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Search Results
| Name | Grades | Rating | |||
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EESC 6343 (Overall) | |||||
A- | |||||
EESC 6343 Naofal Al-Dhahir | |||||
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| Name | Grades | Rating | |||
|---|---|---|---|---|---|
EESC 6343 (Overall) | |||||
A- | |||||
EESC 6343 Naofal Al-Dhahir | |||||
A- | |||||
Detection and Estimation Theory
EESC 6343
Erik Jonsson School of Engineering and Computer Science
Parameter estimation. Least-squares, mean-square-error, and minimum-variance estimators. Maximum A Posteriori (MAP) and Maximum-Likelihood (ML) estimators. Bayes estimation. Cramer- Rao lower bound. BLUE estimator and Wiener filtering. Hypothesis testing and data-driven classification algorithms. 3 credit hours.
Corequisite: EESC 6349 or MECH 6312 or equivalent.
Offering Frequency: Based on student interest and instructor availability
Grades: 40
Median GPA: A-
Mean GPA: 3.333
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Detection and Estimation Theory
EESC 6343
Erik Jonsson School of Engineering and Computer Science
Parameter estimation. Least-squares, mean-square-error, and minimum-variance estimators. Maximum A Posteriori (MAP) and Maximum-Likelihood (ML) estimators. Bayes estimation. Cramer- Rao lower bound. BLUE estimator and Wiener filtering. Hypothesis testing and data-driven classification algorithms. 3 credit hours.
Corequisite: EESC 6349 or MECH 6312 or equivalent.
Offering Frequency: Based on student interest and instructor availability
Grades: 40
Median GPA: A-
Mean GPA: 3.333
Click a checkbox to add something to compare.