Software Patterns (SE461) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Software Patterns SE461 Area Elective 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type Elective Courses
Course Level Natural & Applied Sciences Master's Degree
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives The objective of this course is to introduce effective methods of design issues for high quality software systems. It also aims at teaching refactoring concepts.
Course Learning Outcomes The students who succeeded in this course;
  • Recognize and define common design patterns
  • Identify appropriate patterns for design problems
  • Apply refactoring to poorly designed software by using design patterns
  • Create code implementations of design patterns
  • Discuss implementation trade-offs of certain patterns with respect to others
Course Content Introduction to design patterns, creational patterns, structural patterns, behavioural patterns, analysis patterns, architectural patterns, testing, refactoring.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Overview of Object-oriented design Lecture Notes
2 Overview of UML Lecture Notes
3 Introduction to design patterns Chapter 1
4 Observer Pattern Chapter 2
5 Decorator Pattern Chapter 3
6 Factory Method and Abstract Factory Pattern Chapter 4
7 Singleton Pattern Chapter 5
8 Command Pattern Chapter 6
9 Adapter and Façade Patterns Chapter 7
10 Template Method Pattern Chapter 8
11 Iterator and Composite Pattern Chapter 9
12 State Pattern Chapter 10
13 Proxy Pattern Chapter 11
14 Compound Patterns and MVC Chapter 12
15 Antipatterns Lecture Notes
16 Refactoring Lecture Notes
17 Final Exam

Sources

Course Book 1. Head First Design Patterns, O’Reilly, Eric Freeman, Elisabeth Freeman, Kathy Sierra, Bert Bates, First Edition October 2004
Other Sources 2. Design Patterns: Elements of Reusable Object Oriented Software, E. Gamma, R. Helm, R. Johnson, and J. Vlissides, Addison -Wesley Professional, 1995
3. Analysis Patterns: Reusable Object Models, Martin Fowler, (1996-11-27). Addison-Wesley
4. Pattern-Oriented Software Architecture: A System of Patterns, Buschmann F., Meunier R., Rohnert H. & Sommerlad P. & Stal M. (1996), John Wiley & Sons
5. Applying UML and Patterns : An Introduction to Object-Oriented Analysis and Design and Iterative Development, Craig Larman, 3rd Edition, Prentice Hall, 2005
6. Joshua Kerievsky, Refactoring to Patterns, Addison-Weslay Professional, 2004.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments - -
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 45
Final Exam/Final Jury 1 55
Toplam 2 100
Percentage of Semester Work 45
Percentage of Final Work 55
Total 100

Course Category

Core Courses X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 An ability to apply advanced knowledge of computing and/or informatics to solve software engineering problems.
2 Develop solutions using different technologies, software architectures and life-cycle approaches.
3 An ability to design, implement and evaluate a software system, component, process or program by using modern techniques and engineering tools required for software engineering practices.
4 An ability to gather/acquire, analyze, interpret data and make decisions to understand software requirements.
5 Skills of effective oral and written communication and critical thinking about a wide range of issues arising in the context of working constructively on software projects.
6 An ability to access information in order to follow recent developments in science and technology and to perform scientific research or implement a project in the software engineering domain.
7 An understanding of professional, legal, ethical and social issues and responsibilities related to Software Engineering.
8 Skills in project and risk management, awareness about importance of entrepreneurship, innovation and long-term development, and recognition of international standards of excellence for software engineering practices standards and methodologies.
9 An understanding about the impact of Software Engineering solutions in a global, environmental, societal and legal context while making decisions.
10 Promote the development, adoption and sustained use of standards of excellence for software engineering practices.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 16 2 32
Presentation/Seminar Prepration
Project
Report
Homework Assignments
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 18 18
Prepration of Final Exams/Final Jury 1 23 23
Total Workload 121