|
Date |
Topics |
Readings (from Lilja); See also Recommended Readings |
Slides |
1/22 |
Introduction; Metrics |
Ch 1, 2 (Lilja); Ch 1, 2, 3 (Jain) |
| 1/29 | Summarizing Measured Data | Ch 3 (Lilja); Ch 12 (Jain) | Lec 2 |
| 2/5 |
Computing
Confidence Intervals for Sample Data |
Ch 4
(Lilja); Ch 13 (Jain) |
Lec 3 |
| 2/12 |
Measuring
Performance |
Ch 6
(Lilja); Ch 9 (Bryant & O'Halloran) |
Lec 4 |
| 2/19 |
Simulation |
Ch 10
(Lilja); Ch 24-29 (Jain) |
Lec 5 |
| 2/26 |
Hypothesis Testing |
Ch 13
(Jain); |
Lec 6 |
| 2/26 |
Comparing Alternatives using Sample Data |
Ch 5
(Lilja); Ch 13 (Jain) |
Lec 7 |
| 3/5 |
Simple Regression Models |
Ch 8
(Lilja); Ch 14 (Jain) |
Lec 8 |
| 3/26 |
Analysis of Variation (ANOVA) |
Ch 6
(Lilja); Ch 20 (Jain) |
Lec 9 |
| 3/26, 4/2, 4/9 |
Design of Experiments |
Ch 9
(Lilja); Ch 16-19 (Jain) |
Lec 10, Lec 11 |
| 4/9 |
Workload Characterization |
Ch 6, 27 (Jain) |
Lec 12 |
| 4/16, 4/23 |
Queueing Analysis |
Ch 30-33 (Jain), Ch 11 (Lilja) |
Lec 13 |
4/23 |
Guest Lecture: Experimental techniques in Software Engineering: Prof. Jeff Offutt |
PDF |
| 4/30 |
Guest Lecture: Experimental techniques in AI and Machine Learning: Prof. Sean Luke |
PDF |
|