Izlence

Course Code & Number:

IE 471

Course Title:

Computational Tools for Industrial Engin

Level:

BS

Credit Hours/ ECTS Credits:

(2+2+0) 3 TEDU Credits, 5 ECTS Credits

Academic Year

2022

Semester

Fall

Catalog Description:

Introduction to computational tools. Algebraic modeling of selected Integer/Linear programs with GAMS. Mathematical and statistical modeling with Python and R. Solving LP, MIP and NLP models with Gurobi. Implementing selected optimization algorithms in Python and/or R. Shaping and analyzing data. Analyzing and visualizing data using Excel, R. Preliminary Statistical Analysis with R.

Pre-requisite / Co-requisite

Instructor:

Kamyar Kargar

Sap Event ID:

50200539

Learning Outcomes:

Upon successful completion of this course, a student will be able to
1. Model and implement algebraic formulations in GAMS, AMPL and Python/Gurobi,
2. Use various software and computer languages for solving operations research problems,
3. Develop selected LP/IP/NLP models and implement/solve these models using open source and commercial
solvers such as GLPK, Excel Solver, CPLEX and Gurobi.
4. Conduct data analysis, statistical analysis and data visualization using Excel, MATLAB, Octave, R, Python.

Learning Activities and Teaching Methods:

Assessment Methods and Criteria: