ผลต่างระหว่างรุ่นของ "Probstat"
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Jittat (คุย | มีส่วนร่วม) |
Jittat (คุย | มีส่วนร่วม) |
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แถว 28: | แถว 28: | ||
* '''Week3''' | * '''Week3''' | ||
** '''Class cancelled''': Tuesday 9/2. | ** '''Class cancelled''': Tuesday 9/2. | ||
− | ** Independent events: [http://youtu.be/ilVF_3W8u4E youtube] | + | ** Conditional probability (revisited): |
− | ** Bayes' formula: [http://www.youtube.com/watch?v=_Dwd-ItL_uI part 1], [http://www.youtube.com/watch?v=lSqCHnsji1w part 2] | + | *** Independent events: [http://youtu.be/ilVF_3W8u4E youtube] |
+ | *** Bayes' formula: [http://www.youtube.com/watch?v=_Dwd-ItL_uI part 1], [http://www.youtube.com/watch?v=lSqCHnsji1w part 2] | ||
+ | ** Random variables: | ||
** [[Probstat/homework 1|Homework 1]] | ** [[Probstat/homework 1|Homework 1]] | ||
รุ่นแก้ไขเมื่อ 10:51, 3 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,
- 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
- Basic concepts
- Week3
- Class cancelled: Tuesday 9/2.
- Conditional probability (revisited):
- Random variables:
- Homework 1
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%