ENGIN
322 SYLLABUS (Spring 09)
|
Class |
Date |
Reading assignments (Cooper & McGillem) |
Topics |
Home-works assignments (end
of chapters) |
Exams and due dates |
|
1 |
Jan 27 |
1.1-1.4 |
Probability and Randomness in Engineering; Relative-frequency
Approach |
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2 |
Jan 29 |
1.5-1.6 |
Set theory; Axiomatic Approach |
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3 |
Feb 3 |
1.7-1.11 |
Conditional Probability; Combined Experiments |
HW1 (Ch.1) 4.5; 6.1; 7.1; 8.4 |
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4 |
Feb 5 |
2.1-2.3 |
Random Variables; Distribution and Density Functions |
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|
5 |
Feb 10 |
2.4-2.5 |
Mean Values and Moments; Gaussian Random Variable |
HW2 (Ch.2) 2.3; 3.4; 4.4; 5.2 |
HW1 due |
|
6 |
Feb 12 |
2.6; 2.8 |
Other Density Functions; Conditional Prob. Distr. And Density
Functions |
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|
7 |
Feb 17 |
2.9 |
Examples and Applications |
HW3 (Ch.2) 6.4; 7.1; 8.2; 9.3 |
HW2 due |
|
8 |
Feb 19 |
3.1-3.2 |
Two Random Variables; Conditional Probability |
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|
9 |
Feb 24 |
3.3-3.5 |
Statistical Independence; Correlation; Density Function of the
Sum of two Rand. Variables |
HW4 (Ch.3) 1.2; 2.1; 3.3; 4.4 |
HW3 due |
|
10 |
Feb 26 |
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Exam 1 |
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|
11 |
Mar 3 |
4.1-4.3 |
The Sample Mean and the Sample Variance |
HW 5 (Ch 4) 2.4; 2.7; 3.3; 3.4 |
HW4 due |
|
12 |
Mar 5 |
4.4-4.5 |
Sampling Distributions and Confidence Intervals; Hypothesis
Testing |
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|
13 |
Mar 10 |
4.6-4.7 |
Curve Fitting and Linear Regression; Correlation between two Sets
of Data |
HW 6 (Ch.4) 3.2; 5.5 |
HW 5 due |
|
14 |
Mar 12 |
5.1-5.2 |
Random Processes |
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15 |
5.2-5.6 |
Random Processes (cont.) |
HW 7 (Ch.6) 3.2; 5.3; 5.4 |
HW6 due |
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16 |
6.1-6.3 |
Autocorrelation Function of a Binary Process; Properties |
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17 |
6.5-6.8 |
Cross-correlation Functions; Properties and Examples |
HW 8 (Ch.6) 7.1; 8.2 |
HW 7 due |
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18 |
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Exam 2 |
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|
19 |
7.1-7.3 |
Spectral Density and Fourier Transform; Properties |
HW 9 (Ch 7) 2.2; 3.1; 4.1; 5.4;
6.2; 8.1 |
HW 8 due |
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20 |
7.4-7.5 |
Complex Frequency Plane; Mean-Square Values |
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21 |
7.6-7.7 |
Relation to the Autocorrelation Function; White Noise |
HW 10 (Ch 8) 3.3;4.1;4.4;7.1 |
HW 9 due |
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22 |
7.8; 7.10-11 |
Cross-Spectral Density; Periodogram
Estimate; Examples |
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|
23 |
8.1-8.4 |
Analysis in Time Domain; Mean and Mean-Square Value;
Autocorrelation of System Output |
HW 11 |
HW 10 due |
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24 |
8.5-8.6 |
Xcorrelation between Input and
Output |
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|
25 |
8.7-8.10 |
Frequency Domain Analysis |
HW 12 |
HW 11 due |
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26 |
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Exam 3 |
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27 |
Oppenheim 10.1-3 |
Z-Transform |
HW 13 |
HW 12 due |
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28 |
Oppenheim 11.3-5 |
Inverse z-Transform; Properties |
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29 |
Oppenheim 11.6-11.7 |
Common tranform pairs; LTI system
characterization using z-transforms |
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HW 13 due |
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Final Exam S-3-126 |
Check Wiser for date&time Will be in S-3-126 |
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Final Exam |