FI:IB111 Foundations of Programming

IB111 Foundations of Programming

Faculty of Informatics
Autumn 2023

Extent and Intensity

2/2/2. 5 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
Taught in person.

Teacher(s)

Guaranteed by

RNDr. Nikola Beneš, Ph.D.
Department of Computer Systems and Communications - Faculty of Informatics
Supplier department: Department of Computer Systems and Communications - Faculty of Informatics

Prerequisites (in Czech)

! IB113 Intro to Programming & Algs && ! NOW ( IB113 Intro to Programming & Algs )
Předmět je určen primárně studentům informatických programů. Ostatním studentům je doporučeno zapsat si předmět IB113.

Course Enrolment Limitations

The course is only offered to the students of the study fields the course is directly associated with.

fields of study / plans the course is directly associated with

there are 19 fields of study the course is directly associated with, display

Course objectives

The course is an introduction to programming and algorithmic style of thinking.

Learning outcomes

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); write and debug a program in Python; use basic data types and structures (strings, lists, dictionaries); describe several basic algorithms; describe main conventions and recommended programming style.

Syllabus

The course shows the basic elements of imperative programming and algorithmic thinking using the high-level programming language Python as an example.
Basic notions of imperative programming languages: variables and their semantics, expressions and statements, branching, cycles; subroutines (functions), passing parameters (calling functions), pure functions, predicates.
Numerical computation, basic data types, using the random generator.
Data structures, ADT, lists, strings, multidimensional arrays, sets, dictionaries, the basic of using objects to create user-defined data structures.
The basics of testing and debugging, preconditions and postconditions, type annotation.
Examples of basic algorithms: greatest common divisor, prime numbers, sorting algorithms, searching.
The efficiency of algorithms, the basics of complexity, the complexity of basic data structures operations.
Recursion and its specifics in the imperative paradigm, tail recursion; using recursion to work with tree data structures and to solve constraint satisfaction problems (the basics of the backtracking technique).
Interaction with the environment (I/O), turtle graphics, bitmap graphics, text processing.
Program design, programming styles and conventions, readability and maintainability of code, documentation and comments.

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, mid-term and final programming tests, final written test.

Language of instruction

Czech

Follow-Up Courses

Further Comments

The course is taught annually.
The course is taught: every week.

Listed among pre-requisites of other courses

IB002 Algorithms and data structures I
IB015 || IB111
IB113 Introduction to Programming and Algorithms
!NOW(IB111) && !IB111 && !PB162 && !PB161 && !PB071 && !IB001
IB114 Introduction to Programming and Algorithms II
(IB111 || IB113) && !IB002 && !NOW(IB002)
PB006 Principles of Programming Languages and OOP
(IB111 || NOW(IB111)) && PB071
PB111 Principles of low-level programming
IB015 || IB111
PV275 Introduction to Quantum Computer Programming
( MB141 || MB151 || MB101 || MB201 ) && IB111

The course is also listed under the following terms Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2012, Autumn 2013, Autumn 2014, Autumn 2015, Autumn 2016, Autumn 2017, Autumn 2018, Autumn 2019, Autumn 2020, Autumn 2021, Autumn 2022.

Enrolment Statistics (recent)
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FI:IB111 Foundations of Programming - Course Information

IB111 Foundations of Programming

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