FACULTY OF ENGINEERING

Department of Computer Engineering

SE 311 | Course Introduction and Application Information

Course Name
Software Architecture
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
SE 311
Fall/Spring
2
2
3
7

Prerequisites
  SE 116 To succeed (To get a grade of at least DD)
Course Language
English
Course Type
Elective
Course Level
First Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course -
Course Coordinator
Course Lecturer(s)
Assistant(s)
Course Objectives The goal of this course to arm the students with the knowledge needed in architecting effective and maintainable complex software systems of high quality by applying design patterns. Each pattern represents a best practice solution to a software problem in some context. The course will sensitize the student that there is rarely one "right" design and an engineer is faced with a spectrum of possibilities representing tradeoffs. The course will cover the rationale and benefits of design patterns in architecting software systems. The course includes a brief review of object-oriented design principles and UML. Programming assignments and a project in the Java language will provide experience in the use of these patterns.
Learning Outcomes The students who succeeded in this course;
  • Be able to state the intention of the pattern and show in UML notation,
  • Be able to identify the participants and their responsibilities,
  • Be able to contrast the difference in intentions between structurally similar patterns,
  • Be able to apply several appropriate patterns in the design of small programming assignments,
  • Be able to select appropriate design patterns to improve an existing design.
Course Description This course covers the principals behind the software design patterns and their application in constructing software components.

 



Course Category

Core Courses
Major Area Courses
Supportive Courses
Media and Management Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Related Preparation
1 Introduction to Design Patterns “Design patterns: Elements of Reusable Object-Oriented Software” by E. Gamma, R. Helm, R. Johnson and J. Vlissides. GHJV. Chapter 1.
2 A refresher on Object-Oriented Design and UML. Any book on object-oriented design and programming. Instructor notes.
3 Iterator Pattern (Behavioral) Design Patterns Gamma, Helm, Johnson and Vlissides (GHJV) pp 257 -271
4 Composite Pattern (Structural) Design Patterns GHJV pp 163 -173
5 Command Pattern (Behavioral) Design Patterns GHJV pp 233 -242
6 Factory and Abstract Factory (Creational) Design Patterns GHJV pp 87 -95, 107 -116
7 Singleton Pattern (Creational) Design Patterns GHJV pp 127 -134
8 MIDTERM EXAM
9 Facade Pattern (Structural) Design Patterns GHJV pp 185 -193
10 Adapter Pattern (Structural) Design Patterns GHJV pp 139 -150
11 Template Pattern (Structural) Design Patterns GHJV pp 325 -330
12 Observer Pattern (Behavioral) Design Patterns GHJV pp 293 -303
13 Visitor Pattern (Behavioral) Design Patterns GHJV pp 331- 344
14 Patterns Review Design Patterns GHJV
15 Project Discussions and Presentations Source Code and Project Report
16 Review of the Semester

 

Course Notes/Textbooks

“Design patterns: Elements of Reusable Object-Oriented Software” by E. Gamma, R. Helm, R. Johnson and J. Vlissides. Addison Wesley. 1995.Instructor notes and materials.

Suggested Readings/Materials

Metseker and Wake “Design Patterns in Java”, Addison Wesley, 2006.

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
1
30
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
-
Presentation / Jury
Project
Seminar / Workshop
Oral Exams
Midterm
1
30
Final Exam
1
40
Total

Weighting of Semester Activities on the Final Grade
2
60
Weighting of End-of-Semester Activities on the Final Grade
1
40
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Theoretical Course Hours
(Including exam week: 16 x total hours)
16
2
32
Laboratory / Application Hours
(Including exam week: '.16.' x total hours)
16
2
32
Study Hours Out of Class
16
5
80
Field Work
0
Quizzes / Studio Critiques
0
Portfolio
0
Homework / Assignments
0
Presentation / Jury
0
Project
0
Seminar / Workshop
0
Oral Exam
0
Midterms
1
30
30
Final Exam
1
36
36
    Total
210

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1

To have adequate knowledge in Mathematics, Science and Computer Engineering; to be able to use theoretical and applied information in these areas on complex engineering problems.

X
2

To be able to identify, define, formulate, and solve complex Computer Engineering problems; to be able to select and apply proper analysis and modeling methods for this purpose.

X
3

To be able to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the requirements; to be able to apply modern design methods for this purpose.

X
4

To be able to devise, select, and use modern techniques and tools needed for analysis and solution of complex problems in Computer Engineering applications; to be able to use information technologies effectively.

X
5

To be able to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or Computer Engineering research topics.

6

To be able to work efficiently in Computer Engineering disciplinary and multi-disciplinary teams; to be able to work individually.

X
7

To be able to communicate effectively in Turkish, both orally and in writing; to be able to author and comprehend written reports, to be able to prepare design and implementation reports, to present effectively, to be able to give and receive clear and comprehensible instructions.

8

To have knowledge about global and social impact of Computer Engineering practices on health, environment, and safety; to have knowledge about contemporary issues as they pertain to engineering; to be aware of the legal ramifications of Computer Engineering solutions.

9

To be aware of ethical behavior, professional and ethical responsibility; to have knowledge about standards utilized in engineering applications.

10

To have knowledge about industrial practices such as project management, risk management, and change management; to have awareness of entrepreneurship and innovation; to have knowledge about sustainable development.

11

To be able to collect data in the area of Computer Engineering, and to be able to communicate with colleagues in a foreign language. ("European Language Portfolio Global Scale", Level B1)

12

To be able to speak a second foreign language at a medium level of fluency efficiently.

13

To recognize the need for lifelong learning; to be able to access information, to be able to stay current with developments in science and technology; to be able to relate the knowledge accumulated throughout the human history to Computer Engineering.

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest

 


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