( ) Year of initial appointment at Binghamton
Abu-Ghazaleh, Nael, Assistant Professor, Computer Science Department, PhD, 1997, University of Cincinnati: Parallel computer architectures. (1998)
Armstrong, William D., Assistant Professor, Mechanical Engineering Department, PhD, 1991, University of Washington: Materials processing, mechanics of non-linear shape active homogenous and composite materials, non-linear visoelectric modeling methods. (1999)
Bergman, Craig, Lecturer, Electrical Engineering Department, MS, 1975, University of Illinois: Human factors, digital design, microprocessors. (1985)
Bourbakis, Nikolaos, Professor, Electrical Engineering Department, PhD, 1983, University of Patras: Artificial intelligence, machine vision, robotics, knowledge-based VLSI design. (1991)
Cardullo, Frank, Associate Professor, Mechanical Engineering Department, MS, 1972, State University of New York at Binghamton: Vehicle simulation, vehicle dynamics, man-machine systems. (1980)
Chatterjee, Monish, Associate Professor, Electrical Engineering Department, PhD, 1985, University of Iowa: Non-linear wave phenomena, non-linear modeling, quantum electronics, acousto-optics, fiber optics and optical communications. (1986)
Constable, James H., Professor, Electrical Engineering Department, Registered Professional Engineer, PhD, 1969, Ohio State University: Instrumentation, contact resistance, electrical noise, electronics packaging. (1974)
Culver, Richard, Professor, Mechanical Engineering Department, and Director, Division of Engineering Design, Registered Professional Engineer, PhD, 1964, Cambridge University: Dynamic instabilities in metal deformation, engineering education. (1984)
Cutler, Michal, Associate Professor, Computer Science Department, PhD, 1979, Weizmann Institute, Israel: Parallel computation, design of algorithms, design automation, information retrieval, expert systems. (1983)
Delgado-Frias, José, Associate Professor, Electrical Engineering Department, PhD, 1986, Texas A&M University: Computer engineering, VLSI/WSI design, parallel computer architectures. (1989)
Eckert, Richard, Associate Professor, Computer Science Department, PhD, 1971, University of Kansas: Computer science education, computer graphics, computer architecture, microprocessor-based systems. (1983)
Emerson, C. Robert, Professor and Chair, Systems Science and Industrial Engineering Department, PhD, 1970, Purdue University: Integrated manufacturing, quality assurance, decision support systems. (1986)
Enke, David, Assistant Professor, Systems Science and Industrial Engineering Department, PhD, 1997, University of Missouri-Rolla: Neural networks, artificial vision, optimization, applied statistics, decision support systems, cognitive modeling. (1999)
Feisel, Lyle, Professor, Electrical Engineering Department, and Dean, PhD, 1964, Iowa State University: Physical electronics, thin films, semiconductors, continuing education. (1983)
Fellows, Sharon, Lecturer, Division of Engineering Design, MA, 1986, Goddard College, MS, 1983, University of Maine: Rhetoric, teaching, and writing curriculum development. (1995)
Fillo, John, Professor, Mechanical Engineering Department, Associate Dean for Research and External Affairs, PhD, 1965, Syracuse University: Thermal fluid analysis, mathematical modeling, heat transfer in electronics, advanced technology. (1984)
Fowler, Mark L., Assistant Professor, Electrical Engineering Department, PhD, 1991, Pennsylvania State University: Digital signal processing, video compression, data compression for remote sensing, signal detection for dense environments, single-platform emitter location, wavelet transform theory and applications. (1999)
Foreman, Dennis, Lecturer, Computer Science Department, MS, 1973, State University of New York at Binghamton: Design and development of operating systems and computers. (1994)
Gause, Donald C., Professor Emeritus and Bartle Professor, Systems Science and Industrial Engineering Department, MS, 1957, Michigan State University: Generic design processes, user-oriented systems design, problem resolution processes, adaptive programming. (1967)
Geer, James F., Professor Emeritus and Bartle Professor, Mechanical Engineering Department and Harpur College Mathematical Sciences Department, PhD, 1967, New York University: Non-linear boundary-value problems, perturbation methods, symbolic computation. (1969)
Ghose, Kanad, Associate Professor and Acting Chair, Computer Science Department, PhD, 1988, Iowa State University: Parallel processing, computer architecture, VLSI architectures, distributed systems, operating systems. (1987)
Goel, Narendra S., Professor Emeritus, Systems Science and Industrial Engineering and Computer Science departments, PhD, 1965, University of Maryland: Quantitative modeling of biological, social, physical and engineering systems, morphogenesis and aging, protein folding, computer simulation, computer graphics, remote sensing of vegetation. (1975)
Guydosh, Nicholas, Lecturer, Computer Science Department, PhD, 1968, Syracuse University: Computer architecture, formal languages, theory of computation, logic design, parallel and distributed computing, computer science education. (1991)
Head, Eileen, Lecturer, Computer Science Department, MS, 1974, University of Texas at El Paso: Programming languages, algorithms, design patterns. (1994)
Iwobi, Margaret E., Lecturer and Program Coordinator, Computer Science Department, MS, 1975, State University of New York at Binghamton: Software engineering principles, computer science education, development of programming principles and practices, software development environments. (1975)
Klir, George J., Distinguished Professor, Systems Science and Industrial Engineering Department, PhD, 1964, Czechoslovak Academy of Sciences: General systems methodology, information theory, expert systems, intelligent and fuzzy systems, fuzzy measure theory. (1969)
Kroger, Harry, Professor, Electrical Engineering Department, PhD, 1962, Cornell University: Electronics packaging, physics and fabrication of superconductor and semiconductor devices, superconductor-semiconductor hybrid circuits. (1992)
Lam, Sarah S. Y., Assistant Professor, Systems Science and Industrial Engineering Department, PhD, 1999, University of Pittsburgh: Intelligent systems, modeling and optimization of complex manufacturing processes, neural network modeling and validation, heuristic search methods, statistical analysis and design of experiments. (1999)
Land, Walker, Research Professor, Computer Science Department, MS, 1964, George Washington University: Evolutionary computing, neural networks, genetic optimization, simulated annealing, object application of object-oriented paradigm to system software development. (1994)
Lander, Les, Associate Professor, Computer Science Department, PhD, 1973, University of Liverpool, England: Ada programming language, alternative programming (LISP, PROLOG, object-oriented), expert systems, formal aspects of software engineering. (1985)
Lehmann, Gary, Associate Professor, Mechanical Engineering Department, PhD, 1986, Clarkson University: Fluid dynamics, numerical and experimental heat transfer cooling of electronics. (1985)
Lewis, Harold W. III, Associate Professor, Systems Science and Industrial Engineering Department, PhD, 1995, State University of New York at Binghamton: Fuzzy expert systems, approximate reasoning. (1998)
Lewis, Michael J., Assistant Professor, Computer Science Department, PhD, 2000, University of Virginia: Distributed computing, metasystems, parallel computing, object-orientation, component-based software development, operating systems. (1999)
Lowen, Walter, Professor Emeritus, Systems Science and Industrial Engineering Department, DSc, 1963, Eidgenossische Technische Hochschule, Zurich: Cognitive models, human factors, visual perception, systems design and systems modeling, artificial intelligence. (1967)
Madden, Patrick, Assistant Professor, Computer Science Department, PhD, 1998, University of California at Los Angeles: Computer architecture and VLSI CAD. (1998)
Meng, Weiyi, Associate Professor, Computer Science Department, PhD, 1992, University of Illinois at Chicago: Heterogeneous database systems, query optimization and translation, information retrieval. (1992)
Miles, Ronald, Professor and Chair, Mechanical Engineering Department, PhD, 1987, University of Washington: Vibrations, acoustics, mechatronics, bioacoustics. (1989)
Morris, James, Professor, Electrical Engineering Department, PhD, 1971, University of Saskatchewan, Registered Professional Engineer: Thin films, semiconductor devices, electronics packaging, sensors, engine control. (1984)
Murray, Bruce, Assistant Professor, Mechanical Engineering Department, PhD, 1986, University of Arizona: Thermal and fluid sciences, computational fluid dynamics, materials processing. (1997)
Pattee, Howard H., Professor Emeritus, Systems Science and Industrial Engineering Department, PhD, 1953, Stanford University: Theoretical biology, evolutionary models of complex systems, linguistic control of dynamic systems. (1975)
Phatak, Dhananjay, Assistant Professor, Electrical Engineering Department, PhD, 1994, University of Massachusetts at Amherst: Computer architectures, computer arithmetic, neural networks and applications. (1994)
Piotrowski, Walter, Associate Professor, Computer Science Department, PhD, 1990, State University of New York at Binghamton: Operating systems, distributed systems and networks, implementation issues associated with real or prototype systems, real-time systems. (1982)
Pitarresi, James M., Associate Professor, Mechanical Engineering Department, PhD, 1986, State University of New York at Buffalo: Computational mechanics, vibration modeling and testing, electronics packaging. (1988)
Plumb, Richard, Professor and Chair, Electrical Engineering Department, PhD, 1988, Syracuse University: Electromagnetic modeling, ground-penetrating radar, imaging. (1998)
Sackman, George, Bartle Professor, Electrical Engineering Department, Registered Professional Engineer, PhD, 1964, Stanford University: Signal processing, digital audio, acoustic space-time array processing. (1984)
Sadeghi, Theresa M., Lecturer, Division of Engineering Design, MEng., 1979, Rensselaer Polytechnic Institute: Electrical, systems, manufacturing engineering, probability and statistics for electronics design manufacturing. (1999)
Sammakia, Bahgat, Professor, Mechanical Engineering Department, Director of Integrated Electronics Engineering Center, PhD, 1982, State University of New York at Buffalo: Heat transfer, fluid mechanics and electronics packaging. (1998)
Santos, Daryl L., Assistant Professor, Systems Science and Industrial Engineering Department, PhD, 1993, University of Houston: Production scheduling and control, engineering management, engineering economy.
Schwartz, Richard, Professor Emeritus, Electrical Engineering Department, PhD, 1959, University of Pennsylvania, Registered Professional Engineer: Microwave theory and techniques, antennas and propagation, acoustics, speech and signal processing. (1985)
Singler, Timothy, Associate Professor, Mechanical Engineering Department, PhD, 1982, University of Rochester: Experimental and theoretical fluid mechanics, microhydrodynamics, wetting, interfacial stability, applied mathematics. (1988)
Skormin, Victor, Professor, Electrical Engineering Department, PhD, 1975, Moscow Institute of Steel and Alloys: Control engineering, operations research, applied statistics, computer simulation. (1986)
Srihari, Krishnaswami, Professor, Systems Science and Industrial Engineering Department, PhD, 1988, Virginia Polytechnic Institute and State University: Manufacturing systems, computer aided process planning, expert systems, computer integrated manufacture. (1988)
Su, Stephen Y. H., Professor, Computer Science Department, PhD, 1967, University of Wisconsin at Madison: Fault-tolerant computing, design automation, computer architecture. (1978)
Summerville, Douglas H., Assistant Professor, Electrical Engineering Department, PhD, 1997, State University of New York at Binghamton: Computer engineering, parallel processing, computer architecture, networking. (1999)
Sun, D. C., Professor, Mechanical Engineering Department, Registered Professional Engineer, PhD, 1969, Princeton University: Mechanics, fluid and mechanical systems, and tribology. (1987)
Taylor, Charles, Professor Emeritus, Electrical Engineering Department, MS, 1970, State University of New York at Binghamton: Automation, automatic controls, microprocessor applications, robotics. (1979)
Wagner, Peter E., Professor, Electrical Engineering Department and Physics Department, PhD, 1956, University of California at Berkeley: Semiconductor circuit elements, microwave resonance, surface electricity, applied optics. (1989)
Wu, N. Eva, Associate Professor, Electrical Engineering Department, PhD, 1987, University of Minnesota: Approximation, optimization and stabilization of distributed parameter systems, robust control synthesis theory, control of robotic manipulators, signal processing. (1987)
Xu, Yonglin, Assistant Professor, Mechanical Engineering Department, PhD, 1990, Northwestern University: Dynamics of structures, fracture and fatigue, computational mechanics, wave propagation, impact mechanics, tribology, reliability and fuzzy analysis. (1999)
Zhang, Zhongfei (Mark), Assistant Professor, Computer Science Department, PhD, 1996, University of Massachusetts, Amherst: Multimedia/multimodal information indexing and retrieval, computer vision and image understanding, pattern recognition, image processing, robotics, neural networks, artificial intelligence. (1999)
Ziegler, William, Associate Professor, Computer Science Department, MS, 1982, Syracuse University: Program structure and design in procedural, functional and assembler languages, computer science education, university-industry interaction. (1982)
Adjunct Faculty
Agnew, Palmer, MS, 1996, Cornell University
Aigen, Michael L., MS, 1979, State University of New York at Binghamton
Anglin, Christopher R., MSIE, 1996, State University of New York at Binghamton
Boden, Edward B., MSCS, 1982, University of Wisconsin
Bowers, John S., MSCS, 1996, State University of New York at Binghamton
Czarnecki, Stephen, PhD, 1983, Princeton University
DeAngelo, Joseph, MS, 1990, State University of New York at Binghamton
Eckert, Doris, MS, 1970, University of Puerto Rico
Elias, Douglas, PhD, 1988, State University of New York at Binghamton
Frey, Robert, MSEA, 1972, Syracuse University
Fridrich, Jiri, PhD, 1995, State University of New York at Binghamton
Glickstein, Ira S., PhD, 1996, State University of New York at Binghamton
Hinton, Rachel E., MSAT, 1989, State University of New York at Binghamton
Islam, Mohammed, PhD, 1964, Northeastern University
Kellerman, Anne, MS, 1964, Georgia Institute of Technology
Kelly, Barry L., MSSS, 1997, State University of New York at Binghamton
Lacey, Robert, MS, 1976, State University of New York at Binghamton
Massara, Joseph, BSME, 1970, Syracuse University
McNair, Patricia, MSCS, 1993, State University of New York at Binghamton
Mecklenborg, Richard, MA, 1982, State University of New York at Binghamton
Pittman, Robert, MS, 1982, Rensselaer Polytechnic Institute
Pivnichny, John R., PhD, University of Michigan
Poliquin, Molly, MA, 1989, State University of New York at Binghamton
Primavera, Anthony A., MS, 1991, State University of New York at Binghamton
Reksc, Stanley, MS, 1984, State University of New York at Binghamton
Rhodes, Donna, PhD, 1988, State University of New York at Binghamton
Robi, Dennis, MS, 1984, State University of New York at Binghamton
Sadeghi, Theresa, MS, 1978, Rensselaer Polytechnic Institute
Schafer, John, PhD, 1967, Syracuse University
Scudder, David, BS, 1984, State University of New York-Empire State College
Shafer, Stephen, MSCS, 1984, State University of New York at Binghamton
Simic, Berto, MSCS, 1980, State University of New York at Binghamton
Snethen, Thomas, MSEE, 1965, Massachusetts Institute of Technology
St. Clair, Ute, PhD, 1980, Ohio State University
Standish, Charles, PhD, 1954, Cornell University
Steflik, Richard, MS, 1977, State University of New York at Binghamton
Umrigar, Zerksis, D., PhD, 1986, Syracuse University
Woychik, Charles, PhD, 1984, Carnegie Mellon University
Zarrineh, Kamran, PhD, 1999, State University of New York at Buffalo
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MISSION STATEMENT
The mission of the Thomas J. Watson School of Engineering and Applied Science is to provide instructional and research services in the broad field of engineering and applied science. To fulfill this mission, the school:
THE PROGRAMS1. Offers baccalaureate, master’s and doctoral programs that prepare graduates for employment in the technical professions and combine a firm grounding in fundamentals, elements of practical application and an appreciation for liberal learning.
2. Conducts basic and applied research that expands the technical knowledge base and advances industrial practice.
3. Provides support for the economic development of the state of New York.
4. Offers contract and non-credit continuing education opportunities for practicing professionals.
5. Provides its programs and services at a price that assures their accessibility to the widest possible range of the citizens and companies of New York state.
The Watson School comprises the departments of Computer Science, Electrical Engineering, Mechanical Engineering, and Systems Science and Industrial Engineering. The school is housed in a 121,400-square-foot building designed and equipped specifically for studies in engineering and computer science.
Established in 1983, the Watson School offers bachelor of science degrees in computer science, electrical engineering, computer engineering, mechanical engineering, and industrial and systems engineering. The computer science degree is accredited by the Computer Science Accreditation Board (CSAB) and the engineering degrees are accredited by the Accreditation Board for Engineering and Technology (ABET).
The following advanced degrees are also offered by the Watson School: master of science in computer science, electrical engineering, industrial engineering, mechanical engineering, systems science, and a master of engineering (MEng), a practice-oriented graduate degree. In addition, there are doctoral programs in electrical engineering, computer science, mechanical engineering, and systems science (with an optional specialization in manufacturing systems).
To serve the technical community, the Watson School provides extensive continuing education programs, including short courses, symposia and special contract instructional programs.
The Watson School’s undergraduate degrees combine a strong theoretical base with extensive practical application through laboratory and design projects as well as internships. Entering engineering freshmen participate in the Design, Technology and Communications (DTeC) four-course sequence that integrates instruction in computer applications, graphics and audio, technical writing and speaking, and engineering design. Computer science majors are offered similar integrated educational experiences. Students are encouraged to obtain technical experience in industry during the summer or through special internships. The engineering programs also accept students as junior transfers from community college engineering science programs, other four-year engineering programs and other four-year colleges. The graduate program provides strong research opportunities in a number of areas including electronics packaging, computing technologies and intelligent systems.
The school serves full-time and part-time degree students as well as non-degree students in common course experiences. Many graduate courses are offered in the late afternoon and early evening to accommodate students employed in local industry.
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Computer science majors are admitted at the freshman level or as transfer students directly into the computer science degree program. Students may enter the undergraduate engineering programs as freshmen by admission to the Division of Engineering Design, or as junior transfers directly into electrical, computer engineering, mechanical or industrial and systems engineering degree programs.
Junior engineering transfers should have completed the equivalent of the associate in science degree in engineering science offered by New York state community colleges, which includes the following subjects:
• Mathematics through differential equations
• Three courses in calculus-based physics
• One course in chemistry
• One course in materials science or modern physics, or chemistry II
• One course in English composition or technical writing
• Engineering mechanics (statics and dynamics)
• A first course in electric circuits
• Eight credit hours in humanities and/or social sciences
• Proficiency in graphics and in a computer language (C, C+ or Java)
A total of 60 credits is accepted for transfer from an engineering science curriculum or its equivalent. A minimum grade-point average of 2.6 is required.
The Harpur 3/2 program, BA (physics) and BS (engineering), is described under the Department of Physics in the Harpur College section. Other double degrees are possible, and may be discussed on an individual basis in the Watson advising office.
A double degree program may also be arranged between computer science and other disciplines.
Watson School students are eligible to participate in the University’s financial aid program. Normally, such aid is available only to matriculated students. Those interested in obtaining financial aid should contact the director of student financial aid and employment as soon as possible to determine their eligibility.
Outstanding applicants to the undergraduate programs in engineering and computer science are eligible for Watson School scholarships. Appointments are based on prior academic record. For more information on scholarships, contact the Watson School advising office.
Individuals interested in taking courses for credit, but not in pursuing a
degree program, may apply for admission as non-degree students. All non-degree
students are subject to the administrative guide-
lines described elsewhere in this Bulletin. On acceptance, they may enroll as
space permits in Watson School courses for which they have completed the
prerequisites. Courses taken under non-degree status may be accepted later to
satisfy requirements in specific Watson School degree programs.
In addition to the credit courses, various non-credit courses are offered each semester by the continuing education program of the Watson School. The goals of this program are to keep technical personnel informed of advances in their fields and to stimulate innovation. These courses are conceived and developed in close cooperation with the technical community. This enables us to focus on immediate training needs and to design programs specific to those needs. For more information, contact the director of continuing education of the Watson School.
The Watson School generally follows the academic policies announced in this
Bulletin, the Student Course Guide, the Schedule of Classes, the Undergraduate
Academic Handbook and Rules for Student Conduct. The following policies also
apply to Watson School students, who are expected to be familiar with and abide
by
the regulations in this section and the University-wide policies in the
publications listed above.
All matriculated students follow the requirements for graduation listed in the Bulletin current at the time they are admitted. However, undergraduate students who interrupt enrollments for three or more consecutive semesters are governed by the Bulletin in effect when they are readmitted.
Upon the adviser’s recommendation and approval of petition through the appropriate department chair, students may elect a later Bulletin under which to fulfill their degree requirements. A combination of requirements from different Bulletins, however, is not permissible.
Students are considered full time if they are registered for 12 credit hours or more. The maximum number of credits a Watson School student may take, without an approved petition, is 18. General academic petitions to overload are only approved for graduating seniors in good standing, or for those with a 3.0 grade-point average and no grades of Incomplete.
Watson School students may drop below 12 credits without permission and be classified as part time. Students receiving financial aid should check with the Student Financial Aid and Employment Office before dropping to part time, because their action may affect aid eligibility.
To receive any Watson School undergraduate degree, students must satisfactorily complete at least 30 credits of Binghamton courses taken entirely in the Watson School. Requests for exceptions to this policy must be made by petition to the Watson School academic affairs committee and be approved by the dean.
Students must not be under any disciplinary action at the time of graduation. They must also pay or satisfactorily adjust all fees and bills.
For additional graduation requirements, consult the descriptions of the specific degrees.
All newly admitted Watson School students are subject to the General Education Requirement. For a complete description of General Education, refer to that section of the Bulletin.
For further information, refer to "General Education and Your Watson School Major," available in the Watson School advising office.
Students who enroll in courses offered outside of the Watson School undergraduate programs are graded according to the grading system of the school offering the course. Such students may petition to have the Watson School’s undergraduate grading system apply.
Watson School undergraduate courses are graded in one of two ways:
1. A, A–, B+, B, B–, C+, C, C–, D, F, W, WP, WF, or
2. P/F.
Students normally choose the first option. However, in certain cases, students may elect the Pass/Fail option and receive a P (Pass) or F (Fail) rather than a traditional grade. This option may be elected for a maximum of four free-elective credits for computer science, exclusive of any required course that is offered only on a Pass/Fail basis.
Instructors may temporarily submit a grade notation of Incomplete, which appears in grade reports as I. A grade of Incomplete must be removed and replaced with a permanent grade no later than the last day of classes of the semester following the one in which it was received; however, an instructor may set an earlier date for completion of the work. If the grade is not removed by the applicable date, and an extension has not been granted, the grade of I automatically becomes a grade of F.
If a student withdraws from a course after the official drop deadline, the instructor may assign a grade of WP (Withdrawn Passing) or WF (Withdrawn Failing). A grade of W is assigned only when a student has withdrawn from all courses and thus from the University. The grades of WP and W do not count as courses taken. A WF is equivalent to an F. No changes are made to an undergraduate record after two years have passed.
When students repeat a course in which they earned a failing grade, the retaken course counts toward the rate of degree progress. The two grades are averaged and both show on the student transcript.
While students may retake a course in which a passing grade was earned, only the first passing grade counts toward degree progress, but both show on the transcript. The retaken course is not considered part of the normal 12 credits required for full-time status. The Degree Audit Recording System (DARS) still uses the first passing grade for a repeated course.
Students are expected to be familiar with the University-wide policies governing changes in their course registration, specifically the add/drop deadlines. No changes are made to an undergraduate record after two years have passed.
Add Deadline: The end of the second week of the semester is the last day to add classes.
Drop Deadline: Five class days after mid-semester.
1. Deadline to drop a course without academic penalty.
2. Deadline to change a grading option (e.g., from normal to P/F).
Note: If an academic petition is approved for a late add or late drop because of extraordinary circumstances, the Student Accounts Office imposes a late add/drop fee.
Students’ academic progress is reviewed at the end of each regular semester
to ensure that satisfactory progress is maintained. "Satisfactory
progress" is defined as maintaining a 2.0 grade-point average (GPA). The
GPA is calculated on a 4.0 system using the following grade-point equivalents:
| A = 4.0 | A- = 3.7 |
| B+ = 3.3 | B = 3.0 |
| B- = 2.7 | C+ = 2.3 |
| C = 2.0 | C- = 1.7 |
| D = 1.0 | F = 0.0 |
For undergraduates, a D grade is considered passing. However, some students are advised to retake a course. If a course is retaken, that grade also becomes a part of the cumulative grade-point average. However, when a course in which a student has earned a grade of D or better is retaken, it does not count toward full-time enrollment during the semester in which it is retaken. Additionally, the first passing grade (D) is what is used in the student’s degree audit report (DARS).
Students whose GPA for a given semester falls below 2.0 are placed on provisional probation for the following semester, as long as their cumulative grade-point average is above 2.0. Provisional probation is not listed on student transcripts.
Probation.
Students whose cumulative grade-point average for courses taken at
Binghamton falls below 2.0 will be placed on academic probation for the
following semester, and will be subject to the following restrictions:
Suspension.
Students on probation who again fail to meet both the 2.0 cumulative
GPA and the last-semester GPA given in the table below are suspended.
The credit hours attempted are those taken as a matriculated student. Students
who meet the last-semester GPA requirement but still post a cumulative
GPA under 2.0 will remain on probation.
| Hours Attempted | Last Semester GPA |
| 0-16 | 2.0 |
| 17-32 | 2.1 |
| 33-48 | 2.1 |
| 49-64 | 2.2 |
| 65+ | 2.3 |
Suspension becomes effective immediately when it is imposed. The duration for academic suspension is one semester, and students are not considered for readmission during that period. All applications for readmission, after a minimum period away from school, must be filed through the Undergraduate Admissions Office.
Dismissal.
Students who, after being suspended and readmitted twice, again fail to meet
the required academic standards are dismissed. The Academic Affairs Committee
will hear a single appeal of dismissal after demonstration of significant
changes.
Appeals of decisions of the Academic Affairs Committee are referred to the dean.
For the purpose of determining academic standing, credits earned prior to matriculation in the Watson School may be reviewed.
Resolution of student-faculty grievances should be initiated on an informal basis between the parties directly concerned or with the department chair. If such attempts cannot bring about a conciliation, then the complaint may be submitted to the Watson School grievance committee. Copies of the grievance procedure are available in the Dean's Office.
Students who withdraw from the Watson School and wish to remain in good standing must follow a formal withdrawal procedure. Mere absence from class does not constitute withdrawal. Withdrawal forms may be obtained from the Watson School advising office or the Registrar’s Office, either in person or through the mail. A grade of W is assigned when the student has withdrawn from all courses and thus from the University. Grades of W do not count as courses taken.
The Watson School applies the same withdrawal and readmission policies as established for the University, except that Watson School students may drop below a 12-credit program without permission.
Undergraduate students must apply for readmission through the Undergraduate Admissions Office if they have not been in attendance for one or more semesters.
Students who interrupt enrollment for three or more consecutive semesters are governed by the Bulletin in effect when they are readmitted. Summer sessions and the semester when a student officially withdraws are not included in this count. Exceptions are made for students eligible to continue at Binghamton who are forced to leave because of involuntary call to military service.
All Watson School students are eligible to receive the services provided for all students at Binghamton, and to participate in the various student activities. Students should familiarize themselves with the Bulletin sections on services for students and student activities.
Institute of Electrical and Electronics Engineers (IEEE)
Association of Computing Machinery (ACM)
American Society of Mechanical Engineers (ASME)
National Society of Black Engineers (NSBE)
Pi Tau Sigma (mechanical engineering honor society)
Society of Automotive Engineers (SAE)
Society of Manufacturing Engineers (SME)
Society of Women Engineers (SWE)
Upsilon Pi Epsilon (honor society for the computing sciences)
Tau Beta Pi (engineering honor society)
Eta Kappa Nu (electrical engineering honor society)
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Prospective students should request application materials from the Graduate School. Official transcripts, the completed application form, a statement of professional goals, Graduate Record Examination (GRE) scores and two letters of recommendation are required. International applicants whose native language is not English must also submit the results of the Test of English as a Foreign Language (TOEFL) and a statement of financial means. Assistantships are awarded on the basis of merit and required skills.
Prospective students may also be admitted to coursework by submitting an
application to the Graduate School for
non-degree, non-matriculated status. Non-degree students are allowed to take
courses without lengthy documentation but are encouraged to apply for
matriculated status after one semester of study. This process is especially
advantageous for students who must first complete undergraduate prerequisite
courses before beginning graduate-level coursework. This process should be
discussed with one of the program advisers.
The Watson School offers master of science degrees in computer science, electrical engineering, industrial engineering, mechanical engineering and systems science. A Master of Engineering (MEng) degree with various specializations is also available. The MEng is a practice-oriented degree that culminates in a sequence of two courses that focus on engineering projects. These programs are described fully under the appropriate headings below.
The Watson School offers the PhD in computer science, electrical engineering, mechanical engineering, systems science, and systems science with a specialization in manufacturing systems.
The PhD programs prepare students for basic and applied research in the areas of engineering, computer science and systems science covered by Watson School curricula. Research areas are multidisciplinary and reflect the interests of the Watson School faculty. Current research areas include composites properties, reactive fluid models of metallurgical processes, mechanical vibrations, convective heat transfer, Moire strain analysis, general systems methodologies, systems design and systems modeling, fuzzy logic and fuzzy systems, remote sensing, computer graphics, adaptive systems, expert systems, information theory, symbolic computation, cognitive models, computer architecture, computer networks, database systems, distributed systems, information retrieval, fault testing and diagnosis, operating systems, parallel processing, real-time systems, software specification and verification, VLSI systems, thin films, optimization and controls, neural networks, parallel architectures, machine vision, computational electromagnetics, electronics packaging, switched-mode power supplies and device modeling. Prospective students should contact the Watson School for an updated list of current research topics.
1. Satisfaction of learning contract, including proficiency in teaching and residence requirements.
2. Satisfaction of comprehensive qualifying requirement.
3. Presentation of colloquium on proposed research.
4. Acceptance of prospectus outlining dissertation research.
5. Submission of dissertation.
6. Defense of dissertation at oral examination.
For admission to a doctoral program, current students in a Watson School master’s program are required to present to the director of graduate studies letters of recommendation from two Watson School faculty, and a statement of the area of research in which they plan to do their dissertation. Students from other institutions should write to the director of graduate studies in their prospective program, Watson School, Binghamton University, PO Box 6000, Binghamton, New York 13902-6000, and give a summary of their academic background and a statement of their field of research interest. Owing to the wide range of potential research topics and the limited enrollment in the PhD program, preliminary discussions with the applicant are expected before the student’s acceptance. Applicants must submit GRE scores in the verbal, quantitative and analytical tests.
All application materials should be received before Feb. 15 for decisions on fall admission, and before Nov. 1 for decisions on spring admission.
On acceptance into a program, students must form an approved guidance committee. The guidance committee consists of from three to five members, normally full-time Watson School faculty; however, students may propose members from other schools at Binghamton University, faculty from other universities or professionals from outside academe. The guidance committee advises the student and evaluates and certifies the student’s performance throughout the program of study and research.
In consultation with the guidance committee, the student prepares a learning contract in which a program of study is specified, including the major area of research, additional course requirements, teaching requirement, evaluation procedures and the form of the comprehensive examination. Although the learning contract may be modified as the research interests of the student develop, to ensure competence and depth in the major area and breadth in relevant disciplines, each modification must be approved by the guidance committee and properly documented. A copy of the learning contract is placed on file in the Dean’s Office.
On admission to a PhD program, the student must prepare to demonstrate mastery of fundamental skills to the guidance committee. This comprehensive qualifying requirement is normally satisfied by:
a. completing courses in academic areas specified in the learning contract; and
b. completing a written and oral examination that covers material specified in the learning contract and administered by the student’s guidance committee.
In exceptional cases, with approval of the graduate studies committee, a student may satisfy some of the requirements by means of previous academic experience, publications or other evidence of competence.
When the comprehensive requirement is accepted by the guidance committee, the student is recommended for admission to candidacy. The student has six months from completion of the comprehensive requirement to submit an approved prospectus to the Dean’s Office.
The student presents, for evaluation by the Watson School faculty, a colloquium on the proposed research, demonstrating an ability to use suitable research methodologies and to identify relevant problems in the area of concentration.
Using the results of the colloquium, the student, in consultation with the guidance committee, prepares a more detailed prospectus outlining the dissertation research, which is filed in the Watson School Dean’s Office.
In addition to the coursework and research, doctoral candidates must demonstrate proficiency in teaching. Doctoral students must meet a teaching requirement in one of the following ways:
1. (first preference) as an instructor of record in an undergraduate course.
2. the completion of WTSN 591 (Teaching Methods in Technical Courses) and the teaching of one or more seminars or a portion of a course.
3. history of teaching experience comparable to choices a. or b. (above), verified and approved by the guidance committee.
Refer to the Academic Policies and Procedures section of this Bulletin.
There is no formal language requirement; however, individual students may have a language requirement specified in the learning contract.
With the guidance of the dissertation adviser, the student completes research and preparation of the dissertation, an original written contribution demonstrating originality and competence in the chosen field of research. The guidance committee has direct charge of all matters pertaining to the dissertation, which must have the committee’s unanimous approval before arrangements are made for the final examination for the degree. The dissertation is to comply with the format and filing requirements set forth in the Graduate School Student Handbook.
In defense of the dissertation, the student is required to pass an oral examination, open to the University community. The evaluation of the student’s performance in this oral examination is made by an examination committee consisting of members of the student’s guidance committee, augmented by an outside examiner appointed by the vice provost for research and graduate studies. The decision to recommend the candidate for the doctoral degree is made by unanimous vote of the guidance committee.
The course descriptions listed under the department sections that follow, while indicating the nature and scope of the Watson School programs, are not a historical record, nor do they include the school’s experimental or continuing education offerings.
All courses in the Watson School with numbers below 300 are classified as lower-division (freshman/sophomore) and do not require prerequisites for enrollment, unless otherwise specified in the course description. Courses numbered 300 and above are advanced courses normally open only to students who have at least junior standing and who meet any additional prerequisites stated in the course description. Students may be granted a waiver of course prerequisites upon the recommendation of a program adviser or with the permission of the appropriate department chair.
Courses numbered 500 or higher are graduate courses. Undergraduate students may file a general academic petition to take graduate-level courses for which they are qualified. The petition must be signed by the course instructor, the student’s department chair and the associate dean for academic affairs. Credits from such courses may be used to meet baccalaureate degree requirements. Students who are within eight credits of their baccalaureate degree may petition to receive graduate credit for up to two courses. The petition must be approved by the Registrar, Financial Aid and Student Accounts offices by the add deadline of the semester in which the courses are taken.
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WTSN 573. ELEMENTS OF ENGINEERING PRACTICE 3 cr.
The first in a set of two courses that serves as the capstone for the master
of engineering (MEng) degree, this course prepares early-career engineers to
conduct the various kinds of projects they may be asked to do as practicing
engineers.
WTSN 574. ENGINEERING PROJECT 3 cr.
The second in a set of two courses that serves as the capstone for the
master of engineering (MEng) degree, this is the execution of the project
defined in WTSN 573. Prerequisite: WTSN 573.
WTSN 581. ELECTRONICS PACKAGING SYSTEMS 1 cr.
Exposes the student to the latest developments in the field of electronics
packaging by using a variety of academic and industrial experts. Provides a
broad perspective on the electronics packaging concepts, terminology, industry
and recent developments. Addresses design, materials and manufacturing aspects
of electronics packages. Prerequisite: graduate standing.
WTSN 591. TEACHING METHODS IN TECHNICAL COURSES 1 cr.
Introduction to principles of effective teaching, including course design,
use of objectives, lecturing, discussion methods, examination design, theories
of learning and personal style. Students present seminar for critique.
Complements research seminar. Contributes toward meeting doctoral teaching
proficiency requirement. Prerequisite: graduate standing.
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