Course: Methods of problems solving in computer science

» List of faculties » PRF » KMI
Course title Methods of problems solving in computer science
Course code KMI/MRUI
Organizational form of instruction Seminar
Level of course Master
Year of study not specified
Semester Winter
Number of ECTS credits 2
Language of instruction Czech
Status of course Compulsory-optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Kolařík Miroslav, doc. RNDr. Ph.D.
  • Krupka Michal, doc. RNDr. Ph.D.
  • Kühr Tomáš, Mgr. Ph.D.
Course content
unspecified

Learning activities and teaching methods
Lecture
Learning outcomes
Students are introduced to the algorithm types taught on high schools.

Prerequisites
unspecified

Assessment methods and criteria
Student performance

Recommended literature
  • Anany Levitin, Maria Levitin. Algorithmic Puzzles. Oxford University Press.
  • Böhm M., Lánský L., Veselý P. a kol. (2011). Programátorské kuchařky. Praha.
  • Donald E. Knuth. (2011). The Art of Computer Programming, Volumes 1-4A. Addison-Wesley Professional.
  • John MacCormick. (2013). Nine Algorithms That Changed the Future: The Ingenious Ideas That Drive Today's Computers. Princeton UP.
  • Pelánek, R. (2012). Programátorská cvičebnice: [algoritmy v příkladech]. Brno: Computer Press.
  • Roberts, E. (1986). Thinking resursively. New York, N.Y: John Wiley and Sons.
  • V. Anton Spraul. (2012). Think Like a Programmer: An Introduction to Creative Problem Solving. No Starch Press.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Science Study plan (Version): Teaching Training in Computer Science for Secondary Schools (2019) Category: Pedagogy, teacher training and social care 2 Recommended year of study:2, Recommended semester: Winter