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STATISTICS
STAT 200s
STAT 202 LEC,TUT 0.50
Course ID: 008859
Introductory Statistics for Scientists
Elementary probability, populations, samples and distributions with biological examples. Methods for data summary and
presentation. Estimation, hypothesis testing, two−sample techniques and paired comparisons, regression, correlation. [Offered:
F,W]
Prereq: Science students only.
Antireq: STAT 204, 220; (for Arts and Environmental Studies students) ARTS 280, BIOL 460, ECON 221, ENVS 271, 277,
278, ISS 250A/B, 250R, KIN 222, PSCI 214, PSYCH 292, REC 371, 371A, SOC 280,STAT 204,206,211,221,231,241
STAT 206 LEC,TUT 0.50
Course ID: 010128
Statistics for Software Engineering
Empirical problem solving in software engineering. Measures of software reliability, maintainability and performance.
Variation in software performance. Modelling structure and variation. Confidence intervals and hypothesis tests. Comparative
studies and regression models. [Offered: F]
Prereq: MATH 115, 138; Software Engineering students only.
Antireq: (for Arts and ENVS students)ARTS 280, BIOL 460, ECON 221, ENVS 271, 277, 278, ISS 250A/250B, 250R, KIN 222,
PSCI 214, PSYCH 292, REC 371, 371A, SOC 280, STAT 202, 204, 211, 221, 231, 241
STAT 211 LEC,TUT 0.50
Course ID: 008861
Introductory Statistics and Sampling for Accounting
Descriptive statistics, probability, discrete and continuous random variables. Sampling distributions and simple hypothesis
testing. Introduction to survey sampling. [Offered: F]
Prereq: MATH 109; Arts/Acc and SciBiotech/CA students only.
Antireq: (for Arts and Env Studies students only) BIOL 460,ECON 221,ENVS 271,277,278,ISS 250A/B,250R,KIN 222,PSCI
214,PSYCH 292,REC 371,371A,SOC 280,STAT 202,204,206,221,231,241
STAT 220 LEC,TST,TUT 0.50
Course ID: 008862
Introduction to Statistical Methods 1
What is Statistics? Introduction to measurement. Pictorial and tabular methods. Numerical data summaries. Continuous
distributions. Normal and exponential distributions. Behaviour of sample averages. Counting arguments. Discrete probability.
Binomial and hypergeometric distributions. Sample surveys. Relationships. [Offered: F]
Prereq: MATH 107 or 117 or 127 or 137/147; Not open to Honours Mathematics students.
Antireq: STAT 230/240
Also offered by Distance Education
STAT 221 LEC,TST,TUT 0.50
Course ID: 008863
Introduction to Statistical Methods 2
Geometric, negative binomial and Poisson distributions. Industrial problem solving using statistical methods. Tests of
significance. Linear regression. [Offered: W]
Prereq: STAT 220; Not open to Hons Math students.
Antireq: STAT 231/241; (for Arts &ENVS students) ARTS 280, BIOL 460, ECON 221, ENVS 271, 277, 278, ISS 250A/B,
250R, KIN 222, PSCI 214, PSYCH 292, REC 371, 371A, SOC 280, STAT 202, 204, 206,211,231, 241
Also offered by Distance Education
STAT 230 LEC,TST,TUT 0.50
Course ID: 008864
Probability
The laws of probability, discrete and continuous random variables, expectation, central limit theorem.
[Note: STAT 230 is normally taken in second year. Students with an average of at least 80% in Honours Mathematics courses
in 1A may enrol in STAT 230 in 1B. Offered at St. Jerome's University in the Fall term. Offered: F,W,S]
Prereq: MATH 137/147; Honours Mathematics or Mathematical Physics students only.
Coreq: MATH 138/148.
Antireq: STAT 220, 240
Also offered at St. Jerome's University
STAT 231 LEC,TST 0.50
Course ID: 008865
Statistics
Empirical problem solving, measurement systems, causal relationships, statistical models, estimation, confidence intervals,
tests of significance.
[Note: Offered at St. Jerome's University in the Winter term. Offered: F,W,S]
Prereq: MATH 138/148 &STAT 230/240; Hon Math or Math Phys
Antireq: STAT 221,241;(for Arts &ENVS students) ARTS 280,BIOL 460,ECON 221, ENVS 271,277,278,ISS 250A/B,250R,KIN
222,PSCI 214, PSYCH 292,REC 371,371A,SOC 280,STAT 202,204,206,211, 221,241
Also offered at St. Jerome's University
STAT 240 LEC,TST 0.50
Course ID: 008866
Probability (Advanced Level)
STAT 240 is an advanced−level enriched version of STAT 230.
[Note: STAT 240 is normally taken in second year. Students with an average of at least 80% in Honours Mathematics courses
in 1A may enrol in STAT 240 in 1B. Students with a cumulative math average of at least 80% are encouraged to register in
STAT 240. Offered: W]
Prereq: MATH 137/147; Honours Mathematics students only.
Coreq: MATH 138/148.
Antireq: STAT 220, 230
STAT 241 LEC,TST,TUT 0.50
Course ID: 008867
Statistics (Advanced Level)
STAT 241 is an advanced−level enriched version of STAT 231.
[Note: Students with a cumulative math average of at least 80% are encouraged to register in STAT 241. Offered: F]
Prereq: MATH 138/148 and STAT 230/240; Hon Math only.
Antireq: STAT 221, 231; (for Arts &ENVSstudents)ARTS 280, BIOL 460, ECON 221, ENVS 271,277,278, ISS 250A/B,250R,
KIN 222, PSCI 214, PSYCH 292, REC 371, 371A, SOC 280, STAT 202, 204, 206, 211, 221
STAT 300s
STAT 316 LAB,LEC 0.50
Course ID: 004384
Introduction to Statistical Problem Solving by Computer
This is an applications oriented course which prepares the nonmathematical student to use the computer as a research tool.
Topics include aids for statistical analysis and the preparation of documents such as reports and theses. The course provides
sufficient background for application to other problems specific to the individual's field.
[Note: Lab is not scheduled and students are expected to find time in open hours to complete their work. Offered: W]
Prereq: One of ECON 221, ENVS 278, ISS 250R, KIN 222, PSCI 214, PSYCH 292, REC 371, SOC 280, any STAT course; Not
open to Honours Mathematics students.
Antireq: STAT 304, 324, 331, 361, 371
STAT 322 LEC,TUT 0.50
Course ID: 008871
Sample Surveys and Study Design
Planning sample surveys; simple random sampling; stratified sampling. Observational and experimental studies. Blocking,
randomization, factorial designs. Analysis of variance. Applications of design principles. [Offered: F]
Prereq: STAT 221 or 231/241; Not open to Honours Mathematics students.
Antireq: STAT 332, 362; (for Arts and Environmental Studies students) BIOL 461, PSYCH 391, STAT 430
STAT 324 LAB,LEC 0.50
Course ID: 011041
Statistical Methods and Computing
Statistical reporting using a software package for statistical calculations; numerical and graphical summaries, contingency
tables, significance tests and confidence intervals; regression methods; analysis of data from comparative studies. [Offered:
W]
Prereq: One of ARTS 280, ECON 221, ENVS 278, ISS 250R, KIN 222, PSCI 214, PSYCH 292, REC 371, SOC 280, STAT 202,
221, 231/241; Not open to Honours Mathematics students.
Antireq: CS/STAT 316, STAT 304, 331, 361, 371
STAT 330 LEC,TUT 0.50
Course ID: 008872
Mathematical Statistics
Maximum likelihood estimation. Random variables and distribution theory. Generating functions. Functions of random
variables. Limiting distributions. Large sample theory of likelihood methods. Likelihood ratio tests.
[Note: Offered at St. Jerome's University in the Fall term. Offered: F,W,S]
Prereq: MATH 237/247, STAT 231/241; Not open to General Mathematics students.
Antireq: STAT 334
STAT 331 LAB,LEC,TUT 0.50
Course ID: 008873
Applied Linear Models
Modeling the relationship between a response variable and several explanatory variables (an output−input system) via
regression models. Least squares algorithm for estimation of parameters. Hypothesis testing and prediction. Model diagnostics
and improvement. Algorithms for variable selection. Nonlinear regression and other methods. [Offered: F,W,S]
Prereq: MATH 235/245, (STAT 231/241 or SYDE 214).
Antireq: ECON 321, STAT 304, 311, 324, 361, 371, 373, SYDE 334
STAT 332 LEC,TUT 0.50
Course ID: 008874
Sampling and Experimental Design
Designing sample surveys. Probability sampling designs. Estimation with elementary designs. Observational and experimental
studies. Blocking, randomization, factorial designs. Analysis of variance. Designing for comparison of groups. [Offered: F,S]
Prereq: STAT 231/241 or SYDE 214; Not open to General Mathematics students.
Antireq: STAT 322, 362, 371
STAT 333 LEC,TUT 0.50
Course ID: 008875
Applied Probability
Review of basic probability. Generating functions. Theory of recurrent events. Markov chains, Markov processes, and their
applications. [Offered: F,W,S]
Prereq: STAT 230/240 or SYDE 213; Level at least 3A; Not open to General Mathematics students.
Antireq: STAT 334
STAT 334 LEC,TUT 0.50
Course ID: 012662
Probability Models for Business and Accounting
Random variables and distribution theory, conditional expectations, moment and probability generating functions, change of
variables, random walks, Markov chains, Markov processes. [Offered F,S]
Prereq: MATH 237/247, STAT 231/241; Business/Math double degree, Mathematics/Accounting or Math/Business students
only.
Antireq: STAT 330, 333
STAT 340 LAB,LEC 0.50
Course ID: 004408
Computer Simulation of Complex Systems
Building and validation of stochastic simulation models useful in computing, operations research, engineering and science.
Related design and estimation problems. Variance reduction. The implementation and analysis of simulation results. [Offered:
W,S]
Prereq: (One of CS 126/124, 116, 134, 136, 138, 145, SYDE 221/322) and (STAT 231/241 or SYDE 214); Not open to
Computer Science or General Mathematics students.
Antireq: CM 361/STAT 341, CS 457
(Cross−listed with CS 437)
STAT 341 LAB,LEC 0.50
Course ID: 011431
Computational Statistics and Data Analysis
Approximation and optimization of noisy functions. Simulation from univariate and multivariate distributions, multivariate
normal distribution, mixture distributions and introduction to Markov Monte Carlo. Introduction to supervised statistical
learning including discrimination methods. [Offered: F,S]
Prereq: MATH 237/247, STAT 231/241; Not open to General Mathematics students.
Antireq: CS 437/STAT 340
(Cross−listed with CM 361)
STAT 361 LAB,LEC,TUT 0.50
Course ID: 008878
Applied Linear Models for Business and Accounting
Practical and theoretical aspects of simple and multiple regression models. Model fitting and testing. Model building. Analysis
of variance. Applications to problems in business and accounting. [Offered: F,S]
Prereq: MATH 235/245 and STAT 231/241; Math/Business, Business/Math double degree or Math/Accounting students only.
Antireq: ECON 321, STAT 304, 311 324, 331, 371, 373
STAT 362 LEC,TUT 0.50
Course ID: 011043
Sampling and Design Techniques for Business and Accounting
Design of economic, business and social surveys. Elementary probability sampling designs and estimation. Observational and
experimental studies. Principles of design of experiments. Application to problems in business and accounting. [Offered: F]
Prereq: STAT 231/241; Math/Business, Business/Math double degree or Math/Accounting students only.
Antireq: STAT 322, 332, 371
STAT 371 LEC,TUT 0.50
Course ID: 011723
Statistics for Business 1
Applications of regression models to business problems; model building, fitting and assessment. Applications of sample
surveys to business; design and analysis of surveys; management of sample and non−sample error. [Offered: F,S]
Prereq: MATH 235/245, STAT 231/241; Business/Math double degree or Math/Accounting or Math/Business students only.
Antireq: ECON 321, STAT 331, 332, 361, 362, 373
STAT 372 LEC,TUT 0.50
Course ID: 011724
Statistics for Business 2
Analysis of time series data in business; adjustment and over−adjustment; forecasting using simple models. Process thinking
and improvement; design and analysis of process investigations. [Offered: F,W]
Prereq: STAT 371; Business/Math double degree or Math/Accounting or Math/Business students only.
Antireq: STAT 373
STAT 373 LEC,TUT 0.50
Course ID: 012225
Regression and Forecasting Methods in Finance
Application of regression and time series models in finance; multiple regression; algebraic and geometric representation of
least squares; inference methods − confidence intervals and hypothesis tests, ANOVA, prediction; model building and
assessment; time series modeling; autoregressive AR(1) models − fitting, assessment and prediction; moving average
smoothing, seasonal adjustment; non−stationarity and differencing. [Offered: F]
Prereq: STAT 231/241; Computing &Financial Management students and Mathematics/Accounting students who began F06
or later.
Antireq: STAT 331, 361, 371, 372, 443
STAT 400s
STAT 430 LEC,TUT 0.50
Course ID: 008880
Experimental Design
Review of experimental designs in a regression setting; analysis of variance; replication, balance, blocking, randomization,
and interaction; one−way layout, two−way layout, and Latin square as special cases; factorial structure of treatments;
covariates; treatment contrasts; two−level fractional factorial designs; fixed versus random effects; split−plot and
repeated−measures designs; other topics. [Offered: F,S]
Prereq: STAT 372 or ((one of STAT 331, 361) and (one of STAT 332, 362)); Not open to General Mathematics students.
Antireq: (for Arts and Environmental Studies students) BIOL 461, PSYCH 391, STAT 322
STAT 431 LEC 0.50
Course ID: 008881
Generalized Linear Models and their Applications
Review of the normal linear model and maximum likelihood estimation; regression models for binomial, Poisson and
multinomial data; generalized linear models; and other topics in regression modelling. [Offered: F]
Prereq: STAT 330, (331 or 371); Not open to General Mathematics students
STAT 433 LEC 0.50
Course ID: 008882
Stochastic Processes
Point processes. Renewal theory. Stationary processes. Selected topics. [Offered: F]
Prereq: STAT 333; Not open to General Mathematics students
STAT 435 LEC,TUT 0.50
Course ID: 011042
Statistical Methods for Process Improvements
Statistical methods for improving processes based on observational data. Assessment of measurement systems. Strategies for
variation reduction. Process monitoring, control and adjustment. Clue generation techniques for determining the sources of
variability. Variation transmission. [Offered: W]
Prereq: STAT 332 or 362 or 372; Not open to General Mathematics students
STAT 440 LEC 0.50
Course ID: 008883
Computational Inference
Introduction to and application of computational methods in statistical inference. Monte Carlo evaluation of statistical
procedures, exploration of the likelihood function through graphical and optimization techniques including EM.
Bootstrapping, Markov Chain Monte Carlo, and other computationally intensive methods. [Offered: W]
Prereq: CM 361/STAT 341 or CS 437/STAT 340; Not open to General Mathematics students
(Cross−listed with CM 461)
STAT 441 LEC 0.50
Course ID: 008884
Statistical Learning − Classification
Given known group membership, methods which learn from data how to classify objects into the groups are treated. Review
of likelihood and posterior based discrimination. Main topics include logistic regression, neural networks, tree−based methods
and nearest neighbour methods. Model assessment, training and tuning. [Offered: F]
Prereq: CM 361/STAT 341 or (STAT 330 and 340); Not open to General Mathematics students
(Cross−listed with CM 463)
STAT 442 LAB,LEC 0.50
Course ID: 011434
Data Visualization
Visualization of high dimensional data including interactive methods directed at exploration and assessment of structure and
dependencies in data. Methods for finding groups in data including traditional and modern methods of cluster analysis.
Dimension reduction methods including multi−dimensional scaling, nonlinear and other methods. [Offered: F]
Prereq: STAT 231/241; Not open to General Mathematics students
(Cross−listed with CM 462)
STAT 443 LEC,TUT 0.50
Course ID: 008885
Forecasting
Model building. Multiple regression and forecasting. Exponential smoothing. Box−Jenkins models. Smoothing of seasonal
data. [Offered: F,W,S]
Prereq: STAT 331 or 361 or 371 or SYDE 334; Not open to General Mathematics students.
Antireq: STAT 373
STAT 444 LAB,LEC 0.50
Course ID: 011436
Statistical Learning − Function Estimation
Methods for finding surfaces in high dimensions from incomplete or noisy functional information. Both data adaptive and
methods based on fixed parametric structure will be treated. Model assessment, training and tuning. [Offered: W]
Prereq: CM 361/STAT 341 or STAT 331 or 361 or 371; Not open to General Mathematics students
(Cross−listed with CM 464)
STAT 446 LEC,TUT 0.50
Course ID: 003305
Mathematical Models in Finance
Mathematical techniques used to price and hedge derivative securities in modern finance. Modelling, analysis and
computations for financial derivative products, including exotic options and swaps in all asset classes. Applications of
derivatives in practice. [Offered: F,W]
Prereq: (AFM 372/ACTSC 391 or (ACTSC 231 and 371) or (ACTSC 231 and BUS 393W)), (STAT 333 or 334); Not open to
General Mathematics students.
Antireq: BUS 423W, ECON 372
(Cross−listed with ACTSC 446)
STAT 450 LEC,TUT 0.50
Course ID: 008888
Estimation and Hypothesis Testing
Discussion of inference problems under the headings of hypothesis testing and point and interval estimation. Frequentist and
Bayesian approaches to inference. Construction and evaluation of tests and estimators. Large sample theory of point
estimation. [Offered: W]
Prereq: STAT 330; Not open to General Mathematics students
STAT 454 LEC 0.50
Course ID: 008890
Sampling Theory and Practice
Sources of survey error. Probability sampling designs, estimation and efficiency comparisons. Distribution theory and
confidence intervals. Generalized regression estimation. Software for survey analysis. [Offered: W]
Prereq: STAT 332 or 362 or 371; Not open to General Mathematics students
STAT 464 LEC 0.50
Topics in Probability Theory
Prereq: STAT 333; Not open to General Mathematics students
Course ID: 008891
STAT 466 LEC 0.50
Course ID: 008892
Topics in Statistics 1
Prereq: STAT 330, 331; Not open to General Mathematics students
STAT 467 LEC 0.50
Course ID: 008893
Topics in Statistics 2
Prereq: Not open to General Mathematics students
STAT 468 RDG 0.50
Course ID: 008894
Readings in Statistics 1
Prereq: Not open to General Mathematics students
STAT 469 RDG 0.50
Readings in Statistics 2
Prereq: Not open to General Mathematics students
Course ID: 010728