ECTS - Object-Oriented Analysis and Design

Object-Oriented Analysis and Design (SE321) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Object-Oriented Analysis and Design SE321 Area Elective 3 0 0 3 7
Pre-requisite Course(s)
(CMPE225 veya CMPE102)
Course Language English
Course Type Elective Courses
Course Level Natural & Applied Sciences Master's Degree
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Demonstration, Question and Answer.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives The objective of this course is to provide students to gain knowledge and skills to perform object-oriented software analysis and design.
Course Learning Outcomes The students who succeeded in this course;
  • Understand and recognize the basic concepts and principles of object oriented analysis
  • Understand and recognize the basic concepts and principles of object oriented design
  • Use object-oriented analysis and design techniques to document and construct object oriented software
Course Content Fundamentals of object-orientation, object-oriented (OO) modeling using UML, OO analysis and design: structural and behavioral modelling, design patterns (overview), case study to reinforce the underlying concepts.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Information Systems-What are they? Chapter 1
2 Challenges in IS Development Meeting the Challenges Chapter 2 Chapter 3
3 Fundamentals of Object-orientation Chapter 4
4 Modeling Concepts Chapter 5. Chapter A1.
5 Refining Requirement Modeling Chapter 8
6 Object interaction Chapter 9
7 Midterm Examination
8 Specifying Operations, Specifying Control Chapters 10, 11, A4
9 System Architecture and Design Chapter 12, 13, A5
10 Detailed Design Chapter 14
11 Design Patterns Chapter 15
12 Design Patterns Chapter 15
13 Class Activity
14 Class Activity
15 Finals
16 Finals

Sources

Course Book 1. Object Oriented Systems Analysis and Design using UML, Simon Bennett, Steve McRobb, Ray Farmer, 4/e, MacGraw Hill, 2010
Other Sources 2. Larman, C. (2004). Applying UML and patterns: an introduction to object oriented analysis and design and the unified process (3rd Edition), Prentice Hall
3. Robert V. Stumpf, Lavette C. Teague, Object Oriented Systems Analysis and Design With UML, 1/e, Prentice Hall, 2005.
4. Richard C. Lee, William M. Tepfenhart, UML and C++: A Practical Guide to Object-Oriented Development, 2nd Edition, Prentice Hall, 2001.
5. Martin fowler, UML Distilled: A Brief Guide to the Standard Object Modeling Language, 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 1 30
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 25
Final Exam/Final Jury 1 40
Toplam 3 95
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 An ability to apply advanced knowledge of computing and/or informatics to solve software engineering problems.
2 Develop solutions using different technologies, software architectures and life-cycle approaches.
3 An ability to design, implement and evaluate a software system, component, process or program by using modern techniques and engineering tools required for software engineering practices.
4 An ability to gather/acquire, analyze, interpret data and make decisions to understand software requirements.
5 Skills of effective oral and written communication and critical thinking about a wide range of issues arising in the context of working constructively on software projects.
6 An ability to access information in order to follow recent developments in science and technology and to perform scientific research or implement a project in the software engineering domain.
7 An understanding of professional, legal, ethical and social issues and responsibilities related to Software Engineering.
8 Skills in project and risk management, awareness about importance of entrepreneurship, innovation and long-term development, and recognition of international standards of excellence for software engineering practices standards and methodologies.
9 An understanding about the impact of Software Engineering solutions in a global, environmental, societal and legal context while making decisions.
10 Promote the development, adoption and sustained use of standards of excellence for software engineering practices.

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 3 48
Presentation/Seminar Prepration
Project 1 25 25
Report
Homework Assignments
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 20 20
Prepration of Final Exams/Final Jury 1 30 30
Total Workload 171