Bachelor in Data Science and Engineering (Plan: 392 - Estudio: 350)
Coordinating teacher:
Department assigned to the subject: Statistics Department
Type: Electives
ECTS Credits: 6.0 ECTS
Course: 4º
Semester:
Description of contents: programme
1. Introduction to Stochastic Processes
2. Discrete Markov Chains
3. Continuous time Markov Chains
4. Renewal Processes
5. Queuing theory
6. Random Graphs
7. Case studies:
Monte Carlo Algorithm, PageRank Algorithm, Call centers, Social networks.
Assessment System
% end-of-term-examination 60
% of continuous assessment (assigments, laboratory, practicals...) 40
The course syllabus may change due academic events or other reasons.
