Hayder Radha (Instructor) - Grade Details
(with breakdown by course)
Hayder Radha - All Courses
Average Grade - 3.508
Median Grade - 3.5
Latest grades from Spring 2024
Hayder Radha - Overview
| Course Number | Grade Info | Number of Students | Latest Grade Data | Breakdown | ||
|---|---|---|---|---|---|---|
| ECE 863 | Average Grade - 3.453 Median Grade - 3.5 |
99 | Fall 2022 | |||
| ECE 867 | Average Grade - 3.632 Median Grade - 3.5 |
39 | Fall 2013 | |||
| ECE 457 | Average Grade - 3.029 Median Grade - 3.0 |
34 | Spring 2012 | |||
| ECE 868 | Average Grade - 3.818 Median Grade - 4.0 |
11 | Spring 2013 | |||
| ECE 466 | Average Grade - 3.513 Median Grade - 3.5 |
45 | Spring 2021 | |||
| ECE 864 | Average Grade - 3.614 Median Grade - 3.5 |
92 | Spring 2024 | |||
| ECE 458 | Average Grade - 3.674 Median Grade - 4.0 |
23 | Spring 2022 | |||
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ECE 457 - Communication Systems
Representation and processing of signals in the presence of noise. System performance. Modulation, detection, and coding of information. System design applications in radar, sonar, radio, television, satellite communications, digital telephony, and wireless systems.
Average Grade - 3.029
Median Grade - 3.0
Latest grades from Spring 2012
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ECE 458 - Communication Systems Laboratory
A projects laboratory in communication systems.
Average Grade - 3.674
Median Grade - 4.0
Latest grades from Spring 2022
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ECE 466 - Digital Signal Processing
Discrete Fourier transforms, sampling theorem, circular convolution, Z-transforms. Design of finite impulse response filters. Applications of digital signal processing to multidimensional signals and machine learning.
Average Grade - 3.513
Median Grade - 3.5
Latest grades from Spring 2021
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ECE 863 - Analysis of Stochastic Systems
Advanced topics in random variable theory. Stochastic processes and stochastic calculus. Optimal systems for filtering and detection.
Average Grade - 3.453
Median Grade - 3.5
Latest grades from Fall 2022
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ECE 864 - Detection and Estimation Theory
Analysis and implementation of statistical estimation and detection methods used in signal processing, communications, and control applications. Bayesian, Neyman-Pearson, and minimax detection schemes. Bayesian, mean-square-error, and maximum-likelihood estimation methods.
Average Grade - 3.614
Median Grade - 3.5
Latest grades from Spring 2024
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ECE 867 - Information Theory and Coding
Shannon information measures. Uniqueness theorem and chain rules of the entropy measures. Kullback-Leibler relative-entropy. The I-measure. Asymptotic Equipartition Property (AEP) for various sources. Channel capacity; discrete-memoryless and symmetric channels. The channel coding theorem. Rate-distortion theory. Applications of coding to modern communications and compression methods such as image
Average Grade - 3.632
Median Grade - 3.5
Latest grades from Fall 2013
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ECE 868 - Signal Compression
Signal compression systems. Transform coding and signal compaction. The Karhunen Lòeve Transform (KLT). The Discrete Cosine Transform (DCT). Relationship between DCT and KLT. Quantization of signals. Lloyd-Max and Entropy Coded scalar quantization. Entropy coding. Huffman and arithmetic entropy coding. Rate distortion theory. Communication channel models for compressed signals.
Average Grade - 3.818
Median Grade - 4.0
Latest grades from Spring 2013
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