ECTS - Large Scale Software Development

Large Scale Software Development (SE453) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Large Scale Software Development SE453 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 involve students in real-life problems and theory of large scale software development and encourage teamwork through real-life projects.
Course Learning Outcomes The students who succeeded in this course;
  • Discuss the development lifecycle for large scale software projects
  • Explain software architecture and design principles
  • Employ UML for large-scale software architecture description
  • Use software architecture as a tool to guide the development
Course Content The nature and development lifecycle for large-scale software (LLS) projects, role of the software architect, software architecture and the development process, system context and domain analysis, component design and modeling, subsystem design, transaction and data design, process and deployment design, architecture techniques, applying the viewpo

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introduction Chapter 1 (main text)
2 Roles of the Software Architect Chapter 2
3 Software Architecture and the Development Process Chapter 3
4 Software Architecture and the Development Process Chapter 3
5 System Overview & UML Chapter 4,5
6 System Context and Domain Analysis Chapter 6
7 Component Design and Modeling Chapter 7
8 Subsystem Design Chapter 8
9 Transaction and Data Design Chapter 9
10 Process and Deployment Design Chapter 10
11 Architecture Techniques Chapter 11
12 Architecture Techniques Chapter 11
13 Applying the Viewpoints Chapter 12
14 Applying the Viewpoints Chapter 12
15 Final Examination Period Review of topics
16 Final Examination Period Review of topics

Sources

Course Book 1. Large Scale Software Architecture, A Practical Guide using UML, Jeff Garland & R. Anthony: John Wiley, 2003, ISBN: 0-470-84849-0
Other Sources 2. E. Gamma, R. Helm, R. Johnson, and J. Vlissides. Design Patterns: Elements of Reusable Object-Oriented Software. Addison-Wesley, 1995
3. M. Page-Jones. The practical guide to structured systems design. Yourdon Press Computing Series. Prentice Hall, Englewood Cliffs., N.J, 2nd edition, 1988
4. Szabolcs de Gyurky, Mark A. Tarbell. The Cognitive Dynamics of Computer Science: Cost Effective Large Scale Software Development, WileyBlackwell, 2006
5. Marc Hamilton. Software Development: Building Reliable Systems, Prentice-Hall, 1999
6. Scott W. Ambler. Process Patterns: Building Large-Scale Systems Using Object Technology, Cambridge University Press/SIGS Books, 1998

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 3 30
Report - -
Seminar - -
Midterms Exams/Midterms Jury 2 40
Final Exam/Final Jury 1 25
Toplam 7 100
Percentage of Semester Work 75
Percentage of Final Work 25
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 3 5 15
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 2 7 14
Prepration of Final Exams/Final Jury 1 15 15
Total Workload 124