Search Courses

STA4519H - Optimal Transport: Theory and Algorithms

Optimal transport is a vast subject and has deep connections with analysis, probability, and geometry. In recent years optimal transport has found widespread applications in data science (a notable example is the Wasserstein GAN). In this course we offer a balanced treatment featuring both the theory and applications of the subject. After laying down the theoretical foundation including the Kantorovich duality, we turn to numerical methods and their applications to data science. Possible topics include entropic regularization, dynamic formulations, gradient flows, statistical divergences and the W-GAN. Our main reference is the recent book Computational Optimal Transport by Gabriel Peyré and Marco Cuturi.

Credit Value (FCE): 0.25
Prerequisites: STA2111H and STA2211H, or permission of the instructor
Campus(es): St. George
Delivery Mode: In Class

STA4522H - The Measurement of Statistical Evidence

The concept of statistical evidence is central to the field of statistics. In spite of many references to "the evidence" in statistical applications, it is fair to say that there is no definition of this that achieves broad support in the sense of serving as the core of a theory of statistics. The course will examine the various attempts made to measure evidence in the statistical literature and why these are not entirely satisfactory. A proposal to base the theory of statistical inference on a particular measure, the relative belief ratio, is discussed and how this fits into a general theory of statistical reasoning.

Credit Value (FCE): 0.25
Campus(es): St. George
Delivery Mode: In Class

STA4523H - Bayesian Computational with Massive Data and Intractable Likelihoods

Credit Value (FCE): 0.25
Delivery Mode: In Class

STA4524H - Advanced Topics in Statistical Genetics

Credit Value (FCE): 0.25
Delivery Mode: In Class

STA4525H - Demographic Methods

This course provides an overview of the core areas of demography (fertility, mortality and migration) and the techniques to model such processes. The course will cover life table analysis, measures of fertility and nuptiality, mortality and migration models, and statistical methods commonly used in demography, such as Poisson regression, survival analysis, and Bayesian hierarchical models. The goal of the course is to equip students with a range of demographic techniques to use in their own research.

Credit Value (FCE): 0.25
Campus(es): St. George
Delivery Mode: In Class

STA4526H - Stochastic Control and Applications in Finance

The course will introduce students to the basic theory of stochastic optimal control. We will cover both the analytic approach, including an introduction to viscosity solution theory, and the probabilistic approach which is based on BSDE and the stochastic maximum principle. Applications to portfolio optimization and contract theory will be discussed.

Credit Value (FCE): 0.25
Prerequisites: (Measure-theoretic) probability theory and stochastic calculus
Campus(es): St. George
Delivery Mode: In Class

STA4527H - Random Matrix Theory and Its Applications

Random matrix theory is now a big subject with applications in many disciplines of science, engineering, and statistics. This course will cover fundamental concepts, principal and theory in random matrix theory, orienting towards the needs and interests in statistics. Applications to big data analytics and geometric data analysis are provided.

Credit Value (FCE): 0.25
Campus(es): St. George
Delivery Mode: In Class

STA4528H - Dependence Modelling with Application to Risk Management

This course introduces the theory of modelling dependence in statistical/stochastic models, including copulas and factor models. Typically, data of joint (rare) events are scarce making dependence modelling highly challenging. In financial and insurance risk management, however rare events are prevalent, and misspecification in the dependence structure may greatly impact risk management decisions.

This course provides, additional to copulas and factor models, an overview of financial risk management including risk measures and regulation, such as the Basel accords, with a focus on dependence modelling. It further covers risk assessment and risk management under dependence uncertainty.

Credit Value (FCE): 0.25
Campus(es): St. George
Delivery Mode: In Class

STA4529H - Applications of Nonstandard Analysis to Statistics and Probability Theory

Nonstandard analysis provides a rigorous foundation for carrying out mathematical analysis with the aid of infinitesimal numbers and other structures that appear in so-called saturated models of the real numbers. This course introduces nonstandard analysis using concepts and examples from statistics and probability. Topics include: extension, transfer, and saturation; infinitesimal and infinite numbers; hyperfinite sets and measures; hyperfinite models of stochastic processes; nonstandard Bayesian decision theory and connections to frequentism. Background in real analysis, probability theory, and statistics recommended. No background will be assumed in mathematical logic.

Credit Value (FCE): 0.25
Campus(es): St. George
Delivery Mode: In Class

STA4530H - Derivatives for Institutional Investing

This course explores the replication of financial derivatives from the standpoint of investment banks ("sell-side") and the application of derivatives from the standpoint of pension funds, insurers, hedge funds, mutual funds and private equity funds ("buy-side").

The course is structured into three components: 1. The first module analyses how trading and structuring desks at investment banks use vanilla options to create bespoke payouts for institutional investors, corporates, and retail investors. 2. The second module examines how the buy-side uses derivatives for: Hedging: e.g., protecting traditional balanced portfolios, managing currency risk; Outperforming benchmarks: currency and equity overlay; Expressing "macro" views on equity indices, rates, currencies, and commodities; Expressing "micro" views on sectors and single stocks; And addresses why investor preferences give rise to risk premia, and how derivatives can be structured to take advantage of persistent behavioural biases in the market. 3. The third module synthesizes the key learnings from 1. and 2. into case studies.

Credit Value (FCE): 0.25
Campus(es): St. George
Delivery Mode: In Class

STA4531H - Information Geometry

Information geometry is the geometric study of statistical manifolds which are spaces of probability or nonnegative measures. This course is an introduction to information geometry and some of its recent developments. Mathematical prerequisites such as di erential geometry and convex analysis will be introduced as needed.

Credit Value (FCE): 0.25
Prerequisites: STA2111H or permission of the instructor
Campus(es): St. George
Delivery Mode: In Class

SWK1999H - Equity, Diversity and Inclusion Workshop

Campus(es): St. George
Delivery Mode: In Class

SWK4000H - Social Work and Disability Practice: a Client and Family Centred Approach

Credit Value (FCE): 0.50
Delivery Mode: In Class

SWK4001H - Emotion-Focused Therapy

Credit Value (FCE): 0.50
Campus(es): St. George
Delivery Mode: In Class

SWK4002H - Elder Abuse

Credit Value (FCE): 0.50
Delivery Mode: In Class

SWK4003H - Narrative Therapy

Credit Value (FCE): 0.50
Campus(es): St. George
Delivery Mode: In Class

SWK4004H - Social Work and Law

Credit Value (FCE): 0.50
Delivery Mode: In Class

SWK4005H - Critical Social Work Analysis with Indigenous People

Credit Value (FCE): 0.50
Delivery Mode: In Class

SWK4006H - Social Policy Analysis

Credit Value (FCE): 0.50
Campus(es): St. George
Delivery Mode: In Class

SWK4101H - Understanding Historical and Multigenerational Trauma

This is an in-person intensive course.

Credit Value (FCE): 0.50
Campus(es): St. George
Delivery Mode: In Class

SWK4102H - Social Policy and Social Welfare in the Canadian Context

Credit Value (FCE): 0.50
Campus(es): St. George
Delivery Mode: Online, In Class

SWK4103H - Elements of Social Work Practice

Credit Value (FCE): 0.50
Campus(es): St. George
Delivery Mode: In Class

SWK4105H - Social Work Practice Laboratory

Credit Value (FCE): 0.50
Campus(es): St. George
Delivery Mode: In Class

SWK4106H - Social Work Ethics and Indigenous Communities

Credit Value (FCE): 0.50
Campus(es): St. George
Delivery Mode: Online

SWK4107H - Foundations of Social Work: Knowledge, Theory and Values that Inform Practice

Credit Value (FCE): 0.50
Campus(es): St. George
Delivery Mode: In Class

SWK4108H - Sexual Abuse, Sexual Assault and the Family

Credit Value (FCE): 0.50
Campus(es): St. George
Delivery Mode: In Class

SWK4109H - Trauma and Human Development

Credit Value (FCE): 0.50
Campus(es): St. George
Delivery Mode: Online

SWK4110H - Trauma and Addiction

Credit Value (FCE): 0.50
Campus(es): St. George
Delivery Mode: Online

SWK4111H - Trauma-Informed Schools, Community Intervention and the Healing Power of Ceremony

This is an in-person intensive course.

Credit Value (FCE): 0.50
Prerequisites: SWK4901H or permission of the instructor
Campus(es): St. George
Delivery Mode: In Class

SWK4210H - Promoting Empowerment: Working at the Margins

Credit Value (FCE): 0.50
Campus(es): St. George
Delivery Mode: In Class