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5.0
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5.0
Difficulty
1,000
Ratings given
99%
Would take again
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Search Results
| Name | Grades | Rating | |||
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Not teaching in Spring 2026 | |||||
EE 3302 Andrea Fumagalli | |||||
B | |||||
Search Results
| Name | Grades | Rating | |||
|---|---|---|---|---|---|
Not teaching in Spring 2026 | |||||
EE 3302 Andrea Fumagalli | |||||
B | |||||
Grades: 670
Median GPA: B
Mean GPA: 3.048
4.4
Professor rating
3.4
Difficulty
20
Ratings given
63%
Would take again
Signals and Systems
EE 3302
Erik Jonsson School of Engineering and Computer Science
Introduces the fundamentals of continuous and discrete-time signal processing. Linear system analysis including convolution and impulse response, Fourier series, Fourier transform and applications, discrete-time signal analysis, sampling, and z-transform. Credit cannot be received for more than one of the following: BMEN 3302 or CE 3303 or EE 3302. 3 credit hours.
Prerequisite: ENGR 3300.
Offering Frequency: Each semester
Grades: 1,371
Median GPA: B
Mean GPA: 2.728
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Grades: 670
Median GPA: B
Mean GPA: 3.048
4.4
Professor rating
3.4
Difficulty
20
Ratings given
63%
Would take again
Signals and Systems
EE 3302
Erik Jonsson School of Engineering and Computer Science
Introduces the fundamentals of continuous and discrete-time signal processing. Linear system analysis including convolution and impulse response, Fourier series, Fourier transform and applications, discrete-time signal analysis, sampling, and z-transform. Credit cannot be received for more than one of the following: BMEN 3302 or CE 3303 or EE 3302. 3 credit hours.
Prerequisite: ENGR 3300.
Offering Frequency: Each semester
Grades: 1,371
Median GPA: B
Mean GPA: 2.728
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