Bachelor in Data Science and Engineering (Study Plan 2018) (Plan: 392 - Estudio: 350)
Coordinating teacher: MEILAN VILA, ANDREA
Department assigned to the subject: Statistics Department
Type: Electives
ECTS Credits: 6.0 ECTS
Course: 4º
Semester:
Requirements (Subjects that are assumed to be known)
Probability and Data Analysis
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.
Learning activities and methodology
Theory (4 ECTS). Theory classes with additional material available on the Web.
Practical classes (2 ECTS) Problem solving classes. Problem based learning classes.
Assessment System
% end-of-term-examination/test 60
% of continuous assessment (assigments, laboratory, practicals...) 40
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The course syllabus may change due academic events or other reasons.
Electronic Resources *