DEPARTMENT OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCE

305 Engineering Tower; (949) 824-4821
Jean-Luc Gaudiot, Department Chair

Undergraduate Program

Graduate Program

Courses

Faculty

Nicolaos G. Alexopoulos: High-frequency integrated circuit antennas, wireless communication, materials

James Arvo: Computer graphics, intelligent user interfaces

Ender Ayanoglu: Communication systems, communication theory, communication networks

Mark Bachman: Micro-electro-mechanical systems (MEMS), BIOMEMS, and optoelectronics nonstandard chip processing, physics of small systems

Nader Bagherzadeh: Parallel processing, computer architecture, computer graphics, VLSI design

Neil J. Bershad (Emeritus): Communication and information theory, signal processing

Peter J. Burke: Quantum electronics, high-speed semiconductor technology

Pai Chou: Hardware/software co-design, embedded systems, component-based design, specification methodology, interface synthesis, real-time systems

Rui J. P. de Figueiredo: Machine intelligence and neural and soft computing; signal and image processing; applied mathematics

Franco De Flaviis: microwave systems, wireless communications and electromagnetic circuit simulations

Leonard A. Ferrarii (Emeritus): Machine vision, signal processing, computer graphics

Daniel D. Gajski: Parallel algorithms and architectures, design methodology, design science, CAD algorithms and tools, software/hardware co-design

Hideya Gamo (Emeritus): Quantum electronics, electromagnetics

Jean-Luc Gaudiot: Parallel processing, computer architecture, processor architecture

Michael M. Green: Analog/mixed-signal IC design, broadband circuit design, theory of nonlinear circuits

Glenn E. Healey: Machine vision, computer engineering, image processing, computer graphics, intelligent machines

Payam Heydari: Design and analysis of analog, RF, and mixed-signal integrated circuits; analysis of signal integrity and high-frequency effects of on-chip interconnects in high-speed VLSI circuits

Hamid Jafarkhani: Communication theory, coding, data compression

Stephen F. Jenks: Parallel and distributed processing, multithreading, embedded systems

Scott Jordan: Modeling and analysis of behavior, control, and pricing in computer/telecommunication networks

K. H. (Kane) Kim: Real-time object-based programming and system engineering, ultra-reliable distributed and parallel computing, real-time distributed simulation

Raymond O. Klefstad: Distributed object-oriented programming

Stuart Kleinfelder: First integrated sensor/readout arrays for visual, IR, X-ray, and charged particles

Falko Kuester: Virtual reality, computer graphics, large-scale data visualization and computer-aided geometric design

Fadi J. Kurdahi: VLSI system design, design automation of digital systems

Tomas Lang: Numerical processors and multiprocessors, parallel computer systems

Chin C. Lee: Electronic packaging, microwave devices and measurements, thermal management, integrated optics

Henry P. Lee: Optoelectronics semiconductor materials and devices

Guann Pyng Li: High-speed semiconductor technology, optoelectronic devices, integrated circuit fabrication and testing

Kwei-Jay Lin: Real-time systems, distributed systems, e-commerce

Jia Grace Lu: Nanoscale electronics, nanostructure materials

Joerg Meyer: Computer graphics, scientific visualization, large-scale rendering, biomedical imaging, virtual reality

Jonathan S. Min: Micro-digital communications, wireless communications

Mehran Moshfeghi: Image processing, distributed systems, Internet computing, medical imaging and information systems

Richard D. Nelson: Sensors, microelectronics, photonics, medical imaging, micro-electro-mechanical systems (MEMS)

Simon Penny: Technologies for embodied interaction, cultural applications of emerging technologies, multi-camera machine vision, emersive environments, robotics, and motion control

Roland Schinzinger (Emeritus): Electromagnetics, power systems, operations research

Phillip C-Y. Sheu: Database systems, interactive multimedia systems

Jack Sklansky (Emeritus): Digital radiology, pattern recognition, medical imaging, neural learning, computer engineering

Keyue M. Smedley: Power electronics and analog circuit design

Allen R. Stubberud: Control systems, digital signal processing, estimation and optimization

Harry H. Tan (Emeritus): Communication and information theory, stochastic processes

Chai Keong Toh: Wireless data communications networks, adhoc networks

Chen S. Tsai: Integrated and fiber optics, devices, and materials, integrated acoustooptics and magnetooptics, integrated microwave magnetics, Ultrasonic Atomization for Nanoparticles Synthesis

Wei Kang (Kevin) Tsai: Data communication networks, control systems

Homayoun Yousefi'zadeh: Communications networks

Affiliated Faculty

Lubomir Bic: Parallel processing, dataflow systems, database machines

Nikil D. Dutt: VLSI design automation tools, design methodologies, design languages, high-level synthesis

Magda S. El Zarki: Computer networking, telecommunications networks, wireless networking

Daniel Hirschberg: Analyses of algorithms, concrete complexity, data structures, models of computation

Sabee Molloi: Physics of medical imaging

Orhan Nalcioglu: Nuclear magnetic resonance imaging and spectroscopy, digital radiography, computed tomography, medical imaging

Alexandru Nicolau: Architecture, parallel computation, programming languages and compilers

Peter M. Rentzepis: Physical chemistry, picosecond spectroscopy

Issac Scherson: Parallel computing architectures, massively parallel systems, parallel algorithms, interconnection networks, performance evaluation

Carlton H. Scott: Operations research, production management, total quality management, statistics

Andrei M. Shkel: Design and advanced control of micro-electro-mechanical systems (MEMS)

Tatsuya Suda: Computer networks, distributed systems, performance evaluation

Lecturers

Syed Ahmed: Electric power systems

Harut Barsamian: Computer systems, architecture and technology

Maqsood Chaudhry: Field theory, numerical analysis, analog circuits

Alireza Kavianpour: Multi-processor systems

Bijan Lashgari: Linear systems

Frank Maddeleno: Power electronics and electromagnetic compatability

Simin Shoari: C/C++, real-time system programming

Hadar Ziv: C, C++, real-time system programming

Electrical and Computer Engineering is a broad field encompassing such diverse subject areas as computer systems, distributed computing, computer networks, control, electronics, photonics, digital systems, circuits (analog, digital, mixed-mode, and power electronics), communications, signal processing, electromagnetics, and physics of semiconductor devices. Knowledge of the mathematical and natural sciences is applied to the theory, design, and implementation of devices and systems for the benefit of society. The Department offers two ABET-accredited undergraduate degrees: Electrical Engineering and Computer Engineering. The Department also offers a joint undergraduate degree in Computer Science and Engineering, in conjunction with the School of Information and Computer Science.

Some electrical engineers focus on the study of electronic devices and circuits that are the basic building blocks of complex electronic systems. Others study power electronics and the generation, transmission, and utilization of electrical energy. A large group of electrical engineers studies the application of these complex systems to other areas, including medicine, biology, geology, and ecology. Still another group studies complex electronic systems such as automatic controls, telecommunications, wireless communications, and signal processing.

Computer engineers are trained in various fields of computer science and engineering. They engage in the design and analysis of digital computers and networks, including software and hardware. Computer design includes topics such as computer architecture, VLSI circuits, computer graphics, design automation, system software, data structures and algorithms, distributed computing, and computer networks. Computer Engineering courses include programming in high-level languages such as C++ and Java; use of software packages for analysis and design; design of system software such as compilers, debuggers, and operating systems; and application of computers in solving engineering problems. Laboratories in both hardware and software experiences are integrated within the Computer Engineering curriculum.

The undergraduate curricula in Electrical Engineering and Computer Engineering provide a solid foundation for future career growth, enabling graduates' careers to grow technically, administratively, or both. Many electrical and computer engineers will begin work in a large organizational environment as members of an engineering team, obtaining career satisfaction from solving meaningful problems that contribute to the success of the organization's overall goal. As their careers mature, technical growth most naturally results from the acquisition of an advanced degree and further development of the basic thought processes instilled in the undergraduate years. Administrative growth can result from the development of management skills on the job and/or through advanced degree programs in management.

Graduates of Electrical and Computer Engineering will find a variety of career opportunities in areas including wireless communication, voice and video coding, biomedical electronics, circuit design, optical devices and communication, semiconductor devices and fabrication, power systems, power electronics, computer hardware and software design, computer networks, design of computer-based control systems, application software, data storage and retrieval, computer graphics, pattern recognition, computer modeling, parallel computing, and operating systems.

Undergraduate Major in Computer Engineering

Program Objectives: (1) graduates of the program will be able to easily learn the specific computer hardware and software engineering practices of their chosen area of employment, and to easily keep up with technological developments in the field within the next 10 years after graduation; (2) graduates of the program will be able to consider the global societal and environmental impacts of computer engineering solutions in their profession; (3) graduates of the program will be able to conduct themselves in a professional manner in their employment by considering ethical and social responsibilities, by engaging in continuing professional development, and by working effectively with multidisciplinary groups; (4) graduates of the program will contribute widely to their profession and to public service; (5) graduates of the program will increase cultural diversity within the profession by promoting an inclusive workplace. (Program objectives are those aspects of engineering that help shape the curriculum; achievement of these objectives is a shared responsibility between the student and UCI.)

The undergraduate Computer Engineering curriculum includes a core of mathematics, physics, and chemistry. Engineering courses in fundamental areas fill in much of the remaining curriculum.

ADMISSIONS

High School Students: See pages 168-169.

Transfer Students. Preference will be given to junior-level applicants with the highest grades overall, and who have satisfactorily completed the following required courses: one year of calculus, one year of engineering physics (with laboratory), one course in computational methods (C, C++), and two additional approved courses for the major.

Students are encouraged to complete as many of the lower-division degree requirements as possible prior to transfer. Students who enroll at UCI in need of completing lower-division course work may find that it will take longer than two years to complete their degrees. For further information, contact The Henry Samueli School of Engineering at (949) 824-4334.

REQUIREMENTS FOR THE BACHELOR'S DEGREE IN COMPUTER ENGINEERING

University Requirements: See pages 54-59.

School Requirements: See page 169.

Major Requirements:

Mathematics and Basic Science Courses: Mathematics 2A-B, 2D, 2J, 3D, and 6A; Physics 7A-B-D-E, 7LA-LB-LD, 51A, 52A-B; Engineering ECE180 or Mathematics 114A.

Engineering Topics Courses: Students must complete a minimum of 26 units of engineering design.

Core Courses: Engineering ECE12, ECE20, ECE31, ECE31LB, ECE40, ECE70A, ECE70B, ECE70LB, ECE113A, ECE113LA, ECE113B, ECE113LB, ECE120A, ECE120B, ECE132, ECE132L, ECE142, ECE144, ECE145, ECE151, ECE186. With the approval of a faculty advisor, students select any additional engineering topics courses needed to satisfy school and department requirements.

Engineering Elective Courses: Students select, with the approval of a faculty advisor, a minimum of 15 units of engineering topics courses. At least three courses must be chosen from ECE104, ECE105, ECE106, ECE107, ECE137, ECE143, ECE146, ECE147, ECE148, ECE161, and Information and Computer Science 142. Additionally, ECE113D, ECE128, ECE135A, ECE135B, ECE136, ECE199 or ECEH199 (up to 3 units) are approved as technical electives.

At most an aggregate total of 6 units of 199 or H199 courses may be used to satisfy degree requirements; 199 and H199 courses are open to students with a 3.0 GPA or higher.

(The nominal Computer Engineering program will require 192 units of courses to satisfy all university and major requirements. Because each student comes to UCI with a different level of preparation, the actual number of units will vary.)

PLANNING A PROGRAM OF STUDY

The sample program of study chart shown is typical for the major in Computer Engineering. Students should keep in mind that this program is based upon a sequence of prerequisites, beginning with adequate preparation in high school mathematics, physics, and chemistry. Students who are not adequately prepared, or who wish to make changes in the sequence for other reasons, must have their program approved by their advisor. Computer Engineering majors must consult at least once every year with the academic counselors in the Student Affairs Office and with their faculty advisor.

Sample Program of Study -- Computer Engineering

Students must obtain approval for their program of study and must see their faculty advisor at least once each year.

Undergraduate Major in Computer Science and Engineering

The goal of the undergraduate major in Computer Science and Engineering is to provide students with an integrated background in both computer science and computer engineering. The program is designed to provide students with the fundamentals of hardware and software computer science and the application of engineering concepts, techniques, and methods to both computer systems engineering and software engineering. The program is administered jointly by the Department of Electrical Engineering and Computer Science and the School of Information and Computer Science.

ADMISSIONS

High School Students: See pages 168-169.

One semester of programming course work is also advised.

Transfer Students. Preference will be given to junior-level applicants with the highest grades overall, and who have satisfactorily completed the following required courses: one year of calculus, one year of engineering physics (with laboratory), one year of Java programming, and one additional approved course for the major.

Students are encouraged to complete as many of the lower-division degree requirements as possible prior to transfer. Students who enroll at UCI in need of completing lower-division course work may find that it will take longer than two years to complete their degrees. For further information, contact The Henry Samueli School of Engineering at (949) 824-4334.

REQUIREMENTS FOR THE BACHELOR'S DEGREE IN COMPUTER SCIENCE AND ENGINEERING

University Requirements: See pages 54-59.

Major Requirements:

Mathematics and Basic Science Courses:

Mathematics Courses: Students must complete a minimum of 32 units of mathematics including Mathematics 2A-B, 2D, 2J, 6A-B, 6C or 3A, and 67.

Basic Science Courses: Students must complete a minimum of 18 units of basic science courses including Physics 7A-B-D and 7LA-LB-LD.

Students select, with the approval of a faculty advisor, one additional basic science course needed to satisfy school and department requirements.

Engineering and Computer Topics Courses:

Students must complete a minimum of 72 units of engineering topics, which includes 24 units of engineering design, and a minimum of 60 units of computer topics, which includes 36 units of upper-division computer topics. The following courses must be completed:

CSE21, CSE22, CSE23, CSE25, CSE31, CSE31LB, CSE70A, CSE90, CSE104, CSE112, CSE120A, CSE121, CSE132, CSE135A, CSE135B, CSE141, CSE142, CSE151, CSE161, CSE181A-B-C, ICS 183 or ECE104, ECE161 or ICS 153.

Students select, with the approval of a faculty advisor, any additional engineering and computer topics courses needed to satisfy school and department requirements.

Tracks: Students must complete one of the tracks listed below.

Algorithms: Students complete ICS 163, ICS 164.

Artificial Intelligence: Students complete ICS 171 and one course from ICS 172, ICS 173, ICS 175A or 175B.

Embedded Systems: Students complete ICS 53, ICS 53L.

Parallel Computing: Students complete ECE137, ICS 158.

(The nominal Computer Science and Engineering program will require 190 units of courses to satisfy all university and department requirements. Because each student comes to UCI with a different level of preparation, the actual number of units will vary).

NOTE: Students majoring in Computer Science and Engineering may not complete the major in Computer Engineering or the major or minor in Information and Computer Science.

Sample Program of Study -- Computer Science and Engineering

Undergraduate Major in Electrical Engineering

Program Objectives: (1) provide the foundation for lifelong professional development; (2) provide a stimulating learning environment for individuals who will become leaders in science and technology; (3) provide research and design project experience which will prepare students for the professional practice of engineering; (4) encourage students to be involved in professional activities and public service.

The undergraduate Electrical Engineering curriculum is built around a basic core of humanities, mathematics, and natural and engineering science courses. It is arranged to provide the fundamentals of synthesis and design that will enable graduates to begin careers in industry or to go on to graduate study. UCI Electrical Engineering students take courses in network analysis, electronics, electronic system design, signal processing, control systems, electromagnetics, and computer engineering. They learn to design circuits and systems to meet specific needs and to use modern computers in problem analysis and solution.

Electrical Engineering majors have the opportunity to select a specialization in Electro-optics and Solid-State Devices; Power Systems; and Systems and Signal Processing. In addition to the courses offered by the Department, the major program includes selected courses from the School of Information and Computer Science.

ADMISSIONS

High School Students: See pages 168-169.

Transfer Students. Preference will be given to junior-level applicants with the highest grades overall, and who have satisfactorily completed the following required courses: one year of calculus, one year of engineering physics (with laboratory), one course in computational methods (C, C++), and two additional approved courses for the major.

Students are encouraged to complete as many of the lower-division degree requirements as possible prior to transfer. Students who enroll at UCI in need of completing lower-division course work may find that it will take longer than two years to complete their degrees. For further information, contact The Henry Samueli School of Engineering at (949) 824-4334.

REQUIREMENTS FOR THE BACHELOR'S DEGREE IN ELECTRICAL ENGINEERING

University Requirements: See pages 54-59.

School Requirements: See page 169.

Major Requirements:

Mathematics and Basic Science Courses: Mathematics 2A-B, 2D, 2J, 3D, and 2E; Chemistry 1A and 1LA; Physics 7A-B-D-E, 7LA-LB-LD, 51A-B, 52A-B-C; Engineering ECE180 or Mathematics 114A.

Engineering Topics Courses: Students must complete each of the following courses and accumulate a minimum of 26 units of engineering design, including at least one course with more than 50 percent design content: Engineering ENGR54 or ENGR80, ECE10, ECE31, ECE31LA, ECE70A, ECE70B and ECE70LB, ECE113A, ECE113LA, ECE113B, ECE113LB, ECE113C, ECE113LC, ECE113D (or ECE151), ECE120A, ECE120B, ECE140A, ECE140LA, ECE170, ECE189A-B, ECE186. Students select, with the approval of a faculty advisor, any additional engineering topics courses needed to satisfy school and department requirements.

Technical Elective Courses: Students select, with the approval of a faculty advisor, a minimum of 19 units of technical elective courses. Students may select an area of specialization and complete the associated requirements, as shown below.

At most an aggregate total of 6 units of 199 or H199 courses may be used to satisfy degree requirements; 199 and H199 courses are open to students with a 3.0 GPA or higher.

(The nominal Electrical Engineering program will require 196 units of courses to satisfy all university and major requirements. Because each student comes to UCI with a different level of preparation, the actual number of units will vary.)

Specialization in Electro-optics and Solid-State Devices: 11 units selected from Engineering ECE113D (if not used to satisfy major requirements), ECE114A, ECE114B, ECE115A-B, ECE176, ECE176L, ECE177, ECE177L, ECE178, ECE198 (Special Topics in Electro-optics or Solid State Materials/Devices), ECE199 or ECEH199 (up to 3 units).

Specialization in Power Electronics and Power Systems: 12 units selected from Engineering ECE140B, ECE160, ECE160L, ECE163, ECE163L, ECE166A, ECE166B, ECE199 or ECEH199 (up to 3 units).

Specialization in Systems and Signal Processing: 12 units selected from Engineering ECE128, ECE135A, ECE135B, ECE136, ECE140B, ECE163, ECE163L, ECE198 (Special Topics in Computer Graphics or Digital Signal Processing Laboratory), or ECE199 or ECEH199 (up to 3 units).

PROGRAM OF STUDY

The sample program of study chart shown is typical for the accredited major in Electrical Engineering. Students should keep in mind that this program is based upon a rigid set of prerequisites, beginning with adequate preparation in high school mathematics, physics, and chemistry. Therefore, the course sequence should not be changed except for the most compelling reasons. Students who are not adequately prepared, or who wish to make changes in the sequence for other reasons, must have their programs approved by their advisor. Electrical Engineering majors must consult with the academic counselors in the Student Affairs Office and with their faculty advisors at least once a year.

Sample Program of Study -- Electrical Engineering

Students must obtain approval for their program of study and must see their faculty advisor at least once each year.

Graduate Study in Electrical and Computer Engineering

The Department offers M.S. and Ph.D. degrees in Electrical and Computer Engineering with a concentration in Electrical Engineering, Computer Networks and Distributed Computing, Computer Systems and Software, or Computer Graphics and Visualization. Because most graduate courses are not repeated every quarter, students should make every effort to begin their graduate program in the fall.

Detailed descriptions of the four concentrations are as follows.

ELECTRICAL ENGINEERING CONCENTRATION (EE)

The Electrical Engineering faculty study the following areas: optical and solid-state devices, including quantum electronics and optics, integrated electro-optics and acoustics, design of semiconductor devices and materials, analog and mixed-signal IC design, microwave and microwave devices, and scanning acoustic microscopy; systems engineering and signal processing, including machine vision, signal processing, power electronics, neural networks, communications networks, systems engineering, and control systems.

COMPUTER GRAPHICS AND VISUALIZATION CONCENTRATION (CGV)

The concentration in Computer Graphics and Visualization provides students with a solid base in the design, development, and evaluation of scientific and information visualization systems. Both hardware and software aspects are addressed with a particular focus on the development of algorithms and techniques for the representation of complex scientific data. The main research activities of the faculty in this concentration are in the fields of computer graphics, scientific visualization, computer-aided geometric design, imaging, image processing, and virtual reality. Application areas include computational physics, computational chemistry, computational fluid dynamics, computational and molecular biology, medical and biomedical imaging, civil and environmental engineering, photorealistic rendering, animation, remote sensing, industrial design, and media and arts.

COMPUTER NETWORKS AND DISTRIBUTED COMPUTING CONCENTRATION (CNDC)

The concentration in Computer Networks and Distributed Computing is concerned with the design and evaluation of computer networks and distributed computer systems, and their integration into a comprehensive computing network. Both hardware and software aspects of these systems are covered. Specific topics include computer communication protocols; performance modeling and analysis of computer networks; computer network hardware; reliability, security, and fault tolerance in computer networks and distribution computer systems; distributed operating systems; distributed software architectures, distributed data bases, network-based parallel computing, and programming languages for parallel/distributed processing. Related topics are addressed within the Computer Systems and Networks concentration in the School of Information and Computer Science (ICS).

COMPUTER SYSTEMS AND SOFTWARE CONCENTRATION (CSS)

The Computer Systems and Software Concentration is concerned with the set of engineering principles which are used for design and construction of information-processing systems and software. The engineering design procedures are based on both the computational principles and theories discovered in the field of computer science and new highly integrated component devices made by electrical engineers. The main research activities of the faculty in this concentration are in the areas of fault-tolerant computing, parallel and distributed computer systems, ultra-reliable real-time computer systems, VLSI architectures, computer design automation, numerical processing, and intelligent management.

MASTER OF SCIENCE DEGREE GENERAL REQUIREMENTS

Two plans are offered for the M.S. degree: a thesis option and a comprehensive examination option. For either option, students are required to develop a complete program of study with advice from their faculty advisor. The graduate advisor must approve the study plan. Part-time study toward the M.S. degree is available. The program of study must be completed within four calendar years from first enrollment.

Plan I: Thesis Option

The thesis option requires completion of 36 units of study; an original research investigation; the completion of an M.S. thesis; and approval of the thesis by a thesis committee. The thesis committee is composed of three full-time faculty members with the faculty advisor of the student serving as the chair. Required undergraduate core courses and graduate seminar courses, such as ECE292, ECE293, ECE294, and ECE295, may not be counted toward the 36 units. No more than four units of ECE299 and three units of undergraduate electives may be counted toward the 36 units. Up to 12 of the required 36 units may be from ECE296 (M.S. Thesis Research) with the approval of the student's thesis advisor. Additional concentration-specific requirements are as follows; a list of core and concentration courses is given at the end of this section.

Electrical Engineering Concentration: At least seven core or concentration courses in the Electrical Engineering concentration (EE) must be completed.

Computer Networks and Distributed Computing Concentration: Four core courses in the Computer Networks and Distributed Computing concentration (CNDC) must be completed with a grade of B (3.0) or better. At least three additional core or concentration courses must also be completed.

Computer Systems and Software Concentration: Four core courses in the Computer Systems and Software concentration (CSS) must be completed with a grade of B (3.0) or better. At least three additional core or concentration courses must also be completed.

Computer Graphics and Visualization Concentration: Four core courses in the Computer Graphics and Visualization concentration (CGV) must be completed with a grade of B (3.0) or better. At least three additional core or concentration courses must also be completed.

Plan II: Comprehensive Examination Option

The comprehensive examination option requires the completion of 36 course units and a comprehensive examination. Undergraduate core courses and graduate seminar courses, such as ECE292, ECE293, ECE294, and ECE295, may not be counted toward the 36 units. No more than three units of ECE299 and six units of undergraduate electives may be counted. In fulfillment of the comprehensive examination element of the M.S. degree program, students will complete two term paper-length reports on the current state-of-the-art of two separate technical fields corresponding to the concentration area. The term papers are completed as part of the end-of-course requirements for ECE294 (Electrical and Computer Colloquium), two units of which are needed to fulfill degree requirements. Each term paper must be completed with a grade of B or better; and each Colloquium section used to meet M.S. degree requirements must be completed with a satisfactory grade. Both Colloquium sections must be completed at the student's first opportunity upon enrollment in the ECE graduate program. Additional concentration-specific requirements are as follows; a list of core and concentration courses is given at the end of this section.

Electrical Engineering Concentration: Four core courses in the Electrical Engineering concentration (EE) must be completed with a grade of B (3.0) or better. At least five additional core or concentration courses must also be completed.

Computer Networks and Distributed Computing Concentration: Four core courses in the Computer Networks and Distributed Computing concentration (CNDC) must be completed with a grade of B (3.0) or better. At least four additional core or concentration courses must also be completed.

Computer Systems and Software Concentration: Four core courses in the Computer Systems and Software concentration (CSS) must be completed with a grade of B (3.0) or better. At least four additional core or concentration courses must also be completed.

Computer Graphics and Visualization Concentration: Four core courses in the Computer Graphics and Visualization concentration (CGV) must be completed with a grade of B (3.0) or better. At least four additional core or concentration courses must also be completed.

List of Concentration Courses

(courses denoted with * are also core courses)

Electrical Engineering Concentration: ECE206, ECE207, ECE212, ECE213A*, ECE213B-C-D, ECE215A-B, ECE216, ECE217A-B-C, ECE219, ECE225, ECE226, ECE227A-B, ECE228A-B, ECE229A-B, ECE230A, ECE233, ECE234A-B, ECE235*, ECE237A-B, ECE240A*, ECE240B-C, ECE242, ECE247, ECE249, ECE251, ECE260, ECE263, ECE266A-B, ECE272, ECE275A*, ECE275B-C, ECE279A*, ECE279B, ECE281A-B, ECE287A*

Computer Networks and Distributed Computing Concentration: ECE229A*, ECE229B, ECE231*, ECE233*, ECE235*, ECE238, ECE251*, ECE252*, ECE253, ECE254, ECE255, ECE281B, ICS 243B-C-E

Computer Systems and Software Concentration: ECE207, ECE229A*, ECE231*, ECE233*, ECE235*, ECE238, ECE251*, ECE252*, ECE253, ECE254, ECE257, ECE258, ECE259

Computer Graphics and Visualization Concentration: ECE204*, ECE205, ECE206, ECE207, ECE208, ECE209A, ECE229A*, ECE230A, ECE231*, ECE233*, ECE234A, ECE234B, ECE235*, ECE 237A, ECE 237B, ECE252*, ICS 266, ICS 285

DOCTOR OF PHILOSOPHY DEGREE GENERAL REQUIREMENTS

The doctoral program in Electrical and Computer Engineering is tailored to the individual background and interest of the student. There are several milestones to pass: admission to the Ph.D. program by the Graduate Committee; Ph.D. preliminary examination on the background and potential for success in the doctoral program; departmental teaching requirement which can be satisfied through service as a teaching assistant or equivalent; original research work; development of a research report and dissertation proposal; advancement to Ph.D. candidacy through the Ph.D. qualifying examination conducted on behalf of the Irvine Division of the Academic Senate; completion of a significant research investigation; and completion and approval of a dissertation. A public Ph.D. dissertation defense may be required. During the Ph.D. study, four quarters of ECE294 must be completed.

The Ph.D. preliminary examination consists of two parts: a breadth requirement and a depth examination. Detailed requirements for each concentration are specified in the departmental Ph.D. preliminary examination policies, available from the ECE Graduate Admissions Office. The depth examination is conducted during each spring quarter. A student must pass the Ph.D. preliminary examination within two complete academic year cycles after entering the Ph.D. program. A student has only two chances to take and pass the Ph.D. preliminary examination. A student who fails the Ph.D. preliminary examination twice will be asked to withdraw from the program, or will be dismissed from the program, and may not be readmitted into the program.

The Ph.D. degree is granted upon the recommendation of the Doctoral Committee and the Dean of Graduate Studies. Part-time study toward the Ph.D. degree is not permitted. Students should be able to complete all requirements for the Ph.D. within 5-6 years from the date of admission. Doctoral programs must be completed within seven calendar years.