FI:IB002 Algorithms I - Course Information
IB002 Design of Algorithms I
Faculty of InformaticsSpring 2008
- Extent and Intensity
- 2/1. 3 credit(s) (plus extra credits for completion). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium), z (credit).
- Teacher(s)
- RNDr. Libor Škarvada (lecturer)
RNDr. Filip Andres (seminar tutor)
RNDr. Lukáš Boháč (seminar tutor)
Mgr. et Mgr. Martin Derka, M.Sc. (seminar tutor)
RNDr. Štěpán Kozák (seminar tutor)
doc. RNDr. Barbora Kozlíková, Ph.D. (seminar tutor)
RNDr. Václav Lorenc (seminar tutor)
Mgr. Matúš Madzin (seminar tutor)
prof. RNDr. Jan Strejček, Ph.D. (seminar tutor)
doc. RNDr. David Svoboda, Ph.D. (seminar tutor)
RNDr. Josef Šprojcar, Ph.D. (seminar tutor)
Mgr. Filip Štefaňák (seminar tutor)
Mgr. Marek Trtík, Ph.D. (seminar tutor)
RNDr. Aleš Zlámal (seminar tutor)
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 D2, Mon 16:00–17:50 D3, Mon 16:00–17:50 D1
- Timetable of Seminar Groups:
IB002/02: each odd Wednesday 14:00–15:50 A107, J. Strejček
IB002/03: each even Tuesday 12:00–13:50 B011, V. Lorenc
IB002/04: each odd Tuesday 12:00–13:50 B011, V. Lorenc
IB002/05: each even Tuesday 10:00–11:50 B011, B. Kozlíková
IB002/06: each odd Tuesday 10:00–11:50 B011, B. Kozlíková
IB002/07: each even Friday 10:00–11:50 B011, D. Svoboda
IB002/08: each odd Friday 10:00–11:50 B011, D. Svoboda
IB002/09: each even Tuesday 8:00–9:50 B410, F. Andres
IB002/10: each odd Tuesday 8:00–9:50 B410, F. Andres
IB002/11: each even Friday 8:00–9:50 A107, J. Šprojcar
IB002/12: each odd Friday 8:00–9:50 A107, J. Šprojcar
IB002/13: each even Thursday 18:00–19:50 B410, L. Boháč
IB002/14: each odd Thursday 18:00–19:50 B410, L. Boháč
IB002/15: each even Tuesday 16:00–17:50 B204, L. Škarvada
IB002/16: each odd Tuesday 16:00–17:50 B204, L. Boháč - Prerequisites
- 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 / plans the course is directly associated with
- Applied Informatics (programme FI, B-AP)
- Bioinformatics (programme FI, B-AP)
- Informatics with another discipline (programme FI, B-BI)
- Informatics with another discipline (programme FI, B-FY)
- Informatics with another discipline (programme FI, B-GE)
- Informatics with another discipline (programme FI, B-GK)
- Informatics with another discipline (programme FI, B-CH)
- Informatics with another discipline (programme FI, B-IO)
- Informatics with another discipline (programme FI, B-MA)
- Informatics with another discipline (programme FI, B-SO)
- Informatics with another discipline (programme FI, B-TV)
- Informatics (programme FI, B-IN)
- Mathematical Informatics (programme FI, B-IN)
- Mathematics for Multi-Branches Study (programme PřF, B-MA)
- Mathematics (programme PřF, B-MA)
- Mathematics (programme PřF, B-MA)
- Parallel and Distributed Systems (programme FI, B-IN)
- Computer Graphics and Image Processing (programme FI, B-IN)
- Computer Networks and Communication (programme FI, B-IN)
- Computer Systems and Data Processing (programme FI, B-IN)
- Profesional Mathematics (programme PřF, B-MA)
- Programmable Technical Structures (programme FI, B-IN)
- Artificial Intelligence and Natural Language Processing (programme FI, B-IN)
- 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.
- Length of computation, algorithm complexity, problem complexity. Asymptotical analysis of time and space complexity, growth of functions, application of recursive relations in algorithm analysis.
- Fundamental data structures: Lists, pushdown stacks, queues. Binary search trees, balanced trees, representation of sets.
- Sorting algorithms: quicksort, mergesort, heapsort, lower bound for time complexity of sorting.
- Basic graph structures: Representation of graphs. Depth-first and breath-first traversal.
- Literature
- Assessment methods (in Czech)
- Zkoušky jsou písemné. Dvě zkoušky budou průběžné (polosemestrální) a jedna závěrečná za celý semestr.
Účast na cvičeních je povinná, neučast je možná pouze ze závažných důvodů. Student může maximálně ve dvou případech navštívit jinou skupinu cvičení, než do které je zapsán. V tomto případě je ale povinen tuto skutečnost nahlásit cvičícímu své seminární skupiny e-mailem a zapsat se na prezenční listinu seminární skupiny, na kterou se dostaví. - Language of instruction
- Czech
- Follow-Up Courses
- Further Comments
- Study Materials
The course is taught annually. - Listed among pre-requisites of other courses
- IB114 Introduction to Programming and Algorithms II
(IB111 || IB113) && !IB002 && !NOW(IB002) - IV003 Algorithms and Data Structures II
IB002 || program(PřF:N-MA) - IV100 Parallel and distributed computations
IB002 - MA015 Graph Algorithms
fi/IB002">IB002||(typ_studia(N)&&fakulta(fi))
- IB114 Introduction to Programming and Algorithms II
- Teacher's information
- http://www.fi.muni.cz/~libor/vyuka/IB002/
- Enrolment Statistics (Spring 2008, recent)
- Permalink: https://is.muni.cz/course/fi/spring2008/IB002