Course: Introduction to Algorithms

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Course title Introduction to Algorithms
Course code USII/AZAL
Organizational form of instruction Lecture + Tutorial
Level of course Bachelor
Year of study not specified
Semester Winter
Number of ECTS credits 3
Language of instruction English
Status of course Compulsory
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Course availability The course is available to visiting students
Lecturer(s)
  • Panuš Jan, Ing. Ph.D.
Course content
Algorithm Analysis Basic Data Structures Search and sort algorithms Operations on data structures Applications for LEGO robotic sets, work with mobile platforms (iOS or Android)

Learning activities and teaching methods
Monologic (reading, lecture, briefing), Dialogic (discussion, interview, brainstorming), Work with text (with textbook, with book), Methods of individual activities
Learning outcomes
The aim of subject is to inform student of basic ideas within sphere of analysis and design of algorithms.
Student will be able to apply introduced properties on practical examples and student will be able to record procedure of solution both in pseudo code and in the form of flowchart.
Prerequisites
unspecified

Assessment methods and criteria
Written examination, Home assignment evaluation, Student performance assessment

Assignment is conditional to the following requirements: - active participation to seminars - completion and submission of all the tasks set by the tutor at each seminar. The final examination consists of written part. The oral examination might also be considered.
Recommended literature
  • Lawler, A. Combinatorial Optimization. New York, 2001.
  • Levitin, Anany. Introduction to the design and analysis of algorithms. Boston: Addison-Wesley, 2003. ISBN 0-201-74395-7.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Economics and Administration Study plan (Version): Regional and Information Management (2013) Category: Economy 1 Recommended year of study:1, Recommended semester: Winter