DSC 450 : Data Science Practicum
| Years : | 2016 | |
| Session A : | MEL 224 , T 16:50 - 18:05 | |
| Session B : | MEL 224 , Th 16:50 - 18:05 | |
| Prerequisites : | ||
| Environment : | CIRC GPU Cluster (Bluehive), Python, SQLite | |
| Description : |
Students are expected to work on a real data analytics project and produce useful results from actual real-life data.
Session A is for groups that are interested working on medical data. A 2TB database that contains 24-hour ECG recordings is used to identify cardiac disease patterns. The groups in this session will present their findings to a medical doctor and researchers in the medical data analytics field.
Session B is for groups that are interested working on generic data. Through our partnership with a local company, the students will be given a large database and will analyze patterns in data that could lead to certain indicators. An example is the correlation between phone calls to disconnected numbers vs. economic status of a city. |
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| Workload : | Weekly presentations of project progress. |