Basics of Programming 2 (ENVIAUAA00)

Tárgy hivatalos adatlapja:

General Information

Good knowledge of the C programming language.

Required/ suggested previous courses
The course can be attended by students who have completed the course of Basics of Programming I.

Synopsis and Objectives
This course, as a basic BSc course based on the previous term, continues the exposition of methods and tools of computational problems. The main goal is the introduction to object-oriented programming. Based on the C programming language skills, the object-oriented techniques are introduced with the help of the C++ programming language. The curriculum of computer laboratories continuously follows the lectures.

Detailed Syllabus of the Course

1. C++ as a Revised Version of C

  • Recapitulation of curriculum provided in the previous term. Reference type.
  • Function name overload. Default function parameters. Inline functions instead of macros. Constants and constant parameters.

2. Fundamentals of the Object-Oriented Programming in C++

  • Principles of object-oriented programming, the concept of the object. Concepts of class, encapsulation, visibility, and information hiding.
  • Constructors and destructors. Dynamic memory management: new, new[], delete, delete[]. Maintaining dynamic attributes.
  • Attribute initialization. Constants and static members. Mitigation of visibility: friend mechanism. Namespaces. Introduction to C++ I/O.
  • Concept of operator overloading. Realizing operator overloading with local operations and global operations. Restrictions.
  • The role of the inheritance in object-oriented programming. Inheritance, derived class, base class. Influence of inheritance on visibility. Constructors and inheritance.
  • Polymorphism. Virtual functions, abstract classes. Restricting inheritance. Virtual destructors.
  • Multiple inheritance, virtual base classes.
  • Type conversion. C++ conversion operators. Casting.
  • Exception handling.
  • The role of the generic data structures. Function and class templates.
  • Standard Template Library (STL): containers and algorithms. Complexity considerations.

Education methods of the course
Lectures, computer laboratories.

Modification of Requirements in the Spring Semester of Academic Year 2019/20 during Distance Learning

After having changed to distance learning, the course requirements are modified as follows.

Lectures will be provided as online consultations (TUE 16:30-18:00) by using MS Teams. The lecture is an interactive consultation, during which anyone can ask the lecturer a question using chat, video conferencing or shared screen.

    Schedule for consultations:
  • March 24: Friend functions and Friend classes, Namespaces.
  • March 31: Introduction to I/O, File management
  • April 07: Operator overloading
  • April 14: Inheritance, polymorphism
  • April 21: Multiple inheritance, Exception management in C++
  • April 28: Conversion constructor, conversion operator
  • May 05: Generic types, function template, class template
  • May 12: Open issues, general questions


    Recommended online sources for studying:
  • Geeks For Geeks (C++ Programming Language)
  • C++ Tutorial (Learn to Code | SoloLearn)
  • Learn Advanced C++ Programming (Online Courses - Learn Anything, On Your Schedule | Udemy)
  • C++ For C Programmers(Online Courses & Credentials by Top Educators | Coursera)
  • Any other C++ resource, book or online course

Computer Labs are carried out using distant learning techniques. The schedule is the same: WED 16:15-17:45. The lab instructors will send you Teams invitations to join the lab meetings. All lab materials can be found on the course website as usual. After each lab, you will submit the Lab Report to the instructor for evaluation. Submission should be done on the course website. Deadline: +1 week from the laboratory class. The deadlines are fixed and cannot be extended.

    Schedule for laboratories:
  • March 25: Consultation to help you with the selection of the Final Project topic, Q&A session with the lab instructor
  • April 1: Lab #6 (deadline for Final Project topic selection)
  • April 8: Lab #7
  • April 15: Lab #8
  • April 22: Final Project Checkpoint: report your progress to the Instructor (mandatory). Consultation (upon request).
  • April 29: Lab #9
  • May 6: Lab #10
  • May 13: Final Project Checkpoint: last consultation regarding code and documentation of the Final Project. Submission instructions.
  • May 20: Personal online presentations (defense) of the Final Projects
Deadline for Final Project code and documentation upload: May 17, 2020.

The Final Project selection deadline is postponed by one week (the new deadline is April 1). Your topic should be approved by the lab instructor; otherwise, your Project is void. The minimal requirements are changed to the following: an object-oriented approach to programming, dynamic memory management, exception handling, file management. Final project checkpoints are mandatory and your absence or failure to present acceptable achievements will result is the reduction of Project points. Consultations for the Final Project will be arranged by the lab instructors on April 1, April 22, May 13. You may also request personal consultation with your lab instructor in his/her office hours (online).

Control Tests, Placement tests on the labs and Midterm Tests are canceled as they cannot be organized via distance learning. The two first Control Tests taken traditionally will be considered for the Final Grade calculation - I will take only one (the best) out of two.

Grading and Assessment. The Final Project is graded with 0…100 points. The quality of your Lab Reports (Lab#6 to Lab#10) is graded with 0..10 points.

The Final Grade will include your Lab Reports score (weighted with 0.2) + best of CT1, CT2 (weighted with 0.2) + Final Project score (weighted with 0.6).

Final grade:

  • 85%       - excellent (5)
  • 71-84%  - good (4)
  • 58-70%  - satisfactory (3)
  • 45-57%  - pass (2)
  • 0-44%    - failed (1)


Requirements (canceled for the Spring Semester of acad. year 2019/20)

In lecture term:

  • The continuity of learning is checked by Placement Tests at computer laboratories, which is a pass/fail check. If a student fails the Placement Test, he cannot take part in the computer laboratory (in other words his attendance is null).
  • The quality of learning is checked by 5 Control Tests (max. 10 points each) at computer labs.  
  • There is no Placement Test on the first computer laboratory. There is no Placement Test on the day of the Control Test.
  • Two in-class Midterm Tests will take place during the semester: one in the middle, another at the end of the semester.
  • The student should submit a Project Assignment that requires the application of system and algorithm design, testing, and documentation skills. It should be submitted electronically on the course webpage. The student must always follow the directions of the computer lab Instructor and use the file names, formats, etc. specified in the assignment (if any), or else his/her submission will not be accepted. Please note that the Project Assignment or Project Topic Selection Form may not be submitted after the deadline and/or by e-mail for any reason!

The course is finished successfully, if

  • The student is a regular attendant at the lectures, and computer laboratories; the absence cannot exceed 30% as it is defined in the Code of Studies and Exams (CSE), Article 14, Point 3. Absence at lectures and computer laboratories is taken separately.
  • The three best Control Tests should score at least 40% each; the total points for all taken Control Tests should be at least 20.
  • The sum of two Midterm Test points should be at least 50% of the total possible score for both tests.
  • The Project Assignment is prepared based on the specification, and it is personally accepted by the computer lab instructor. Furthermore,
    • the full documentation is prepared, and
    • the software is approved by computer lab Instructor at personal defense.

All of the above conditions must be fulfilled, otherwise, the term grade is unsatisfactory (failed).

If all the abovelisted conditions are fulfilled, the grade is calculated as follows:

  • The average of the Control Tests is the average of the three best Control Tests. If anybody has less than three Control Tests, then the not written tests are considered with 0 points.
  • The final grade is the weighted average of the Control Tests and the Midterm Tests.


FInalResult[%] = (MidTerm1 + MidTerm2 + SumOf3BestCT / 0.3) / 3

The grade, calculated based on these rules, can be modified by the course lecturer with +/-10%. The lecturer can make this decision based on the student's performance at the laboratories and the quality of the submitted Final Project.

Final grade:

  • 85%       - excellent (5)
  • 71-84%  - good (4)
  • 58-70%  - satisfactory (3)
  • 45-57%  - pass (2)
  • 0-44%    - failed (1)


Honor code

  • It is the responsibility of each student to complete all assignments according to the requirements set by the Instructor and to submit only work that is his or her own. Submitting others' assignments is a big academic sin; doing that you are committing fraud. All assignments will be automatically and manually compared against each other.
  • All parties involved in plagiarism and cheating will be prosecuted no matter who copied from whom. It is your duty to keep your code secure. The incident of this kind will be reported to the respective academic authority for measures to be taken.
  • The attendance register is circulated regularly in classes, and it is your responsibility to ensure that you sign it. You can sign a register in the first 5 minutes after the start of classes. It is an offense to sign a register on behalf of someone else and anyone found doing so may be investigated for fraud.
  • A student who is unsure whether an action constitutes an offense, or who needs help in learning how to avoid offenses (e.g., plagiarism, cheating) or about rules for group work/collaboration should seek guidance from the course instructor or academic advisor. 

Code of Studies and Exams of BUTE (last modified by the University Senate in 2018) can be found here.

In this course, we want to encourage collaboration and the free interchange of ideas among students, and in particular, the discussion of project assignments, approaches to solving them, etc. However, we do not allow plagiarism, which, as commonly defined, consists of passing off as one's own ideas, words, writings, etc., which belong to another. In accordance with this definition, you are committing plagiarism if you copy the work of another person and turn it in as your own, even if you should have the permission of that person. 

Missed Assignments Information

One Midterm Test out of two can be retaken at the end of the semester. The student can choose which test to retake, however, this choice must be reported to the lecturer on the last class before the repeated test. Throughout the semester there are 5 Control Tests, none of them can be retaken. The Placement Tests cannot be retaken either.

Late submission of the Project Assignment is allowed in special circumstances. For the late submission of the Project Assignment, you must obtain the permission of the lab instructor and the course lecturer. Please note that the Project Assignment may not be submitted after the extended deadline for any reason!

Texbooks and Weblinks

  • Стивен Прата "Язык программирования С++. Лекции и упражнения", 6 издание, 2015.
  • Bjarne Stroustrup "The C++ Programming Language", Addison-Wesley, 1997 (3rd edition), 2013 (4th edition). Available in many languages.
  • Scott Meyers "Effective C++", Addison-Wesley, 1998 (2nd edition), 2005 (3rd edition). In English.
  • Nicolai M. Josuttis "The C++ Standard Library - A Tutorial and Reference", Addison-Wesley, 1999. The book is available in the following languages: English, русский, 조선말, čeština, 日本の, polski, 中文.
  • Tóth Bertalan "Programozzunk C++ nyelven", ComputerBooks, 2003. In Hungarian.
  • Programming problems with solutions: In Hungarian.
  • C and C++ programming resources: In English.

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