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 2 0 4 8
Pre-requisite Course(s)
CMPE114
Course Language English
Course Type N/A
Course Level Bachelor’s Degree (First Cycle)
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 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, 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
7. Object Oriented Systems Analysis and Design using UML, Bennett, McRobb & Farmer, 4th Ed., McGraw Hill, 2010

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory 12 10
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 3 10
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 2 50
Final Exam/Final Jury 1 30
Toplam 18 100
Percentage of Semester Work 70
Percentage of Final Work 30
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 Adequate knowledge in mathematics, science and subjects specific to the computer engineering discipline; the ability to apply theoretical and practical knowledge of these areas to complex engineering problems. X
2 The ability to identify, define, formulate and solve complex engineering problems; selecting and applying proper analysis and modeling techniques for this purpose. X
3 The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. X
4 The ability to develop, select and utilize modern techniques and tools essential for the analysis and determination of complex problems in computer engineering applications; the ability to utilize information technologies effectively. X
5 The ability to design experiments, conduct experiments, gather data, analyze and interpret results for the investigation of complex engineering problems or research topics specific to the computer engineering discipline.
6 The ability to work effectively in inter/inner disciplinary teams; ability to work individually X
7 Effective oral and writen communication skills in Turkish; the knowledge of at least one foreign language; the ability to write effective reports and comprehend written reports, to prepare design and production reports, to make effective presentations, to give and to receive clear and understandable instructions.
8 Recognition of the need for lifelong learning; the ability to access information, to follow recent developments in science and technology.
9 The ability to behave according to ethical principles, awareness of professional and ethical responsibility; knowledge of the standards utilized in computer engineering applications.
10 Knowledge on business practices such as project management, risk management and change management; awareness about entrepreneurship, innovation; knowledge on sustainable development.
11 Knowledge on the effects of computer engineering applications on the universal and social dimensions of health, environment and safety; awareness of the legal consequences of engineering solutions.
12 An ability to describe, analyze and design digital computing and representation systems. X
13 An ability to use appropriate computer engineering concepts and programming languages in solving computing problems. X

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Laboratory 12 2 24
Application
Special Course Internship
Field Work
Study Hours Out of Class 16 4 64
Presentation/Seminar Prepration
Project
Report
Homework Assignments 3 3 9
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 2 15 30
Prepration of Final Exams/Final Jury 1 30 30
Total Workload 205