Presentation on theme: "Department of Electrical Engineering Graduate Student Fall 2007 Orientation Alexander Balandin Graduate Advisor."— Presentation transcript:
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 nSPEAK 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
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 n 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 nALL 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: nHazardous Waste Management training required for all students working in a wet lab nRadiation Safety Training required for all students working with microwaves, radioisotopes, antennas, or other electromagnetic emitting devices. Contact Dr. Russell Vernon at to sign up for this 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 Go to the EE web page: People - Faculty – check out their research when searching for an advisor - Staff (Vanda – Graduate Program Assistant) - Graduate Students Student information - Schedule of classes: - Graduate Course Descriptions: - GROWL to access your enrollment information: https://ucribm.ucr.edu/Paws/PAWS.html 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: WHEN SELECTING THE COURSES DO NOT FORGET ABOUT THE PRELIMINARY (WRITTEN) EXAM
Recommended Courses for Fall 07 Nano Materials, Devices and Circuits EE Applied Quantum Mechanics EE Stochastic Processes EE Applied Ferromagnetism EE Colloquium in Electrical Engineering
Control and Robotics EE Stochastic Processes EE Advanced Digital Signal Processing EE Colloquium in Electrical Engineering MATH 209 – Real Analysis
Intelligent Systems EE Stochastic Processes EE Advanced Digital Signal Processing EE Colloquium in Electrical Engineering EE Seminar in Electrical Engineering - Computational Aspects of Integrative Biology EE Directed Studies
Communications and Signal Processing EE Stochastic Processes EE Advanced Digital Signal Processing EE Colloquium in Electrical Engineering EE Directed Studies STAT 210 – Theoretical Statistics & Probability
Computer Engineering EE Applied Quantum Mechanics EE Advanced Digital Signal Processing EE Stochastic Processes EE Colloquium in Electrical Engineering
Enrolling in Courses n Before each quarter begins, all students are required to complete the Quarterly Advising form n All forms must have the Research Advisor’s OR Graduate Advisor’s approval n 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 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 Balandin Graduate Advisor Nanophononics Nanoelectronics Alexander Korotkov Quantum Computing Quantum Control Mihri Ozkan BioMEMS, Molecular Electronics Jianlin Liu Nanoelectronics Optoelectonics Nano- Materials, Devices, and Circuits (NMDC) Sakhrat Khizroev Nano Magnetics Electromagnetism Spintronics Roger Lake, Chair Nanoelectronics Molecular Electronics Ilya Lyubomirsky Photonics Optoelectronics
Gerardo Beni Swarm intelligence, Financial engineering Jay Farrell Learning control systems, autonomous vehicles, intelligent transportation systems, GPS control Ping Liang Image processing, Pattern recognition, Distributed systems 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
Matthew Barth Ce-CERT (Center for Environmental Research & Technology) Intelligent transportation systems Ping Liang Image processing, Pattern recognition, Distributed 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 Intelligent Systems (IS)
Ilya Dumer Error Correcting Codes Yingbo Hua Wireless Communications Theory Daniel Xu Wireless Communications Theory Ertem Tuncel Information Theory Ilya Lyubomirsky Photonics Communications & Signal Processing (SPC)
Sheldon Tan CAD, VLSI, Embedded Systems & High-speed Networks Afshin Abdollahi Quantum Computation, Logic Synthesis & Verification, Low Power Design, CAD Methodologies Computer Engineering (CE) Albert Wang RF/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 Bingham Department Manager Trudi Loder Payroll, Purchasing Vanda Yamaguchi Graduate Assistant Academic Program Assistant
Electrical Engineering Technical Staff (even more important people) Dan Giles Lab Manager Safety Coordinator Steven Haughton IT Support