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 Lecturer(s) |
|
| 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;
|
| 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 | 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 | 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 | ||