ECTS - Industrial Engineering Design II

Industrial Engineering Design II (IE402) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Industrial Engineering Design II IE402 3 1 0 3 9
Pre-requisite Course(s)
IE 401
Course Language English
Course Type N/A
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Demonstration, Discussion, Experiment, Question and Answer, Drill and Practice, Observation Case Study, Field Trip, Problem Solving, Team/Group, Project Design/Management.
Course Coordinator
Course Lecturer(s)
  • Prof. Dr. Turan Erman ERKAN
  • Assoc. Prof. Dr. Uğur BAÇ
  • Dr. Öğr. Üyesi Gözdem DURAL SELÇUK
  • Dr. Öğr. Üyesi Cihan Tuğrul ÇİÇEK
Course Assistants
Course Objectives The objective of the two consecutive courses (IE 401 and IE 402) is to enable the students to analyze, formulate and construct a solution to an open-ended real life problem through engineering design methodology as a joint product of teamwork.
Course Learning Outcomes The students who succeeded in this course;
  • Students will be able to determine the best available solution to a formulated problem in a manufacturing or a service system making use of analytical tools.
  • Students will be able to conduct the implementation steps of a suggested solution to an outlined problem.
  • Students will be acquiring the ability to write proper formal reports and make technical presentations.
  • Students will be able to work in teams.
  • Students will know how to behave during his/her professional career with respect to ethical considerations.
Course Content To solve the problem defined in IE 401; solving by using Industrial and Operations Research Techniques; demonstration of applicability for provided solution to the IE 401 problem.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Measurement, data analysis and experimentation.
2 Measurement, data analysis and experimentation.
3 Development of solution alternatives
4 Submission of Report 3.
5 Computational analysis of costs and benefits of each solution alternative. Selection of the best alternative.
6 Implementation of the suggested solution alternative.
7 Short and long-term outcomes of solution alternatives
8 Submission of Report 3
9 Computational analysis of costs and benefits of each solution alternative. Selection of the best alternative
10 Computational analysis of costs and benefits of each solution alternative. Selection of the best alternative
11 Implementation of the suggested solution alternative.
12 Implementation of the suggested solution alternative.
13 Submission of Report 4.
14 Feedback from company contact person as well as faculty supervisor. Revision of Report 4 to be followed by Presentation.
15 Final Examination Period
16 Final Presentation


Course Book 1. Blancard, B. S., and Fabrycky, W. J., Systems Engineering and Analysis, Prentice Hall, New Jersey, 2006.
2. IE Design Guide (prepared by Faculty Staff), September 2012.
Other Sources 3. Supplementary reading material whenever necessary.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation 1 10
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments - -
Presentation 1 30
Project 1 60
Report - -
Seminar - -
Midterms Exams/Midterms Jury - -
Final Exam/Final Jury - -
Toplam 3 100
Percentage of Semester Work 65
Percentage of Final Work 35
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 knowledge of mathematics, science and engineering to Industrial Engineering; an ability to apply theoretical and practical knowledge to model and solve engineering problems. X
2 An ability to identify, formulate and solve complex engineering problems; an ability to select and apply proper analysis and modeling methods. X
3 An ability to design a complex system, process, tool or component to meet desired needs within realistic constraints; an ability to apply modern design. X
4 An ability to develop, select and put into practice techniques, skills and modern engineering tools necessary for engineering practice; an ability to use information technology effectively. X
5 An ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or disciplinary research topics. X
6 An ability to work individually, on teams, and/or on multidisciplinary teams. X
7 Ability to communicate effectively in Turkish orally and in writing; knowledge of at least one foreign language; effective report writing and understand written reports, preparing design and production reports, making effective presentations, giving and receiving clear and understandable instruction. X
8 A recognition of the need for, and an ability to engage in life-long learning; an ability to use information-seeking tools and to follow the improvements in science and technology. X
9 An ability to behave according to the ethical principles, an understanding of professional and ethical responsibility. Information on standards used in industrial engineering applications. X
10 Knowledge of business applications such as project management, risk management and change management. A recognition of entrepreneurship, innovativeness. Knowledge of sustainable improvement. X
11 Information on the effects of industrial engineering practices on health, environment and security in universal and societal dimensions and the information on the problems of the in the field of engineering of the era. Awareness of the legal consequences of engineering solutions.
12 An ability to design, development, implementation and improvement of integrated systems that include human, materials, information, equipment and energy. X
13 Knowlede on appropriate analytical, computational and experimental methods to provide system integration. X

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Application 16 1 16
Special Course Internship
Field Work
Study Hours Out of Class 22 5 110
Presentation/Seminar Prepration
Project 1 51 51
Homework Assignments
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury
Prepration of Final Exams/Final Jury
Total Workload 225