FI:IB111 Intro to Programming - Course Information
IB111 Introduction to Programing using Python
Faculty of InformaticsAutumn 2014
- Extent and Intensity
- 2/2. 4 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
- Teacher(s)
- doc. Mgr. Radek Pelánek, Ph.D. (lecturer)
Ing. Mgr. et Mgr. Zdeněk Říha, Ph.D. (lecturer)
Mgr. et Mgr. Vít Baisa, Ph.D. (seminar tutor)
Mgr. Jan Drábek (seminar tutor)
RNDr. Tomáš Effenberger, Ph.D. (seminar tutor)
Mgr. Marek Klučár (seminar tutor)
Mgr. Matěj Klusáček (seminar tutor)
Mgr. Ondřej Nečas (seminar tutor)
Mgr. Juraj Nižnan (seminar tutor)
RNDr. Jan Papoušek, Ph.D. (seminar tutor)
RNDr. Jiří Řihák, Ph.D. (seminar tutor)
RNDr. Valdemar Švábenský, Ph.D. (seminar tutor)
Ing. Jan Vlach, Ph.D. (seminar tutor)
RNDr. Nikola Beneš, Ph.D. (assistant) - Guaranteed by
- doc. RNDr. Eva Hladká, Ph.D.
Department of Computer Systems and Communications – Faculty of Informatics
Supplier department: Department of Computer Systems and Communications – Faculty of Informatics - Timetable
- Wed 10:00–11:50 D3
- Timetable of Seminar Groups:
IB111/02: Fri 8:00–9:50 A215, J. Řihák
IB111/03: Wed 18:00–19:50 A215, J. Papoušek
IB111/04: Mon 12:00–13:50 B311, M. Klučár
IB111/05: Tue 10:00–11:50 A215, M. Klučár
IB111/06: Mon 18:00–19:50 B311, J. Drábek
IB111/07: Fri 12:00–13:50 B311, J. Vlach
IB111/08: Mon 16:00–17:50 B116, T. Effenberger
IB111/09: Thu 16:00–17:50 B117, V. Švábenský
IB111/10: Thu 18:00–19:50 B117, M. Klusáček - Prerequisites (in Czech)
- OBOR(SOCI) || OBOR(INVS) || (! PB162 Java && ! PB161 C++ Programming && ! PB071 Introduction to the C language && ! IB001 Intro to Prog. using C && !NOW( IB001 Intro to Prog. using C ))
- Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 400 student(s).
Current registration and enrolment status: enrolled: 0/400, only registered: 0/400, only registered with preference (fields directly associated with the programme): 0/400 - fields of study / plans the course is directly associated with
- Applied Informatics (programme FI, B-AP)
- Bioinformatics (programme FI, B-AP)
- Czech Language with Orientation on Computational Linguistics (programme FF, B-FI)
- Informatics with another discipline (programme FI, B-EB)
- Informatics with another discipline (programme FI, B-FY)
- Informatics with another discipline (programme FI, B-IO)
- Informatics with another discipline (programme FI, B-MA)
- Informatics with another discipline (programme FI, B-TV)
- Public Administration Informatics (programme FI, B-AP)
- Mathematical Informatics (programme FI, B-IN)
- 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)
- Programmable Technical Structures (programme FI, B-IN)
- Social Informatics (programme FI, B-AP)
- Artificial Intelligence and Natural Language Processing (programme FI, B-IN)
- Course objectives
- The course is an introduction to programming and algorithmic style of thinking. At the end of the course students should be able to: understand and apply basic constructs of programming languages (e.g., conditions, loops, functions, basic data types) and know several basic algorithms.
- Syllabus
- Basic constructions of imperative programming languages: conditions, loops, data types, functions, input, output.
- Number types, randomness, algorithms with numbers.
- Data types, lists, dictionaries, objects.
- Basic algorithms: prime numbers, sorting, searching. Complexity of algorithms (basics).
- Recursion.
- Turtle graphics, bitmap graphics, regular expressions, text processing.
- Literature
- recommended literature
- PELÁNEK, Radek. Programátorská cvičebnice: algoritmy v příkladech. Brno: Computer Press, 2012, 175 pp. ISBN 978-80-251-3751-2. info
- GUZDIAL, Mark and Barbara ERICSON. Introduction to computing & programming in Python : a multimedia approach. 2nd ed. Upper Saddle River [N.J.]: Prentice Hall, 2010, xxiii, 401. ISBN 9780136060239. info
- ZELLE, John M. Python programming : an introduction to computer science. Wilsonville: Franklin, Beedle &Associates, 2004, xiv, 514. ISBN 1887902996. info
- Teaching methods
- lectures, programming seminars, homeworks (programming)
- Assessment methods
- Assesment consists of 3 parts: homeworks (30 %), mid-term programming test (20 %), final written test with multiple choice questions (50 %).
- Language of instruction
- Czech
- Further Comments
- Study Materials
- Listed among pre-requisites of other courses
- IB002 Algorithms and data structures I
( IB015 || IB111 ) && !NOW(IB114) - IB113 Introduction to Programming and Algorithms
!NOW(IB111) && !IB111 && !PB162 && !PB161 && !PB071 && !IB001 && !program(B-INF) && !program(B-PVA) && !program(B-CS) - IB114 Introduction to Programming and Algorithms II
(IB111 || IB113) && !IB002 && !NOW(IB002) - Naskoc8 Nulté cvičení IB111
fakulta(FI) && typ_studia(B) && semestr(1) && NOW(IB111) - PB006 Principles of Programming Languages and OOP
(IB111 || NOW(IB111)) && (PB071 || PB111) - PB111 Principles of low-level programming
IB111 && PB151 - PV275 Introduction to Quantum Computer Programming
( MB141 || MB151 || MB101 || MB201 ) && IB111
- IB002 Algorithms and data structures I
- Teacher's information
- http://www.fi.muni.cz/~xpelanek/IB111/
- Enrolment Statistics (Autumn 2014, recent)
- Permalink: https://is.muni.cz/course/fi/autumn2014/IB111