Download IE 101

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
Semester
Fall 2016-2017
Course Code
IE 101
Course Title in
English
Introduction to Industrial Engineering
Course Title in
Turkish
Endüstri Mühendisliğine Giriş
Language of
Instruction
English
Type of Course
Flipped Classroom
Level of Course
Undergraduate
Course Category
(by % of Content)
Basic Science
Semester Offered
Fall
Contact Hours per
Week
Lecture: 1 hour
Estimated Student
Workload
31 hours per semester.
Number of Credits
1 ECTS
Grading Mode
Standard Letter Grade
Pre-requisites
None
Expected Prior
Knowledge
None
Co-requisites
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; linear functions, equalities & inequalities, differences between linear
& nonlinear programming; systems of linear equations; 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; simulation; charts & diagrams; Markov chains; economic order quantity models;
lot sizing models.
Course Description in
Turkish
Course Learning
Basic Engineering
35
Engineering Design
65
Recitation: -
General Education
Lab:-
Other:-
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 fonksiyonlar, eşitlikler & eşitsizlikler; 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.
Upon successful completion of the course, the learner is expected to:
Outcomes and
Competences
1.
2.
3.
4.
apply knowledge of mathematics and engineering,
explain the concepts of IE/operations research (OR) principles,
analyze a situation and use suitable tools & techniques of IE/OR to solve the problems,
model engineering problems and apply basic solution methods to these models.
Relation to Student Outcomes and Competences:
N=None
S=Supportive
RelationshipoftheCoursewiththeStudentOutcomesandCompetences
(a) an ability to apply knowledge of mathematics, science, and engineering
H=Highly Related
Level
Assessedby
N/S/H
(Related
Learning
Outcomes)
Exam, Project,
HW, Lab,
Presentation, etc.
H
(1,3,4)
Exams, Flipped
Classroom
Practice, Active
Learning Activities
(b) an ability to design and conduct experiments, as well as to analyze and interpret
data
N
(c) an ability to design a system, component, or process to meet desired needs within
realistic constraints such as economic, environmental, social, political, ethical, health and
safety, manufacturability, and sustainability
N
(d) an ability to function on multidisciplinary teams
(e) an ability to identify, formulate, and solve engineering problems
(f) an understanding of professional and ethical responsibility
N
H
(1,3,4)
N
(g) an ability to communicate effectively
H
(1,2,3)
(h) the broad education necessary to understand the impact of engineering solutions in
a global, economic, environmental, and societal context
(i) a recognition of the need for, and an ability to engage in life-long learning
Exams, Flipped
Classroom
Practice, Active
Learning Activities
Exams, Flipped
Classroom
Practice, Active
Learning Activities
N
S
Flipped Classroom
Practice, Active
Learning Activities
(j) a knowledge of contemporary issues
N
(k) an ability to use the techniques, skills, and modern engineering tools necessary for
engineering practice
S
Flipped Classroom
Practice, Active
Learning Activities
Prepared by and Date
Asst. Prof. Dr. Hande Küçükaydın / October 2016
Name of Instructors
Asst. Prof. Dr. Hande Küçükaydın
Course Contents
Week
Topic
1.
Definition, history & main topics of industrial engineering
2.
Definition & history of operations research (OR), components of an OR model,
constructing OR models and categories of OR techniques
3.
Linear functions, linear equalities & inequalities, linear & nonlinear programming and
their differences
4.
Systems of linear equations
5.
Sample space & events of experiments, mutually exclusive & collectively exhaustive
events, probability calculus including conditional probability & independent events
6.
Law of total probability, probability distributions
7.
Simple linear regression
8.
Problem situation and decision problems
9.
Decision trees
10.
Simulation
11.
Charts and diagrams
12.
Markov chains
13.
Economic order quantity models
14.
Lot sizing models
15.
Final Exam Period
16.
Final Exam Period
Required/Recommended
Readings
-
Teaching Methods
Lectures/contact hours using “flipped classroom” as an active learning technique
Homework and Projects
-
Laboratory Work
-
Computer Use
MS Excel
Other Activities
-
Assessment Methods
Types of assessment:
Number
Midterm Exams
1
Classroom Practice
Final Exam
Total
Course Administration
Ratio (%)
35
20
1
45
100
Instructor’s office and phone number: 5th Floor, (0212) 3953631
office hours: Monday 9:00-11:00
email address: [email protected]
Rules for attendance: Classroom practice contributes to 20% of the final grade.
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.
Missing a final: Faculty regulations.
A reminder of proper classroom behavior, code of student conduct: YÖK Regulations
Statement on plagiarism: YÖK Regulations
(http://3fcampus.mef.edu.tr/uploads/cms/webadmin.mef.edu.tr/4833_2.pdf )
Disclaimer: The instructor reserves the right, when necessary, to alter the grading policy,
change examination dates, and modify the syllabus and course content. Modifications will be
announced in class. Students are responsible for the announced changes.
ECTS
Student
Workload
Estimation
A ctivity
Lecture/F lippedC las s room
N o/W eeks
Hours
N o/W eeks per
S emes ter(A )
P reparing forthe
A ctivity(B )
S pentintheA ctivity
Its elf(C )
14
0 .5
1
Quiz z es
M idterm(s )
A s s ing ment,P roject,
P res entation
1
F inalE xamination
1
T otalW orkload
T otalW orkload/2 5
EC TS
2
5
1
2
C alculation
E xplanation
21
A *(B +C +D )
0
A *(B +C +D )
3
A *(B +C +D )
0
A *(B +C +D )
7
A *(B +C +D )
C ompleting the
A ctivity
R equirements (D )
31
1.2 4
1
PROGRAM CRITERIA
1. Breadth in industrial engineering practice, analysis and design with 17 required course in industrial engineering, and
depth in one or more fields with 4 industrial engineering electives.
2. Ability to design, develop, implement and improve integrated systems that include people, materials, information,
equipment, and energy.
3. In-depth knowledge of appropriate analytical, experimental and computational methods for system integration.
Key verbs for cognitive domain in writing learning outcomes and competences:
Key Verbs:
Remembering: defines, describes, identifies, knows, labels, lists, matches, names, outlines,
recalls, recognizes, reproduces, selects, states.
Understanding: comprehends, converts, defends, distinguishes, estimates, explains, extends,
generalizes, gives an example, infers, interprets, paraphrases, predicts, rewrites, summarizes,
translates.
Applying: applies, changes, computes, constructs, demonstrates, discovers, manipulates,
modifies, operates, predicts, prepares, produces, relates, shows, solves, uses.
Analyzing: analyzes, breaks down, compares, contrasts, diagrams, deconstructs, differentiates,
discriminates, distinguishes, identifies, illustrates, infers, outlines, relates, selects, separates.
Evaluating: appraises, compares, concludes, contrasts, criticizes, critiques, defends, describes,
discriminates, evaluates, explains, interprets, justifies, relates, summarizes, supports.
Creating: categorizes, combines, compiles, composes, creates, devises, designs, explains,
generates, modifies, organizes, plans, rearranges, reconstructs, relates, reorganizes, revises,
rewrites, summarizes, tells, writes.
Key verbs for affective domain in writing learning outcomes and competences:
Receiving Phenomena: asks, chooses, describes, follows, gives, holds, identifies, locates, names,
points to, selects, sits, erects, replies, uses.
Responding to Phenomena: answers, assists, aids, complies, conforms, discusses, greets, helps,
labels, performs, practices, presents, reads, recites, reports, selects, tells, writes.
Valuing: completes, demonstrates, differentiates, explains, follows, forms, initiates, invites, joins,
justifies, proposes, reads, reports, selects, shares, studies, works.
Organizing: adheres, alters, arranges, combines, compares, completes, defends, explains,
formulates, generalizes, identifies, integrates, modifies, orders, organizes, prepares, relates,
synthesizes.
Internalizing values: acts, discriminates, displays, influences, listens, modifies, performs,
practices, proposes, qualifies, questions, revises, serves, solves, verifies.