Advance Object Oriented Programming

Course Code:

COMP 322

Course Type:

Area Elective

P:

3

Lab:

0

Credits:

3

ECTS:

6

Course Language:

İngilizce

Course Objectives:

Introduce the principles of object-oriented programming in a higher-level programming language, such as Python or Java. Analyze a problem statement to develop a mental model of objects necessary to create a software architecture. Utilize object-oriented programming to frame software architectures, with care towards separation of concerns and abstraction. Gain skills in designing, and programming software for reuse of code. Establish development methods in object-oriented programming to qualify students for teaching the language in other settings

Course Content:

Applications to system administration, advance data structures, networking, database applications, socket-programming, advance concept in python.

Course Methodology:

1: Anlatım, 2: Soru-Cevap, 3: Tartışma, 4: Simulasyon, 5: Durum Çalışması

Course Evaluation Methods:

A: Sınav B: Presentasyon, C: Ödev, D: Proje, E: Laboratuar

Vertical Tabs

Course Learning Outcomes

Learning Outcomes	Program Learning Outcomes	Teaching Methods	Assessment Methods
Develop understanding of writing object-oriented programs that combine functions and data.	2,4,6	1,5	C,E
Analyze a problem statement to develop a mental model of objects necessary to create a software architecture	2,4,6	1,2	C, E
Translate abstract concepts into Class's in software	2,4,6	1,2,5	A,E
Apply the object-oriented programming language to develop software, including programs utilizing multiple Class's	2,4,6	1,2,3	A, C
Instruct others in the use of the object-oriented programming language	2,4,6	1,3	B, D
Combine previously written code into larger programs	2,4,6	4, 5	B,D

Course Flow

COURSE CONTENT
Week	Topics	Study Materials
1	Introduction to Course + Review of Basic OOP Concepts	Lecture Notes
2	Nested Class and Lambda Expresions	Lecture Notes
3	Database Programming	Lecture Notes
4	Java Beans Persistency	Lecture Notes
5	Exceptions	Lecture Notes
6	. Streams and Files	Lecture Notes
7	Data Encoding and Processing	Lecture Notes
8	Midterm Examination
9	Collections	Lecture Notes
10	. Generics	Lecture Notes
11	. Concurency	Lecture Notes
12	Socket Programming	Lecture Notes
13	Test Driven Software Development	Lecture Notes
14	Graphical User Interface Design
15	Final

Recommended Sources

RECOMMENDED SOURCES

Textbook

Michał Jaworski and Tarek Ziadé, Expert Python Programming Third Edition, Packt Publishing, 2019.

Luciano Ramalho, Fluent Python: Clear, Concise, and Effective Programming, O'Reilly Media, Inc.,2015.

David Beazley, Brian K. Jones, Python Cookbook, 3rd Edition, O'Reilly Media,2013.

Additional Resources

Online reference material at python.org

Material Sharing

Documents	Guidelines and additional examples for Lecture Topics
Assignments	Homework Assignments
Exams	Midterm Exam and Final Exam

Assessment

ASSESSMENT
IN-TERM STUDIES	NUMBER	PERCENTAGE
Homework assignment	10	50
Project presentation	1	30
Midterm Examination	1	20
Total		100
CONTRIBUTION OF FINAL EXAMINATION TO OVERALL GRADE		40
CONTRIBUTION OF IN-TERM STUDIES TO OVERALL GRADE		60
Total		100

ECTS

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
Activities	Quantity	Duration (Hour)	Total Workload (Hour)
Course Duration (Including the exam week: 16x Total course hours)	15	3	45
Hours for off-the-classroom study (Pre-study, practice)	15	3	45
Homework	10	2	20
Midterm Examination	1	2	2
Preparation of class presentation	1	13	13
			0
Total Work Load			125
Total Work Load / 25 (h)			5,00
ECTS Credit of the Course			5

None

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