YZZ204 Object Oriented Programming

6 ECTS - 3-2 Duration (T+A)- 4. Semester- 4 National Credit

Information

Unit FACULTY OF SCIENCE AND LETTERS
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING PR. (ENGLISH)
Code YZZ204
Name Object Oriented Programming
Term 2026-2027 Academic Year
Semester 4. Semester
Duration (T+A) 3-2 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 4 National Credit
Teaching Language İngilizce
Level Lisans Dersi
Type Normal
Label FE Field Education Courses C Compulsory
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. YUSUF ALPER KAPLAN
Course Instructor
The current term course schedule has not been prepared yet.


Course Goal / Objective

to learn Object-oriented programming concepts using the C programming language

Course Content

Programming Techniques, Philosophy of Object Oriented Programming, Classes and Objects, Object Oriented Programming Concepts, Encapsulation, Abstraction, Implementation, Interface/Implementation, Inheritance, Polymorphism, Overriding/overloading, Constructors and Deconstructors, Object Oriented Analysis and Design,

Course Precondition

no prerequisites

Resources

Teach Yourself C++ Herbert Schildt

Notes

C++ How to Program H. M. Deitel, P. J. Deitel


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Explain the principles of the object oriented programming concept specifically encapsulation, inheritance and polymorphism
LO02 Apply the concepts of data encapsulation, inheritance, and polymorphism to computer programs
LO03 Design and develop object oriented programs
LO04 Can overload functions and operators


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal It provides a broad range of knowledge about fundamental Computer Science concepts, algorithms and data structures. 5
PLO02 Bilgi - Kuramsal, Olgusal Learns basic computer topics such as software development, programming languages, and database management.
PLO03 Bilgi - Kuramsal, Olgusal Understands advanced computing fields such as data science, artificial intelligence, and machine learning.
PLO04 - Learn about topics such as computer networks, cyber security, and database design.
PLO05 Beceriler - Bilişsel, Uygulamalı Develops skills in designing, implementing and analyzing algorithms.
PLO06 Beceriler - Bilişsel, Uygulamalı Gains the ability to use different programming languages effectively 5
PLO07 Beceriler - Bilişsel, Uygulamalı Learns data analysis, database management and big data processing skills.
PLO08 Beceriler - Bilişsel, Uygulamalı Gains practical experience by working on software development projects.
PLO09 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Strengthens collaboration and communication skills within the team.
PLO10 Yetkinlikler - Alana Özgü Yetkinlik It provides a mindset open to technological innovations.
PLO11 Yetkinlikler - Öğrenme Yetkinliği Encourages continuous learning and self-improvement competence.
PLO12 Yetkinlikler - İletişim ve Sosyal Yetkinlik Develops the ability to solve complex problems.


Week Plan

Week Topic Preparation Methods
1 Introduction to Object Oriented Programming Reading the lecture notes Öğretim Yöntemleri:
Anlatım
2 Introduction to classes Reading the lecture notes Öğretim Yöntemleri:
Anlatım
3 Passing objects to functions, and returning objects from functions Reading the lecture notes Öğretim Yöntemleri:
Anlatım
4 Arrays, pointers and references Reading the lecture notes Öğretim Yöntemleri:
Anlatım
5 Function overloading Reading the lecture notes Öğretim Yöntemleri:
Anlatım
6 Operator overloading Reading the lecture notes Öğretim Yöntemleri:
Anlatım
7 Inheritance Reading the lecture notes Öğretim Yöntemleri:
Anlatım
8 Mid-Term Exam Ölçme Yöntemleri:
Yazılı Sınav
9 Virtual functions Reading the lecture notes Öğretim Yöntemleri:
Anlatım
10 Polymorphism Reading the lecture notes Öğretim Yöntemleri:
Anlatım
11 Templates Reading the lecture notes Öğretim Yöntemleri:
Anlatım
12 Exception handling Reading the lecture notes Öğretim Yöntemleri:
Anlatım
13 Run-time type identification Reading the lecture notes Öğretim Yöntemleri:
Anlatım
14 Casting operators Reading the lecture notes Öğretim Yöntemleri:
Anlatım
15 Namespaces and Conversion Functions Reading the lecture notes Öğretim Yöntemleri:
Anlatım
16 Term Exams Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 4 56
Out of Class Study (Preliminary Work, Practice) 14 4 56
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 18 18
Final Exam 1 18 18
Total Workload (Hour) 148
Total Workload / 25 (h) 5,92
ECTS 6 ECTS

Update Time: 22.04.2026 10:07