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This is an approximate schedule of Lectures and Exams



¶g ½Ò ½Òµ{³æ¤¸ ¾\Ū¸ê®Æ ­«ÂI¤é´Á
1 1 ½Òµ{·§­nªì¤¶
Introduction, Overview
2 2 ¾÷²v½Æ²ß
Probability Review
°Ñ¦Ò®Ñ2.13»P2.14
Sections
2.13, 2.14
3 ¦æ¤H¬ï¶V°ÝÃD
Pedestrian Crossing Problem
°Ñ¦Ò®Ñ2.13, 2.14, 3.3.1¤p¸`
Sections
2.13, 2.14, 3.3.1
3 4 ÀH¾÷Åܶµ¨ç¼Æ¤@
Functions of Random Variables I
4 5 ÀH¾÷Åܶµ¨ç¼Æ¤G
Functions of Random Variables II
½Ò°ó¸É¥R¸ê®Æ¡A°Ñ¦Ò®Ñ3.5¤p¸`
Lecture Note, Section
3.5
6 ´X¦ó¾÷²v¤@
Geometrical Probability I
½Ò°ó¸É¥R¸ê®Æ¡A°Ñ¦Ò®Ñ2.1¤p¸`
Lecture Note, Section
2.1
5 7 ´X¦ó¾÷²v¤G
Geometrical Probability II
8 ¹B¿é¼Ò¦¡
Some Transportation Models
6 9 µ¥­Ô²z½×ªì¤¶¡G§Q¦«¤ó©w²z
Introduction to Queues: Little's Law
7 10 °¨¥i¤Ò¥Í¦ºÃìµ¥­Ô²z½×
Markov Birth-and-Death Queues
11 °¨¥i¤Òµ¥­Ô²z½×Á`¦X¹B¥Î
More General Markov Queues
8 12 M/G/1µ¥­Ô²z½×¤Î¨ä©µ¦ù
The M/G/1 Queue and Extensions
13 ¾Ã¶ë©w»ù
Congestion Pricing
9 ÀH°ó´úÅç¤@
Quiz #1
14 µ¥­Ô²z½×ªº°ÊºAªí²{
Dynamic Behavior of Queues
°Ñ¦Ò®Ñ5.1, 5.2, 5.3¤p¸`¡]5.3.5¤p¸`°£¥~¡^
Sections
5.1, 5.2, 5.3(excluding 5.3.5)
10 15 ¦hºûµ¥­Ô¼Ò¦¡
Hypercube Queueing Model
°Ñ¦Ò®Ñ5.4¤p¸`¡]5.4.5¤p¸`°£¥~¡^¡B5.8¤p¸`
Sections
5.4(excluding 5.4.5), 5.8
16 µ¥­Ô±À½×¸Ñºâ¤u¨ã
The Queue Inference Engine
11 17 ºô¸ô¡Gªì¤¶
Networks: Introduction
°Ñ¦Ò®Ñ6.1, 6.2¤p¸`¡]6.2.2»P6.2.3¤p¸`°£¥~¡^¡B6.3¤p¸`
Sections
6.1, 6.2(excluding 6.2.2 and 6.2.3), 6.3
12 18 ³]¬I°Ï¦ì°ÝÃD
Facility Location Problems
19 ¾÷²v«¬°Ï¦ì°ÝÃD
Probabilistic Location Problems
°Ñ¦Ò®Ñ6.5¤p¸`¡]6.5.6»P6.5.7¤p¸`°£¥~¡^
Section
6.5(excluding 6.5.6 and 6.5.7)
13 20 Ãä¬É²[»\»P¸`ÂI²[»\
Edge and Node Covering
°Ñ¦Ò®Ñ6.4¤p¸`
Section
6.4
21 ¾÷²v«¬¸ô½u³W¹º°ÝÃD
Probabilistic Routing Problems
°Ñ¦Ò®Ñ6.4¤p¸`
Section
6.4
14 22 ¼ÒÀÀÀH¾÷
Simulating Randomness
ÀH°ó´úÅç¤G
Quiz #2
15 23 ²z½×¤§À³¥Î
Implementation
24 ¾Ç´Á½Òµ{µ²§ô
Final Round Up!

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