Course Name Code Semester T+U Hours Credit ECTS
Object Oriented Programming Languages BSM 515 0 3 + 0 3 6
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level yuksek_lisans
Course Type Optional
Course Coordinator Prof.Dr. ÜMİT KOCABIÇAK
Course Lecturers
Course Assistants
Course Category
Course Objective Object oriented design approach is one of the best methods to make high quality software. The aim of the course is to make students to learn how to use object oriented modeling and design for developing high quality software. Students will learn theoretical information and do comprehensive projects to gain experience.
Course Content Object oriented programming concepts, Design Patterns, UML, Java, C#
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Object oriented programming concepts Lecture, Drilland Practice, Project Based Learning, Testing, Homework,
2 Design Patterns Lecture, Drilland Practice, Project Based Learning, Testing, Homework,
3 UML Lecture, Drilland Practice, Project Based Learning, Testing, Homework,
4 Java programming language Lecture, Drilland Practice, Project Based Learning, Testing, Homework, Project / Design,
5 C# programming language
Week Course Topics Preliminary Preparation
1 Object oriented approach´s basic concepts
2 Class, Object, Inheritance, polymorphism, dynamic binding
3 Abstract class and interface
4 UML
5 Design Patterns
6 Design Patterns
7 Design Patterns
8 Applications with Java
9 Applications with Java
10 Applications with Java
11 Applications with C#
12 Applications with C#
13 Applications with C#
14 Other object oriented programming languages
Resources
Course Notes
Course Resources
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 ability to access wide and deep information with scientific researches in the field of Engineering, evaluate, interpret and implement the knowledge gained in his/her field of study X
2 ability to complete and implement “limited or incomplete data” by using the scientific methods. X
2 ability to complete and implement “limited or incomplete data” by using the scientific methods. X
3 ability to consolidate engineering problems, develop proper method(s) to solve and apply the innovative solutions to them X
3 ability to consolidate engineering problems, develop proper method(s) to solve and apply the innovative solutions to them X
4 ability to develop new and original ideas and method(s), to develop new innovative solutions at design of system, component or process X
4 ability to develop new and original ideas and method(s), to develop new innovative solutions at design of system, component or process X
5 gain comprehensive information on modern techniques, methods and their borders which are being applied to engineering X
5 gain comprehensive information on modern techniques, methods and their borders which are being applied to engineering X
6 ability to design and apply analytical, modelling and experimental based research, analyze and interpret the faced complex issues during the design and apply process X
6 ability to design and apply analytical, modelling and experimental based research, analyze and interpret the faced complex issues during the design and apply process X
7 gain high level ability to define the required information and data X
7 gain high level ability to define the required information and data X
8 ability to work in multi-disciplinary teams and to take responsibility to define approaches for complex situations X
8 ability to work in multi-disciplinary teams and to take responsibility to define approaches for complex situations X
9 systematic and clear verbal or written transfer of the process and results of studies at national and international environments X
9 systematic and clear verbal or written transfer of the process and results of studies at national and international environments X
10 aware of social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation and announcement X
10 aware of social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation and announcement
11 aware of new and developing application of profession and ability to analyze and study on those applications X
11 aware of new and developing application of profession and ability to analyze and study on those applications
12 ability to interpret engineering application’s social and environmental dimensions and it’s compliance with the social environment
12 ability to interpret engineering application’s social and environmental dimensions and it’s compliance with the social environment
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 50
1. Performans Görevi (Uygulama) 10
1. Kısa Sınav 10
1. Ödev 30
Total 100
1. Yıl İçinin Başarıya 50
1. Final 50
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 15 15
Assignment 2 10 20
Final examination 1 20 20
Total Workload 151
Total Workload / 25 (Hours) 6.04
dersAKTSKredisi 6