YEDITEPE UNIVERSITY
SYSTEMS ENGINEERING

  Systems Engineering is concerned with the design, production, and maintenance of reliable systems within cost and time constraints.
 
 Systems engineers apply an appropriate combination of theories and tools, carried out through the use of asuitable methodology and a set of system management procedures, to address   real world problems that are often of large scale and scope.

 Systems engineering activities vary from requirements definition or specification to the conceptual and functional development of systems.

LABORATORIES

Laboratories belonging to the Systems Engineering Department are being arranged according to the applications done in optimization, simulation, planning, industrial control, and automation.

In our department we have 4 education and research laboratories;

1) Control and Automation Laboratory

2) Advanced Control Laboratory

3) Simulation and Statistics Laboratory

4) Computer Integrated Manufacturing Laboratory (CIM)

We continue updating our laboratories with the improving technology and adding new equipments according to the students needs. The specifications of the computers being used are; Pentium IV 2.0 GHz processor and 256 MB DDR RAM + 40GB HDD + DVD-ROM + CD-RW. Besides the stated applications, it is possible for the students to work on their projects, homework, and lessons with the full equipment and software.

The equipments and the aim of usages can be summarized as follows:

 

Name	Equipment and Description
Control and Automation Laboratory	Equipment	Aim
	- 5 ea. FESTO Proses Control Compact Unit - 3 ea. Feedback Servo Control Unit - 1 ea. Siemens S7-300 PLC - PLC and SCADA Software -9 ea. PC	Modelling of physical systems Basic feedback concept Design of a controller Analyzing stability PLC Programming SCADA Systems Engineering Projects  Competition
Computer Integrated Manufacturing Laboratory (CIM)	Equipment	Aim
	-ASRS, Conveyor FESTO CIM containing 6 axis Mitsubishi Robot -EMCO TURN105 CNC lathe -19 ea. PC	CIM principles CIM Programming techniques Engineering project workshops Lathe practices on CNC
Simulation and Statistics Laboratory	Equipment	Aim
	30 ea. PC	Statistics System Simulation System Optimization
Advanced Control Laboratory	Equipment	Aim
	-1 ea. Feedback Magnetic Lifting -1 ea. Feedback Reverse Pendulum	Modelling of non-linear systems SVF Controller design Stability Analysis Advanced Control Techniques Graduate Thesis

PICTURES FROM LABS