ผลต่างระหว่างรุ่นของ "Probstat"
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Jittat (คุย | มีส่วนร่วม) |
Jittat (คุย | มีส่วนร่วม) |
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| แถว 23: | แถว 23: | ||
*** 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] | *** 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]] | ** [[Probstat/week2 practice 1|Week2 Practice 1]] | ||
| − | ** Axioms of probability: [www.youtube.com/watch?v=mtBYshFG-2w youtube] | + | ** Axioms of probability: [http://www.youtube.com/watch?v=mtBYshFG-2w youtube] |
** Conditional probability: [http://www.youtube.com/watch?v=XRy2yTpN4ZA part3], part4 | ** Conditional probability: [http://www.youtube.com/watch?v=XRy2yTpN4ZA part3], part4 | ||
** [[Probstat/week2 practice 2|Week2 Practice 2]] | ** [[Probstat/week2 practice 2|Week2 Practice 2]] | ||
รุ่นแก้ไขเมื่อ 06:33, 28 สิงหาคม 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,
- Week1
- Introduction VDO: youtube
- Coin Toss Experiments
- Fun with statistics 1
- Basic concepts
- Part 1: Outcomes, Sample Spaces, and Events
- Part 2: Conditional probability (1)
- Random word practice 1
- Week2
- Basic concepts
- Part 3: Conditional probability (2) -- The clip contains errors at the end. Please see the annotations.
- Counting
- Part 1: Basic principles of counting
- Part 2: Permutations and Combinations Part 2.1, Part 2.2, Part 2.3
- Week2 Practice 1
- Axioms of probability: youtube
- Conditional probability: part3, part4
- Week2 Practice 2
- Basic concepts
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%
