ECTS - Object-Oriented Programming

Object-Oriented Programming (CMPE225) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Object-Oriented Programming CMPE225 3. Semester 3 2 0 4 8
Pre-requisite Course(s)
CMPE114
Course Language English
Course Type Compulsory Departmental Courses
Course Level Natural & Applied Sciences Master's Degree
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Question and Answer, Drill and Practice.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives The course teaches how to generate abstractions to represent a class of objects sharing a set of attributes or behavioral traits. In this course, the students are introduced to a method of programming that seeks to mimic the way we form models of the world using UML. By using these abstractions the students get a chance to apply the three main properties of object-oriented languages; namely, encapsulation, inheritance and polymorphism using the C++ language.
Course Learning Outcomes The students who succeeded in this course;
  • Explain method of programming that seeks to mimic the way we form models of the world using UML
  • Apply encapsulation, inheritance, polymorphism
  • Use function and operator overloading
  • Employ exception handling
  • Apply function and class templates
  • Employ object oriented approach to program development
Course Content Data types, expressions and statements, functions and scope rules, class definitions, inheritance, polymorphism, name overloading, templates, exception handling; input/output; object oriented principles using the UML and C++ programming language.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introduction to OOP Chapter 1 (Main text 1) Chapter 4 (Ref. Book 1)
2 Object Oriented Paradigm and UML Chapter 5,12 (Ref. Book 1)
3 From C to C++ (I/O, default parameters, function templates and overloading) Chapter 2, 4 (Main text 1)
4 Classes and Data Abstraction Chapter 10 (Main text 1)
5 Classes and Data Abstraction Chapter 10 (Main text 1)
6 Operator Overloading Chapter 11 (Main text 1)
7 Inheritance Chapter 15 (Main Text 1)
8 Inheritance Chapter 15 (Main Text 1)
9 Virtual Functions and Polymorphism Chapter 15 (Main Text 1)
10 Virtual Functions and Polymorphism Chapter 15 (Main Text 1)
11 Input/Output Chapter 6 (Main Text 1)
12 Templates Chapter 17 (Main Text 1)
13 Exception Handling Chapter 16 (Main Text 1)
14 File Processing Chapter 16 (Main Text 1)
15 Review
16 Review

Sources

Course Book 1. Problem Solving with C++, Walter Savitch, Addison-Wesley Publishing, 7th Edition.
Other Sources 2. Object Oriented Systems Analysis and Design using UML, Bennett, McRobb & Farmer, 4th Ed., McGraw Hill, 2010
3. C++: How To Program, H.M. Deitel and P.J. Deitel,Prentice-Hall, 6th Edition.
4. C++ Programming: From Problem Analysis to Program Design, D.S. Malik, Course Technology, 4th Edition.
5. A Complete Guide to Programming in C++,Ulla Kirch-Prinz, Peter Prinz, Jones and Bartlett Publishers,1st Edition.
6. The C++ Programming Language, B.Stroustrup, Addison-Wesley 3rd Edition.
7. Practical C++ Programming, S. Oualline, O'Reilly Media, Inc.; , 2nd Edition

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory 2 25
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 2 10
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 30
Final Exam/Final Jury 1 35
Toplam 6 100
Percentage of Semester Work 65
Percentage of Final Work 35
Total 100

Course Category

Core Courses X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 An ability to apply advanced knowledge of computing and/or informatics to solve software engineering problems.
2 Develop solutions using different technologies, software architectures and life-cycle approaches.
3 An ability to design, implement and evaluate a software system, component, process or program by using modern techniques and engineering tools required for software engineering practices.
4 An ability to gather/acquire, analyze, interpret data and make decisions to understand software requirements.
5 Skills of effective oral and written communication and critical thinking about a wide range of issues arising in the context of working constructively on software projects.
6 An ability to access information in order to follow recent developments in science and technology and to perform scientific research or implement a project in the software engineering domain.
7 An understanding of professional, legal, ethical and social issues and responsibilities related to Software Engineering.
8 Skills in project and risk management, awareness about importance of entrepreneurship, innovation and long-term development, and recognition of international standards of excellence for software engineering practices standards and methodologies.
9 An understanding about the impact of Software Engineering solutions in a global, environmental, societal and legal context while making decisions.
10 Promote the development, adoption and sustained use of standards of excellence for software engineering practices.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 5 80
Laboratory 2 4 8
Application
Special Course Internship
Field Work
Study Hours Out of Class 16 3 48
Presentation/Seminar Prepration
Project
Report
Homework Assignments 2 3 6
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 2 15 30
Prepration of Final Exams/Final Jury 1 30 30
Total Workload 202