ผลต่างระหว่างรุ่นของ "Probstat"

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** Basic concepts
 
** Basic concepts
 
*** Part 1: [http://www.youtube.com/watch?v=pe_-yh6WD-8 Outcomes, Sample Spaces, and Events]
 
*** Part 1: [http://www.youtube.com/watch?v=pe_-yh6WD-8 Outcomes, Sample Spaces, and Events]
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*** Part 2: [http://www.youtube.com/watch?v=8BqPUAbaXY0 Conditional probability (1)]
 
** [[Probstat/random word|Random word practice 1]]
 
** [[Probstat/random word|Random word practice 1]]
  

รุ่นแก้ไขเมื่อ 00:01, 21 สิงหาคม 2557

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

Materials

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%