ผลต่างระหว่างรุ่นของ "Probstat"

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''Many of the exercises are taken from various sources, listed here: FCP = Ross, A First Course in Probability, Macmillan, 1984; SPS = Spiegel, Schiller, Srinivasan, Schaum's outlines Probability and Statistics Fourth Edition.  Mc-Graw-Hill, 2013; IPSES = Ross, Introduction of Probability and Statistics for Engineers and Scientists, Wiley, 1987.''
 
''Many of the exercises are taken from various sources, listed here: FCP = Ross, A First Course in Probability, Macmillan, 1984; SPS = Spiegel, Schiller, Srinivasan, Schaum's outlines Probability and Statistics Fourth Edition.  Mc-Graw-Hill, 2013; IPSES = Ross, Introduction of Probability and Statistics for Engineers and Scientists, Wiley, 1987.''
  
* '''Week1'''
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=== Week1 ===
** Introduction VDO: [http://www.youtube.com/watch?v=ZPj-v1y4ViM youtube]
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* Introduction VDO: [http://www.youtube.com/watch?v=ZPj-v1y4ViM youtube]
** [[Probstat/coin toss experiments|Coin Toss Experiments]]
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* [[Probstat/coin toss experiments|Coin Toss Experiments]]
** [[Probstat/fun with statistics 1|Fun with statistics 1]]
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* [[Probstat/fun with statistics 1|Fun with statistics 1]]
** Basic concepts
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* Basic concepts
*** Part 1: [http://www.youtube.com/watch?v=pe_-yh6WD-8 Outcomes, Sample Spaces, and Events]
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** Part 1: [http://www.youtube.com/watch?v=pe_-yh6WD-8 Outcomes, Sample Spaces, and Events]
*** Part 2: [http://www.youtube.com/watch?v=8BqPUAbaXY0 Conditional probability (1)]
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** Part 2: [http://www.youtube.com/watch?v=8BqPUAbaXY0 Conditional probability (1)]
** [[Probstat/random word|Random word practice 1]]
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* [[Probstat/random word|Random word practice 1]]
  
* '''Week2'''
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=== Week2 ===
** Basic concepts
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* Basic concepts
*** Part 3: [http://www.youtube.com/watch?v=8dv95mM1e7E Conditional probability (2)] -- The clip contains errors at the end.  Please see the annotations.
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** Part 3: [http://www.youtube.com/watch?v=8dv95mM1e7E Conditional probability (2)] -- The clip contains errors at the end.  Please see the annotations.
** Counting
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* Counting
*** Part 1: [http://www.youtube.com/watch?v=w8MiMVWdWEM Basic principles of counting]
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** Part 1: [http://www.youtube.com/watch?v=w8MiMVWdWEM Basic principles of counting]
*** Part 2: Permutations and Combinations [http://www.youtube.com/watch?v=SxAbAoCPrTA Part 2.1], [http://www.youtube.com/watch?v=q1z43uBbot0 Part 2.2], [http://www.youtube.com/watch?v=TtK8pSlaGOI Part 2.3]
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** Part 2: Permutations and Combinations [http://www.youtube.com/watch?v=SxAbAoCPrTA Part 2.1], [http://www.youtube.com/watch?v=q1z43uBbot0 Part 2.2], [http://www.youtube.com/watch?v=TtK8pSlaGOI Part 2.3]
** [[Probstat/week2 practice 1|Week2 Practice 1]]
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* [[Probstat/week2 practice 1|Week2 Practice 1]]
** Axioms of probability: [http://www.youtube.com/watch?v=mtBYshFG-2w youtube]
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* Axioms of probability: [http://www.youtube.com/watch?v=mtBYshFG-2w youtube]
** Conditional probability: [http://www.youtube.com/watch?v=XRy2yTpN4ZA part3]
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* Conditional probability: [http://www.youtube.com/watch?v=XRy2yTpN4ZA part3]
  
* '''Week3'''
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=== Week3 ===
** '''Class cancelled''': Tuesday 9/2.
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* '''Class cancelled''': Tuesday 9/2.
** Conditional probability (revisited):
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* Conditional probability (revisited):
*** Independent events: [http://youtu.be/ilVF_3W8u4E youtube]
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** Independent events: [http://youtu.be/ilVF_3W8u4E youtube]
*** Bayes' formula: [http://www.youtube.com/watch?v=zPs7vIdSpWo part 1], [http://www.youtube.com/watch?v=lSqCHnsji1w part 2]
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** Bayes' formula: [http://www.youtube.com/watch?v=zPs7vIdSpWo part 1], [http://www.youtube.com/watch?v=lSqCHnsji1w part 2]
** [[Probstat/homework 1|Homework 1]]
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* [[Probstat/homework 1|Homework 1]]
  
* '''Week4'''
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=== Week4 ===
** Random variables:
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* Random variables:
*** [http://www.youtube.com/watch?v=BfjpozzA8jY Part 1]
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** [http://www.youtube.com/watch?v=BfjpozzA8jY Part 1]
*** [http://www.youtube.com/watch?v=Va7fqA-e4Lg Part 2.1] - Expectations, balls and bins experiment  
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** [http://www.youtube.com/watch?v=Va7fqA-e4Lg Part 2.1] - Expectations, balls and bins experiment  
*** [http://www.youtube.com/watch?v=LZ-DCHPJtn0 Part 2.2] - Warm-up problems
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** [http://www.youtube.com/watch?v=LZ-DCHPJtn0 Part 2.2] - Warm-up problems
*** [http://www.youtube.com/watch?v=I2uk7Iz8PnY Part 2.3] - First Trial to Compute the Expectation  
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** [http://www.youtube.com/watch?v=I2uk7Iz8PnY Part 2.3] - First Trial to Compute the Expectation  
*** [http://www.youtube.com/watch?v=FtgUR9vDcaE Part 2.4] - The expected number of empty bins
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** [http://www.youtube.com/watch?v=FtgUR9vDcaE Part 2.4] - The expected number of empty bins
** [[Probstat/week4 practice 1|Week4 Practice 1]]
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* [[Probstat/week4 practice 1|Week4 Practice 1]]
** Variances: [http://www.youtube.com/watch?v=8eL0Qb935uk Part 1], [http://www.youtube.com/watch?v=FHxRVl1dq00 Part 2]
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* Variances: [http://www.youtube.com/watch?v=8eL0Qb935uk Part 1], [http://www.youtube.com/watch?v=FHxRVl1dq00 Part 2]
** [[Probstat/week4 practice 2|Week4 Practice 2]] -- '''E[X<sup>2</sup>]'''.
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* [[Probstat/week4 practice 2|Week4 Practice 2]] -- '''E[X<sup>2</sup>]'''.
** (Watch this later.) Proof of the linearity of expectation: [http://www.youtube.com/watch?v=zko4MQw2MNQ youtube]
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* (Watch this later.) Proof of the linearity of expectation: [http://www.youtube.com/watch?v=zko4MQw2MNQ youtube]
  
* '''Week5'''
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=== Week5 ===
** Analysis of the fullest bins: [http://www.youtube.com/watch?v=nhW81rwKSps Part 1], [http://www.youtube.com/watch?v=2NkVgInKhRY Part 2], [http://www.youtube.com/watch?v=YZf2hogot2U Part 3]
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* Analysis of the fullest bins: [http://www.youtube.com/watch?v=nhW81rwKSps Part 1], [http://www.youtube.com/watch?v=2NkVgInKhRY Part 2], [http://www.youtube.com/watch?v=YZf2hogot2U Part 3]
** [http://www.youtube.com/watch?v=r-kSD4RctZQ Examples on variances]
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* [http://www.youtube.com/watch?v=r-kSD4RctZQ Examples on variances]
** Important types of discrete random variables
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* Important types of discrete random variables
*** [http://www.youtube.com/watch?v=NU1UmNXxt_k Binomial random variables]
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** [http://www.youtube.com/watch?v=NU1UmNXxt_k Binomial random variables]
*** [http://www.youtube.com/watch?v=OqJfKb9Q18M Geometric random variables]
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** [http://www.youtube.com/watch?v=OqJfKb9Q18M Geometric random variables]
** [[Probstat/week5 practice 1|Week5 Practice 1]]
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* [[Probstat/week5 practice 1|Week5 Practice 1]]
** Independent random variables: [http://www.youtube.com/watch?v=PN8wnrZzhE8 Part 1], [http://www.youtube.com/watch?v=FrHsnzA9AOs Part 2]
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* Independent random variables: [http://www.youtube.com/watch?v=PN8wnrZzhE8 Part 1], [http://www.youtube.com/watch?v=FrHsnzA9AOs Part 2]
** [[Probstat/week5 practice 2|Week5 Practice 2]]
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* [[Probstat/week5 practice 2|Week5 Practice 2]]
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=== Week6 ===
 
=== Lecture notes ===
 
=== Lecture notes ===
 
These notes are meant to be used in complement to the video lectures.  They only contain summary of the materials discussed in the video.  Don't use them to avoid watching the clips please.
 
These notes are meant to be used in complement to the video lectures.  They only contain summary of the materials discussed in the video.  Don't use them to avoid watching the clips please.

รุ่นแก้ไขเมื่อ 13:30, 22 กันยายน 2557

This is a course web page for the course Probability and Statistics for Computer and Software Engineers.

Materials

Many of the exercises are taken from various sources, listed here: FCP = Ross, A First Course in Probability, Macmillan, 1984; SPS = Spiegel, Schiller, Srinivasan, Schaum's outlines Probability and Statistics Fourth Edition. Mc-Graw-Hill, 2013; IPSES = Ross, Introduction of Probability and Statistics for Engineers and Scientists, Wiley, 1987.

Week1

Week2

Week3

Week4

Week5

Week6

Lecture notes

These notes are meant to be used in complement to the video lectures. They only contain summary of the materials discussed in the video. Don't use them to avoid watching the clips please.

Topics

  • Course introduction
  • Probability theory
    • Introduction to various concepts in probability theory
    • Elements of probability: axioms of probability, conditional probability, independence, Bayes' formula
    • Discrete random variables and expectations: random variables, expected values, variances, jointly distributed random variables
    • Tail bounds and analysis of randomized algorithms
    • Continuous random variables
  • Statistics
    • Sampling
    • Parameter estimation
    • Hypothesis testing
    • Regression
    • Analysis of Variance

Administrative information

  • Score breakdown: in-class activities 19%, projects 27%, midterm exam 27%, final exam 27%