LEARNING OUTCOMES
After completing the course, the participant
- Can compute the expected value of a random number as an integral with respect to a probability measure
- Can compute probabilities related to independent random variables by using a product measure
- Recognizes different types of convergence of a random sequence
- Can explain how and when a random sum can be approximated by a Gaussian distribution
- Can represent conditional probabilities with respect to the information content of a sigma-algebra
Credits: 5
Schedule: 21.02.2022 - 21.02.2022
Teacher in charge (valid for whole curriculum period):
Teacher in charge (applies in this implementation): Ragnar Freij-Hollanti
Contact information for the course (applies in this implementation):
CEFR level (valid for whole curriculum period):
Language of instruction and studies (applies in this implementation):
Teaching language: English. Languages of study attainment: English
CONTENT, ASSESSMENT AND WORKLOAD
Content
valid for whole curriculum period:
- Random numbers, vectors, and sequences
- Describing information using sigma-algebras
- Integration with respect to a probability measure
- Stochastic independence and product measure
- Law of large numbers and the central limit theorem
DETAILS
Study Material
valid for whole curriculum period:
K Kytölä. Probability theory. Lecture notes. Aalto University 2019.
Substitutes for Courses
valid for whole curriculum period:
Prerequisites
valid for whole curriculum period:
FURTHER INFORMATION
Further Information
valid for whole curriculum period:
Teaching Period:
2020-2021 Spring III
2021-2022 Spring III
Course Homepage: https://mycourses.aalto.fi/course/search.php?search=MS-E1600
Registration for Courses: In the academic year 2021-2022, registration for courses will take place on Sisu (sisu.aalto.fi) instead of WebOodi.