Transportation Related Courses

SemesterCourse Title
Level
Units
Course#
College
Professor
Description
18FTraffic Engineering
UG612-600 EngineeringCerminara, GregThe course incorporates the initial planning side of transportation engineering with tasks such as traffic analyses, traffic studies and transportation/traffic engineering report writing.
18FSmart Cities: Growth and Intelligent Transportation SystemsAll612-645EngineeringQian, ZhenCities all around the world are being built and re-invented as smart cities utilizing information systems and innovative applications of data analytics. One major smart cities component is transportation. The Intelligent Transportation Systems (ITS) industry is expected to grow at a rate of 19 per year and reach 5.5 Billion in annual investment by 2020. This course is supported by CMUs Traffic21 Initiative.
18FInfrastructure and Environment in a Changing World
All1212-100EngineeringSamaras, Constantinos
Smart cities, sustainable energy and buildings, connected autonomous vehicles, resilient infrastructure, climate change adaptation, and global water management are just a few of the future domains that will rely on CEEs. Students will explore how sensing, data science, environmental science, systems analysis, and infrastructure design are integrated to create a built environment that meets the needs of smart and connected communities while enhancing sustainability.
17SMUD Graduate SeminarG348-712ArchitectureCarter, DonThe seminar explores key issues of 21st Century global urbanization including regional planning, smart growth, smart transportation, smart cities, new cities, post-industrial cities, resilient cities, urban systems, and big data, and will include: lectures; visiting speakers; class discussion; reading assignments; one paper; one presentation to the class; and weekly blogs.
17SSpatial Analysis in Infrastructure PlanningG12 48-781 ArchitectureKurland, KristenA Geographic Information System (GIS) integrates displays, edits, analyzes, and shares spatial data for informing decision making. Industries benefiting from GIS include architecture, business, city planning, defense and intelligence, education, government, health and human services, natural resources, public safety, transportation, utilities and communications, and urban planning/design. This course prepares students to understand, maintain, and manipulate spatial and organizational data using world leading software applications.
17SSpecial Topics: Climate Change AdaptationG6 12-749Engineering Samaras, Constantine Engineers designing for climate change adaptation require the tools to maximize resiliency and minimize cost for existing and proposed energy, transportation, water, urban and other types of infrastructure. Students successfully completing this course will understand how climate change affects civil infrastructure and how to quantitatively incorporate resilient designs and co-benefits under uncertainty. Students will use open data to examine current adaptation engineering challenges, quantify solutions, and communicate their technical recommendations through policy briefs.
17SDecision Analytics for Business and PolicyG1212-768Engineering Jacquillat, AlexandreThis course introduces modeling frameworks and computational tools to address complex, ill-defined, large-scale decision-making problems that arise in policy and business. Using a combination of lecturing, case studies and class discussions, it covers advanced methods of decision-making under uncertainty in four major areas: large-scale optimization, discrete event simulation, stochastic optimization and queuing theory.
17SEnergy Demand and UtilizationG639-611Engineering (CIT)Samaras, Constantine This course examines how human demands for energy have evolved over time and how they differ across nations. The course begins from a historical perspective and proceeds to an evaluation of present demand and synthesis of future projections. The course focuses on the technologies used in the different sectors: housing, commerce, food, industry and transportation.
17FDecision Making Under UncertaintyG695-760HeinzJacquillat, AlexandrThis course provides an introduction to modeling and computational methods used by policy-makers, managers and analysts to support decision-making. The first half of the course focuses on deterministic optimization, and covers linear programming, network optimization and integer programming. The second half of this course introduces risk and uncertainty, and includes methods to characterize uncertainty and methods to optimize decisions under uncertainty.
17FTraffic EngineeringUG612-606EngineeringCerminara, GregThe course incorporates the initial planning side of transportation engineering with tasks such as traffic analyses, traffic studies and transportation/traffic engineering report writing.