MANUFACTURING ENGINEERING
A Master
of Science Program at University of Southern
California
Contents of this
site:
·
Goal
·
Academic
and Professional Content
·
Manufacturing
Related Resources at USC
·
Requirements
for Admission
·
Requirements
for Completion
o
Core
Courses
o
Electives
·
Schedule
of Classes
Goal:
The goal of this new program is
to produce engineers who are capable of leading the manufacturing endeavor into
the 21st century, in a world characterized by the use of advanced technology,
global competition, environmental concerns, and quality (of products, life,
...). The program aims at producing graduates who will not only be familiar
with traditional topics in manufacturing engineering, such as materials and
processes, but also will have (i) a thorough
understanding of the Integrated Product and Process Design Paradigm, (ii) a
solid background in Information technology and its applications in design and
manufacturing, (iii) hands-on experience with modern manufacturing equipment
and commercial software, and (iv) exposure to real-world manufacturing problems
and organizations.
The new MS degree program
builds upon the existing strength in manufacturing education and research at USC's
Academic and Professional Content:
The program has the following
distinguishing academic contents and characteristics:
- Courses taught by practicing engineers from industry or by
academic-industrial teams.
- Faculty with experience in manufacturing R&D activities in
conjunction with the local industries.
- Required laboratory work, either at the university or at
industrial sites.
- A comprehensive outlook not focused on a narrow segment of the
product and process spectrum.
- A strong component of information technology, which is provided by
a close involvement of the Computer Science Department in the program.
- Student familiarity with commercially available hardware and
software. This is crucial if our graduates are to "hit the ground
running" when they take industrial positions. We sought and obtained
large donations of software from various vendors to support this program.
- Student involvement in research. This includes hands-on experience
with advanced manufacturing systems research modules, developed primarily
at USC and still at the research and prototyping phases. We believe this
will provide important information on what advanced technology can do, and
what to expect in the foreseeable future.
- An integrated view of manufacturing, design, assembly, inspection
and other activities in a product's life cycle. This will pervade
curriculum rather than be concentrated in particular course or set of
courses.
- USC Instructional Television Network and satellite uplink with the
Manufacturing Related Resources at USC:
Following is the list of the
research and educational laboratories at USC to support the courses offered in
the program:
- Robotics Research Laboratory - Computer Science (Dr. Maja Mataric, Dr. Gaurav Sukhatme)
- Programmable Automation Laboratory - Computer Science (Dr. Ari Requicha)
- Manufacturing Systems Laboratory - Industrial & Systems
Engineering (Dr. Berok Khoshnevis, Dr. Satisk Bukkapatnam)
- Rapid prototyping Research Laboratory - Industrial & Systems
Engineering (Dr. Berok Khoshnevis)
- Advance Collaboration Technology Laboratory (IMPACT) (Dr.Stephen Lu)
- Molecular Robotics Laboratory (Dr. Ari Requicha)
- Composite Materials Research Laboratory - Materials Science (Dr.
Steve Nutt)
- Controls Laboratory - Mechanical Engineering (Dr. Larry Redekopp)
- Computer Vision Laboratory - Computer Science / Elect. Engineering
(Dr. Ram Nevatia & Dr. Gerard Medioni)
- Micro-electro-mechanical Systems Laboratory - Information Sciences
Institute (Dr. Peter Will)
Requirements for Admission:
- GPA of 3.0 or more on a 4.0 scale.
- Bachelor's Degree in science or engineering from an accredited
school.
- Competitive GRE scores. The GRE requirement may be waived for
students with significant industrial experience in a related field.
- Minimum TOEFL score of 550 for all students whose first language
is not English, except those who hold university degree from a country in
which English is the spoken tongue.
- Specific prerequisite courses:
- Three semesters of calculus (Equivalent of MATH
125, MATH 126, and MATH 226)
- Three semesters of science, including two
semesters of physics or chemistry (Equivalent of PHYS151, PHYS152,
CHEM105ab)
- Introductory computer programming
- Introductory materials science (equivalent to
MS110L)
- Introductory manufacturing processes (equivalent
to ME232/ISE232)
- Introductory probability and statistics
- Other prerequisite courses may be assigned by
the student's advisor
Requirements for Completion:
A total of 30 units is required beyond the B.S. degree to complete the MS
Program. Each student must take at least 24 units from engineering departments.
Following are the specific requirements for completion of the program:
Core Courses:
Twelve
Engineering units:
- ISE 517: The Manufacturing
- ISE 511: Computer-Aided Manufacturing (3)
- ISE 525: Intermediate Engineering Statistics II OR ME 525: Engineering Analysis
- CS 585: Data Base Systems OR EE 450: Introduction to Computer Networks
Electives:
(18
units): From the provided list of electives or with consent of Program
Director. Elective courses will be available to provide focused specialties for
each student with the aid of the student's advisor. A maximum of 6 units of
electives may be taken from non-engineering departments such as
BUSINESS &
ENTREPRENEURSHIP
o
BAEP 551: Introduction
to New Ventures
o
BAEP 557: Technology
Transfer & Commercialization
o
ISE 585: Strategic
Management of Technology
AEROSPACE ENGINEERING
o
AE 481 Aircraft Design
o
AE 501 Spacecraft
System Design
o
AE 516ab Flight Vehicle
Stability and Control
o
AE 529 Aircraft
Structures Analysis
o
AE 546 Basic Aeroelasticity
COMPUTER SCIENCE
o
CS 455x Intro. to
Programming Systems Design
o
CS 460 Introduction to Artificial
Intelligence
o
CS 477L Design and
Construction of Large Software Systems
o
CS 480 Computer
Graphics
o
CS 482 Introduction to
Geometric Modeling
o
CS 485 File &
Database Management
o
EE 547 Software Methods
in Robotics
o
CS 551 Computer
Communications
o
EE 554 Real Time
Computer Systems
o
EE 559 Mathematical
Pattern Recognition
o
EE 560L Advanced
Microcomputer-Based Design
o
EE 561 Artificial
Intelligence
o
EE 574 Computer Vision
o
CS 577ab Software
Engineering
o
CS 582 Geometric
Modeling
o
CS 583 Computational
Geometry
o
CS 584 Intelligent
Systems for Design and Manufacture
o
CS 585 Database Systems
o
CS 598 Expert Systems
o
CS 615 Robotic Motion
Planning
ELECTRICAL ENGINEERING
o
EE 454L Introduction to
Systems Design Using Microprocessors
o
EE 472 Intro. to Lasers
and Laser Systems
o
EE 479 Intro. to
Integrated Circuit Design
o
EE 482 Linear Control
Systems
o
EE 504L
o
EE 536 Integrated
Circuit Analysis & Design
o
EE 537 Survey of
o
EE 543abL Digital Control
o
EE 544 Optimal Control
o
EE 545 Introduction to
Robotics
o
EE 546L Basic Robotics
Laboratory
o
EE 562a Random
Processing in Engineering
o
EE 569 Intro. to
Digital Image Processing
o
EE 577 VLSI System
Design
o
EE 584 Chaotic Systems
o
EE 585 Linear Systems
Theory
o
EE 587 Nonlinear
Control Systems
o
EE588 Linear Quadratic
Control
o
EE593 Multivariable
Control
o
EE 657 Parallel
Processing
o
EE 666 Data
Communication
o
EE 680 Computer Aided
Design of Digital Systems
o
I EE684 Optimum
Stochastic Control
o
EE685 Parameter
Identification & Adaptive Control
INDUSTRIAL & SYSTEMS
ENGINEERING
o
ISE 410 Production
Planning and Control
o
ISE 411 Facilities
Analysis and Design
o
ISE 415 Industrial
Automation
o
ISE 426 Statistical
Quality Control
o
ISE 435 Discrete Systems
Simulation
o
ISE 511L Computer-Aided
Manufacturing
o
ISE 513 Inventory
Systems
o
ISE 514 Industrial
Scheduling
o
ISE 515 Engineering
Project Management
o
ISE 516 Facilities
Location and Layout
o
ISE 517 Manufacturing
o
ISE 527 Advanced Quality
Control
o
ISE 528 Advanced
Statistical Aspects of Engineering Reliability
o
ISE 530 Introduction to
Operations Research
o
ISE 535 Continuous
Systems Simulation
o
ISE 538 Stochastic
Processes
o
ISE 540 Advanced Topics
in Work Measurement & Methods Analysis
o
ISE 561 Advanced
Engineering Economics
o
ISE 580 Advanced
Concepts in Simulation
MATERIALS SCIENCE
o
MS 472 Polymer Science
and Engineering
o
MS 475 Physical
Properties of Polymers
o
MS 511 Materials
Preparation
o
MS 513 Multilayered
Materials & Properties
o
MS 518 Semiconductor
Materials for Devices
o
MS 560 Fatigue and
Fracture
o
MS 583 Materials
Selection
o
MS 584 Fracture
Mechanics and Mechanisms
MECHANICAL ENGINEERING
o
ME 403 Stress Analysis
o
ME 407 Computer
Graphics for Mechanical Engineers
o
ME 408 Computer-Aided
Design of Mechanical Systems
o
ME 451 Linear Control
Systems I
o
ME 503 Advanced
Mechanical Design
o
ME504 Metallurgical
Design
o
ME 541 Linear Control
Systems II
o
ME 542 Nonlinear
Control Systems
o
ME 544 Computer Control
of Mechanical Systems
o
ME 548 Analytical
Methods in Robotics
Schedule of Classes:
Almost all classes for the
program meet in the evenings. The program may be completed in one to two years.
A part-time student taking two courses (6 units) per semester and one course in
summer may complete the program in two years.
For information about admission please contact:
Ms.
Evelyn Felina, Administrative Assistant, at (213)
740-7549, or
Dr. Berok Khoshnevis, Program Director, at (213) 740-4889
