Software Architecture (SE322) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Software Architecture SE322 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 provide an overview of software design architecture, application, languages for software and critical systems.
Course Learning Outcomes The students who succeeded in this course;
  • Explain basics of architecture, application, and languages for software and critical systems
  • Apply different software techniques and documentation
  • Analyze various real life software architecture construction, success and pitfalls
Course Content Introduction to software architecture, architecture business cycle, creating an architecture, introducing a case study, understanding and achieving quality, design, document and reconstruct software architecture, methods in architecture evaluation, quantitative approach to architecture design decision making, software product lines, types of

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Understanding Software Architecture Chapter 1 (main text)
2 Introducing Case Study Chapter 2
3 Software Quality Attributes Chapter 3
4 Middleware Architectures and Technology Chapter 4
5 Software Architecture Process Chapter 5
6 Documenting a Software Architecture Chapter 6
7 Case Study Design Chapter 7
8 Software Product Lines Chapter 9
9 Aspect Oriented Architectures Chapter 10
10 Model-Driven Architecture Chapter 11
11 Service Oriented Architecture & Technologies Chapter 12
12 Semantics Web Chapter 13
13 Software Agents Chapter 43
14 Final Examination Period Review of topics
15 Final Examination Period Review of topics

Sources

Course Book 1. Essential Software Architecture by Ian Gorton, Springer, 2006
Other Sources 2. Software Architecture in Practice, Second Edition, by Bass, Clements and Kazman, Addison-Wesley Publishers, ISBN: 0-321-15495-9, 2007
3. Quality Software Project Management by Robert T. Futrell, Donald F. Shafer, and Linda I. Shafer, Prentice Hall, 2002
4. Evaluating Software Architecture- Methods and Case Studies, by Paul Clements, Rick Kazman, Mark Klein, ISBN: 020170482X, Addison Wesley, 2007
5. Software System Architecture by Nick Rozanski and Eoin Woods, ISBN 0-321-11229-6, Addison Wesley, 2007
6. Software Product Line in Action Frank Van der Linden, Klaus Schmid, Eelco Rommes, ISBN 978-3-540-71436-1 Springer Berlin Heidelberg New York, 2007

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation 1 5
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments - -
Presentation - -
Project 1 20
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 20
Final Exam/Final Jury 1 40
Toplam 4 85
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.
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 1 10 10
Report
Homework Assignments 2 5 10
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 10 10
Prepration of Final Exams/Final Jury 1 20 20
Total Workload 130