ModsBC3415
Ai In Accounting Finance
This is an introductory course designed for business or accountancy or Finance undergraduate students who are interested to learn how to manage data, conduct business analytics programmatically, create AI model to automate business processes and create predictive model to increase profitability or return. It is oriented to enhance their technical skillset.
The aim of this course is to provide a broad understanding on how to manage data, the process of preparing data for analysis, basics of analytics, using AI to automate financial analysis process and generate accounting reports. This course will equip you with the ability to write customized solutions to make informed business decisions, integrate statistical libraries for data analysis, create AI models to automate accounting and financial process. This module will provide you with individual hands-on practices to hone your coding skills and opportunities to develop coding solutions in a team. We utilize R and Python language as the medium of learning because it is one of the most in-demand coding language and its user-friendly syntax is well suited for the beginner level. You will utilise modern development tools to turn information into insights including Keras' Deep Learning model, Google Brain TensorFlow, Hadoop, Spark and Cloud.
The aim of this course is to provide a broad understanding on how to manage data, the process of preparing data for analysis, basics of analytics, using AI to automate financial analysis process and generate accounting reports. This course will equip you with the ability to write customized solutions to make informed business decisions, integrate statistical libraries for data analysis, create AI models to automate accounting and financial process. This module will provide you with individual hands-on practices to hone your coding skills and opportunities to develop coding solutions in a team. We utilize R and Python language as the medium of learning because it is one of the most in-demand coding language and its user-friendly syntax is well suited for the beginner level. You will utilise modern development tools to turn information into insights including Keras' Deep Learning model, Google Brain TensorFlow, Hadoop, Spark and Cloud.
AUs | 3.0 AUs |
Exam | N/A |
Grade Type | N/A |
Maintaining Dept | N/A |
Prerequisites | |
Mutually Exclusive With | BC3409, |
Not Available To Programme | N/A |
Not Available To All Programme With | (Admyr 2011-2020) |
Not available as Core for programmes | N/A |
Not Available as PE for programmes | N/A |
Not Available as BDE/UEs for programmes | N/A |
Not Offered To | N/A |
Total hours per week: 3 hrs
Available Indexes
Mon | Tue | Wed | Thu | Fri | |
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1430 | 00565 SEM (3) 1430-1720 Mon S4-SR2 | 00566 SEM (4) 1430-1720 Tue ABS-SR10 | 00563 SEM (1) 1430-1720 Wed S3-SR5 | 00564 SEM (2) 1430-1720 Thu S4-SR3 | |
1500 | |||||
1530 | |||||
1600 | |||||
1630 | |||||
1700 |