SPECIAL STUDIES
SPECIAL STUDIES
2024 Fall Term
Accounting 496
Group activity. Not offered regularly in the curriculum but offered on topics selected on the basis of timeliness, need, and interest, and generally in the format of regularly scheduled Catalog offerings. Repeatable for a maximum of 3 credits in the accounting major and a maximum of 6 credits in the degree.
Other Requirements: PREREQ: ((COBE MAJOR: 2.50 CUMULATIVE GPA) OR (NON-COBE MAJOR/MINOR/COBE MINOR: 2.00 CUMULATIVE GPA))
Class Schedule
Disclaimer
- This schedule is informational and does not guarantee availability for registration.
- Sections may be full or not open for registration. Please use WINS if you wish to register for a course.
Section Details | Meeting Details & Topic | Instructor | Syllabus | ||
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01A-LEC 3217
3 Units
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10/23 - 12/07 (8W2) |
Seyedhamidreza Vakilzadeh
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ONLINE | DUAL LISTED: 496/696-01A | ||||
This course introduces Artificial Intelligence (AI) and its applications to execute both sophisticated and mundane accounting tasks. The course delves into real-world scenarios where machine learning and deep learning are employed within the accounting domain. Students will learn the fundamentals of machine learning and deep learning, such as sentiment analyses and large language models and their applications. The course content will be rooted in accounting, with a focus on implications such as financial reports, audit risk determination, fraud risk determination, audit procedures, tax filings and financial forecasting | |||||
PREREQ: ACCOUNT 244 AND ((COBE MAJOR: 2.50 CUMULATIVE GPA) OR (NON-COBE MAJOR/MINOR/COBE MINOR: 2.00 CUMULATIVE GPA)) |