ACCOUNTING INFORMATION SYSTEM AND INTERNAL CONTROL (2/2 Credits)

Learning Outcomes:

On successful completion of this course, student will be able to: LO1 – define Accounting Information System and Data Analytics Concept in Business; LO2 – explain The Modelling of Data in Business Process; LO3 – Design The Business Process on Database and Internal Control for all cycles; LO4 – analyze The Internal Control Based Technology in Business Operations; LO5 – analyze Advance Data Analytics to Support AIS in the Enterprise Activities; LO6 – demonstrate The Data Analytics Process to Improve Organization Performance.

Topics:

1. Accounting Information Systems and Firm Value;
2. Introduction to Microsoft Access;
3. Query and Data Entry Control with Form;
4. Accounting Information Systems and Firm Value;
5. Data Analytics Addressing Accounting Questions with Data;
6. Accountants as Business Analysts;
7. Accounting Information Systems and Firm Value;
8. Data Reporting and Switchboard;
9. Introduction to Microsoft Visio – Business Flow Process in Revenue Cycle;
10. Data Analytics Addressing Accounting Questions with Data;
11. Data Modelling;
12. Relational Databases and Enterprise Systems;
13. Accountants as Business Analysts;
14. Business Flow Process in Expenditure cycle;
15. Documentation for Production cycle;
16. Data Modelling;
17. Sales and Collection Business Process;
18. Purchases and Payments Business Process;
19. Relational Databases and Enterprise Systems;
20. Documentation for HRM and Payroll Cycle;
21. Descriptive Analytics – Determining the Most Profitable Products and Customers;
22. Sales and Collection Business Process;
23. Accounting Information Systems & Internal Controls;
24. Conversion Business Process;
25. Purchases and Payments Business Process;
26. Descriptive Analytics: Calculating Descriptive Statistics;
27. Diagnostic Analytics: Computing Variances and Bank Reconciliations Using Conditional Formatting;
28. Accounting Information Systems & Internal Controls;
29. Cybersecurity and Computer Fraud;
30. Monitoring and Auditing AIS;
31. Conversion Business Process;
32. Prescriptive Analytics – Sensitivity Analysis of Profitability;
33. Charts for Business Sales and Earnings;
34. Cybersecurity and Computer Fraud;
35. Emerging Technologies Blockchain and AI Automation;
36. Balanced Scorecard and IT Planning in Project;
37. Monitoring and Auditing AIS;
38. Time Series Analysis of Sales and Earnings;
39. Emerging Technologies Blockchain and AI Automation;
40. Balanced Scorecard and IT Planning in Project.