Difference between revisions of "Syllabus"

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| 8/25 || Course overview, logistics, (motivating) examples and terminology || Chapters 1 & 2 ||[[Media:chapter0.pdf | Notes 0]]<br/>[[Media:Lecture1_nomenclature.pptx | Slides 1]] || Problems 2.1 & 2.2<br/>[[Media:review1_sol.pdf | and Solution]] ||  
 
| 8/25 || Course overview, logistics, (motivating) examples and terminology || Chapters 1 & 2 ||[[Media:chapter0.pdf | Notes 0]]<br/>[[Media:Lecture1_nomenclature.pptx | Slides 1]] || Problems 2.1 & 2.2<br/>[[Media:review1_sol.pdf | and Solution]] ||  
 
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| 8/27 || A brief review of probability topics, both basic and slightly more advanced, which are needed in the course || Chapters 3 & 5 || [[Media:proba1.pptx | Slides 2]]<br/>[[Media:Lec2.pdf | Lecture 2 problems]] ||[[Media:review2.pdf | Review 2 Problems]]<br/> and [[Media:rev2_sol.pdf | Solution]] ||
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| 8/27 || A brief review of probability topics, both basic and slightly more advanced, which are needed in the course || Chapters 3 & 5 || [[Media:proba1.pptx | Slides 2]]<br/> and [[Media:Lec2.pdf | Lecture 2 problems]] ||[[Media:review2.pdf | Review 2 Problems]]<br/> and [[Media:rev2_sol.pdf | Solution]] ||
 
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| 9/1 || A brief review of probability topics, both basic and slightly more advanced, which are needed in the course || Chapters 3 & 5 || [[Media:proba2.pptx | Slides 3]] || [[Media:review3.pdf | Review 3 Problems]]<br/> and [[Media:rev3_sol.pdf | Solution]]  ||
 
| 9/1 || A brief review of probability topics, both basic and slightly more advanced, which are needed in the course || Chapters 3 & 5 || [[Media:proba2.pptx | Slides 3]] || [[Media:review3.pdf | Review 3 Problems]]<br/> and [[Media:rev3_sol.pdf | Solution]]  ||
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| 9/17 || Some more on ergodicity & a brief review of ''z''-transforms || Chapter 9 & Chapter 25 (the parts about ''z''-transforms) || [[Media:z-transforms.pptx | Slides 6]] || [[Media:review8.pdf | Review 8 Problems]]<br/> and [[Media:rev8_sol.pdf | Solution]]  ||
 
| 9/17 || Some more on ergodicity & a brief review of ''z''-transforms || Chapter 9 & Chapter 25 (the parts about ''z''-transforms) || [[Media:z-transforms.pptx | Slides 6]] || [[Media:review8.pdf | Review 8 Problems]]<br/> and [[Media:rev8_sol.pdf | Solution]]  ||
 
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| 9/22 || Application examples (page rank & Aloha protocol) including applications of ''z''-transforms|| Chapter 10 || [[Media:DTMC_examples.pptx | Slides 7]]<br/>[[Media:Lec10.pdf | Lecture 10 problem]]  || [[Media:review9.pdf | Review 9 Problems]]<br/> and [[Media:rev9_sol.pdf | Solution]] ||
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| 9/22 || Application examples (page rank & Aloha protocol) including applications of ''z''-transforms|| Chapter 10 || [[Media:DTMC_examples.pptx | Slides 7]]<br/> and [[Media:Lec10.pdf | Lecture 10 problem]]  || [[Media:review9.pdf | Review 9 Problems]]<br/> and [[Media:rev9_sol.pdf | Solution]] ||
 
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|style="background-color: SpringGreen;"| 9/24 || Exponential distribution and Poisson process || Chapter 11 || [[Media:Poisson+exponential.pptx | Slides 8]]|| [[Media:review10.pdf | Review 10 Problems]]<br/> and [[Media:rev10_sol.pdf | Solution]] ||style="background-color: SpringGreen;"| [[Media:hwk2.pdf |HWK #2]]<br/> and [[Media:hwk2_sol.pdf | Solution]]
 
|style="background-color: SpringGreen;"| 9/24 || Exponential distribution and Poisson process || Chapter 11 || [[Media:Poisson+exponential.pptx | Slides 8]]|| [[Media:review10.pdf | Review 10 Problems]]<br/> and [[Media:rev10_sol.pdf | Solution]] ||style="background-color: SpringGreen;"| [[Media:hwk2.pdf |HWK #2]]<br/> and [[Media:hwk2_sol.pdf | Solution]]

Revision as of 14:36, 23 October 2015

Syllabus & (tentative) Schedule

THE INFORMATION ON THIS WIKI PAGE IS EVOLVING AND WILL BE UPDATED THROUGHOUT SEMESTER

Schedule at-a-glance

Legend: date (quizzes & exams) and due date (homeworks)

Hmwk Quizz Exam No class




Tu. Th. Tu. Th. Tu. Th. Tu. Th. Tu. Th.
August 25 27
September 1 3 8 10 15 17 22 24 29
October 1 6 8 13 15 20 22 27 29
November 3 5 10 12 17 19 24 26
December 1 3 15

FINAL EXAM: Tuesday December 15, 2015, 6:00-8:00pm Bryan 509D, i.e., the same room where we had our midterm.

Detailed Schedule & Syllabus

NOTE: This schedule in ONLY TENTATIVE, and VERY LIKELY to change as certain topics may end-up being harder or easier than anticipated. Changes to the schedule will be reflected as quickly as possible on this page.

Date Scope Material & Reading Assignments

(To Be Read Ahead of Class)

Notes & slides

(If any)

Review Problems Quizzes & Homeworks
8/25 Course overview, logistics, (motivating) examples and terminology Chapters 1 & 2 Notes 0
Slides 1
Problems 2.1 & 2.2
and Solution
8/27 A brief review of probability topics, both basic and slightly more advanced, which are needed in the course Chapters 3 & 5 Slides 2
and Lecture 2 problems
Review 2 Problems
and Solution
9/1 A brief review of probability topics, both basic and slightly more advanced, which are needed in the course Chapters 3 & 5 Slides 3 Review 3 Problems
and Solution
9/3 An introduction of general principles such as Little's Law and various other "laws" and bounds for closed system, which hold with little or no assumptions Chapters 6 & 7 Slides 4 Review 4 Problems
and Solution
9/8 A first foray into Markov chain focused on finite Markov chains and their applications to simple problems. Chapter 8 (Sections 8.1 to 8.7) Slides 5 Review 5 Problems
and Solution
9/10 Infinite Markov chains and some simple applications Chapter 8 (Sections 8.8 to 8.10) Slides 5 Review 6 Problems
and Solution
HWK #1
and Solution
9/15 Ergodicity for finite and infinite, discrete time Markov chains (DTMC) Chapter 9 Slides 5 Review 7 Problems
and Solution
Quiz 1
and Solution
9/17 Some more on ergodicity & a brief review of z-transforms Chapter 9 & Chapter 25 (the parts about z-transforms) Slides 6 Review 8 Problems
and Solution
9/22 Application examples (page rank & Aloha protocol) including applications of z-transforms Chapter 10 Slides 7
and Lecture 10 problem
Review 9 Problems
and Solution
9/24 Exponential distribution and Poisson process Chapter 11 Slides 8 Review 10 Problems
and Solution
HWK #2
and Solution
9/29 Introduction to continuous time Markov chains (CTMC) Chapter 12 Slides 9 Review 11 Problems
and Solution
10/1 M/M/1 queue & PASTA theorem Chapter 13 Slides 9
and Slides 8 (for PASTA)
Lecture 13 problems
Review 12 Problems
and Solution
10/6 M/M/k/k (Erlang-B formula) and M/M/k queueing systems Chapter 14 Slides 9 Review 13 Problems
and Solution
Quiz 2
and Solution
10/8 Applications to system provisioning Chapter 15 + Sections 8.11 & 8.12 of Zukerman's book (Hayward approximation and Equivalent Random Theory) Slides 10 Review 14 Problems
and Solution
HWK #3
and Solution
10/13 Revisiting time reversibility and applications to network of queues Chapter 16 Slides 11 Review 15 Problems
and Solution
10/15 IN CLASS MIDTERM AND SOLUTION
10/20 Jackson networks (of queues) and product form distribution Chapter 17 Slides 11
and Lecture 17 problems
Review 16 Problems
and Solution
10/22 Classed Jackson networks Chapter 18 Slides 11
and Lecture 18 problems
Review 17 Problems
and Solution
10/27 Closed Jackson networks & mean value analysis (MVA) Chapter 19 Slides 11 Review 18 Problems HWK #4
10/29 A quick introduction to Matrix-Analytic techniques and phase-type distributions Chapter 21
11/3 Processor sharing queues Chapter 22 Quiz 3
11/5 The M/G/1 queue and Renewal-Reward theorem Chapter 23
11/10 A brief foray into server assignment policies Chapter 24 HWK #5
11/12 Transform analysis of M/G/1 queue (and review of transforms) Chapter 25 and Chapter 26 (Section 1)
11/17 M/G/1 queue and application to power optimization Chapter 26 (Section 2) and Chapter 27 (Sections 1 and 2)
11/19 M/G/1 queue with setup and non-preemptive scheduling priorities Chapter 27 (Section 3) and Chapter 31
11/24 More on smart scheduling policies Chapters 28 & 29 HWK #6
11/26 NO CLASS - THANKSGIVING
12/1 Preemptive scheduling policies Chapter 30 (and Chapter 32 as time permits)
12/3 Review session - - - Quiz 4
12/15 FINAL EXAM (in Bryan 509D) i.e., the same room where we had our midterm.