Programming and modelling

Course guarantor:

Vít Fábera

Lecturer:

Tomáš Brandejský, Vít Fábera, Martin Fiala, Marek Kalika

Tutor:

Tomáš Brandejský, Vít Fábera, Martin Fiala, Marek Kalika

Supervisor:

Department of Applied Informatics in Transportation

Synopsis:

Object oriented programming, dynamic memory allocation, inheritage, generic programming, STL, abstract data types, programming techniques, recursion, complexity, Lindenmeyer's grammars, paralism in nature and in real systems, paralel computer systems, paralel programming, discrete simulation, models of processes, model types As-Is a To-Be, acquisition of analytical sources for modelling, BPMN language, SW Bizagi, model creation and life cycle.

Requirements:

Passing Algorithm and Programming courses

Syllabus of lectures:

1. Modeling

2. Process modeling

3. Modeling - UML

4. Modeling - BPMN

5. Repetition of C language properties, streams in C++

6. Functions in C/C++, function overloading, introduction to recursion

7. Structures in C, ADT, applications of recursion (programming techniques), search and sorting algorithms, algorithm complexity

8. Object-oriented programming

9. Constructors and destructors

10. Inheritance, virtual methods

11. Streams and files in C++

12. Genericity, templates, Qt library

13. Parallel programming

14. Parallel programming

Syllabus of tutorials:

1. Modeling

2. Process modeling

3. Modeling - UML

4. Modeling - BPMN

5. Repetition of C language properties, streams in C++

6. Functions in C/C++, function overloading, introduction to recursion

7. Structures in C, ADT, applications of recursion (programming techniques), search and sorting algorithms, algorithm complexity

8. Object-oriented programming

9. Constructors and destructors

10. Inheritance, virtual methods

11. Streams and files in C++

12. Genericity, templates, Qt library

13. Parallel programming

14. Parallel programming

Study Objective:

Knowledge acquisition concerning complex programs in C++, understanding of OOP and its aplication, basics of parallel programming, discrete simulation, models in transtport, process modelling.

Study materials:

Racek Stanislav, Kvoch Martin: Třídy a objekty C++, KOPP 1998

Pelánek Radek: Programátorská cvičebnice - Algoritmy v příkladech, Computer Press Brno, 2012

MATLOFF, Norm. Programming on Parallel Machines [online], http://heather.cs.ucdavis.edu/ mat- loff/158/PLN/ParProcBook.pdf

Webpages about BPMN http://www.bpmn.org/

Note:

Time-table for winter semester 2024/2025:

Time-table is not available yet

Time-table for summer semester 2024/2025:

	06:00–08:0008:00–10:0010:00–12:0012:00–14:0014:00–16:0016:00–18:0018:00–20:0020:00–22:0022:00–24:00
Mon
Tue
Wed
Thu	roomKO:105 16:45–18:15 (lecture parallel126) Konviktská 20 roomKO:105 18:30–20:00 (parallel nr.126) Konviktská 20
Fri

The course is a part of the following study plans:

• Master Full-Time IS (EN) from 2023/24 (compulsory course)
• Master Full-Time IS (joint degree) from 2024/25 (compulsory course)