ME 502 Plasmonics |
3 Credits |
This course will cover the fundamentals of plasmonics and
surface plasmons. This class will provide
the basic knowledge for understanding and
manipulating surface plasmons and localized plasmons. In
addition, emerging applications involving
various plasmonics systems will be discussed.
Surface plasmons on a single interface, thin film plasmons,
localized plasmons on nanoparticles, and plasmonic
nano-antennas will be discussed. This course
is intended to teach students the principals of
plasmonics encountered in different applications.
Therefore, this course can be of interest
for students in many departments. In addition to
homework and exams, an individual project will be assigned
to students to apply their new knowledge of
plasmonic systems.
|
Last Offered Terms |
Course Name |
SU Credit |
Fall 2021-2022 |
Plasmonics |
3 |
Fall 2020-2021 |
Plasmonics |
3 |
Fall 2019-2020 |
Plasmonics |
3 |
Fall 2016-2017 |
Plasmonics |
3 |
Fall 2014-2015 |
Plasmonics |
3 |
Fall 2013-2014 |
Plasmonics |
3 |
Spring 2012-2013 |
Plasmonics |
3 |
|
Prerequisite: __ |
Corequisite: __ |
ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
General Requirements: |
|
|
ME 503 Introduction to Robotics |
3 Credits |
This course is intended to present fundamentals of
robotic systems. Specific subjects include: position
and orientation in 3D space; manipulator forward and
inverse kinematics; velocities and forces - Jacobian's
relations; manipulator dynamics; stiffness and
compliance control; trajectory control; mobile robots
- selected topics.
|
Last Offered Terms |
Course Name |
SU Credit |
Spring 2023-2024 |
Introduction to Robotics |
3 |
|
Prerequisite: __ |
Corequisite: ME 503L |
ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
General Requirements: |
|
|
ME 503L Introduction to Robotics Lab. |
0 Credit |
|
Last Offered Terms |
Course Name |
SU Credit |
Spring 2023-2024 |
Introduction to Robotics Lab. |
0 |
|
Prerequisite: __ |
Corequisite: ME 503 |
ECTS Credit: NONE ECTS (NONE ECTS for students admitted before 2013-14 Academic Year) |
General Requirements: |
|
|
ME 505 Mechanical Vibrations |
3 Credits |
•Basic concepts of vibrations
•Analysis of single degree of freedom (SDOF) systems by
using complex vector representation
•Coulomb and structural damping
•Frequency Response Functions (FRF) and system
identification
•Response of SDOF to periodic excitation
•Response of SDOF to non-periodic excitation
•Free vibration of multi degree of freedom (MDOF) systems
•Harmonic response of multi degree of freedom (MDOF) systems
|
Last Offered Terms |
Course Name |
SU Credit |
Fall 2023-2024 |
Mechanical Vibrations |
3 |
Fall 2022-2023 |
Mechanical Vibrations |
3 |
Fall 2021-2022 |
Mechanical Vibrations |
3 |
Spring 2020-2021 |
Mechanical Vibrations |
3 |
|
Prerequisite: __ |
Corequisite: __ |
ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
General Requirements: |
|
|
ME 507 Compliant Motion Systems |
3 Credits |
This course focuses on modeling and control of
motion systems with mechanical flexibility, e.g.
manipulators with flexible joints/links, compliant
(soft) actuators, or systems with compliant
transmission mechanisms. It covers dynamics of
mechanical compliance, prominent control
methodologies for compliant motion systems, and
cases in which mechanical compliance is utilized for
efficiency, safety, and robustness. A mathematical
foundation on nonlinear system analysis and
Lyapunov Theory is included.
|
Last Offered Terms |
Course Name |
SU Credit |
Spring 2022-2023 |
Compliant Motion Systems |
3 |
Spring 2021-2022 |
Compliant Motion Systems |
3 |
Spring 2020-2021 |
Compliant Motion Systems |
3 |
|
Prerequisite: __ |
Corequisite: __ |
ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
General Requirements: |
|
|
ME 508 Topology Optimization Based Design |
3 Credits |
This course focuses on theoretical and practical aspects of
numerical methods utilized in the solution of structural
optimization with emphasis on topology optimization
problems. This course presents fundamental aspects of
finite element analysis and mathematical
programming methods with applications on discrete and
continuum topology optimization problems. Applications
include designing lightweight structures, compliant
mechanisms, heat transfer, and energy harvesting
systems. The course content will be applicable to
design of a broad range of engineering systems
as well as material design.
|
Last Offered Terms |
Course Name |
SU Credit |
Spring 2023-2024 |
Topology Optimization Based Design |
3 |
Fall 2022-2023 |
Topology Optimization Based Design |
3 |
Fall 2021-2022 |
Topology Optimization Based Design |
3 |
Fall 2020-2021 |
Topology Optimization Based Design |
3 |
Fall 2019-2020 |
Topology Optimization Based Design |
3 |
Fall 2018-2019 |
Topology Optimization Based Design |
3 |
|
Prerequisite: __ |
Corequisite: __ |
ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
General Requirements: |
|
|
ME 512 Introduction to the Finite Element Method |
3 Credits |
The course emphasizes the fundamental concepts
in finite element analysis, and practical
implementation of a working program. The course is
divided into two halves. The first half is
concentrated on the basic theoretical of the
finite element method. The second half will be focused
on issues concerning the implementation. Advanced topics
will be discussed if time permits. The methods
studied in this course are practical procedures that are
employed extensively in the mechanical, civil, ocean,
aeronautical and electrical industries. Increasingly,
the methods are used in computer-aided design.
|
Last Offered Terms |
Course Name |
SU Credit |
Spring 2023-2024 |
Introduction to the Finite Element Method |
3 |
Spring 2022-2023 |
Introduction to the Finite Element Method |
3 |
Spring 2020-2021 |
Introduction to the Finite Element Method |
3 |
Spring 2018-2019 |
Introduction to the Finite Element Method |
3 |
Spring 2017-2018 |
Introduction to the Finite Element Method |
3 |
Spring 2016-2017 |
Introduction to the Finite Element Method (ENS512) |
3 |
Fall 2014-2015 |
Introduction to the Finite Element Method (ENS512) |
3 |
Fall 2011-2012 |
Introduction to the Finite Element Method (ENS512) |
3 |
Fall 2010-2011 |
Introduction to the Finite Element Method (ENS512) |
3 |
Fall 2009-2010 |
Introduction to the Finite Element Method (ENS512) |
3 |
Fall 2008-2009 |
Introduction to the Finite Element Method (ENS512) |
3 |
Fall 2007-2008 |
Introduction to the Finite Element Method (ENS512) |
3 |
Fall 2006-2007 |
Introduction to the Finite Element Method (ENS512) |
3 |
|
Prerequisite: __ |
Corequisite: __ |
ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
General Requirements: |
|
|
ME 515 Computational Analysis and Simulation |
3 Credits |
Focus of the course is on the state-of-the-art
computational modeling techniques used in
disciplines such as structural mechanics, fluid
mechanics, heat transfer and electromagnetics.
Emphasis is on the numerical solution methods of
partial differential equations and their
use in computational analysis and simulations for
engineering design. There will be a number of case
studies and examples to enhance the
lectures with examples. Topics covered are: basic
numerical methods for root-finding, solution
of linear system of equations and ordinary-differential
equations, finite-difference solution of parabolic,
elliptic and hyperbolic partial-differential
equations and finite-element solution of elliptic
PDEs such as Poisson equation in 1D.
|
Last Offered Terms |
Course Name |
SU Credit |
Spring 2023-2024 |
Computational Analysis and Simulation |
3 |
Spring 2022-2023 |
Computational Analysis and Simulation |
3 |
Spring 2021-2022 |
Computational Analysis and Simulation |
3 |
Spring 2020-2021 |
Computational Analysis and Simulation |
3 |
Spring 2019-2020 |
Computational Analysis and Simulation |
3 |
Spring 2018-2019 |
Computational Analysis and Simulation |
3 |
Spring 2015-2016 |
Computational Analysis and Simulation |
3 |
Spring 2014-2015 |
Computational Analysis and Simulation |
3 |
Spring 2013-2014 |
Computational Analysis and Simulation |
3 |
Spring 2012-2013 |
Computational Analysis and Simulation |
3 |
Spring 2011-2012 |
Computational Analysis and Simulation |
3 |
Fall 2010-2011 |
Computational Analysis and Simulation |
3 |
|
Prerequisite: __ |
Corequisite: __ |
ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
General Requirements: |
|
|
ME 520 Renewable and Sustainable Energy Systems |
3 Credits |
Topics covered are fundamentals of the renewable
and sustainable energy systems technology,
thermo-economic analysis and the current research
trends in improving the energy production from
terrestrial water and air flows, solar
irradiation, nuclear fission and controlled plasma
for fusion, energy conversion alternatives
such as hydrogen fuel cells, small and large
scale energy storage such as electric batteries,
thermal and compressed-gas, and the current
research on the electric transmission grids and an
introductory economic analysis of the domestic
electric use in the future.
|
Last Offered Terms |
Course Name |
SU Credit |
Spring 2023-2024 |
Renewable and Sustainable Energy Systems |
3 |
Spring 2022-2023 |
Renewable and Sustainable Energy Systems |
3 |
Spring 2021-2022 |
Renewable and Sustainable Energy Systems |
3 |
Spring 2020-2021 |
Renewable and Sustainable Energy Systems |
3 |
Spring 2019-2020 |
Renewable and Sustainable Energy Systems |
3 |
Spring 2018-2019 |
Renewable and Sustainable Energy Systems |
3 |
Spring 2017-2018 |
Renewable and Sustainable Energy Systems |
3 |
Spring 2015-2016 |
Renewable and Sustainable Energy Systems |
3 |
Spring 2013-2014 |
Renewable and Sustainable Energy Systems |
3 |
Spring 2012-2013 |
Renewable and Sustainable Energy Systems |
3 |
Fall 2011-2012 |
Renewable and Sustainable Energy Systems |
3 |
Spring 2010-2011 |
Renewable and Sustainable Energy Systems |
3 |
|
Prerequisite: __ |
Corequisite: __ |
ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
General Requirements: |
|
|
ME 525 Autonomous Mobile Robotics |
3 Credits |
The course covers fundamental problems of autonomous
mobile robotics including locomotion, reception,
localization, planning and navigation. In the context
of locomotion, legged, wheeled, flying and swimming
mobile robots will be discussed. In the reception part,
various sensors that are used on mobile robots will
be introduced and several sensor fusion algorithms
will be presented. Localization problems will
be tackled in a probabilistic framework using Markov and
Kalman Filtering techniques. Simultaneous Localization
and Mapping (SLAM) problem and its variations will
also be introduced and discussed.
Finally planning and navigation strategies will be covered.
|
Last Offered Terms |
Course Name |
SU Credit |
Fall 2023-2024 |
Autonomous Mobile Robotics |
3 |
Fall 2022-2023 |
Autonomous Mobile Robotics |
3 |
Fall 2021-2022 |
Autonomous Mobile Robotics |
3 |
Fall 2020-2021 |
Autonomous Mobile Robotics |
3 |
Fall 2019-2020 |
Autonomous Mobile Robotics |
3 |
Spring 2018-2019 |
Autonomous Mobile Robotics |
3 |
Spring 2017-2018 |
Autonomous Mobile Robotics |
3 |
Spring 2015-2016 |
Autonomous Mobile Robotics |
3 |
Spring 2014-2015 |
Autonomous Mobile Robotics |
3 |
Spring 2013-2014 |
Autonomous Mobile Robotics |
3 |
Spring 2012-2013 |
Autonomous Mobile Robotics |
3 |
|
Prerequisite: __ |
Corequisite: ME 525L |
ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
General Requirements: |
|
|
ME 525L Autonomous Mobile Robotics Lab. |
0 Credit |
|
Last Offered Terms |
Course Name |
SU Credit |
Fall 2023-2024 |
Autonomous Mobile Robotics Lab. |
0 |
Fall 2022-2023 |
Autonomous Mobile Robotics Lab. |
0 |
Fall 2021-2022 |
Autonomous Mobile Robotics Lab. |
0 |
Fall 2020-2021 |
Autonomous Mobile Robotics Lab. |
0 |
Spring 2014-2015 |
Autonomous Mobile Robotics Lab. |
0 |
Spring 2013-2014 |
Autonomous Mobile Robotics Lab. |
0 |
|
Prerequisite: __ |
Corequisite: ME 525 |
ECTS Credit: NONE ECTS (NONE ECTS for students admitted before 2013-14 Academic Year) |
General Requirements: |
|
|
ME 530 Microfluidics and Nanofluidics |
3 Credits |
Overview on microfluidics/nanofluidics, Basic Fluid
Mechanics and Heat Transfer, Analysis and
modeling of microfluidic and nanofluidic systems with
slip flows, Phase change phenomena in microdomains
and applications, Nanofluids and applications,
Electrokinetic flows and applications,
Acoustofluidics and Optofluidics with applications.
|
Last Offered Terms |
Course Name |
SU Credit |
Spring 2023-2024 |
Microfluidics and Nanofluidics |
3 |
Spring 2022-2023 |
Microfluidics and Nanofluidics |
3 |
Spring 2021-2022 |
Microfluidics and Nanofluidics |
3 |
Spring 2020-2021 |
Microfluidics and Nanofluidics |
3 |
Spring 2019-2020 |
Microfluidics and Nanofluidics |
3 |
Spring 2018-2019 |
Microfluidics and Nanofluidics |
3 |
Spring 2016-2017 |
Microfluidics and Nanofluidics |
3 |
Spring 2014-2015 |
Microfluidics and Nanofluidics |
3 |
Spring 2013-2014 |
Microfluidics and Nanofluidics |
3 |
|
Prerequisite: __ |
Corequisite: __ |
ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
General Requirements: |
|
|
ME 535 Scaling in Engineering Systems |
3 Credits |
The course introduces the scaling laws for engineering
systems including multi-scale systems and
consists of different scales (nano-, micro-, or
macro-scales). When system modeling, design and
fabrication processes are being performed, scaling and
interaction of different scales become prominent.
This course covers the fundamental properties
of scales, design theories, modeling methods and
manufacturing issues with different applications.
Examples of engineering systems include micro
-/macro-robotics, micro-/macro-actuators,
MEMS, microfluidics, micromanipulators (AFM, microinjection
technologies), robotic surgery (da Vinci robots),
biosensors, MRI machines, and solar energy panels.
Students will master the materials through problem sets,
scientific discussions with experts from industry
or medicine, and will improve their project
presentation skills.
|
Last Offered Terms |
Course Name |
SU Credit |
Fall 2022-2023 |
Scaling in Engineering Systems |
3 |
Fall 2018-2019 |
Scaling in Engineering Systems |
3 |
Fall 2017-2018 |
Scaling in Engineering Systems |
3 |
Fall 2016-2017 |
Scaling in Engineering Systems |
3 |
Spring 2015-2016 |
Scaling in Engineering Systems |
3 |
|
Prerequisite: __ |
Corequisite: __ |
ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
General Requirements: |
|
|
ME 537 Biomechatronics |
3 Credits |
•Introduction to biomechatronics (Motivation and
highlights of biomechatronic technologies),
•Human as a physiological system,
•Biological actuators,
•Biological sensors,
•Biological feedback mechanisms,
•Brain and brain machine interfaces,
•Active and passive prosthetic limbs,
•Orthotics, Exoskeletons, Exomusculatures,
•Biocompatibility and biocompatible materials in
biomechatronics,
•Implants,
•Medical robotics,
•Diagnostic devices.
|
Last Offered Terms |
Course Name |
SU Credit |
Spring 2022-2023 |
Biomechatronics |
3 |
Spring 2021-2022 |
Biomechatronics |
3 |
Spring 2019-2020 |
Biomechatronics |
3 |
Fall 2018-2019 |
Biomechatronics |
3 |
Fall 2017-2018 |
Biomechatronics |
3 |
|
Prerequisite: __ |
Corequisite: __ |
ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
General Requirements: |
|
|
ME 540 Vibration of Continuous Systems |
3 Credits |
This course is designed for graduate
students. It is aimed to teach the
fundamental concepts how continuous
systems vibrate. Fundamental aspects of
vibrations for mathematical modeling,
derivation/solution of boundary value
problem, and subsequent system analysis
will be covered both using analytical and
approximate methods: 1) Advanced
principles of dynamics (Elasticity and strain
energy, generalized coordinates, Hamilton’s
principle) 2) General Formulation of Natural
Modes of Vibration in Continuous System
(Boundary value problem, eigenvalue
problem, orthogonality) 3) Natural Modes
of Vibration in Continuous Systems
(vibration of strings, longitudinal vibration
of beams, bending vibrations of beams,
vibration of membranes, expansion and
enclosure theorems, Rayleigh’s quotient) 4)
Natural Modes of Vibration in Continuous
Systems using Approximate Methods
(Rayleigh’s energy method, Rayleigh-Ritz
method, Assumed modes method,
Galerkin’s method) 5) Response of
Undamped Continuous Systems (modal
analysis, assumed modes method, Galerkin’s method)
|
Last Offered Terms |
Course Name |
SU Credit |
Spring 2023-2024 |
Vibration of Continuous Systems |
3 |
Spring 2022-2023 |
Special Topics in ME: Vibration of Continuous Systems (ME58002) |
3 |
Spring 2021-2022 |
Special Topics in ME: Vibration of Continuous Systems (ME58002) |
3 |
Spring 2017-2018 |
Special Topics in ME: Vibration of Continuous Systems (ME58002) |
3 |
|
Prerequisite: __ |
Corequisite: __ |
ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
General Requirements: |
|
|
ME 541 Advanced Vehicle Systems |
3 Credits |
1. Introduction a. History
b. Introduction to different systems
c. Comparison to conventional vehicles, advantages
d. Current situation (technology, market, emission benefits)
2. Vehicle Dynamics and Performance Fundamentals, Modelling
a. Longitudinal Dynamics
b. Propulsion and Breaking
c. Handling d. Ride Comfort 3. Powertrains a. Components
b. Configurations i. Electric Vehicle
ii. Hybrid Electric Vehicles (series, parallel,
split configurations) c. Regenerative Braking
4. Batteries a. Basics/Fundamentals
b. Types, differences, advantages/disadvantages
c. Battery modeling d. Battery Management Systems
5. Internal Combustion Engines a. ICE fundamentals
b. Types c. Fuel Economy d. Emission control
6. Alternative Energy Sources a. Fuel Cells
i. Fundamentals ii. Types iii. Hydrogen Storage
b. Supercapacitors and Ultracapacitors
7. Electric Motor a. DC Motors b. Induction Motors
c. Switch Reluctance Motors d. Control Basics
|
Last Offered Terms |
Course Name |
SU Credit |
Spring 2023-2024 |
Advanced Vehicle Systems |
3 |
Spring 2022-2023 |
Advanced Vehicle Systems |
3 |
Spring 2021-2022 |
Advanced Vehicle Systems |
3 |
Spring 2020-2021 |
Advanced Vehicle Systems |
3 |
Spring 2018-2019 |
Advanced Vehicle Systems |
3 |
|
Prerequisite: __ |
Corequisite: __ |
ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
General Requirements: |
|
|
ME 551 Graduate Seminar I |
0 Credit |
|
Last Offered Terms |
Course Name |
SU Credit |
Spring 2023-2024 |
Graduate Seminar I |
0 |
Fall 2023-2024 |
Graduate Seminar I |
0 |
Spring 2022-2023 |
Graduate Seminar I |
0 |
Fall 2022-2023 |
Graduate Seminar I |
0 |
Spring 2021-2022 |
Graduate Seminar I |
0 |
Fall 2021-2022 |
Graduate Seminar I |
0 |
Spring 2020-2021 |
Graduate Seminar I |
0 |
Fall 2020-2021 |
Graduate Seminar I |
0 |
Spring 2019-2020 |
Graduate Seminar I |
0 |
Fall 2019-2020 |
Graduate Seminar I |
0 |
Spring 2018-2019 |
Graduate Seminar I |
0 |
Fall 2018-2019 |
Graduate Seminar I |
0 |
Spring 2017-2018 |
Graduate Seminar I |
0 |
Fall 2017-2018 |
Graduate Seminar I |
0 |
Spring 2016-2017 |
Graduate Seminar I |
0 |
Fall 2016-2017 |
Graduate Seminar I |
0 |
Fall 2015-2016 |
Graduate Seminar I |
0 |
Fall 2014-2015 |
Graduate Seminar I |
0 |
Fall 2013-2014 |
Graduate Seminar I |
0 |
Fall 2012-2013 |
Graduate Seminar I |
0 |
Fall 2011-2012 |
Graduate Seminar I |
0 |
Summer 2010-2011 |
Graduate Seminar I |
0 |
Fall 2010-2011 |
Graduate Seminar I |
0 |
Fall 2009-2010 |
Graduate Seminar I |
0 |
Summer 2008-2009 |
Graduate Seminar I |
0 |
Fall 2008-2009 |
Graduate Seminar I |
0 |
Fall 2007-2008 |
Graduate Seminar I |
0 |
|
Prerequisite: __ |
Corequisite: __ |
ECTS Credit: 1 ECTS (1 ECTS for students admitted before 2013-14 Academic Year) |
General Requirements: |
|
|
ME 552 Graduate Seminar II |
0 Credit |
|
Last Offered Terms |
Course Name |
SU Credit |
Spring 2023-2024 |
Graduate Seminar II |
0 |
Fall 2023-2024 |
Graduate Seminar II |
0 |
Spring 2022-2023 |
Graduate Seminar II |
0 |
Fall 2022-2023 |
Graduate Seminar II |
0 |
Spring 2021-2022 |
Graduate Seminar II |
0 |
Fall 2021-2022 |
Graduate Seminar II |
0 |
Spring 2020-2021 |
Graduate Seminar II |
0 |
Fall 2020-2021 |
Graduate Seminar II |
0 |
Spring 2019-2020 |
Graduate Seminar II |
0 |
Fall 2019-2020 |
Graduate Seminar II |
0 |
Spring 2018-2019 |
Graduate Seminar II |
0 |
Fall 2018-2019 |
Graduate Seminar II |
0 |
Spring 2017-2018 |
Graduate Seminar II |
0 |
Fall 2017-2018 |
Graduate Seminar II |
0 |
Spring 2016-2017 |
Graduate Seminar II |
0 |
Spring 2015-2016 |
Graduate Seminar II |
0 |
Spring 2014-2015 |
Graduate Seminar II |
0 |
Spring 2013-2014 |
Graduate Seminar II |
0 |
Spring 2012-2013 |
Graduate Seminar II |
0 |
Spring 2011-2012 |
Graduate Seminar II |
0 |
Spring 2010-2011 |
Graduate Seminar II |
0 |
Fall 2010-2011 |
Graduate Seminar II |
0 |
Spring 2009-2010 |
Graduate Seminar II |
0 |
Spring 2008-2009 |
Graduate Seminar II |
0 |
Spring 2007-2008 |
Graduate Seminar II |
0 |
|
Prerequisite: __ |
Corequisite: __ |
ECTS Credit: 1 ECTS (1 ECTS for students admitted before 2013-14 Academic Year) |
General Requirements: |
|
|
ME 561 Advanced Fluid Mechanics |
3 Credits |
This course covers essential advanced topics in fluid
mechanics as an introductory graduate level course
surveying fundamental concepts, and methods used in
fluid mechanics. Emphasis will be on patterns of
incompressible viscous flows, potential flow, boundary
layers, and some solutions of the NS equation. The
course will conclude with introduction to hydrodynamic
stability, transitory flows and turbulence.
|
Last Offered Terms |
Course Name |
SU Credit |
Fall 2021-2022 |
Advanced Fluid Mechanics |
3 |
Fall 2020-2021 |
Advanced Fluid Mechanics |
3 |
Fall 2017-2018 |
Advanced Fluid Mechanics |
3 |
Spring 2009-2010 |
Advanced Fluid Mechanics |
3 |
Fall 2006-2007 |
Advanced Fluid Mechanics |
3 |
|
Prerequisite: __ |
Corequisite: __ |
ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
General Requirements: |
|
|
ME 562 Fundamentals of Transport Processes |
3 Credits |
This course aims to develop a detailed understanding
of the mass and energy transport phenomena in
chemical, biological and engineering processes at
at introductory graduate level. Emphasis will be on
energy and mass transport in solids and flows,
multicomponent transport, the Maxwell-Stefan equations,
state-of-the art advanced computational methods and
tools used in the analysis of the transport processes.
|
Last Offered Terms |
Course Name |
SU Credit |
Spring 2019-2020 |
Fundamentals of Transport Processes |
3 |
Spring 2018-2019 |
Fundamentals of Transport Processes |
3 |
Spring 2017-2018 |
Fundamentals of Transport Processes |
3 |
Spring 2016-2017 |
Fundamentals of Transport Processes |
3 |
Spring 2015-2016 |
Fundamentals of Transport Processes |
3 |
Spring 2014-2015 |
Fundamentals of Transport Processes |
3 |
Spring 2013-2014 |
Fundamentals of Transport Processes |
3 |
Spring 2012-2013 |
Fundamentals of Transport Processes |
3 |
Spring 2011-2012 |
Fundamentals of Transport Processes |
3 |
Spring 2010-2011 |
Fundamentals of Transport Processes |
3 |
Spring 2009-2010 |
Fundamentals of Transport Processes |
3 |
Spring 2008-2009 |
Fundamentals of Transport Processes |
3 |
Spring 2007-2008 |
Fundamentals of Transport Processes |
3 |
|
Prerequisite: __ |
Corequisite: __ |
ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
General Requirements: |
|
|
ME 58002 Special Topics in ME: Vibration of Continuous Systems |
3 Credits |
|
Last Offered Terms |
Course Name |
SU Credit |
Spring 2022-2023 |
Special Topics in ME: Vibration of Continuous Systems |
3 |
Spring 2021-2022 |
Special Topics in ME: Vibration of Continuous Systems |
3 |
Spring 2017-2018 |
Special Topics in ME: Vibration of Continuous Systems |
3 |
Spring 2023-2024 |
(ME540) |
3 |
|
Prerequisite: __ |
Corequisite: __ |
ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
General Requirements: |
|
|
ME 58004 Special Topics in ME: Bilateral Teleoperation |
3 Credits |
This course is designed to equip students with
fundamental theories and computational
methodologies that are used in (computer
aided) analysis and synthesis of bilaterally
teleoperated systems. By the end of the
course a solid understanding of the principles
of bilateral control in the context of modern
classical control and hands-on experience
with implementation of bilateral controllers
on force-feedback devices are aimed.
Covered topics include haptic rendering of
virtual environments, passivity of the human-
in-the-loop systems, transparency and
coupled stability scaled teleoperation
architectures, trade-off between robust
stability and transparency, destabilizing
effects of communication/computation delays
and approaches to compensate for these time
delays, namely, time domain passivity and
wave variable approaches. The course is
appropriate for students in any engineering
discipline with interests in robotics, nonlinear
controls, and haptics
|
Last Offered Terms |
Course Name |
SU Credit |
Spring 2018-2019 |
Special Topics in ME: Bilateral Teleoperation |
3 |
|
Prerequisite: __ |
Corequisite: __ |
ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
General Requirements: |
|
|
ME 590 Master Thesis |
0 Credit |
|
Last Offered Terms |
Course Name |
SU Credit |
Spring 2023-2024 |
Master Thesis |
0 |
Fall 2023-2024 |
Master Thesis |
0 |
Spring 2022-2023 |
Master Thesis |
0 |
Fall 2022-2023 |
Master Thesis |
0 |
Spring 2021-2022 |
Master Thesis |
0 |
Fall 2021-2022 |
Master Thesis |
0 |
Spring 2020-2021 |
Master Thesis |
0 |
Fall 2020-2021 |
Master Thesis |
0 |
Spring 2019-2020 |
Master Thesis |
0 |
Fall 2019-2020 |
Master Thesis |
0 |
Spring 2018-2019 |
Master Thesis |
0 |
Fall 2018-2019 |
Master Thesis |
0 |
Spring 2017-2018 |
Master Thesis |
0 |
Fall 2017-2018 |
Master Thesis |
0 |
Spring 2016-2017 |
Master Thesis |
0 |
Fall 2016-2017 |
Master Thesis |
0 |
Spring 2015-2016 |
Master Thesis |
0 |
Fall 2015-2016 |
Master Thesis |
0 |
Spring 2014-2015 |
Master Thesis |
0 |
Fall 2014-2015 |
Master Thesis |
0 |
Spring 2013-2014 |
Master Thesis |
0 |
Fall 2013-2014 |
Master Thesis |
0 |
Spring 2012-2013 |
Master Thesis |
0 |
Fall 2012-2013 |
Master Thesis |
0 |
Spring 2011-2012 |
Master Thesis |
0 |
Fall 2011-2012 |
Master Thesis |
0 |
Spring 2010-2011 |
Master Thesis |
0 |
Fall 2010-2011 |
Master Thesis |
0 |
Spring 2009-2010 |
Master Thesis |
0 |
Fall 2009-2010 |
Master Thesis |
0 |
Spring 2008-2009 |
Master Thesis |
0 |
Fall 2008-2009 |
Master Thesis |
0 |
Spring 2007-2008 |
Master Thesis |
0 |
Fall 2007-2008 |
Master Thesis |
0 |
|
Prerequisite: __ |
Corequisite: __ |
ECTS Credit: 50 ECTS (50 ECTS for students admitted before 2013-14 Academic Year) |
General Requirements: |
|
|
ME 592 Project |
0 Credit |
All graduate students pursuing a non-thesis M.Sc.
Program are required to complete a project. The
project topic and contents are based on the interest
and background of the student and are approved by
the faculty member servingas the project supervisor. At
the completion of the project, the student is required to
submit a final report. The final report is to be approved
by the project supervisor
|
Last Offered Terms |
Course Name |
SU Credit |
Spring 2011-2012 |
Project |
0 |
Fall 2010-2011 |
Project |
0 |
Fall 2009-2010 |
Project |
0 |
Fall 2008-2009 |
Project |
0 |
Fall 2007-2008 |
Project |
0 |
|
Prerequisite: __ |
Corequisite: __ |
ECTS Credit: 20 ECTS (20 ECTS for students admitted before 2013-14 Academic Year) |
General Requirements: |
|
|
ME 601 Optimal Control |
3 Credits |
After a short review of static optimization and
numerical methods to address static
optimization problems, students will be introduced
to the principle of optimality and the
Hamilton-Jacobi-Bellman equations in the
context of dynamic programming. Calculus of
variations will be studied in detail, emphasizing
necessary and sufficient conditions for an extrema.
Constrained problems, Pontryagin's maximum
principle will be discussed; formulation
of optimal control problems and performance
measures will be covered. Special attention
will be paid to linear quadratic regulator/tracking,
minimum-time, and minimum control-effort
problems. Finally, optimal controllers will be
synthesized using direct and indirect
numerical techniques.
|
Last Offered Terms |
Course Name |
SU Credit |
Fall 2011-2012 |
Optimal Control |
3 |
|
Prerequisite: __ |
Corequisite: __ |
ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
General Requirements: |
|
|
ME 790 Ph.D.Dissertation |
0 Credit |
|
Last Offered Terms |
Course Name |
SU Credit |
Spring 2023-2024 |
Ph.D.Dissertation |
0 |
Fall 2023-2024 |
Ph.D.Dissertation |
0 |
Spring 2022-2023 |
Ph.D.Dissertation |
0 |
Fall 2022-2023 |
Ph.D.Dissertation |
0 |
Spring 2021-2022 |
Ph.D.Dissertation |
0 |
Fall 2021-2022 |
Ph.D.Dissertation |
0 |
Spring 2020-2021 |
Ph.D.Dissertation |
0 |
Fall 2020-2021 |
Ph.D.Dissertation |
0 |
Spring 2019-2020 |
Ph.D.Dissertation |
0 |
Fall 2019-2020 |
Ph.D.Dissertation |
0 |
Spring 2018-2019 |
Ph.D.Dissertation |
0 |
Fall 2018-2019 |
Ph.D.Dissertation |
0 |
Spring 2017-2018 |
Ph.D.Dissertation |
0 |
Fall 2017-2018 |
Ph.D.Dissertation |
0 |
Spring 2016-2017 |
Ph.D.Dissertation |
0 |
Fall 2016-2017 |
Ph.D.Dissertation |
0 |
Spring 2015-2016 |
Ph.D.Dissertation |
0 |
Fall 2015-2016 |
Ph.D.Dissertation |
0 |
Spring 2014-2015 |
Ph.D.Dissertation |
0 |
Fall 2014-2015 |
Ph.D.Dissertation |
0 |
Spring 2013-2014 |
Ph.D.Dissertation |
0 |
Fall 2013-2014 |
Ph.D.Dissertation |
0 |
Spring 2012-2013 |
Ph.D.Dissertation |
0 |
Fall 2012-2013 |
Ph.D.Dissertation |
0 |
Spring 2011-2012 |
Ph.D.Dissertation |
0 |
Fall 2011-2012 |
Ph.D.Dissertation |
0 |
Spring 2010-2011 |
Ph.D.Dissertation |
0 |
Fall 2010-2011 |
Ph.D.Dissertation |
0 |
Spring 2009-2010 |
Ph.D.Dissertation |
0 |
Fall 2009-2010 |
Ph.D.Dissertation |
0 |
Spring 2008-2009 |
Ph.D.Dissertation |
0 |
Fall 2008-2009 |
Ph.D.Dissertation |
0 |
Spring 2007-2008 |
Ph.D.Dissertation |
0 |
|
Prerequisite: __ |
Corequisite: __ |
ECTS Credit: 180 ECTS (180 ECTS for students admitted before 2013-14 Academic Year) |
General Requirements: |
|
|