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The aim of this course is to introduce students to the concepts and technologies associated with data analytics. The course will firstly help students understand information technology infrastructure that is fundamental to data analytics. Thereafter, data analytics concepts will be explained including big data, machine learning and artificial intelligence. Techniques for conducting data analytics will also be taught. This course would be of interest to students who would like to understand what data analytics is and its applications.
| AUs | 3.0 AUs |
| Grade Type | |
| Prerequisite | |
| Exam |
| Mon | Tue | Wed | Thu | Fri | |
|---|---|---|---|---|---|
| 930 | |||||
| 1000 | |||||
| 1030 | |||||
| 1100 | |||||
| 1130 | |||||
| 1200 | |||||
| 1230 | |||||
| 1300 | |||||
| 1330 | |||||
| 1400 | |||||
| 1430 | |||||
| 1500 | |||||
| 1530 | |||||
| 1600 | |||||
| 1630 | |||||
| 1700 | |||||
| 1730 | |||||
| 1800 |
| Mon | Tue | Wed | Thu | Fri | |
|---|---|---|---|---|---|
| 930 | COMMON LEC (LE) 0930-1120 Mon ONLINE | ||||
| 1000 | |||||
| 1030 | |||||
| 1100 |