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 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 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, Experimentation in OO analysis: identification of use cases and objects, experimentation in OO design: class hierarchies, implementation in OO programming, design pattern (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 Requirement Elicitation Chapter 6 Chapter A2
6 Requirement Modeling Chapter 7 Chapter A3
7 Refining Requirement Modeling Chapter 8
8 Object Interaction Chapter 9
9 Specifying Operations, Specifying Control Chapter 10, 11, Chapter A4
10 System Architecture Chapter 12
11 System Design Chapter 13, Chapter A5
12 Detailed Design Chapter 14
13 Design Patterns Chapter 15
14 Final Examination Period Review of topics
15 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. 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 Gain sufficient knowledge in mathematics, science and computing; be able to use theoretical and applied knowledge in these areas to solve engineering problems related to information systems.
2 To be able to identify, define, formulate and solve complex engineering problems; to be able to select and apply appropriate analysis and modeling methods for this purpose. X
3 Designs a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; applies modern design methods for this purpose. X
4 To be able to develop, select and use modern techniques and tools required for the analysis and solution of complex problems encountered in information systems engineering applications; to be able to use information technologies effectively.
5 Designs and conducts experiments, collects data, analyzes and interprets results to investigate complex engineering problems or research topics specific to the discipline of information systems engineering.
6 Can work effectively in disciplinary and multidisciplinary teams; can work individually.
7 a. Communicates effectively 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. b. Knows at least one foreign language.
8 To be aware of the necessity of lifelong learning; to be able to access information, to be able to follow developments in science and technology and to be able to renew himself/herself continuously.
9 a. Acts in accordance with the principles of ethics, gains awareness of professional and ethical responsibility. b. Gains knowledge about the standards used in information systems engineering applications.
10 a. Gains knowledge about business life practices such as project management, risk management and change management. b. Gains awareness about entrepreneurship and innovation. c. Gains knowledge about sustainable development.
11 a. To be able to acquire knowledge about the universal and social effects of information systems engineering applications on health, environment and safety and the problems of the era reflected in the field of engineering. b. Gains awareness of the legal consequences of engineering solutions.

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