OBJECT ORIENTED PROGRAMMING PROGRAMME COURSE DESCRIPTION

Code	Name of the Course Unit	Semester	In-Class Hours (T+P)	Credit	ECTS Credit
COM201	OBJECT ORIENTED PROGRAMMING	3	5	4	8

GENERAL INFORMATION
Language of Instruction :	English
Level of the Course Unit :	BACHELOR'S DEGREE, TYY: + 6.Level, EQF-LLL: 6.Level, QF-EHEA: First Cycle
Type of the Course :	Compulsory
Mode of Delivery of the Course Unit	-
Coordinator of the Course Unit	Assist.Prof. SERKAN GÖNEN
Instructor(s) of the Course Unit
Course Prerequisite	No

OBJECTIVES AND CONTENTS
Objectives of the Course Unit:	This course aims to teach the student the concepts of object-oriented programming and to learn and develop object-oriented programs with the Python programming language. After completing this course, the student is expected to examine the original codes related to object-oriented programming for relevant applications and make changes to them.
Contents of the Course Unit:	Object-Oriented Programming (OOP) is a fundamental programming that organizes code around objects, which are instances of classes. Objects and classes, constructor, static variable, constants, methods, visibility modifiers, temporary objects, calling methods with objects, immutability, variable visibility, class abstraction, and wrapping, concepts of superclass and subclass, inheritance, multiple meanings, chewing, overloading, abstract class, object-oriented design.

KEY LEARNING OUTCOMES OF THE COURSE UNIT (On successful completion of this course unit, students/learners will or will be able to)
Core Programming Skills: Understand OOP Concepts, Create Classes and Objects, Design and Implement Systems, Use Inheritance and Polymorphism, Work with Access Modifiers.
Advanced Techniques: Encapsulate Data, Overloading and Overriding Methods, Manage Memory with Constructors/Destructors, Work with Abstract Classes and Interfaces, Handle Exceptions.
Design Patterns and Best Practices: Apply Design Patterns, Follow SOLID Principles, Implement Dependency Injection.
Practical Application: Work with UML Diagrams, Debug OOP Applications, Collaborate in Teams, Test Object-Oriented Systems.
Specialized Areas: Optimize Code for Performance, Work with Libraries and Frameworks,mHandle Object Persistence.

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY
Week	Preparatory	Topics(Subjects)	Method
1	The relevant section of the reference, additional resources, and lecture notes	Python Programming Language Basics: Introduction to Python, Why is Python so popular? Python packages, Anaconda, Python editors Resources, Installing Python, Python IDLE, First Python Program, Introduction to Object-Oriented Programming in Python (Primitive concepts and definitions);	Lecture presentation, Discussion(Question-Answer)
2	The relevant section of the reference, additional resources, and lecture notes	Python Basics: Integers, Floating-point numbers, Strings, Examples, Exercises;	Lecture presentation, Discussion(Question-Answer), Laboratory Exercises.
3	The relevant section of the reference, additional resources, and lecture notes	Variables and Scope: Variables, Modifying values, Type conversion, Answers to exercises;	Lecture presentation, Discussion(Question-Answer), Laboratory Exercises.
4	The relevant section of the reference, additional resources, and lecture notes	Selection Control Statements: Introduction, Selection: if statement, More on the if statement, Boolean values, operators and expressions, The None value, Examples, Exercises;	Lecture presentation, Discussion(Question-Answer), Laboratory Exercises.
5	The relevant section of the reference, additional resources, and lecture notes	Collections: Lists, Tuples, Sets, Ranges, Dictionaries, Converting between collection types, Two-dimensional sequences, Answers to exercises;	Lecture presentation, Discussion(Question-Answer), Laboratory Exercises.
6	The relevant section of the reference, additional resources, and lecture notes	Loop Control Statements: Introduction, The while statement, The for statement, Nested loops, Iterables, iterators and generators, Comprehensions, The break and continue statements, Examples, Exercises;	Lecture presentation, Discussion(Question-Answer), Laboratory Exercises.
7	The relevant section of the reference, additional resources, and lecture notes	Errors and Exceptions: Errors, Handling exceptions, Debugging programs, Logging, Answers to exercises;	Lecture presentation, Discussion(Question-Answer), Laboratory Exercises.
8	-	MID-TERM EXAM	-
9	The relevant section of the reference, additional resources, and lecture notes	Functions: Introduction, Input parameters, Return values, The stack, Default parameters, *args and **kwargs, Decorators, Lambdas, Generator functions and yield, Answers to exercises;	Lecture presentation, Discussion(Question-Answer), Laboratory Exercises.
10	The relevant section of the reference, additional resources, and lecture notes	Classes: Defining and using a class, Instance attributes, Class attributes, Class decorators, Inspecting an object, Overriding magic methods, and Answers to exercises;	Lecture presentation, Discussion(Question-Answer), Laboratory Exercises.
11	The relevant section of the reference, additional resources, and lecture notes	Object-oriented Programming: Introduction, Composition, Inheritance, More about inheritance, Avoiding inheritance, Answers to exercises;	Lecture presentation, Discussion(Question-Answer), Laboratory Exercises.
12	The relevant section of the reference, additional resources, and lecture notes	Packaging and Testing: Modules, Packages, Documentation, Testing, Examples, Exercises;	Lecture presentation, Discussion(Question-Answer), Laboratory Exercises.
13	The relevant section of the reference, additional resources, and lecture notes	Useful Modules in the Standard Library: Date and time: datetime, Mathematical functions: math, Pseudo-random numbers: random, Matching string patterns: re, Parsing CSV files: CSV, Writing scripts: Answers to exercises;	Lecture presentation, Discussion(Question-Answer), Laboratory Exercises.
14	The relevant section of the reference, additional resources, and lecture notes	Introduction to GUI Programming with Tkinter: Event-driven programming, Tkinter basics, Layout options, Custom events, Putting it all together, Examples, Exercises;	Lecture presentation, Discussion(Question-Answer), Laboratory Exercises.
15	The relevant section of the reference, additional resources, and lecture notes	Sorting, Searching, and Algorithm Analysis: Introduction, Sorting Algorithms, Searching Algorithms, Algorithm Complexity, Complexities of common operations in Python, Answers to exercises;	Lecture presentation, Discussion(Question-Answer), Laboratory Exercises.
16	-	FINAL EXAM	-
17	-	FINAL EXAM	-

SOURCE MATERIALS & RECOMMENDED READING
Main Reference: Object-Oriented Programming in Python Documentation, Hans-Petter Halvorsen, 2013.
Lecture Notes and Presentations, Asst. Prof. Zeinab HASSANZADEH , 2024-2025 Fall Semester.
- Python 3 Object-oriented Programming, Dusty Phillips, Second Edition, Published by Packt Publishing Ltd, ISBN: 978-1-78439-878-1.
https://www.udemy.com/course/python-object-oriented-programming-oop/?utm_source=adwords&utm_medium=udemyads&utm_campaign=Search_DSA_Alpha_Prof_la.EN_cc.ROWEnglish&campaigntype=Search&portfolio=ROW
Main Reference: Object-Oriented Programming in Python Documentation, Hans-Petter Halvorsen, 2013.
Lecture Notes and Presentations, Asst. Prof. Zeinab HASSANZADEH , 2024-2025 Fall Semester.
- Python 3 Object-oriented Programming, Dusty Phillips, Second Edition, Published by Packt Publishing Ltd, ISBN: 978-1-78439-878-1.
https://www.udemy.com/course/python-object-oriented-programming-oop/?utm_source=adwords&utm_medium=udemyads&utm_campaign=Search_DSA_Alpha_Prof_la.EN_cc.ROWEnglish&campaigntype=Search&portfolio=ROW
Yardımcı Kaynak: - Python 3 Object-oriented Programming, Dusty Phillips, Second Edition, Published by Packt Publishing Ltd, ISBN: 978-1-78439-878-1.
https://www.udemy.com/course/python-object-oriented-programming-oop/?utm_source=adwords&utm_medium=udemyads&utm_campaign=Search_DSA_Alpha_Prof_la.EN_cc.ROWEnglish&campaigntype=Search&portfolio=ROW

ASSESSMENT
Assessment & Grading of In-Term Activities	Number of Activities	Degree of Contribution (%)	Description

Level of Contribution
0	1	2	3	4	5

KNOWLEDGE
Theoretical
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Ability to identify, analyze, design, model and solve complex engineering problems based on engineering, science and mathematics fundamentals

KNOWLEDGE
Factual
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Ability to apply engineering design to produce solutions that meet specific needs, taking into account global, cultural, social, environmental and economic factors as well as public health, safety and well-being

SKILLS
Cognitive
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Ability to communicate effectively with various stakeholders

SKILLS
Practical
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	The ability to recognize ethical and professional responsibilities in engineering and make informed decisions considering the impact of engineering solutions in their global, economic, environmental and social contexts

OCCUPATIONAL
Autonomy & Responsibility
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	The ability to recognize ethical and professional responsibilities in engineering and make informed decisions considering the impact of engineering solutions in their global, economic, environmental and social contexts

OCCUPATIONAL
Learning to Learn
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Ability to acquire new knowledge and find ways to apply it when necessary, using appropriate learning strategies

OCCUPATIONAL
Communication & Social
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Ability to work effectively in a team where its members lead together, create a collaborative and inclusive environment, set goals, plan tasks, and meet goals

OCCUPATIONAL
Occupational and/or Vocational
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Ability to design and conduct appropriate experiments, analyze and interpret data, and apply engineering principles to draw conclusions

WORKLOAD & ECTS CREDITS OF THE COURSE UNIT
Workload for Learning & Teaching Activities
Type of the Learning Activites	Learning Activities (# of week)	Duration (hours, h)	Workload (h)
Lecture & In-Class Activities	14	5	70
Preliminary & Further Study	3	1	3
Land Surveying	3	4	12
Group Work	1	3	3
Laboratory	3	5	15
Reading	1	3	3
Assignment (Homework)	6	2	12
Project Work	3	4	12
Seminar	0	0	0
Internship	0	0	0
Technical Visit	1	1	1
Web Based Learning	0	0	0
Implementation/Application/Practice	3	4	12
Practice at a workplace	1	1	1
Occupational Activity	1	1	1
Social Activity	1	5	5
Thesis Work	5	10	50
Field Study	0	0	0
Report Writing	2	2	4
Final Exam	1	2	2
Preparation for the Final Exam	0	0	0
Mid-Term Exam	1	1	1
Preparation for the Mid-Term Exam	0	0	0
Short Exam	1	1	1
Preparation for the Short Exam	0	0	0
TOTAL	51	0	208