Computer Science and Engineering — Politecnico di Milano, Milano

Il piano degli esami

Curricula: T2A - COMPUTER SCIENCE AND ENGINEERING, T2D - ICT ENGINEERING, BUSINESS AND INNOVATION, T2I - ARTIFICIAL INTELLIGENCE. Qui sotto: T2A - COMPUTER SCIENCE AND ENGINEERING.

1° anno

• Foundations of operations research — 5 CFU
• Formal languages and compilers — 5 CFU
• Data bases 2 — 5 CFU
• Software engineering 2 — 5 CFU
• Advanced computer architectures — 5 CFU
• Computing infrastructures — 5 CFU
• Computer security - uic 587 — 5 CFU
• Gruppi AUT, BIO, DOT, INT1, INT2, MAT, TABA, TABB, TEL, TAB ENHANCE, SOFT SKILLS, TABELLA SWT - INTER, TABELLA SWT - INF (scegli 25 CFU): Automation and control in autonomous vehicles 5 CFU; Control of mobile robots 5 CFU; Safety in automation systems 5 CFU; Advanced and model predictive control 10 CFU; Automation and control in electric and hybrid vehicles 5 CFU; Automation of energy systems 5 CFU; Control of robotic manipulators 5 CFU; Production systems control 5 CFU; Simulation techniques and tools 5 CFU; Bioinformatics and functional genomics 5 CFU; Biomedical signal processing - bioe 440 5 CFU; Cell and molecular bioengineering 10 CFU; Medical images - bioe 421 5 CFU; Biomedical signal processing and medical images - bioe 540-421 10 CFU; E-health methods and applications [i.c.] 10 CFU; Hbd - health big data 5 CFU; Technologies for sensors and clinical instrumentation 10 CFU; Learning-augmented competitive algorithms 5 CFU; Time-series exploration with machine and deep learning: from theory to practice 5 CFU; Advanced data engineering: trustworthiness and sustainability perspectives 5 CFU; Advanced research topics in cybersecurity 5 CFU; Computing platforms for ai 5 CFU; Dealing with uncertainty in data-based learning 5 CFU; Engineering ai-enabled software systems 5 CFU; Feedback control in finance 5 CFU; From large language models to agentic ai: what does it all mean for research? 5 CFU; Human-computer interaction for ai (hci4ai) 5 CFU; Multi-agent learning: from theory to practice 5 CFU; Online learning and monitoring 5 CFU; Parallel computing on core-based and gpu-based architectures through mpi, openmp and cuda 5 CFU

2° anno

• Prova finale (inf) — 20 CFU
• Gruppi AUT, BIO, DOT, INT1, INT2, MAT, TABA, TABB, TEL, TAB ENHANCE, SOFT SKILLS, TABELLA SWT - INF, TABELLA SWT - INTER (scegli 40 CFU): Automation and control in autonomous vehicles 5 CFU; Control of mobile robots 5 CFU; Safety in automation systems 5 CFU; Advanced and model predictive control 10 CFU; Automation and control in electric and hybrid vehicles 5 CFU; Automation of energy systems 5 CFU; Control of robotic manipulators 5 CFU; Production systems control 5 CFU; Simulation techniques and tools 5 CFU; Bioinformatics and functional genomics 5 CFU; Biomedical signal processing - bioe 440 5 CFU; Cell and molecular bioengineering 10 CFU; Medical images - bioe 421 5 CFU; Biomedical signal processing and medical images - bioe 540-421 10 CFU; E-health methods and applications [i.c.] 10 CFU; Hbd - health big data 5 CFU; Technologies for sensors and clinical instrumentation 10 CFU; Learning-augmented competitive algorithms 5 CFU; Time-series exploration with machine and deep learning: from theory to practice 5 CFU; Advanced data engineering: trustworthiness and sustainability perspectives 5 CFU; Advanced research topics in cybersecurity 5 CFU; Computing platforms for ai 5 CFU; Dealing with uncertainty in data-based learning 5 CFU; Engineering ai-enabled software systems 5 CFU; Feedback control in finance 5 CFU; From large language models to agentic ai: what does it all mean for research? 5 CFU; Human-computer interaction for ai (hci4ai) 5 CFU; Multi-agent learning: from theory to practice 5 CFU; Online learning and monitoring 5 CFU; Parallel computing on core-based and gpu-based architectures through mpi, openmp and cuda 5 CFU