Engineering Optimization (ENS 511)

2021 Spring
Faculty of Engineering and Natural Sciences
Engineering Sciences(ENS)
3
10.00
Mirehsan Hesam Sadatizamanabad msadati@sabanciuniv.edu,
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English
Doctoral, Master
--
Formal lecture
Interactive,Project based learning
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CONTENT

This course will cover optimization methods for solving engineering problems. The methods will include linear and nonlinear programming, integer programming, dynamic programming, network models and an introduction to metaheuristic algorithms. Special emphasis will be given to practical aspects.

OBJECTIVE

This course will expose students to operations research modeling and basic tools for optimization. It is designed for engineering students who do not have an industrial engineering background but would like to learn about modeling and optimization concepts. This course will be particularly useful for those who are likely to use these methods in their research and projects.

LEARNING OUTCOME

At the end of the course, the student is expected to have the ability to construct mathematical models of real life problems and to use appropriate methods/software to solve the constructed models.

ASSESSMENT METHODS and CRITERIA

  Percentage (%)
Final 35
Midterm 25
Exam 10
Assignment 15
Participation 5
Individual Project 10

RECOMENDED or REQUIRED READINGS

Textbook

Introduction to Operations Research 11th Edition by Frederick Hillier and Gerald Lieberman. (Publisher: McGraw-Hill)

Readings

- Operations Research: An Introduction, Global Edition, 10th Edition by Hamdy A. Taha (Publisher: Pearson)
- Optimization in Operations Research: Pearson New International Edition by Ronald L.Rardin (Publisher: Pearson)
- Engineering with Excel, 5th Edition by Ronald W Larsen (Publisher: Pearson)
- Algorithm Design: Pearson New International Edition, 1st Edition by Jon Kleinberg & Eva Tardos (Publisher: Pearson)