ECTS - System Analysis and Design

System Analysis and Design (IE503) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
System Analysis and Design IE503 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, Question and Answer, Problem Solving.
Course Coordinator
Course Lecturer(s)
  • Asst. Prof. Dr. Turan Erman ERKAN
Course Assistants
Course Objectives In this course, the students will be learning fundamental concepts of the system analysis and design to achieve clue about the application of these techniques to real world problems.
Course Learning Outcomes The students who succeeded in this course;
  • Students will learn the fundamental concepts of system analysis.
  • Students will have an insight about the role of system analysis for engineering design.
  • Students will evaluate and solve real life processes and problems using system analysis.
  • Students will conduct the implementation steps of a suggested solution to an outlined problem.
Course Content Requirements engineering and modeling, structural modeling, system architecture and user interface design, documentation, testing and installation, traceability, project planning and management.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introduction to system analysis and design.
2 Introduction to system analysis and design.
3 Systems approach
4 Systems approach
5 Information systems, planning
6 Information systems, analysis
7 Information systems, design
8 Information systems, construction
9 Requirement engineering and modeling
10 Structural modeling
11 System architecture and user interface design
12 Documentation, testing and installation
13 Traceability
14 Project planning and management
15 Final Examination Period
16 Final Examination Period

Sources

Course Book 1. Kendall K.E., Kendall J.E:, Systems Analysis ad Design (8th Edition), Prentice Hall, 2010
Other Sources 2. F.S. Hillier and G.J. Lieberman, Introduction to Operations Research (8th ed.), McGraw-Hill, 2005.
3. H. A. Taha, Operations Research: An Introduction (8th ed.), Prentice-Hall, 2006.
4. Vanderbei R.,, Linear Programming: Foundations and Extensions, Springer, 2007.

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 30
Final Exam/Final Jury 1 40
Toplam 3 100
Percentage of Semester Work
Percentage of Final Work 100
Total 100

Course Category

Core Courses
Major Area Courses
Supportive Courses X
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 Ability to apply the acquired knowledge in mathematics, science and engineering X
2 Ability to identify, formulate and solve complex engineering problems X
3 Ability to accomplish the integration of systems X
4 Ability to design, develop, implement and improve complex systems, components, or processes X
5 Ability to select/develop and use suitable modern engineering techniques and tools X
6 Ability to design/conduct experiments and collect/analyze/interpret data X
7 Ability to function independently and in teams X
8 Ability to make use of oral and written communication skills effectively X
9 Ability to recognize the need for and engage in life-long learning X
10 Ability to understand and exercise professional and ethical responsibility X
11 Ability to understand the impact of engineering solutions X
12 Ability to have knowledge of contemporary issues 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 1 16
Presentation/Seminar Prepration
Project 1 4 4
Report
Homework Assignments 4 4 16
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 16 16
Prepration of Final Exams/Final Jury 1 25 25
Total Workload 125