ECTS COURSE INFORMATION FORM

Faculty Faculty of Engineering Program B.Sc. in Civil Engineering Elective

B.Sc. in Computer Engineering Elective B.Sc. in Electrical-Electronics Engineering Elective B.Sc. in Industrial Engineering Required B.Sc. in Mechanical Engineering Elective

Course Code IE 100 Course Title in English Introduction to Industrial Engineering Course Title in Turkish Endüstri Mühendisliğine Giriş Language of Instruction English Type of Course Flipped Classroom/Lecture

Level of Course Undergraduate Course Category (by % of Content)

Basic Science Basic Engineering Engineering Design General Education 10 40 15 35

Semester Offered Fall Contact Hours per Week Lecture: 2 hours Recitation: - Lab: - Other: - Estimated Student Workload

95 hours per semester

Number of Credits 3 ECTS Grading Mode Standard Letter Grade Pre-requisites -

Expected Prior Knowledge

-

Co-requisites -

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; probability distributions; simple linear regression; problem situation; decision trees; charts & diagrams; Markov chains; EOQ models; lot sizing models; ethical concepts in industrial engineering; contemporary issues in industrial engineering.

Course Description in Turkish

Bu ders, endüstri mühendisliğinin esas kavramları ve yaklaşımları hakkında bilgi veren bir giriş dersidir. Ders, şu konu başlıklarını içermektedir: endüstri mühendisliğinin tanımı & tarihi; yöneylem araştırmasının (YA) tanımı ve tarihi; bir YA modelinin bileşenleri; YA modeli kurma ve YA tekniklerinin sınıfları;doğrusal ve doğrusal olmayan programlama farkları, deneylerin örnek uzayları & olayları; karşılıklı dışlamalı & birlikte kapsayıcı olaylar; koşullu olasılık; bağımsız olaylar; toplam olasılık yasası; olasılık dağılımları; basit doğrusal regresyon; problem durumları; tablo & şemalar; Markov zincirleri; ekonomik sipariş miktarı modelleri; öbek büyüklüğü modelleri; endüstri mühendisliğinde etik kavramlar; endüstri mühendisliğinde çağdaş konular.

Course Learning Outcomes and Competences

Upon successful completion of the course, the learner is expected to: 1. recognize the industrial engineering program and its continuous improvement; 2. explain the concepts of IE/operations research (OR) principles; 3. analyze a 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;

5. recognize the contemporary issues and application areas of Industrial Engineering; 6. explain the professional and ethical responsibilities of an industrial engineer.

Relationship of the Course with the Student Outcomes Level Learning Outcome(s) Assessed by

Student Outcomes N=None

S=Supportive H=High

Exam, Project, HW,

Experiment, Presentation, etc.

(1) an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics

S 2, 3, 4 Exams, Flipped Classroom

Practice, Active Learning

Strategies

(2) an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors

(3) an ability to communicate effectively with a range of audiences

(4) an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts

S 1, 6 Exams, Essays

(5) an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives

(6) an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions

(7) an ability to acquire and apply new knowledge as needed, using appropriate learning strategies

S 5 Essay

Prepared by and Date Asst. Prof. Hande Küçükaydın / September 2019 Semester Fall 2019-2020 Name of Instructor Asst. Prof. Hande Küçükaydın Course Contents Week Topic 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. Ethical concepts in industrial engineering 6. Sample space & events of experiments, mutually exclusive & collectively exhaustive

events, probability calculus including conditional probability & independent events 7. Law of total probability, probability distributions 8. Problem situation, decision problems, and decision trees 9. Markov chains 10. Economic order quantity models 11. Lot sizing models

12. Simple linear regression 13. Charts and diagrams 14. Contemporary issues in industrial engineering

15. Final Exam/Project/Presentation period 16. Final Exam/Project/Presentation period

Required/Recommended Readings

-

Teaching Methods Lectures/contact hours using “flipped classroom” as an active learning technique Homework and Projects • Two quizzes

• Two essays regarding the ethical concepts and contemrary issues in industrial engineering

Laboratory Work - Computer Use MS Excel Other Activities Flipped classroom practice with graded participation Assessment Methods Types of assessment Ratio (%)

Midterm Exam 25 Quizzes 10 (each contributing 5%) Essays 20 (each contributing 10%) Flipped Classroom Practice 15 Final Exam 30 Total 100

Course Administration Instructor’s -office and phone number: 5th floor, 212 3953631 -office hours: TBA -email address: hande.kucukaydin@mef.edu.tr Exams: Closed book and closed notes. Rules for attendance: YÖK regulations. You are responsible for the announcements made in class. Rules for late submission of assignments: Essay deadlines are always extendable up to 72 hours, with submissions late for (0,24] hours receive 70% of the credit they get, (24,48] hours receive 35% , and (48,72] receive 10%. Missing a quiz: Provided that proper documents of excuse are presented, a make-up exam will be given for each missed quiz. 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: YÖK Regulations Academic dishonesty and plagiarism: YÖK Regulations

ECTS Student Workload Estimation

Activity No/Weeks Calculation Explanation

No/Weeks per Semester (A)

Preparing for the Activity (B)

Spent in the Activity Itself (C)

Completing the Activity

Requirements (D)

Lecture/Flipped Classroom 14 1 2 42 A*(B+C+D)

Quizzes 2 1 1

Midterm(s) 1 15 1 16 A*(B+C+D)Assingment, Project, Presentation 2 3 5 16 A*(B+C+D)

Final Examination 1 20 1 21 A*(B+C+D)

Total Workload 95

Total Workload/25 3.8

ECTS 3

Hours