The fundamental concepts of soil mechanics and foundation engineering presented at the undergraduate level will be further developed in the context of advanced topics including: undrained loading and soil liquefaction; coupled hydro-mechanical modeling using Biot theory; cemented soils; unsaturated soil mechanics; constitutive models and laboratory test methods; and field monitoring techniques. Extensive reading assignments will be given. Research papers, numerical modeling assignments, and class presentations will be used as the basis for evaluation.

Fundamental theories and applications of response and failure of engineering materials (e.g., rocks, concretes, steels, polymers, and glass) under highly dynamic loading. Topics include elastic and plastic stress wave propagation, failure and fracture theory under rapidly varying loads, dynamic fracture toughness, nucleation, and propagation of the damage in materials and their theoretical and experimental quantification.

Lectures will be supplemented by selected laboratory exercises involving the newly built state-of-the-art Split Hopkinson Pressure Bar facilities, to illustrate the physics of dynamic loading, strain-rate effects, and high-velocity fracture in engineering materials.

This course is designed for graduate students who are interested in learning how solid materials such as steel, soil, and rock respond to loading and deformation. Constitutive models are mathematical constructs founded on fundamental mechanics that relate loads and deformations through various components of stresses and strains. Students will learn how to use tensors to describe stresses and strains in 3D space, what various loading conditions solids may experience, how solid materials respond to loading by elastic and plastic deformations, and how presence of other material phases such as fluids may contribute to material behaviour.

The course includes three main sections: First a summary of some continuum mechanics concepts including tensor notation and operations, deformation gradient, strain and stress tensors, principal vectors, and invariants will be explained. Then basic concepts from plasticity including definitions of elastic and plastic strains, yielding, hardening, coaxially, normality and flow rule will be introduced. The final and most extensive part of the course includes going through a range of constitutive relations starting with classic elasto-plastic models and moving on to classic and advanced critical state and bounding surface plasticity models. Materials will be general in nature, but examples and some of the specific models will focus on soil behaviour. The course will be useful to all students who are studying Geomechanics, and those Structural Engineering students who are interested in modelling material behaviour, or soil-structure interaction.

Rock masses can be defined as made of intact rock blocks and discontinuities (joints, faults, etc.). It is the presence of those weak features that determine the overall hydro-mechanical response of the rock mass that engineers observe in the field. Therefore, to correctly engineer any structure in rock, we cannot relay only on the mechanical properties of the intact rock, but we need to be able to properly understand the role that fractures play on the overall behaviour that we observe, and how to account for them during the different phases of the rock engineering design.

This course will try to address this specific issue by presenting the latest scientific discoveries and engineering approaches in the field. It will also present students with innovative methodologies for the quantification of fracture shear strength, rock mass mapping, and rock mass modeling tools such as the Combined Finite-Discrete Element Method for simulating damage and fracture in geomaterials.

All geotechnical engineers will at some time in their careers be involved with projects that includes elements of rock mechanics or rock engineering (in general, rock in Toronto is only about 15m or less below ground surface). This introductory graduate-level course is aimed at students who have studied soil mechanics and geotechnical engineering at undergraduate level, and who wish to expand their knowledge to include a fundamental understanding of rock mechanics and rock engineering. The course covers fundamental components of rock mechanics (in situ stress, discontinuities, intact rock, rock masses, heterogeneity) before moving on to rock engineering topics (rock excavation and stabilization, foundations and slopes, underground excavations). The course uses an inverted classroom model: material is delivered asynchronously via video lectures, with all in-person sessions being devoted to tutorials and other problem-solving activities. Various workshops and laboratory sessions are included.

Modern engineering design codes embrace reliability-based design, and this philosophy is being introduced into geotechnical engineering. However, the application of RBD to rock engineering is not straightforward. Drawing on the instructor's unique close involvement in the ongoing development of Eurocode 7, this course presents the latest understanding and developments in RBD for rock engineering. The following topics are included: rationale for RBD; computing the probability of failure; simple examples of RBD; application of FORM to rock engineering problems; the problem of limited data; the problem of non-probabilistic uncertainty. Course delivery is via in-person tutorials supported by directed reading and problem-solving.

This course addresses the fundamentals and practical considerations of reinforcement and support for surface and underground excavations in rock. Topics covered include: Rock mass behaviour and failure mechanisms; Ground support elements and specifications; Ground support "action" and "reaction"; Ground support practice; Data required for support system design; Approaches to ground support design: analytical, empirical, numerical modelling, probabilistic; Monitoring of reinforcement and support; Case studies.

This course will provide students with the foundation for an understanding of geology as it applies to civil/geotechnical engineering in urban areas. Topics include the role and importance of geology in civil/geotechnical engineering practice, including glacial geology and landforms, hydrogeology, urban geology of Canadian cities, and case studies with practical applications. This course will not address mining, mineral, or rock engineering.

A lecture and tutorial course designed to build on the prerequisite introduction to probability in the form of applied probability and statistics with emphasis on techniques appropriate for investigating the random behaviour of complex civil engineering systems. Topics include: a review of probability theory; extreme value distributions; engineering reliability; conditional distributions; applications of common probability models; parameter estimation and confidence intervals; significance testing; elementary Bayesian analysis; simple stochastic processes.

This seminar series is mandatory for research students in the Transportation Research Group. This course does not count toward program course requirements. Talk to your supervisor for more information on how this course fits into your program.

Efficient movement of freight is crucial for national economic viability. This course introduces the structure of the freight industry and relates it to business logistics and planning of supply chains. Planning of freight services at the strategic, tactical, and operational levels is presented and models of international, inter-city, and urban freight movements are introduced. Shipper behavior related to mode choice, carrier selection, adoption of 3-PL and information technology options is considered. The course also introduces the role of advanced technologies (ITS) in improving freight operations, and the implications of e-commerce on planning of freight services. The course concludes by providing an overview of policy issues, data sources and needs, and the particularities of the Canadian freight transportation context.

Transit agencies worldwide witness a growing trend of data abundance and diversity, presenting opportunities to enhance transit system effectiveness but requiring specialized knowledge and experience with analytics for harnessing such data. Transportation agencies and companies overseeing other modes and emerging mobility services face the same challenges.

This course provides students with in-depth exposure to emerging data types, sources, and standards for transit and other mobility systems. The course will cover a range of analytics for harnessing diverse data in various planning and management applications. While special focus will be given to transit applications, other mobility modes and services will be considered, as appropriate.

The objective of this course is to provide an overview of the planning, design and operation of the airport component of a modern air/highway inter-modal transportation system including airside, terminal, and groundside elements. Students will be introduced to current trends in the air transportation industry as these impact on air travel demand and the requirement for airport facilities and services. Aviation demand forecasting and management will be studied, as will aircraft and passenger characteristics. A central focus of the course will be airfield (runways and taxiways) and terminal design, both passenger and cargo. While Canadian standards will be used in all design examples and exercises, these are generally compatible with ICAO recommended practices and the analytic methods broadly applicable elsewhere. Case Studies will draw heavily on the current Master Plan being developed for Pickering Airport and the ongoing development program at Toronto's Lester B. Pearson International Airport. The course will conclude with a brief look at the critical environmental issues facing airports, particularly noise and water pollution, and at airport economics and finance.

This course provides the students with an understanding and knowledge of designing and implementing travel data collection studies. This course aims to provide comprehensive knowledge on all aspects of travel data collection necessary for the future professionals involved in planning, developing, operating, managing, and monitoring transportation systems. The course will equip the students with knowledge of basic concepts relevant to travel data collection and analysis; current practices in data collection; major steps involved in travel data collection for planning and management of transportation systems; and practical issues in travel data collection.

By the end of this course, students should be able to: design, develop, implement, and evaluate travel surveys necessary for transportation planning, travel demand modelling, and transportation policy analyses; and identify and apply appropriate analytical tools for a variety of transport data types.

This course focuses on Intelligent Transportation Systems (ITS) with emphasis on Advanced Traffic Control and Management Systems (ATMS) and applications of Artificial Intelligence (AI) in ATMS. Topics include: Overview and Introduction to ITS; Traffic Flow Modeling for ITS: Macroscopic, Microscopic and Mesoscopic; Transportation Networks Modeling and Traffic Assignment; Genetic Algorithms (GA) for Optimization (Artificial Intelligence Part I); Applications of GA: Emergency Evacuation Optimization, Origin-Destination; Estimation, Dynamic Congestion Pricing; Artificial Neural Networks (Artificial Intelligence Part II); Applications of NN: Automated Incident Detection (AID), Short-Term Traffic Flow; Forecasting Traffic Control and Optimization Theoretical Primer; Reinforcement Learning (Artificial Intelligence Part III); Introduction to Deep Learning (Deep NN + RL); Freeway Traffic Control and Optimization; Street Traffic Control and Optimization. Other Research Topics (time permitting), e.g., Modelling and Exploiting Vehicle Automation and Connectivity for 21st Century Traffic Control.

The land use-transportation interaction is the focus of this course. Basic concepts underlying urban spatial processes are introduced. Land use forecasting models used to project future land use (principally population and employment distributions) for input into transportation planning studies are presented. Models reviewed include the Lowry Model, econometric-based models and urban simulation techniques. The remainder of the course deals with the qualitative and quantitative assessment of impacts of major transportation facilities on land use patterns. A term project dealing with the analysis of the impact of a current transportation proposal within the Greater Toronto Area on adjacent land use constitutes an important component of the coursework.

This course deals with the quantitative analysis and modeling of transportation demand for planning purposes. The course principally deals with urban passenger demand, but an introduction to freight and intercity travel demand is also provided. A theoretical framework for the study of transportation demand is developed from basic micro-economic principles of consumer behaviour. The primary modeling approaches considered are: disaggregate choice models; entropy-based models, and an introduction to the activity-based approach to travel demand modeling. An understanding of the theory of the demand for transportation is coupled with practical experience in the specification, estimation, and use of transportation demand models.

This course focuses on quantitative methods and techniques for the analysis and modelling of urban transportation systems. Major topics include probabilistic modelling, queuing models of transport operations, network models, and simulation of transportation systems. The application of these methods to modelling various components of the transportation system (including road, transit, and pedestrian facilities) is emphasized in this course.

Transit agencies around the world witness a growing trend of data abundance and diversity, presenting opportunities to enhance transit system effectiveness but requiring specialized knowledge and experience with analytics for harnessing such data. Transportation agencies and companies overseeing other modes and emerging mobility services are faced with the same challenges. This course provides students with in-depth exposure to emerging data types, sources, and standards for transit and other mobility systems. The course will cover a range of analytics for harnessing diverse data in a variety of planning and management applications. While special focus will be given to transit applications, other mobility modes and services will be considered as appropriate.

This year-long, half-credit course exposes students to advanced methods employed in understanding texts, contexts, and concepts in the main areas of Jewish Studies. A diverse team of scholars from a range of academic disciplines will model methods such as textual exegesis and criticism; history of interpretation; social history; cultural studies; comparative approaches; and analysis of philosophical and theological problems and arguments. Students participate in group discussions after the twelve scheduled guest lectures and write three short responses each semester to specific presentations.

A directed reading course at the MA level designed by a graduate faculty member in Jewish Studies in collaboration with a graduate student on a topic in Jewish Studies. The course will include individual consultations, discussion of existing literature in the specific discipline and preparation of extensive paper and bibliography

This year-long, half-credit course exposes students to advanced methods employed in understanding texts, contexts, and concepts in the main areas of Jewish Studies. A diverse team of scholars from a range of academic disciplines will model methods such as textual exegesis and criticism; history of interpretation; social history; cultural studies; comparative approaches; and analysis of philosophical and theological problems and arguments. Students participate in group discussions after the twelve scheduled guest lectures and write three short responses each semester to specific presentations.

A directed reading course at the PhD level designed by a graduate faculty member in Jewish Studies in collaboration with a graduate student on a topic in Jewish Studies. The course will include individual consultations, discussion of existing literature in the specific discipline and preparation of extensive paper and bibliography

Directed reading course in Greek or Latin subjects.

Directed reading course in Latin literature.