{"c_title":"[M2097.002100] Advanced Urban Quantitative Analysis","c_info":"3 credits | Lecture\/Seminar | Master | Dept. of Environmental Planning","c_summary":"This course is an advanced course of Urban Statistics Analysis, and aims to provide an in-depth look at the principles and applications of the methods used to quantitatively analyze the issues raised in urban research. Students taking this course will be able to understand the latest urban research papers using quantitative analysis and will be able to solve their own questions using data and analysis methods that are appropriate for the questions. In detail, students will learn classical linear regression models, generalized linear models, simultaneous equations models, panel data models, multi-level regression models, and discrete selection models, time series analysis, and spatial econometrics. In addition to mastering the basic principles throughout the class, students will also be given the opportunity to practice applying analytical methods to hands-on data using statistical packages such as Stata (R, Python, MATLAB, etc., depending on student choice)."}