Department of Electrical Engineering Graduate Student Fall 2007 Orientation Alexander Balandin Graduate Advisor
Jan 12, 2016
Department of Electrical Engineering
Graduate StudentFall 2007 Orientation
Alexander BalandinGraduate Advisor
Important Dates to Remember
Monday, September 17, 2007EE new graduate student mandatory orientation
Friday, September 21, 2007Graduate Division mandatory orientation
Monday-Wednesday, September 24, 25 & 26, 2007TADP workshop series
Thursday, September 27, 2007First 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 next-generation 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)
• Jay Farrell (Controls and Robotics)
• Yingbo Hua (Communications and Signal Processing)
• Sakhrat Khizroev (Nano Materials, Devices and Circuits)
• Ertem Tuncel (Intelligent Systems)
You can see these professors to talk
about specific area of research
Alexander BalandinGraduate AdvisorNanophononics Nanoelectronics
Alexander KorotkovQuantum Computing
Quantum Control
Mihri OzkanBioMEMS, Molecular
Electronics
Jianlin LiuNanoelectronicsOptoelectonics
Nano- Materials, Devices, and Circuits (NMDC)
Sakhrat KhizroevNano Magnetics
ElectromagnetismSpintronics
Roger Lake, ChairNanoelectronics
Molecular Electronics
Ilya LyubomirskyPhotonics
Optoelectronics
Gerardo BeniSwarm intelligence, Financial engineering
Jay FarrellLearning control systems, autonomous
vehicles, intelligent transportation systems, GPS control
Ping LiangImage processing, Pattern recognition,
Distributed systems
Controls andRobotics (CR)
Matthew BarthCE-CERT (Center for Environmental Research & Technology)
Intelligent transportation systems
Jie ChenSystem identification, robust
adaptive control, nonlinear control
Matthew BarthCe-CERT (Center for Environmental Research & Technology)
Intelligent transportation systems
Ping LiangImage processing, Pattern recognition,
Distributed systems
Bir BhanuDirector of C.R.I.S.
(Center for Research in Intelligent Systems)Computer vision, Machine learning, Pattern
recognition
Amit Roy ChowduryComputer vision, Image Processing,
Pattern Recognition
Intelligent Systems (IS)
Ilya DumerError Correcting Codes
Yingbo HuaWireless Communications
Theory
Daniel XuWireless Communications
Theory
Ertem TuncelInformation Theory
Ilya LyubomirskyPhotonics
Communications & Signal Processing (SPC)
Sheldon TanCAD, VLSI, Embedded Systems &
High-speed Networks
Afshin AbdollahiQuantum Computation, Logic Synthesis & Verification, Low
Power Design, CAD Methodologies
Computer Engineering (CE)
Albert WangRF/Analog/Mixed-Signal
Integrated Circuits (IC), On-Chip 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 BinghamDepartment Manager
Trudi Loder Payroll, Purchasing
Vanda YamaguchiGraduate Assistant
Academic Program Assistant
Electrical Engineering Technical Staff(even more important people)
Dan GilesLab Manager
Safety Coordinator
Steven HaughtonIT Support