Checking date: 04/05/2023

Course: 2023/2024

Statistical Reasoning
Master in Applied Artificial Intelligence (Plan: 475 - Estudio: 378)

Coordinating teacher: JIMENEZ RECAREDO, RAUL JOSE

Department assigned to the subject: Statistics Department

Type: Additional training
ECTS Credits: 2.0 ECTS


Review of main topics in mathematical statistics to address stochastic modeling and data analysis
Skills and learning outcomes
Description of contents: programme
Probability spaces. Independence and conditional probability. Bayes' rule. Random variables. Distribution, mass and probability density functions. Discrete and continuous parametric models. Multivariate regression.
Learning activities and methodology
Teaching presentations accompanied by electronic material, such as digital presentations e-learning activities Theoretical-practical lessons, synchronous teaching tutorials Team work Individual student work Home works and
Assessment System
  • % end-of-term-examination 0
  • % of continuous assessment (assigments, laboratory, practicals...) 100

Calendar of Continuous assessment

Basic Bibliography
  • Jason Brownlee. Probability for Machine Learning. Machine Learning Mastery. 2020
  • Kevin Patrick Murphy. Machine Learning: A Probabilistic Perspective . MIT Press. 2012

The course syllabus may change due academic events or other reasons.