Data Science in Smart City (Summer 2022): Difference between revisions

Data Science in Smart City (Summer 2022) (view source)

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 The goal of this course is to:
-Help students to further understand computer networks and data science knowledge.
+* Help students to further understand computer networks and data science knowledge.
-Help students to use computer science knowledge to build a practical AI system.、
+* Help students to use computer science knowledge to build a practical AI system.
-Guide students to utilize knowledge to improve the performance of the system.
+* Guide students to utilize knowledge to improve the performance of the system.
 In this course, each student (max. number 30) needs to:
-Read state-of-art papers.
+* Read state-of-art papers.
-Use programming to build systems including computer vision algorithms, embedded design programs, and SOCKET network programs.
+* Use programming to build systems including computer vision algorithms, embedded design programs, and SOCKET network programs.
-Learn how to analyze city public transport sensor data.
+* Learn how to analyze city public transport sensor data.
 Students need to finish three tasks by specific deadlines throughout the course. Note that this course thus requires a continuous effort throughout the whole semester.