Lecture Notes          

• Lecture notes in PDF are available before each class from this site.
• Use Acrobat Reader from Adobe to view and print the PDF files.
• It's important to read the related materials indicated in Relevant Reading section, based on the Lecture Notes.
• JAIN in Relevant Reading denotes the reference book "The Art of Computer Systems Performance Analysis: Techniques for Experimental Design, Measurement, Simulation, and Modeling" by R. Jain
• Allen in Relevant Reading denotes the required text "Probability, Statistics and Queuing Theory: with Computer Science Applications (2ND)" by A. Allen.
• Copyright (c) 2004-2021, Liudong Xing. All rights reserved. Personal use of this material is permitted.

Topic	Date	Notes	Relevant Reading
Syllabus & Operational Details Intro. to CSPE Background Survey	1/20 (W)	Lecture 1	A case study on Remote pipes vs. RPC (Slide 42) PDF Reference: JAIN: Ch. 2 & 3 Please download a copy of the background survey, and submit the completed survey to me via email to lxing@umassd.edu
Measurement Techniques & Tools	1/25 (M)	Lecture 2	Reference: JAIN: Ch. 4, 7, 12 An Syntheic Program Example (Slide 17): PDF A Software Monitor Example (Slide 26): PDF Solution to hands-on problems on Slides 31, 37, 38, 39
Experimental Design and Analysis	1/27 (W)	Lecture 3	Reference: JAIN: Part IV Solution to hands-on problems on Slide 23; Slide 35 HW#1 assigned
Simulations	2/1 (M)	Lecture 4	Example simulation programs (M/M/1) Two papers: Introduction to AweSim and AweSim: The Integrated Simulation System AweSim Lecture
Probability Theory (Review)	2/1 (M) 2/3 (W)	Lecture 5	Reference: Allen: Ch. 2.0-2.4 Solution to hands-on problems on Slides 16, 19, 22, 28 PDF Solution to extra-credit problem PDF HW#1 due; HW#2 assigned
Random Variables (Review)	2/3 (W) 2/8 (M)	Lecture 6	Reference: Allen: Ch. 2.5-2.6, 3.0-3.2 Solution to hands-on problem Part 1, Part 2, Part 3 Extra-Credit Question and Solution
Jointly Distributed R.V.	2/10 (W)	Lecture 7	Reference: Allen: Ch. 2.7 Solution to Hands-on Problems on Slides 8 & 11, Slide 19, Slide 21 Hybrid Min/Max Problem HW#2 due; HW#3 assigned
President's Day, No Class	2/15 (M)	No Class	Enjoy the long weekend!
Statistical Inference	2/16 (T)	Lecture 8	Tuesday Follows Monday's Schedule Lecture #8 is a self-study lecture Reference: Allen: Ch. 7.0-7.2 Proof of unbiasedness Slide 11, Slide 12
Stochastic Processes (I): Counting; Poisson; Birth-Death	2/16 (T) 2/17 (w)	Lecture 9	Reference: Allen: Ch. 4 Solution to Hands-on Problems on Slide 16 and Slides 7, 17, 23-24, 31
Stochastic Processes (II): Markov Processes	2/17 (W)	Lecture 10	HW#3 due; HW#4 assigned Reference: Allen: Ch. 4 Project proposal due by Friday (2/19)! Solution to Hands-on Problems on Slide 11, Slides 12, 16, Slide 17, Slides 27, 29 , Slide 30 Solution to Extra-Credit Question
Queueing Systems (I): D/D/1, M/M/1	2/24 (W)	Lecture 11	Allen: Ch. 5.0 ~ 5.2 HW#4 due by Friday, 2/26.
Midterm Review	3/1 (M)	Lecture 12	Preparation: L#2, 3, 5-7, 9, 10, HW#1-#4 Sample Questions
In-Class Midterm Exam	3/3 (W)	Exam	Good luck!!
Spring Break	3/8 (M) 3/10 (W)	No Classes	Enjoy the break!! Stay safe!