Mathematics — Università degli Studi di Trieste, Trieste

Il piano degli esami

Curricula: ADVANCED MATHEMATICS, COMPUTATIONAL MATHEMATICS AND MODELLING, MATHEMATICAL EDUCATION. Qui sotto: ADVANCED MATHEMATICS.

1° anno

• 5 insegnamenti opzionali (gruppo 1) tra (30 CFU) (scegli 30 CFU): ADVANCED ALGEBRA 6 CFU; ADVANCED ANALYSIS 1 6 CFU; ADVANCED ANALYSIS 2 6 CFU; ADVANCED GEOMETRY 1 6 CFU; ADVANCED GEOMETRY 2 6 CFU; FUNCTIONAL ANALYSIS 6 CFU
• Insegnamenti opzionali (gruppo 2) (fra 6 e 12 CFU) (scegli tra 6 e 12 CFU): ADVANCED MATHEMATICAL PHYSICS 1 6 CFU; ADVANCED MATHEMATICAL PHYSICS 2 6 CFU; NUMERICAL METHODS FOR ODES 6 CFU
• Insegnamenti opzionali (gruppo 3) (fra 12 e 21 CFU) (scegli tra 12 e 21 CFU): ADVANCED FLUID MECHANICS 6 CFU; ADVANCED GEOMETRY 3 9 CFU; ADVANCED HISTORY OF MATHEMATICS 6 CFU; ADVANCED PROGRAMMING FOR COMPUTATIONAL SCIENCE 6 CFU; ALGORITHMIC DESIGN 6 CFU; APPLIED MATHEMATICS 6 CFU; COMPUTATIONAL ALGEBRA 6 CFU; CREATIVE RESEARCH AND SCIENTIFIC COMMUNICATION 6 CFU; DIFFERENTIAL GEOMETRY 1 6 CFU; DIFFERENTIAL GEOMETRY 2 6 CFU; DYNAMICAL SYSTEMS 6 CFU; ENVIRONMENTAL FLUID MECHANICS 6 CFU; FISICA STATISTICA 6 CFU; FLUID DYNAMICS 6 CFU; INFERENZA STATISTICA 9 CFU; INTRODUCTION TO MACHINE LEARNING 6 CFU; MATHEMATICAL LEARNING: TESTING AND INTERVENING 6 CFU; NUMERICAL METHODS FOR MACHINE LEARNING 6 CFU; PROBABILISTIC MACHINE LEARNING 6 CFU; PROGRAMMAZIONE AVANZATA E PARALLELA 9 CFU; REINFORCEMENT LEARNING 6 CFU; RELATIVITA' GENERALE 6 CFU; STOCHASTIC MODELLING AND SIMULATION 6 CFU; TECHNOLOGY IN MATHEMATICS EDUCATION 6 CFU; TOPICS IN ADVANCED MATHEMATICAL PHYSICS 1 6 CFU
• A scelta libera studente (a scelta): ADVANCED ALGEBRA 6 CFU; ADVANCED ANALYSIS 1 6 CFU; ADVANCED ANALYSIS 2 6 CFU; ADVANCED FLUID MECHANICS 6 CFU; ADVANCED GEOMETRY 1 6 CFU; ADVANCED GEOMETRY 2 6 CFU; ADVANCED GEOMETRY 3 9 CFU; ADVANCED HISTORY OF MATHEMATICS 6 CFU; ADVANCED MATHEMATICAL PHYSICS 1 6 CFU; ADVANCED MATHEMATICAL PHYSICS 2 6 CFU; ADVANCED PROGRAMMING FOR COMPUTATIONAL SCIENCE 6 CFU; ALGORITHMIC DESIGN 6 CFU; APPLIED MATHEMATICS 6 CFU; COMPUTATIONAL ALGEBRA 6 CFU; CREATIVE RESEARCH AND SCIENTIFIC COMMUNICATION 6 CFU; DIFFERENTIAL GEOMETRY 1 6 CFU; DIFFERENTIAL GEOMETRY 2 6 CFU; DYNAMICAL SYSTEMS 6 CFU; ENVIRONMENTAL FLUID MECHANICS 6 CFU; FISICA STATISTICA 6 CFU; FLUID DYNAMICS 6 CFU; FUNCTIONAL ANALYSIS 6 CFU; INFERENZA STATISTICA 9 CFU; INTRODUCTION TO MACHINE LEARNING 6 CFU; MATHEMATICAL LEARNING: TESTING AND INTERVENING 6 CFU; NUMERICAL METHODS FOR MACHINE LEARNING 6 CFU; NUMERICAL METHODS FOR ODES 6 CFU; PROBABILISTIC MACHINE LEARNING 6 CFU; PROGRAMMAZIONE AVANZATA E PARALLELA 9 CFU; REINFORCEMENT LEARNING 6 CFU

2° anno

• PROVA FINALE — 30 CFU
• TIROCINIO — 3 CFU
• Insegnamenti opzionali (gruppo 2) (fra 6 e 12 CFU) (scegli tra 6 e 12 CFU): ADVANCED PROBABILITY 6 CFU; MATHEMATICAL OPTIMISATION 6 CFU
• Insegnamenti opzionali (gruppo 3) (fra 6 e 15 CFU) (scegli tra 6 e 15 CFU): ADVANCED FLUID MECHANICS 6 CFU; ADVANCED PROGRAMMING FOR COMPUTATIONAL SCIENCE 6 CFU; ALGEBRAIC GEOMETRY 6 CFU; ALGORITHMIC DESIGN 6 CFU; APPLIED MATHEMATICS 6 CFU; DIFFERENTIAL EQUATIONS 6 CFU; DIFFERENTIAL GEOMETRY 2 6 CFU; ENVIRONMENTAL FLUID MECHANICS 6 CFU; FISICA STATISTICA 6 CFU; FLUID DYNAMICS 6 CFU; INFERENZA STATISTICA 9 CFU; INTRODUCTION TO MACHINE LEARNING 6 CFU; MATHEMATICAL LEARNING: TESTING AND INTERVENING 6 CFU; MATHEMATICS EDUCATION 6 CFU; NUMERICAL METHODS FOR PDES 6 CFU; OPTIMIZATION FOR ARTIFICIAL INTELLIGENCE 6 CFU; PROBABILISTIC MACHINE LEARNING 6 CFU; REINFORCEMENT LEARNING 6 CFU; RELATIVITA' GENERALE 6 CFU; STOCHASTIC MODELLING AND SIMULATION 6 CFU; TOPICS IN ADVANCED ANALYSIS 1 6 CFU; TOPICS IN ADVANCED ANALYSIS 2 6 CFU
• A scelta libera studente (a scelta):