COURSE CURRICULUM

The recommended courses for graduate students in Transportation Engineering and related fields provide a comprehensive blend of core transportation subjects, decision sciences, management, economics, applied mathematics, and computer science to develop both technical and analytical expertise. Core transportation courses include CIVL 6220 (Critical Issues in Transportation), CIVL 6230 (Transportation Economics), CIVL 6250 (Transportation Systems Planning), CIVL 6270 (Traffic Control and Simulation), and CIVL 6280 (Dynamic Traffic Models), which equip students with the theoretical and practical tools necessary to analyze, design, and manage modern transportation systems. Elective options from Decision Sciences and Engineering Systems, such as ISYE 4140 (Statistical Analysis), ISYE 4210 (Design and Analysis of Supply Chains), ISYE 4600 (Deterministic Methods in Operations Research), ISYE 6610 (Systems Modeling in Decision Sciences), and ISYE 6620 (Discrete-Event Simulation), allow students to build quantitative and analytical capabilities relevant to operations and logistics. Management-focused courses like MGMT 4370 (Risk Management) and MGMT 6550 (Marketing Research), along with economics courses including ECON 4150 (Economics of Government Regulation and Firm Strategy), ECON 4210 (Cost-Benefit Analysis), and ECON 4570 (Econometrics), provide essential insights into organizational, regulatory, and policy considerations. Additionally, applied mathematics courses such as MATP 4600 (Probability Theory and Applications) and computational optimization courses, alongside computer science options like CSCI 696X (Algorithmic Game Theory), enable students to apply advanced modeling, statistical, and computational techniques to complex engineering problems, ensuring a well-rounded professional preparation.