Course: Algorithmization and programming practicum

« Back
Course title Algorithmization and programming practicum
Course code KST/IPALP
Organizational form of instruction Tutorial
Level of course Bachelor
Year of study not specified
Semester Summer
Number of ECTS credits 2
Language of instruction Czech
Status of course Compulsory
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Bažant Michael, doc. Ing. Ph.D.
  • Šimerda Karel, Ing.
  • Jakeš Martin, Ing.
Course content
Introduction to development environment, basic program structure, arrays, program inputs and outputs, basic programming techniques.

Learning activities and teaching methods
Monologic (reading, lecture, briefing), Dialogic (discussion, interview, brainstorming), Demonstration, Projection, Skills training
Learning outcomes
Aim of the subject is to improve and practice subject matter of the subject Basics of algorithmization and Basics of programming. The subject is designated for students who do not have sufficient experience with algorithmization and programming.
Algorithmization of problems, programming in Java.
Prerequisites
Subject matter of the subject Introduction to Algoriths.

Assessment methods and criteria
Home assignment evaluation, Student performance assessment, Work-related product analysis, Discussion

Students have to singly and correctly solve at least 75 % of submitted tasks. Credits are given during credit week by teacher in classroom.
Recommended literature
  • Beck Kent. Test Driven Development: By Example. 2002. ISBN 978-0321146533.
  • HEROUT P. Učebnice jazyka Java. České Budějovice: Kopp, 2006. 349 s. ISBN 80-7232-115-3.. null. null, null. ISBN null.
  • Hunt John. Java and Object Orientation. 2002. ISBN 978-1852335694.
  • TAUFER, I., HRUBINA, J., TAUFER, J.:. Algoritmy a algoritmizace: vývojové diagramy, sbírka řešených příkladů. Pardubice: Univerzita Pardubice, 2001.. Kopp, České Budějovice, 1997. ISBN 80-901342-2-X.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Electrical Engineering and Informatics Study plan (Version): Information Technology (2016) Category: Informatics courses 1 Recommended year of study:1, Recommended semester: Summer
Faculty: Faculty of Electrical Engineering and Informatics Study plan (Version): Information Technology (2015) Category: Informatics courses 1 Recommended year of study:1, Recommended semester: Summer
Faculty: Faculty of Electrical Engineering and Informatics Study plan (Version): Information Technology (2014) Category: Informatics courses 1 Recommended year of study:1, Recommended semester: Summer
Faculty: Faculty of Electrical Engineering and Informatics Study plan (Version): Information Technology (2013) Category: Informatics courses 1 Recommended year of study:1, Recommended semester: Summer