Graph Theory, Discrete Mathematics and Optimization
A.Y. 2022/2023
Learning objectives
This course aims at introducing modern and advanced mathematical techniques useful for understanding and modeling big data structures and algorithms.
Expected learning outcomes
At the end of the course the student will be able to formalize real world problems in mathematical terms and to solve simple exercises related with linear algebra, graph theory, Markov Chains, Optimization and Decision Theory.
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
Course currently not available
Module Graph Theory and Discrete Mathematics
SECS-S/06 - MATHEMATICAL METHODS OF ECONOMICS, FINANCE AND ACTUARIAL SCIENCES - University credits: 6
Lessons: 40 hours
Module Optimization
MAT/09 - OPERATIONS RESEARCH - University credits: 6
Lessons: 40 hours