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Department of Electrical Engineering
Professor Emeritus: Dragoslav D. Siljak
The field of electrical engineering covers the design, construction, testing, and operation of electrical components, circuits, and systems. Electrical engineers work with information representation and transmission; advancing integrated circuit design for digital, analog, and mixed systems; new devices and architectures, energy systems and renewable energy; nanotechnology; and all the areas of information circuits and systems that have traditionally supported these efforts. This includes all phases of the digital or analog transmission of information, such as in mobile communications and networks, radio, television, telephone systems, fiber optics, and satellite communications, as well as control and robotics, electric power, information processing, and storage.
The Electrical Engineering Program is supported by the facilities of the University’s Academic Computing Center, as well as by the School of Engineering Design Center, which is described in the Facilities section of this bulletin. The department supports 10 major teaching and research laboratories, three additional laboratories used only for teaching, and a laboratory dedicated to the support of senior design projects. The three teaching laboratories cover the fields of electric circuits, electronic circuits, and logic design.
MASTER’S DEGREE PROGRAM AND REQUIREMENTS
The master’s degree will be granted to degree candidates who complete a program of studies approved by a faculty advisor. The degree does not require a thesis, but students may include a thesis in their program with up to nine units for their thesis work. The program must include no less than 45 units. In addition, a 3.0 GPA (B average) must be earned in all coursework taken at Santa Clara. Residence requirements of the University are met by completing 36 units of the graduate program at Santa Clara. A maximum of nine quarter units (six semester units) of graduate level coursework may be transferred from other accredited institutions at the discretion of the student’s advisor. All units applied toward the degree, including those transferred from other institutions, must be earned within a six-year period.
Students must develop a program of studies with an academic advisor and file the program during their first term of enrollment at Santa Clara. The program of studies must contain a minimum of 31 electrical engineering units and a minimum total of 45 units of graduate-level engineering courses. The number of engineering management courses accepted is restricted to four units.
The program of studies must include the following:
Additional graduate courses recommended and approved by the graduate program advisor. Up to 15 units of electives may be selected from the following upper-division undergraduate courses: 112, 118, 127, 130, 133, 160 (Systems); 116, 117, 152, 153, 156, 164 (Electronics); 105, 141, 144 (Communication and Microwave).
These M.S. degree requirements may be adjusted by the advisor based on the student’s previous graduate work. Alterations in the approved program, consistent with the above departmental requirements, may be requested at any time by a petition initiated by the student and approved by the advisor.
Students with relevant technical backgrounds may be admitted to the MSEE program without a BSEE from an accredited program. In order to guarantee prerequisites for graduate courses, those students must take sufficient additional courses beyond the 45-unit minimum to ensure coverage of all areas of the undergraduate EE core requirements. A student who has earned a Fundamentals of Electrical Engineering Certificate will have satisfied these background requirements.
Undergraduate Core Courses:
The advisor will determine which courses must be taken to meet these requirements. Undergraduate core courses will not be included in the 45 units required for the MSEE.
Please Note: In general, no credit will be allowed for courses that duplicate prior coursework, including courses listed above as degree requirements. (However, a graduate-level treatment of a topic is more advanced than an undergraduate course with a similar title.) Students should discuss any adjustments of these requirements with their academic advisor before they file their program of studies. In all cases, prerequisite requirements should be interpreted to mean the course specified or an equivalent course taken elsewhere.
ENGINEER’S DEGREE PROGRAM AND REQUIREMENTS
The program leading to the engineer’s degree is particularly designed for the education of the practicing engineer. The degree is granted on completion of an approved academic program and a record of acceptable technical achievement in the candidate’s field of engineering. The academic program consists of a minimum of 45 quarter units beyond the master’s degree. Courses are selected to advance competence in specific areas relating to the engineering professional’s work. Evidence of technical achievement must include a paper principally written by the candidate and accepted for publication by a recognized engineering journal prior to the granting of the degree. A letter from the journal accepting the paper must be submitted to the Office of the Dean, School of Engineering. In certain cases, the department may accept publication in the peer-reviewed proceedings of an appropriate national or international conference.
Electrical engineering courses at the introductory master of science level (e.g., ELEN 210, 211, 212, 230, 231, 236, 241, 250, 261; and AMTH 210, 211, 220, 221, 230, 231, 235, 236, 240, 245, 246) are not generally acceptable in an engineer’s degree program of studies. However, with the approval of the advisor, the student may include up to three of these courses in the engineer’s degree program. The department also requires that at least 15 units of the program of studies be in topics other than the student’s major field of concentration. Candidates admitted to the Electrical Engineering Program who have M.S. degrees in fields other than electrical engineering must include in their graduate programs (M.S. and engineer’s degree combined) a total of at least 45 units of graduate-level electrical engineering coursework.
PH.D. PROGRAM AND REQUIREMENTS
The doctor of philosophy (Ph.D.) degree is conferred by the School of Engineering primarily in recognition of competence in the subject field and the ability to investigate engineering problems independently, resulting in a new contribution to knowledge in the field. The work for the degree consists of engineering research, the preparation of a thesis based on that research, and a program of advanced studies in engineering, mathematics, and related physical sciences.
Students currently studying at Santa Clara University for a master’s degree who are accepted for the Ph.D. program and who are at an advanced stage of the M.S. program may, with the approval of their academic advisor, take the preliminary examination before completing the M.S. degree requirements. Students who have completed the M.S. degree requirements and have been accepted for the Ph.D. program should take the preliminary examination as soon as possible but not more than two years after beginning the program.
Only those students who pass the preliminary examination shall be allowed to continue in the doctoral program. The preliminary examination may be repeated only once, and then only at the discretion of the thesis advisor.
It is strongly recommended that Ph.D. students find a thesis advisor before taking the preliminary examination. After passing the preliminary examination, Ph.D. students should have a thesis advisor before the beginning of the next quarter following the preliminary examination. Students currently pursuing a master’s degree at the time of their preliminary examination should have a thesis advisor as soon as possible after being accepted as a Ph.D. student.
The student and the thesis advisor jointly develop a complete program of studies for research in a particular area. The complete program of studies (and any subsequent changes) must be filed with the Graduate Services Office and approved by the student’s doctoral committee. Until this approval is obtained, there is no guarantee that courses taken will be acceptable toward the Ph.D. course requirements.
Ph.D. students must undertake a minimum of four consecutive quarters of full-time study at the University; spring and fall quarters are considered consecutive. The residency time shall normally be any period between passing the preliminary examination and completion of the thesis. For this requirement, full-time study is interpreted as a minimum registration of 8 units per quarter during the academic year and 4 units during summer session. Any variation from this requirement must be approved by the doctoral committee.
Comprehensive Examinations and Admission to Candidacy
Thesis Research and Defense
Thesis and Publication
Time Limit for Completing Degree
Additional Graduation Requirements
Continuation for a Master’s Degree
ASIC Design and Test
This certificate program has a dual purpose: (a) to strengthen fundamental knowledge of the design process that helps the designer adapt to future innovations in technology; and (b) to introduce the designer to state-of-the-art tools and techniques. The program consists of the eight courses listed below. Any change in the requirements must be approved by the academic advisor.
Required Courses (16 units)
Analog Circuit Design
This certificate provides a background in the basic devices and circuits that are fundamental to analog circuit design. The program will also introduce the student to state-of-the-art analog IC design tools. The program consists of the courses listed below totaling 16 units.
Required Courses (14 units)
Elective Courses (2 units)
Digital Signal Processing Applications
This certificate program provides a basic understanding of digital signal processing theory and modern implementation methods as well as advanced knowledge of at least one specific application area. Digital signal processing has become an important part of many areas of engineering, and this certificate prepares students for traditional or novel applications.
Required Courses (10 to 12 units)
Elective Courses (4 to 6 units to make a total of 16 units) may be selected from the list below. Any courses from the required list above that were not selected to meet the requirements may be included in the elective options.
Digital Signal Processing Theory
This certificate program provides a firm grounding in fundamentals of digital signal processing (DSP) technology and its applications. It is appropriate for engineers involved with any application of DSP who want a better working knowledge of DSP theory and its applications. A novel feature of the program is a hands-on DSP hardware/software development laboratory course in which students design and build systems for various applications using contemporary DSP hardware and development software.
Required Courses (8 units)
Elective Courses (8 units)
Fundamentals of Electrical Engineering
This certificate has been designed for those individuals who have significant work
The required courses are selected with the help of the program advisor according to the student’s background.
Microwave and Antennas
The purpose of this certificate is to meet the increasing need for the knowledge in microwave, antenna and RF integrated circuits in present electronic products. This program is offered for students who have a B.S. in Electrical Engineering. The students are expected to have had knowledge of multivariate calculus and preferably partial differential equations.
The curriculum consists of 16 units: two required courses (4 units) and 12 units of elective courses listed below:
Substitutions for theses courses are only possible with the approval of the certificate advisor and the chair.
ELECTRICAL ENGINEERING LABORATORIES
The Electrical Engineering program is supported by a set of well-equipped laboratories. Some are dedicated solely for lower division courses such as circuits and electronics. In addition the department has a diversity of research and teaching laboratories listed next.
The ASIC Testing Laboratory supports research conducted by graduate students from the departments of Electrical Engineering and Computer Engineering. Computer-aided testing packages from industry and the public domain are used in projects such as fault modeling and analysis. Projects include design for test on RTL-level for digital and mixed signal circuits, and design for reliability based on the defect-based testing.
The Communications and Microwave Laboratory provides a full range of modern measurement capability from 0-22 GHz, including a number of automatic network analyzers and modern spectrum analyzers. It also has extensive computer-aided design and simulation capability, based largely on modern commercial software running on workstations. Interconnection of hardware measurements and computer simulation is stressed.
The Digital Systems Laboratory (operated jointly with the Department of Computer Engineering) provides complete facilities for experiments and projects ranging in complexity from a few digital integrated circuits to FPGA-based designs. The laboratory also includes a variety of development systems to support embedded systems and digital signal processing.
TheElectronic Devices Laboratory is dedicated to teaching and research topics on electronic devices, materials, and their manufacturing technologies. Current research topics include impact of process variations on the analysis and optimization of VLSI circuits, photovoltaic devices, and MOS device modeling, including quantum mechanical interface charge distribution effects.
The Intelligent Control Laboratory provides an experimental environment for students in the area of control and system engineering. It includes a computer-controlled robotic system, several servo-experimenters, and a torsional mechanical control system. The equipment provides students with a wide range of qualitative and quantitative experiments for learning the utility and versatility of feedback in computer-controlled systems.
The Latimer Energy Laboratory (LEL) supports a very wide range of activities relating to photovoltaics (PV), from K-12 outreach through graduate engineering. The laboratory focuses on measurement of solar radiation, measurement and characterization of artificial light sources, study of physical characteristics of PV cells, and electrical characteristics, including I-V curves. Instrumentation includes: pyranometers, VIS-IR spectrometers, metallurgical microscopes, source meters, and related computers.
The Nanoelectronics Laboratory provides teaching and research facilities for modeling, simulation, and characterization of devices and circuits in the nanoscale. Ongoing research topics include silicon heterostructures, thin dielectrics, high-frequency device and circuit parameter extraction, carbon nanostructures used as electrical interconnect and thermal interface materials, and compact modeling of transistors and interconnects for large-scale circuit simulation. This laboratory is part of the campus-wide Center for Nanostructures, established to conduct, promote, and nurture nanoscale science and technology interdisciplinary research and education activities at the University, and to position the University as a national center of innovation in nanoscience education and nanostructures research.
TheImage and Video Processing Laboratory supports graduate student research on algorithms and implementations for image analysis, image reconstruction and super-resolution, and stereo imaging. Laboratory equipment includes cameras for image acquisition, computational resources, and FPGAs for real-time testing..
TheRobotics Systems Laboratory is an interdisciplinary laboratory specializing in the design, control, and teleoperation of highly capable robotics systems for scientific discovery, technology validation, and engineering education. Laboratory students develop and operate systems that include spacecraft, underwater robots, aircraft, and land rovers. These projects serve as ideal test beds for learning and conducting research in mechatronic system design, guidance and navigation, command and control systems, and human-machine interfaces.
TheSignal Processing Research Laboratory (SPRL) conducts research into theoretical algorithm development in adaptive/nonlinear signal processing, speech/audio/video signal processing, and their applications in communications, biotech, Voice-over-IP networking, and related areas. The lab supports student research in algorithms and real-time implementations on Digital Signal Processors (DSPs) and Field Programmable Gate Arrays (FPGAs). Laboratory equipment includes UNIX workstations, PCs, digital oscilloscopes, video cameras, wireless LAN networking equipment, DSP boards, and FPGA boards.