Classes Taught at University of Central Florida
CGN6655 Regional Planning, Design and Development
Overview of urban transportation planning approaches, introduction to 4-step planning approach, quantitative methods for the individual steps (trip generation, trip distribution, mode choice, and traffic assignment), and drawbacks of 4-step approach, recent advances in travel demand models. For schedule details click here.
Terms Offered – Fall 2014, 2016, Spring 2018
TTE6667 Discrete Choice Modelling in Transportation
In this course, the students will gain conceptual understanding of the most common econometric models employed in the fields of transportation, economics, sociology and psychology. The emphasis is on training graduate students to develop econometric models from scratch as opposed to using “black box” software. The first part of the class provides training in the data assembly process, descriptive analysis and multivariate regression. The second part of the course focuses exclusively on econometric models to including binary logit/probit models, multinomial logit/probit model, ordered logit/probit model. The course exclusively employs maximum likelihood approach of model estimation. Finally, an introduction to more advanced models employed in research is provided.
Terms Offered – Fall 2015, 2017, 2019, 2022, 2023
TTE6910 Capstone Course MS in Travel Technology and Analytics
This course offers the students an opportunity to demonstrate the accumulated training in the M.S. in Travel Technology and Analytics program through an applied industry-based project. The overarching goal of this course is to broaden students’ perspectives on the increasingly technology-intensive business environment by linking academic learning to industry applications. In this project-driven course, students will be required to work with a client on a complex, applied, and company/industry problem. The course requires a high level of teamwork, time and information management, professionalism, and a strong work ethic.
Terms Offered – Spring 2023
TTE4300 Transportation Analytics
This course offers an introduction to qualitative and quantitative approaches to contemporary transportation challenges, including economic theory, optimization algorithms, statistical methods, and sustainable transportation alternatives.
Terms Offered – Spring 2018, 2019, 2020, 2021, 2023
TTE3810 Highway Engineering
This course introduces civil engineering students to the principles of Highway Engineering and how are they applied to ensure safe driving environment for motorists. Three main areas of transportation engineering will be covered in this course, namely transportation planning, highway design, and traffic operation. Emphasis is placed on the highway transportation mode.
Terms Offered – Spring 2015, 2016
TTE4274 Transportation Systems Engineering
This course aims to broaden transportation engineering knowledge for students who took Highway Engineering TTE 3810 and who are interested in expanding their knowledge in the field of transportation engineering and/or planning. Several topics related to transportation engineering will be covered in this course, namely transportation planning, traffic operation and highway design, public transportation system, intelligent transportation system (ITS), road safety, environmental impact of transportation and sustainable transport strategies.
Terms Offered – Spring 2015, 2016
Classes Taught at McGill University
CIVE208 Civil Engineering Systems Analysis
Civil Engineering : Introduction to civil engineering systems; system modelling process; systems approach and optimization techniques; application of linear programming; simplex method; duality theory; sensitivity analysis; transportation problem; assignment problem; network analysis including critical path method; integer linear programming method. For schedule details click here.
Terms Offered – Fall 2011, Fall 2012, Fall 2013
CIVE440 Traffic Engineering and Simulation
Driver, vehicle and traffic flow characteristics; origin-destination studies, traffic studies and analysis, queuing theory applications, microsimulation, highway design and capacity analysis, non-motorized facility design, high occupancy vehicle lane design, public transportation priority design, parking analysis, traffic signal design and control, and traffic micro-simulation. For schedule details click here
Terms Offered – Winter 2011, Fall 2011, Fall 2012, Fall 2013
CIVE637 Discrete Choice Modelling in Transportation
In this course, the students will gain conceptual understanding of the most common econometric models employed in the fields of transportation, economics, sociology and psychology. The emphasis is on training graduate students to develop econometric models from scratch as opposed to using “black box” software. The first part of the class provides training in the data assembly process, descriptive analysis and multivariate regression. The second part of the course focuses exclusively on econometric models to including binary logit/probit models, multinomial logit/probit model, ordered logit/probit model. The course exclusively employs maximum likelihood approach of model estimation. Finally, an introduction to more advanced models employed in research is provided.
Terms Offered – Winter 2012, Winter 2014
CIVE542 Transportation Network Analysis
Introduction to transportation network algorithms; analytical frameworks used in traditional transportation network software including routing algorithms, deterministic equilibrium approach, static traffic assignment, dynamic traffic assignment, vehicle routing algorithms, network reliability and design and several stochastic variants.
Terms Offered – Winter 2013
Other Teaching Activities
Global Initiative of Academic Networks (GIAN) Course, VNIT Nagpur
In this one week class titled “Understanding the Increasing Relevance of Choice Models for Advancing Transportation Modelling in Smart Cities” we presented a discussion on stated preference methods, choice models, advanced choice models and their relevance to smart cities in India.
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