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Object Oriented Programming (MAE647)

Object Oriented Programming (MAE647)

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Undergraduate Courses Outlines - Department of Mathematics

General

School

School of Science

Academic Unit

Department of Mathematics

Level of Studies

Undergraduate

Course Code

MAE647

Semester

6

Course Title

Object Oriented Programming

Independent Teaching Activities

Lectures, laboratory exercises, tutorials, quiz (Weekly Teaching Hours: 3, Credits: 6)

Course Type

Special Background

Prerequisite Courses -
Language of Instruction and Examinations

Greek

Is the Course Offered to Erasmus Students

Yes

Course Website (URL) -

Learning Outcomes

Learning outcomes

This course aims at introducing to students basic concepts and techniques related to object oriented programming. Introduction to object oriented programming, the notions of classes and objects in programming, Abstraction, Encapsulation, Modularity, Hierarchy. After successfully passing this course the students will be able to:

  • Understand basic programming techniques
  • Analyze complex programmes
  • Develop software systems that are valuable, reliable, and flexible.
General Competences
  • Search for, analysis and synthesis of data and information, with the use of the necessary technology
  • Working independently
  • Team work
  • Project planning and management

Syllabus

  • Introduction to object oriented programming
  • Classes and objects in programming
  • Properties and methods
  • Simple and multiple inheritance
  • Abstraction
  • Encapsulation
  • Modularity
  • Hierarchy and Composition

Teaching and Learning Methods - Evaluation

Delivery

Lectures

Use of Information and Communications Technology
  • Use of projector and interactive board during lectures.
  • Course website maintenance. Announcements and posting of teaching material (lecture slides and notes, programs).
  • Announcement of assessment marks via the ecourse platform by UOI.
Teaching Methods
Activity Semester Workload
Lectures 39
Working independently 78
Team work 33
Course total 150
Student Performance Evaluation
  • Final written examination (70%)
  • Exercises (30%)

Attached Bibliography

  • Software Engineering - Theory & Practice, S. L. Pfleeger, ISBN 978-960-461-477-6
  • Software Engineering, I. Sommerville, ISBN 978-960-461-220-8
  • Βασικές Αρχές Γλωσσών Προγραμματισμού, Ellis Horowitz, Εκδόσεις Κλειδάριθμος
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