Probability for Computer Science (89262)


Course books:

Sheldon Ross, A First Course in Probability, 8th ed., 2010 (there exists a Hebrew version)

Athanasios Papoulis, Probability, Random Variables and Stochastic Processes, 4th ed., 2002


Lecture notes:

  1. Lecture 1 - Axioms of probability

  2. Lecture 2 - Conditional probability

  3. Lecture 3 - Conditional probability, independance and random variables

  4. Lecture 4 - Random variables

  5. Lecture 5 - Families of discrete variables

  6. Lecture 6 - Continuous random variables

  7. Lecture 7 - Normal distribution, disribution of two random variables

  8. Lecture 8 - Disribution of two random variables

  9. Lecture 9 - Convolusion

  10. Lecture 10 - Properties of expectatiom, covariave and correlation

  11. Lecture 11 - Markov, Chebyshev and Central Limit Theorem

  12. Lecture 12 - Preparating for the exame - Last year extra class


Tirgul:

Tirgul notes and Assignments can be found on Piazza resources.

A discussion group for this course is available on Piazza Q&A.

Before the first use, you need to register using this link with the code "89262".

The assignment should be submited to Michael Isjaki's box number 12 in Bldg 216.


Resources:

Combinatorics formulas

Probbility formulas for the exam


Exams:

  1. Exam 2014 a

  2. Exam 2014 a - solution

  3. Exam 2014 b

  4. Exam 2014 b - solution

  5. Exam 2015 a

  6. Exam 2015 a - solution

  7. Exam 2015 b

  8. Exam 2015 b - solution

  9. Exam 2016 a

  10. Exam 2016 b

  11. Exam 2016 b - solution