ACCT 286 - Special Topics Intr Data Anlytcs - Acct
PREREQUISITES: ACCT102 and BOAT218
PROGRAM: Accounting
CREDIT HOURS MIN: 3
LECTURE HOURS MIN: 3
DATE OF LAST REVISION: Fall 2022
CATALOG DESCRIPTION: Computerization and the availability of data is changing the role of the accountant as information provider. We talk about how the accounting profession will change to complement the power of computerization and the plethora of data available. We use the AMPS model to understand the data analytics process and how it will us to analyze all of the available information to address accounting questions.
We emphasize the four types of analysis (descriptive, diagnostic, predictive and prescriptive) and how they are used to address accounting questions.
MAJOR COURSE LEARNING OBJECTIVES: Upon successful completion of this course the student will be able to: 1. Explain how data analytics is used to answer accounting questions.
2. Define big data and describe its characteristics.
3. Discern the differences between Excel and Tableau 4. Describe the four types of accounting analytics
5. Describe descriptive analytics. 6. Perform various types of analysis.
7. Apply the AMPS model:
- Ask the question
- Master the data
- Perform the analysis
- Share the story
MAJOR COURSE LEARNING OBJECTIVES: MAJOR COURSE LEARNING OBJECTIVES: Upon successful completion of this course the
student will be able to:
1. Explain how data analytics is used to answer accounting questions.
2. Define big data and describe its characteristics.
3. Discern the differences between Excel and Tableau
4. Describe the four types of accounting analytics
5. Describe descriptive analytics.
6. Perform various types of analysis.
7. Apply the AMPS model:
Ask the question
Master the data
Perform the analysis
Share the story
COURSE CONTENT: Topical areas of study include -
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WEEK 1
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Introduction
Chapter 1 Using Data Analytics to Ask and Answer Accounting Questions
Chapter 2 Master the Data: an Introduction to Accounting Data
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WEEK 2
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Chapter 3 Accounting Data: Data Types and How They are Used
Chapter 4: Master the Data Preparing Data for Analysis
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WEEK 3
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Chapter 5: Perform the Analysis: Types of Data Analytics
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WEEK 4
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Chapter 6: Perform the Analysis: Descriptive Analytics
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WEEK 5
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Chapter 7: Perform the Analysis: Diagnostic Analytics
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WEEK 6
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Chapter 8: Perform the Analysis: Predictive Analytics
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WEEK 7
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Chapter 9: Perform the Analytics: Prescriptive Analytics
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WEEK 8
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Chapter 10 Share the Story
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GRADING POLICY
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Grading Scale
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Letter Grade
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Percentage
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A
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90%-100%
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B
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80%-89%
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C
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70%-79%
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D
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60%-69%
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F
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<60%
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Course Addendum - Syllabus (Click to expand)
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