This course aims to give students an overview of the current applications of data science and artifi cial intelligence in accounting and fi nance sector. In addition, the course provides contemporary case studies of such applications and gives students exposures to work on a specifi c project in one of these areas.
Prerequisite Graph
Required first
MH2500ProbabilitySC1007Data Structures & AlgorithmsSC2000Probability & Statistics For ComputingApplications Of Data Science & Ai In Accounting
Unlocks
Available Indexes
| Mon | Tue | Wed | Thu | Fri | |
|---|---|---|---|---|---|
| 830 | COMMON LEC (SCL4) 0830-1020 Fri LT9 | ||||
| 900 | |||||
| 930 | |||||
| 1000 | |||||
| 1030 | 10540 TUT (SCEL) 1030-1120 Fri LT9 Wk2-13 | ||||
| 1100 |
Other Relevant Mods
SC1001
Introduction To Computational Thinking & Programming
SC1004
Linear Algebra For Computing
SC1005
Digital Logic
SC1006
Computer Organisation & Architecture
SC1007
Data Structures & Algorithms
SC1008
C & C++ Programming
SC1013
Physics For Computing
SC1123
Math 1: Linear Algebra & Calculus For Computing
SC1301
Language & Logic