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 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 Ability to expand and get in-depth information with scientific researches in the field of mechanical engineering, evaluate information, review and implement.
2 Have comprehensive knowledge about current techniques and methods and their limitations in Mechanical engineering.
3 To complete and apply knowledge by using scientific methods using uncertain, limited or incomplete data; use information from different disciplines.
4 Being aware of the new and developing practices of Mechanical Engineering and being able to examine and learn when needed.
5 Ability to define and formulate problems related to Mechanical Engineering and develop methods for solving and apply innovative methods in solutions.
6 Ability to develop new and/or original ideas and methods; design complex systems or processes and develop innovative/alternative solutions in the designs.
7 Ability to design and apply theoretical, experimental and modeling based researches; analyze and solve complex problems encountered in this process.
8 Work effectively in disciplinary and multi-disciplinary teams, lead leadership in such teams and develop solution approaches in complex situations; work independently and take responsibility.
9 To establish oral and written communication by using a foreign language at least at the level of European Language Portfolio B2 General Level.
10 Ability to convey the process and results of their studies systematically and clearly in written and oral form in national and international environments.
11 To know the social, environmental, health, security, law dimensions, project management and business life applications of engineering applications and to be aware of the constraints of their engineering applications.
12 Ability to observe social, scientific and ethical values in the stages of data collection, interpretation and announcement and in all professional activities.

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