Course Name Code Semester T+U Hours Credit ECTS
Object Oriented Programming BSM 102 2 4 + 0 4 6
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level Bachelor's Degree
Course Type Compulsory
Course Coordinator Prof.Dr. CEMİL ÖZ
Course Lecturers Prof.Dr. ÜMİT KOCABIÇAK, Öğr.Gör.Dr. CAN YÜZKOLLAR, Prof.Dr. CEMİL ÖZ,
Course Assistants Res.Asst. Hüseyin ESKİ - Res.Asst. Deniz DURAL
Course Category
Course Objective The aim of the course is to teach the object oriented programming concepts for developing efficient and flexible software.
Course Content C#, Object oriented programming concepts, Graphical User Interfaces, Generics, Collections, LINQ, Files
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Understand the basics of C# programming language Lecture, Drilland Practice, Project Based Learning, Testing, Homework,
2 Understand the concepts of inheritance, encapsulation and polymorphism Lecture, Drilland Practice, Project Based Learning, Homework, Testing,
3 Windows Forms Lecture, Question-Answer, Testing, Homework,
4 Windows Presentation Foundation Lecture, Question-Answer, Testing, Homework,
Week Course Topics Preliminary Preparation
1 Introduction to C#
2 Control statements
3 Methods and arrays
4 Classes and objects
5 Inheritance, Polymorphism and Interfaces
6 Graphical User Interfaces with Windows Forms I
7 Graphical User Interfaces with Windows Forms II
8 Graphical User Interfaces with Windows Presentation Foundation
9 WPF Graphics and Multimedia
10 Exception handling
11 Files
12 LINQ
13 Generics
14 Collections
Resources
Course Notes Ü. Kocabıçak, C# Lecture Notes, 2009, Sakarya.
Course Resources 1.P.J. Deitel, H.M.Deitel, Visual C# 2008 How to Program, Third edition, Prentice Hall, 2009.
2.Herbert Schildt, The Complete C#, McGraw-Hill, 2007.
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, X
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 X
3 An ability to select and use modern techniques and tools for engineering applications; an ability to use information technologies efficiently, X
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, X
5 An ability to design, conduct experiment, collect data, analyze and comment on the results and consciousness of becoming a volunteer on research, X
6 Understanding, awareness of administration, control, development and security/reliability issues about information technologies, X
7 An ability to work efficiently in multidisciplinary teams, self confidence to take responsibility, X
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, X
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, X
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. X
Evaluation System
Semester Studies Contribution Rate
1. Ödev 10
2. Ödev 10
1. Proje / Tasarım 20
1. Ara Sınav 50
1. Kısa Sınav 10
Total 100
1. Yıl İçinin Başarıya 55
1. Final 45
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 4 64
Hours for off-the-classroom study (Pre-study, practice) 16 2 32
Mid-terms 1 10 10
Assignment 3 10 30
Final examination 1 15 15
Total Workload 151
Total Workload / 25 (Hours) 6.04
dersAKTSKredisi 6