ECTS - Introduction to Industrial Engineering

Introduction to Industrial Engineering (IE103) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Introduction to Industrial Engineering IE103 2 0 0 2 3.5
Pre-requisite Course(s)
N/A
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, Discussion, Observation Case Study.
Course Coordinator
Course Lecturer(s)
  • Dr. Öğr. Üyesi Gözdem DURAL SELÇUK
Course Assistants
Course Objectives This course aims to develop a basic understanding of the profession of industrial engineering. The objective is to introduce industrial engineering problems, tools and subject areas.
Course Learning Outcomes The students who succeeded in this course;
  • Ability to locate problems which can be solved by industrial and systems engineering.
  • Ability to refer to and differentiate the tools of industrial engineering and operations research.
  • Ability to properly define industrial engineering.
  • Ability to recognize industrial engineering and operations research terminology.
Course Content Introduction to engineering, engineering processes, engineering ethics, history of industrial engineering, industrial engineering specialty areas, industrial engineering approach to problem solving, introduction to industrial engineering models and tools.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Definitions for industrial engineering and operations research. History and evolution of industrial engineering. [1] pages 1—24
2 Pioneering developments. Professional societies and organizations. The IE curriculum. Systems engineering. [1] pages 25—42
3 Basic manufacturing processes in production industry. [1] pages 43—79
4 Basic manufacturing processes in production industry. [1] pages 43—79
5 Brief overview of some tools used by industrial engineers. [1] pages 80—83, 99—102, 125—131, 183—189
6 Brief overview of some tools used by industrial engineers. [1] pages 80—83, 99—102, 125—131, 183—189
7 Traditional tools to improve efficiency in production systems. Motion and time study. [1] pages 151—182
8 Midterm
9 Traditional tools to improve efficiency in production systems. Motion and time study. [1] pages 151—182
10 Brief overview of modeling and solution methods of operations research. [1] pages 349—354
11 Overview of quality management and basic tools of determining quality problems [1] pages 223—234
12 Impact of computers and microprocessor technology in design, manufacturing and management of production systems. [1] pages 275—300
13 Basic introduction to project planning networks and the critical path method. [1] pages 411—419
14 Concepts of the systems approach. Planning, installing and managing of the systems. [1] pages 432—447
15 Final Examination Period
16 Final Examination Period

Sources

Course Book 1. W.C. Turner, J.H. Mize, K.E. Case, and J.W. Nazametz, Introduction to Industrial & Systems Engineering (3rd ed.), Prentice Hall, 1993.
Other Sources 2. Gerekli oldukça çeşitli kaynaklardan okuma materyali.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 5 10
Presentation 1 20
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 30
Final Exam/Final Jury 1 40
Toplam 8 100
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 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.
2 An ability to identify, formulate and solve complex engineering problems; an ability to select and apply proper analysis and modeling methods.
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.
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.
5 An ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or disciplinary research topics.
6 An ability to work individually, on teams, and/or on multidisciplinary teams.
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.
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.
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.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 2 32
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 4 3 12
Presentation/Seminar Prepration
Project 1 14 14
Report
Homework Assignments 4 4 16
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 2 4 8
Prepration of Final Exams/Final Jury 1 6 6
Total Workload 88