Course Descriptions - Undergraduate Calendar 2011-2012

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STAT 200s


STAT 202 LEC,TST,TUT 0.50Course 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 or Knwldge Integ students only.
Antireq: STAT 204, 220; (for Arts and ENVS students) ARTS 280, ECON 221, ENVS 278, ISS/SWREN 250A/B/R, KIN 222, PSCI 214/314, PSYCH 292, REC 371, SMF 230, SOC/LS 280, STAT 202, 206, 211, 221, 231, 241

STAT 206 LEC,TUT 0.50Course 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, 119; Software Eng students only.
Antireq: (for ART and ENV students) ARTS 280, ECON 221, ENVS 278, ISS 250A/250B, 250R, KIN 222, PSCI 214/314, PSYCH 292, REC 371, SOC/LS 280, SMF 230, STAT 202, 206, 211, 221, 231, 241, SWREN 250A/B/R

STAT 211 LEC,TUT 0.50Course 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 SciBiot/CA students only.
Antireq: (for ART and ENV students) ARTS 280, ECON 221, ENVS 278, ISS/SWREN 250A/B/R, KIN 222, PSCI 214/314, PSYCH 292, REC 371, SOC/LS 280, STAT 202, 204, 206, 221, 231, 241

STAT 220 LEC,TST,TUT 0.50Course ID: 008862
Probability (Non-Specialist Level)
The laws of probability, discrete and continuous random variables, expectation, central limit theorem. [Offered: F,W]
Prereq: One of MATH 119, 128, 138, 148.
Antireq: STAT 230, 240
Also offered Online

STAT 221 LEC,TST,TUT 0.50Course ID: 008863
Statistics (Non-Specialist Level)
Empirical problem solving, measurement systems, causal relationships, statistical models, estimation, confidence intervals, tests of significance. [Offered: F, W]
Prereq: (One of MATH 128,138,148)&(One of STAT 220, 230, 240).
Antireq: STAT 231,241;(ART & ENV)ARTS 280, ECON 221, ENVS 278, ISS/SWREN 250A/B,250R, KIN 222, PSCI 214/314, PSYCH 292, REC 371, SOC/LS 280, STAT 202, 204, 206, 211, 231, 241
Also offered Online

STAT 230 LEC,TST,TUT 0.50Course 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 127 with a grade of at least 70% or MATH 128 with a grade of at least 70% or MATH 137 with a grade of at least 60% or MATH 147; Level at least 1B Honours Math or Math/Phys students only.
Coreq: MATH 128 or 138 or 148.
Antireq: STAT 220, 240

STAT 231 LEC,TST,TUT 0.50Course 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 128or138or148) & (STAT 220>70% or230or 240);Hon Math or Math/Phys
.Antireq: STAT 221,241;(ART&ENV ARTS 280,ECON 221, ENVS 271,ISS/SWREN 250A/B, 250R, KIN 222, PSCI 214/314, PSYCH 292, REC 371, SMF 280, SOC/LS 280, STAT 202,206,211, 221, 241)
Also offered at St. Jerome's University

STAT 232 LEC,TUT 0.50Course ID: 013320
Introduction to Medical Statistics
This course will provide an introduction to statistical methods in health research. Topics to be covered include types of medical data, measures of disease prevalence and incidence, age and sex adjustment of disease rates, sensitivity and specificity of diagnostic tests, ROC curves, measures of association between risk factors and disease, major sources of medical data in the Canadian context including surveys, registries, and clinical studies such as cohort studies, clinical trials and case-control studies. Papers from the medical literature will be used throughout to illustrate the concepts. Introduction to SAS for data analysis and an introduction to database management tools. [Offered: F]
Coreq: STAT 230 or 240

STAT 240 LEC,TST 0.50Course 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: F]
Prereq: MATH 137 with a grade of at least 60% or MATH 147; Level at least 1B Honours Mathematics students only.
Coreq: MATH 138 or 148.
Antireq: STAT 220, 230

STAT 241 LEC,TST,TUT 0.50Course 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: W]
Prereq: MATH 138/148 & STAT 230/240; Hon Math only.
Antireq: STAT 221,231;(for ART & ENV stdts)ARTS 280, ECON 221, ENVS 278, ISS 250A/B/R, KIN 222, LS/SOC 280, PSCI 214/314, PSYCH 292, REC 371, SMF 230, STAT 202, 206, 211, 221, 231, 241, SWREN 250A/B/R

STAT 300s


STAT 316 LEC,TUT 0.50Course 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. [Offered: W]
Prereq: One of ECON 221, ENVS 278, ISS 250R, KIN 222, PSCI 214/314, PSYCH 292, REC 371, SOC/LS 280, any STAT course; Not open to Honours Mathematics students.
Antireq: STAT 304, 324, 331, 361, 371

STAT 321 LEC,TUT 0.50Course ID: 008870
Regression and Forecasting (Non-Specialist Level)
Modeling the relationship between a response variable and several explanatory variables via regression models. Model diagnostics and improvement. Using regression models for forecasting, Exponential smoothing. Simple time series modeling. [Offered: W]
Prereq: (MATH 225/126 or 235 or 245) and (STAT 221 or 231 or 241).
Antireq: ECON 321, STAT 331, 361, 371, 372, 373, 443

STAT 322 LEC,TUT 0.50Course ID: 008871
Sampling and Experimental Design (Non-Specialist Level)
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 or 241.
Antireq: STAT 332, 362, 371, 372.

STAT 330 LEC,TUT 0.50Course 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 or 247, STAT 231 or 241; Not open to General Mathematics students.
Antireq: STAT 334

STAT 331 LEC,TUT 0.50Course 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 or 245, (STAT 231 or 241 or SYDE 214).
Antireq: ECON 321, STAT 304, 311, 321, 324, 361, 371, 373, SYDE 334

STAT 332 LEC,TUT 0.50Course 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 or 241 or SYDE 214; Not open to General Mathematics students.
Antireq: STAT 322, 362, 371

STAT 333 LEC,TUT 0.50Course 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 or 240 or SYDE 213; Level at least 3A; Not open to General Mathematics students.
Antireq: STAT 334

STAT 334 LEC,TUT 0.50Course 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 or 247, STAT 231 or 241; Business/Math double degree, Mathematics/Accounting or Math/Business students only.
Antireq: STAT 330, 333

STAT 340 LEC,TUT 0.50Course 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 the analysis of the results. [Offered: W,S]
Prereq: (One of CS 116, 126/124, 134, 136, 138, 145, SYDE 221/322) and (STAT 231 or 241 or SYDE 214); Not open to Computer Science or General Mathematics students.
Antireq: CM 361/STAT 341, CS 437, 457

STAT 341 LEC 0.50Course 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 or 247, STAT 231 or 241; Not open to General Mathematics students.
Antireq: CS 437/STAT 340
(Cross-listed with CM 361)

STAT 371 LEC,TUT 0.50Course 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 or 245) and (STAT 231 or 241); Business/Math double degree or Math/Accounting or Math/Business students only.
Antireq: ECON 321, STAT 321, 322, 331, 332, 361, 362, 373

STAT 372 LEC,TUT 0.50Course 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 321, 322, 373

STAT 373 LEC,TUT 0.50Course 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 or 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 0.50Course 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 0.50Course 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,W,S]
Prereq: STAT 330, (331 or 371); Not open to General Mathematics students

STAT 433 LEC 0.50Course 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 0.50Course 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 436 LEC 0.50Course ID: 013322
Introduction to the Analysis of Spatial Data in Health Research
The objective of this course is to develop understanding and working knowledge of spatial models and analysis of spatial data. The course provides an introduction to the rudiments of statistical inference based on spatially correlated data. Methods of estimation and testing will be developed for geostatistical models based on variograms and spatial autogressive models. Concepts and application of methods will be emphasized through case studies and pro jects with health applications. [Offered: W]
Prereq: STAT 431

STAT 437 LEC 0.50Course ID: 013321
Analysis of Longitudinal Data in Health Research
This course will provide an introduction to the principles and methods for the analysis of longitudinal data. Conditional and random effect modeling approaches to regression analysis will be covered, as well as semiparametric methods based on generalized estimating equations. Supporting statistical theory will be given at a level appropriate for a senior undergraduate student in Statistics. The importance of model assessment and parameter interpretation will be emphasized. Problems will be motivated by applications in epidemiology, clinical medicine, health services research, and disease natural history studies. Students will be required to think critically about appropriate strategies for data analysis. Analysis will be carried out with SAS and S-PLUS/R software and the importance of providing clear interpretations to data analyses will be emphasized. [Offered: W]
Prereq: STAT 333, 431

STAT 440 LEC 0.50Course 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 0.50Course 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 LEC 0.50Course 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 or 241; Not open to General Mathematics students
(Cross-listed with CM 462)

STAT 443 LEC,TUT 0.50Course 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 321, 373

STAT 444 LEC 0.50Course 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 0.50Course 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&371)or(ACTSC 231&BUS 393W)), (STAT 333 or 334); ACTSC majors, Bus/Math dbl deg, Math/Bus Fin Opt, Math/FARM, Math Fin, Math/Acct(Actsc or Fin Opt), Stat stdts.
Antireq: AFM 322/474, BUS 423W, ECON 372, MATBUS 470
(Cross-listed with ACTSC 446)

STAT 450 LEC,TUT 0.50Course 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 0.50Course 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 0.50Course ID: 008891
Topics in Probability Theory
Prereq: STAT 333; Not open to General Mathematics students

STAT 466 LEC 0.50Course ID: 008892
Topics in Statistics 1
Prereq: STAT 330, 331; Not open to General Mathematics students

STAT 467 LEC 0.50Course ID: 008893
Topics in Statistics 2
Prereq: Not open to General Mathematics students

STAT 468 RDG 0.50Course ID: 008894
Readings in Statistics 1
Prereq: Not open to General Mathematics students

STAT 469 RDG 0.50Course ID: 010728
Readings in Statistics 2
Prereq: Not open to General Mathematics students