Eunhan Ka

Eunhan Ka is a Ph.D. student in the Lyles School of Civil Engineering and a member of the Urban Mobility Networks and Intelligence Lab (Advisor: Professor Satish Ukkusuri).
He received the B.S. degree and the M.S. degree in Civil & Environmental Engineering from Seoul National University (South Korea) in Feb 2016 and in Feb 2018.
His research is in the area of network modeling and mobility services using optimization methods and big data analytic.
Through his research, he wants to improve people's mobility and the stability of complex real-world systems by understanding the actual causes of instability problems and resolving them.

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Data Science for Smart Cities (edX)

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Data Science for Smart Cities (edX)
Course Auditing
EdX
Purdue University
PurdueX
Categories
Data Science
Statistics & Data Analysis
Engineering
Effort
Intermediate
13-24 Weeks
5-10 Hours/Week
Languages
English
English
Data Science for Smart Cities (edX)
Learn various scientific techniques that will allow the analysis, inference and prediction of large-scale data (e.g. GPS vehicular data, social media data, mobile phone data, individual social network data etc.) that are present in city networks. The availability of low cost and ubiquitous sensors in city infrastructure provides high [...]
Data Science
Smart Cities
Data Analysis
Data Mining
Regression Analysis
Python
Python Programming
Linear Regression
Logistic Regression
Poisson Regression
Decision Tree
Neural Networks
Clustering
Data Clustering
Deep Learning
View more details
No sessions available
Course Auditing
EdX
Purdue University
PurdueX
Data Science
Statistics & Data Analysis
Engineering
Intermediate
13-24 Weeks
5-10 Hours/Week
1917.00 EUR
English
English