc. (lecturer)
RNDr. Peter Bezděk, Ph.D. (assistant)
doc. RNDr. Jan Bouda, Ph.D. (assistant)
doc. Ing. RNDr. Barbora Bühnová, Ph.D. (assistant)
RNDr. Lukáš Hejtmánek, Ph.D. (assistant)
RNDr. Jakub Chaloupka, Ph.D. (assistant)
Mgr. Luboš Kresta (assistant)
Mgr. Pavel Moravec (assistant)
Bc. Tomáš Richter (assistant)
RNDr. Pavel Šimeček, Ph.D. (assistant)
Mgr. Jiří Šimša (assistant)
Guaranteed by
prof. RNDr. Mojmír Křetínský, CSc.
Department of Computer Science – Faculty of Informatics
Timetable
Mon 8:00–9:50 D3
Prerequisites (in Czech)
( I002 Algorithms I || IB002 Algorithms I )&&! I063 Algorithm Design II &&(!NOW( I063 Algorithm Design II ))
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 11 fields of study the course is directly associated with, display
Course objectives
The course expands on the introductory course Algortihm Design I. It presents algorithmic concepts without their direct connection to any particular programming language. The aim is to introduce students into design and analysis of advanced algorithms. The course presents advanced techniques of algorithm analysis and a wide spectrum of strategies together with algorithms built up on these strategies. New data structures are displayed in a row algorithms based on them.
Syllabus
  • Advanced design and analysis techniques: dynamic programming, greedy strategies, backtracking, local search. Amortized analysis.
  • Advanced data structures: binomial and Fibonacci heaps, data structures for disjoint sets.
  • Graph algorithms: spanning trees, shortest paths, flows, matching.
  • String matching: the naive string-matching algorithm, Karp-Rabin algorithm, string matching with finite automata.
  • Algorithms for NP-hard problems: aproximative algorithms. Set-covering problem, traveling-salesman problem.
  • Randomized algorithms: randomized sorting, maximal independent-set problem. Randomness in data structures.
Literature
  • KOZEN, Dexter C. The Design and Analysis of Algorithms. New York: Springer-Verlag, 1992, 320 s. ISBN 0387976876. info
  • CORMEN, Thomas H., Charles Eric LEISERSON and Ronald L. RIVEST. Introduction to algorithms. Cambridge: MIT Press, 1989, xvii, 1028. ISBN 0070131430. info
Bookmarks
https://is.muni.cz/ln/tag/FI:IB108!
Assessment methods (in Czech)
Informace na webové stránce předmětu http://www.fi.muni.cz/usr/cerna/NAII/i063.html
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught annually.
Teacher's information
http://www.fi.muni.cz/usr/cerna/NAII/i063.html
The course is also listed under the following terms Spring 2003, Spring 2004, Spring 2006, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, Spring 2013.

IB108 Algorithm Design II

Faculty of Informatics
Spring 2004
Extent and Intensity
2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
Teacher(s)
prof. RNDr. Ivana Černá, CSc. (lecturer)
Mgr. Tomáš Hanžl (assistant)
RNDr. Lukáš Hejtmánek, Ph.D. (assistant)
RNDr. Jakub Chaloupka, Ph.D. (assistant)
Mgr. Luboš Kresta (assistant)
Mgr. Jiří Šimša (assistant)
Mgr. Jitka Žídková (assistant)
Guaranteed by
prof. RNDr. Mojmír Křetínský, CSc.
Department of Computer Science – Faculty of Informatics
Timetable
Tue 10:00–11:50 D2
Prerequisites (in Czech)
( I002 Algorithms I || IB002 Algorithms I )&&! I063 Algorithm Design II &&(!NOW( I063 Algorithm Design II ))
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
The course expands on the introductory course Algortihm Design I. It presents algorithmic concepts without their direct connection to any particular programming language. The aim is to introduce students into design and analysis of advanced algorithms. The course presents advanced techniques of algorithm analysis and a wide spectrum of strategies together with algorithms built up on these strategies. New data structures are displayed in a row algorithms based on them.
Syllabus
  • Advanced design and analysis techniques: dynamic programming, greedy strategies, backtracking, local search. Amortized analysis.
  • Advanced data structures: binomial and Fibonacci heaps, data structures for disjoint sets.
  • Graph algorithms: spanning trees, shortest paths, flows, matching.
  • String matching: the naive string-matching algorithm, Karp-Rabin algorithm, string matching with finite automata.
  • Algorithms for NP-hard problems: aproximative algorithms. Set-covering problem, traveling-salesman problem.
  • Randomized algorithms: randomized sorting, maximal independent-set problem. Randomness in data structures.
Literature
  • KOZEN, Dexter C. The Design and Analysis of Algorithms. New York: Springer-Verlag, 1992, 320 s. ISBN 0387976876. info
  • CORMEN, Thomas H., Charles Eric LEISERSON and Ronald L. RIVEST. Introduction to algorithms. Cambridge: MIT Press, 1989, xvii, 1028. ISBN 0070131430. info
Bookmarks
https://is.muni.cz/ln/tag/FI:IB108!
Assessment methods (in Czech)
Informace na webové stránce předmětu http://www.fi.muni.cz/usr/cerna/NAII/i063.html
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught annually.
Teacher's information
http://www.fi.muni.cz/usr/cerna/NAII/ib108.html
The course is also listed under the following terms Spring 2003, Spring 2005, Spring 2006, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, Spring 2013.

IB108 Algorithm Design II

Faculty of Informatics
Spring 2003
Extent and Intensity
2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
Teacher(s)
prof. RNDr. Ivana Černá, CSc. (lecturer)
doc. Ing. RNDr. Barbora Bühnová, Ph.D. (assistant)
Mgr. Tomáš Hanžl (assistant)
RNDr. Lukáš Hejtmánek, Ph.D. (assistant)
Mgr. Pavel Krčál (assistant)
Mgr. Petr Liška (assistant)
Mgr. Pavel Moravec (assistant)
doc. Mgr. Adam Rogalewicz, Ph.D. (assistant)
Mgr. Jitka Žídková (assistant)
Guaranteed by
prof. RNDr. Mojmír Křetínský, CSc.
Department of Computer Science – Faculty of Informatics
Timetable
Tue 8:00–9:50 D1
Prerequisites (in Czech)
( I002 Algorithms I || I502 Algorithms I || IB002 Algorithms I )&&! I063 Algorithm Design II &&(!NOW( I063 Algorithm Design II ))
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
The course expands on the introductory course Algortihm Design I. It presents algorithmic concepts without their direct connection to any particular programming language. The aim is to introduce students into design and analysis of advanced algorithms. The course presents advanced techniques of algorithm analysis and a wide spectrum of strategies together with algorithms built up on these strategies. New data structures are displayed in a row algorithms based on them.
Syllabus
  • Advanced design and analysis techniques: dynamic programming, greedy strategies, backtracking, local search. Amortized analysis.
  • Advanced data structures: binomial and Fibonacci heaps, data structures for disjoint sets.
  • Graph algorithms: spanning trees, shortest paths, flows, matching.
  • String matching: the naive string-matching algorithm, Karp-Rabin algorithm, string matching with finite automata.
  • Algorithms for NP-hard problems: aproximative algorithms. Set-covering problem, traveling-salesman problem.
  • Randomized algorithms: randomized sorting, maximal independent-set problem. Randomness in data structures.
Literature
  • KOZEN, Dexter C. The Design and Analysis of Algorithms. New York: Springer-Verlag, 1992, 320 s. ISBN 0387976876. info
  • CORMEN, Thomas H., Charles Eric LEISERSON and Ronald L. RIVEST. Introduction to algorithms. Cambridge: MIT Press, 1989, xvii, 1028. ISBN 0070131430. info
Bookmarks
https://is.muni.cz/ln/tag/FI:IB108!
Assessment methods (in Czech)
Informace na webové stránce předmětu http://www.fi.muni.cz/usr/cerna/NAII/i063.html
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught annually.
Teacher's information
http://www.fi.muni.cz/usr/cerna/NAII/i063.html
The course is also listed under the following terms Spring 2004, Spring 2005, Spring 2006, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, Spring 2013.
  • Enrolment Statistics (recent)