Anna Janicka -- Probability Calculus 2018/2019
LECTURES
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Lecture 1
Presentation 1
Introduction to probability.
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Lecture 2
Presentation 2
Conditional Probability.
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Lecture 3
Presentation 3
Independence of events. Bernoulli process. Poisson Theorem.
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Lecture 4
Presentation 4
Introduction to random variables.
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Lecture 5
Presentation 5
Cumulative Distribution Function.
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Lecture 6
Presentation 6
Quantiles. Expected value of a RV.
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Lecture 7
Presentation 7
Variance. Moments.
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Lecture 8
Presentation 8
Random Vectors.
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Lecture 8
Presentation 9
Random Vectors - cont.
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Lecture
Presentation 10
Independence of random variables.
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Lecture
Presentation 11
Conditional Expectation.
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Lecture
Presentation 12
Chebyshev inequalities. Convergence of random variables. Laws of Large Numbers
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Lecture
Presentation 13
Central Limit Theorem
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Lecture
Presentation 14
Markov Chains
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Lecture
Presentation 15
Markov Chains -- cont. Some important distributions.
PROBLEM SETS
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Problem set 1
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Problem set 2
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Problem set 3
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Problem set 4
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Problem set 5
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Problem set 6
Problem set 5+6 (for those groups which did not have classes on October 31st)
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Problem set 7
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Problem set 8
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Problem set 9
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Problem set 10
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Problem set 11
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Problem set 12
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Problem set 13
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Problem set 14
HOMEWORK
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Homework set 1 (to be returned on October 10th)
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Homework set 2 (to be returned on October 17th)
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Homework set 3 (to be returned on October 24th)
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Homework set 4 (to be returned on October 31st)
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Homework set 5 (to be returned on November 14th)
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Homework set 6 (to be returned on November 21st)
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Homework set 7 (to be returned on November 28th)
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Homework set 8 (to be returned on December 12th)
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Homework set 9 (to be returned on December 19th)
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Homework set 10 (to be returned on January 9th)
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Homework set 11 (to be returned on January 16th)
ADDITIONAL MATERIALS
- Course
Rules
- Midterm
2017
2016
2015
2014
2013
2012
- Final Exam, 1st term
2017
2016
2015
2014
2012