Software Patterns (SE461) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Software Patterns SE461 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type N/A
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 Adequate knowledge in mathematics, science and subjects specific to the computer engineering discipline; the ability to apply theoretical and practical knowledge of these areas to complex engineering problems. X
2 The ability to identify, define, formulate and solve complex engineering problems; selecting and applying proper analysis and modeling techniques for this purpose. X
3 The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. X
4 The ability to develop, select and utilize modern techniques and tools essential for the analysis and determination of complex problems in computer engineering applications; the ability to utilize information technologies effectively. X
5 The ability to design experiments, conduct experiments, gather data, analyze and interpret results for the investigation of complex engineering problems or research topics specific to the computer engineering discipline. X
6 The ability to work effectively in inter/inner disciplinary teams; ability to work individually X
7 Effective oral and writen communication skills in Turkish; the ability to write effective reports and comprehend written reports, to prepare design and production reports, to make effective presentations, to give and to receive clear and understandable instructions.
8 The knowledge of at least one foreign language; the ability to write effective reports and comprehend written reports, to prepare design and production reports, to make effective presentations, to give and to receive clear and understandable instructions.
9 Recognition of the need for lifelong learning; the ability to access information, to follow recent developments in science and technology. X
10 The ability to behave according to ethical principles, awareness of professional and ethical responsibility; X
11 Knowledge of the standards utilized in software engineering applications
12 Knowledge on business practices such as project management, risk management and change management; X
13 Awareness about entrepreneurship, innovation
14 Knowledge on sustainable development
15 Knowledge on the effects of computer engineering applications on the universal and social dimensions of health, environment and safety; X
16 Awareness of the legal consequences of engineering solutions
17 An ability to describe, analyze and design digital computing and representation systems. X
18 An ability to use appropriate computer engineering concepts and programming languages in solving computing 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