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.

Directed reading course in Latin subjects.

Directed reading in Greek literature.

Directed reading course in Latin literature.

Directed reading course in Latin literature.

Special Essay directed by a faculty supervisor on a topic developed by the student. The essay is marked by the supervisor and a second faculty reader.

This course focuses on introducing students to research methodologies in the field of Ancient History.

This course code tracks the completion of the Major Field Examination. For more information, consult with the Department.

This course is a research seminar focused on topics of Greek Epic Poetry.

Research Seminar on topics in Greek Poetry.