Business Administration
Bachelor	Length of the Programme: 4	Number of Credits: 240	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF: Level 6

ECTS Course Information Package

School/Faculty/Institute

Faculty of Engineering

Course Code

IE 100

Course Title in English

Introduction to Industrial Engineering

Course Title in Turkish

Endüstri Mühendisliğine Giriş

Language of Instruction

Type of Course

Lecture,Flipped Classroom

Level of Course

Introductory

Semester

Fall

Contact Hours per Week

Lecture: 2

Recitation: none

Lab: none

Other: none

Estimated Student Workload

84 hours per semester

Number of Credits

3 ECTS

Grading Mode

Standard Letter Grade

Pre-requisites

None

Co-requisites

None

Expected Prior Knowledge

None

Registration Restrictions

Only undergraduate students

Overall Educational Objective

To learn the profession, main topics, and approaches of industrial engineering.

Course Description

This course provides an introduction to fundamental concepts & approaches of industrial engineering. Following topics are covered: definition & history of industrial engineering; definition & history of operations research (OR); components of an OR model; constructing OR models and categories of OR techniques; differences between linear & nonlinear programming; sample space & events of experiments; mutually exclusive & collectively exhaustive events; conditional probability; independent events; law of total probability; Bayes theorem; probability distributions; demand forecasting; facility layout design; Markov chains; problem situation; decision trees; simple linear regression; EOQ models; Bayesian networks; charts and diagrams.

Course Learning Outcomes and Competences

Upon successful completion of the course, the learner is expected to be able to:
1) Describe the structure of the industrial engineering program and the role of accreditation and continuous improvement;
2) Explain the fundamental concepts and principles of industrial engineering and operations research (OR);
3) Analyze a problem situation and use suitable tools & techniques of IE/OR to solve the problems;
4) Model engineering problems and apply basic solution methods to these models.

Program Learning Outcomes/Course Learning Outcomes	1	2	3	4
1) Has a broad foundation and intellectual awareness with exposure to mathematics, history, economics, and social sciences
2) Demonstrates knowledge and skills in different functional areas of business (accounting, finance, operations, marketing, strategy, and organization) and an understanding of their interactions within various industry sectors
3) Applies theoretical knowledge as well as creative, analytical, and critical thinking to manage complex technical or professional activities or projects
4) Exhibits an understanding of global, environmental, economic, legal, and regulatory contexts for business sustainability
5) Demonstrates individual and professional ethical behavior and social responsibility
6) Demonstrates responsiveness to ethnic, cultural, and gender diversity values and issues
7) Uses written and spoken English effectively (at least CEFR B2 level) to communicate information, ideas, problems, and solutions
8) Demonstrates skills in data and information acquisition, analysis, interpretation, and reporting
9) Displays computer proficiency to support problem solving and decision-making
10) Demonstrates teamwork, leadership, and entrepreneurial skills
11) Displays learning skills necessary for further study with a high degree of autonomy

Relation to Program Outcomes and Competences

N None	S Supportive	H Highly Related

	Program Outcomes and Competences	Level	Assessed by
1)	Has a broad foundation and intellectual awareness with exposure to mathematics, history, economics, and social sciences	N
2)	Demonstrates knowledge and skills in different functional areas of business (accounting, finance, operations, marketing, strategy, and organization) and an understanding of their interactions within various industry sectors	N
3)	Applies theoretical knowledge as well as creative, analytical, and critical thinking to manage complex technical or professional activities or projects	N
4)	Exhibits an understanding of global, environmental, economic, legal, and regulatory contexts for business sustainability	N
5)	Demonstrates individual and professional ethical behavior and social responsibility	N
6)	Demonstrates responsiveness to ethnic, cultural, and gender diversity values and issues	N
7)	Uses written and spoken English effectively (at least CEFR B2 level) to communicate information, ideas, problems, and solutions	S	Presentation
8)	Demonstrates skills in data and information acquisition, analysis, interpretation, and reporting	S	Participation
9)	Displays computer proficiency to support problem solving and decision-making	N
10)	Demonstrates teamwork, leadership, and entrepreneurial skills	S	Participation
11)	Displays learning skills necessary for further study with a high degree of autonomy	S	Participation

Prepared by and Date	HANDE KÜÇÜKAYDIN , October 2025
Course Coordinator	HANDE KÜÇÜKAYDIN
Semester	Fall
Name of Instructor

Course Contents

Week	Subject
1)	Definition, history & main topics of industrial engineering
2)	Industrial engineering program & its continuous improvement
3)	Definition & history of operations research (OR), components of an OR model, constructing OR models and categories of OR techniques
4)	Linear functions, linear equalities & inequalities, linear & nonlinear programming and their differences
5)	Sample space & events of experiments, mutually exclusive & collectively exhaustive events, probability calculus including conditional probability & independent events
6)	Bayes theorem, Law of total probability, probability distributions
7)	Demand forecasting
8)	Facility layout design
9)	Markov chains
10)	Problem situation, decision problems, and decision trees
11)	Simple linear regression
12)	Economic order quantity models
13)	Bayesian networks
14)	Charts and diagrams
15)	Final Exam/Project/Presentation period
16)	Final Exam/Project/Presentation period

Required/Recommended Readings

None

Teaching Methods

Lectures/contact hours using “flipped classroom” as an active learning technique

Homework and Projects

None

Laboratory Work

None

Computer Use

MS Excel

Other Activities

Flipped classroom practice with graded participation

Assessment Methods

Assessment Tools	Count	Weight
Application	12	% 15
Midterm(s)	1	% 40
Final Examination	1	% 45
TOTAL		% 100

Course Administration

hande.kucukaydin@mef.edu.tr
212 3953631
Instructor’s -office and phone number: 5th floor, 212 3953631 -office hours: TBA -email address: hande.kucukaydin@mef.edu.tr Rules for attendance: YÖK regulations. You are responsible for the announcements made in class. Missing a midterm: You are expected to be present without exception and to plan any travel around these dates accordingly. Medical emergencies are of course excluded if accompanied by a doctor’s note. A note indicating that you were seen at the health center on the day of the exam is not a sufficient documentation of medically excused absence from the exam. The note must say that you were medically unable to take the exam. Provided that proper documents of excuse are presented, a make-up exam will be given for each missed midterm. If you fail to take the exam on the assigned day and do not have a valid excuse, you will be given zero (0) on the exam. Employment interviews, employer events, weddings, vacations, etc. are not excused absences. Eligibility to take the final exam: YÖK regulations. Missing a final: Faculty regulations. A reminder of proper classroom behavior, code of student conduct: Law on Higher Education Art. 54. Academic dishonesty and plagiarism: Law on Higher Education Art. 54.

ECTS Student Workload Estimation

Activity	No/Weeks	Hours			Calculation
	No/Weeks per Semester	Preparing for the Activity	Spent in the Activity Itself	Completing the Activity Requirements
Course Hours	14	1	2		42
Midterm(s)	1	15	1		16
Final Examination	1	25	1		26
Total Workload					84
Total Workload/25					3.4
ECTS					3