Not offered in the current semester · Last offered AY2021/2022 Semester 2
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 | |
| Not Available To Programme | |
| Not Available To All Programme With | (Admyr 2011-2017) |
| Not Available As BDE/UE To Programme | |
| Not Available As Core To Programme | |
| Not Available As PE To Programme | |
| Mutually Exclusive With | |
| Not Offered As BDE | |
| Not Offered As Unrestricted Elective | |
| Exam |
Total hours per week: 2 hrs
Available Indexes
| Mon | Tue | Wed | Thu | Fri | |
|---|---|---|---|---|---|
| 930 | |||||
| 1000 | |||||
| 1030 | |||||
| 1100 | |||||
| 1130 | |||||
| 1200 | |||||
| 1230 | |||||
| 1300 | |||||
| 1330 | |||||
| 1400 | |||||
| 1430 | |||||
| 1500 | |||||
| 1530 | |||||
| 1600 | |||||
| 1630 | |||||
| 1700 | |||||
| 1730 | |||||
| 1800 |
Other offerings
AY20/21
AY19/20