• Basic information
• Learning outcomes
• Contents
• Assessment
• Workload

Learning outcomes

Upon successful completion of this course, students will be able to:

1. Explain fundamental topic, concept and techniques of industrial engineering and operations research.

   Contribution to Program Outcomes

   1. Understand, use and interpret scientific concepts related to engineering and mathematics fields
   2. Adhere to life-long learning principle and learn how to learn

   Method of assessment

   1. Written exam
   2. Homework assignment
2. Identify industrial engineering program, curriculum and subjects.

   Contribution to Program Outcomes

   1. Understand, use and interpret scientific concepts related to engineering and mathematics fields
   2. Adhere to life-long learning principle and learn how to learn

   Method of assessment

   1. Written exam
   2. Homework assignment
3. Define decision problems and apply proper industrial engineering or operations research tools and techniques for their solutions.

   Contribution to Program Outcomes

   1. Understand, use and interpret scientific concepts related to engineering and mathematics fields
   2. Use mathematical modelling, statistical applications, analysis methods and techniques and the system approach necessary in industrial engineering applications
   3. Detect a problem to be solved, formulate it and develop a solution model
   4. Adhere to life-long learning principle and learn how to learn

   Method of assessment

   1. Written exam
   2. Homework assignment
4. Construct operations research models and solve them with basic solution techniques.

   Contribution to Program Outcomes

   1. Understand, use and interpret scientific concepts related to engineering and mathematics fields
   2. Use mathematical modelling, statistical applications, analysis methods and techniques and the system approach necessary in industrial engineering applications
   3. Design and implement a scientific experiment, analyze the results and reach to meaningful conclusions
   4. Adhere to life-long learning principle and learn how to learn

   Method of assessment

   1. Written exam
   2. Homework assignment
5. Follow contemporary issues of industrial engineering and operations research in their various application areas.

   Contribution to Program Outcomes

   1. Understand, use and interpret scientific concepts related to engineering and mathematics fields
   2. Use mathematical modelling, statistical applications, analysis methods and techniques and the system approach necessary in industrial engineering applications
   3. Detect a problem to be solved, formulate it and develop a solution model
   4. Design a system, a component or a process to meet certain needs. Take the social, political, environmental and ethical issues into account and consider other present and future restrictions. Come up with an economic, highly productive and sustainable solution at the end
   5. Possess a critical, questioning approach with an innovative nature during system design, problem detection and solution proposal
   6. Adhere to life-long learning principle and learn how to learn

   Method of assessment

   1. Written exam
   2. Homework assignment
6. Gain self-awareness.

   Contribution to Program Outcomes

   1. Take leadership role and use initiative
   2. Conduct collective, interdisciplinary and team work
   3. Maintain effective communication in his/her career
   4. Adhere to social responsibility rules and professional and moral principles

   Method of assessment

   1. Homework assignment
   2. Term paper
7. List different ways of career development.

   Contribution to Program Outcomes

   1. Maintain effective communication in his/her career
   2. Adhere to social responsibility rules and professional and moral principles

   Method of assessment

   1. Homework assignment
   2. Term paper

Contents
Week 1:	Definition and history of industrial engineering. Definition and history of operations research. Fundamental topics of industrial engineering and application areas.
Week 2:	Introduction of operations research techniques and their classification. Definition of a system and systems thinking. Introduction of the industrial engineering department and the undergraduate curriculum.
Week 3:	Optimization problem. Modeling linear programming problems.
Week 4:	Linear programming - Graphical solution methods, solution via optimization software.
Week 5:	Production systems - Process and layout selection - Homework 1
Week 6:	Inventory management - Economic order quantity models
Week 7:	Decision analysis - Decision problem and decision trees. - Midterm 1
Week 8:	Impact of randomness on industrial engineering and operations research problems. Fundamentals of probability. Conditional probability and total probability theorem. - Homework 2
Week 9:	Probability - Random variables and probability distributions. Calculation of expected value and standard deviation. An inventory model with randomness: Newsvendor problem.
Week 10:	Logistics - Network models, traveling salesman problem
Week 11:	Operations Scheduling - Homework 3
Week 12:	Introduction to notion of career. The concepts of ability, skill, talent, competence, career and career management. Information on various exchange and scholarship opportunities for undergraduate students. - Midterm 2
Week 13:	Seminar on academic career and private sector career. Information on academic career in industrial engineering and related fields. Seminars on different sectors such service, finance, and production, and career opportunities available in these respective sectors.
Week 14:	Writing CVs. Project presentations. - Homework 4
Week 15*:	-
Week 16*:	Final exam.
Textbooks and materials:	-
Recommended readings:	Introduction to Operations Research. F. S. Hillier, G. J. Lieberman. McGraw-Hill, 7th Edition, 2002. Production and Operations Analysis. S. Nahmias, Irwin/McGraw-Hill, 7th Edition, 2015.
	* Between 15th and 16th weeks is there a free week for students to prepare for final exam.

Assessment
Method of assessment	Week number	Weight (%)
Mid-terms:	7,12	50
Other in-term studies:		0
Project:	14	30
Homework:	5,8,11,14	20
Quiz:		0
Final exam:		0
	Total weight:	(%)

Workload
Activity	Duration (Hours per week)	Total number of weeks	Total hours in term
Courses (Face-to-face teaching):	3	14
Own studies outside class:	2	10
Practice, Recitation:	0	0
Homework:	5	4
Term project:	10	1
Term project presentation:	3	1
Quiz:	0	0
Own study for mid-term exam:	5	1
Mid-term:	2	2
Personal studies for final exam:	0	0
Final exam:	0	0
		Total workload:
		Total ECTS credits:	*
	* ECTS credit is calculated by dividing total workload by 25. (1 ECTS = 25 work hours)