Results of the semester are here for those who requested that I publish them online

This was the final exam, and here are the solutions.

This was the midterm exam, and here are the solutions.

These were the questions of the "placement test".

Homework sheet 1. Solutions here.

Homework sheet 2. Solutions here.

Homework sheet 3. Solutions here.

Homework sheet 4. Solutions here.

Homework sheet 5. Solutions here.

Homework sheet 6. Solutions here.

Homework sheet 7. Solutions here.

Homework sheet 8. Solutions here.

No. of Credits: 3

No. of ECTS credits: 6

Time Period of the course: Fall Semester

Prerequisites: basic probability

Course Level: introductory MS

Official syllabus: here.

Classes: Mondays from 09:00 in room 310/A.

Course Coordinator: Imre Péter Tóth.

Schedule (planned):

week # | when | topic | remark |

week 1-2 | 2016.09.19,26 | Review of basic notions of probability theory. Measure-theoretic language. Some famous problems and paradoxes. | |

week 3 | 2016.10.03 | Different types of convergence for random variables. Borel-Cantelli lemmas. | |

week 4-5 | 2016.10.10,17 | Laws of Large Numbers. The method of characteristic functions in proving weak convergence: the Central Limit Theorem. | |

week 6-7 | 2016.10.24,31 | Conditional expectation with respect to a sub-sigma-algebra. Martingales. Some martingale convergence and optional stopping theorems. | |

week 8-9 | 2016.11.07,14 | Applications of martingales: Galton-Watson branching processes. Asymptotic results. Birth and death process. ABRACADABRA problem. | |

week 10-11 | 2016.11.21,28,12.05 | Random walks on the integers. Construction and basic properties of Brownian motion. | |

week 12 | 2016.12.05 | Probabilistic methods in combinatorics - an example. |

Suggested literature (References):

- To catch up with the missing basics: W. Feller: An Introduction to Probability Theory and Its Applications, Vol. 1, 3rd Edition, Wiley, 1968.
- For most of the course: R. Durrett: Probability. Theory and Examples. 4th edition, Cambridge University Press, 2010.
- For the short combinatorics part: N. Alon, J. H. Spencer: The Probabilistic Method. 3rd edition, Wiley, 2008.

The midterm will be on Tuesday, the 25th of October 2016 from 10:00 to 12:00, in the study room of the Math Department at CEU.

Grading rules:

There will be weekly homework assignments wort 30% of the total score. The midterm will also be worth 30%, while the final exam is worth 40%.

In detail:

- The solution to each homework is evaluated with a "code" with the following meaning:
- "3" means correctly solved
- "2" means solved with some error
- "1" means started on a correct track, but not solved
- "0" means completely wrong.

- The midterm is worth 30 points, and the final is worth 40 points. These are added to the homework score to give the "total score".
- The total score is translated into grades using the following table:
score range grade 0-49 F 50-59 C+ 60-67 B- 68-75 B 76-83 B+ 84-89 A- 90-100 A

Material for learning:

Some notes about the measure theoretic basics of Probability