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Department of Manufacturing Systems Engineering and Management
College of Engineering and Computer Science

 

M.S. Automation Engineering

Automation Engineering at CSUN

Program Curriculum

Facilities And Research


Automation Engineering at CSUN

CAD, CAM, CIM, APT, AI, I-DEAS, ES, AML, CATIA, CNC, STL …    the alphabet soup of modern graphics-based design and manufacturing has been well  established at Cal State Northridge since the early 1980s, when the first courses for the Automation Engineering graduate program were introduced.

The development and upgrading of laboratory facilities, a continually evolving curriculum, and faculty and student research, have combined to provide students with opportunities to enter a multidisciplinary field in high demand in a wide range of industry. The knowledge and skills gained are required in major areas, such as Advanced Manufacturing Technologies and Biotechnology, that have been targeted for rapid development by the national science Foundation.

The Automation engineering program provides an opportunity to develop expertise in  the theory and application of computer-aided design and manufacturing, graphical methods, computer integrated manufacturing, expert systems, robotics, and factory automation. Proficiencies developed in the program are applicable to numerous fields, such as architecture, computer science, engineering, entertainment, industrial design, manufacturing, and medicine. Application areas include system design and implementation, three-dimensional modeling, information management, computer graphics, communications networks, distributed computer and client/server architectures, databases, and robotic control.

Students from a variety of academic and professional backgrounds are welcomed in the program, enabling a rich array of interdisciplinary team and learning experiences.

Courses are scheduled to accommodate employed professionals who are part-time students. Primary program faculty are internationally published and have a wide range of academic and industry experiences to share with their students.                                             

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M.S. Program Curriculum 

The goal of the Automation Engineering program is to provide learning experiences reflecting the current theories in computer integrated manufacturing, factory automation, and computer-aided design, engineering, and manufacturing. A core program is augmented by a wide range of electives, and laboratory facilities are available for instruction and research.

Standard Core (15 units):

MSE 408/L Principles of CAD/CAM (2+1)
MSE 411/L Robotics (2+1)
MSE 603 Computer Integrated Manufacturing (3)
MSE 609 Advanced Topics in CAD/CAM (3)
MSE 697 Comprehensive Directed Studies (3)

Approved Electives (18 units) :

Elective courses are selected with the guidance and approval of a faculty advisor. Electives may include relevant courses in computer science, manufacturing systems, engineering management, materials engineering, automation, and management science.

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Facilities and Research 

The development of the Boeing Automation Engineering Laboratory was initiated in the mid-1980s. Continuing hardware and software improvements have been facilitated by major industry contributions, Laboratory equipment includes a complete CIM systems, as well as CNC lathes and milling machines, plus rapid prototyping capability. Software available in supporting computing areas includes AutoCAD, CATIA, I-DEAS, Master CAM, APT, and Simfactory.

 Research topics pursued since the early 1990s have included: 

  • Subpixel edge estimation in machine vision.

  • Flight test environment expert system applications

  • Remote control of industrial robots via the Internet

  • Integration of limited automation into existing manufacturing

  • Selective assembly using high precision robotics

  • Data integrity in CAD/CAM systems  CIM-oriented CAD systems

  • Database modeling for design and manufacturing environments

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Last Updated on:09/09/2007

MSEM Webpages developed by Behnoud Harati. For help with the website please contact msem@csun.edu.