ACC41020 Accounting Technology

Academic Year 2022/2023

Accounting Information Systems (AIS) are the core component of every organization’s information system. In this module, students will learn about the nature, purpose and mechanics of these systems. Students will be introduced to the SAP accounting system.

Modern AISs collect data from all the business processes in the organization. In this module, students will learn how this information can be organized, analysed and presented to provide information for decision makers within the organization.

Solutions to business problems have been develop using Artificial Intelligence in recent years. This module will introduce students to the basic concepts of AI and students will learn to develop and evaluate basic AI python programs.

Visualization is an important tool in business analysis. In this module students will learn advanced techniques for visualizing and presenting data.

Robotic Process Automation (RPA) allows high levels of automation to be applied to business processes. In this part of the module students will learn how RPA is used to automate recurring tasks and free up employee time for more value adding activities.

The module will involve programming in python and a large number of practical exercises. It will be graded as fail/pass/distinction (GPA Neutral) based on student work as evidenced by a portfolio of work generated through the module.

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Curricular information is subject to change

Learning Outcomes:

Part 1 – Accounting Information Systems
After completing this part of the module, a student should be able to:
- Describe the key technologies that have enabled the development of Accounting Information Systems.
- Define an Accounting Information System (AIS) and describe its basic functions.
- Describe the major business processes present in most companies.
- Discuss how organizations use enterprise resource planning (ERP) systems to process transactions and provide information.
- Document an accounting process using Data Flow Diagrams, Flow Charts and Business Process Diagrams.
- Recognise the major business documents used in the revenue cycle.
- Describe the basic business activities and related information processing operations performed in the revenue cycle on the SAP byDesign Accounting System.
- Describe how automation of business activities and the related information processing operations can benefit companies.
- Identify major threats in the revenue cycle and evaluate the adequacy of various control procedures for dealing with those threats.
- Develop basic python programs to analyse accounting data

Part 2 – AI in Accountancy and Business

After completing this part of the module, a student should be able to:
- Describe the development of AI technologies in business.
- Develop basic python programs to apply AI techniques to accountancy problems

Part 3 – Visualising Accounting and Business Data

After completing this section, a student should be able to:
- Clean data & load data into visualisation software
- Use visualisation software to summarize large volumes of data
- Select & generate appropriate visualisations for case
- Use visualisations to gain insights and interpret large volume of data
- Discuss the implications and use cases for data visualisation in the accounting profession

Part 4 – Robotic Process Automation (RPA)

After completing this section, a student should be able to:
- Understand basic programming concepts & error handlers
- Apply a wide range of bot actions
- Create bots to perform basic accounting-related tasks
- Discuss the benefits and limitations of RPA
- Discuss the potential implications of RPA for the accounting profession

Student Effort Type Hours
Autonomous Student Learning

129

Lectures

21

Total

150

Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Not applicable to this module.
 
Assessment Strategy  
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade
Assignment: Portfolio of work on Accounting Technology Coursework (End of Trimester) n/a Other No

100


Carry forward of passed components
No
 
Resit In Terminal Exam
Autumn No
Feedback Strategy/Strategies

• Group/class feedback, post-assessment

How will my Feedback be Delivered?

Not yet recorded.

Name Role
Ms Catherine Allen Lecturer / Co-Lecturer
Dr Sean Power Lecturer / Co-Lecturer
Hans Van Der Heijden Lecturer / Co-Lecturer

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