Graduate Studies Reports Access
Graduate Course Proposal Form Submission Detail - ACG5405
Tracking Number - 5331
Edit function not enabled for this course.
Current Status:
Removed from DB by orginator -
Campus: Tampa
Submission Type: New
Course Change Information (for course changes only):
Comments: duplicate entry (5405 is ACG 5555)
Detail Information
- Date & Time Submitted: 2015-11-19
- Department:
- College: BA
- Budget Account Number: 140200
- Contact Person: Uday Murthy
- Phone: 8139746516
- Email: umurthy@usf.edu
- Prefix: ACG
- Number: 5405
- Full Title: Analytics in Accounting
- Credit Hours: 3
- Section Type: O -
Other
- Is the course title variable?: N
- Is a permit required for registration?: N
- Are the credit hours variable?: N
- Is this course repeatable?: Y
- If repeatable, how many times?: 1
- Abbreviated Title (30 characters maximum):
- Course Online?: O -
Online (100% online)
- Percentage Online: 0
- Grading Option:
R - Regular
- Prerequisites: ACG 4632 (USF’s undergraduate auditing course) or its equivalent, or be admitted to the Muma College of Business MBA program and have completed the MBA foundation course in accounting, or have completed ACG 6026 (Accounting Concepts).”
- Corequisites:
- Course Description: This course deals with analytics, understood as the discovery and communication of meaningful patterns. The focus is on accounting applications of analytics, after first understanding statistical techniques and data manipulation processes and tools.
- Please briefly explain why it is necessary and/or desirable to add this course: Needed to compete with national trends
- What is the need or demand for this course? (Indicate if this course is part of a required sequence in the major.) What other programs would this course service? All of the international public accounting firms and corporations that hire our students are demanding that accounting graduates have the requisite knowledge and skills to analyze large data sets. The Muma College of Business and the Lynn Pippenger School of Accountancy both have an emphasis on analytics and creativity. Offered as a 5000 level course, this course should satisfy CPA certification requirements for our undergraduate students and will also count towards the Master of Accountancy degree for students seeking an advanced degree. Taking this course will enhance the employment prospects of our students. The course can also be taken by students in the new Online MBA program to be offered by the Muma College of Business.
- Has this course been offered as Selected Topics/Experimental Topics course? If yes, how many times? No
- What qualifications for training and/or experience are necessary to teach this course? (List minimum qualifications for the instructor.) Doctor of Philosophy in Business, with a major in Accounting or Information Systems.
- Objectives: The course learning objectives are organized around foundational principles, descriptive analytics, predictive analytics, prescriptive analytics, and applications of analytic techniques in accounting domains. The specific objectives of this course are indicated below in each category:
1. Foundational: Principles of data analytics, analysis versus analytics, and the various categories of analytics—descriptive, prescriptive, and predictive.
2. Foundational: basic descriptive statistical measures for describing, summarizing, and exploring large data sets.
3. Foundational: Business process modeling and data modeling techniques for understanding associations between related accounting data sets.
4. Descriptive: Using spreadsheet tools for analyzing and summarizing data sets.
5. Descriptive: Using data mining and analytic techniques to identify anomalies and risk factors in underlying accounting data.
6. Predictive: Exploratory multivariate statistics and inferential statistics for understanding patterns in accounting data and for developing predictive models.
7. Predictive: Using data analysis tools and languages such as SQL to join and query related accounting data sets to draw meaningful insights for decision making.
8. Prescriptive: Linear optimization techniques, Monte Carlo simulations and other stochastic modeling techniques on accounting data sets.
9. Descriptive, predictive, and prescriptive: How to create interactive data visualizations of data to provide clear insights into associations, relationships, outliers and other patterns in accounting datasets.
10. Applications in accounting: How analytic techniques can be applied to generate insights in different areas of accounting, including financial accounting, managerial accounting, auditing, and taxation.
- Learning Outcomes: After completing this course, students will be able to:
1. Explain the distinction between analysis and analytics and the various categories of analytics—descriptive, prescriptive, and predictive.
2. Generate basic descriptive statistical measures on data sets for describing, summarizing, and exploring the data.
3. Understand and construct business process models.
4. Use spreadsheet tools for analyzing and summarizing data sets.
5. Use data mining and analytic techniques to identify anomalies and risk factors in underlying accounting data.
6. Apply exploratory multivariate statistics and inferential statistics for understanding patterns in accounting data and for developing predictive models.
7. Use data analysis tools and languages such as SQL to join and query related accounting data sets to draw meaningful insights for decision making.
8. Apply basic linear optimization techniques, Monte Carlo simulations and other stochastic modeling techniques on accounting data sets.
9. Create interactive data visualizations of data to provide clear insights into associations, relationships, outliers and other patterns in accounting datasets.
10. Apply analytics to generate insights in different areas of accounting, including financial accounting, managerial accounting, auditing, and taxation.
- Major Topics: Categories of analytics—descriptive, prescriptive, and predictive.
Descriptive and inferential statistics.
Business process modeling and data manipulation.
Data analysis, spreadsheet, and relational database querying tools.
Linear optimization and simulation techniques.
Techniques for interactive data visualization.
Applications of analytics in all the major areas of accounting, such as financial accounting, managerial accounting, auditing, and taxation.
- Textbooks: 1. James R. Evans, Business Analytics, 2nd Ed., Pearson
2. Edward Tufte, The Visual Display of Quantitative Information, 2nd Edition; http://www.edwardtufte.com/tufte/books_vdqi.
- Course Readings, Online Resources, and Other Purchases: James R. Evans, Business Analytics, 2nd Ed., Pearson
Edward Tufte, The Visual Display of Quantitative Information
Free online tutorials on Tableau
- Student Expectations/Requirements and Grading Policy: Assignments (30%)
Quizzes (15%)
Exams, two worth 25% each (50%)
Participation (5%)
- Assignments, Exams and Tests: Quizzes, case discussions, computer assignments, and two tests (midterm exam and a final exam)
- Attendance Policy: Course Attendance at First Class Meeting – Policy for Graduate Students: For structured courses, 6000 and above, the College/Campus Dean will set the first-day class attendance requirement. Check with the College for specific information. This policy is not applicable to courses in the following categories: Educational Outreach, Open University (TV), FEEDS Program, Community Experiential Learning (CEL), Cooperative Education Training, and courses that do not have regularly scheduled meeting days/times (such as, directed reading/research or study, individual research, thesis, dissertation, internship, practica, etc.). Students are responsible for dropping undesired courses in these categories by the 5th day of classes to avoid fee liability and academic penalty. (See USF Regulation – Registration - 4.0101,
http://usfweb2.usf.edu/usfgc/ogc%20web/currentreg.htm)
Attendance Policy for the Observance of Religious Days by Students: In accordance with Sections 1006.53 and 1001.74(10)(g) Florida Statutes and Board of Governors Regulation 6C-6.0115, the University of South Florida (University/USF) has established the following policy regarding religious observances: (http://usfweb2.usf.edu/usfgc/gc_pp/acadaf/gc10-045.htm)
In the event of an emergency, it may be necessary for USF to suspend normal operations. During this time, USF may opt to continue delivery of instruction through methods that include but are not limited to: Blackboard, Elluminate, Skype, and email messaging and/or an alternate schedule. It’s the responsibility of the student to monitor Blackboard site for each class for course specific communication, and the main USF, College, and department websites, emails, and MoBull messages for important general information.
- Policy on Make-up Work: Make up exams will only be allowed for a valid reason (validity to be determined solely by the instructor) and only if the student has notified the instructor in advance that the student cannot be present for the exam.
- Program This Course Supports: Master of Accountancy and Master of Business Administration
- Course Concurrence Information: This course will count towards the Master of Accountancy (MAcc) degree (note: up to three 5000 level courses may count towards the MAcc degree).
- if you have questions about any of these fields, please contact chinescobb@grad.usf.edu or joe@grad.usf.edu.