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Decision Sciences and Engineering Systems - Graduate Programs
◆DSESという学部の大学院プログラムです。
Industrial and Management Engineering Curricula
◆Industrial & Management Engineering というカリキュラムです。直訳すると産業経営工学でしょうか。。。いわゆるインダストリアルエンジニアリングとMBAの中間的存在です。実際、後のクラスの番号を見ればわかりますが、ビジネススクールとエンジニアリングスクールのジョイントプログラムです。
The Department of Decision Sciences and Engineering Systems offers two master's degrees in industrial and management engineering. These include the Master of Science degree that requires a Master's Project or Thesis and a nonthesis Master of Engineering degree.
◆私は、Master of Science （修士）の取得を志望しています。
The master's program in Industrial and Management Engineering is available through distance learning. Contact the Rensselaer Satellite Video Program (RSVP) office for course scheduling information.
◆多くの大学のプログラムがそうですが、このプログラムも遠隔教育にて受講が可能とのことです。
Admissions Requirements
All applicants must take the Graduate Record Exam (GRE); this is especially important for those requesting financial aid due to the large number of aid requests, and it is waived only under extenuating circumstances. In special situations, and with departmental permission, the GMAT may be substituted for the GRE.
Prerequisite Courses (6 credits)
◆そもそも本プログラム入学前に終了していなければならないコースです。同大学で学部のコースを履修している物は免除ということですが、私のように大学院から編入する場合は必須です。
All students seeking the Master of Engineering or Master of Science degree in Industrial and Management Engineering must satisfy the following two courses in their undergraduate program or at Rensselaer:
Applied Operations Research (equivalent to 92461 or, if the student is seeking an Applied Operations Research concentration, a course equivalent to 92477 must be taken) Introduction to Applied Statistics (equivalent to 92611) The master's degrees in industrial and management engineering are both a minimum of 30 credit hours. Students who have taken at least one of the above prerequisite courses (or their equivalents) prior to entering the program will follow a 30 credit hour program of study. Students who have previously taken none of the above prerequisite courses will follow programs of study of 33 credit hours.
◆上述 Prerequisite のどちらか一つ（または等価な単位)でも修了していれば、プログラム終了（修士取得）には30単位必要。上述 Prerequisite の両方が終了していない場合は33単位必要とあります。私の場合、当然最低33単位ということになります。ここで注意するのは、この33単位はあくまで修士取得の条件であって、プログラム全体では、
Prerequisite 6単位 Core 6単位 Concentration（専攻） 9単位 Master 9単位 と、合計39単位になっています。まぁプログラムを終了しなくとも Master はもらえる。そういう場合が考えられるということでしょう。
# Course
Prereq Y/S DSES-4610 Operations Research Methods I
Development of basic approaches of deterministic operations research to decision problems. Focus on optimization algorithms for networks and linear, goal, dynamic, and integer programming. Several computer projects required. Prerequisite: MATH-1020 or equivalent. Fall term annually. 3 credit hours65102 98F
99FDSES-6110 Introduction to Applied Statistics
A graduate course in basic statistics. Stresses application to common tasks such as summarizing large databases, making quick estimates, establishing relationships among variables, forecasting, and evaluating alternatives. Topics include probability, common discrete and continuous distributions, sampling, confidence intervals, hypothesis tests, contingency tables, statistical process control, multiple regression analysis. Extensive use of computers to analyze data sets. Students cannot obtain credit for both this course and DSES-4140. Spring term annually. 3 credit hours99S
◆ 92461 の Prerequisiteである 65102 について…
TOPCore Courses (15 credits)
In addition to the above prerequisite courses, a student's core course work must include:
# Course
Prereq Y/S DSES-6470 Strategic Management of Technological Innovation
The course helps develop an understanding of and the method for managing technology as a strategic resource of the firm. In doing so, an understanding of the process, roles, and rewards of technological innovation are developed. Integrating the strategic relationship of technology with strategic planning, marketing, finance, engineering, and manufacturing are covered. Governmental, societal, and international issues are briefly covered. The course uses a variety of cases, readings, reports, and lectures. (Cross listed as MGMT-6610. Students cannot obtain credit for both this course and MGMT-6610.) Prerequisite: permission of instructor. Fall term annually. 3 credit hours98F
99FDSES-6500 Information and Decision Technologies for Industrial and Service Systems
This course emphasizes topics related to information systems and decision making including information and decision systems in organizations, database systems, knowledge systems, system analysis and design, networks and telecommunications in information systems, information systems for service delivery. Fall term annually. 3 credit hours98F
99FDSES-6600 Models for Production Control and Service Logistics
This course covers deterministic and stochastic models applied in manufacturing and service organizations with special emphasis on the study of inventory control models, logistics management models, and queuing models. Analysis of these models and their application to design and planning problems in manufacturing as well as service systems is emphasized. Prerequisites: DSES-4610 or DSES-4770(MATP-4700), and DSES-6110 (or equivalent), or permission of instructor. Spring term annually. 3 credit hours92461(98F)
or
92477
92611(99S)99S DSES-6620 Simulation Modeling and Analysis
A thorough development of a simulation language is stressed in order to progress through a series of increasingly sophisticated applications of computer simulation. Projects cover a wide range of topics: production systems, inventory, finance, transportation, public, and health systems. The course includes model development, statistical analysis of simulation input/output data, validation planning, and managing simulation projects. Prerequisite: DSES-6110 or equivalent. Fall term annually. 3 credit hours92611(99S) 98F
99FDSES-XXXX Applied Statistics Elective
(one graduate course from those listed under the Applied Probability and Statistics and Quality Control concentration)◆別Concentrationの科目から選べとあります。
Applied Probability and Statistics and Quality Control Concentration Prereq Y/S DSES-4750 Probability Theory and Applications
Axioms of probability, joint and conditional probability, random variables, probability density and distribution functions, expectation, functions of random variables, and limit theorems. Applications of probability to models in operations research, including queuing theory and Markov chains. (Cross listed as MATP-4600. Students cannot obtain credit for both this course and MATP-4600. Prerequisites: MATH-1020 or equivalent or permission of instructor. Fall term annually. 4 credit hours65102 98F
99FDSES-4760 Mathematical Statistics
A course in the theory of statistics which will provide students with a basic foundation for more specialized statistical methodology courses. Topics include sampling and sampling distributions; point estimation including method of moments, maximum likelihood estimation, uniform minimum variance estimation and properties of the associated estimators; confidence intervals; hypothesis testing including uniformly most powerful, likelihood ratio approaches, chi-square tests for goodness-of-fit and independence. The course will conclude with an introduction to linear statistical models. (Cross listed as MATP-4620. Students cannot obtain credit for both this course and MATP-4620.) Prerequisite: DSES-4750 or MATP-4600 or equivalent calculus-based course. Spring term annually. 4 credit hours92475
or99S
00SDSES-6010 Applied Regression Analysis
Emphasis is on empirical model building and evaluation for both multiple linear and nonlinear regression models. Topics specifically addressed are simultaneous estimation, diagnostics and remedial measures, selection procedures, locally weighted least squares classification variables, binary response variables, time series data, nonlinear estimation, software packages. Prerequisite: DSES-4140, or DSES-4760 (MATP-4620), or DSES-6110, or permission of the instructor. Fall term annually. 3 credit hoursDSES-6020 Design of Experiments
Methods of designing experiments so that statistical analysis of the resulting data will yield the maximum useful information. Testing of hypotheses; analysis of variance and covariance. Various designs, including the factorial and its modifications, incomplete blocks, Latin squares, and response surface designs are covered. Also discussed are optimality properties of design. Prerequisites: DSES-4140, or DSES-4750 (MATP-4600) and DSES-4760 (MATP-4620), or DSES-6110, or permission of the instructor. Spring term annually. 3 credit hoursDSES-6030 Sampling Methods
Sampling procedures including the following specific techniques: simple, stratified, systematic, cluster, double, and multiple sampling; estimates for totals, proportions, and variances; ratio and regression estimates; sources of error in surveys. Prerequisite: DSES-4140 or DSES-6110 or equivalent. Offered on sufficient demand. 3 credit hoursDSES-6040 Nonparametric Methods
Distribution-free methodology, order statistics, quantiles, runs tests, rank tests, one-sample and two-sample location and scale problems, k-sample problems, goodness-of-fit tests, measures of association, asymptotic efficiencies. Nonparametric estimation. Prerequisite: DSES-4760 (MATP-4620) or DSES-6110, or equivalent. Fall term annually. 3 credit hoursDSES-6050 Stochastic Processes
A foundational course to introduce the theory of stochastic processes and how it is used to mathematically model a wide variety of empirical phenomena such as queuing systems, inventory control, telecommunications and data networks, and reliability and maintainability. Topics include review of probability, random variables, and conditional expectation; definition of various classes of stochastic processes and their properties; the homogeneous, nonhomogeneous, and compound Poisson processes; renewal processes, discrete and continuous parameter Markov chains, birth and death processes. Prerequisites: calculus, DSES-4750 (MATP-4600). Corequisite: DSES-4760 (MATP-4620). Spring term even-numbered years. 3 credit hoursDSES-6060 Applied Multivariate Analysis
Multivariate distributions; correlations, multiple and partial; estimation and testing in multivariate analysis; multivariate regression analysis including regression with two or more variables subject to error; discriminating between multivariate populations; classification problems; determining the structure of multivariate observations by principle components and factor analysis. Prerequisites: DSES-4140 or DSES-6110. Spring term annually. 3 credit hoursDSES-6070 Statistical Methods for Reliability Engineering
Statistical methods for the analysis of life-test, failure, or other durational data. Engineering applications are emphasized, but the methods are applicable to biometric, actuarial, and social science durational data. Included are basic reliability concepts and definitions; statistical life and failure distributions such as the exponential, gamma, Weibull, normal, lognormal, and extreme value; probability and hazard plotting techniques; maximum likelihood and other estimation methods. Prerequisites: DSES-4140, or DSES-4760 (MATP-4620), or DSES-6110. Spring term odd-numbered years. 3 credit hoursDSES-6090 Decision Analysis
Normative and behavioral views are taken of decision making under uncertainty. This includes a discussion of utility theory and the general problem of ascertaining decision makers' preferences. Problem structuring techniques such as influence diagrams and knowledge maps are presented. Risk analysis, including risk assessment and management, is discussed. Decision analysis software is used. A class project in risk analysis is conducted. Prerequisites: DSES-6110 or equivalent and DSES-6500 or equivalent. Spring term odd-numbered years. 3 credit hoursDSES-6100 Time Series Analysis
Study of time series data for both description and prediction. Main emphasis on the classical Box-Jenkins approach to model identification, estimation, and diagnosis. Includes an introduction to spectral analysis. Applications to real data series, including forecasting problems and empirical comparison of alternative approaches. Use of computer packages for time series analysis. Prerequisite: DSES-4760 (MATP-4620) or equivalent. Spring term odd-numbered years. 3 credit hoursDSES-6140 Exploratory Data Analysis
Exposition of the philosophy and tools of exploratory data analysis. Tools include graphical techniques, data transformation, robust and resistant summaries, residual analysis, and resampling methods. Applications to the analysis of real data sets, stressing alternative analysis using statistical software. Prerequisites: DSES-4750 (MATP-4600) and DSES-4760 (MATP-4620) or equivalent; DSES-6010 recommended. Spring term even-numbered years. 3 credit hoursDSES-6150 Advanced Probability for Statistical Inference
Discusses advanced probability concepts and their application to statistical inference. Topics include discrete and continuous distributions, moment generating functions, random vectors and joint distributions, order statistics, bivariate normal distribution, modes of convergence, central limit theorem, goodness of fit, and simulation of random variables. Prerequisites: DSES-4750 (MATP-4600) and DSES-4760 (MATP-4620) or permission of instructor. Fall term annually. 3 credit hoursDSES-6170 Management of Quality Processes and Reliability
Definitions; corporate, economic, and government environments; international considerations; business processes and physical processes in manufacturing and services; control and enhancement of processes; organizing for and effecting change; experimental design for design and change; information systems; Deming approach; product and processes development; capital investment; empowerment of workers; people make it happen. Spring term annually. 3 credit hoursDSES-6230 Quality Control and Reliability
This course has the same content and requirements as DSES-4230 with material added. Additional topics include basic concepts of system and component reliability; statistical distributions such as the exponential, gamma, Weibull, and lognormal, important in the description of life and failure phenomena; and the graphical and quantitative analysis of complete and censored life-testing and failure data. Prerequisite: DSES-4140 or DSES-4760 (MATP-4620), or DSES-6110. Fall term annually. 3 credit hours62414
or
62476
or6261198F
Master's Thesis or Project (9 credits)
Students seeking the Master of Science degree option must also complete three to nine credit hours of DSES-6990 (Master's Thesis) or DSES-6980 (Master's Project). The thesis or project credits can also count toward the nine credit hour (3 course) concentration requirement described below.
◆MSが欲しい者は Thesis（論文）を書くか、Project（研究室配属）を選択しなければなりません。下記の集中講座のうちの3コースでも読み替え可能とあります。
Concentration Courses
The remainder of the program can be tailored to the student's interest. The plan of study must include a concentration area, which is defined as a set of three or more courses (or nine credit hours) that reflects a logical progression for developing a base of expertise in an area of study. Concentrations will usually, but not always, include at least one of the core courses listed above. Several concentration areas and acceptable courses applicable to each area are listed below:
◆3つ以上の講座の単位取得が要求されています。私は、いくつかある Concentration のなかで Management of Technology を志望しています。80番台のクラスはビジネススクール(MBA）のクラスです。
# Course
Prereq Y/S MGMT 6160 New Ventures
Analysis of new ventures, characteristics of people who successfully start new companies, identification of a market niche, establishing and building an organization, beginning to produce the first product, marketing the first product, financing the new company and making the transition from a new company to an established company. Prerequisites: MGMT 6190, MGMT 6710, and MGMT 6720; Spring term annually. 3 credit hours80619 99S
00SMGMT 6190 Financial and Managerial Accounting
The nature and role of finance; the financial system; accounting for financial activities; valuation concepts and the balance sheet; revenue recognition, cost determinants and the income statement; financial planning and budgeting; the cash budget, statement of sources and uses of funds, and pro forma statements; capital budgeting under certainty, project evaluation and selection; profit planning and break-even analysis; fund accounting for governmental and nonprofit organizations. Fall term. 3 credit hours98F MGMT 6300 Business Economics
This course is an introduction t the economic environment in which a manger operates. Elements of this environment include the concepts of marginality and the trade-offs among conflicting goals. Microeconomic dimensions include cost and production theory, demand theory, and market theory. The macroeconomic elements of importance include the relations among gross output, income, and employment, and the effect of governmental economic policy on the operations of the firm. Fall and spring terms annually. 3 credit hours98F
99S
99F
00SMGMT 6310 Financial Management and Valuation of the Firm
Course develops a working understanding of the major investment and financial decisions of the firm with emphasis on the role of technological change in financial decision making. Topics include: net present value and its application, capital budgeting, corporate financing decisions, venture capital financing, debt policy and the interaction of investment and financing decisions, portfolio theory and capital asset pricing, capital budgeting (uncertainty), options and their application to technological choice. (Spring term, 3 credit hours)99S
00S80650 Marketing Management and Business Strategy
The course combines the study of management policy and strategy development and the development of marketing strategy. Development of programs incorporating product, price, promotions, and pipeline decisions in consonance with people and market targets and profit goals. The position of a company in its industry and the strategic options that it has available are developed and examined. 3 credit hoursXX
閉講？80660 Research and Development Management
The course deals with the responsibilities of, and operating problems faced by managers of research and development. The following areas are included: technology forecasting, technology planning, selection and evaluation of R&D projects, resource allocation, planning and control, measuring results of R&D. Particular attention is given to creative problem solving, motivating and managing creative individuals, barriers to innovation, and organization alternatives for R&D, including matrix and project organizations. Prerequisite: 80619 or permission of instructor. Spring term annually. 3 credit hours80619 99S
00S92647 Strategic Management of Technological Innovation
The course helps develop an understanding of and the method for managing technology as a strategic resource of the firm. In doing so, an understanding of the process, roles, and rewards of technological innovation are developed. Integrating the strategic relationship of technology with strategic planning, marketing, finance, engineering, and manufacturing are covered. Governmental, societal, and international issues are briefly covered. The course uses a variety of cases, readings, reports, and lectures. (Cross listed as 80661. Students cannot obtain credit for both this course and 80661.) Prerequisite: permission of instructor. Fall term annually. 3 credit hours98F 92648 Service Operations Management
This course discusses the role of services in an economy, managing services for competitive advantage, structuring the service enterprise, managing service operations, service productivity, quality, and growth. The final part concerns quantitative models with service operations. (Cross listed as 80648. Students cannot obtain credit for both this course and 80648.) Prerequisite: permission of instructor. Spring term annually. 3 credit hours99S
00S92683 Large-Scale Systems: Case Studies and Analyses
A case-study approach introducing the systems method to analyze large-scale systems. Qualitative and quantitative study of the problems, from problem examination to problem definition, to problem solution, and to implementation. Case studies in manufacturing, transportation, community development, water resources, and criminal justice. Emphasis is on analysis of real-world problems using techniques of systems engineering and operations research and considering diverse factors such as economic, technical, sociological, and environmental issues. (Cross listed as 35683. Students cannot obtain credit for both this course and 35683.) Prerequisite: 35450. Corequisite: 92477 (67470) or equivalent or permission of instructor. Fall term odd-numbered years. 3 credit hours92477 99F 92686 Evaluation Methods for Decision Making
Evaluation provides structured information for policy-relevant decision making, based on a purposeful analysis of the identified measures. Topics include tests of hypotheses, randomization/control schemes, measures framework, measurement methods, and pertinent analytic techniques. Emphasis is on the application of evaluation methods (including systems engineering and operations research techniques) to issues arising in criminal justice, education, health, housing, transportation, welfare, automated information systems, and military programs. (Cross listed as 35686. Students cannot obtain credit for both this course and 35686.) Prerequisite: 35450 or 92475 (67460) or equivalent. Fall term odd-numbered years. 3 credit hours92475 99F
Although it is possible for a well-prepared student to complete the requirements for the master's degree in one academic year, it is recommended that the student allow a full calendar year or three academic semesters to complete the program of study.
単位数の計算
上述の Requirements を Prerequisites も含めてまともに取得したとすると、
Prerequisite Courses (6 credits) + (8 credits) Core Courses (15 credits) Master's Thesis or Project (9 credits) Concentration Courses (9 credits) 合計 47単位取得することになります。
冒頭に記述の通り修士取得のためには通常30単位、Prerequisite を含めて33単位以上とあります。現実的には、Prerequisite 3単位を含め全部で33単位以上を目指すことになります。ほとんどの授業が1コマで3単位ですから、全部で11コマです。1学期で3コマ取得が普通（4コマ取得はネイティブでも相当難しい）といわれていますから、
1学期3コマ → 4学期 12コマ
を目指すのが現実的と考えます。
私の履修計画
Course
Prereq Credits
Class Schedule
Pre
(6)Cor
(15)Con
(18)Days Strt End 98 Fall (Aug 24 - Dec 16, 1998) 92647 Strategic Management of Technological Innovation 3 [3] M W 8:30 9:50 Berg 80619 Financial and Managerial Accounting →80631 3 T R 12:00 13:20 Silveste 926230 Quality Control and Reliability 3 M W 10:00 11:20 Heragu 92650 Information and Decision Technologies for Industrial and Service Systems 3 F 9:00 11:30 Wallace Accumulative Total
9/9 3/3 99 Spring (Jan 11 - May 7, 1999) 92660 Models for Production Control and Service Logistics 3 M W 10:00 11:50 Heragu 92648 Service Operations Management 3 M W 8:30 9:50 Berg 80660 R&D Management 3 T R 12:00 13:20 Abetti Accumulative Total
3/12 6/9 99 Summer I (May 17 - June 2?, 1999) ○ 92662 Simulation Modeling and Analysis 3 T R 9:00 12:20 Foley × 80630 Business Economics 3 M W 14:00 17:20 Boylan Accumulative Total
3/15 0/9 99 Fall ○ 80630 Business Economics 3 M W 8:30
10:009:50
11:20○ 92683 Large-Scale Systems: Case Studies and Analyses 3 ○ 92686 Evaluation Methods for Decision Making 3 TOTAL
0 0/15 9/18
99 Summer は 98 Summer 実績による予測
