This course is available as an outside option to students on other programmes where regulations permit and to General Course students. The course covers the probability, distribution theory and ...

Additionally, students must always refer to course syllabus for the most up to date information. Introduces students to the tools methods and theory behind extracting insights from data. Covers ...

This course is available with permission to General Course students. This is a first course in measure-theoretic probability. It covers the following topics. Abstract probability spaces: sample spaces ...

We’ll learn what it means to calculate a probability, independent and dependent outcomes, and conditional events. We’ll study discrete and continuous random variables and see how this fits with data ...

Sample space, Field and Probability Measure. Axiomatic definition of Probability. Bayes' theorem. Repeated trials. Continuous and discrete random variables and their probability distribution and ...

Introduction to probability theory and statistical methods necessary for analyzing the behavior of processes and experiments. Statistical tests for detecting significant changes in process parameters.

The probability that the counters will be different ... The total number of outcomes for a three-course meal can be found using the product rule. Multiply the number of outcomes for each event ...

Throughout the program, coursework includes exploration of microeconomic theory, macroeconomic theory, probability and statistics, and econometrics. While some students join the Business Economics ...

In the workshop, teaching assistants (graduate students in Statistics) are able to help you with problems in the course. The Statistics Workshop will post solutions to the quizes immediately after the ...

Probability is about estimating or calculating how likely or 'probable' something is to happen. The chance of an event happening can be described in words, for example ‘certain’, ‘impossible ...