The course is also offered to the students of the fields other than those the course is directly associated with.
Fields of study the course is directly associated with
there are 9 fields of study the course is directly associated with, display
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.
After finishing this course, a student should be able to:
- use basic tools of structured imperative programming languages (variables, conditions, loops, functions, record data types);
- write and debug a simple Python program;
- use basic data types and structures (strings, lists, dictionaries);
- explain on an intuituve level the notion of algorithm;
- adhere to recommended principles of programming style.
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).
Turtle graphics, bitmap graphics, regular expressions, text processing.
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