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 Lecturer(s) |
|
| 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;
|
| 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 |
Sources
| 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 |
| Laboratory | |||
| Application | 16 | 1 | 16 |
| Special Course Internship | |||
| Field Work | |||
| Study Hours Out of Class | 22 | 5 | 110 |
| Presentation/Seminar Prepration | |||
| Project | 1 | 51 | 51 |
| Report | |||
| Homework Assignments | |||
| Quizzes/Studio Critics | |||
| Prepration of Midterm Exams/Midterm Jury | |||
| Prepration of Final Exams/Final Jury | |||
| Total Workload | 225 | ||