83 courses in the 1973–74 Undergraduate Calendar, read from the scanned original. The text comes from OCR, so check the scanned page before relying on a detail.
Department of Systems Design
T.M. Fraser, M.B., ChB. (Edinburgh), M.Sc. (Ohio State), L.M.CC., FACP.M, F.AM. P.H. O’N. Roe, B.A.Sc. (Toronto), M.Sc., Ph.D, (Waterloo)
H.K. Kesavan, B.Sc. B.E. (Mysore), M.S. (Illinois), Ph.D. (Michigan State) G.N. Soulis, R.A.Sc. (Toronto)
M.L. Constant, B.A.Sc. (Toronto) R.N. Howard, B.Sc. (London), Ph.D. (London) K. Huseyin, M.Sc. (Istanbul), Ph.D. (London) G.F. Rabideau, B.A. (Wisconsin), M.A. (Wisconsin), Ph.D. (Purdue) P.L. Seeley, B.A.Sc. (Toronto) B.L. Wills, B.4.Sc., M.A.Sc., Ph.D. (Waterloo)
C.K.G. Hahn, M.A.Sc. (Waterloo) J.T. Kessel, B.Sc, Mech. Eng. (Rand) N.T. Dipl. Tech. (Witwatersrand), B.Ed. (Capetown) P.H. Meincke, B.Sc. (Manitoba) R.K. Ragade, B.Sc. (B.H.U. Varanasi), B.E. (L1.Sc. Bangalore), M.Tech., PAD. (L1.T. Kanpur). D.D. Schleiermacher, Diploma (Technische Hochschule, Munich), ; Diploma (Hochschule fiir Gestaltung, Ulm) F. Sengupta, B.A.Sa, (Cairo), Diploma (Einshams University, Egypt), Diploma (Cairo), M.A.Sc., (Case Institute) S. Toida, B.S. (U. of Tokyo), M.S., Ph.D. (Illinois)
P.B. Hildebrand, B.4.Sc. (Queen's), M.A.Sc. (Toronto) ; G.J. Savage, B.A.Sc., M.A.Sc. (Waterloo)
‘ Undergraduate Courses
Functions and limits. The derivative and differentiation formulas. Extrema. Antiderivatives. The definite integral, integration as the limit of a sum and fundamental theorem of integral calculus. Areas. Transcendental functions. Integration. Introduction to partial differentiation. Optimization: unconstrained, constrained with equations and constrained with inequalities. Selected applications.
Analytic geometry in three-dimensional space. Infinite series. Multiple integrals. Differentiation of an integral, with applications (i.e. optimization of an expected value of a function in statistical models} Partial differentiation. Introduction to Differential Equations.
Symbolic logic, set theory, permutations, combinations, discrete probability theory. .
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Sample spaces and probability measures. Randdm variables, Independent events. Probability density and cumulative distribution functions. Presentation of discrete and continuous probability density functions (Binomial, Normal, etc.). Moments of.a distribution. ‘Characteristic functions. Multivariate distributions. Marginal distributions. Transformations of random variables which will involve: distributions of functions of random variables and their sums. Laws of large numbers. Central limit theory. Selected applications.
Finite dimensional vector spaces. Linear dependence. The concept of basis. Orthogonalization of vectors. Methods of changing the basis. Matrices and determinants. Systems of linear equations and inequalities. The linear programming problem and solution by simplex method. Linear transformations. Matrices as linear transformation.
Introduction to electronic digital computers; hardware and software organization, basic features of Fortran, examples of efficient algorithms for engineering computations.
Cost-benefit analysis, critical path methods, interest, project economics, decision making, utility theory, project organizational theory.
Statics of particles, vectors, equilibrium of rigid bodies, centroids, the analysis of structures, forces in beams and cables, friction and moments of inertia.
Rectilinear motion, plane motion, dynamics of particles, work and energy, linear momentum, rotational motion, angular momentum, harmonic motion, gravitational, wave motion, sound waves.
An introductory course on the principles of engineering design culminating in a project involving the solution of a relevant need. Specific topics introduced are: The systems approach, principles of planning, the statement of a-design problem and the flow of information. Innovation and the creation of design solutions, physical, economic and financial feasibility, solution evaluation and selection. Value and utility, simulation, modelling and optimization.
A course in fundamentals of graphics with emphasis on basic techniques required for visual communication and computation.
An attempt to bring together and condense what are believed to be essential elements of the several social science disciplines. The core of the study that will be used is a group: of selected contemporary issues with implications that cut across all the: various disciplines. Some effort will be made to discuss values deemed appropriate for our age. Integrating universal concepts! or problems to be dealt with are: personality, work, community, and society.
Sample statistics and their distributions. Order statistics and their distributions. Decision making under uncertainty. Statistical inference: Estimation and testing statistical hypothesis. The theory of the least squares and regression analysis. Selected applications.
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Department of Systems Design
Topics from differential calculus, partial differential equations; line.
Systems Design
surface and volume integrals; functions of the complex variable, Taylor & Laurent series, Cauchy’s integral formula; operational calculus, Laplace Transforms theory; Introduction to Vector calculus and certain special functions.
Exact equations, integrating factor, separation of variables. Linear
(formerly SD217)
equations with constant coefficients, simultaneous equations, Laplace transform, solution by series. Non-linear differential equations and computer methods. Introduction to difference equations.
Application of digital computers to the solution of equations.
Computation (formerly SD221)
determinants and matrices; eigenvalue problems, numerical solution of ordinary differential equations; difference equations, numerical integration methods; error analysis.
Analysis of public and private choices among users of scarce resources.
Policy
The interaction of choices to form micro systems. Examples of policy questions; costs and benefits of alternative methods of pollution control, pricing of private and public goods.
The attributes of man as a functioning system; the nature of human
1 sensory and perceptual processes; memory, learning and the application
of information theory to human information processing; arousal and motivation; intelligence, learning and cognitive processes; motor function; the nature of human’work, skill and fatigue.
The structure and function of man in relation to systems design; the
2
relationship of biology and human physiology to engineering; biological concepts, biological variation. Introductory concepts in molecular biology and genetics; the cell as a micro-system; the role of water transport; man as a complex of systems and subsystems; the nature of selected subsystems (including introduction to electrophysiology).
Component models, interconnection models, system equations and their
SD251)
rank properties and solutions. These concepts are developed with respect to electrical systems.
Workshop
A problem and project oriented course wherein emphasis is placed on designing and presenting creative solutions to real-life problems. The 1 . problems are selected to cover all disciplines to which the student
Workshop
becomes exposed each year. Both the problems and the students work are expected to increase in sophistication and complexity in accordance 2 . with the student’s progress through the course.
Electric charge, Coulomb’s Law of Electrostatic Forces; Electric Fields.
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‘Gauss’ Law, conductors and electric fields; Electric Potential; ’ Capacitance, dielectrics. Magnetic fields, flux of magnetic induction; current, resistance and electric circuits; Induced EMF, inductance, Lenz’s law, Faraday’s law; magnetism in matter, transformers, motors, generators, introduction to basic electronic devices.
Statics and resistance of materials. Equilibrium of particles, rigid bodies and deformable bodies. Vector fields. Bay systems. Stress-strain relationships. Elastic and inelastic behaviour of prismatic members subjected to axial, shearing, torsional and flexural deformations.
. Department of Systems Design
An integrated laboratory sequence stressing instrumentation and measurement techniques.
292 Systems Design Laboratory 2
Introduction and background to the application of scientific models to the study of operational problem. This course is intended to present an integrated view of the “deterministic operations research models”. Topics will include: mathematical techniques of unconstrained and constrained optimization, followed by the construction, evaluation and applicability of various models in allocation, inventory, replacement, sequencing and related problems.
A continuation of SD311, with emphasis on Stochastic Operations Research Models, Topics will include: Decision making under uncertainty, Queuing models and related probabilistic techniques, feed back control, probabilistic inventory, competitive strategies and related topics.
System modelling, discrete and continuous system models; system simulation techniques, digital computer methods, fundamentals of analog computation, time and magnitude scaling; analog computer simulation methods; digital simulation of analog computers; block oriented languages; advantages and disadvantages of digital and analog simulation techniques, introduction to system simulation using hybrid computers.
The application for non-quantitative game theory to the analysis of conflict, particularly conflicts arising in the implementation of design projects, the general characteristics (through Metagame theory) and specific applied techniques for analyzing conflicts between parties each with separate objectives.
Optimum seeking methods: analysis of experimental optimum-seeking techniques. Studies include deterministic and stochastic problems. Topics include; single variable search, simultaneous and sequential search, geometry of multidimensional response surfaces and methods of steepest - ascent; regression analysis with a systematic treatment of the analysis of multiple classifications involving fixed and random effects and crossed and nested variables of classification. Applications of statistical methods to the efficient design of industrial experiments with considerations to suitability. ar
Model building techniques for analysing conflict situations, using inputs from the social sciences and operations research. FE, ce .
The man-machine-environment complex; the nature of the operational environment; neuroendocrine system and the non-specific response to stress (adaptation); specific effects, hazards, and management of specific forms of stress, e.g. acoustic noise, heat and cold, toxic materials, etc.
The man-machine interface; communication and the design of displays (visual, auditory, kinesthetic, tactile, etc.); human motor activites, speed, accuracy, strength and force; functional operation and the design of controls; illumination, colour, and design of workplaces.
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596 § 35% Physical Systems 2 (formerly SD353)
‘Department of Systems Design
The subject nratter is similar to SD252 except that the development is based on other physical systems such as structural and hydraulic systems.
State equations for two-terminal component systems; time varying and non-linear components; analytical solutions for state models, numerical and analogue methods for solution.
Techniques for tree selection, manipulation of topological information, evaluation of the exponential function of a matrix, etc. The emphasis is . on the algorithms but students will be expected to implement them on the computer. The course includes a survey of the capabilities of existing ° programmes for system analysis.
361 Systems Design Workshop 3
A continuation of the Systems Design Workshop for third year students.
362 Systems Design Workshop 4
The course focuses upon a variety of communication systems including man-man, man-machine and machine-machine systems. Various models of communication systems will be examined paying particular attention to the assumptions and situational factors upon which the models are based. Using a’systems approach such concepts as redundancy, entropy, feedback, openness-closedness, equi-finality, nonsummativity, homeostasis and stability, etc., will be examined.
A general introduction to the science of materials: so providing a basic understanding of the scientific principles involved and an introduction to the wide variety of materials available to the designer today. To demonstrate some of the important relationships existing between the structure of a material and its properties, and to consider some of the ways-in which materials are shaped, formed and fabricated into articles for our everyday use.
Component models of various electronic devices, oscillation, amplification, modulation, detection, application to instrumentation.
, 391 Systems Design Laboratory 3
The scope and limitations of thermodynamics. Macroscopic approach to “energy, work and the First Law. Introduction to statistical a * thermodynamics and the microscopic description of energy, work and ' the First Law. The fundamental energy equation. The Second Law of Thermodynamics, principle of increase of entropy, limiting cycle efficiencies, criteria for equilibrium. Thermodynamic potentials. ‘Irreversibility, friction, and availability. Phase equilibrium, phase change, | “mixtures. The steady flow energy equation and applications. The _ evaluation of state functions.
A continuation of SD291/292 for third year students.
: a # . o¢@ chats . * Department of Systems Design ' 597. * Readings suited to individual interests of the students and aimed at
solving special project problems Which the student may select.
421 Computer Aided Design (formerly SD323) 32 Macro-Economics and Public Policy (formerly SD433)
The design process; computer-oriented systern models; simulation languages for continuous and discrete systems; man-machine interaction; design of problem-oriented computer language.
The functioning of National and Regional economics. The relations between the behaviour of classes of decision-making units and the performance of the economic system. Examples of policy questions; costs and benefits of alternative methods of attaining price stability. Full employment and economic growth.
The combined use of model-building techniques and social science methods in approaching real-world problems.
Multi-terminal representations, coupled 2-terminal components, tree transformations, solution of large systems through sub-systems, two-ports and their interconnection, equivalent 2-terminal component systems.
Application of Systems theory to the problems of control. The course integrates this study with an exposition of classical control theory.
453 Power Systems 1
Applicaton of systems theory to large power distribution networks and electromechanical energy conversion systems.
Application of systems theory to the analysis of hydraulic systems; particular emphasis is given to the analysis and design of fluid _ distribution systems.
Application of Systems theory to the analysis of urban and inter-urban traffic systems and to combined air, land and sea transportation systems.
A continuation of the Systems Design Workshop for fourth year students. The emphasis will be on an individual problem chosen from the student’s technical option area.
The course encompasses the tools of communication and the nature and use of communication media. There will be a particular emphasis on those media containing a large technological component; machine-mediated human communication systems, e.g. computer graphics, film, T.V., etc.
The problems of designing a human communication system where more than one culture is involved. Anthropological, sociological, psychological, political, economic and technological aspects of such design. Environmental perception, value systems, social forms, etc.
The nature and design of machine-mediated human communication systems. Consideration will be given to displays, computer graphics, computer-aided instruction and mass communication, media (Film, T.V., radio, print). The design of new media innovation. A system approach will be adopted with special attention to the socio-economic effects of , such systems. \
Fundamental definitions, properties of circuits, paths in a graph, and Euler graphs. Properties of cutsets. Matrix representation of linear graphs and trees. Planar graphs and their duals. Nonplanar Braphs, pseudo cuts and duals. Oriented graphs.
Topological formulas for general linear systems, synthesis of communication nets, system diagnosis. Applications to switching theory, sociology, economics, etc.
Theory and application of linear programming techniques: simplex, the transportation and assignment problems, duality and degeneracy. Industrial applications ‘to production and inventory control. Selected problems from nonlinear and dynamic programming.
Applications of econometric models, regression analysis, factor analysis, statistical decision theory, and other methods and models for the policy analysis of socio-economic systems. Selected references will be assigned.
The emphasis in this course will be the use of combinatorial and graph-theoretic methods for operations research. Topics will include “Advanced PERT and CPM”, scheduling and routing, graph theoretic methods for socio-economic systems.
Theory and operation of analog computers; parallel logic; digitally simulated analog computers; introduction to hybrid computing.
A detailed study of two major simulation languages, one continuous (CSMP or equivalent) and one discrete-event (GPSS or equivalent). Simulation projects. .
The objective of the course is to study the nature, problems and techniques of planning and control. Topics: influence of forecasting, inventory managment, planning, scheduling, despatching and performance evaluation. Analytic techniques pertaining to these areas are introduced.
Industrial and Non-Industrial facilities. Networks, locational analysis, physical layout and spatial analysis, allocation of facilities, criteria for optimality, utilization and occupation, various operations research techniques for the analysis and synthesis of networks of facilities, on-the-job machine problem.
Definition of a queuing process; explicit solution of queuing problems when arrival and service distribution are exponential. Examination of special problems for general arrival and service distributions. Multiserver problems; queues in series, bulk service and other types of service discipline.
Simple dynamic models, static and dynamic Leontief systems, welfare economics, capital investment and project evaluation models, applications to problems of cost-benefit analysis and public enterprises, portfolio selection models and game theoretic models in economics.
Department of Systeme Design
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Given by a guest lecturer. The contents of this course will vary _ according to the available guest.
Effects, hazards and managment of sustained acceleration, weightlessness, vibration and impact acceleration (with specific reference to aviation, spaceflight, and automotive safety); effects, hazards, and management of exposure to low and high barometric pressure (with specific reference to human problems at altitude, and to underwater engineering).
542 Human Engineering and Systems Development 43 Human Engineering (formerly SD501) : 44 Ergonomics (formerly. SD502)
Human function in systems; man’s capacities and limitations as a component of a complex system; assignment of operations to man and machine; equipment design in relation to human capacity; training programmes, procedures, and devices; task description and analysis; analytic methods for test and evaluation in human engineering.
Man-machine systems; man-machine interface; presentation of information; design of displays and controls; workplace layout, human factors in design.
Significance of ergonomics; man-machine-environment complex; physiology of work, fatigue, and boredom; environmental factors in industry (noise, vibration, vision, illumination, heat, cold, toxic chemicals, radiation); industrial, and automotive safety.
A continuation of SD453 with emphasis on load flow, system stability, operation under imbalanced conditions, fault detection.
Presentation and discussion of appropriate and possible methods for design of systems or artifacts in which aesthetic characteristics and visual form are primary requirements of the design.
Presentation and discussion of appropriate and possible methods for the design of systems or artifacts in which manufacturing processes, material properties and distribution processes constrain the design.
Associate Professor and Director fAssociate Professor and Associate Director {Professor and Dean of Environmental Studies Associate Professor and Graduate Officer
Professors sos
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Visiting Professor
Adjunct Professor
Associate Professors t t
tAssistant Professors
Sct et tre and Regional nave School of Urban and Regional Planning L.R.G. Martin, B.A. (Queen's), M.A, M.R.P., PRD. (Syracuse), M.T-P.LC. ‘W. ‘Shalinsky, BA, BSW. (McGill), M. Se, DSW. ( Western Reserve) ~
P. H. Nash, B.A, M.A. (U.C.L.A.); CE. (Grenoble), M.C.P., M.P.A., Ph.D. (Harvard); M.T.P.1.C. G.G. Mulamoottil, B.Sc. (Mysore), M.Sc. (Bombay), Ph.D. (Dethi)
R.S. Dorney, B.Sc. M.Sc., Ph.D. (Wisconsin) L.O. Gertler, B.A. (Queen's), M.A. (Toronto), M.T.P.I.C. (on leave 1972-1974) K. Izumi, B.Arch. (Manitoba), MCP. (MLT.), M.T.P.IC., ALP. R.R. Krueger, B.A., M.A. (Western), Ph.D. (Indiana)
EA. Beecroft, B.A., M.A. (Toronto), Ph.D. (Yale)
J.A. Kennedy, B.A. (Loyola), Q.C.
T. L. Burton, B.Sc. (London), Ph.D. (London) E. M. Cartsonis, B.Arch. (Michigan), M.C.P. (Pennsylvania) J. T. Horton, B.A. (Wheaton), M.A. (Northwestern) S.G. Rich, MT:PI.C, MRALC, ARIB.A. K. S. Sayegh, B.Se. (Cairo), M.C.P., Ph.D. (Harvard), M.T.P.LC.
J.K. Gerecke, B.A. (Saskatchewan), M.A. (U.B.C.) S. Herzog, B.Arch. (Toronto)
~ C.M. Kitchen, B.4. (Queen’s), M.A. (Waterloo)
Professional Liaison Officer
N.E.P. Pressman, B.Arch. (McGill), M.Arch, (Cornell), Cert. Urban and Social Planning (Manchester), M.T.P.I.C. G. Priddle, B.A. (Western), M.A., Ph.D. (Clark) J. B. Theberge, B.Sc.4. (Guelph), M.Sc. (Toronto), Ph.D. (U.B.C.)
H. T. Lemon, M7-P.L.C. Faculty member appointed also in other Schools or Departments of the Faculty of Environmental Studies.
Course Descriptions
An introduction to the regional city; the development of contemporary planning concepts and principles; the nature, purpose and scope of urban planning; the planning process and decision-making in a democratic society. Particular atténtion is directed to methodological aspects of designing a planning programme: identification of objectives and constraints, conduct of basic surveys and analysis, plans and policies preparation, evaluation and implementation. Prerequisite: Planning students only. One three hour lecture and discussion session, (year). Instructors: Faculty.
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School of Urban and Regional Planning Ol .
An introduction to, contemporary planning ideas fot students whose subsequent work might bring them in contact with professional planners. Planning concepts and principles; the development of contemporary planning ideas; the nature, purpose and scope of urban and regional planning; the planning process and decision-making in a democratic society. Prerequisite: none. One two hour lecture and one hour discussion session, (fall and winter terms). Instructor: Rich.
Special readings and research on planning topics chosen in consultation with instructor. Prerequisite: Planning students only. (Fall and winter terms). Instructors: Faculty. Basic instruction in graphic techniques used in planning. Emphasis will
159* Graphics for Planning Env St 195* Introduction to Environmental Problems \ Note Env St 200* Field Ecology
be placed on the use of graphics for the communication of ideas. Prerequisite: Planning students only. Two hour studio, (Fall and Winter terms). Estimated cost to student: $20 Instructor: van deh Ouden.
A discussion of some major environmental problems and issues such as the population explosion, the impact of urbanization on man’s environment, environmental pollution, resource management, conservation, and environmental planning. No prerequisite. 3 hours lecture and discussion (Fall and Winter terms) Instructors: Krueger, and ES Faculty.
Students in the Faculty of Environmental Studies may take this course ¢ in their first or second year only.
To introduce the main concepts and principles of ecology as a basis for understanding the consequences of man-made changes in the natural environment. Cycling of elements, energetics and structural organization of major ecological systems; population dynamics; impact of natural resource management practices.and urban and industrial development on the environment: incorporating environmental quality considerations into development activities; “designing with nature”. Prerequisite: Geography 102*, for 2nd, 3rd and 4th year students only. 2 hours lecture, 2 hours lab (Fall and Winter terms) Instructors: Davies, George, Kitchen, Theberge oy be
Selective study of Canadian development issues pertaining to the use of land, urbanization, regional and resource development; issues will be related to the structural and functional forces that are characteristics of the major regions of Canada, e.g., Atlantic Provinces, British Columbia. Prerequisite: none. F Three hours lectures, (winter term). - Instructor: Horton.
Students may not take both Planning 222* and Geography 322*
School-of Urban and Regional Planting
An introduction to the use of audio, slide, film and television formats for project presentation on environmental issues. Students will be involved in three major productions which will stress organization, content, technique and media responsibility. ‘Prerequisite: Consent of Instructor 3 hours per week (Fall and Winter terms) Instructor: De’Ath
Sources of data for planning and their analysis. The course will emphasize the sources, methods of collection and analysis of urban and regional land-use data. Particular attention is paid to the types of land-use information essential to transporation, housing, public facilities and recreation planning. Both lecture and workshop are related to a significant problem of land-use planning in Ontario. Prerequisite: Planning 100 or consent of instructor. Two hours lectures, two hours workshop, (Winter term). Instructor: Faculty.
Design concepts in Urban and Regional Planning, illustrated by recent work, Individual and group projects in planning design in urban and regional settings, using graphic, model film and verbal presentations. Prerequisite: Planning 100, or consent of instructor. Two hours lectures, two hours studio, (year). Instructor: Herzog.
Special readings and research on planning topics chosen in consultation with the instructor. This course gives the opportunity for supervised individual reading and study of planning or related topies in which the student is particularly interested. Prerequisite: Planning 100, or consent of instructor. (Fall or Winter terms). Instructors: Faculty.
An introduction to scientific method; descriptive and inferential statistics; sampling design. The course emphasizes the methodological and interpretative problems involved in using selected quantitative methods to investighte selected environmental topics. This course is the same as Geog. 271* and M.Env. 271*. The School of Planning strongly recommends that students, who have not had Grade 13 Maths, take Math 85*. Prerequisite: only for students in General or Honours Geography, Planning, Man-Environment, or Architecture. ‘ 2 hours lecture, 1 hour lab (fali and winter terms) Instructors: Steiner, Semple
The course emphasizes programming skills as applied to environmental problems. :Cross-listed as Geography 272* and Man-Environment 272°. Prerequisite: Planning 271*, or consent of instructor. Three hours (Winter term). Instructor: Semple.
School of Urban and Regional Planning 603
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and Regional Planning design synthesis in the structuring of complex environmental problems. ty . Studies range in scope from neighbourhood design to area
redevelopment, and new towns. These will take place in a variety of
urban, metropolitan and regional contexts and be of such nature as to equip the student with an adequate conceptual framework for practice.
Prerequisite: Plan 256, or consent of instructor.
One three hour workshop, (year)
Instructors: Faculty.
Prerequisite; consent of instructor. One three hour meeting, studio/workshop, (Fall and Winter terms) Instructor: Herzog.
surveys; questionnaire design; profile data; data processing; sampling; non-survey data collection techniques; practical applications. Cross-listed as Geography 307*.
Prerequisite: Planning 271*, may be taken in 2nd or 3rd year.
Two hours lectures, one hour practical or discussion. Fall term (Planning Students only); Winter term (other students)
Instructor: Burton
underly the planning for urban areas and the location and distribution of urban settlements. The course stresses comparative analysis of urban behaviour and its reflection in urban physical forms among various cultures in both economically developed and underdeveloped regions. ‘ Prerequisite: Sociology 101*, or consent of instructor.
Three hours lectures, (Winter term). Instructor: Shalinsky
emphasis upon the use of the computer. Cross-listed as Geography 316*. Prerequisite: Planning 271*, or consent of instructor. Three hours seminar and/or tutorial, (Fall term). Instructor: Steiner.
upon social science problems. Cross-listed as Geography 317*. Prerequisite: Planning 271*, or consent of instructor. Two hours lectures, one hour practical, (Winter term). Instructor: Mitchell.
Focus on a selection of techniques from gravity models, linear programming, nearest neighbour analysis, Markov chain analysis, graph theory, simulation and trend surface analysis. Cross-listed as Geography
Three hours lectures, (Winter term). Instructors: Bryant and Walker.
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