Course detail
Language C++
FSI-SCP Acad. year: 2019/2020 Summer semester
C++ is a modern programming language, with a focus on high performance. It is widely being used in very different contexts and has excellent support in both tools and libraries. The language received a huge overhaul in 2011 with C++11, lifting it into the 21st century.
Language of instruction
Czech
Number of ECTS credits
3
Supervisor
Department
Learning outcomes of the course unit
Students will obtain the basic skills and experiences of program writing and debugging using programming language C++.
Prerequisites
The basic knowledge and experience with programming language (C#, Java ) are expected.
Planned learning activities and teaching methods
The course is taught through lectures explaining the basic principles and theory of the discipline. Exercises are focused on practical topics presented in lectures.
Assesment methods and criteria linked to learning outcomes
Graded course-unit credit is awarded on the following conditions: 30% on weekly programming assignments, 70% on the individual project. Participation in the lessons may be reflected in the final mark.
Aims
The aim of this course is to get up-to-date on modern programming techniques, up to and including C++17. There is a wealth of numerical libraries for scientific computing in C++. Students will be able to develop modern scientific applications.
Specification of controlled education, way of implementation and compensation for absences
Attendance at lectures is recommended, attendance at seminars is required. Lessons are planned according to the week schedules. Absence from lessons may be compensated by the agreement with the teacher supervising the seminars.
The study programmes with the given course
Programme B3A-P: Applied Sciences in Engineering, Bachelor's
branch B-MAI: Mathematical Engineering, compulsory
Type of course unit
Lecture
13 hours, optionally
Teacher / Lecturer
Syllabus
1. Basic parts of modern C++
2. Fundamental types of data
3. Arrays and Loops
4. Pointers and References
5. Defining Functions
6. Function Templates
7. Preprocessing directives
8. Classes and object-oriented Programming
9. Operator Overloading
10. Inheritance, polymorphism
11. Class templates
12. STL containers and algorithms
13. Scientific computing libraries
Computer-assisted exercise
26 hours, compulsory
Teacher / Lecturer
Syllabus
1. Visual studio 2019
2. MSBuild, CMake, vcpkg
3. -8. Small projects
9. C++/CLI
10. Interoperability (Matlab, .NET)
11. Armadillo, Eigen, MKL
12. Boost.Numeric.Odeint
13. Accreditation