Transcript EE 215. Stochastic Processes - Department of Electrical and

Department of
Electrical Engineering
Graduate Student
Fall 2007 Orientation
Alexander Balandin
Graduate Advisor
Important Dates to Remember

Monday, September 17, 2007
EE new graduate student mandatory orientation

Friday, September 21, 2007
Graduate Division mandatory orientation

Monday-Wednesday, September 24, 25 & 26, 2007
TADP workshop series

Thursday, September 27, 2007
First day of class
Important Information for Students
 SPEAK Test or TAST
• All TAs must have a clear pass on one of these tests
• Your TA income depends on you passing the test
• You cannot receive a Ph.D. in E.E. without a clear pass
• For additional information refer to the orientation
handbook
• There is a $35 fee to take the SPEAK test – student pays
SPEAK Scoring

50 – 60
Clear Pass: no further English classes or
testing required

40 – 45
Conditional Pass: may perform TA duties;
mandatory participation in the ESL
program at University Extension

20 – 35
Fail: may not perform TA duties;
mandatory participation in the ESL
program at University Extension
Required for all
Teaching Assistants (TAs)

New Teaching Assistant Orientation
• Monday, September 24, 8:00AM-12noon at Life Sciences 1500

TADP Prep Course I
• Tuesday, September 25, sessions are scheduled between
8:00AM – 5:00PM, 4 hours only

TADP Prep Course II
• Wednesday, September 26, sessions are scheduled between
8:00AM – 5:00PM, 4 hours only
TADP= Teaching Assistant Development Program
NOTE: To register go to www.tadp.ucr.edu/
Attendance Required for All
New Graduate Students
 Electrical Engineering New Graduate
Student Orientation
• Here and now
 Graduate Division New Graduate Student
Orientation
• Friday, September 21
2:00 pm - 4:00 pm
University Lecture Hall
Required for all Ph.D. Students With
Financial Support Packages
 Report to your research advisor (Professor) listed on
your award statement ($$)
 Your continued support is contingent upon
satisfactory performance in your professor’s lab
 Maintain a minimum GPA of 3.50
Safety Training
 ALL graduate student are required to attend the Laboratory Safety
Orientation. Please sign up for the training by accessing the Environmental
Health and Safety web site at:
http://ehs.ucr.edu/programs/training1/login.asp
 Hazardous Waste Management training required for all students working in
a wet lab
 Radiation Safety Training required for all students working with
microwaves, radioisotopes, antennas, or other electromagnetic emitting
devices. Contact Dr. Russell Vernon at [email protected] to sign up
for this training.
Note: Laser Safety Training is required if you work with laser
 All students must submit their Certificates of Completion to Bill Bingham,
Department Manager
 If you have questions on safety, consult Dan Giles, EE Safety Coordinator,
and/or your faculty research advisor
Role of the Graduate Advisor
(Alexander Balandin)
ADVISING

Course selection
• First, discuss with your research advisor (professor)
• If still questions, discuss with me, the Graduate Advisor
• I review and sign off on all course registration
• Course selection should allow you to so pass the Preliminary (written) exam
NOTE: All Ph.D. students must pass this exam to continue in the Ph.D. program

Finding a research advisor
• Required for all Ph.D. student

M.S. student options
• Plan I: M.S. Thesis
• Plan II: Comprehensive Exam
Role of the Graduate Advisor
(cont.)
Initial Advice
 Read the EE Graduate Student Manual available at www.ee.ucr.edu
 Go to the EE web page: www.ee.ucr.edu
• People
- Faculty – check out their research when searching for an advisor
- Staff (Vanda – Graduate Program Assistant)
- Graduate Students
• Student information
- Schedule of classes: http://www.classes.ucr.edu/schedule/
- Graduate Course Descriptions:
http://www.catalog.ucr.edu/current/ee.html
- GROWL to access your enrollment information:
https://ucribm.ucr.edu/Paws/PAWS.html
Focus Areas at EE Department and
Course Selection
•
•
•
•
•
Communications & Signal Processing (CSP)
Computer Engineering (CE)
Controls & Robotics (CR)
Intelligent Systems (IS)
Nano Materials, Devices & Circuits (NMDC)
Courses Offered in Fall 2007
Descriptions of all courses are available on the EE web site
 EE 201 Applied Quantum Mechanics (Nano Materials, Devices & Circuits)
 EE 210 Advanced Digital Signal Processing (Comm. & Signal Processing)
 EE 212 Quantum Electron Transport (Nano Materials, Devices & Circuits)
 EE 215 Stochastic Processes (Comm. & Signal Processing; Controls & Robotics)
 EE 220 Applied Ferromagnetism (Nano Materials, Devices & Circuits)
 EE 259 Colloquium in Electrical Engineering*
 EE 260 Seminar in Computational Aspects of Integrative Biology
 EE 290 Directed Studies (petition required)
 EE 297 Directed Research
 EE 298I Individual Internship in Electrical Engineering
 EE 299 Research for Thesis or Dissertation
* Required of all first year students for three quarters
Description of Courses Offered
EE 201. Applied Quantum Mechanics. (4)
Prerequisite(s): PHYS 040A, MATH 046. Schroedinger equation, operator
formalism, harmonic oscillator, quantum wells, spin, bosons and fermions,
solids, perturbation theory, WKB approximation, tunneling, tight-binding
model, quantum measurements, quantum cryptography, and quantum
computing.
EE 210. Advanced Digital Signal Processing (4)
Lecture, 3 hours; discussion, 1 hour. Prerequisite(s): EE 110B, EE 141.
Provides in-depth coverage of advanced techniques for digital filter and
power spectral estimation. Topics include digital filter design, discrete
random signals, finite-wordlength effects, nonparametric and parametric
power spectrum estimation, multirate digital signal processing, least square
methods of digital filter design, and digital filter applications.
EE 212. Quantum Electron Transport (4)
Lecture, 3 hours; discussion, 1 hour. Prerequisite(s): EE 208. Covers the
theory and methods used to model quantum electron transport in
ultrascaled traditional semiconductor devices such as transistors,
nanoscaled research semiconductor devices such as quantum dots, and
novel electronic material systems such as carbon nanotubes and molecular
wires.
EE 215. Stochastic Processes (4)
Prerequisite(s): EE 210 and 235. A study of probability theory and
stochastic processes, with a focus on the most fundamental aspect of
modern communications, control, and signal processing systems driven by
random signal inputs. Topics include random variables and stochastic
processes; spectral analysis; Wiener optimum filter, matched filter, and
Karhunen-Loeve expansion; mean square estimation theory including
smoothing, filtering, and linear prediction; Levinson’s algorithm, Lattice
filters, and Kalman filters; and the Markov process
EE 220. Applied Ferromagnetism (4)
Introduces fundamentals of ferromagnetism necessary to develop nextgeneration nanomagnetic and spintronics-related devices. Includes basics of
magnetism, magnetic circuits, ferromagnetic resonance (FMR), nuclear
magnetic resonance (NMR), spintronics, and analyses of applications.
EE 259. Colloquium in Electrical Engineering (1)
Colloquium, 1 hour. Prerequisite(s): graduate standing. Lectures on current
research topics in electrical engineering presented by faculty members and
visiting scientists. Graded Satisfactory (S) or No Credit (NC). Course is
repeatable.
EE 260. Seminar in Electrical Engineering (4)
Seminar, 4 hours. Prerequisite(s): consent of instructor. Seminar on current
research topics in electrical engineering, including areas such as signal
processing, image processing, control, robotics, intelligent systems,
computer vision, and pattern recognition. Course is repeatable to a
maximum of 16 units.
EE 290. Directed Studies (1-6)
Individual study, 3-18 hours. Prerequisite(s): graduate standing; consent of
instructor and Graduate Advisor. Individual study, directed by a faculty
member, of selected topics in electrical engineering. Graded Satisfactory
(S) or No Credit (NC). Course is repeatable to a maximum of 12 units.
EE 297. Directed Research (1-6)
Outside research, 3-18 hours. Prerequisite(s): graduate standing; consent of
instructor. Research conducted under the supervision of a faculty member
on selected problems in electrical engineering. Graded Satisfactory (S) or
No Credit (NC). Course is repeatable.
EE 298-I. Individual Internship in Electrical Engineering (1-12)
Internship, 2-24 hours; written work, 1-12 hours. Prerequisite(s): graduate
standing; consent of instructor. Provides the Electrical Engineering
graduate student with career experience as an electrical engineer in an
industry or a research unit. Includes fieldwork with an approved
professional individual or organization and academic work under the
direction of a faculty member. Requires a final report. Graded Satisfactory
(S) or No Credit (NC). Course is repeatable to a maximum of 12 units.
EE 299. Research for the Thesis or Dissertation (1-12)
Outside research, 3-36 hours. Prerequisite(s): graduate standing; consent of
instructor. Research in electrical engineering for the M.S. thesis or Ph.D.
dissertation. Graded Satisfactory (S) or No Credit (NC). Course is
repeatable.
NOTE: The description of all courses offered by the Department of Electrical
Engineering is available at:
www.catalog.ucr.edu/current/ee.html
WHEN SELECTING THE COURSES DO NOT
FORGET ABOUT THE PRELIMINARY
(WRITTEN) EXAM
Recommended Courses for Fall 07
Nano Materials, Devices and Circuits
EE 201 - Applied Quantum Mechanics
EE 215 - Stochastic Processes
EE 220 - Applied Ferromagnetism
EE 259 - Colloquium in Electrical Engineering
Control and Robotics
EE 215 - Stochastic Processes
EE 210 - Advanced Digital Signal Processing
EE 259 - Colloquium in Electrical Engineering
MATH 209 – Real Analysis
Intelligent Systems
EE 215 - Stochastic Processes
EE 210 - Advanced Digital Signal Processing
EE 259 - Colloquium in Electrical Engineering
EE 260 - Seminar in Electrical Engineering Computational Aspects of Integrative Biology
EE 290 - Directed Studies
Communications and Signal
Processing
EE 215 - Stochastic Processes
EE 210 - Advanced Digital Signal Processing
EE 259 - Colloquium in Electrical Engineering
EE 290 - Directed Studies
STAT 210 – Theoretical Statistics & Probability
Computer Engineering
EE 201 - Applied Quantum Mechanics
EE 210 - Advanced Digital Signal Processing
EE 215 - Stochastic Processes
EE 259 - Colloquium in Electrical Engineering
Enrolling in Courses
 Before each quarter begins, all students are required
to complete the Quarterly Advising form
 All forms must have the Research Advisor’s OR
Graduate Advisor’s approval
 Bring to Vanda in Room 343 and she will register
you in the courses
 Check the status of your registration in GROWL
Quarterly Advising Form Sample
Communicating with the
Graduate Advisor
• The Graduate Advisor is a regular professor (just like
any other professor at the department) and most of time
he is busy with his research and teaching
• If you ONLY need a signature from the Graduate Advisor and
do not have any questions – JUST DROP the form in his mail
slot outside his office and pick it up next day at Vanda’s office
• If you have questions (general; academic; research; etc.) –
send an email or come to his office (Room 435) to talk. The
best time is between 11 am - noon or 3 pm – 4 pm.
• If you have a Research Advisor (PhD students; MS students
on thesis plan) IT IS SUFFICIENT to have your Research
Advisor signature on your Quarterly Advising Form.
EE Graduate Committee
•
Albert Wang (Computer Engineering)
You can see these
professors to talk
about specific area of
research
•
Jay Farrell (Controls and Robotics)
•
Yingbo Hua (Communications and Signal Processing)
•
Sakhrat Khizroev (Nano Materials, Devices and Circuits)
•
Ertem Tuncel (Intelligent Systems)
Nano- Materials, Devices,
and Circuits (NMDC)
Alexander Balandin
Graduate Advisor
Nanophononics
Nanoelectronics
Alexander Korotkov
Quantum Computing
Quantum Control
Jianlin Liu
Nanoelectronics
Optoelectonics
Mihri Ozkan
BioMEMS, Molecular
Electronics
Roger Lake, Chair
Nanoelectronics
Molecular
Electronics
Sakhrat Khizroev
Nano Magnetics
Electromagnetism
Spintronics
Ilya Lyubomirsky
Photonics
Optoelectronics
Controls and
Robotics (CR)
Matthew Barth
CE-CERT (Center for Environmental Research & Technology)
Intelligent transportation systems
Jie Chen
System identification, robust
adaptive control, nonlinear control
Jay Farrell
Learning control systems, autonomous
vehicles, intelligent transportation
systems, GPS control
Ping Liang
Image processing, Pattern recognition,
Distributed systems
Gerardo Beni
Swarm intelligence,
Financial engineering
Intelligent
Systems (IS)
Matthew Barth
Ce-CERT (Center for Environmental Research & Technology)
Intelligent transportation systems
Bir Bhanu
Director of C.R.I.S.
(Center for Research in Intelligent Systems)
Computer vision, Machine learning, Pattern
recognition
Amit Roy Chowdury
Computer vision, Image Processing,
Pattern Recognition
Ping Liang
Image processing, Pattern recognition,
Distributed systems
Communications &
Signal Processing (SPC)
Yingbo Hua
Wireless Communications
Theory
Ilya Dumer
Error Correcting Codes
Ertem Tuncel
Information Theory
Daniel Xu
Wireless Communications
Theory
Ilya Lyubomirsky
Photonics
Computer Engineering (CE)
Sheldon Tan
CAD, VLSI, Embedded Systems &
High-speed Networks
Afshin Abdollahi
Albert Wang
Quantum Computation, Logic
Synthesis & Verification, Low
Power Design, CAD
Methodologies
RF/Analog/Mixed-Signal
Integrated Circuits (IC), OnChip ESD Protection for ICs,
SoC (System-on-a-Chip), IC
CAD and Modeling
Cooperating Faculty
(from other departments)
Who can be your research advisor?
 Chemistry
• Ludwing Bartels
• Robert Haddon
Cooperating Faculty (cont.)

Computer Science & Engineering
• Laxminarayan Bhuyan
• Michalis Faloutsos
• Dimitrios Gunopolus
• Harry Hsieh
• Tao Jiang
• Srikanth Krishnamurthy
• Mart Mole
• Walid Najjar
• Frank Vahid
Cooperating Faculty (cont.)

Mechanical Engineering
• Guillermo Aguilar
• Qing Jiang
• Cengiz Ozkan
• Thomas Stahovich
• Sundararajan Venkatadriagaram
• Junlan Wang
Cooperating Faculty (cont.)
 Music
• Paulo Chagas
 Physics
• Harry Tom
 Statistics
• Ken-Shin Lii
Electrical Engineering Staff
(the most important people)
Bill Bingham
Department Manager
Vanda Yamaguchi
Graduate Assistant
Academic Program Assistant
Trudi Loder
Payroll, Purchasing
Electrical Engineering
Technical Staff
(even more important people)
Dan Giles
Lab Manager
Safety Coordinator
Steven Haughton
IT Support