ACC41020 Accounting Technology

Academic Year 2023/2024

Accounting Information Systems (AIS) are a 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 developed 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.

Blockchain technology with its decentralized governance and immutable transaction storage has the potential to disrupt accounting practices. In this model you will learn about the cryptography behind Blockchains and explore potential use-cases in accountancy.

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 – Accounting Blockchains
After completing this section, a student should be able to:
- Describe the core elements of blockchain technology.
- Identify the features of blockchain technology that could potentaiily be useful in solving accounting problems.
- Explore the use-cases for accounting blockchains.

Student Effort Type Hours
Autonomous Student Learning

105

Lectures

25

Online Learning

20

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

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