IE103 Introduction to Industrial EngineeringIstanbul Okan UniversityDegree Programs Industrial Engineering (English)General Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
Industrial Engineering (English)
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

General course introduction information

Course Code: IE103
Course Name: Introduction to Industrial Engineering
Course Semester: Fall
Course Credits:
Theoretical Practical Credit ECTS
2 0 2 3
Language of instruction: EN
Course Requisites:
Does the Course Require Work Experience?: No
Type of course: Compulsory
Course Level:
Bachelor TR-NQF-HE:6. Master`s Degree QF-EHEA:First Cycle EQF-LLL:6. Master`s Degree
Mode of Delivery: Face to face
Course Coordinator : Dr.Öğr.Üyesi PELİN ALCAN GEZGİNCİ
Course Lecturer(s): Dr.Öğr.Üyesi PELİN ALCAN GEZGİNCİ
Course Assistants:

Course Objective and Content

Course Objectives: Introduce Industrial Engineering as a science and as a profession. The course is organized to let students understand objectives, scope and general approach of industrial engineering.
Course Content: This course is designed to explain the basic tasks and sub-titles of the industrial engineering department to our students. Industrial Engineering is still so important among other engineering branches; we are trying to define these parts. We discuss the system definition in industrial engineering, the sub-titles of the chapter and the most important requirements of this course.
Basic topics such as production planning and control, operations research, statistics, quality engineering, AI, occupational health and safety, ergonomics are explained to the students and presented with examples.

Learning Outcomes

The students who have succeeded in this course;
Learning Outcomes
1 - Knowledge
Theoretical - Conceptual
1) Get informed about industrial engineering and industrial engineering concepts and the history of industrial engineering.
2) Learn about the working areas of industrial engineering.
3) To have knowledge about basic concepts and techniques in industrial engineering (for example, production planning and control, operations research, quality engineering, occupational health and safety, artificial intelligence and ergonomics).
2 - Skills
Cognitive - Practical
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
Competence to Work Independently and Take Responsibility

Lesson Plan

Week Subject Related Preparation
1) History and Scope of Industrial Engineering YOKTUR
2) Giving the basic tasks of Industrial Engineering. Talking about the age of digitalization and its relationship with industrial engineering. YOKTUR
3) Define Industry 4.0 and its areas under Production Planning and Control (PPC) YOKTUR
4) Introduction to Production planning, capacity planning and ERP systems YOKTUR
5) Identification of basic modules in ERP and software, introduction to the concept of quality. YOKTUR
6) To explain quality systems, total quality management and its sub-titles YOKTUR
7) Explaining quality control, Kaizen, Zero Defects, Lean philosophy and 6 Sigma. YOKTUR
8) Identify probability, statistics and probability distributions YOKTUR
9) Midterm YOKTUR
10) Identify Bayes Theorem, Tree charts and Permutation and Combination YOKTUR
11) Define Operational Research and its basic application areas YOKTUR
12) Summarizing Occupational Health and Safety and its basic terms. YOKTUR
13) Summarizşng Artificial Intelligence and its basic applications YOKTUR
14) Summarizing Ergonomics and its basic subtitles. YOKTUR
15) Final YOKTUR

Sources

Course Notes / Textbooks: Lecture Notes
References: Shtub, A., Cohen, Y. (2016). Introduction to Industrial Engineering, Second Edition, Taylor and Francis Group, LLC.

Turner, W.C., Mize, J.H., Case, K.E., Nazemtz, J.W. (1993). Introduction To Industrial and Systems Engineering, Pearson.

Introduction to Industrial Engineering - Bonnie Boardman, Copyright Year: 2020
ISBN 13: 9781648169823
Publisher: Mavs Open Press
Language: English

Course-Program Learning Outcome Relationship

Learning Outcomes

1

2

3

Program Outcomes
1) Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied information in these areas to model and solve engineering problems.
2) Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modelling methods for this purpose.
3) Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way so as to meet the desired result; ability to apply modern design methods for this purpose. (Realistic constraints and conditions may include factors such as economic and environmental issues, sustainability, manufacturability, ethics, health, safety issues, and social and political issues according to the nature of the design.)
4) Ability to devise, select, and use modern techniques and tools needed for engineering practice; ability to employ information technologies effectively.
5) Ability to design and conduct experiments, gather data, analyse and interpret results for investigating engineering problems.
6) Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
7) Ability to communicate effectively i Turkish, both orally and in writing; knowledge of a minimum of one foreign language.
8) Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.
9) Awareness of professional and ethical responsibility.
10) Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development.
11) Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of engineering solutions.

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied information in these areas to model and solve engineering problems. 3
2) Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modelling methods for this purpose. 2
3) Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way so as to meet the desired result; ability to apply modern design methods for this purpose. (Realistic constraints and conditions may include factors such as economic and environmental issues, sustainability, manufacturability, ethics, health, safety issues, and social and political issues according to the nature of the design.) 1
4) Ability to devise, select, and use modern techniques and tools needed for engineering practice; ability to employ information technologies effectively.
5) Ability to design and conduct experiments, gather data, analyse and interpret results for investigating engineering problems.
6) Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
7) Ability to communicate effectively i Turkish, both orally and in writing; knowledge of a minimum of one foreign language.
8) Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself. 5
9) Awareness of professional and ethical responsibility. 5
10) Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development.
11) Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of engineering solutions.

Learning Activity and Teaching Methods

Expression
Lesson
Homework
Problem Solving
Q&A / Discussion

Assessment & Grading Methods and Criteria

Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing)
Homework

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Homework Assignments 1 % 20
Midterms 1 % 40
Final 1 % 40
total % 100
PERCENTAGE OF SEMESTER WORK % 60
PERCENTAGE OF FINAL WORK % 40
total % 100

Workload and ECTS Credit Grading

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 3 42
Homework Assignments 6 6 36
Midterms 1 1 1
Final 1 1 1
Total Workload 80