Program Requirements
Revision, May 2012. Start of revision.
The Minor may be taken in conjunction with any primary program in the Faculty of Science. Students should declare their intention to follow the Minor Statistics at the beginning of the penultimate year and must obtain approval for the selection of courses to fulfil the requirements for the Minor from the Departmental Chief Adviser (or delegate).
All courses counted towards the Minor must be passed with a grade of C or better. Generally, no more than 6 credits of overlap are permitted between the Minor and the primary program. However, with an approved choice of substantial courses, the overlap restriction may be relaxed to 9 credits for students whose primary program requires 60 credits or more, and to 12 credits when the primary program requires 72 credits or more.
Required Courses (15 credits)
* MATH 223 may be replaced by MATH 235 and MATH 236. In this case the complementary credit requirement is reduced by 3 credits.

MATH 222 Calculus 3 (3 credits)
Overview
Mathematics & Statistics (Sci) : Taylor series, Taylor's theorem in one and several variables. Review of vector geometry. Partial differentiation, directional derivative. Extreme of functions of 2 or 3 variables. Parametric curves and arc length. Polar and spherical coordinates. Multiple integrals.
Terms: Fall 2012, Winter 2013, Summer 2013
Instructors: Wilbur Jonsson, Mathew Donald Rogers (Fall) Wilbur Jonsson (Winter) Eric Cormier (Summer)
 Prerequisite: MATH 141. Familiarity with vector geometry or Corequisite: MATH 133
 Restriction: Not open to students who have taken CEGEP course 201303 or MATH 150, MATH 151 or MATH 227

MATH 223 Linear Algebra (3 credits) *
Overview
Mathematics & Statistics (Sci) : Review of matrix algebra, determinants and systems of linear equations. Vector spaces, linear operators and their matrix representations, orthogonality. Eigenvalues and eigenvectors, diagonalization of Hermitian matrices. Applications.
Terms: Fall 2012, Winter 2013
Instructors: Layan El Hajj, Wilbur Jonsson (Fall) Wilbur Jonsson (Winter)
 Fall and Winter
 Prerequisite: MATH 133 or equivalent
 Restriction: Not open to students in Mathematics programs nor to students who have taken or are taking MATH 236, MATH 247 or MATH 251. It is open to students in Faculty Programs

MATH 323 Probability (3 credits)
Overview
Mathematics & Statistics (Sci) : Sample space, events, conditional probability, independence of events, Bayes' Theorem. Basic combinatorial probability, random variables, discrete and continuous univariate and multivariate distributions. Independence of random variables. Inequalities, weak law of large numbers, central limit theorem.
Terms: Fall 2012, Winter 2013, Summer 2013
Instructors: Masoud AsgharianDastenaei (Fall) David B Wolfson (Winter) Djivede Kelome (Summer)
 Prerequisites: MATH 141 or equivalent.
 Restriction: Intended for students in Science, Engineering and related disciplines, who have had differential and integral calculus
 Restriction: Not open to students who have taken or are taking MATH 356

MATH 324 Statistics (3 credits)
Overview
Mathematics & Statistics (Sci) : Sampling distributions, point and interval estimation, hypothesis testing, analysis of variance, contingency tables, nonparametric inference, regression, Bayesian inference.
Terms: Fall 2012, Winter 2013
Instructors: William J Anderson (Fall) David B Wolfson (Winter)
 Fall and Winter
 Prerequisite: MATH 323 or equivalent
 Restriction: Not open to students who have taken or are taking MATH 357
 You may not be able to receive credit for this course and other statistic courses. Be sure to check the Course Overlap section under Faculty Degree Requirements in the Arts or Science section of the Calendar.

MATH 423 Regression and Analysis of Variance (3 credits)
Overview
Mathematics & Statistics (Sci) : Leastsquares estimators and their properties. Analysis of variance. Linear models with general covariance. Multivariate normal and chisquared distributions; quadratic forms. General linear hypothesis: Ftest and ttest. Prediction and confidence intervals. Transformations and residual plot. Balanced designs.
Terms: Fall 2012
Instructors: Abbas Khalili Mahmoudabadi (Fall)
 Fall
 Prerequisites: MATH 324, and MATH 223 or MATH 236
 Restriction: Not open to students who have taken or are taking MATH 533.
Complementary Courses (9 credits)
9 credits selected from:

CHEM 593 Statistical Mechanics (3 credits)
Overview
Chemistry : Intermediate topics in statistical mechanics, including: modern and classical theories of real gases and liquids, critical phenomena and the renormalization group, timedependent phenomena, linear response and fluctuations, inelastic scattering, Monte Carlo and molecular dynamics methods.
Terms: Winter 2013
Instructors: David M Ronis (Winter)
 Winter
 Term paper
 Prerequisite: CHEM 345. Recommended: CHEM 365

GEOG 351 Quantitative Methods (3 credits)
Overview
Geography : Multiple regression and correlation, logit models, discrete choice models, gravity models, facility location algorithms, survey design, population projection.
Terms: This course is not scheduled for the 20122013 academic year.
Instructors: There are no professors associated with this course for the 20122013 academic year.
 Winter
 3 hours
 Prerequisite: MATH 203 or permission of instructor
 You may not be able to get credit for this course and other statistic courses. Be sure to check the Course Overlap section under Faculty Degree Requirements in the Arts or Science section of the Calendar.

MATH 447 Introduction to Stochastic Processes (3 credits)
Overview
Mathematics & Statistics (Sci) : Conditional probability and conditional expectation, generating functions. Branching processes and random walk. Markov chains, transition matrices, classification of states, ergodic theorem, examples. Birth and death processes, queueing theory.
Terms: Winter 2013
Instructors: William J Anderson (Winter)
 Winter
 Prerequisite: MATH 323
 Restriction: Not open to students who have taken or are taking MATH 547.

MATH 523 Generalized Linear Models (4 credits)
Overview
Mathematics & Statistics (Sci) : Modern discrete data analysis. Exponential families, orthogonality, link functions. Inference and model selection using analysis of deviance. Shrinkage (Bayesian, frequentist viewpoints). Smoothing. Residuals. Quasilikelihood. Sliced inverse regression. Contingency tables: logistic regression, loglinear models. Censored data. Applications to current problems in medicine, biological and physical sciences. GLIM, S, software.
Terms: Winter 2013
Instructors: David Stephens (Winter)
 Winter
 Prerequisite: MATH 423 or EPIB 697
 Restriction: Not open to students who have taken MATH 426

MATH 525 Sampling Theory and Applications (4 credits)
Overview
Mathematics & Statistics (Sci) : Simple random sampling, domains, ratio and regression estimators, superpopulation models, stratified sampling, optimal stratification, cluster sampling, sampling with unequal probabilities, multistage sampling, complex surveys, nonresponse.
Terms: Fall 2012
Instructors: Russell Steele (Fall)
 Prerequisite: MATH 324 or equivalent
 Restriction: Not open to students who have taken MATH 425

MATH 545 Introduction to Time Series Analysis (4 credits)
Overview
Mathematics & Statistics (Sci) : Stationary processes; estimation and forecasting of ARMA models; nonstationary and seasonal models; statespace models; financial time series models; multivariate time series models; introduction to spectral analysis; long memory models.
Terms: Fall 2012
Instructors: David Stephens (Fall)
 Prerequisite: MATH 324 or MATH 357 or equivalent

MATH 556 Mathematical Statistics 1 (4 credits)
Overview
Mathematics & Statistics (Sci) : Distribution theory, stochastic models and multivariate transformations. Families of distributions including locationscale families, exponential families, convolution families, exponential dispersion models and hierarchical models. Concentration inequalities. Characteristic functions. Convergence in probability, almost surely, in Lp and in distribution. Laws of large numbers and Central Limit Theorem. Stochastic simulation.
Terms: Fall 2012
Instructors: Johanna Neslehova (Fall)
 Fall
 Prerequisite: MATH 357 or equivalent

MATH 557 Mathematical Statistics 2 (4 credits)
Overview
Mathematics & Statistics (Sci) : Sampling theory (including largesample theory). Likelihood functions and information matrices. Hypothesis testing, estimation theory. Regression and correlation theory.
Terms: Winter 2013
Instructors: Masoud AsgharianDastenaei (Winter)
 Winter
 Prerequisite: MATH 556

PHYS 362 Statistical Mechanics (3 credits)
Overview
Physics : Quantum states and ensemble averages. FermiDirac, BoseEinstein and Boltzmann distribution functions and their applications.
Terms: Winter 2013
Instructors: Jack Sankey (Winter)
 Winter
 3 hours lectures
 Prerequisites: MATH 248 or equivalents, PHYS 253.
 Restriction: Honours students, or permission of the instructor
 Restriction: Not open to students taking or having passed PHYS 333

PHYS 559 Advanced Statistical Mechanics (3 credits)
Overview
Physics : Scattering and structure factors. Review of thermodynamics and statistical mechanics; correlation functions (static); mean field theory; critical phenomena; broken symmetry; fluctuations, roughening.
Terms: Fall 2012
Instructors: William Coish (Fall)
 Fall
 3 hours lectures
 Restriction: U3 Honours students, graduate students, or permission of the instructor

SOCI 504 Quantitative Methods 1 (3 credits)
Overview
Sociology (Arts) : Analysis of quantitative information, especially in large, surveytype, data sets. Use of computer programs such as SPSS and SAS. Topics include: cross tabulations with an emphasis on multidimensional tables, multiple correlation and regression, and, the relationship between individual and aggregate level statistical analyses. Special reference to demographic techniques.
Terms: Winter 2013
Instructors: Shelley Clark (Winter)
 Prerequisites: SOCI 350 and SOCI 461 or equivalents

SOCI 505 Quantitative Methods 2 (3 credits)
Overview
Sociology (Arts) : Topics include: problems  and solutions  in regression analysis, models for categorical dependent variables, including logic, loglinear, and linear probability models, measurement models, structural equation models with latent variables (LISREL), and time series and panel analysis.
Terms: This course is not scheduled for the 20122013 academic year.
Instructors: There are no professors associated with this course for the 20122013 academic year.
No more than 6 credits may be taken outside the Department of Mathematics and Statistics.
Further credits (if needed) may be freely chosen from the required and complementary courses for majors and honours students in Mathematics, with the obvious exception of courses that involve duplication of material.
Revision, May 2012. End of revision.