Bachelor
2026/2027
C++ Programming Language
Type:
Compulsory course (Data Science and Business Analytics)
Delivered by:
Big Data and Information Retrieval School
Where:
Faculty of Computer Science
When:
1 year, 1, 2 module
Open to:
students of one campus
Language:
English
ECTS credits:
5
Contact hours:
112
Course Syllabus
Abstract
The course is intended to be taught during the second semester of the program. It is dedicated to the base features of the C++ programming language and C++ Standard Library (STL). The part covers all necessary topics that are needed to start developing a modern CLI1-applications in C++. The lectures and practical classes are closely inter-related. The lectures are primarily intended to introduce new topics, whereas the practical classes are intended for solving specific problems by coding programs in C++.
Learning Objectives
- One of the objectives of this course is for the students to will study the methodology of programming.
- During this course, the students will develop algorithmic thinking.
- During this course, the students will study approaches and toolchains for the development of C++-applications.
- During this course, the students will practice application debugging and deployment with respect to various platforms and toolchains.
Expected Learning Outcomes
- Students will learn basic concepts and methods of software development.
- Students will learn to analyze a problem to be implemented in the form of a C++-application.
- Students will learn to create a testbed environment for essential testing of the application.
- Students will learn to design app architecture with respect to problem decomposition and known limitations.
- Students will learn to select the most appropriate toolset for app development.
Course Contents
- Introduction to C++.
- Data types and Objects.
- Control flow statements.
- Expressions and Operators.
- Functions and procedures.
- C++ Memory model.
- Classes.
- Strings.
- Standard library (STL).
- Operator overloading.
- Templates.
- Exceptions and Move semantics.
- Inheritance.
Interim Assessment
- 2026/2027 2nd module0.3 * Exam + 0.1 * Contest + 0.2 * CW + 0.25 * Lab + 0.15 * Colloquium
Bibliography
Recommended Core Bibliography
- C++ programming : program design including data structures, Malik, D. S., 2009
- Data structures and algorithm analysis in C++, Weiss, M. A., 2006
Recommended Additional Bibliography
- Hedge fund modelling and analysis : an object oriented approach using C++, Darbyshire, P., 2017
- Mastering C++ programming, Chapman, W. A., 1998
- Modeling derivatives in C++, London, J., 2005