Harish Sankaranarayanan (Instructor) - Grade Details
(with breakdown by course)
Harish Sankaranarayanan - All Courses
Average Grade - 3.226
Median Grade - 3.5
Latest grades from Summer 2024
Harish Sankaranarayanan - Overview
| Course Number | Grade Info | Number of Students | Latest Grade Data | Breakdown |
|---|---|---|---|---|
| STT 200 | Average Grade - 3.206 Median Grade - 3.5 |
15670 | Spring 2024 | |
| STT 351 | Average Grade - 3.574 Median Grade - 4.0 |
799 | Summer 2024 | |
| STT 441 | Average Grade - 3.078 Median Grade - 3.5 |
90 | Summer 2023 | |
| STT 861 | Average Grade - 3.588 Median Grade - 4.0 |
34 | Fall 2023 | |
| STT 231 | Average Grade - 3.412 Median Grade - 3.5 |
253 | Spring 2017 | |
| STT 430 | Average Grade - 3.090 Median Grade - 3.5 |
39 | Spring 2019 |
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STT 200 - Statistical Methods
Data analysis, probability models, random variables, estimation, tests of hypotheses, confidence intervals, and simple linear regression.
Average Grade - 3.206
Median Grade - 3.5
Latest grades from Spring 2024
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STT 231 - Statistics for Scientists
Calculus-based course in probability and statistics. Probability models, and random variables. Estimation, confidence intervals, tests of hypotheses, and simple linear regression with applications in sciences.
Average Grade - 3.412
Median Grade - 3.5
Latest grades from Spring 2017
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STT 351 - Probability and Statistics for Engineering
Probability models and random variables. Estimation, confidence intervals, tests of hypotheses, simple linear regression. Applications to engineering.
Average Grade - 3.574
Median Grade - 4.0
Latest grades from Summer 2024
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STT 430 - Introduction to Probability and Statistics
Calculus-based probability and statistics with applications. Discrete and continuous random variables and their expectations. Point and interval estimation, tests of hypotheses, and simple linear regression.
Average Grade - 3.090
Median Grade - 3.5
Latest grades from Spring 2019
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STT 441 - Probability and Statistics I: Probability
Probability, conditional probability and independence. Random variables. Discrete, continuous, univariate, and multivariate distributions. Expectation and its properties, moment generating functions. Law of large numbers, central limit theorem.
Average Grade - 3.078
Median Grade - 3.5
Latest grades from Summer 2023
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STT 861 - Theory of Probability and Statistics I
Probability models, random variables and vectors. Special distributions including exponential family. Expected values, covariance matrices, moment generating functions. Convergence in probability and distribution. Weak Law of Large Numbers and Lyapunov Central Limit Theorem.
Average Grade - 3.588
Median Grade - 4.0
Latest grades from Fall 2023
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