IE 371

Course ID:

Course Code & Number

IE 371

Course Title

Computational Tools for Industrial Eng.

Level

BS

Credit Hours/ ECTS Credits

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

Year of Study:

Junior

Semester:

Fall

Type of Course:

Compulsory

Mode of Delivery:

Face-to-face

Language of Instruction:

English

Pre-requisite / Co-requisite::

Catalog Description

Introduction to computational tools that are particularly useful for industrial engineers. Algebraic modeling of selected Integer/Linear programs with GAMS. Mathematical and statistical modeling with Python and/or R. Solving LP, MIP and NLP models with Gurobi. Implementing selected optimization algorithms in Python and/or R. Shaping and analyzing data to extract insights, visualizing findings to communicate results. Analyzing and visualizing data using Excel and R.

Course Objectives

The main objective of this course is to introduce useful computational tools for industrial engineers, implementation of algebraic models in different computer languages/environments, and developing skills to computationally perform statistical analysis and visualization of data.

Software Usage

R, Python, GAMS, GUROBI

Course Learning Outcomes

Upon successful completion of this course, students will be able to
1. Implement algebraic formulations in GAMS and Python/Gurobi,
2. Solve selected LP/MIP/NLP models using sowtware tools such as CPLEX and Gurobi,
3. Perform data analysis and statistical analysis using R/Python,

4. Perform data visualization using Excel and R/Python.

Learning Activities and Teaching Methods:

Telling/Explaining Discussion/Debate Questioning Reading Demonstrating Problem Solving Web Searching

Assessment Methods and Criteria:

Test / Exam Lab Assignment Case Studies / Homework

Assessment Methods and Criteria Others:

Design Content

Recommended Reading

Required Reading

Grading

Learning Activities and Teaching Methods Others:

Course Coordinator:

Mehmet R. Taner

Student Workload:

Workload	Hrs
Lectures	28
Course Readings	30
Hands-on Work	28
Exams/Quizzes	39
Total	125

Course & Program Learning Outcome Matching: