_____ ENGR 131 ELEMENTARY COMPUTER PROGRAMMING - Requires knowledge of JAVA programming.
_____ ENGR 210 CIRCUITS AND INSTRUMENTATION - Requires knowledge of basic AC & DC circuits. Experience with oscilloscopes, signal generators, power supplies, and digital multimeters.
_____ EECS 233 INTRODUCTORY DATA STRUCTURES - Basic knowledge of JAVA and data structures.
_____ EECS 246 SIGNALS AND SYSTEMS - Requires basic knowledge of Laplace, Fourier and z-transforms. MATLAB programming experience would be very helpful.
_____ EECS 281 LOGIC DESIGN AND COMPUTER ORGANIZATION - Knowledge of basic digital logic. Small amount of assembly language programming required.
_____ EECS 301 DIGITAL LOGIC LABORATORY - Requires knowledge of basic digital logic circuits. Experience with oscilloscopes, signal generators, power supplies, and digital multimeters.
_____ EECS 304 CONTROL ENGINEERING I WITH LAB - Requires basic knowledge of Laplace and Fourier transforms, elementary control theory.
_____ EECS 305 CONTROL ENGINEERING LAB I - Requires fundamental knowledge of control theory and applications, computer hardware and software.
_____ EECS 309 ELECTROMAGNETIC FIELDS - Requires knowledge of basic electromagnetic fields.
_____ EECS 318 VLSI/CAD - Requires knowledge of VHDL and Verilog
_____ EECS 322/424 INTEGRATED CIRCUITS/ELECTRONIC DEVICES - Requires knowledge of semiconductor fabrication.
_____ EECS 337 SYSTEMS PROGRAMMING (to become COMPILER DESIGN) - Requires good knowledge of C/C++ programming and compiler design.
_____ EECS 340/405 ALGORITHMS AND DATA STRUCTURES - Knowledge of computer algorithms and data structures.
_____ EECS 351 COMMUNICATIONS AND SIGNAL ANALYSIS - Requires background in Fourier transforms. A person who has taken a communications course is preferred.
_____ EECS 352 ENGINEERING ECONOMICS AND DECISION ANALYSIS - Requires basic knowledge of engineering economics.
_____ EECS 355 RF COMMUNICATIONS - Requires background in Fourier transforms and statistics. A person who has taken a communications course is preferred.
_____ EECS 360 MANUFACTURING OPERATIONS AND AUTOMATED SYSTEMS - Requires basic knowledge of manufacturing systems. Industrial engineering course experience preferred.
_____ EECS 382 MICROPROCESSOR BASED DESIGN – Knowledge hardware (include. Microprocessors) and software design.
GRADUATE COURSES
_____ EECS 401 DIGITAL SIGNAL PROCESSING - Requires basic background in digital signal processing, digital filters, z-transforms, etc.
_____ EECS 416 OPTIMIZATION THEORY AND TECHNIQUES - Requires basic background in optimization and linear algebra.
_____ EECS 419 COMPUTER SYSTEM ARCHITECTURE - Requires background in digital logic and computer architecture.
_____ EECS 433 DATABASE SYSTEMS - Requires background in databases including experience with industrial databases such as Oracle.
_____ EECS 484 COMPUTATIONAL INTELLIGENCE I - Requires background in programming, neural networks, genetic algorithms, etc.
_____ EECS 491 INTELLIGENT SYSTEMS I - Requires background in expert systems.
REGISTRATION
Please complete all sections of the Course Selection Form. If you register past Late Registration you will be responsible for the $25 late fee. The late registration dates are located at http://www.case.edu/provost/registrar/calendar.htm . There is a $5 activity fee charged to all graduate students each semester.
DROP/ADD PROCEDURES
If you wish to change a course or drop one of your courses, you must do so during the drop/add period indicated on the academic calendar at: http://www.case.edu/provost/registrar/calendar.htm
WITHDRAWAL POLICY
Students who discontinue all studies for the semester (even if only enrolled in one course) must submit a withdrawal for the semester. Complete withdrawals will result in a “WD” grade on the student’s academic record. Tuition charges for the semester will be calculated as a percentage of the tuition rate based upon the number of weeks in session.
The official date of withdrawal is the date that the form is received in the University Registrar’s Office. Non-attendance does not constitute official notification of a student’s withdrawal. The university withdrawal dates are located at http://www.case.edu/provost/registrar/calendar.htm
PLANNED PROGRAM OF STUDY
Students are now required to submit official Planned Program of Study (PPOS) electronically into the Student Information System (SIS). For instructions, students should visit SIS Guides webpage at www.case.edu/projects/erp/learning/sisguides.html or contact your adviser. The PPOS must be submitted no later the end of the second semester of graduate study. It should list all coursework, research/project units, seminars, teaching requirements, ect. required to complete the degree program. Once the submission has been completed, the student’s adviser will be notified by email to review and approve/deny the PPOS. Final approval will then come from Graduate Studies.
TRANSFER OF CREDIT
Students may petition to transfer credit from another institution towards their degree at Case Western Reserve University by completing the Petition for Transfer of Credit Form. The Transfer of Credit Form now requires the department lists the CWRU equivalent to the proposed transfer course. An official transcript from the institution must accompany the form. Transfer credit of coursework must be requested in the student’s first academic year, and appropriate for the student’s PPOS. The coursework must be graduate level with a grade of B or better, and it must be in excess of the previous degree requirements. Master’s candidates can petition to transfer up to six semester hours of coursework. No transfer credit will be awarded towards the PhD degree except by approved petition and no dissertation research credit may be transferred from another university. All coursework must have been completed within five years of matriculation at Case Western Reserve University. The academic adviser and department chair are responsible for reviewing the course(s) and approving the transfer prior to final review and approval from Graduate Studies.
LEAVE OF ABSENCE
Students undertaking graduate work are expected to pursue their studies according to a systematic plan each year whether registered for full or part-time study.
Occasionally a student finds it necessary to interrupt his or her studies before completion of the graduate program. Under such circumstances the student must request in writing a leave of absence for a period not to exceed one calendar year. This request must be submitted to the dean of graduate studies with the written endorsement of the student's academic department. During a leave of absence the student must avail himself or herself of neither aid from faculty members nor use of the facilities of the university. A leave of absence does not extend the maximum time permitted for the completion of degree requirements. At the expiration of the leave the student must resume registration unless formally granted an extension. A student who fails to obtain a leave of absence, or who fails to register following an official leave, must petition the dean of graduate studies for reinstatement in order to resume work as a student in good standing at the university.
A doctoral student who is granted a maternity or paternity leave of absence related to infant care will receive an extension of the five-year time limit associated with completion of the doctorate. The length of the extension will correspond to the length of the leave.
International students must check with the Office of International Student Services before petitioning for a leave of absence, as such a leave can affect their visa status.
QUALITY-POINT AVERAGE REQUIREMENT
A minimum cumulative quality-point average of 3.0 in all courses taken for credit in a master's degree program (excluding those with the grade of S or P) is required for the award of the degree. A minimum cumulative quality-point average of 3.25 in all courses taken for credit as a graduate student at Case Western Reserve University (excluding those with the grade of S or P) is required for award of the doctoral degree.
REGULATIONS BY HIGHER AUTHORITY
Regulations by higher authority, not reproduced here, which all EECS graduate students must comply with, are the Academic Regulations of the School of Graduate Studies, which are applicable to all advanced degree students. For Ph.D. students in the School of Engineering, the Specific Requirements for the Ph.D. Degree of the Graduate Program in Engineering are also applicable. (See the current University Bulletin.)
TEXTBOOKS
You may purchase your textbooks from the CASE Bookstore located in Thwing Center on Euclid Avenue. You may call the bookstore directly with any specific questions about required texts and materials at (216) 368-6782.
STUDENT IDENTIFICATION CARDS
Student Identification Cards can be obtained from the Office of Access Services once you are a registered student. Access Services is located in the basement of Crawford Hall.
PERSONAL SAFETY PRECAUTIONS
CASE takes special precautions to assure that all students’ personal safety and security, especially during the evening hours. All parking lots in the vicinity of the School are patrolled by the University Circle police until midnight. Please call 368-3333 from any campus phone if you would like a personal escort to your car, bus, Rapid station or dormitory in the evening hours. Allow 15 minutes for the escort service to arrive at your building.
GRADUATE STUDENT SENATE
Students of the School of Graduate Studies are represented by the Graduate Student Senate (GSS) consisting of students elected from each department that offers graduate programs. The officers of the senate are elected by the graduate student senators, who also select graduate student representatives to the University Faculty Senate and various campus committees.
RESEARCH ACTIVITIES
The Department has a number of research thrusts, several of which fall under the important theme of “bio-micro/nano-info”. Electrical and Computer Engineering research thrusts include: (i) Micro/Nano systems; (ii) Electronics and Instrumentation; (iii) Embedded Systems; (iv) Robotics and Intelligent Systems; and (v) Systems Biology. The Computer Science research thrusts include: (i) Bioinformatics; (ii) Data Mining, Machine Learning, and Visualization; and (iii) Computer Networks and Distributed Systems; (ii) Software Engineering and Computer Security.
EECS participates in a number of groundbreaking collaborative research and educational programs, including Microelectromechanical Systems Research Program, The Center for Computational Genomics, Advanced Metrology And Nano-Device Applications, Dynamics of Adaptive Behavior Research Group, Neuromechanics - An Integrative Graduate Education and Research Training Program, and Global-Problematique Education Network Initiative.
FACILITIES
Computer Facilities
The department computer facilities incorporate both Unix (primarily Solaris) and Microsoft Windows-based operating systems on high end computing workstations for education and research. A number of file, printing, database, and authentication servers support these workstations, as well as the administrative functions of the department. Labs are primarily located in the Olin and Glennan buildings, as well as Nord hall, and are networked via the Case university network.
The Case university network is a state-of-the-art, high-speed fiber optic campus-wide computer network that interconnects laboratories, faculty and student offices, classrooms, and student residence halls. It is one of the largest fiber-to-desktop networks anywhere in the world. Every desktop has a 1 Gbps (gigabit per second) connection to a fault-tolerant 10 Gbps backbone. To complement the wired network, over 1,200 wireless access points (WAPs) are also deployed allowing anyone with a laptop or wireless enabled PDA to access resources from practically anywhere on campus.
Off campus users, through the use of virtual private network (VPN) servers, can use their home dial-up or broadband connections to access many on campus resources, as well as software, as if they were physically connected to the university network.
The department and the University also participate in the Internet2 project, which provides a high-speed, inter-University network infrastructure allowing for enhanced collaboration between institutions. The Internet2 infrastructure allows students, faculty and staff alike the ability to enjoy extremely high performance connections to other Internet2 member institutions.
Aside from services provided through a commodity Internet connection, Case university network users can take advantage of numerous on-line databases such as EUCLIDplus, the University Libraries’ circulation and public access catalog, as well as Lexus-Nexus™ and various CD-ROM based dictionaries, thesauri, encyclopedias, and research databases. Many regional and national institutional library catalogs are accessible over the network, as well.
Microfabrication Facilities
The Microfabrication Laboratory (MFL) is a state-of-the-art clean room facility for the fabrication of microelectromechanical systems (MEMS) and microelectronic devices. The Class 100 facility supports the University’s strong interdisciplinary MEMS/microsystems research program by providing on-campus fabrication capabilities for a broad range of research projects by investigators from a number of departments within the university; it is also accessible by external organizations for prototype fabrication and R&D. The MFL offers a broad spectrum of micromachining processes, including bulk and surface micromachining, wafer bonding, and micro-molding.
Sally & Larry Sears Undergraduate Design Laboratory
This laboratory supports all department circuits courses and includes a state-of-the-art lecture hall, a modernistic glass-encased lab, and a student lounge and meeting area. Specialized lab space is available for senior projects and sponsored undergraduate programs. In addition, there is also a “sandbox” area where students can “play and tinker” with technology and foster their innovation and creativity. The laboratory supports this mission by providing students access to wireless and wired PCs, oscilloscopes, signal generators, logic analyzers, and specialized equipment such as spectrum analyzers and r.f. signal generators. In addition, the lab includes full-time staff dedicated to the education, guidance and mentoring of undergraduates in the “art and practice” of hands-on engineering.
This is the central educational resource for students taking analog, digital, and mixed-signal electronics classes laboratory has been supported by Hewlett-Packard, Agilent, and Keithley corporations and alumnus Larry Sears, a successful engineer and entrepreneur. All instrumentation in the lab is computer-interfaced. Basic workstations consist of Windows based computers equipped with LabView software, as well as Hewlett-Packard 546xx oscilloscopes, 33120A Waveform Generators, 34401A Digital Multimeters, and E3631A power supplies. Advanced workstations are similarly configured with have additional hardware such as a Hewlett-Packard 4155B semiconductor parameter, Hewlett-Packard 54616TC mixed-signal test stations, Hewlett Packard logic analyzers, and Hewlett-Packard high-frequency oscilloscopes.
Jennings Computer Center Lab
Supported by an endowment from the Jennings Foundation, this lab provides our students with the educational resources necessary for their classwork and exploration of the art of computing. This lab has both PCs and Sun Unix workstations, and includes two high-speed laser printers.
ENGR 131 Freshman Computing Laboratory
This laboratory is used to support the freshman ENGR 131 Elementary Computer Programming class. Twenty-two student workstations are available for hands-on instruction, and support the study of introductory JAVA programming at the University.
Nord Computer Laboratory
This is a general purpose computer facility, open 24 hours a day, to all students.
The lab contains 50 PCs running Windows and four Apple Macintosh computers. Facilities for color printing, faxing, copying and scanning are provided. Special software includes PRO/Engineer, ChemCAD and Visual Studio. Blank CDs, floppy disks, transparencies and other supplies are available for purchase. Visit http://www.scl.cwru.edu for more information.
Virtual Worlds (Gaming and Simulation) Laboratory
The Virtual Worlds Gaming and Simulation Lab forms the basis for experiential work in existing game related courses such as Artificial Intelligence, Graphics, and Simulation and for new gaming/simulation courses. Multi-disciplinary senior projects also use the lab facilities. In addition, a large number of significant cross-disciplinary immersive learning opportunities are available with the Cleveland Institute of Art, the Case Music department, and the Case School of Medicine.
The Virtual Worlds laboratory includes a PC room, a Console room, an Immersion room, an Audio room, a Medical Simulation room, and a Virtual Reality room containing:
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24 networked high-performance Alienware gaming quality PCs
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Virtual reality components including three head mounted displays, three data gloves, a four sensor magnetic tracker, two inertial trackers, and three haptic interfaces
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Game consoles, e.g. PS2, Xbox, Gamecube, Nintendo DS, PSP
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Large screen 2-D and 3-D projection displays
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Audio and music synthesis and production equipment
Database and Bioinformatics Research Laboratory
Primarily funded by equipment grants from the National Science Foundation and Microsoft Research, this laboratory provides PC’s running Windows and Linux supporting research in database systems and bioinformatics.
Networks Laboratory
Supported through donations from both Cisco Systems and Microsoft Research, the networks lab has 15 stations complete with a PC, a Cisco switch and router, IP telephony equipment, as well as network patches back to a central rack where devices at one workstation may be routed to other equipment in the lab. A “library” of related equipment is also available.
Intelligent Networks & Systems Architecting (INSA) Research Laboratory
The Intelligent Networks & Systems Architecting (INSA) Research Laboratory is a state-of-the-art research facility dedicated to intelligent computer networks, systems engineering, design, and architecting. It includes optimization, simulation, artificial intelligent, visualization , and emulation. This lab has been partially supported by NASA’s Space Exploration programs for Human and Robotic Technology (H&RT). The INSA Lab is equipped with 10 high-performance workstations and 2 servers in a mixed Windows and Linux environment, with over 40 installed network interface cards providing connectivity to its wired and wireless research networks. It includes software packages such as GINO and LINDO , Arena simulation, ns2 and OPNET, as well as the STK satellite toolkit, artificial neural networks, systems architecting and modeling, and statistical analysis and data management packages such as SPSS. The INSA Lab is also used for research in heterogeneous, sensor web, and mobile ad-hoc networks with space and battlefield applications.
Software Engineering Laboratory
Primarily funded by grants from the National Science Foundation, this laboratory provides PC’s running Windows and Linux supporting research in software engineering, in software analysis, testing, and reliability engineering, and in software security.
VLSI Design Laboratory
This lab has been supported by the Semiconductor Research Corporation, NSF, NASA, Synopsys and Sun Microsystems. This laboratory has a number of advanced UNIX workstations that run commercial CAD software tools for VLSI design and is currently used to develop design and testing techniques for embedded system-on-chip.
NEW SYNOPSYS/HP DESIGN LAB
Embedded Systems Laboratory
The Embedded Systems Laboratory is equipped with several Sun Blade Workstations running Solaris and Intel PCs running Linux. This lab has been recently equipped with advanced FPGA Virtex II prototype boards from Xilinx, including about 100 Xilinx Virtex II FPGAs and Xilinx CAD tools for development work. A grant-in-aid from Synopsys has provided the Synopsys commercial CAD tools for software development and simulation. This Lab is also equipped with NIOS FPGA boards from Altera, including software tools.
Mixed-Signal Integrated Circuit Laboratory
This research laboratory includes a cluster of Windows workstations and UNIX server with integrated circuit design software (Cadence Custom IC Bundle), as well as a variety of equipment used in the characterization of mixed-signal (analog and digital) integrated circuits, which are typically fabricated using the MOSIS foundry service. Test equipment includes an IC probe station, surface-mount soldering equipment, logic and network/spectrum analyzers, an assortment of digital oscilloscopes with sample rates up to 1 GHz, and a variety of function generators, multi-meters, and power supplies.
Wireless Microsystem Lab
This research laboratory focuses on developing key technologies, such as micromachined sensors, actuators, and low-power and low-noise integrated sensing and communication circuits, to implement advanced high-performance wireless microsystems for biomedical, communication, and general industrial applications. The laboratory is equipped with PCs, various computer simulation software (Hspice, 3D Maxwell, and Intellisense), high temperature annealing furnace, laser Doppler vibrometer, and various electronic measurement equipment including high frequency spectrum analyzer, network analyzer, impedance analyzer, RF signal generator, multi-channel digital oscilloscopes, probe station with microwave capabilities.
Microelectromechanical Systems (MEMS) Research Laboratory
The MEMS Research Laboratory is equipped for microfabrication processes that do not require a clean room environment. These include chemical-mechanical polishing (two systems), bulk silicon etching, aqueous chemical release of free standing micromechanical components, and supercritical point drying. In addition to the fabrication capabilities, the lab is also well equipped for testing and evaluation of MEMS components as it houses wafer-scale probe stations, a vacuum probe station, a multipurpose vacuum chamber, and an interferometric load-deflection station. Two large (8 x 2 ft2) vibration isolated air tables are available for custom testing setups. The laboratory has a wide variety of electronic testing instruments, including a complete IV-CV testing setup.
Advanced Metrology and Nano-Device Applications (Amanda) http://www.eecs.cwru.edu/misc/AMANDA/Research/research.html
AMANDA is equipped with state-of-the-art atomic force microscopy (AFM) systems capable of imaging topography and electromagnetic properties of materials and devices at the nanometer-scale. These nano-metrology tools are unique and enable imaging embedded nanostructures with unprecedented resolution over a wide range of frequencies, covering up to 100 GHz. In support of these imaging systems, AMANDA has microwave engineering tools including automated network analyzers, sources and detectors and microwave design simulation capabilities. Optical measurements and spectroscopy, as well as a whole gamut of dc and ac characterization systems enable AMANDA group to measure device characteristics including photoconductivity, S-parameters, magnetoresistivity, capacitance, conductance, and breakdown and leakage behavior as a function of temperature, field strength and frequency. Equipped with probe stations, and microscopes with on-line CCDs, AMANDA is capable of recording and imaging microfluidic, dielectrophoretic, osmotic processes and MEMS devices in real-time and under different operating conditions. AMANDA is also equipped with a CVD reactor to grow carbon nano-tubes and solid-electrolytes on semiconductors, dielectrics and metals. A metal deposition and sputtering facility, and simple processing stations enable rapid prototyping of large-scale devices followed by their characterization in a very efficient manner.
BioMicroSystems Laboratory
This research laboratory focuses on developing wireless integrated circuits and microsystems for a variety of applications in biomedical and neural engineering. The laboratory contains several PC computers, software packages for design, simulation, and layout of high-performance, low-noise, analog/mixed-signal/RF circuits and systems, and testing/measurement equipment such as dc power supply, arbitrary function generator, multichannel mixed-signal oscilloscope, data acquisition hardware, spectrum analyzer, potentiostat, and current source meter.
Emerging Materials Development and Evaluation Laboratory
The EMDE Laboratory is equipped with tooling useful in characterizing materials for MEMS applications. The laboratory contains a PC-based apparatus for load-deflection and burst testing of micromachined membranes, a custom-built test chamber for evaluation and reliability testing of MEMS-based pressure transducers and other membrane-based devices, a probe station for electrical characterization of micro-devices, a fume hood configured for wet chemical etching of Si, polymers, and a wide variety of metals, tooling for electroplating, an optical reflectometer, and a supercritical-point dryer for release of surface micromachined devices. The lab also has a PC with layout and finite element modeling software for device design, fabrication process design and analysis of testing data.
Lester J. Kern Computational Laboratory
This laboratory is used by students enrolled in “Electromechanical Energy Conversion,” as well as for research in robotics and mechatronics. Laboratory facilities include: four lab stations for demonstrating machine characteristics and basic steady-state and dynamic system performance, four PC based QNX workstations, and real-time data acquisition systems for interaction with lab experiments and control of machines.
Process Control Laboratory
This laboratory contains process control pilot plants, computerized hardware for process control, and demonstration/research facilities. This laboratory also has access to steam and compressed air for use in the pilot plants.
Timken Foundation Dynamics and Control Laboratory
Contains mechanical, pneumatic, and electrical laboratory experiments for teaching and research purposes. This includes PLCs, motors, and robotics systems.
Rockwell Automation Machinery Diagnostics and Control Laboratory
This laboratory is focused upon machinery diagnostics and failure prediction. Several test stands will provide instrumentation for machinery lifetime prediction and sensor development. Additional instrumentation will provide for remote operation of the test stands.
ECE (ELECTRICAL AND COMPUTER ENGR) DEGREE PROGRAMS
Electrical and Computer Engineering M.S. Program
Revised Fall 2005
Admission
Graduate students shall be admitted upon recommendation of the faculty of the Department. The normal requirements are a strong record of scholarship in a completed bachelor's degree program in any of the engineering, mathematical or physical sciences, and fluency in written and spoken English. The University requires all foreign applicants to show English proficiency such as achieving a TOEFL score of at least 550 paper based, 213 in computer-based, or 79 internet based. It is required that all students requesting financial aid submit original copies of GRE scores. It is recommended that all applicants submit GRE scores. Applicants from students with a bachelor's degree in other fields may also be considered for admission generally on a provisional basis. Such provisional students may be advanced to full standing upon completion of prerequisite conditions stipulated in the letter of admission.
Registration
Before registration in each semester, graduate students are expected to update personal and academic information in their graduate student file. This is done by completing an information sheet which is available either on-line or at the EECS Office of Student Affairs. Registration is now done on-line by logging onto the SIS. Students must have holds lifted before completing the registration process. This is done by contacting you adviser listed on your SIS homepage.
Faculty Advisor and Thesis Committee
Upon arrival, each graduate student is assigned a faculty academic advisor to assist in planning his/her program of study. This is a temporary assignment made by the Department Chairperson based on the student's academic and research interests as identified at the time of application. It is suggested that each student meet with faculty in the Department to discuss academic and research objectives and goals. The student must then identify a faculty member who is willing to serve as the student's permanent academic advisor.
The student shall be responsible for forming a thesis guidance committee which shall consist of the student's academic advisor and additional faculty members recommended by the advisor. For an M.S. program, the minimum number of additional faculty members on the thesis guidance committee is two, and at least two members of the committee must be within the EECS department. The chairperson of the guidance committee is normally the candidate's research advisor. Each student is required to file a Program of Study, which must be approved by the student's advisor and the Department Chairperson, and submitted to the Dean of Graduate Studies. Full-time M.S. students should file a Program of Study before the beginning of the second semester.
The M.S. Degree Program
Each M.S. student must complete their approved Program of Study with a cumulative grade point average of 3.0 or greater. In addition, the Program of Study for an M.S. student must have at least 27 semester hours of classes, with no more than 3 credit-hours of courses at the 300-level. No course under 300-level can be taken for credit toward the Program of Study.
To defend his/her MS thesis, the candidate shall provide an abstract and an announcement to the EECS Office of Student Affairs for general announcement at least 10 days in advance.
The student shall be responsible for forming a thesis or dissertation guidance committee which shall consist of the student's academic advisor and additional faculty members recommended by the advisor. For an M.S. program (Plan A and Plan B), the minimum number of additional faculty members on the thesis guidance committee is two, and at least two members of the committee must be within the EECS department. The chairperson of the guidance committee is normally the candidate's research advisor. Each student is required to file a Program of Study, which must be approved by the student's advisor and the Department Chairperson, and submitted to the Dean of Graduate Studies. Full-time M.S. students should file a Program of Study before the beginning of the second semester.
Graduate Studies:
Each candidate for the master’s degree under Plan B must pass satisfactorily a comprehensive examination to be administered by the department or curricular program committee. The examination may be written or oral or both. A student must be registered during the semester in which any part of the comprehensive examination is taken. If not registered for other courses, the student will be required to register for one semester hour of EXAM 600, Comprehensive Examination, before taking the examination.
In addition, MS and BS/MS students must register for and pass at least two semesters of EECS500 (EECS Colloquium).
(1) The determination of what constitutes a thesis as opposed to a project is determined by the student's advisor. This is indicated by the advisor's approval of the student's plan of study. It is imperative that the student obtain a clear understanding at the beginning of the thesis as to the expectation of the advisor.
(2) The determination of when a thesis is complete is done by the student's advisor. It is expected that the student's advisor will provide reasonable feedback to the student about his/her progress toward the completion of the thesis.
A good estimate (this is not a rule) is that if you have reached the point where you can publish a paper then you have probably completed the requirements for a MS thesis. However, note that some theses do not result in a publication whereas several EECS students have published 5-7 papers on their MS thesis work.
Your program of study is simply an estimate of when your course work and research MIGHT be completed. Even with a theoretical or software thesis a research breakthrough cannot be scheduled for a particular time and the time to successfully complete the research may be considerably longer than originally anticipated. This is especially true with experimental theses where the research might be dependent upon such factors as requiring a particular piece of equipment to work or the length of time needed to have an integrated circuit fabricated.
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Students may change advisors for a variety of reasons of which the most common is a change of the student's field of interest. However, it is expected that when the student changes advisor he/she will be starting a new research project. Only in exceptional cases such as a faculty member leaving the university or in the case of joint advisors might a student switch advisors and continue on the same thesis topic. Another faculty member taking over another faculty member's research might constitute a violation of professional ethics.
All students who change advisor are required to inform the EECS Office of Student Affairs of this change.
All students who change degree programs, q.v., electrical engineering to computer again must fill out a change of department form so Graduate Studies can be made aware of these changes.
Electrical and Computer Engineering Ph.D. Program
revised Fall 2005
These regulations are in addition to the Academics Regulations of the School of Graduate Studies and the Specific Requirements for the Ph.D. Degree of the Graduate Program in the Case School of Engineering as found in the General Catalog of Case Western Reserve University.
Admission
Graduate students shall be admitted upon recommendation of the faculty of the Department. The normal requirements are a strong record of scholarship in a completed bachelor's degree program in any of the engineering, mathematical or physical sciences, and fluency in written and spoken English. The University requires all foreign applicants to show English proficiency such as achieving a TOEFL score of at least 550 (or 213 in computer-based tests). It is required that all students requesting financial aid submit original copies of GRE scores. It is recommended that all applicants submit GRE scores. Applicants from students with a bachelor's degree in other fields may also be considered for admission generally on a provisional basis. Such provisional students may be advanced to full standing upon completion of prerequisite conditions stipulated in the letter of admission.
Registration
Before registration in each semester, graduate students are expected to update personal and academic information in their graduate student file. This is done by completing an information sheet which is available either on-line or at the EECS Office of Student Affairs. Registration is now done on-line by logging onto the SIS. Students must have holds lifted before completing the registration process. This is done by contacting you adviser listed on your SIS homepage.
Faculty Advisor and Thesis Committee
Upon arrival, each graduate student is assigned a faculty academic advisor to assist in planning his/her program of study. This is a temporary assignment made by the Department Chairperson based on the student's academic and research interests as identified at the time of application. It is suggested that each student meet with faculty in the Department to discuss academic and research objectives and goals. The student must then identify a faculty member who is willing to serve as the student's permanent academic advisor.
The student shall be responsible for forming a thesis or dissertation guidance committee which shall consist of the student's academic advisor and additional faculty members recommended by the advisor. For an M.S. program, the minimum number of additional faculty members on the thesis guidance committee is two, and at least two members of the committee must be within the EECS department. For a Ph.D. program, the minimum number of additional faculty members on the dissertation guidance committee is three, and at least two of the committee must be within the ECE program areas (Computer Engineering, Electrical Engineering, and Systems and Control Engineering). The chairperson of the guidance committee is normally the candidate's research advisor. Each student is required to file a Program of Study, which must be approved by the student's advisor and the Department Chairperson, and submitted to the Dean of Graduate Studies. Full-time M.S. students should file a Program of Study before the beginning of the second semester and full-time Ph.D. students should choose a research advisor and file a Program of Study before taking the qualifier but no later than the beginning of the third semester. Upon passing the qualifier, full time Ph.D. students will be required to assemble the dissertation guidance committee, prepare a dissertation proposal, and present this proposal to the committee for their approval. This process should be completed within one semester of passing the Ph.D. qualifier.
The Ph.D. Degree Program
In order to successfully complete the Ph.D. Degree Program, a student must satisfy the following requirements:
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Select a major dissertation subject area in Electrical Engineering, Computer Engineering, or Systems and Control Engineering
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Fulfill all Ph.D. course requirements in the chosen major area
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Have an approved Program of Study and complete the CWRU courses in the approved Program of Study with a cumulative grade point average of 3.25 or greater
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Successfully complete the Ph.D. Qualifying Examination
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Successfully complete the Ph.D. Proposal Defense
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Successfully complete and defend the Ph.D. Dissertation
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Fulfill the Ph.D. residency requirement
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Ph.D. Course Requirements and Program of Study
Each Ph.D. student is required to have a minimum of 36 hours of coursework taken for credit beyond the B.S. level. At least 18 hours must be taken at CWRU. In addition, the student is also required to have a minimum of 18 hours of EECS 701 to fulfill the requirement for research. Acceptable courses include suitable CWRU courses at the 400 level or higher and approved graduate-level courses taken at other institutions. No more than one 300 level course is allowed.
Each Ph.D. student is required to have a Program of Study filed, approved and submitted to the School of Graduate Studies before taking the Ph.D. Qualifying examination and before registering for the last 18 credit hours of the program. The Program of Study shall be prepared and approved by the student's research advisor or the student's academic advisor in case where the student's research advisor is not in the Department. The Ph.D.
Program of Study must meet the following requirements:
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A minimum of two courses in mathematics, statistics, or basic science. Equivalent courses that focus strongly on fundamental concepts and principles of mathematics, statistics and natural sciences may be approved by the ECE Graduate Studies and Admissions committee for use in this category.
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At least six approved courses from the student's major area of study. At least 4 of these courses must be EECS.
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Four additional courses that are not listed under the student's major program area. These courses should satisfy the requirement for breadth in the student's program of study.
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A minimum of 18 hours of Ph.D. Dissertation research EECS 701
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Departmental 400T, 500T and 600T courses must be included.
The above represents the minimum course requirements beyond the B.S. degree. The total number of 3-hr courses in the Program of Study is at least 12 (twelve) beyond the B.S. level. The selection of these courses should be done with the guidance from the student's faculty academic advisor. Any additional courses may be in any one of the above categories as approved by the student's advisor.
In addition, Ph.D. students must register and pass at least five semesters of EECS500 (EECS Colloquium).
Ph.D. Qualifying Examination
A student shall be admitted to Ph.D. candidacy only after he or she has passed the Ph.D. Qualifying Examination. The Qualifying Exam is intended to test the students' knowledge in the student's chosen major program area: Electrical Engineering, Computer Engineering, or Systems and Control Engineering. The objectives of the exam are:
To assess the Ph.D. student's understanding of the fundamental concepts in Electrical Engineering, Computer Engineering, or Systems and Control Engineering, as embodied in the respective graduate curriculum
To ensure that the student have the ability to pursue Ph.D. level research, and have mastered the graduate level coursework necessary to succeed as researchers
Full-time Ph.D. students are recommended to take the Ph.D. qualifier before the beginning of their third semester of full-time (equivalent) enrollment, and must pass the exam within two years of being admitted to the program. For part-time students, the Qualifying Exam must be passed before more than 27 credit-hours of coursework have been completed. For students who must take remedial courses to make up for shortcomings in their engineering and mathematics knowledge base, the deadline can be extended to the fifth semester of full-time (equivalent) enrollment, but this requires a petition to the ECE Graduate Committee. Students have two opportunities to pass the Ph.D. Qualifier. A student who fails to pass the Qualifier after two attempts will not be allowed to continue in the Ph.D. program in the Department of Electrical Engineering and Computer Science.
To pass the Ph.D. Qualifier, the student must demonstrate proficiency in two parts:
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