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

 

M.S. Manufacturing
Systems Engineering

Manufacturing Systems Engineering at CSUN

Program Objectives

M.S. Program Curriculum

Facilities And Research


Manufacturing Systems Engineering at CSUN

The Master of Science in Manufacturing Systems Engineering facilitates in-depth knowledge of manufacturing systems based on engineering principles. The core foundation in computer-based and automated design, manufacturing and assembly is complimented by expertise in selected areas, such as automation and CAD/CAM, materials and processes, and quality and management. The evolving curriculum, contemporary laboratory facilities, and internationally published faculty enable students and practicing professionals to pursue a versatile field of study having a wide range of career opportunities. The program places its graduates in the academic community and in every facet of industry.                                             

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Program Objectives

The objectives of the Master of Science in Manufacturing Systems Engineering are to:
• expand student knowledge of manufacturing systems engineering principles;
• ensure student understanding of breadth and depth of manufacturing environments;
• enable student expertise in at least one of the following:
• capabilities in automation and CAD/CAM manufacturing systems; or
• understanding the behavior and properties of materials and processes; or
• competencies in quality and management engineering; and
• develop student knowledge and abilities needed in the industrial community.


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M.S. Program Curriculum 

Standard Core (12 units):

MSE 508/L CAD/CAM/Systems and Lab (2+1)
MSE 511/L Robotics with applications and Lab (2+1)
MSE 603 Computer Integrated Manufacturing (3)
MSE 614 Applications of Artificial Intelligence/
Expert Systems to CAD/CAM (3)

Required Specialization Courses (12 units)

Each student must choose one of the three areas of specialization as given below:

Automation and CAD/CAM:

MSE 409/L Fundamentals of Computer-Aided Manufacturing and Lab (3)
MSE 516/L CAD/CAM Advanced Tools and Lab (3)
MSE 607A Seminar in Automation Engineering (3)
MSE 609 Advanced Topics in CAD/CAM (3)

Materials and Processes:

MSE 512 Fundamentals of MEMS Fabrication (3)
MSE 513 NDE Methods and Analyses (3)
MSE 527/L Mechanical Behavior of Materials and Lab (2+1)
MSE 528/L Principles of Materials Engineering and Lab (2+1)

Quality and Management:

MSE 504 Engineering Management (3)
MSE 601 Engineering Statistics (3)
MSE 604 Economic Analyses of Engineering (3)
MSE 617 Seminar in Quality Management (3)

Approved Electives (12 units)

Recommended electives require faculty advisor guidance and approval, and can be selected from courses offered by the department, with the limitation of a maximum of two 400-level courses. Other electives may be suitable for meeting individual student program goals.

Culminating Experience

MSE 697  Directed Comprehension Studies (3)

 

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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.