Course Name Code Semester T+U Hours Credit ECTS
Object Oriented Programming SWE 104 2 3 + 0 3 5
Precondition Courses
Recommended Optional Courses
Course Language English
Course Level Bachelor's Degree
Course Type Compulsory
Course Coordinator Dr.Öğr.Üyesi GÜLÜZAR ÇİT
Course Lecturers Dr.Öğr.Üyesi GÜLÜZAR ÇİT,
Course Assistants
Course Category
Course Objective

This course aims to give basic knowledge about object oriented programming concept in software engineering. 

Course Content

This course gives class and object concepts, constructor and desrtuctors, single and multiple inheritance, UML, operator overloading, polymorphism, function overloading and function overriding with object oriented programming, respectively.

# Course Learning Outcomes Teaching Methods Assessment Methods
1 Nesneye dayalı programlama kavramının temel prensiplerini öğrenme Lecture, Case Study, Lab / Workshop, Self Study, Project Based Learning, Testing, Homework,
2 UML'de sınıf ve kullanıcı diyagramlarını çizme Lecture, Case Study, Lab / Workshop, Self Study, Project Based Learning, Testing, Homework,
Week Course Topics Preliminary Preparation
1 Course Presentation and Introduction
2 Introduction to Object Oriented Programming Concept
3 Introduction to Object Oriented Programming Concept
4 Control Statements, Loops and Functions
5 Classes, Access Contollers, Member Variable and Functions
6 Classes, Access Contollers, Member Variable and Functions
7 Inheritance, Multiple Inheritance and Interfaces
8 Inheritance, Multiple Inheritance and Interfaces
9 Polymorphism and Encapsulation
10 Polymorphism and Encapsulation
11 Static Member Variables and Functions
12 Const Class Objects, Member Variables and Functions
13 UML, UML Class Diyagrams, UML User Diaygrams
14 UML, UML Class Diyagrams, UML User Diaygrams
Resources
Course Notes
Course Resources

- Deitel, P., Deitel, H., Visual C# How to Program, Sixth Edition, Pearson, 2016.

Order Program Outcomes Level of Contribution
1 2 3 4 5
1 To have sufficient foundations on engineering subjects such as science and discrete mathematics, probability/statistics; an ability to use theoretical and applied knowledge of these subjects together for engineering solutions.
2 An ability to determine, describe, formulate and solve engineering problems; for this purpose, an ability to select and apply proper analytic and modeling methods,al background in describing, formulating, modeling and analyzing the engineering problem, with a consideration for appropriate analytical solutions in all necessary situations.
3 An ability to select and use modern techniques and tools for engineering applications; an ability to use information technologies efficiently.
4 An ability to analyze a system, a component or a process and design a system under real limits to meet desired needs; in this direction, an ability to apply modern design methods.
5 An ability to design, conduct experiment, collect data, analyze and comment on the results and consciousness of becoming a volunteer on research.
6 Understanding, awareness of administration, control, development and security/reliability issues about information technologies.
7 An ability to work efficiently in multidisciplinary teams, self confidence to take responsibility.
8 An ability to present himself/herself or a problem with oral/written techniques and have efficient communication skills; know at least one extra language.
9 An awareness about importance of lifelong learning; an ability to update his/her knowledge continuously by means of following advances in science and technology.
10 Understanding, practicing of professional and ethical responsibilities, an ability to disseminate this responsibility on society.
11 An understanding of project management, workplace applications, health issues of laborers, environment and job safety; an awareness about legal consequences of engineering applications.
12 An understanding universal and local effects of engineering solutions; awareness of entrepreneurial and innovation and to have knowledge about contemporary problems.
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 50
1. Ödev 10
2. Ödev 10
3. Ödev 10
4. Ödev 10
1. Kısa Sınav 5
2. Kısa Sınav 5
Total 100
1. Final 40
1. Yıl İçinin Başarıya 60
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 1 0 0
Course Duration (Including the exam week: 16x Total course hours) 16 0 0
Course Duration (Including the exam week: 16x Total course hours) 16 4 64
Course Duration (Including the exam week: 16x Total course hours) 16 4 64
Hours for off-the-classroom study (Pre-study, practice) 16 0 0
Course Duration (Including the exam week: 16x Total course hours) 16 4 64
Hours for off-the-classroom study (Pre-study, practice) 16 4 64
Course Duration (Including the exam week: 16x Total course hours) 16 4 64
Hours for off-the-classroom study (Pre-study, practice) 16 4 64
Mid-terms 1 0 0
Course Duration (Including the exam week: 16x Total course hours) 16 4 64
Hours for off-the-classroom study (Pre-study, practice) 16 4 64
Mid-terms 1 5 5
Course Duration (Including the exam week: 16x Total course hours) 16 4 64
Hours for off-the-classroom study (Pre-study, practice) 16 4 64
Mid-terms 1 5 5
Assignment 2 0 0
Course Duration (Including the exam week: 16x Total course hours) 16 4 64
Hours for off-the-classroom study (Pre-study, practice) 16 4 64
Mid-terms 1 5 5
Assignment 2 1 2
Course Duration (Including the exam week: 16x Total course hours) 16 4 64
Hours for off-the-classroom study (Pre-study, practice) 16 4 64
Mid-terms 1 5 5
Assignment 2 10 20
Course Duration (Including the exam week: 16x Total course hours) 16 4 64
Hours for off-the-classroom study (Pre-study, practice) 16 4 64
Mid-terms 1 5 5
Assignment 2 10 20
Final examination 1 0 0
Course Duration (Including the exam week: 16x Total course hours) 16 4 64
Hours for off-the-classroom study (Pre-study, practice) 16 4 64
Mid-terms 1 5 5
Assignment 2 10 20
Final examination 1 3 3
Course Duration (Including the exam week: 16x Total course hours) 16 4 64
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 5 5
Assignment 2 10 20
Final examination 1 3 3
Course Duration (Including the exam week: 16x Total course hours) 16 4 64
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 3 3
Assignment 2 10 20
Final examination 1 3 3
Total Workload 1525
Total Workload / 25 (Hours) 61
dersAKTSKredisi 5