Difference between revisions of "Syllabus"

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| 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) || || [[Media:review5.pdf | Review 5 Problems]] || 5
 
| 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) || || [[Media:review5.pdf | Review 5 Problems]] || 5
 
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|style="background-color: SpringGreen;"| 9/10 || || || || ||style="background-color: SpringGreen;"| [[Media:hwk1.pdf |HWK #1]]
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|style="background-color: SpringGreen;"| 9/10 || Infinite Markov chains and some simple application || Chapter 8 (Sections 8.8 to 8.10) || || ||style="background-color: SpringGreen;"| [[Media:hwk1.pdf |HWK #1]]
 
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|style="background-color: SkyBlue;"| 9/15 || || || || ||style="background-color: SkyBlue;"| Quiz 1
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|style="background-color: SkyBlue;"| 9/15 || Ergodicity for finite and infinite, discrete time Markov chains (DTMC) || Chapter 9 (Sections 9.1 to 9.3)  || || ||style="background-color: SkyBlue;"| Quiz 1
 
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| 9/17 || || || || ||
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| 9/17 || Ergodicity theorem and its applications (balance equations) || Chapter 9 (Sections 9.4 to 9.9) || || ||
 
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| 9/22 || || || || ||
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| 9/22 || Application examples (page rank & Aloha protocol) and first review of ''z''-transforms|| Chapter 10 || || ||
 
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|style="background-color: SpringGreen;"| 9/24 || || || || ||style="background-color: SpringGreen;"| HWK #2
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|style="background-color: SpringGreen;"| 9/24 || Exponential distribution and Poisson process || Chapter 11 || || ||style="background-color: SpringGreen;"| HWK #2
 
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| 9/29 || || || || ||  
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| 9/29 || Introduction to continuous time Markov chains (CTMC) || Chapter 12 || || ||  
 
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| 10/1 || || || || ||  
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| 10/1 || M/M/1 queue & PASTA theorem|| Chapter 13 || || ||  
 
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|style="background-color: SkyBlue;"| 10/6 || || || || ||style="background-color: SkyBlue;"| Quiz 2
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|style="background-color: SkyBlue;"| 10/6 || M/M/k/k (Erlang-B formula) and M/M/k queueing systems || Chapter 14 || || ||style="background-color: SkyBlue;"| Quiz 2
 
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|style="background-color: SpringGreen;"| 10/8 || || || || ||style="background-color: SpringGreen;"| HWK #3
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|style="background-color: SpringGreen;"| 10/8 || Applications to system provisioning || Chapter 15 || || ||style="background-color: SpringGreen;"| HWK #3
 
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|style="background-color: yellow;"| 10/13 || style="background-color: yellow;"| '''IN CLASS MIDTERM''' ||style="background-color: yellow;"| ||style="background-color: yellow;"| ||style="background-color: yellow;"| ||style="background-color: yellow;"|
 
|style="background-color: yellow;"| 10/13 || style="background-color: yellow;"| '''IN CLASS MIDTERM''' ||style="background-color: yellow;"| ||style="background-color: yellow;"| ||style="background-color: yellow;"| ||style="background-color: yellow;"|
 
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| 10/15 || || || || ||
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| 10/15 || Revisiting time reversibility and applications to network of queues || Chapter 16 || || ||
 
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| 10/20 || || || || ||
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| 10/20 || Jackson networks (of queues) and product form distribution || Chapter 17 || || ||
 
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| 10/22 || || || || ||
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| 10/22 || Classed Jackson networks || Chapter 18 || || ||
 
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|style="background-color: SpringGreen;"| 10/27 || || || || ||style="background-color: SpringGreen;"| HWK #4
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|style="background-color: SpringGreen;"| 10/27 || Closed Jackson networks & mean value analysis (MVA) || Chapter 19 || || ||style="background-color: SpringGreen;"| HWK #4
 
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| 10/29 || || || || ||
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| 10/29 || A quick introduction to Matrix-Analytic techniques and phase-type distributions || Chapter 21 || || ||
 
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|style="background-color: SkyBlue;"| 11/3 || || || || ||style="background-color: SkyBlue;"| Quiz 3
 
|style="background-color: SkyBlue;"| 11/3 || || || || ||style="background-color: SkyBlue;"| Quiz 3

Revision as of 14:33, 7 September 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 in TBD.

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
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) Review 5 Problems 5
9/10 Infinite Markov chains and some simple application Chapter 8 (Sections 8.8 to 8.10) HWK #1
9/15 Ergodicity for finite and infinite, discrete time Markov chains (DTMC) Chapter 9 (Sections 9.1 to 9.3) Quiz 1
9/17 Ergodicity theorem and its applications (balance equations) Chapter 9 (Sections 9.4 to 9.9)
9/22 Application examples (page rank & Aloha protocol) and first review of z-transforms Chapter 10
9/24 Exponential distribution and Poisson process Chapter 11 HWK #2
9/29 Introduction to continuous time Markov chains (CTMC) Chapter 12
10/1 M/M/1 queue & PASTA theorem Chapter 13
10/6 M/M/k/k (Erlang-B formula) and M/M/k queueing systems Chapter 14 Quiz 2
10/8 Applications to system provisioning Chapter 15 HWK #3
10/13 IN CLASS MIDTERM
10/15 Revisiting time reversibility and applications to network of queues Chapter 16
10/20 Jackson networks (of queues) and product form distribution Chapter 17
10/22 Classed Jackson networks Chapter 18
10/27 Closed Jackson networks & mean value analysis (MVA) Chapter 19 HWK #4
10/29 A quick introduction to Matrix-Analytic techniques and phase-type distributions Chapter 21
11/3 Quiz 3
11/5
11/10 HWK #5
11/12
11/17
11/19
11/24 HWK #6
11/26 NO CLASS - THANKSGIVING
12/1
12/3 Review session - - - Quiz 4
12/15 FINAL EXAM