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 Bachelor’s Degree (First Cycle)
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 4 30
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 30
Final Exam/Final Jury 1 40
Toplam 6 100
Percentage of Semester Work 60
Percentage of Final Work 40
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 Has adequate knowledge in mathematics, science, and computer engineering-specific subjects; uses theoretical and practical knowledge in these areas to solve complex engineering problems. X
2 Identifies, defines, formulates, and solves complex engineering problems; selects and applies appropriate analysis and modeling methods for this purpose. X
3 Designs a complex system, process, device, or product to meet specific requirements under realistic constraints and conditions; applies modern design methods for this purpose. X
4 Develops, selects, and uses modern techniques and tools necessary for the analysis and solution of complex problems encountered in computer engineering applications; uses information technologies effectively. X
5 Designs experiments, conducts experiments, collects data, analyzes and interprets results for the investigation of complex engineering problems or research topics specific to the discipline of computer engineering. X
6 Works effectively in disciplinary and multidisciplinary teams; gains the ability to work individually. X
7 Communicates effectively in Turkish, both orally and in writing; writes effective reports and understands written reports, prepares design and production reports, makes effective presentations, gives and receives clear and understandable instructions.
8 Knows at least one foreign language; writes effective reports and understands written reports, prepares design and production reports, makes effective presentations, gives and receives clear and understandable instructions.
9 Has awareness of the necessity of lifelong learning; accesses information, follows developments in science and technology, and continuously improves oneself. X
10 Acts in accordance with ethical principles and has awareness of professional and ethical responsibility. X
11 Has knowledge about the standards used in computer engineering applications.
12 Has knowledge about workplace practices such as project management, risk management, and change management. X
13 Gains awareness about entrepreneurship and innovation.
14 Has knowledge about sustainable development.
15 Has knowledge about the health, environmental, and safety impacts of computer engineering applications in universal and societal dimensions and the contemporary issues reflected in the field of engineering. X
16 Gains awareness of the legal consequences of engineering solutions.
17 Analyzes, designs, and expresses numerical computation and digital representation systems. X
18 Uses programming languages and appropriate computer engineering concepts to solve computational problems. X

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 4 4 16
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury
Prepration of Final Exams/Final Jury 1 15 15
Total Workload 111