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Data Science in Smart City (Summer 2022): Difference between revisions
Data Science in Smart City (Summer 2022) (view source)
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* The Python Data Science stack | * The Python Data Science stack | ||
* Video Analytics | * Video Analytics | ||
* Advanced algorithms for Data Science | |||
* Parameter tuning for predictive models | |||
The goal of this course is to: | |||
Help students to further understand computer networks and data science knowledge. | |||
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. | |||
In this course, each student (max. number 30) needs to: | |||
Read state-of-art papers. | |||
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. | |||
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. | 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. | ||