Basics of Optimization in Engineering

Basics of Optimization in Engineering, available at $19.99, has an average rating of 3, with 5 lectures, based on 2 reviews, and has 1000 subscribers.

You will learn about Describe the optimization problem with objectives, variables and constraints Model mathematically the optimization problem Solve the optimization problems using graphical method Employ Microsoft Excel to solve optimization problems Develop methods to solve multi-objective optimization This course is ideal for individuals who are Engineering students and professionals from all disciplines or Science students or Computer science students It is particularly useful for Engineering students and professionals from all disciplines or Science students or Computer science students.

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Summary

Title: Basics of Optimization in Engineering

Price: $19.99

Average Rating: 3

Number of Lectures: 5

Number of Published Lectures: 5

Number of Curriculum Items: 5

Number of Published Curriculum Objects: 5

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Describe the optimization problem with objectives, variables and constraints
Model mathematically the optimization problem
Solve the optimization problems using graphical method
Employ Microsoft Excel to solve optimization problems
Develop methods to solve multi-objective optimization

Who Should Attend

Engineering students and professionals from all disciplines
Science students
Computer science students

Target Audiences

Engineering students and professionals from all disciplines
Science students
Computer science students

This course aims to teach Engineering students and professionals how to use optimization in design, planning and operation of different engineering systems. The course starts with the reasons to use optimization to how to solve optimization problem followed by how to deal with multi-objective optimization. Optimization is a widely used technique in Operational Research that has been employed in a range of applications. The aim is to maximize or minimize a function (e.g. maximizing profit or minimizing environmental impact) subject to a set of constraints. The action of making the best or most effective use of a situation or resource. The result of optimization process is an optimal solution not optimum one. Everyday you do an optimization in your daily life. It could be a process to reach maximum or minimum of something like minimum cost or error maximum profit or reserve. However, in many situations, decision makers find themselves wanting to optimize several different objective functions at the same time. This leads to Multi-Objective Optimization (MOO). It is easy to see that if the multiple objectives do not coincide, this problem becomes considerably more difficult.

The course is very useful for:

±Communications system engineering

±Computer systems engineering

±Computer science and systems engineering

±Control systems engineering

±Earth systems engineering and management

±Electronic systems engineering.

±Enterprise systems engineering

±Environmental systems engineering.

±Petroleum systems engineering

±Power systems engineering.

±Process systems engineering

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Lecture 2

Lecture 1: Introduction to optimization and optimization in words

Chapter 3: Lecture 3

Lecture 1: Graphical method to solve optimization problems

Chapter 4: Lecture 4

Lecture 1: Linear programming for solving optimization problems

Chapter 5: Lecture 5

Lecture 1: Multi-objective optimization

Instructors

Hady H. Fayek
Doctor of Electrical Power Engineering

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1 stars: 1 votes
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5 stars: 1 votes

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