26 courses in the 1986–87 Undergraduate Calendar, read from the scanned original. The text comes from OCR, so check the scanned page before relying on a detail.
Course Descriptions —
Courses not offered in the current academic year are listed at the end of this section. °
Introductory Note
The following courses are. offered in conjunction with the Division of Mathe - matics for industry and Commerce: STAT 331, 332, 333, 335, 371, 443
Elementary probability; populations, samples and distributions with biological - examples. Methods for data summary and presentation including an introduction to interactive programming. Estimation, hypothesis testing, two-sample techniques and paired comparisons. Contingency tables. .
For Science students only.
Descriptive statistics. Probability, random variables, discrete and continuous distributions. Estimation and hypothesis testing, goodness of fit.
For Science students only.
Probability theory; discrete and continuous random variables. Expectation. Prareg: MATH 130b Not open to Honours Mathematics Students. Antireq: STAT 230
Tests of significance, maximum likelihood estimation and large sample theory; estimation and testing in the normal distribution. Correlation, regression and the method of least squares.
Prereq: STAT 220 —
Not open to Honours Mathematics students.
Antireq: STAT 231
The laws of probability, discrete and continuous’ random variables, expectation, central limit theorem.
Prereq: MATH 1308
Antireq: STAT 220
Also offered at St. Jerome's College
Estirnation, tests of significance, prob- , ability plots. Contingency tables, normal distribution theory, simple linear regres: sion.
Antireq: STAT 221
Also offered at St. Jerome's College
Linear regression. Introduction to the design of experiments. Completely randomized and randomized block designs. Analysis of variance. ~ Prereq: STAT 202 or 204
For Science students only.
Review of tests of significance, confi-
‘dence intervals, and properties of the
normal distribution. Normal linear models. Elementary sampling theory. Prereq: A one-term course in statistics or probability Open only to students in Honours Arts Accounting Programs.
Review of normal theory. Normal linear models. Variable selection. Weighted least squares. Non-normal models. Prereq: STAT 221 Not open to Honours Mathematics students. Antirea: STAT 331
The planning of surveys: simple random sampling; stratified sampling; ratio and . differencé estimators; cluster and systematic sampling.
Prereq: STAT 221
Not open to Honours Mathematics students \
Antireq: STAT 332
Random variables and distribution
theory. Functions of randor variables.
Limiting distributions. Hypothesis testing.
Estimation. Large sample theory. Prereq: STAT 231, MATH 2308
Review of normal theory. The muitivariate normal distribution. Normal linear models. Variable selection. Extensions to weighted least squares and non-normal models. Prereq: STAY 231, MATH 234A Antireq: STAT 321
Introduction to survey sampling of popu-
lations. Elementary sampling designs.
Efficiency. comparisons for sampling
designs and estimation procedures. Prereq: STAT 231 orghe equivalent Antireg: STAT 322 .
Review of basic probability. Generating.
functions. Theory of recurrent events.
Markov chains, Markov processes, and
their applications. : Prereq: STAT 230
Philosophy of process control. Control charts and their application. Acceptance sampling. Sequential methods in . process control. Assessing the cost of quality. Introduction to experimental design.
Prereq: One of STAT 231, M SCI 257, ME 202, § D 214 or permission of the . instructor
An introduction to the use of probabilistic models in operations research. Techniques and applications of queueing theory, inventory theory and reliability theory.
Prereq: STAT 333
Introduction to designed experiments. Basic experimental designs. Factorial arrangement of treatments. Confounding and fractional replication. Selected topics.
Prereq: STAT 337 or consent of instructor
Review of the normal linear modet; response surface methodology; nonlinear normal models; linear models for. binary data and cross-classification: log linear models for contingency tables; selected topics.
Prereq: STAT 331
Paint processes. Renewal theory.
Stationary processes. Selected topics. Prereq: STAT 333 or consent of
instructor
STAT 440°F 3G 08... Statistical Computing
Problems associated with the analysis of stochastic systems and statistical data by computer; simulation techniques.
__numerical algorithms, programming for
statistical problems and statistical pack-
\
Prereq: STAT 331
Model building. Multiple regression and “forecasting. Exponential smoothing. Box-Jenkins models. Smoothing of seasonal data.
>. Prereq: STAT 331 of permission of
instructor
STAT 444 W: 3005
An Introduction to Econometrics
Description and anatysis of econometric
models such as autoregressive models.
lag models, models with errors in vari-
ables, simultaneous equations models. Prereq: STAT 331 .
Discussion of general inference problems under the headings of point and interval estimation, hypothesis testing and decision theory. Large sample normal likelihoods, maximum likelihood - estimation, theory of UMV estimation, least squares, Neyman-Pearson theory of hypothesis testing. _
” Prereq: STAT 330
Prereq: STAT 333 or consent of instructor \ May not be offered 1986-87.
Prereq: STAT 330/331. or consent of instructor
May not be offered 1986-87
Course Descriptions 16.109 * Mathematics: Statistice
May not be offered 1988-87.
COURSES NOT OFFERED 1986-87
~ STAT 454 Sampling Theory and Prac-
tice
Department of
Mechanical
Engineering
Professor, Chairman of the Department H.W. Kerr, BASc, MASc, PhD (Toronto), PEng “. a
Professor, Vice President Academic T.A. Brzustowski, BASc (Toronto), AM, PhD (Princeton), PEng
Professor, Associate Dean, Graduate
Studies, Faculty of Engineering
A. Plumtree, BSc, PhD (Nottingham), PEng, CEng, FM
Professor, Associate Chairman Graduate
Studies
P.R. Slawson,. BASc, MASc, PhD (Waterloo), PEng -
Professor, Associate Chairman
Undergraduate Studies
G.E. Schneider, BASe, MASc, PhD (Waterloo) .
Professor, Director, Office of Research
Administration
E.L. Holmes, BSc (Bristal), MASc, PhD (Toronto), PEng
Professors.
K.G. Adams, BSc (Queen's), MASc, PhD (Waterloo), PEng
G.M. Bragg, BASc (Toronto), PhD (Cambridge), PEng
E. Brundrett, BSA (Ontario Agricultural College), & BASc, MASc, PhD D (Toronto) -PEng
D.J. Burns, 8Sc, PhD D (Bisto PEng, CEng
R.N. Dubey, BSc (Hons), (Patna), BSc (Eng) (Bihar), PhD (Waterloo), PEng
D. French, 8S¢ (Aston), CEng, PEng
16.110 Course Descriptions
K.G.T. Hollands, BASc (Toronfo), PhD . (MeGiil), PEng
JH.G. Howard, BSc (Queer's), MSC, PhD (Birmingham), PEng ©
W.H. Hui,’ BSe (Peking), PhD, DSc (Southampton)
H.H.E. Leiphoiz,? Dip! Eng, Dr ing.
' ” Docent Habil (Stuttgart), FRSC, PEng, Recipient of the Distinguished | Teacher Award.
H.R. Martin, BSc, MSc (Queen's Belfast), PhD (Nottingham), OSe (Queer’s » Belfast), PEng
P. Niessen, BSc (McMaster), MASc, PhD
(Toronto), PEng '
GF. Pearce, BASc (British Columbia), MASc (Toronto), PEng
RJ. Pick, BASc (Bnitish Columbia), MSc (imperial College), PhD (Waterloo), FEng
GD. Raithby, BESc, MESe (Westem Ontario), PhD (Minnesota), PEng, Recipient of the Distinguished Teacher Award.
J.A. Schey, Dip! ing, CSc (Budapest), PEng
Y.A. Stepanenko, (Moscow inst. Machine Tool Eng’ g), PhD (Engineering Research inst., Moscow)
A.B. Strang, BASe (Waterloo), MSc (London), PhD (Waterloo), PEng
HF. Sullivan, BASc (Waterloo), AM, PhD (Princeton), PEng.
J. Thoma, Dip! Phys, Dr Sc Tech, (Swiss Federal Institute of Technology) .
MM. Yovanovich, BSc (Queen's), MS (Butfalo), ME, ScD (Massachusetts institute of Technology)
Associate Professors |
G.C. Andrews, BASc, MASc (British Columbia), PhD (Waterloo), PEng
G.A. Davidson, BASc, PhD (Toronto), PEng.
AM. Hale, BSc, MA (New Brunswick), BASce (Tevonto), MASc, PhO (Waterloo), PEng
U.H. Mohaupt, BASc, MASc, PhD (Waterloo), PEng
Assistant Professors
RA. Hoff, BASc, MASc. (Waterioo), PhD (Vanderbilt), NSERC University Research Fellow, PEng
JA. Huissoon, 8Sc, PhD (Trinity College, Dublin)
F.M. Ismail, BSc, MSc (Alexandria), PhD (McMaster)
J.B. Medley, BASc, MASc (Waterioo), PhD (Leeds), PEng
M. Renksizbulut, BSc (Robert), MSc (Middle East Technical), PhD (North westem), PEng
G.D. Stubley, BASce (Waterloo), MSc (Stanford), PhD (Waterloo), PEng.
R. Varin, MSc, PhD (Warsaw Technical)
D. Weckman, BASc, MASc, PhD- (Waterloo), PEng
Adjunct Professors
C. Beingessner, BSc, MASc, PhD (Toronto), PEng
R.G.R. Lawrence, QC
K. Piekarski, Dip! ing (London), PAD (Cambridge), PEng
Faculty Members holding cross
appointments, to Mechanical Engineering from: .
Applied Mathematics
Civil Engineering
Introductory Notes
1. All courses extend over 1 term only, and consist of 3 hours of lectures: per week unless otherwise specified.
2 in general, the only prerequisites are the core courses, unless otherwise - specified.
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Course Descriptions