ECTS - Fundamentals of Object-Oriented Programming

Fundamentals of Object-Oriented Programming (COMPE723) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Fundamentals of Object-Oriented Programming COMPE723 3 0 0 3 7.5
Pre-requisite Course(s)
COMPE112
Course Language English
Course Type N/A
Course Level Natural & Applied Sciences Master's Degree
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture.
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 will be introduced using the UML and C++ programming language.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introduction to OOP using UML Chapter 1 (Main text 1) Chapter 4 (Ref. Book 1)
2 Introduction to OOP using 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 6 (Main text 1)
15 Review
16 Review

Sources

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

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 5 15
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 2 50
Final Exam/Final Jury 1 35
Toplam 8 100
Percentage of Semester Work 65
Percentage of Final Work 35
Total 100

Course Category

Core Courses
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 knowledge of mathematics, science, and engineering. X
2 An ability to design and conduct experiments, as well as to analyze and interpret data. X
3 An ability to design a system, component, or process to meet desired needs. X
4 An ability to function on multi-disciplinary domains. X
5 An ability to identify, formulate, and solve engineering problems. X
6 An understanding of professional and ethical responsibility. X
7 An ability to communicate effectively. X
8 Recognition of the need for, and an ability to engage in life-long learning. X
9 A knowledge of contemporary issues.
10 An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice. X
11 Skills in project management and recognition of international standards and methodologies X
12 An ability to produce engineering products or prototypes that solve real-life problems. X
13 Skills that contribute to professional knowledge. X
14 An ability to make methodological scientific research. X
15 An ability to produce, report and present an original or known scientific body of knowledge.
16 An ability to defend an originally produced idea.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours)
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 16 3 48
Presentation/Seminar Prepration
Project
Report
Homework Assignments 5 10 50
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 2 20 40
Prepration of Final Exams/Final Jury 1 40 40
Total Workload 178