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Management Sciences (MSCI)

22 courses in the 1969–70 Undergraduate Calendar, read from the scanned original. The text comes from OCR, so check the scanned page before relying on a detail.

Notes

Faculty listed in 1969–70

Department of Management Sciences D. J. Clough, B.A.Se.{Toronto), M.B.A. (Toronto).

K. D. Mackenzie, A. B. (U.C. Berkeley). Ph.D. (U.C. Berkeley) P.M. Reilly, B.A.Sc. (Toronto), DI.C., Ph.D. (London), F.S.S.

S.D. Saleh, B.A. (Cairo), M.A. (Western Reserve).

Ph.D. ( Western Res.)

F.E. Burke, B.A. (London)

E.A. Silver, B.Eng. (McGill). Sc.D.{MLI. T.).

J.J. Munk, B.Eng. (McGill), L. L. B. (Osgoode Hall). J.P.H. Castle, B.Comm. (McGill). C.A.

Faculty listed in 1969–70

J.B. Moore, B.A.Sc. (Toronto), M.A. (Waterloo).

B.A. Brown, B.A. (Toronto), M.A. (Toronto).

JR. Joseph, B.Tech. (Indian 1.T.), M.S. (Brooklyn Poly.) W.P. McReynolds, B.A.Sc. (Toronto), M.Sc. (U.B.C.)

Associated Faculty J.S. Minas, B.A. (Wayne). Ph.D. (Illinois)

S. Sengupta, M.A.. D.Phil (Calcutta)

Activities and Scope

The Department of Management Sciences, Faculty of Engineering, was established in 1969 as a consolidation of the Management and Systems Engineering Programme. The Department is presently in its formative stage, so that the faculty list and the course descriptions shown here may not be complete at the 1969 - 70 dates of registration.

The two main activities of the Department are complementary: (1) the pursuit of advanced research in selected fields of the management sciences, and (2) the provision of post-graduate courses of instruction for people who want to achieve high professional qualifications. Active faculty engagement in advanced research as well as experience in professional practice is considered essential to the development of adequate courses of instruction. The boundaries between pure research, applied research and professional practice become indistinct when the aim is to discover imaginative new ways to solve complex management problems.

The scope of both research activities and courses of instruction is presently limited to the fields of expertise and special interests of the faculty. However, existing research and course offerings fall within the four major categories described below, and the aim of the new Department is to strengthen and develop these major fields of study.

Operations Analysis and Codified methods and techniques of mathematical analysis, experimen- Operations Research tal design, data and information processing and statistical inference as

applied to the solution of management problems, The extension, development and validation of new methods and techniques for modelling, analyzing and studying management systems, and their extension into

new fields of application. Current research involves mathematical and eee eae ea Yocat --% «2 * 1 . . . .

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MSCI 250 Department of Management Sciences

Economic, Financial and Legal Econometric methods, models and sources of useable data; finance Analysis and Research strategies and financial correspondences to human and physical resource

allocations within enterprises; financial planning and capital growth models and their constraints. Behavioural, economic and mathematical aspects of investment decisions. Quantifiable problems of market behaviour. Patent and corporate law in management. Current research involves models of corporate growth, stock market behaviour and industrial innovation processes.

Organizational Behaviour and The study of psychological and sociological aspects of human behaviour Human Performance within the organizational system such as motivation leadership. control, interpersonal relations and group interactions, conflict, communication, organizational change, decision making and perception. Current research involves mathematical models of organizational behaviour and structure.

Resource Management The application of theories, models, methods and techniques of management sciences to the development and operational management of large resource systems in both the public and private sectors of the economy, involving problems of both public policy and private decision criteria. Emphasis is placed on the determination and measurement of value, and the use and evaluation of various utility theories and methods of benefit-cost analysis. Current research applications include mathematical models for water resource planning, manpower planning, petroleum and natural gas distribution, park and recreation systems planning, and education systems planning.

Graduate and Research Programme

Graduate credit is measured in units. A one-term course at the graduate level counts as one unit. Equivalent credit may be given to students transferring from other recognized universities for appropriate graduate courses previously taken. Certain senior undergraduate courses at this University may be taken for either partial or full graduate credit up to a maximum of two units.

The normal academic load is four units per term for a full-time student. Five units may be taken with special permission only. Students involved in a part-time employment at the University or otherwise, must take a reduced academic load.

A Faculty Advisor is appointed to supervise the programme of study of each graduate student. A new student must meet with his advisor prior to graduate course registration to arrange and approve his coursework programme and discuss his research interests. The progress of the student will be reviewed at least once each term by the advisor.

Master's Degree Programme

The Master’s Degree (M.A.Sc.)} in Management Sciences is awarded upon demonstration of individual accomplishment of a high professional and academic standard. The candidate, with approval of his advisor, may elect to submit either a research thesis as a portion of the requirements, or a project report of a professional calibre on an operational or theoretical application problem.

A research thesis may be submitted for graduate credit. The topic of the thesis and the choice of the remaining minimum of four units of graduate course work are arranged by the student and his Faculty Ad-

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Department of Management Sciences 251

must be performed under the direction of the Faculty Advisor, and is finally approved and accepted by him.

A Project Report may be submitted for graduate credit, under MS

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MSCI 807 The topic of the report and the remaining eight units of graduate course work are arranged by the student and his Faculty Advisor

The work leading to the report must be performed under the direction of the Advisor and be acceptable to him. Credit may not be obtained for both MS 807 and MS 808.

Candidates will normally be required to study in depth in one of the four fields of activities delineated above, and to demonstrate acquaintance with the other three.

The time limitations for a Master’s degree are four consecutive academic years for all course work and project or thesis requirements to be completed. The normal programme involves three terms of full-time study which must be extended if three or fewer units per term are taken.

Academic performance must be sufficient that the student receives an average grade of B (66-742) or more in the course-work portion of his approved study programme. At any time, a student may be required to withdraw from the programme if he receives a grade of C (60-66%) or less, in more than one course in Management Sciences or in more than a total of two course units, including minor fields.

The Ph.D. Degree Programme

The Ph.D. degree is awarded for accomplishment of independent and original research work and reporting thereon in a research thesis. The subsidiary requirements are completion of a suitable course-work programme, passing a comprehensive examination, demonstration of reading knowledge of a foreign language, and receiving a satisfactory review by a supervising committee. All of these must be construed as contributing to the competent performance of the research objective.

Admission to the Ph.D. programme is based upon the student’s academic record and evidence of ability to pursue independent research. Students must satisfy the requirements of the comprehensive examination as set out below. No candidate will be admitted to the Ph.D. programme before a Faculty Advisor willing to supervise the candidate’s research is appointed.

Minimum registration requirements for the Ph.D. degree are of two academic years from the Master’s degree level. or equivalent. The maximum time allowed is five consecutive academic years from the same level.

The course work associated with the Ph.D. programme is intended to provide a foundation for advanced learning in the general field of study as well as for competent research performance in some specific area. While there is no fixed requirement as to the number of credit units to be taken, aside from a usual maximum of eight units, the Advisor and the supervisory committee for each candidate will consider the level and adequacy of each candidate’s preparation in drawing up his specific programme.

The Comprehensive Examination The form of this examination varies with the applicant’s background and will be determined by the Department. The following are regarded as minimum examples: (I) Candidates holding master’s degrees from this university may have an oral examination. (2) Candidates having master’s degrees awarded mainly by thesis, and able to present themselves for examination, may elect to be examined orally on their thesis

252 § Note

Department of Management Sciences

M.A.Sc. If accepted they will then be required to follow three graduate courses in their first term and to obtain at least a 70% average. Successful candidates may then be registered retroactively for the Ph.D. (4) Candidates may submit substantially documented Ph.D. research proposals in writing and may elect to be examined orally on their proposals. Unsuccessful candidates will not be allowed to proceed.

Course Descriptions

,A// 600 level courses carry one unit of graduate credit and are completed in one term.

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MSCI 501 Introduction to Operations Survey Research

course in O.R. techniques and applied systems concepts for stu dents minoring in Management Sciences. Open to senior undergraduate and as a pre-requisite subject for Management Sciences. Pre-requisites: algebra, calculus, statistics. Winter term only.

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MSCI 602 Mathematical Foundations of Management Science

(a) Vector Algebra to Linear Programming; Variational Methods to Dynamic Programming. (b) Statistical Decision Theory; Stochastic Processes.

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MSCI 610 Quantitative Simulations

(a) Introduction to Modelling. (b) Socioeconomic Systems.

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MSCI 615 Management DecisionMaking Laboratory 618 619 People, Machines and Organizations

Participation in analysis, planning, and decision-making under competitive and fast-time stress using functional and industrial simulations.

Interpersonal and group behaviour in systems of people and machines; phenomena of perception, communication, learning, decision-making, morale, conflict resolution, and goal-seeking. Problems in perceiving and modelling behaviour; the human factor in organization design.

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MSCI 639 Introduction to Production

Techniques of production planning and control; models of aggregate production and workforce. interaction of production and inventory control; scheduling algorithms.

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MSCI 632 Operations R esearch in

Systems representation of single and multi-unit processing facilities.

Processing | ndustries experiment design to measure system parameters; simulations including

640 642 Strategies of R esearch and Development

economic factors; sensitivity analysis, production planning and control; capital resource evaluation; process optimisation.

Review of factors influencing the effect of research and design on a _business or national economy. Economic measurement; information flow; organization theory; psychology of discovery and innovation. Case histories of technological changes.

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MSCI 660 Introduction to Corporate Finance

Capital Sources; investment psychology, strategic and probabilistic considerations in financial planning.

662 Advanced Corporate Finance

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MSCI 665 Introduction to Corporate Law

Legal concepts as expressed in laws pertaining to company organizations, contracts, securities and patents. Court administration and procedure. Information retrieval and O.R. applications in legal and legislative procedures.

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MSCI 680 Advanced Stochastic Models Properties

and characteristics of stochastic models, with emphasis on

Department of Management Sciences

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MSCI 682 Network Methods 684 685 Advanced Mathematical Programming

Advanced network methods. with maximal flow algorithms as related to production control, plant location.

Review of non-linear. quadratic. and integer programming. also convex programming. Extension of linear programming with possibly non-linear objective functions and constraints: and integer solutions.

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MSCI 686 Quantitative Economics and Econometrics

Mathematical treatment of managerial economics, including aspects of benefit-cost analysis.

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MSCI 690 Corporate Planning

Modelling as an approach to problem identification and solution in corporate planning: organization. capital budgetting. forecasting. Case studies in corporate development. dynamics of growth and contraction, strategic decision making.

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MSCI 692 Public Sector Management

Operations and systems analysis in public administration. Case studies in governmental and_ institutional decision-making.

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MSCI 695 Evaluation of Current R esearch

Seminar: review of current literature in Operations Research, Systems, Management Science. etc.

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MSCI 801 Oral examination for the Ph.D

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MSCI 803 Comprehensive examination

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MSCI 804 Language requirements for the Ph.D

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MSCI 807 Management Sciences M.A.Sc

project

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MSCI 808 Research Thesis for the M.A.Sc

809 §'n Electrical Engineering Student

Research Thesis for the Ph.D.

srudying antenna patterns.

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MSCI 254 Faculty of Mathematics

Faculty of Mathematics

Department of Applied Analysis and Computer Science

Associate Professor D.D. Cowan, B.A..%. (Toronto). Ph.D. (Waterloo) Chairman of the Department Professor J. Aczel, Ph.D. (Budapest), Habil. D.Sc. (Hung. Academy of Science) Professor J.A. Brzozowski, M.A.Sc. /Toronto). Ph.D. (Princeton) Professor and Director of Computing Centre J.W. Graham, M.A. (Toronto) Professor H. Haruki, Ph.D. (Osaka) Professor M.A. McKiernan, M.A. (Loyola), Ph.D. (Illinois (Applied Mathematics and Institute of Technology) Applied Analysis and

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