An overview of design, analysis and control of production and service operations; systems analysis of various functions within the enterprise; system dynamics analysis of complex interactions among different entities; fundamental industrial engineering tools and techniques for decision making at strategic, tactical and operational levels.
Introduction to Industrial Engineering (ENS 208)
2021 Spring
Faculty of Engineering and Natural Sciences
Engineering Sciences(ENS)
3
6.00 / 6.00 ECTS (for students admitted in the 2013-14 Academic Year or following years)
Amine Gizem Özbaygın ozbaygin@sabanciuniv.edu, Emre Özlü emreozlu@sabanciuniv.edu,
Click here to view.
English
Undergraduate
IF100 MATH102
Formal lecture,Interactive lecture,Recitation,Laboratory
Interactive,Learner centered,Communicative,Task based learning,Case Study
Click
here
to view.
| Programs\Type | Required | Core Elective | Area Elective |
| BA- Political Science | |||
| BA-Cultural Studies | |||
| BA-Cultural Studies | |||
| BA-Economics | |||
| BA-Economics | |||
| BA-International Studies | |||
| BA-International Studies | |||
| BA-Management | |||
| BA-Management | |||
| BA-Political Sci.&Inter.Relat. | |||
| BA-Political Sci.&Inter.Relat. | |||
| BA-Social & Political Sciences | |||
| BA-Visual Arts&Visual Com.Des. | |||
| BA-Visual Arts&Visual Com.Des. | |||
| BS-Biological Sci.&Bioeng. | |||
| BS-Computer Science & Eng. | * | ||
| BS-Computer Science & Eng. | * | ||
| BS-Electronics Engineering | * | ||
| BS-Electronics Engineering | * | ||
| BS-Industrial Engineering | * | ||
| BS-Manufacturing Systems Eng. | * | ||
| BS-Materials Sci. & Nano Eng. | * | ||
| BS-Materials Science & Eng. | * | ||
| BS-Mechatronics | * | ||
| BS-Mechatronics | * | ||
| BS-Microelectronics | |||
| BS-Molecular Bio.Gen.&Bioeng | |||
| BS-Telecommunications | * | ||
| Entrepreneurship | * |
CONTENT
OBJECTIVE
The objective of the course is to introduce the students the industrial engineering profession through fundamental problems that are of interest to modern industrial engineering professionals and familiarize the students with major analytical modeling tools and problem solution methods used by industrial engineers.
LEARNING OUTCOME
- implement algorithms for business problems that can be depicted as an analytical/mathematical problem
- develop mathematical models in the form of linear programming problem formulations and solve these problems with (commercial) solvers
- comprehend how variation and randomness in life/observations can be depicted with functions
- establish the link between industrial engineering and required professional skills
- identify IE problems that you can attack, formulate and solve
- familiarize with industrial engineering profession
Update Date:
ASSESSMENT METHODS and CRITERIA
| Percentage (%) | |
| Final | 35 |
| Midterm | 50 |
| Exam | 15 |