|
Catalog
& Student Handbook 2007-2008
Department of Engineering and Science
Engineering
Engineering - Full-time Faculty
| Faculty |
Position |
Degree and Institution |
Teaching Area |
| Brown, Roger H. |
Clinical Assistant Professor |
M.S.E.E., University of Illinois |
Networks, Security |
Cassenti, Brice N. |
Clinical Associate Professor |
Ph.D., Polytechnic Institute of Brooklyn |
Mathematics, Dynamics, Applied Mechanics |
Gutierrez-Miravete,
Ernesto |
Clinical Associate Professor |
Ph.D., Massachusetts Institute of Technology |
Modeling and Simulation
Metal Processing |
| Mesiya, Mohammed F. |
Clinical Associate Professor |
Ph.D. Queen's University (Canada) |
Communications,
Networks |
| Younessi, Houman |
Clinical Professor |
Ph.D. Swinburne University of Technology (Australia) |
Systems Engineering |
Engineering - Faculty Emeriti
| Faculty |
Position |
Degree and Institution |
| Krahula, Joseph L. |
Professor Emeritus |
Ph.D., University of Illinois |
Engineering - Adjunct Faculty
| Adjunct Faculty |
Position |
Degree and Institution |
Teaching Area |
Annigeri, Balkrishna S.
|
Adjunct Professor
|
Sc.D., Massachusetts Institute
of Technology |
Applied Mechanics
Technology |
Bak, Michael
|
Adjunct Professor
|
Ph.D., University of Connecticut |
Applied Mechanics |
Bortoff, Scott A.
|
Adjunct Professor
|
Ph.D., University of Illinois |
Control System Design,
Signals & Systems,
Embedded Systems |
Bose, Sudha
|
Adjunct Professor
|
Ph.D., University of California
at Berkeley |
Metallurgy, Coatings,
Hi-Temp, Ceramics |
| Brown, Kenneth W. |
Adjunct Professor |
Ph.D., Rensselaer Polytechnic Institute |
Finite Element Methods |
Dennis, Anthony J.
|
Adjunct Professor
|
Ph.D., University of Connecticut
|
Applied Mechanics
|
Donachie, Matthew J., Jr.
|
Adjunct Professor
|
Sc.D., Massachusetts Institute
of Technology |
Metallurgy
|
| Fazi, Hussain M. |
Adjunct Professor
|
Ph.D., Penn State |
Controls, Networks
|
| LaBarre, Robert E. |
Adjunct Professor |
Ph.D., University of Connecticut |
Mathematics |
| Marcin, John J. |
Adjunct Professor |
M.S., Rensselaer Polytechnic Institute |
Metallurgy |
| Moon, Paul R. |
Adjunct Professor |
Ph.D.E.E. University of Manitoba |
DSP, Control Systems, Circuit Design, Communication Systems |
Quinn, Joseph W.
|
Adjunct Professor
|
M.S., Trinity College
|
DSP, Instrumentation
Measurement
Probability |
Tew, David E.
|
Adjunct Professor
|
Ph.D., Massachusetts Institute of
Technology |
Theory of Potential
Flow, Turbulence |
Wagner, Timothy C.
|
Adjunct Professor
|
Ph.D., Virginia Polytechnic Institute
and State University |
Radiation Heat
Transfer, Propulsion |
Engineering
Rensselaer offers an engineering curricula designed to accomodate
the evolving needs of the practicing engineer. Each curriculum helps students establish
and build on a solid theoretical base while allowing them to practice their
skills. This blend of academic excellence and industrial experience creates
a unique learning environment for engineering students at Rensselaer. Degree programs are offered in Mechanical Engineering, Electrical
Engineering, Computer and Systems Engineering, and Engineering Science
together with Graduate Certificate Programs in
Control Systems and High-Temperature Materials
Engineering Degrees
Master of Engineering and Master of Science degrees are offered in selected
engineering disciplines. The Master of Engineering degrees require
completion of a three credit project as a culminating experience
while Master of Science degree candidates must carry out research leading
to a six credit thesis. Apart from that, the curricula for both degrees are
identical. The Master of Engineering degree is designed to fulfill the needs
of practicing engineers in industry while the Master of Science degree is
for those focused on a research career.
The following
engineering degrees are being awarded (click each to go to that section):
Candidates for the master's degree must complete an advisor
approved plan of study consisting of:
- At least
30 credit hours beyond the bachelor's degree with cumulative GPA of 3.0/4.0 or higher.
- At least
18 of the total credit hours presented toward the degree must have the
suffix numbers 6000-6990 or 7000-7990
- At least 21 of the total credit hours presented towards the degree
must be from courses taken within the discipline.
A student may transfer credits for 2 graduate-level (equivalent to 6000 or 7000 level in the Rensselaer at Hartford Catalog) courses (total of 6 credit hours) taken at an accredited graduate school with the grade(s) of “B” or better. The transfer/waiver process must be approved by the faculty advisor and the Assistant Dean for Academic Programs. Transfer courses must be relevant to the program of study being pursued by the student at Rensselaer.
Students must prepare
their Plan of Study together with their
advisor and have it reviewed and approved by the advisor and the program
corrdinator before completion of their fourth course. All the above
requirements must be completed within three years of admission.
Culminating Experience
(Engineering Project/Engineering Thesis)
The culminating experience is a requirement
for the master's degree in Connecticut. It may be fulfilled by either of the
following:
- Completing a three-credit-hour master's
project along with 27 credit hours of appropriate course work thus leading
to the Master of Engineering degree.
- Completing a six-credit-hour master's
thesis along with 24 credit hours of appropriate course work thus leading to the Master of Science degree.
Electrical Engineering
The Rensselaer at Hartford master's program in Electrical Engineering allows students to increase their competence in a number of Electrical Engineering subjects, particularly in Digital Communications and Signal Processing, Control Systems, and Communication Networks.
Admission Requirements
- Students who have received a B.S. degree in Electrical Engineering or Computer
Engineering from an accredited institution, a GPA in the upper quartile, and some work experience
in a high-technology environment.
- Students with a B.S. degree in another engineering discipline, mathematics, or physics may be admitted subject to fulfillment of the following Electrical Engineering Background Requirements.
Electrical Engineering Background Requirements
- Advanced Mathmatics (i.e. Complex Variables,
Laplace Transforms, Fourier Analysis, Probability) (One term)
- Electric Circuits (one term)
- Electronic Circuits (two terms)
- Signals and Systems (one term)
- Digital Logic (one term)
- Technical Design Elective (e.g., Communications
Systems, Control Systems Engineering, Computer Networks) (one term)
Students lacking any of the above courses
must consult with their advisor to devise a plan for corrective action.
Areas of Specialization
Students must include in their plan of study a sequence of three 6000 (or 7000) level courses in at least one of the following areas of specialization:
- Digital Communications and Signal Processing
- Control Systems
- Communication Networks
Electrical Engineering Program Requirements
The Master's degree is awarded on successful completion of the following:
Required Core (15 credits)
ECSE-6510 Introduction to Stochastic Signals and Systems
ECSE-6400 Systems Analysis Techniques
ECSE-6560 Digital Communications Engineering
ECSE-6620 Digital Signal Processing
ECSE-6980 Engineering Project
Electives (15 credits)
ECSE-4440 Control Systems Engineering
ECSE-4490 Fundamental of Robotics
ECSE-4670 Computer Communication Networks
ECSE-4770 Computer Hardware Design
ECSE-6050 Advanced Electronic Circuits
ECSE-6410 Robotics and Automations Systems
ECSE-6420 Nonlinear Control Systems
ECSE-6440 Optimal Control Theory
ECSE-6460 Multivariable Control Systems
ECSE-6590 Wireless Communications and Networks
ECSE-6630 Digital Image and Video Processing
ECSE-6660 Broadband and Optical Networking
ECSE-6960 Topics in Electrical Engineering, LANs, MANs, and Internetworking
ECSE-6960 Topics in Electrical Engineering, Embedded Digital Control Systems
ECSE-6960 Topics in Electrical Engineering, Applied Digital Signal Processing
ECSE-6960 Topics in Electrical Engineering, Mechatronics
ECSE-7010 Optical Fiber Communications
ECSE-7100 Real-Time Programming and Applications
ECSE-4960 Fundamentals of Signals and Systems
(prerequisite course – not credited towards M.S. or M.Eng. degree)
Example Curricula for Three Areas of Specialization
Digital Communications and Signal Processing
ECSE-6510 Introduction to Stochastic Signals and Systems
ECSE-4670 Computer Communications Networks
ECSE-6400 Systems Analysis Techniques
ECSE-6560 Digital Communications Engineering
ECSE-6620 Digital Signal Processing
ECSE-6630 Digital Image and Video Processing
ECSE-6590 Wireless Communications and Networks
ECSE-7010 Optical Fiber Communications
ECSE-6960 Topics in Electrical Engineering, Applied Digital Signal Processing
ECSE-6980 Engineering Project
Control Systems
ECSE-4440 Control Systems Engineering
ECSE-4490 Fundamentals of Robotics
ECSE-6510 Introduction to Stochastic Signals and Systems
ECSE-6400 Systems Analysis Techniques
ECSE-6420 Nonlinear Control Systems
ECSE-6440 Optimal Control Theory
ECSE-6460 Multivariable Control Systems or ECSE-6960 Embedded Digital Control Systems
ECSE-6560 Digital Communications Engineering
ECSE-6620 Digital Signal Processing
ECSE-6980 Engineering Project
Communication Networks
ECSE-6510 Introduction to Stochastic Signals and Systems
ECSE-4670 Computer Communications Networks
ECSE-6400 Systems Analysis Techniques
ECSE-6560 Digital Communications Engineering
ECSE-6620 Digital Signal Processing
ECSE-6960 Topics in Electrical Engineering, LANs, MANs, and Internetworking
ECSE-6660 Broadband and Optical Networking
CISH-6230 Network Management or ECSE-6960 Topics in Electrical Engineering , Cryptography and Network Security
ECSE-7010 Optical Fiber Communications
ECSE-6590 Wireless Communications and Networks
ECSE-6980 Engineering Project
M.S. in Electrical Engineering Program Requirements
The M.S. requirements are the same as those for the M.Eng. in Electrical Engineering, except for the substitution of a 6-credit-hour thesis in place of one elective and the three-credit-hour project.
Please contact Professor Farooque Mesiya at mesiyf@rpi.edu if you have any questions about the Electrical Engineering
program.
Computer and Systems Engineering
The Master of Engineering in Computer
and Systems Engineering provides the student with the appropriate hardware
and software tools needed in such critical areas as digital communciations
and signal processing, robotics and automation systems, computer communication
networks, and software engineering.
Admission Requirements
- Students who have received a B.S. degree in Electrical Engineering, Computer
Engineering, or Computer Science
- Students with a B.S. degree in another engineering discipline, mathematics, or physics, subject to the condition that the following essential prerequisites for their chosen area of specialization have been completed:
Digital Communications and Signal
Processing
ECSE-2010 Electrical Circuits
ECSE-2410 Signals and Systems (or ECSE-4960 Fundamentals of Signals and Systems)
ECSE-2610 Computer Components and Operations (or CISH-4030 Structured Computer Architecture)
Computer Communications Networks
ECSE-2010 Electrical Circuits
ECSE-2410 Signals and Systems (or ECSE-4960 Fundamentals of Signals and Systems)
ECSE-2610 Computer Components and Operations (or CISH-4030 Structured Computer Architecture)
Robotics and Automation Systems
ECSE-2010 Electrical Circuits
ECSE-2410 Signals and Systems (or ECSE-4960 Fundamentals of Signals and Systems)
ECSE-2610 Computer Components and Operations (or CISH-4030 Structured Computer Architecture)
Software Engineering
CSCI-1100 Computer Science I
ECSE-4960 Fundamentals of Signals and Systems
CSCI-2300 Data Structures and Algorithms (or CISH-4020 Object Structures)
ECSE-2610 Computer Components and Operations (or CISH-4030 Structured Computer Architecture)
Preparatory courses do not apply toward the minimum 30 credit hours required for the
Master of Engineering degree.
Areas of Specialization
Students must include in their plan of study a sequence of three 6000 or 7000
level courses in at least one of the following areas of specialization:
- Digital Communications and Signal Processing
- Robotics and Automation Systems
- Computer Communication Networks
- Software Engineering
M.Eng. in Computer and Systems Engineering Program Requirements
Required Core (15 credits)
CSCI-4210 Operating Systems or ECSE-4440 Control Systems Engineering
ECSE-6510 Introduction to Stochastic Signals and Systems
ECSE-4670 Computer Communication Networks
ECSE-6620 Digital Signal Processing
ECSE-6980 Engineering Project
Electives (15 credits)
ECSE-4490 Fundamental of Robotics
ECSE-4770 Computer Hardware Design
ECSE-6050 Advanced Electronic Circuits
ECSE-6410 Robotics and Automations Systems
ECSE-6420 Nonlinear Control Systems
ECSE-6440 Optimal Control Theory
ECSE-6460 Multivariable Control Systems
ECSE-6560 Digital Communications Engineering
ECSE-6590 Wireless Communications and Networks
ECSE-6630 Digital Image and Video Processing
ECSE-6660 Broadband and Optical Networking
ECSE-6770 Software Engineering I
ECSE-6780 Software Engineering II
ECSE-6960 Topics in Electrical Engineering, LANs, MANs, and Internetworking
ECSE-6960 Topics in Electrical Engineering, Embedded Digital Control Systems
ECSE-6960 Topics in Electrical Engineering, Applied Digital Signal Processing
ECSE-6960 Topics in Electrical Engineering, Cryptography and Network Security
ECSE-6960 Topics in Electrical Engineering, Mechatronics
ECSE-7010 Optical Fiber Communications
ECSE-7100 Real-Time Programming and Applications
CISH-6010 Object-Oriented Programming and Design
CISH-6050 Software Engineering Management
CISH-6320 GUI Building
CISH-6510 Web Application Design and Development
ECSE-4960 Fundamentals of Signals and Systems
(prerequisite course – not credited towards M.S. or M.Eng. degree)
Example Curricula for Four Areas of Specialization
Digital Communications and Signal Processing
ECSE-6510 Introduction to Stochastic Signals and Systems
ECSE-4670 Computer Communication Networks
ECSE-4440 Control Systems Engineering
ECSE-6400 Systems Analysis Techniques
ECSE-6560 Digital Communications Engineering
ECSE-6620 Digital Signal Processing
ECSE-6630 Digital Image and Video Processing or ECSE-6660 Broadband and Optical Networking
ECSE-7010 Optical Fiber Communications
ECSE-6590 Wireless Communications and Networks
ECSE-6960 Topics in Electrical Engineering, Applied Digital Signal Processing
ECSE-6980 Engineering Project
Robotics and Automation Systems
ECSE-4440 Control Systems Engineering
ECSE-4490 Fundamental of Robotics
ECSE-6510 Introduction to Stochastic Signals and Systems
ECSE-4670 Computer Communication Networks
ECSE-6400 Systems Analysis Techniques
ECSE-6420 Nonlinear Control Systems
ECSE-6440 Optimal Control Theory
ECSE-6460 Multivariable Control Systems or ECSE-6960 Embedded Digital Control Systems
ECSE-6620 Digital Signal Processing
ECSE-6960 Topics in Electrical Engineering, Mechatronics
ECSE-6980 Engineering Project
Computer Communication Networks
ECSE-6510 Introduction to Stochastic Signals and Systems
ECSE-4670 Computer Communication Networks
ECSE-6960 Topics in Electrical Engineering, LANs, MANs, and Internetworking
ECSE-4440 Control Systems Engineering
ECSE-6560 Digital Communications Engineering
ECSE-6620 Digital Signal Processing
ECSE-6660 Broadband and Optical Networking
CISH-6230 Network Management or ECSE-6960 Topics in Electrical Engineering, Cryptography and Network Security
ECSE-7010 Optical Fiber Communications or ECSE-6590 Wireless Communications and Networks
ECSE-6980 Engineering Project
Software Engineering
ECSE-6510 Introduction to Stochastic Signals and Systems
CISH-4210 Operating Systems
ECSE-4670 Computer Communication Networks
ECSE-6620 Digital Signal Processing
ECSE-6770 Software Engineering I
ECSE-6780 Software Engineering II
CISH-6050 Software Engineering Management
CISH-6010 Object-Oriented Programming and Design
CISH-6230 GUI Building or CISH-6510 Web Application Design and Development
ECSE-6980 Engineering Project
Please contact Professor Farooque Mesiya at mesiyf@rpi.edu if you have any questions about the Computer and Systems
Engineering program.
Engineering Science
The Master of Science in Engineering Science degree serves students whose educational needs do not correspond to the standard professional engineering curricula. It allows students to tailor a plan of study to their particular requirements. Each student's course of study is developed in close consultation with the advisor to allow meaningful and strongly directed interdisciplinary approach.
The degree awarded in this area is not, nor is it intended to be, accredited for practice. Students entering the Engineering Science program are expected to hold a Bachelor of Science degree in one of the traditional engineering disciplines. Applicants not holding such degree must have evidence of coursework in at least:
- Mathematics, through Ordinary Differential Equations (three terms or 12 credits)
- Physics (two terms)
- Chemistry and/or Engineering Materials (one term)
- Mechanics (one term)
- Electronics/Circuits (one term)
- Probability and Statistics (one term)
Students lacking one or more of these courses are expected to take corrective action before entering the Engineering Science program.
Please contact Professor Ernesto Gutierrez-Miravete at gutiee@rpi.edu if you have
any questions about the Engineering Science program.
Mechanical Engineering
The master's degrees in mechanical engineering allow the student to increase his
or her competence in a number of mechanical engineering subjects, or to specialize in depth in the areas
of fluid mechanics, heat transfer, mechanical design, solid mechanics, or
thermodynamics.
Admission Requirements
- Students who have received a B.S. degree in Mechanical Engineering
from an accredited institution, a GPA in the upper quartile, and some work experience
in a high-technology environment.
- Students with a B.S. degree in another engineering discipline, mathematics, or physics may be admitted subject to fulfillment of the following background requirements.
Mechanical Engineering Background Requirements
- Chemistry (one additional term)
- Dynamics (one term)
- Fluid Mechanics(one term)
- Machine Design (one term)
- Mechanisms (one term)
- Statics (one term)
- Strength of Materials (one term)
- Heat Transfer (one term)
- Thermodynamics (one term)
Students lacking any of the above courses
must work closely with their advisor to devise a plan for corrective action.
Mechanical Engineering Program Requirements
The Master's degree is awarded on successful completion of the following:
Required Core (15 credits)
MANE-5000 Advanced Engineering Mathematics I
MANE-7000 Advanced Engineering Mathematics II
MANE-5100 Mechanical Engineering Foundations I
MANE-7100 Mechanical Engineering Foundations II
MANE-6980 Mechanical Engineering Project (Culminating Experience
Electives (15 credits)
In consultation with advisor, select five courses from a single or several speciality area(s).
Speciality Area: Solids
MANE-4240 Introduction to Finite Elements
MANE-4610 Vibrations
MANE-4650 Fracture Mechanics
MANE-6180 Mechanics of Composite Materials
MANE-6200 Plates and Shells
MANE-6960 Advanced Topics in Finite Element Analysis
Speciality Area: Fluids
MANE-4800 Boundary Layers and Heat Transfer
MANE-5060 Introduction to Compressible Flow
MANE-5080 Turbomachinery
MANE-6530 Turbulence
MANE-6550 Theory of Compressible Flow
MANE-6720 Computational Fluid Dynamics
Speciality Area: Thermal Systems
MANE-6540 Advanced Thermodynamics
MANE-6630 Conduction Heat Transfer
MANE-6640 Radiation Heat Transfer
MANE-6650 Convection Heat Transfer
MANE-6840 An Intro to Multiphase Flow and Heat Transfer
MANE-6830 Combustion
Speciality Area: Manufacturing and Materials
DSES-6110 Introduction to Applied Statistics
MTLE-4260 High Temperature Alloys
MTLE-6960 High Temperature Coatings Engineering
MTLE-7061 Casting and Joining Processes
Example Curricula for Master
of Engineering in Mechanical Engineering
Solid Mechanics Focus
MANE-5000 Advanced Math for Engineers I (4000-level)
MANE-5100 Foundations of Mechanical Engineering I (4000-level)
MANE-6180 Mechanics of Composite Materials
MANE-6200 Plates and Shells
MANE-6310 Non-linear Vibrations
MANE-6960 Advanced Topics in Finite Element Analysis
MANE-6980 Engineering Project
MANE-7000 Advanced Math for Engineers II (6000-level)
MANE-7100 Foundations of Mechanical Engineering II (6000-level)
Thermofluids Focus
MANE-4800 Boundary Layers and Heat Transfer
MANE-5000 Advanced Math for Engineers I (4000-level)
MANE-5100 Foundations of Mechanical Engineering I (4000-level)
MANE-6630 Conduction Heat Transfer
MANE-6650 Convection Heat Transfer
MANE-6720 Computational Fluid Dynamics
MANE-6980 Engineering Project
MANE-7000 Advanced Math for Engineers II (6000-level)
MANE-7100 Foundations of Mechanical Engineering II (6000-level)
Computational Focus
DSES-6110 Introduction to Applied Statistics
MANE-4240 Introduction to Finite Elements
MANE-5000 Advanced Math for Engineers I (4000-level)
MANE-5100 Foundations of Mechanical Engineering I (4000-level)
MANE-6530 Turbulence
MANE-6720 Computational Fluid Dynamics
MANE-6980 Engineering Project
MANE-6960 Advanced Topics in Finite Element Analysis
MANE-7000 Advanced Math for Engineers II (6000-level)
MANE-7100 Foundations of Mechanical Engineering II (6000-level)
Manufacturing/Materials Focus
MANE-4240 Introduction to Finite Elements
MANE-4650 Fracture Mechanics
MTLE-4260 High Temperature Alloys
MANE-5000 Advanced Math for Engineers I (4000-level)
MANE-5100 Foundations of Mechanical Engineering I (4000-level)
MANE-6980 Engineering Project
MANE-7000 Advanced Math for Engineers II (6000-level)
MANE-7100 Foundations of Mechanical Engineering II (6000-level)
MTLE-6960 High Temperature Coatings Engineering
MTLE-7061 Casting and Joining Processes
Multidisciplinary Focus
DSES-6110 Introduction to Applied Statistics
MANE-4240 Introduction to Finite Elements
MANE-4800 Boundary Layers and Heat Transfer
MANE-5000 Advanced Math for Engineers I (4000-level)
MANE-5100 Foundations of Mechanical Engineering I (4000-level)
MANE-6540 Advanced Thermodynamics
MANE-6830 Combustion
MANE-6980 Engineering Project
MANE-7000 Advanced Math for Engineers II (6000-level)
MANE-7100 Foundations of Mechanical Engineering II (6000-level)
MTLE-4260 High Temperature Alloys
M.S. in Mechanical Engineering Program Requirements
The M.S. requirements are the same as those for the M.Eng. in Mechanical
Engineering, except for the substitution of a 6-credit-hour thesis in place
of one elective and the three-credit-hour project.
Please contact Professor Ernesto Gutierrez-Miravete at gutiee@rpi.edu if you have
any questions about the Mechanical Engineering program.
Engineering Graduate Certificate Programs
For working professionals not seeking a complete Master's degree, Rensselaer's
Graduate Certificate Programs are tailored to enhance or update skills in a shorter
period of time. They have a selective focus and require that a student successfully
complete three or four graduate courses in a specific area of Engineering. With an
advisor's approval, credits earned may be subsequently applied as electives
toward a Master's degree.
Graduate Certificate Program in Control
Systems
Control systems are widely used in engineering to monitor the values of process variables by measurement so as to make rational decisions about required corrective actions. Analysis and design of control systems requires consideration of sensors, controllers, transmitters as well as auxiliary control and hardware elements.
Rensselaer at Hartford offers a Graduate Certificate in Control Systems designed to provide an understanding of control systems engineering, including the fundamental principles of control systems and their application to real-life engineering problems.
Admission Requirements
- Students who have received a B.S. degree in Electrical Engineering, Computer Engineering, or Computer Science
- Students with a B.S. degree in another engineering discipline, mathematics, or physics, subject to the condition that the following essential prerequisites have been completed:
ECSE-2010 Electrical Circuits
ECSE-2410 Signals and Systems (or ECSE-4960 Fundamentals of Signals and Systems)
The Certificate of Advanced Graduate Studies in Control Systems is awarded upon successful completion of the following courses:
Core Courses (6 credits):
ECSE-4440 Control Systems Engineering
ECSE-6400 Systems Analysis Techniques
Elective Courses (Any two, 6 credits)
ECSE-4490 Fundamentals of Robotics
ECSE-6420 Nonlinear Control Systems
ECSE-6440 Optimal Control Theory
ECSE-6460 Multivariable Control Systems
ECSE-6960 Topics in Electrical Engineering: Mechatronics
ECSE-6960 Special Topics in Electrical Engineering: Embedded Digital Control Systems
ECSE-6410 Robotics and Automations Systems
Academic credit earned from these courses can then be applied towards a Master's degree.
Please contact Professor Farooque Mesiya at mesiyf@rpi.edu if you have any questions about the Control Systems Certificate
Program.
Graduate Certificate Program in High Temperature Materials
Materials used in the "hot zones"
of propulsion and power generation systems must satisfy stringent demands
for integrity and performance. Materials exposed to these extreme
environments exhibit continuously evolving microstructures and this must
be accounted for during the component design stage of production.
Rensselaer offers a Certificate of
Advanced Graduate Studies in High Temperature Materials
designed to provide an understanding of the properties of high temperature
alloys as well as skills in improving those properties by manipulating the
material microstructure through processing.
The Certificate of Advanced Graduate
Studies in High Temperature Materials
is awarded upon successful completion of the following
courses.
MTLE-4260 High Temperature Alloys (Superalloys)
MTLE-7061 Casting and Joining Processes for Superalloys
MTLE-6960 High Temperature Coatings Engineering
Academic credit earned from these courses can then be applied towards
a Master's degree. Please contact Professor Ernesto Gutierrez-Miravete at gutiee@rpi.edu if you have
any questions about the Certificate of Advanced Graduate Studies in High Temperature
Materials.
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