IE 331 Operations Research: Optimization
## IE 331 Operations Research: Optimization, Spring 2024

### MW 10:30 - 11:45 pm, E2-2 #1501

**Instructor**: Dabeen Lee (E2-2 #2109)

**Email**: dabeenl [at] kaist [dot] ac [dot] kr

**Office hours**: TBD

**Teaching Assistant**: Jaehyun Park (Email: jhpark [at] kaist [dot] ac [dot] kr) & Kihyun Yu (Email: khyu99 [at] kaist [dot] ac [dot] kr)

**Text**: No required text, but the following materials are helpful.

__Recommended textbooks and lecture notes__

__Operations Research: Applications and Algorithms__ by Wayne L. Winston.
__Applied Mathematical Programming__ by Stephen P. Bradley, Arnoldo C. Hax and Thomas L. Magnanti.
__Model Building in Mathematical Programming__ by H. Paul Williams.
__Introduction to Linear Optimization__ by Dimitris Bertsimas and John N. Tsitsiklis.
__Linear Programming__ by Robert J. Vanderbei.

**Syllabus** (pdf)

Operations Research & Management Science (ORMS) refers to analytical and quantitative techniques that are used in decision-making processes for organizations (including businesses). This course will focus on mathematical optimization and mathematical programming, arguably the most fundamental tool used for quantitative decision-making. We will learn basic yet fundamental frameworks to formulate a decision-making problem as a mathematical optimization model, taking into account data, constraints, and objectives. Topics include, but are not limited to, introduction to linear programming, network flow models, integer programming, scheduling, and stochastic programming.

### Lecture notes

- Mon 2/26: introduction (lecture note)
- Wed 2/28: modeling decision-making problems as optimization problems, introduction to linear programming (lecture note)
- Mon 3/04: Linearly representable functions, Representing optimization problems as linear programs (lecture note)
- Wed 3/06: Representing optimization problems as linear programs II, Production planning with dumping and penalty costs (lecture note)
- Mon 3/11: linear programming standard form, history of linear programming (lecture note)

### Announcements

### Past versions

Spring 2023