IB002 Design of Algorithms I

Faculty of Informatics
Spring 2006
Extent and Intensity
2/0. 2 credit(s) (plus extra credits for completion). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium), z (credit).
Teacher(s)
doc. RNDr. Tomáš Pitner, Ph.D. (lecturer)
RNDr. Libor Škarvada (lecturer)
Mgr. Radek Holčák (assistant)
Guaranteed by
prof. RNDr. Mojmír Křetínský, CSc.
Department of Computer Science - Faculty of Informatics
Contact Person: RNDr. Libor Škarvada
Timetable
Mon 16:00–17:50 D1, Wed 10:00–11:50 D1
  • Timetable of Seminar Groups:
IB002/sc: Wed 13:00–14:50 C502, L. Škarvada
IB002/sp: Tue 18:00–19:50 C502, L. Škarvada
Prerequisites
! I002 Algorithms I &&! I502 Algorithms I
Ability to read and write simple programs in at least one functional and one imperative programming language is required.
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 the course is directly associated with
there are 15 fields of study the course is directly associated with, display
Course objectives
The course presents basic techniques of the analysis of algorithms, data structures, and operations. It is aimed at proving the correctness of algorithms and their efficiency. Basic algorithmic concepts and constructs are presented without any direct binding to a concrete programming language and without requirements of an immediate program implementation. The goal is to make the students know how to work with the algorithms themselves without any implementation details. It enables to present rather broad scope of techniques used in functional, imperative as well as object-oriented languages.
Syllabus
  • Basic analysis of algorithms: Correctness of algorithms, input and output conditions, partial correctness, convergence, verification.
  • The length of computation, algorithm complexity, problem complexity. Asymptotical analysis of time- and space complexity, the growth of functions, application of recursive relations in analysis of algorithms.
  • Fundamental data structures: Lists, pushdown stacks, queues. Binary search trees, balanced trees, representation of sets.
  • Sorting algorithms: quicksort, mergesort, heapsort, lower bound for complexity of sorting.
  • Basic graph structures: Representation of graphs. Depth-first and breath-first traversal.
Literature
  • SKIENA, Steven S. The algorithm design manual. New York: Springer, 1998. xvi, 486. ISBN 0387948600. info
  • CORMEN, Thomas H., Charles E. LEISERSON and Ronald L. RIVEST. Introduction to algorithms. Cambridge: MIT Press, 1989. xvii, 1028. ISBN 0070131430. info
Assessment methods (in Czech)
Kurs veden formou přednášek a je ukončen závěrečnou písemnou zkouškou.
Language of instruction
Czech
Follow-Up Courses
Further Comments
Study Materials
The course is taught annually.
Listed among pre-requisites of other courses
Teacher's information
http://www.fi.muni.cz/~libor/vyuka/IB002/
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, Spring 2014, Spring 2015, Spring 2016, Spring 2017, Spring 2018, Spring 2019, Spring 2020.
  • Enrolment Statistics (Spring 2006, recent)
  • Permalink: https://is.muni.cz/course/fi/spring2006/IB002