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Syllabus

Infomation of Course

Program Bachelor [학사과정] Course Type Major Elective [ 전공선택 ]
Course Code 31.436 Course No IE436
Section English English
L:L:C(AU) 3:1:3.0(0) Exam time
(classroom)
- Tue: 09:00~11:45
()
Course Title Case Studies for Industrial & Systems Engineering [ 산업 및 시스템공학 사례연구 ]
Class time
(classroom)
Tue: 09:00~10:30 / (E11)Creative Learning Bldg. [ (E11)창의학습관 ] (407)
Thu: 09:00~10:30 / (E11)Creative Learning Bldg. [ (E11)창의학습관 ] (407)
Notice Education강의

Information of Professor

Name 장영재(JANG, Young Jae)
Department 산업및시스템공학과(Department of Industrial & Systems Engineering)
Phone 042-350-3130
E-Mail yjang@kaist.ac.kr

Plan of Lecture

Syllabus File Case Study for Industrial - Syllabus-2019.docx
Syllabus URL
Summary of Lecture Course Objectives:

In this course, you will
- Learn actual cases that have created meaningful results with Industrial & Systems Engineering approaches in various industries such as sports, healthcare, finance, manufacturing, advertisement, government, military, transportation, and IT industries.
- Gain understanding of Industrial & Systems Engineering methods applied in real-life.
- Understand how to apply I&SE techniques to various industry functions including marketing, engineering, business operations, product design, and strategic planning.

This course is highly recommended to students who are pursuing a career in business analystics, big data analytics, business consulting, project management, manufacturing engineering, business operations/planning, and other fields requiring strong analytical skills.

Course Overview:

It is a case-oriented class that covers major Industrial and Systems Engineering topics with various actual industry cases. This class is intended to address the growing demand in I&Systems Engineering students for real-life cases. To address this need, the class topics are selected a diverse, yet fundamental, set of cases from which to cover a number of major methods that are central to an introductory Industrial & Systems Engineering. The cases introduced in this class, for the most part, are somewhat longer and more complex than the typical short cases introduced in other theory-oriented classes.
Since this class deals with actual cases in various areas, industry specialists/practitioners will be often invited to address the real-life issues.

Material for Teaching No textbook required
Evaluation Criteria Quizzes & Reading Assignments 50%
Course participation 10%
Projects 40%
Lecture Schedule Topics (Tentative)

- 1(st) Week : Introduction
- 2(nd) Week : Optimization modeling and Micron Technology case - Investment Strategy
- 3(rd) Week : Optimization modeling and Micron Technology case - Investment Strategy
- 4(th) Week : Production Planning and Scheduling - Woongjin Chemical
- 5(th) Week : Production Planning and Scheduling - Woongjin Chemical
- 6(th) Week : Fast Fashion - Zata - Allocation modeling
- 7(th) Week : Fast Fashion - Zata - Allocation modeling
- 8(th) Week : Electric vehicle charging stations - Optimal investment modeling
- 9(th) Week : Electric vehicle charging stations - Optimal investment modeling
- 10(th) Week : Big Data Analytics - Data mining and optimization - Wall Mart case
- 11(th) Week: Big Data Analytics - Data mining and optimization - Wall Mart case
Memo