| EE 518 Multidisiplinary Design Optimization |
3 Credits |
|
This course addresses the design of complex
multidisciplinary systems using optimization. This is not
a traditional optimization course. Rather, focus is on how
optimization can be used in the design of
multidisciplinary systems. Each of the three concepts will
be emphasized: multidisciplinary systems,
design and optimization.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Spring 2021-2022 |
Multidisiplinary Design Optimization |
3 |
| Spring 2019-2020 |
Multidisiplinary Design Optimization |
3 |
| Fall 2012-2013 |
Multidisiplinary Design Optimization |
3 |
| Spring 2010-2011 |
Multidisiplinary Design Optimization |
3 |
| Spring 2008-2009 |
Multidisiplinary Design Optimization |
3 |
| Spring 2007-2008 |
Multidisiplinary Design Optimization |
3 |
| Spring 2006-2007 |
Multidisiplinary Design Optimization |
3 |
| Spring 2005-2006 |
Multidisiplinary Design Optimization |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| EE 521 Kinematics and Dynamics of Machines |
3 Credits |
|
Introduction to mechanisms, kinematics of mechanisms,
displacement analysis, kinematics velocity analysis,
acceleration analysis, forces in mechanisms, work, energy
and power, momentum and impact, geometry of mechanisms,
synthesis of mechanisms, transmission mechanisms, vibration,
multi-body dynamics.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Fall 2021-2022 |
Kinematics and Dynamics of Machines |
3 |
| Spring 2019-2020 |
Kinematics and Dynamics of Machines |
3 |
| Fall 2017-2018 |
Kinematics and Dynamics of Machines |
3 |
| Fall 2015-2016 |
Kinematics and Dynamics of Machines |
3 |
| Fall 2012-2013 |
Kinematics and Dynamics of Machines |
3 |
| Fall 2011-2012 |
Kinematics and Dynamics of Machines |
3 |
| Fall 2010-2011 |
Kinematics and Dynamics of Machines |
3 |
| Fall 2009-2010 |
Kinematics and Dynamics of Machines |
3 |
| Fall 2008-2009 |
Kinematics and Dynamics of Machines |
3 |
| Fall 2007-2008 |
Kinematics and Dynamics of Machines |
3 |
| Spring 2006-2007 |
Kinematics and Dynamics of Machines |
3 |
| Fall 2002-2003 |
Kinematics and Dynamics of Machines |
3 |
| Fall 2001-2002 |
Kinematics and Dynamics of Machines |
3 |
| Fall 2000-2001 |
Kinematics and Dynamics of Machines |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| EE 524 Digital Control Systems |
3 Credits |
|
Mathematical background, discrete equivalents to
continuous transfer function, direct digital
control and supervisory control, control strategies
process modelling and identification
quantization effect, implementation issue in digital control
|
| Last Offered Terms |
Course Name |
SU Credit |
| Fall 2023-2024 |
Digital Control Systems |
3 |
| Spring 2014-2015 |
Digital Control Systems |
3 |
| Spring 2012-2013 |
Digital Control Systems |
3 |
| Spring 2010-2011 |
Digital Control Systems |
3 |
| Spring 2008-2009 |
Digital Control Systems |
3 |
| Fall 2006-2007 |
Digital Control Systems |
3 |
| Fall 2005-2006 |
Digital Control Systems |
3 |
| Fall 2004-2005 |
Digital Control Systems |
3 |
| Fall 2003-2004 |
Digital Control Systems |
3 |
| Fall 2002-2003 |
Digital Control Systems |
3 |
| Spring 2001-2002 |
Digital Control Systems |
3 |
|
| Prerequisite: __ |
| Corequisite: |
| ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| EE 525 Real-Time Systems Design |
3 Credits |
|
Introduction to real-time systems, real-time software design
, concurrent programming and process interactions,
real-time operating system, processing scheduling
Case study: high performance real-time application
process communication, deadlock management
distributed real-time systems.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Fall 2020-2021 |
Real-Time Systems Design |
3 |
| Spring 2018-2019 |
Real-Time Systems Design |
3 |
| Spring 2017-2018 |
Real-Time Systems Design |
3 |
| Spring 2016-2017 |
Real-Time Systems Design |
3 |
| Spring 2015-2016 |
Real-Time Systems Design |
3 |
| Spring 2013-2014 |
Real-Time Systems Design |
3 |
| Spring 2012-2013 |
Real-Time Systems Design |
3 |
| Spring 2011-2012 |
Real-Time Systems Design |
3 |
| Spring 2010-2011 |
Real-Time Systems Design |
3 |
| Spring 2009-2010 |
Real-Time Systems Design |
3 |
| Spring 2008-2009 |
Real-Time Systems Design |
3 |
| Spring 2007-2008 |
Real-Time Systems Design |
3 |
| Spring 2006-2007 |
Real-Time Systems Design |
3 |
| Spring 2005-2006 |
Real-Time Systems Design |
3 |
| Spring 2004-2005 |
Real-Time Systems Design |
3 |
| Spring 2003-2004 |
Real-Time Systems Design |
3 |
| Spring 2002-2003 |
Real-Time Systems Design |
3 |
| Fall 2001-2002 |
Real-Time Systems Design |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| EE 528 Nonlinear Control Systems |
3 Credits |
|
Selected topics in linear control systems, typical
nonlinear problems and phenomena, stability,
Lyapunov theory, robustness, performance analysis,
nonlinear control design.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Fall 2017-2018 |
Nonlinear Control Systems |
3 |
| Spring 2013-2014 |
Nonlinear Control Systems |
3 |
| Spring 2011-2012 |
Nonlinear Control Systems |
3 |
| Spring 2010-2011 |
Nonlinear Control Systems |
3 |
| Spring 2009-2010 |
Nonlinear Control Systems |
3 |
| Spring 2008-2009 |
Nonlinear Control Systems |
3 |
| Spring 2007-2008 |
Nonlinear Control Systems |
3 |
| Spring 2006-2007 |
Nonlinear Control Systems |
3 |
| Spring 2004-2005 |
Nonlinear Control Systems |
3 |
| Spring 2003-2004 |
Nonlinear Control Systems |
3 |
| Spring 2002-2003 |
Nonlinear Control Systems |
3 |
| Spring 2001-2002 |
Nonlinear Control Systems |
3 |
| Spring 2000-2001 |
Nonlinear Control Systems |
3 |
|
| Prerequisite: __ |
| Corequisite: |
| ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| EE 529 Vision Based Control |
3 Credits |
|
This course is about the application or processing of visual
information in a way that entails the design and analysis of
algorithms incorporating concepts studied in the field of
control, namely feedback, estimation, and dynamics. It
covers Image Formation Basics, Image Features and
Correspondence, Recursive Estimation from Image Sequences,
Image-Based and Position-Based Visual Servoing, Extending
Visual Servoing Techniques to Nonholonomic Mobile Robots,
Vision-Based System Identification and State Estimation.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Spring 2012-2013 |
Vision Based Control |
3 |
| Spring 2009-2010 |
Vision Based Control |
3 |
| Fall 2007-2008 |
Vision Based Control |
3 |
| Spring 2005-2006 |
Vision Based Control |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| EE 533 Semiconductor Process Technology |
3 Credits |
|
Theoretical analysis of the chemistry and physics of process
technologies used in micro-electronics fabrication. Topics
include semiconductor growth, material characterization,
lithography tools, photo-resist models, thin film
deposition, chemical etching, plasma etching, electrical
contact formation, microstructure processing
and process modeling.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Fall 2023-2024 |
Semiconductor Process Technology |
3 |
| Fall 2022-2023 |
Semiconductor Process Technology |
3 |
| Fall 2021-2022 |
Semiconductor Process Technology |
3 |
| Fall 2020-2021 |
Semiconductor Process Technology |
3 |
| Fall 2019-2020 |
Semiconductor Process Technology |
3 |
| Fall 2018-2019 |
Semiconductor Process Technology |
3 |
| Fall 2017-2018 |
Semiconductor Process Technology |
3 |
| Fall 2016-2017 |
Semiconductor Process Technology |
3 |
| Fall 2015-2016 |
Semiconductor Process Technology |
3 |
| Fall 2014-2015 |
Semiconductor Process Technology |
3 |
| Spring 2013-2014 |
Semiconductor Process Technology |
3 |
| Spring 2012-2013 |
Semiconductor Process Technology |
3 |
| Fall 2011-2012 |
Semiconductor Process Technology |
3 |
| Spring 2009-2010 |
Semiconductor Process Technology |
3 |
| Spring 2006-2007 |
Semiconductor Process Technology |
3 |
| Spring 2004-2005 |
Semiconductor Process Technology |
3 |
| Fall 2003-2004 |
Semiconductor Process Technology |
3 |
| Fall 2002-2003 |
Semiconductor Process Technology |
3 |
| Fall 2001-2002 |
Semiconductor Process Technology |
3 |
| Fall 2000-2001 |
Semiconductor Process Technology |
3 |
|
| Prerequisite: __ |
| Corequisite: EE 533L |
| ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| EE 533L Semiconductor Process Technology Lab.. |
0 Credit |
|
|
| Last Offered Terms |
Course Name |
SU Credit |
| Fall 2023-2024 |
Semiconductor Process Technology Lab.. |
0 |
| Fall 2022-2023 |
Semiconductor Process Technology Lab.. |
0 |
| Fall 2021-2022 |
Semiconductor Process Technology Lab.. |
0 |
| Fall 2020-2021 |
Semiconductor Process Technology Lab.. |
0 |
| Fall 2019-2020 |
Semiconductor Process Technology Lab.. |
0 |
| Fall 2018-2019 |
Semiconductor Process Technology Lab.. |
0 |
|
| Prerequisite: __ |
| Corequisite: EE 533 |
| ECTS Credit: NONE ECTS (NONE ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| EE 534 Integrated Sensors |
3 Credits |
|
Fundamental principles and design of integrated solid-state
sensors and sensing systems. Micromachining and wafer
bonding. Microstructures for the measurement of visible and
infrared radiation, pressure, acceleration, temperature,
gas purity, an ion concentrations. Merged process
technologies for sensors and circuits. Data acquisition
circuits, micro-actuators and integrated microsystems.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Fall 2021-2022 |
Integrated Sensors |
3 |
| Fall 2019-2020 |
Integrated Sensors |
3 |
| Fall 2018-2019 |
Integrated Sensors |
3 |
| Fall 2017-2018 |
Integrated Sensors |
3 |
| Fall 2016-2017 |
Integrated Sensors |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| EE 535 Computational Techniques for Circuit Analysis and Design |
3 Credits |
|
Formulation of circuit equations; sparse matrix algorithms
for the solution of large systems, AC, DC, and
transient analysis of electrical circuits; numerical
integration; linear multistep methods; stability;
accuracy, step control, companion models; sensitivity
analysis; decomposition methods.
|
| Last Offered Terms |
Course Name |
SU Credit |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| EE 536 Computer-Aided Design of VLSI Systems |
3 Credits |
|
Theory and implementation of circuit partitioning, and
placement algorithms. Routing algorithms, parallel design
automation on shared memory and distributed memory
multi-processors, simulated annealing and other
optimization techniques and their applications in
CAD, layout transformation and compaction, fault-repair
algorithms for RAMs and PLAs hardware synthesis from
behavioral modeling, artificial intelligence-based CAD.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Spring 2017-2018 |
Computer-Aided Design of VLSI Systems |
3 |
| Fall 2001-2002 |
Computer-Aided Design of VLSI Systems |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| EE 537 Advanced Topics in VLSI Design |
3 Credits |
|
Advanced very large scale integrated (VLSI) circuit design.
Design methodologies (architectural simulation, hardware
description language design entry, silicon compilation, and
verification), microarchitectures, interconnect,
packaging, noise sources, circuit techniques, design for
testability, design rules, VLSI technologies
(silicon and GaAs), and yield. Projects in chip design.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Fall 2018-2019 |
Advanced Topics in VLSI Design |
3 |
| Fall 2016-2017 |
Advanced Topics in VLSI Design |
3 |
| Fall 2012-2013 |
Advanced Topics in VLSI Design |
3 |
| Fall 2009-2010 |
Advanced Topics in VLSI Design |
3 |
| Fall 2007-2008 |
Advanced Topics in VLSI Design |
3 |
| Spring 2004-2005 |
Advanced Topics in VLSI Design |
3 |
| Spring 2000-2001 |
Advanced Topics in VLSI Design |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| EE 539 Reliability Engineering for Integrated Circuits |
3 Credits |
|
Description of the algorithms and procedures required to
study the reliability of integrated circuit products.
Reliability modeling, physical causes of semiconductor
device failure, reliability model development and
calibration, model-based reliability prediction, product
testing and measurement, and failure diagnosis.
Coverage of the course material will
emphasize applications to integrated circuit technology.
|
| Last Offered Terms |
Course Name |
SU Credit |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| EE 540 Mixed-Signal Integrated Systems and Applications |
3 Credits |
|
This course starts with the building blocks of
mixed-signal integrated circuits, mostly data
converters and frequency synthesizers:
comparators, sampling circuits, amplifiers,
controlled oscillators, charge pumps, phase-
frequency detectors, etc. Then, it continues with an
overview of analog-to-digital converters (ADCs)
and phase-locked loops (PLLs). Students will learn
about several ADC and PLL topologies, the use of
mixed-signal integrated circuits in different
applications. Students will also design an ADC or
PLL as a course project.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Spring 2021-2022 |
Mixed-Signal Integrated Systems and Applications |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| EE 541 Theory of Acoustic Devices |
3 Credits |
|
One dimensional theory of sound waves, piezoelectric
materials; piezoelectric transducers, electrical equivalent
circuits and impedance matching. Basic theory for
waves in isotropic medium, acoustic waveguides,
delay lines, interdigital transducers.
Theory and applications of capacitive micromachined
ultrasonic transducers.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Fall 2017-2018 |
Theory of Acoustic Devices |
3 |
| Fall 2015-2016 |
Theory of Acoustic Devices |
3 |
| Fall 2013-2014 |
Theory of Acoustic Devices |
3 |
| Fall 2012-2013 |
Theory of Acoustic Devices |
3 |
| Fall 2010-2011 |
Theory of Acoustic Devices |
3 |
| Fall 2006-2007 |
Theory of Acoustic Devices |
3 |
| Fall 2005-2006 |
Theory of Acoustic Devices |
3 |
| Fall 2004-2005 |
Theory of Acoustic Devices |
3 |
| Fall 2003-2004 |
Theory of Acoustic Devices |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| EE 550 Random Processes |
3 Credits |
|
Random processes and sequences, stationarity and ergodicity
properties of auto- and cross-correlation functions,
white noise, power spectral density and spectral estimation
simulation of random processes, whitening,
linear and non-linear estimation, and Wiener filtering.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Fall 2023-2024 |
Random Processes |
3 |
| Fall 2022-2023 |
Random Processes |
3 |
| Fall 2021-2022 |
Random Processes |
3 |
| Fall 2020-2021 |
Random Processes |
3 |
| Fall 2019-2020 |
Random Processes |
3 |
| Spring 2016-2017 |
Random Processes |
3 |
| Fall 2015-2016 |
Random Processes |
3 |
| Spring 2014-2015 |
Random Processes |
3 |
| Fall 2013-2014 |
Random Processes |
3 |
| Fall 2012-2013 |
Random Processes |
3 |
| Fall 2011-2012 |
Random Processes |
3 |
| Fall 2010-2011 |
Random Processes |
3 |
| Fall 2009-2010 |
Random Processes |
3 |
| Fall 2008-2009 |
Random Processes |
3 |
| Fall 2006-2007 |
Random Processes |
3 |
| Spring 2005-2006 |
Random Processes |
3 |
| Fall 2004-2005 |
Random Processes |
3 |
| Fall 2003-2004 |
Random Signals |
3 |
| Fall 2002-2003 |
Random Signals |
3 |
| Spring 2001-2002 |
Random Signals |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| EE 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 |
| Fall 2010-2011 |
Graduate Seminar I |
0 |
| Fall 2009-2010 |
Graduate Seminar I |
0 |
| Fall 2008-2009 |
Graduate Seminar I |
0 |
| Fall 2007-2008 |
Graduate Seminar I |
0 |
| Fall 2006-2007 |
Graduate Seminar I |
0 |
| Fall 2005-2006 |
Graduate Seminar I |
0 |
| Fall 2004-2005 |
Graduate Seminar I |
0 |
| Fall 2003-2004 |
Graduate Seminar I |
0 |
| Fall 2002-2003 |
Graduate Seminar I |
0 |
| Fall 2001-2002 |
Graduate Seminar I |
0 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 1 ECTS (1 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| EE 552 Graduate Seminar II |
0 Credit |
|
|
| Last Offered Terms |
Course Name |
SU Credit |
| Spring 2023-2024 |
Graduate Seminar II |
0 |
| Spring 2021-2022 |
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 |
| Fall 2016-2017 |
Graduate Seminar II |
0 |
| Spring 2015-2016 |
Graduate Seminar II |
0 |
| Spring 2014-2015 |
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 |
| Spring 2006-2007 |
Graduate Seminar II |
0 |
| Spring 2005-2006 |
Graduate Seminar II |
0 |
| Spring 2004-2005 |
Graduate Seminar II |
0 |
| Spring 2003-2004 |
Graduate Seminar II |
0 |
| Spring 2002-2003 |
Graduate Seminar II |
0 |
| Spring 2001-2002 |
Graduate Seminar II |
0 |
| Spring 2000-2001 |
Graduate Seminar II |
0 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 1 ECTS (1 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| EE 554 Networking - Theory and Fundamentals |
3 Credits |
|
The course introduces analytical models and methodologies
for modern networking, with focus on congestion control
and routing. Topics from queueing theory, optimization,
graph theory, distributed and asynchronous algorithms and
their application to networking will be studied.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Spring 2021-2022 |
Networking - Theory and Fundamentals |
3 |
| Fall 2017-2018 |
Networking - Theory and Fundamentals |
3 |
| Fall 2013-2014 |
Networking - Theory and Fundamentals |
3 |
| Fall 2007-2008 |
Networking - Theory and Fundamentals |
3 |
| Spring 2004-2005 |
Networking - Theory and Fundamentals |
3 |
| Spring 2002-2003 |
Networking - Theory and Fundamentals |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| EE 555 Wireless and Mobile Networks |
3 Credits |
|
Principles of air interface design, characteristics of the
wireless medium, wireless medium access alternatives,
wireless network planning and cellular design,
mobility management, and applications in wireless
wide area networks, including first and second-
generation mobile systems and associated networks
(GSM, IS-54,IS-95), third generation wireless network
(W-CDMA), wireless local area networks (IEEE
802.11 HIPERLAN),wireless ad hoc networks.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Spring 2023-2024 |
Wireless and Mobile Networks |
3 |
| Spring 2021-2022 |
Wireless and Mobile Networks |
3 |
| Spring 2019-2020 |
Wireless and Mobile Networks |
3 |
| Spring 2018-2019 |
Wireless and Mobile Networks |
3 |
| Spring 2015-2016 |
Wireless and Mobile Networks |
3 |
| Spring 2013-2014 |
Wireless and Mobile Networks |
3 |
| Spring 2010-2011 |
Wireless and Mobile Networks |
3 |
| Spring 2008-2009 |
Wireless and Mobile Networks |
3 |
| Spring 2007-2008 |
Wireless and Mobile Networks |
3 |
| Fall 2006-2007 |
Wireless and Mobile Networks |
3 |
| Spring 2004-2005 |
Wireless and Mobile Networks |
3 |
| Fall 2003-2004 |
Wireless and Mobile Networks |
3 |
| Spring 2002-2003 |
Wireless and Mobile Networks |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| EE 556 Antennas and Propagation |
3 Credits |
|
Radiation from a moving point charge. Radiation
from Thin-Wire Antennas with examples on pulse
excitation and time-harmonic excitation, arrays
of linear antennas, aperture antennas, microstrip
antennas and applications to emerging telecommunication
systems.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Spring 2023-2024 |
Antennas and Propagation |
3 |
| Spring 2022-2023 |
Antennas and Propagation |
3 |
| Spring 2021-2022 |
Antennas and Propagation |
3 |
| Spring 2020-2021 |
Antennas and Propagation |
3 |
| Spring 2019-2020 |
Antennas and Propagation |
3 |
| Spring 2018-2019 |
Antennas and Propagation |
3 |
| Spring 2017-2018 |
Antennas and Propagation |
3 |
| Spring 2016-2017 |
Antennas and Propagation |
3 |
| Spring 2015-2016 |
Antennas and Propagation |
3 |
| Spring 2014-2015 |
Antennas and Propagation |
3 |
| Spring 2013-2014 |
Antennas and Propagation |
3 |
| Spring 2012-2013 |
Antennas and Propagation |
3 |
| Spring 2011-2012 |
Antennas and Propagation |
3 |
| Spring 2010-2011 |
Antennas and Propagation |
3 |
| Spring 2008-2009 |
Antennas and Propagation |
3 |
| Spring 2007-2008 |
Antennas and Propagation |
3 |
| Fall 2006-2007 |
Antennas and Propagation |
3 |
| Spring 2003-2004 |
Antennas and Propagation |
3 |
| Spring 2002-2003 |
Antennas and Propagation |
3 |
| Spring 2000-2001 |
Antennas and Propagation |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| EE 561 DSP Systems Design and Implementation |
3 Credits |
|
A study of theory and practice in the design and
implementation of DSP algorithms on programmable
processors, multiprocessors, and ASICs.
Specification, evaluation, and implementation of
real-time DSP software applications on embedded
DSP-based environments.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Fall 2015-2016 |
DSP Systems Design and Implementation |
3 |
| Fall 2013-2014 |
DSP Systems Design and Implementation |
3 |
| Fall 2012-2013 |
DSP Systems Design and Implementation |
3 |
| Fall 2011-2012 |
DSP Systems Design and Implementation |
3 |
| Fall 2010-2011 |
DSP Systems Design and Implementation |
3 |
| Fall 2009-2010 |
DSP Systems Design and Implementation |
3 |
| Fall 2008-2009 |
DSP Systems Design and Implementation |
3 |
| Fall 2007-2008 |
DSP Systems Design and Implementation |
3 |
| Fall 2006-2007 |
DSP Systems Design and Implementation |
3 |
| Fall 2005-2006 |
DSP Systems Design and Implementation |
3 |
| Fall 2004-2005 |
DSP Systems Design and Implementation |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| EE 563 Digital Image Processing |
3 Credits |
|
Digital Image Processing Imaging modalities and application
areas, the electromagnetic spectrum. Two-dimensional
sampling, aliasing, and quantization. Image representation,
unitary transforms. Image enhancement, point operations,
histogram processing, filtering. Image restoration and
reconstruction, image deblurring, inverse problems, computed
tomography. Image segmentation, pixel-based, edge-based,
and region-based techniques, active contours. Image
compression. Pattern recognation and scene interpretation.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Spring 2016-2017 |
Digital Image Processing |
3 |
| Spring 2015-2016 |
Digital Image Processing |
3 |
| Spring 2014-2015 |
Digital Image Processing |
3 |
| Spring 2013-2014 |
Digital Image Processing |
3 |
| Spring 2012-2013 |
Digital Image Processing |
3 |
| Spring 2011-2012 |
Digital Image Processing |
3 |
| Spring 2010-2011 |
Digital Image Processing |
3 |
| Spring 2009-2010 |
Digital Image Processing |
3 |
| Spring 2008-2009 |
Digital Image Processing |
3 |
| Spring 2007-2008 |
Digital Image Processing |
3 |
| Spring 2006-2007 |
Digital Image Processing |
3 |
| Fall 2005-2006 |
Digital Image Processing |
3 |
| Fall 2002-2003 |
Digital Image Processing |
3 |
| Spring 2001-2002 |
Digital Image Processing |
3 |
| Fall 2001-2002 |
Digital Image Processing |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| EE 566 Pattern Recognition |
3 Credits |
|
Statistical Pattern Recognition: Parameter Estimation and
Supervised Learning, Bayesian Decision Theory, nonparametric
approaches (Parzen windows, Nearest Neighbor), Linear
Discriminant Functions, Feature extraction/selection;
Pattern Recognition via Neural Networks; Syntactic Pattern
Recognition; Nonmetric Methods, Unsupervised Learning and
Clustering, Hidden Markov Models, Classifier Combination
|
| Last Offered Terms |
Course Name |
SU Credit |
| Fall 2022-2023 |
Pattern Recognition |
3 |
| Spring 2020-2021 |
Pattern Recognition |
3 |
| Spring 2014-2015 |
Pattern Recognition |
3 |
| Spring 2013-2014 |
Pattern Recognition |
3 |
| Spring 2012-2013 |
Pattern Recognition |
3 |
| Spring 2011-2012 |
Pattern Recognition |
3 |
| Spring 2010-2011 |
Pattern Recognition |
3 |
| Spring 2009-2010 |
Pattern Recognition |
3 |
| Spring 2007-2008 |
Pattern Recognition |
3 |
| Fall 2006-2007 |
Pattern Recognition |
3 |
| Fall 2005-2006 |
Pattern Recognition |
3 |
| Fall 2004-2005 |
Pattern Recognition |
3 |
| Fall 2003-2004 |
Pattern Recognition |
3 |
| Fall 2002-2003 |
Pattern Recognition |
3 |
| Spring 2001-2002 |
Pattern Recognition |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| EE 567 Nano-Optics |
3 Credits |
|
This course will cover nano-optical devices and transducers
and their applications for manipulating light on the
nanoscale. Interaction of light with nano-structures,
thin-films, metallic nano-antennas has many
potential applications. This course is intended to teach
students the principals of nano-optics encountered
in different applications. Therefore, this course can be of
interest for students in many departments. In addition
to homework and exams, individual projects will be
assigned to students to apply their new
knowledge of nano-optical systems in different applications.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Fall 2023-2024 |
Nano-Optics |
3 |
| Spring 2021-2022 |
Nano-Optics |
3 |
| Spring 2020-2021 |
Nano-Optics |
3 |
| Spring 2017-2018 |
Nano-Optics |
3 |
| Spring 2014-2015 |
Nano-Optics |
3 |
| Spring 2013-2014 |
Nano-Optics |
3 |
| Spring 2012-2013 |
Nano-Optics |
3 |
| Spring 2011-2012 |
Nano-Optics |
3 |
| Fall 2010-2011 |
Nano-Optics |
3 |
| Fall 2009-2010 |
Nano-Optics |
3 |
| Fall 2008-2009 |
Nano-Optics |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| EE 568 Detection and Estimation Theory |
3 Credits |
|
Principle of estimation, detection and time series
analysis. Estimation: Linear and nonlinear minimum
mean squared error ,estimation and other strategies.
Detection: simple, composite, binary and multiple
hypotheses, Neyman-Pearson and Bayesian approaches.
Time series analysis: Wiener, Kalman filtering ,
prediction and modal Analysis.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Fall 2021-2022 |
Detection and Estimation Theory |
3 |
| Fall 2020-2021 |
Detection and Estimation Theory |
3 |
| Fall 2019-2020 |
Detection and Estimation Theory |
3 |
| Spring 2015-2016 |
Detection and Estimation Theory |
3 |
| Spring 2014-2015 |
Detection and Estimation Theory |
3 |
| Spring 2012-2013 |
Detection and Estimation Theory |
3 |
| Spring 2011-2012 |
Detection and Estimation Theory |
3 |
| Spring 2010-2011 |
Detection and Estimation Theory |
3 |
| Spring 2009-2010 |
Detection and Estimation Theory |
3 |
| Spring 2008-2009 |
Detection and Estimation Theory |
3 |
| Spring 2007-2008 |
Detection and Estimation Theory |
3 |
| Spring 2006-2007 |
Detection and Estimation Theory |
3 |
| Fall 2005-2006 |
Detection and Estimation Theory |
3 |
| Spring 2003-2004 |
Detection and Estimation Theory |
3 |
|
| Prerequisite: EE 550 - Masters - Min Grade D |
| and EE 550 - Doctorate - Min Grade D |
| Corequisite: __ |
| ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| EE 571 Linear Systems |
3 Credits |
|
Gives the fundamental theory of linear dynamical systems in
both continuous and discrete time. The course covers state-
space representations, vector spaces, linear operators,
eigenvalues and eigenvectors, functions of vectors and
matrices, solutions to state equations, stability,
controllability, observability, realization theory, feedback
and observers.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Fall 2022-2023 |
Linear Systems |
3 |
| Fall 2021-2022 |
Linear Systems |
3 |
| Fall 2020-2021 |
Linear Systems |
3 |
| Spring 2015-2016 |
Linear Systems |
3 |
| Spring 2013-2014 |
Linear Systems |
3 |
| Fall 2011-2012 |
Linear Systems |
3 |
| Spring 2009-2010 |
Linear Systems |
3 |
| Spring 2008-2009 |
Linear Systems |
3 |
| Spring 2007-2008 |
Linear Systems |
3 |
| Fall 2006-2007 |
Linear Systems |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| EE 573 Biomedical Instrumentation |
3 Credits |
|
Principles of biomedical transducers; amplifiers and signal
processing; the origin, sensing and amplification of
biopotentials; blood flow and pressure measurement;
medical imaging, medical ultrasound and array signal
processing; patient safety in medical instrumentation.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Fall 2023-2024 |
Biomedical Instrumentation |
3 |
| Fall 2022-2023 |
Biomedical Instrumentation |
3 |
| Fall 2021-2022 |
Biomedical Instrumentation |
3 |
| Fall 2020-2021 |
Biomedical Instrumentation |
3 |
| Fall 2019-2020 |
Biomedical Instrumentation |
3 |
| Fall 2018-2019 |
Biomedical Instrumentation |
3 |
| Fall 2017-2018 |
Biomedical Instrumentation |
3 |
| Fall 2016-2017 |
Biomedical Instrumentation |
3 |
| Fall 2015-2016 |
Biomedical Instrumentation |
3 |
| Fall 2014-2015 |
Biomedical Instrumentation |
3 |
| Fall 2013-2014 |
Biomedical Instrumentation |
3 |
| Fall 2012-2013 |
Biomedical Instrumentation |
3 |
| Fall 2011-2012 |
Biomedical Instrumentation |
3 |
| Fall 2010-2011 |
Biomedical Instrumentation |
3 |
| Fall 2009-2010 |
Biomedical Instrumentation |
3 |
| Fall 2008-2009 |
Biomedical Instrumentation |
3 |
| Fall 2007-2008 |
Biomedical Instrumentation |
3 |
| Fall 2006-2007 |
Biomedical Instrumentation |
3 |
| Fall 2005-2006 |
Biomedical Instrumentation |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| EE 58000 Special Topics in EE: System-on-Chip Design and Test |
3 Credits |
|
VLSI system computer aided design (CAD) tools; laboratory
experience in custom VLSI system chip design on
workstations using concepts of cell hierarchy; design of
large adder arrays and multipliers; VLSI architecture
design; pipelining; low-power design strategies; final
proje involving specification, design and evaluation of
a VLSI chip or VLSI CAD program; written report and
oral presentation on the final project.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Spring 2021-2022 |
Special Topics in EE: System-on-Chip Design and Test |
3 |
| Spring 2017-2018 |
Special Topics in EE: System-on-Chip Design and Test |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| EE 58001 Special Topics in EE: Advanced Nanoscale Integrated Circuit Design |
3 Credits |
|
This course describes high performance and low power
integrated circuit (IC) design issues for advanced
nanoscale technologies. After a brief review of VLSI
design methodologies and current IC trends, fundamental
challenges related to the conventional CMOS
technologies are described. The shift from logic-centric to
interconnect-centric design is emphasized. Primary
aspects of an interconnect-centric design flow are
described in four phases: (1) general characteristics of on-
chip interconnects, (2) on-chip interconnects for data
signals, (3) on-chip power generation and distribution,
and (4) on-chip clock generation and distribution.
Existing design challenges faced by IC industry are
investigated for each phase. Tradeoffs among various
design criteria such as speed-power-noise-area are
highlighted. In the last phase of the course, several post-
CMOS devices, emerging circuit styles, and architectures
are briefly discussed. At the end of the course, the
students will have a thorough understanding of the
primary
circuit and physical level design challenges with
application to industrial IC design. )
|
| Last Offered Terms |
Course Name |
SU Credit |
| Spring 2019-2020 |
Special Topics in EE: Advanced Nanoscale Integrated Circuit Design |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| EE 58002 Special Topics in EE: Sensor Networks |
3 Credits |
|
Sensors, getting smaller down to nano-scales, serve
grandiose objectives such as Artificial Intelligence
aiding and supporting humanity in the current
facilitating background of Industry 4.0 and Internet of
Things. This course will focus on the communication of
sensors of differing scales; from nano sensors to smart
dust to seismic sensors, in different media such as
underground, under water, and air. Rather than device
level electronics and physical layer communications,
we will study networking algorithms and efficiency.
This course is project-based.
|
| Last Offered Terms |
Course Name |
SU Credit |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| EE 58003 Special Topics in EE: VLSI Systems Design I |
3 Credits |
|
Complementary Metal-Oxide Semiconductor (CMOS)
technology and limitations; CMOS circuit and logic
design; layout rules and techniques; circuit
characterization and performance estimation; CMOS
subsystem design, basic building blocks; structured
design principles; Very-Large-Scale Integrated (VLSI)
system design methods; DRC, logic and circuit
simulation.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Fall 2022-2023 |
Special Topics in EE: VLSI Systems Design I |
3 |
| Fall 2020-2021 |
Special Topics in EE: VLSI Systems Design I |
3 |
| Summer 2019-2020 |
Special Topics in EE: VLSI Systems Design I |
3 |
| Fall 2019-2020 |
Special Topics in EE: VLSI Systems Design I |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| EE 58004 Special Topics in EE: Power systems analysis |
3 Credits |
|
Introduction to power systems. Typical structures,
generation sources, renewables, transmission and
distribution. Simulation software. Matrix representation
of grids. Nodal analysis, modified nodal analysis, state
equations and hybrid analysis. Steady-state. Modeling
of lines, transformers, loads and generators. Short
circuit studies with sequence networks. Load flow.
Multiphase load flow. Voltage stability. Introduction to
electromechanical transients. Introduction to
electromagnetic transients.
|
| Last Offered Terms |
Course Name |
SU Credit |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| EE 58005 Special Topics in ME: Compliant Motion Systems |
3 Credits |
|
This course focuses on modeling and control of
compliant motion systems, such as manipulators with
flexible links, compliant (soft) actuators, or systems with
compliant transmission mechanisms. We will begin with
fundamental nonlinear system analysis tools and non-
collocated actuator/sensor pairs, and then cover the most
prominent control methodologies for such systems.
|
| Last Offered Terms |
Course Name |
SU Credit |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| EE 58006 Special Topics in EE: FPGA in Quantum Computing with Superconducting Qubits |
3 Credits |
|
The course covers fundamentals of digital hardware
design using FPGA with a focus on its utilization on
quantum experiments as a control, signal acquisition
and signal processing device. No prior knowledge in
quantum physics or FPGA is required.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Fall 2020-2021 |
Special Topics in EE: FPGA in Quantum Computing with Superconducting Qubits |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| EE 58008 Special Topics in EE: Heterogeneous Computing and System-on-Chip Design |
3 Credits |
|
1. Introduction - System-on-Chip (SoC), System-on-System
(SoS) 2. Processor Design Approach 3.
Processor Performance Modeling 4. Pipelining
5. Shared Memory Systems and Coherency 6. HW/SW
Co-Design 7. Accelerator-based System Design
8. Basics of Chips and Hardware Accelerators 9.
Hardware Accelerators and Co-Processors 10.
Parallel SoC Systems and Programming 11. On-Chip
Interconnection 12. SoC Communication Architectures
13. Network on Chip (NoC) and NoC-based
Interconnection 14. SoC Application Case Studies
|
| Last Offered Terms |
Course Name |
SU Credit |
| Spring 2023-2024 |
Special Topics in EE: Heterogeneous Computing and System-on-Chip Design |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| EE 5807 Special Topics in EE:Millimeter-Wave and Terahertz CMOS |
3 Credits |
|
The course is simply composed of four main
parts. In the first part, fundamentals of wireless
communications along with the link budget
calculations are covered. In the second one, mm-
Wave and THz CMOS transceivers are introduced
for ultra-high data-rate wireless systems, phased
arrays, and THz radiators (THz Transmitters).
Following to this part, active and passive devices
on CMOS for millimeter-wave and THz circuits
are introduced. In this part, characterization of
these devices and modeling are covered as well as
calibration and de-embedding methods for device
measurements. In the final part, design of some
millimeter-wave and THz circuits are explained.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Spring 2023-2024 |
Special Topics in EE:Millimeter-Wave and Terahertz CMOS |
3 |
| Fall 2022-2023 |
Special Topics in EE:Millimeter-Wave and Terahertz CMOS |
3 |
|
| Prerequisite: EE 306 - Undergraduate - Min Grade D |
| and (EE 411 - Undergraduate - Min Grade D |
| or EE 409 - Undergraduate - Min Grade D) |
| Corequisite: EE 5807R |
| ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| EE 5807R Special Topics in EE: Millimeter-Wave and Terahertz CMOS - Recitation |
0 Credit |
|
|
| Last Offered Terms |
Course Name |
SU Credit |
| Spring 2023-2024 |
Special Topics in EE: Millimeter-Wave and Terahertz CMOS - Recitation |
0 |
| Fall 2022-2023 |
Special Topics in EE: Millimeter-Wave and Terahertz CMOS - Recitation |
0 |
|
| Prerequisite: __ |
| Corequisite: EE 5807 |
| ECTS Credit: NONE ECTS (NONE ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| EE 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: |
|
|
| |
| EE 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 |
| Fall 2007-2008 |
Project |
0 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 20 ECTS (20 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| EE 606 Advanced Computer Vision |
3 Credits |
|
The aim of the course is to study computer vision,
which tries to "make computers see and interpret"
using the observations in the form of multiple
2D images or 3D images. Sophisticated computational
techniques are developed with the goal of estimating
and making inferences about the geometric and dynamic
properties of the 3D world around us. A tentative list
of topics for the course includes: review of camera
models/calibration, review of projective geometry,
introductory differantial geometry, 3D object reconstruction
from two (multiple) views, volumetric 3D reconstruction,
2D and 3D motion estimation, image stitching/panorama,
fetaure extraction and matching (sift,...), image inpainting
, image blending/compositing, and other state-of-the-art 3D
vision topics. The course will provide the participants with
an up to date back ground in 3Dimensional computer vision.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Spring 2010-2011 |
Advanced Computer Vision |
3 |
| Spring 2008-2009 |
Advanced Computer Vision |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| EE 626 Microelectromechanical Systems (MEMS) |
3 Credits |
|
The course includes a summary of integrated circuit
fabrication technologies leading into an overview
of the technologies available to shape electromechanical
elements on a submillimeter scale. Physics of
MEMS devices will be covered at a level necessary to
design and analyze new devices and systems.
Electronic interfacing, mechanical and electrical noise,
fundamental limits of CAD tools, layout,
process simulation.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Spring 2023-2024 |
Microelectromechanical Systems (MEMS) |
3 |
| Spring 2022-2023 |
Microelectromechanical Systems (MEMS) |
3 |
| Spring 2021-2022 |
Microelectromechanical Systems (MEMS) |
3 |
| Spring 2020-2021 |
Microelectromechanical Systems (MEMS) |
3 |
| Spring 2019-2020 |
Microelectromechanical Systems (MEMS) |
3 |
| Spring 2018-2019 |
Microelectromechanical Systems (MEMS) |
3 |
| Spring 2017-2018 |
Microelectromechanical Systems (MEMS) |
3 |
| Spring 2016-2017 |
Microelectromechanical Systems (MEMS) |
3 |
| Spring 2015-2016 |
Microelectromechanical Systems (MEMS) |
3 |
| Spring 2014-2015 |
Microelectromechanical Systems (MEMS) |
3 |
| Fall 2012-2013 |
Microelectromechanical Systems (MEMS) |
3 |
| Fall 2011-2012 |
Microelectromechanical Systems (MEMS) |
3 |
| Fall 2006-2007 |
Microelectromechanical Systems (MEMS) |
3 |
| Fall 2005-2006 |
Microelectromechanical Systems (MEMS) |
3 |
| Fall 2004-2005 |
Microelectromechanical Systems (MEMS) |
3 |
| Spring 2002-2003 |
Microelectromechanical Systems (MEMS) |
3 |
| Spring 2001-2002 |
Microelectromechanical Systems (MEMS) |
3 |
| Spring 2000-2001 |
Microelectromechanical Systems (MEMS) |
3 |
|
| Prerequisite: __ |
| Corequisite: EE 626L |
| ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| EE 626L Microelectromechanical Systems (MEMS) Lab. |
0 Credit |
|
|
| Last Offered Terms |
Course Name |
SU Credit |
| Spring 2023-2024 |
Microelectromechanical Systems (MEMS) Lab. |
0 |
| Spring 2022-2023 |
Microelectromechanical Systems (MEMS) Lab. |
0 |
| Spring 2021-2022 |
Microelectromechanical Systems (MEMS) Lab. |
0 |
| Spring 2020-2021 |
Microelectromechanical Systems (MEMS) Lab. |
0 |
| Spring 2019-2020 |
Microelectromechanical Systems (MEMS) Lab. |
0 |
| Spring 2018-2019 |
Microelectromechanical Systems (MEMS) Lab. |
0 |
|
| Prerequisite: __ |
| Corequisite: EE 626 |
| ECTS Credit: NONE ECTS (NONE ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| EE 628 Force Control and 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 force controlled and
bilaterally teleoperated systems. By the end of
the course a solid understanding of the principles of
force/bilateral control in the context of modern
classical control and hands on experience with
implementation of force/bilateral controllers on force
feedback devices are aimed. Covered topics
include fundamental limitations of feedback control,
explicit force control, implicit force control, impedance
control, admittance control, reaction force observers,
scaled teleoperation architectures, trade-off between
robust stability and transperancy, physics based
simulation of virtual environments, haptics rendering,
passivity of the human-in-the-loop sampled data system,
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 |
| Fall 2023-2024 |
Force Control and Bilateral Teleoperation |
3 |
| Fall 2022-2023 |
Force Control and Bilateral Teleoperation |
3 |
| Fall 2020-2021 |
Force Control and Bilateral Teleoperation |
3 |
| Fall 2018-2019 |
Force Control and Bilateral Teleoperation |
3 |
| Fall 2016-2017 |
Force Control and Bilateral Teleoperation |
3 |
| Fall 2014-2015 |
Force Control and Bilateral Teleoperation |
3 |
| Fall 2008-2009 |
Force Control and Bilateral Teleoperation |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| EE 632 Mixed-Signal VLSI Systems Design |
3 Credits |
|
Integrated-circuit fabrication; circuit modeling and
simulation; basic and advanced operational amplifiers and
comparators; switched-capacitor and
continuous-time filters; data converters; mixed-signal IC
layout techniques.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Spring 2010-2011 |
Mixed-Signal VLSI Systems Design |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| EE 633 Microwave Devices and Circuits |
3 Credits |
|
Very-high frequency behavior of electronic devices.
Avalanche, transferred electron, and acoustoelectric
oscillators and amplifiers; parametric
interactions. General properties and design of nonlinear
solid-state microwave networks, including: negative
resistance oscillators and amplifiers,
frequency convertors and resistive mixers,
transistor amplifiers, power combiners, and harmonic
generators.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Fall 2023-2024 |
Microwave Devices and Circuits |
3 |
| Fall 2021-2022 |
Microwave Devices and Circuits |
3 |
| Fall 2020-2021 |
Microwave Devices and Circuits |
3 |
| Fall 2019-2020 |
Microwave Devices and Circuits |
3 |
| Fall 2018-2019 |
Microwave Devices and Circuits |
3 |
| Fall 2017-2018 |
Microwave Devices and Circuits |
3 |
| Fall 2015-2016 |
Microwave Devices and Circuits |
3 |
| Fall 2014-2015 |
Microwave Devices and Circuits |
3 |
| Fall 2013-2014 |
Microwave Devices and Circuits |
3 |
| Spring 2011-2012 |
Microwave Devices and Circuits |
3 |
| Fall 2007-2008 |
Microwave Devices and Circuits |
3 |
| Spring 2004-2005 |
Microwave Devices and Circuits |
3 |
| Fall 2002-2003 |
Microwave Devices and Circuits |
3 |
| Fall 2001-2002 |
Microwave Devices and Circuits |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| EE 634 VLSI Array Processors for Signal Processing |
3 Credits |
|
Signal processing algorithms; applications of special
purpose VLSI processing architecture, systolic/wavefront
arrays, VLSI DSP chips and array
processors to digital signal processing and scientific
computation.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Spring 2020-2021 |
VLSI Array Processors for Signal Processing |
3 |
| Spring 2015-2016 |
VLSI Array Processors for Signal Processing |
3 |
| Fall 2010-2011 |
VLSI Array Processors for Signal Processing |
3 |
| Fall 2008-2009 |
VLSI Array Processors for Signal Processing |
3 |
| Fall 2006-2007 |
VLSI Array Processors for Signal Processing |
3 |
| Fall 2004-2005 |
VLSI Array Processors for Signal Processing |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| EE 636 Formal Specification and Verification of Digital Systems |
3 Credits |
|
This course covers major formal specification and
verification approaches used in the automation of
digital design. Topics include the use of
logic-based formalisms, formal verification of
combinatorial circuit designs, symbolic model checking,
specification and verification of synchronous
and asynchronous sequential circuits, compositional
verification, verification of complex hardware systems.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Fall 2001-2002 |
Formal Specification and Verification of Digital Systems |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| EE 653 Microwave Communications |
3 Credits |
|
Communication Engineering Transmission Systems--Design
of transmission systems for television, telephone, and
data-using satellites, microwave
repeaters, mobile radio, and broadcast transmitters.
Performance of FM, AM, SSB common digital schemes
and spread-spectrum modulation, time,
frequency, and code multiplexing. Emphasis
on link performance, capacity, total system design,
and cost optimization. Current industry design
problems and research results.
|
| Last Offered Terms |
Course Name |
SU Credit |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| EE 654 Information Theory |
3 Credits |
|
Entropy and mutual information concepts, Markov chains
and entropy rate. Shannon�s lossless source coding,
channel capacity, white and colored
Gaussian channels, rate distortion theory with applications
to scalar and vector quantizer design. Multi-user
information theory and applications.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Spring 2023-2024 |
Information Theory |
3 |
| Spring 2022-2023 |
Information Theory |
3 |
| Spring 2021-2022 |
Information Theory |
3 |
| Spring 2017-2018 |
Information Theory |
3 |
| Spring 2015-2016 |
Information Theory |
3 |
| Fall 2014-2015 |
Information Theory |
3 |
| Fall 2012-2013 |
Information Theory |
3 |
| Fall 2010-2011 |
Information Theory |
3 |
| Fall 2008-2009 |
Information Theory |
3 |
| Spring 2006-2007 |
Information Theory |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| EE 672 System Identification |
3 Credits |
|
Aims to provide the fundamental theory of identification of
dynamical systems, i.e. how to use measured input-output
data to build mathematical models, typically in terms of
differential or difference equations. It covers: The
mathematical foundations of System Identification,
Non-parametric techniques, Parametrizations and model
structures, Parameter estimation, Asymptotic statistical
theory, User choices, Experimental design, Choice of model
structure.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Spring 2023-2024 |
System Identification |
3 |
| Spring 2021-2022 |
System Identification |
3 |
| Spring 2020-2021 |
System Identification |
3 |
| Fall 2015-2016 |
System Identification |
3 |
| Spring 2010-2011 |
System Identification |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| EE 68000 Special Topics in EE: Advances in Radar Imaging |
3 Credits |
|
|
| Last Offered Terms |
Course Name |
SU Credit |
| Fall 2016-2017 |
Special Topics in EE: Advances in Radar Imaging |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| EE 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: |
|
|
| |
