C++ Programming Language

2026/2027

Academic Year

ENG

Instruction in English

5

ECTS credits

Delivered at:

Big Data and Information Retrieval School

Course type:

Compulsory course

When:

1 year, 1, 2 module

Instructors

Gordenko, Maria

Kopylov, Ivan

Пронина Анна Сергеевна

Рудаков Кирилл Александрович

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.

Assessment Elements

• Contest
• Lab
• CW
• Colloquium
• Exam

Interim Assessment

• 2026/2027 2nd module
  0.3 * 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

Authors

• GORDENKO MARIIA KONSTANTINOVNA