IB111 Introduction to Programing using Python

Faculty of Informatics
Autumn 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:
IB111/01: Wed 12:00–13:50 B311, J. Řihák
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
there are 17 fields of study the course is directly associated with, display
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
Teacher's information
http://www.fi.muni.cz/~xpelanek/IB111/
The course is also listed under the following terms Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2012, Autumn 2013, Autumn 2015, Autumn 2016, Autumn 2017, Autumn 2018, Autumn 2019, Autumn 2020, Autumn 2021, Autumn 2022, Autumn 2023.
  • Enrolment Statistics (Autumn 2014, recent)
  • Permalink: https://is.muni.cz/course/fi/autumn2014/IB111