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5.0
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Difficulty
1,000
Ratings given
99%
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| Name | Grades | Rating | |||
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Not teaching in Spring 2026 | |||||
ACCT 7323 Suresh Radhakrishnan | |||||
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| Name | Grades | Rating | |||
|---|---|---|---|---|---|
Not teaching in Spring 2026 | |||||
ACCT 7323 Suresh Radhakrishnan | |||||
This professor/course combination hasn't been taught in the semesters you selected. To see more grade data, try changing your filters.
Grades: 0
Median GPA: None
Mean GPA: None
4
Professor rating
3.1
Difficulty
14
Ratings given
78%
Would take again
Foundations of Accounting Research
ACCT 7323
Naveen Jindal School of Management
The first half of the course introduces analytical research in accounting. Topics include accounting information-based valuation models, principal-agent models of moral hazard and adverse selection, and real effects of accounting information. Empirical implications and insights will be emphasized. The second half of the course covers methodologically grounded empirical research design by means of both null hypothesis testing strategies and estimation-driven inference. It focuses on the importance of understanding and conveying the inherent uncertainty attached to such inference in stochastic settings through the critical assessment of existing accounting research efforts. It also addresses the interplay between such methodological understanding and the methods employed in empirical analyses. May be repeated for credit as topics vary (9 semester credit hours maximum). Instructor consent required. 3 credit hours.
Offering Frequency: Every two years
This professor/course combination hasn't been taught in the semesters you selected. To see more grade data, try changing your filters.
Grades: 0
Median GPA: None
Mean GPA: None
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This professor/course combination hasn't been taught in the semesters you selected. To see more grade data, try changing your filters.
Grades: 0
Median GPA: None
Mean GPA: None
4
Professor rating
3.1
Difficulty
14
Ratings given
78%
Would take again
Foundations of Accounting Research
ACCT 7323
Naveen Jindal School of Management
The first half of the course introduces analytical research in accounting. Topics include accounting information-based valuation models, principal-agent models of moral hazard and adverse selection, and real effects of accounting information. Empirical implications and insights will be emphasized. The second half of the course covers methodologically grounded empirical research design by means of both null hypothesis testing strategies and estimation-driven inference. It focuses on the importance of understanding and conveying the inherent uncertainty attached to such inference in stochastic settings through the critical assessment of existing accounting research efforts. It also addresses the interplay between such methodological understanding and the methods employed in empirical analyses. May be repeated for credit as topics vary (9 semester credit hours maximum). Instructor consent required. 3 credit hours.
Offering Frequency: Every two years
This professor/course combination hasn't been taught in the semesters you selected. To see more grade data, try changing your filters.
Grades: 0
Median GPA: None
Mean GPA: None
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