Probability and Statistics
Full course description
This course is a first introduction to probability and statistics. We will start by learning how to count and define a notion of probability. We will then move on to the concept of conditional probability, random variables and their distributions, expectation, continuous random variables, moments, joint distributions, and inequalities and limit theorems. This will provide us with the necessary language to study central topics of importance in statistics, such as the difference between a population and a sample, confidence intervals, parameter estimation, and hypothesis testing.
Prerequisites
None.
Desired prior knowledge: Discrete Mathematics and Calculus
Recommended reading
None.
KEN2130
Period 1
2 Sep 2024
25 Oct 2024
ECTS credits:
4.0Instruction language:
EnglishCoordinator:
Teaching methods:
Project-Centered LearningAssessment methods:
Written exam, Assignment