Applied Data Science (CUSP-GX 6001)

This course equips students with the skills and tools necessary to address applied data science problems with a specific emphasis on urban data. Building on top of the Principles of Urban Informatics (prerequisite for the class) it further introduces a wide variety of more advanced analytic techniques used in urban data science, including advanced regression analysis, time-series analysis, Bayesian inference, foundations of deep learning and network science. The course will also contain a team data analytics project practice. After this class the students should be able to formulate a question relevant to urban data science, find and curate an appropriate data set, identify and apply analytic approaches to answer the question, obtain the answer and interpret it with respect to its certainty level as well as the limitations of the approach and the data.

Ctr for Urban Sci and Progress (Graduate)
3 credits – 15 Weeks

Sections (Spring 2023)


CUSP-GX 6001-000 (7539)
01/23/2023 – 05/08/2023 Thu
2:00 PM – 4:00 PM (Early afternoon)
at Brooklyn Campus
Instructed by Sobolevsky, Stanislav


CUSP-GX 6001-000 (7540)
01/23/2023 – 05/08/2023 Thu
5:00 PM – 7:00 PM (Late afternoon)
at Brooklyn Campus
Instructed by Sobolevsky, Stanislav

Urban Data Science (CUSP-GX 1003)

The course targets current and future urban practitioners looking to harness the power of data in urban practice and research. This course builds the practical skillset and tools necessary to address urban analytics problems with urban data. It starts with essential computational skills, statistical analysis, good practices for data curation and coding, and further introduces a machine learning paradigm and a variety of standard supervised and unsupervised learning tools used in urban data science, including regression analysis, clustering, and classification as well as time series analysis. After this class, you should be able to formulate a question relevant to Urban Data Science, locate and curate an appropriate data set, identify and apply analytic approaches to answer the question, obtain the answer and assess it with respect to its certainty level as well as the limitations of the approach and the data. The course will also contain project-oriented practice in urban data analytics, including relevant soft skills – verbal and written articulation of the problem statement, approach, achievements, limitations, and implications.

Ctr for Urban Sci and Progress (Graduate)
3 credits – 15 Weeks

Sections (Fall 2021)


CUSP-GX 1003-000 (23062)
09/02/2021 – 12/14/2021 Tue
6:00 PM – 7:00 PM (Evening)
at ePoly
Instructed by Sobolevsky, Stanislav