This course aims to introduce the modern computing methods, tools, and best practices for students in civil and urban engineering. The course uses Python as the programming language for solving a series of fundamental computational problems in civil and urban engineering, such as solving linear equations, data interpolation, curve fitting, root finding, numerical differentiation and integration, probability and statistics, linear programming and optimization. The course also introduces a series of generic computation tools and best practices for the students’ future study and research in computing applications in civil and urban engineering, including how to debug a program, visualize data, manage source codes, collaborative programming project management, etc. It aims at laying a solid foundation for civil and urban engineering students to better understand the modern programming workflow and utilize the computing tools. Students are first introduced with the fundamental concepts through the lecture, and then guided step-by-step via the in-class lab session in each weak. There will be multiple homework assignments and in-class quizzes for the evaluating the students’ performances. | Prerequisite: (CS-UY 1113 or CS-UY 1114 or CS-UY 1133) and MA-UY 2034 and MA-UY 2224 or Adviser’s approval.
Civil & Urban Engineering (Undergraduate)
3 credits – 15 Weeks
Sections (Spring 2025)
CE-UY 3013-000 (8657)01/21/2025 – 05/06/2025 Mon,Wed12:00 AM – 1:00 PM (Early afternoon)at Brooklyn CampusInstructed by Feng, Chen