|
Date |
Topics |
Readings (from Lilja); See also Recommended Readings |
Slides |
|
9/1 |
Introduction; Metrics |
Lecture 1 |
|
|
9/8 |
Summarizing Measured Data |
Chapter 3, notes |
Lecture 2 |
|
9/15 |
Computing Confidence Intervals |
Chapter 4 |
Lecture 3 |
|
9/22 |
Measuring Performance |
Chapter 6 |
Lecture 4 |
|
9/22, 9/29 |
Simulation |
Chapter 10 |
Lecture 5 |
|
9/29 |
Hypothesis Testing |
Chapter 4, notes |
Lecture 6 |
|
10/6 |
Comparing Alternatives |
Chapter 5 |
Lecture 7 |
|
10/6, 10/20 |
Simple Regression Models |
Chapter 8 |
Lecture 8 |
|
10/20 |
Analysis of Variance (ANOVA) |
Chapter 6 |
Lecture 9 |
|
11/3 |
Design of Experiments |
Chapter 9 |
Lecture 10 |
|
11/10 |
Design of Experiments (cont'd) |
Chapter 9 |
Lecture 11 |
|
11/10 |
Workload Characterization/Data Analysis |
Chapter 6 |
Lecture 12 |
|
11/17 |
Data Clustering |
Lecture 13 |
|
|
11/17, 11/24 |
Queueing Analysis |
Chapter 11 |
Lecture 14 |