This course serves as an introduction to information analytics. It is divided into two parts. First, critical to understanding information analytics is the larger ecosystem in which the field is interconnected with. Thus, related technologies are discussed, including IT infrastructure, databases, the Internet, Web and social media, as well as mobile and ubiquitous computing. Second, the course examines the various techniques that have been employed in capturing, storing, accessing and analyzing large amounts of data, as well as software tools available for these tasks. As part of this course, examples of how information analytics have been applied to the information, communication, media and related industries will be covered.
| AUs | 3.0 AUs |
| Grade Type | |
| Prerequisite | |
| Not Available To Programme | |
| Not Available To All Programme With | |
| 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 |
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 |
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