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:: Socio-Economic Systems Engineering ::
 | Post date: 2016/06/8 | 

" Socio Ecnomic System Engineering "

 

1-   Introduction

New education fields due to the different size of problems that must be solved, need to receive the required information from different disciplines to find the best solutions. These fields, due to the movement from the problem and considering its various dimensions and directed driving the sciences; specially in high level of research and education; have been particularly important in recent years that thereof it can be mentioned to System Engineering in which different systems of required society are studied and designed.

2-    Definitions and Objectives

Systems engineering is the process by which the needs of a complex system can be understood and then develop, test, and deploy elegant and harmonious solutions to meet that need. A solution is elegant when it appears simpler than the need that it fills and it is harmonious when it works well with all other systems in the context of that need. Systems engineering has the various analytical, design, and leadership tools that need to be successful in all levels of the needs (from designing a simple gage to tackling a grand global challenge such as food safety). What sets system engineering apart is its reliance on an integrated systems approach and application over a broad scope, including people, technology and organizational assessment and improvement. Systems engineers design, improve, and optimize processes, systems, or the products and services themselves.  In today’s competitive marketplace where continuous improvement and cost containment are paramount to organizational survival, this is an extremely critical role. The main aspects of system engineering include information technology, decision sciences and also the modeling, analysis, simulation, control, optimization and management of complex systems. The systems engineering studies, models and analyzes such systems and with considering the different aspects of these fields and also by attention to the needs, priorities, and possibilities of society will provide the best system. 

Unlike many traditional disciplines, system engineering is an issue-oriented discipline which uses a wide range of hard and soft systematic approaches to problem-solving. The dominant approaches discussed in this range from hard to soft include operations research, system design and analysis, system dynamics, organizational cybernetic, soft system methodology, interactive programming and postmodern systems approach. System thinking is so important in industrial engineering that the main difference of an industrial engineer and graduate of other engineering disciplines is system vision and systematic problem solving. Also, in terms of content, this discipline covers various applications areas such as healthcare systems, energy systems and service systems.   

The system engineering division in school of industrial engineering believes that a strong educational foundation is the key to a successful engineering career.  All of the students in this division are taught by distinguished faculty and the faculty of the group are dedicated to maintaining the high set of standards necessary to deliver a quality education. The group program in response to pleas from industry for engineers who not only had practical and operational depth in a particular discipline but who could also rise above disciplinary boundaries and take new solutions to organizations.   

3-   Necessity and Importance

The necessity and importance of this program can be specified as follows:

-       Because of the complexity and the different aspects and the impact of various factors on performance of the large scale systems, these systems should be programmed with the accurate scientific methods to reach the necessary performance and capable to meet the society requirements.  

-       Development and implementation of comprehensive planning system without expertise in this context is not practical.

-       Programing at each part has different dimensions and cannot be performed free from other parts. System engineering - based on its definition - can solve some parts of this problems.

4-   Graduate Skills

System Engineers take a systems perspective and assess all of the inputs and outputs - the people, money, machines, information, resources, and time – in order to do things better.  These engineers using mathematical models and methods make an impact through critical decision-making. Meanwhile, they are equipped with the unique skills they need to adapt the problems with their systematic knowledge and propose solution to different industries and application problems. Ability to work in teams and engaging in all production and service industries to solve problems and meet the needs; are the unique capabilities of systems engineers. In addition, they can accomplish all steps of architecture, design, develop, and deliver a completed project.

5-   Curriculum

In short, the program leading to master degree in systems engineering is as follows that subsequently each of them has been described. 

 

No

Course Title

Credits

1

Compulsory Core Courses

9

2

Elective Specialized Courses

15

3

Seminar & Thesis

8

Sum

32

 

 

 Compensation Courses

 

No

Course Title

Credits

1

Quantitative Methods in Industrial Engineering

3

2

Engineering Probability and Statistics

3

 

A.   Compulsory Core Courses

 

No

Course Title

Credits

1

Systems Modeling

3

2

Econometric I

3

3

System Dynamics

3

 

B.   Elective Specialized Courses

 

No

Course Title

Credits

1

Multi-Criteria Decision Making (MCDM)

3

2

Computer Simulation

3

3

Artificial Intelligence and Expert Systems

3

4

Strategic Planning

3

5

Fuzzy Theory and its Applications

3

6

Supply Chain Management (SCM)

3

7

Queue Systems

3

8

Operations Research II

3

9

Meta Heuristic Algorithms

3

10

Economic Development

3

11

Economic Evaluation of Projects

3

12

Human Resources Management (HRM)

3

13

Stochastic Processes

3

14

Modern Systems of Production Management

3

15

Time Series Analysis and Forecasting

3

16

Decision Support Systems (DSS)

3

17

Information Technology Master Plan

3

18

Information Technology Management

3

19

Game Theory

3

20

Design of Experiments

3

21

Econometric II

3

22

Performance Measurement Systems

3

23

Network Analysis

3

24

Robust Optimization

3

25

Special Topics I

3

26

Special Topics II

3

 

C.   Seminar & Thesis

 

No

Course Title

Credits

1

Research Method & Seminar

2

2

Thesis

6

 

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