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 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, 7th 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 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
Major Area Courses
Supportive Courses X
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 Gain sufficient knowledge in mathematics, science and computing; be able to use theoretical and applied knowledge in these areas to solve engineering problems related to information systems.
2 To be able to identify, define, formulate and solve complex engineering problems; to be able to select and apply appropriate analysis and modeling methods for this purpose. X
3 Designs a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; applies modern design methods for this purpose. X
4 To be able to develop, select and use modern techniques and tools required for the analysis and solution of complex problems encountered in information systems engineering applications; to be able to use information technologies effectively. X
5 Designs and conducts experiments, collects data, analyzes and interprets results to investigate complex engineering problems or research topics specific to the discipline of information systems engineering.
6 Can work effectively in disciplinary and multidisciplinary teams; can work individually.
7 a. Communicates effectively both orally and in writing; writes effective reports and understands written reports, prepares design and production reports, makes effective presentations, gives and receives clear and understandable instructions. b. Knows at least one foreign language.
8 To be aware of the necessity of lifelong learning; to be able to access information, to be able to follow developments in science and technology and to be able to renew himself/herself continuously.
9 a. Acts in accordance with the principles of ethics, gains awareness of professional and ethical responsibility. b. Gains knowledge about the standards used in information systems engineering applications.
10 a. Gains knowledge about business life practices such as project management, risk management and change management. b. Gains awareness about entrepreneurship and innovation. c. Gains knowledge about sustainable development.
11 a. To be able to acquire knowledge about the universal and social effects of information systems engineering applications on health, environment and safety and the problems of the era reflected in the field of engineering. b. Gains awareness of the legal consequences of engineering solutions.

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