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Department of Electrical Engineering Graduate Student Fall 2007 Orientation Alexander Balandin

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

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Department of Electrical Engineering Graduate Student Fall 2007 Orientation Alexander Balandin

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  1. Department of Electrical Engineering Graduate Student Fall 2007 Orientation Alexander Balandin Graduate Advisor

  2. 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

  3. 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

  4. 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

  5. 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 towww.tadp.ucr.edu/

  6. 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

  7. 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

  8. 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 russell.vernon@ucr.edu 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

  9. 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

  10. 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

  11. 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)

  12. 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

  13. 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.

  14. 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

  15. 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.

  16. 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.

  17. 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.

  18. 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

  19. 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

  20. Control and Robotics EE 215 - Stochastic Processes EE 210 - Advanced Digital Signal Processing EE 259 - Colloquium in Electrical Engineering MATH 209 – Real Analysis

  21. 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

  22. 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

  23. Computer Engineering EE 201 - Applied Quantum Mechanics EE 210 - Advanced Digital Signal Processing EE 215 - Stochastic Processes EE 259 - Colloquium in Electrical Engineering

  24. 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

  25. Quarterly Advising Form Sample

  26. 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.

  27. 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

  28. Roger Lake, Chair Nanoelectronics Molecular Electronics Ilya Lyubomirsky Photonics Optoelectronics Nano- Materials, Devices, and Circuits (NMDC) Alexander Balandin Graduate Advisor Nanophononics Nanoelectronics Mihri Ozkan BioMEMS, Molecular Electronics Alexander Korotkov Quantum Computing Quantum Control Sakhrat Khizroev Nano Magnetics Electromagnetism Spintronics Jianlin Liu Nanoelectronics Optoelectonics

  29. Controls and Robotics (CR) Ping Liang Image processing, Pattern recognition, Distributed systems Matthew Barth CE-CERT(Center for Environmental Research & Technology)Intelligent transportation systems Jay Farrell Learning control systems, autonomous vehicles, intelligent transportation systems, GPS control Gerardo Beni Swarm intelligence, Financial engineering Jie Chen System identification, robust adaptive control, nonlinear control

  30. Intelligent Systems (IS) Bir Bhanu Director of C.R.I.S. (Center for Research in Intelligent Systems) Computer vision, Machine learning, Pattern recognition Matthew Barth Ce-CERT(Center for Environmental Research & Technology)Intelligent transportation systems Amit Roy Chowdury Computer vision, Image Processing, Pattern Recognition Ping Liang Image processing, Pattern recognition, Distributed systems

  31. Ilya Dumer Error Correcting Codes Ilya Lyubomirsky Photonics Communications & Signal Processing (SPC) Yingbo Hua Wireless Communications Theory Ertem Tuncel Information Theory Daniel Xu Wireless Communications Theory

  32. Computer Engineering (CE) Sheldon Tan CAD, VLSI, Embedded Systems & High-speed Networks Afshin Abdollahi Quantum Computation, Logic Synthesis & Verification, Low Power Design, CAD Methodologies Albert Wang RF/Analog/Mixed-Signal Integrated Circuits (IC), On-Chip ESD Protection for ICs, SoC (System-on-a-Chip), IC CAD and Modeling

  33. Cooperating Faculty(from other departments) Who can be your research advisor?  Chemistry • Ludwing Bartels • Robert Haddon

  34. Cooperating Faculty (cont.)  Computer Science & Engineering • Laxminarayan Bhuyan • Michalis Faloutsos • Dimitrios Gunopolus • Harry Hsieh • Tao Jiang • Srikanth Krishnamurthy • Mart Mole • Walid Najjar • Frank Vahid

  35. Cooperating Faculty (cont.)  Mechanical Engineering • Guillermo Aguilar • Qing Jiang • Cengiz Ozkan • Thomas Stahovich • Sundararajan Venkatadriagaram • Junlan Wang

  36. Cooperating Faculty (cont.)  Music • Paulo Chagas  Physics • Harry Tom  Statistics • Ken-Shin Lii

  37. Bill Bingham Department Manager Electrical Engineering Staff(the most important people) Trudi Loder Payroll, Purchasing Vanda Yamaguchi Graduate Assistant Academic Program Assistant

  38. Steven Haughton IT Support Dan Giles Lab Manager Safety Coordinator Electrical Engineering Technical Staff(even more important people)

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