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Courses - Spring 2021
Engineering, Civil Department Site
Advanced Topics in Civil Engineering; Traffic Signal Control
Credits: 3
Grad Meth: Reg, Aud
This course will introduce several key methodologies and models for design of traffic signal for urban networks, including isolated intersection arterial signal progression, multi-modal traffic signal progression, a nd network decomposition. Both the pre-timed signals with off-line data and real-time adaptive controls with various surveillance systems will be covered in the topics of system implementation. Students for this course are expected to have the traffic engineering background or some exposure on Traffic flow theory.
Advanced Topics in Civil Engineering; Data Analysis in the Built Environment: An Introduction to R
Credits: 3
Grad Meth: Reg, Aud
This is an interdisciplinary course focusing on building strong data science skills through application. Students will learn various modes ofdata acquisition, including how to bring in data and restructure it for analysis. In addition, students will learn how to examine data visually and how to conduct exploratory data analysis. Students will also learn the basics of code reproducibility, techniques for managing, storing andaccessing large data streams, and will be introduced to modern statistical modeling. This is an applied course designed to enhance students' computing and data analytic skills. Students will be expected to be active learners and to develop a hands on appreciation ofworking with large datasets in an interdisciplinary setting. Students are assumed to have little no R experience.
Advanced Topics in Civil Engineering; Data Mining and Machine Learning for the Built Envrionment
Credits: 3
Grad Meth: Reg, Aud
This course is a hands-on introduction to tools and techniques for data mining and machine learning analysis of data from the built environment. Students will learn how to write and compile simple software programs in Python and Java (no prior experience required), and then work step-by-step toward the design of software solutions using objects, data structures and software patterns. Students will be introduced to a spectrum of software tools, basic methods, and algorithms for data mining (e.g., Weka) and machine learning analysis of data (e.g., with DL4J and TensorFlow). The semester will conclude with completion and presentation of a project.
Advanced Topics in Civil Engineering; Research Methods Seminar
Credits: 1
Grad Meth: Reg, Aud
Intended for PhD and MSc students enrolled in the Project Management Program. It is strongly recommended for PhD candidates to develop their re-search topic and build strong research capability. The course provides a sound under-standing of the enterprise of engineering research, from selecting a thesis topic, to the development of a research proposal, to planning and executing a research plan, to writ-ing a dissertation and publishable articles. Students will review published research re -ports, conduct a literature survey, and write a preliminaryresearch proposal. Students will carry out assignments involving design of small experiments, and learn how to statistically analyze data and report results. The course comprises lectures from PM faculty and guest lecturers.

See instructor for details pertaining to in-person class meetings.