C++ Programming Language

Bachelor 2023/2024

Type: Compulsory course (Data Science and Business Analytics)

Area of studies: Applied Mathematics and Information Science

Delivered by: Big Data and Information Retrieval School

Where: Faculty of Computer Science

When: 1 year, 3, 4 module

Mode of studies: offline

Open to: students of one campus

Instructors: Притула Наталия Евгеньевна, Рудаков Кирилл Александрович, Maria Gordenko, Ivan Kopylov, Sergey Shershakov

Language: English

ECTS credits: 6

Contact hours: 120

Full Syllabus Ask Question

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

1st semester Ongoing Assessment 0.6
2nd semester Ongoing Assessment 0.6
2nd semester Exam
Regular tests
Individual Home tasks

Interim Assessment

2023/2024 4th module
Final grade = 0.7 *min(1st semester grade, 2nd semester grade) + 0.3 *max(1st semester grade, 2nd semester grade)

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

Course Syllabus