Ph.D. In Computer Engineering

CE 611 | Course Introduction and Application Information

Course Name

Design Patterns and Code Refactoring

Code	Semester	Theory (hour/week)	Application/Lab (hour/week)	Local Credits	ECTS
CE 611	Fall/Spring	3	0	3	7.5

Prerequisites	None
Course Language	English
Course Type	Elective
Course Level	Third Cycle
Mode of Delivery	-
Teaching Methods and Techniques of the Course	-
National Occupation Classification	-
Course Coordinator	-
Course Lecturer(s)	Doç. Dr. Kaya OĞUZ Yrd. Doç. Dr. Ufuk ÇELİKKAN
Assistant(s)	-

Course Objectives

The goal of this course is an in depth study of design patterns and code refactoring. Design Patterns enable software professionals to avoid designing solutions from scratch which have been worked before, while refactoring studies techniques to root out bugs and identify and correct poorly structured code without changing the external behavior of the system. Design patterns improve the design “before code is written”, refactoring improves the design “after code is written”. Both design patterns and refactoring techniques allow the development of complex maintainable and extensible software systems. The pros and cons of each technique will be discussed and the students shall get an opportunity to apply these techniques through hands-on assignments

Learning Outcomes

#	Content	PC Sub	* Contribution Level
#	Content	PC Sub	1	2	3	4	5
1	describe the form and content of design patterns,
2	determine what is not included in the patterns and how they fit into software design,
3	identify and choose the appropriate design pattern and apply it to software solutions,
4	use refactoring to improve design and make existing applications more maintainable and extendible,
5	choose the appropriate type of refactoring technique to solve specific problems.

Course Description

This course is an in depth study of design patterns and code refactoring techniques which is used to develop complex, maintainable and extendible sofware systems.

Course Category	Core Courses
	Major Area Courses	X
	Supportive Courses
	Media and Management Skills Courses
	Transferable Skill Courses

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week	Subjects	Related Preparation	Learning Outcome
1	Introduction to Software, Software Design, UML, Design Patterns, and Refactoring	Chapter 1 Design Patterns.
2	Structural Design Patterns 1	-
3	Structural Design Patterns 2	-
4	Creational Design Patterns 1	-
5	Creational Design Patterns 2	-
6	Behavioral Design Patterns 1	-
7	Behavioral Design Patterns 2
8	Presentation 1 - Patterns in the Literature
9	Midterm	-
10	Test Driven Development	-
11	Refactoring 1	-
12	Refactoring 2	-
13	Refactoring 3
14	Presentation 2 - Refactoring in the Literature
15	Review
16	Final

Course Notes/Textbooks	“Design patterns: Elements of Reusable Object-Oriented Software” by E. Gamma, R. Helm, R. Johnson and J. Vlissides.Addison-Wesley. 1995. ISBN-13: 978-0-201-63361, ISBN-10: 0-201-63361-2 “Refactoring, Improving the design of existing code” by Martin Fowler, Kent Beck, John Brant, William Opdyke, Don Roberts. 1999 ISBN-13: 978-0-201-48567-7, ISBN-10: 0-201-48567-2
Suggested Readings/Materials	Instructor slides.

EVALUATION SYSTEM

Semester Activities	Number	Weighting	LO 1	LO 2	LO 3	LO 4	LO 5
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments	2	10
Presentation / Jury	2	10
Project	1	20
Seminar / Workshop
Oral Exams
Midterm	1	20
Final Exam	1	40
Total

Weighting of Semester Activities on the Final Grade	3	70
Weighting of End-of-Semester Activities on the Final Grade	1	30
Total

ECTS / WORKLOAD TABLE

Semester Activities	Number	Duration (Hours)	Workload
Theoretical Course Hours (Including exam week: 16 x total hours)	16	3	48
Laboratory / Application Hours (Including exam week: '.16.' x total hours)	16		0
Study Hours Out of Class	14	4	56
Field Work			0
Quizzes / Studio Critiques			0
Portfolio			0
Homework / Assignments	2	10	20
Presentation / Jury	2	20	40
Project	1	20	20
Seminar / Workshop			0
Oral Exam			0
Midterms	1	21	21
Final Exam	1	40	40
		Total	245

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#	PC Sub	Program Competencies/Outcomes	* Contribution Level
#	PC Sub	Program Competencies/Outcomes	1	2	3	4	5
1	Understands and applies the foundational theories of Computer Engineering in a high level.		-	-	-	-	X
2	Possesses a great depth and breadth of knowledge about Computer Engineering including the latest developments.		-	-	-	X	-
3	Can reach the latest information in Computer Engineering and possesses a high level of proficiency in the methods and abilities necessary to comprehend it and conduct research with it.		-	-	-	X	-
4	Conducts a comprehensive study that introduces innovation to science and technology, develops a new scientific procedure or a technological product/process, or applies a known method in a new field.		-	-	-	X	-
5	Independently understands, designs, implements and concludes a unique research process in addition to managing it.		-	-	-	X	-
6	Contributes to science and technology literature by publishing the output of his/her academic studies in respectable academic outlets.		-	-	-	X	-
7	Interprets scientific, technological, social and cultural developments and relates them to the general public with a commitment to scientific objectivity and ethical responsibility.		-	-	-	-	-
8	Performs critical analysis, synthesis and evaluation of ideas and developments in Computer Engineering.		-	-	X	-	-
9	Performs verbal and written communications with professionals as well as broader scientific and social communities in Computer Engineering, by using English at least at the European Language Portfolio C1 General level, performs written, oral and visual communications and discussions in a high level.		-	-	X	-	-
10	Develops strategies, policies and plans about systems and topics that Computer Engineering uses, and interprets the outcomes.		-	-	-	-	-