Introduction to Industrial Engineering

Course Code:

ISE 101

Course Period:

Spring

Course Type:

Core

Credits:

3

Theoric:

3

Practice:

0

Laboratory Hour:

3

ECTS:

9

Course Language:

English

Courses given by:

Eylül Damla Gönül Sezer

Course Objectives:

This course makes a brief introduction to basic industrial and systems engineering subjects. In the computer lab students will mostly use Ms Word and Ms. Excel and sytems engineering software CORE.

Course Content:

History and development of Industrial and Systems Engineering. Job areas for Industrial and Systems Engineers. Basic Industrial and Systems Engineering concepts. Steps of the system design process. Introduction to mathematical modelling and an overview of Operations Research models. Introduction to various Industrial and Systems Engineering subjects will be performed by guest speakers and department members whenever possible. Basics of Ms Word and MS Excel and intoduction to CORE during the lab hours.

Course Methodology:

1: Lecture, 2: Question-Answer, 3: Lab, 4: Case-study

Course Evaluation Methods:

A: Testing, B: Experiment, C: Homework, D: Project

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Course Learning Outcomes

Course Learning Outcomes	Program Learning Outcomes	Teaching Methods	Assessment Methods
Defines what Industrial and Systems engineering is and their job areas.	9	1,2	A
Formulate two variable linear programming problems and solves by the graphical method.	1	1,2	A,C
Uses Ms Excel’s basic properties such as formatting, copying and defining formulas. Can solve LP problems by using Solver.	4	1,2,3	A,C
Defines basic steps of the system design and can build the IDEF diagrams for a simple system by using the CORE software.	4	1,2,3	A,C,D
Defines basic concepts related to various subjects of Industrial and Systems Engineering.	9	1,2	A
Understands the time value of money and do the necessary calculations by using the compound interest formula.	1	1,2	A,C
Can draw a project network according to precedence relationship of the activities and calculate the project’s completion time.	2	1.2	A,C

Course Flow

COURSE CONTENT
Week	Topics	Study Materials
1	Introduction to engıneering	Lecture Notes
2	LEC: History and development of Industrial & Systems Engineering LAB: Introduction to online resources	Lecture Notes
3	LEC: Definition of Systems Engineering. Basic System Concepts LAB: Basics of MS Word	Lecture notes
4	LEC: Systems lifecycle and basic Systems Engineering processes LAB: Introduction to MS Excel	Lecture notes
5	LEC: Introduction to deterministic models in Operations Research LAB: Introduction to MS Excel	Lecture notes
6	LEC: Probabilistic models in Operations Research & Simulation LAB: Excel Solver	Lecture notes
7	LEC: Simple Linear Programming applications LAB: Excel Solver	Lecture notes
8	LEC: Economic Analysis LAB: Excel Functions	Lecture notes
9	LEC: Production Systems LAB: Lab Exam	Lecture notes
10	LEC: Quality Assurance Systems & Total Quality Management LAB: CORE	Lecture notes
11	MIDTERM EXAM LAB: CORE	Lecture notes
12	LEC: Introduction to Project Management and Network Theory LAB: CORE	Lecture notes
13	LEC: Man-Machine Systems LAB: CORE	Lecture notes
14	LEC: General Review LAB: CORE	Lecture Notes

Recommended Sources

RECOMMENDED SOURCES

Textbook

Lecture Notes: http://groups.yahoo.com/group/sye101_fall2013

Additional

Resources

Introduction to Industrial & Systems Engineering - Wayne C. Turner, et al

Systems Engineering and Analysis – B. S. Blanchard & W. J. Fabrycky

Introduction to Systems Engineering – A. P. Sage & J. E. Armstrong Jr.

Material Sharing

MATERIAL SHARING
Documents	Lecture notes, Lab Excel notes, Homework questions
Assignments	Assignments (1-6)
Exams	Midterm, Lab Exam, Final

Assessment

ASSESSMENT
IN-TERM STUDIES	NUMBER	PERCENTAGE
Mid-term Exam	1	38.46
Lab Exam	1	15.38
Assignments	6	23.08
Project	1	23.08
Total		100
CONTRIBUTION OF FINAL EXAMINATION TO OVERALL GRADE		35
CONTRIBUTION OF IN-TERM STUDIES TO OVERALL GRADE		65
Total		100

Course’s Contribution to Program

COURSE'S CONTRIBUTION TO PROGRAM
No	Program Learning Outcomes	Contribution
No	Program Learning Outcomes	1	2	3	4	5
1	Adequate background in Mathematics, Natural Sciences and the Industrial and Systems Engineering discipline.				X
2	Ability to identify, model and solve complex problems in the area of Industrial and Systems Engineering.			X
3	Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired requirements.
4	Ability to employ information technologies effectively in Industrial and Systems Engineering applications and develop and/or use modern techniques and tools for these applications.				X
5	Ability to design and conduct experiments and interpret results to analyze problems in the area of Industrial and Systems Engineering.
6	Ability to take responsibility both individually and as a team member to solve unforeseen problems that arise in intra-disciplinary and inter-disciplinary projects.
7	Ability to access information in the area of Industrial and Systems Engineering and to report and communicate this information to others using a foreign language (English) at the European Language Portfolio C1 General Level.
8	Ability to follow current issues and recent developments in science and technology by accessing databases and other sources of information and to continue to educate oneself.
9	Awareness of scientific and ethical responsibility in professional matters.			X
10	Ability to initiate innovative projects in the area of Industrial and Systems Engineering and to manage these projects considering all aspects.
11	Ability to identify the impact of Industrial and Systems Engineering applications on health, environment and safety; awareness of the legal consequences of Industrial and Systems Engineering solutions.

ECTS

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
Activities	Quantity	Duration (Hour)	Total Workload (Hour)
Course Duration (Lectures)	13	2	26
Lab Duration	12	1	12
Midterm Exam	1	2	2
Off-the-classroom study for the midterm exam	1	30	30
Lab Exam	1	1	1
Off-the-classroom study for the lab exam	1	30	30
Homework	6	8	48
Project	1	30	30
Final Exam	1	3	3
Off-the-classroom study for the final exam	1	30	30
Total Work Load			212
Total Work Load / 25 (h)			8,48
ECTS Credit of the Course			9

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