ECTS - Information Systems Design

Information Systems Design (SE503) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Information Systems Design SE503 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type N/A
Course Level Natural & Applied Sciences Master's Degree
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 give an understanding of the basics of information systems development.
Course Learning Outcomes The students who succeeded in this course;
  • Describe the approach and obligations of the professional systems analyst and the analogies between software and other branches of engineering
  • Discuss the aims and objectives of an information system in the context of a human activity system
  • Appreciate the software life cycle, and the management issues involved in software development
  • Recognize the need for quality assurance and know, how it is applied in the software industry with engineering standards
  • Use object-oriented analysis and design techniques to document existing information systems, to propose alternative new systems, and to specify required information systems
  • Apply analysis, design techniques and implementation methods to meet the special needs of the systems
  • Produce the key deliverables of the software life cycle
Course Content Introduction to software architecture; design patterns; object-oriented modeling and architectural design with contemporary notation; experimentation in design; design prototyping; working on design teams and management of object-oriented projects; detailed design and implementation issues; design reviews; using design document for coding.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Fundamentals of Object-orientation for IS Other sources 1
2 Modeling Concepts Chapter 5 (main text) Chapter A1 Other sources 2
3 Requirement Elicitation Chapter 6. Chapter A2 Other sources 3
4 Requirement Modeling Chapter 7 Chapter A3 Other sources 4
5 Refining Requirement Modeling Chapter 8 Other sources 5
6 Object Interaction Chapter 9
7 Specifying Operations, Specifying Control Chapter 10, 11, Chapter A4
8 Midterm
9 System Architecture Chapter 12 Other sources
10 System Design Chapter 13, Chapter A5
11 Detailed Design Chapter 14
12 Design Pattern Chapter 15
13 Human Computer Interaction, Boundary Classes, Data Management Chapter 16, 17, 18
14 Implementation Chapter 19
15 Final Examination Period Review of topics
16 Final Examination Period Review of topics

Sources

Course Book 1. Object Oriented Systems Analysis and Design using UML, Simon Bennett, Steve McRobb, Ray Farmer, 3/e, MacGraw Hill, 2005.
Other Sources 2. R. Ramsin and R.F. Paige, Process-Centered Review of Object Oriented Software Development Methodologies, ACM Computing Surveys, Vol. 40, No. 1, February 2008.
3. Philippe Kruchten, The 4+1 View Model of Architecture, IEEE Software 12(6): 42-50 (1995).
4. Stephane S. Some, Supporting use case based requirements engineering, Information and Software Technology, 48 (2006), 43–-58.
5. K. Cox and K. T. Phalp, Practical experience of eliciting classes from use case descriptions, The Journal of Systems and Software, vol. 80, p. 1286--1304, 2007
9. ACM http://portal.acm.org/
10. Science Direct: http://www.sciencedirect.com/science/books
11. IEEE/IEE: http://ieeexplore.ieee.org/
12. Object Oriented Systems Analysis and Design With UML, Robert V. Stumpf, Lavette C. Teague, 1/e, Prentice Hall, 2005.
13. Applying UML and Patterns : An Introduction to Object-Oriented Analysis and Design and Iterative Development, Craig Larman, 3rd Edition, Prentice Hall, 2005.
14. UML Distilled: A Brief Guide to the Standard Object Modeling Language, Martin Fowler. 3rd Edition, Addison Wesley, 2004.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments - -
Presentation - -
Project 5 50
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 20
Final Exam/Final Jury 1 30
Toplam 7 100
Percentage of Semester Work
Percentage of Final Work 100
Total 100

Course Category

Core Courses
Major Area Courses X
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 An ability to apply knowledge of mathematics, science, and engineering.
2 An ability to design and conduct experiments, as well as to analyze and interpret data. X
3 An ability to design a system, component, or process to meet desired needs. X
4 An ability to function on multi-disciplinary domains. X
5 An ability to identify, formulate, and solve engineering problems.
6 An understanding of professional and ethical responsibility. X
7 An ability to communicate effectively.
8 Recognition of the need for, and an ability to engage in life-long learning. X
9 A knowledge of contemporary issues.
10 An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.
11 Skills in project management and recognition of international standards and methodologies X
12 An ability to produce engineering products or prototypes that solve real-life problems.
13 Skills that contribute to professional knowledge. X
14 An ability to make methodological scientific research. X
15 An ability to produce, report and present an original or known scientific body of knowledge. X
16 An ability to defend an originally produced idea.

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 5 80
Presentation/Seminar Prepration
Project 5 5 25
Report
Homework Assignments 5 5 25
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 2 15 30
Prepration of Final Exams/Final Jury
Total Workload 208