33 courses in the 1984–85 Undergraduate Calendar, read from the scanned original. The text comes from OCR, so check the scanned page before relying on a detail.
Elementary probability, populations, samples and distributions with biological examples. Methods for data summary and presentation including an introduction to interactive programming. Estimation, hypothesis testing, twosample techniques and paired comparisons. Contingency tables.
For Science students only.
Sciences 1. . Descriptive statistics. Probability, random variables, discrete and continuous distributions. Estimation and hypothesis testing, goodness of fit.
For Science students only.
Laws of probability. Discrete and continuous random variables. Uniform, binomial, Poisson, normal distributions. Sampling from a normal population. Student-t, chi-square, F distributions. Estimation and hypothesis testing. Simple linear regression.
Prereq: MATH 110a/b
For students in Mechanical Engineering.
Cross-listed as M SCI 21.
Probability theory, discrete and continuous random variables. Expectation.
Prereq: MATH 130b
Not open to Honours Mathematics students.
Credit will be given for only 1 of STAT 220, 230.
Tests of significance, maximum : likelinood estimation and large sample theory; estimation and testing in the normal distribution. Correlation, tegression and the method of least Squares.
Prereq: STAT 220
Not open to Honours Mathematics students.
Credit will be given for only 1 of STAT 221, 231. ‘
The laws of probability, discrete and continuous random variables, expectation, central limit theorem. Prereq: MATH 130b Credit will be given for only 1 of STAT 220, 230.
Estimation, tests of significance, probability plots. Contingency tables, normal distribution theory, simple linear regression. Prereq: STAT 230, MATH 230a Credit will be given for only 1 of STAT 221, 231.
The design of surveys of human or natural populations for research and planning. How to take a representative sample; efficient estimation of population quantities and sample size determination; ways of reducing response bias.
Prereq: An introductory half course in statistics
Cannot be taken for credit toward a BMath degree.
May not be offered in 1984-85.
Linear regression. Introduction to the design of experiments. Completely randomized and randomized block designs. Analysis of variance. Nonparametric statistics.
Prereq: STAT 202 or 204
For Science students only.
Review of tests of significance, confidence 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.
Random variables and distributions. Transformations. Estimation. Testing hypotheses. Large sample theory and maximum likelihood. Prereq: STAT 221 and MATH 220b Not open to Honours Mathematics students. : Credit will be given for only 1 of STAT 320, 330.
Course Descriptions Statistics
Review of normal theory. Normal linear models. Variable selection. Weighted least squares. Non-normal models.
Prereq: STAT 221
Not open to Honours Mathematics students.
Creait will be given for only 1 of STAT 321, 331.
Random variables and distribution theory. Functions of random variables. Limiting distributions. Hypothesis testing. Estimation. Large sample theory. Prereq: STAT 231 and MATH 230b Credit will be given for only 1 of STAT 320, 330.
Review of normal theory. The multivariate normal distribution. Normal linear models. Variable selection. Extensions to weighted least squares and non-normal models. Prereq: STAT 231 and MATH 234a Credit will be given for only 1 of STAT 321, 331.
Introduction to survey sampling of populations. Elementary sampling designs. Efficiency comparisons for sampling designs and estimation procedures. Prereq: STAT 221 or the equivalent Credit will be given for only 1 of STAT 332, 454.
Review of basic probability. Generating functions. Theory of recurrent events. Markov chains, Markov processes, and their applications.
Introduction to designed experiments. _ Basic experimental designs. Factorial arrangement of treatments. Confounding and fractional replication. Selected topics.
Prereq: STAT 331 or consent of instructor
Selected topics in the design and analysis of experiments.
Prereq: STAT 430
May not be offered in 1984-85.
Statistics
Computing and statistical problems involved with the analysis of data. Discussion of statistical program packages applied to a selection of analysis techniques. .
Prereq: STAT 331
a
Point processes. Renewal theory.
Stationary processes. Selected topics. Prereq: STAT 333 or consent of
instructor
The decision problem. Bayesian and classical analyses. Acceptance sampling. Sequential procedures. An introduction to the statistical aspects of quality control.
Prereq: STAT 320 or 330
Made! building. Multiple regression and
forecasting. Exponential smoothing. Box- Jenkins models. Smoothing of seasonal
data. .
Prereq: STAT 321 or 331
Survey and analysis of typical statistical models in Economics and the Social Sciences. Review of regression analysis. Extensions of the linear model. Specification errors. Time series and forecasting.
Prereq: STAT 331
May not be offered in 1984-85.
Prereq: STAT 444 May not be offered in 1984-85.
Discussion of general inference Problems under the headings of point and interval estimation, hypothesis testing and decision theory. Large sample normal likelihoods, maximum likelinood estimation, theory of UMV estimation, least squares, Neyman- Pearson. theory of hypothesis testing. Prereq: STAT 330
Logic of tests of significance; exact tests and confidence intervals; normal approximations accurate for small samples and relationship to the normality of the likelihood function. Introduction to problems involving more than one parameter.
Prereq: STAT 450 or consent of instructor
Introduction to sample theory and practice. Elementary sampling and designs and estimation procedures. Statistical inference in survey sampling. Interrelationships between survey sampling and the design of experiments.
Prereq: STAT 331; STAT 330 is recommended
Credit will.be given for only 1 of STAT 332, 454.
A continuation of STAT 454. May not be offered in 1984-85.
Prereq: STAT 333 or consent of instructor . May not be offered 1984-85.
Prereq: STAT 330/331 or consent of instructor
May not be offered 1984-85. -
May not be offered 1984-85.
16.105
Department of Mechanical Engineering
Professor, Chairman of the Department H.W. Kerr, BASc, MASc, PhD (Toronto), PEng
Professor, Vice President Academic T.A. Brzustowski, BASc (Toronto), AM, PhD (Princeton), PEng
Professor, Associate Chairman Graduate
Studies
P.R. Slawson, BASce, MASc, PhD (Waterloo), PEng
Professor, Associate Chairman
Undergraduate Studies
J.H.G. Howard, BSe (Queen's), MSc, PhD (Birmingham), PEng
Professor, Director, Office of Research E.L. Holmes, BSc (Bristol), MASc, PhD (Toronto), PEng
Professors.
G.M. Bragg, BASc (Toronto), PhD (Cambridge), PEng
E. Brundrett, BSA (Ontario Agricultural College), BASc, MASc, PhD (Toronto), PEng
D.J. Burns, BSc, PhD (Bristol), PEng, CEng
R.N. Dubey, BSc (Hons), (Patna), BSc (Eng) (Bihar), PhD (Waterloo), PEng
D. French, BSc (Aston), CEng, PEng
K.G.T. Hollands, BASc (Toronto), PhD (McGill), PEng
H.R. Martiri, BSc, MSc (Queen's Belfast), PhD (Nottingham), DSc (Queens Belfast), PEng
P. Niessen, BSc (McMaster), MASc, PhD (Toronto), PEng
GF. Pearce, BASc (British Columbia), MASc (Toronto), PEng .
R.J. Pick, BASe (British Columbia), MSc (imperial College), PhD (Waterloo), PEng
A. Plumtree, BSc, PAD (Nottingham), PEng, CEng, FIM
G.D. Raithby, BESc, MESc (Western Ontario), PhD (Minnesota), PEng, Recipient of the Distinguished Teacher Award .
JA. Schey, Dipl ing, CSc (Budapest), PEng
A.B. Strong, BASc (Waterloo), MSc (London), PhD (Waterloo), PEng
J. Thoma, Dipi Phys, Dr Se Tech, (Swiss Federal Institute of Technology)
M.M. Yovanovich, BSc (Queen's), MS (Buffalo), ME, ScD (Massachusetts institute of Technology)
Associate Professors
K.G. Adams, BSc (Queen's), MASc, PhD (Waterloo), PEng
G.C. Andrews, BASc, MASc (British Columbia), PhD (Waterloo), PEng
G.A. Davidson, BASc, PhD (Toronto), PEng
A.M. Hale, BSc, MA (New Brunswick), BASe (Toronto), MASc, PhD (Waterloo), PEng
U.H. Mohaupt, BASc, MASc, PhD (Waterloo), PEng
G.E. Schneider, BASc, MASc, PhD (Waterloo)
H.F. Sullivan, BASc (Waterloo), AM, PhD (Princeton), PEng
Assistant Professors
F.M. Ismail, BSc, MSc (Alexandria), PhD (McMaster)
J.B. Medley, BASc, MASc (Waterloo), PhD (Leeds), PEng
M. Renksizbulut, BSc (istanbul), MSc (Middle East Technical), PhD (Northwestern)
GD. Stubley, BASc (Waterloo), MSc (Stanford), PhD (Waterloo), PEng
R. Varin, MSc, PhD (Warsaw Technical)
D. Weckman, BASc, MASc, PhD (Waterloo)
Adjunct Professors
C. Beingessner, BSc, MASc, PhD (Toronto), PEng
J.W. Church, BSc (Queen's), MASc (Toronto), PEng.
R.G.R. Lawrence, QC
K. Piekarski, Dipi ing (London), PhD (Cambridge), PEng
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.
Course Descriptions