2024-2025 Undergraduate Catalog
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ACCT 468 - Risk Analytics and Smart Monitoring System Design
Credit Hours: 3
Lecture Hours: 3
Lab Hours: 0
In this course, students will develop a working familiarity with the grounding principles of data analytics. Data is the foundation of any powerful Artificial Intelligence and data-driven solutions. The course uses real-world cases and data to educate students on data and the working mechanisms of data analytics. Students will learn to derive the greatest benefit possible from the available data while ensuring that the conclusions they draw remain valid. Students will apply a decision-making framework within which they will interact with the data to achieve the best outcome.
Risk domain knowledge is the other significant part. In this course, students will develop a frame to structure risk with available data. The course trains students’ risk consciousness using data science techniques to structure risk. Risk is a concept related to decision-making, so the course will use a well-designed framework to lead students to practice structuring risk with decisional data elements. This training procedure can enhance students’ pragmatical understanding of risk and its meaning relevant to business decision-making.
The course can embed two data analytics certificates, MS Azure Data Fundamental, and MS Power BI. This integration can facilitate an extended learning community to accelerate knowledge-building in data analytics and AI-based techniques in risk management courses. Real-world risk problem-solving acts as the orientation of this design.
Prerequisite: ACCT 300 or ISBA 300
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