Search the 1997-1998 Catalog:
Research Professors: Gross, Wagner
Adjunct Professor: Fischer
Although the department does not offer an undergraduate degree in operations research, a variety of courses are available for inclusion in other degree programs and a certificate program exists at the undergraduate level.
Certificate Program Requirements STAT 344, 362, OR 435, 441, 442; one course chosen from ENGR 311 or MATH 313 or 325; and two courses chosen from OR 481, 498, 499, STAT 354, or any 400-level STAT class.
To achieve this objective, the program includes core courses and electives selected by the student with the aid of a faculty adviser. To obtain the master of science degree, students complete an approved plan of study that contains a minimum of 30 semester hours of graduate-level course work.
Students may take courses through the Commonwealth Graduate Engineering Program. Appropriate courses may be transferred, with adviser approval, into this George Mason degree program.
To be admitted to the program, a candidate must do the following:
A student with deficiencies in preparation may be accepted conditionally pending removal of the deficiencies. Courses taken to remove admission deficiencies extend the minimum requirements for the degree. Students whose undergraduate training was in the quantitative social sciences or quantitatively oriented business administration may be allowed to complete the mathematics prerequisite requirement by taking INFT 500.
Degree Requirements The program consists of 30 credits, divided as shown below. The core curriculum includes the following four courses (12 credits):
OR 541 Operations Research: Deterministic Models
OR 542 Operations Research: Stochastic Models
OR 680 Applications Seminar
STAT 544 Applied Probability
Also, at least three 600-level or higher methodology courses must be taken, including at least one course in each of deterministic and stochastic OR.
Up to three additional elective courses may be chosen with the concurrence of the student's adviser. These courses should be taken in an area appropriate to the student's interests, such as statistics, business administration, computer science, information systems, systems engineering, electrical and computer engineering, economics, mathematics, and public administration.
With the permission of their advisers, qualified students may elect to write a thesis in place of three credits of course work from the methodological or applications area.
Students whose primary interest is in optimization may complete a special concentration by choosing three courses from OR 641, 642, 643, 644, 682, 741, 745, and 777. The remaining three courses are chosen with the written concurrence of the adviser and should be tailored to the student's interest and must include at least one stochastic OR course. These may be chosen from the department's offerings, from appropriate offerings in other departments within SITE, and from appropriate courses in other university departments. A sample of possible courses outside this department is available from the department.
Students concentrating in stochastic models must complete OR 635, one 600-level STAT course, and two courses from OR 647, 648, 671, 677, 681, and 682. The remaining two courses are chosen with the concurrence of the student's adviser and must include at least one in deterministic OR.
A third option is available to students interested in operations engineering. For this option, the three required OR methodology courses must be chosen from OR 635, 641, 643, 647, 648, 677, and 681. Two of the three additional electives must be selected with adviser's approval from the offerings of the other departments in SITE.
Students concentrating in decision analysis must complete OR 635, 671, and 681, in addition to the five required courses. The remaining electives are to be chosen from the following: SYST/STAT 664 (strongly recommended), STAT 652, SYST 642, CS 580, and
CS 681 within SITE; and DESC 710, 720, FNAN 771,
MIS 730, 780, and 795 from the Institute of Graduate and Professional Business Studies.
Particularly important to students planning a Ph.D. program in Information Technology are the core courses that satisfy the breadth requirement for the Ph.D. in Information Technology.