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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS CSC 3202 OBJECT ORIENTED PROGRAMMING ELECTIVE 4 0 0 7

Offered By

Mathematics (English)

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

DOCTOR VOLKAN ÖĞER

Offered to

Mathematics (Evening) Mathematics (English)

Course Objective

Understand the concepts of Object Oriented Programming, use Python programming language to develop classes and write object oriented programs, re-use existing classes and templates to write object oriented programs.

Learning Outcomes of the Course Unit

1   To have understanding about the concept of 'Object'. 2   To have understanding about the concepts 'attribute' and 'method'. 3   Ability to create a custom object in Python programming language. 4   To have understanding about the concept of 'inheritance'. 5   Have ability to code mathematical computation problems by using OOP.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Reminding Algorithms and Programming - 1. 2 Reminding Algorithms and Programming - 2. 3 Introduction to concept of 'Object'. 'Class' and 'Attributes', creation an Object example 1. 4 'Class' and 'Attribute', creation an Object example 2. 5 Class as an attribute. 6 'Method', creation an Object example 1(contunie). 7 'Method', creation an Object example 2(contunie). 8 Midterm Exam and disscussion about it. 9 Encapsulation in Python and Get/Set methods. 10 Concept of Inheritance. Inheritance in Python. Inheritance example 1. 11 Inheritance example 2. 12 An example for Object Oriented Programming in Python - 1. 13 An example for Object Oriented Programming in Python - 1. 14 Quiz and disscussion about it. 15 An application of Object Oriented Programming for a mathematical Porblem.

Recomended or Required Reading

Textbook(s): Object-oriented programming in Python / Michael H. Goldwasser, Michael H. Goldwasser, David Letscher

Planned Learning Activities and Teaching Methods

Teaching subject and doing its application.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 QUZ QUIZ 3 FIN FINAL EXAM 4 FCG FINAL COURSE GRADE MTE * 0.30 + QUZ * 0.20 + FIN * 0.50 5 RST RESIT 6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + QUZ * 0.20 + RST * 0.50

Further Notes About Assessment Methods

None

Assessment Criteria

If your final grade or average is lower than 20, you will be excluded from evaluation and fail (FF).

Language of Instruction

English

Course Policies and Rules

Attendance to class is very important.

Contact Details for the Lecturer(s)

volkan.oger@deu.edu.tr

Office Hours

Will be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 14 4 56 Preparation before/after weekly lectures 14 2,5 42 Preparation for Mid-term Exam 1 20 20 Preparation for Final Exam 1 25 25 Preparation for Quiz etc. 1 20 20 Final 1 2 2 Mid-term 1 2 2 Ouiz etc. 1 1 1 TOTAL WORKLOAD (hours) 168

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 PO.10 PO.11 PO.12 PO.13 LO.1 4 2 5 4 3 LO.2 5 3 2 3 LO.3 3 3 5 3 4 4 LO.4 5 3 5 LO.5 5