This course presents an overview of traffic flow models and their applications. A strong emphasis is given to the description of the different types of flow models, their limitations, and numerical methods. The course also formulates classical transportation engineering problems into a dynamical systems framework: forward and inverse problems, estimation, optimization and control. Possible solution methods are presented for each of these problems.

This class is an introduction to sensor systems for Civil Engineers. Sensor systems are now prevalent and enable a
variety of monitoring and control applications that are relevant to civil engineers. The course focuses on the problems of selecting a sensor suitable to a given application, understanding the relevant specifications in a datasheet, and processing the raw measurement data, using standard signal processing methods (linear filtering) or model-based data fusion methods (Kalman Filter and its extensions)

This course provides an introduction to engineering software (MATLAB) and numerical methods. The high level objectives of this course are to present basic elements of programming and computing using Matlab, and to introduce numerical methods for solving classical engineering problems. A review of relevant Linear Algebra concepts is included.