Master in Computer Science - Semester 9

Curriculum->Master in Computer Science->Semester 9

Courses and group of courses name

ECTS

hours per student

GPU Computing - WMM9AM49	6.0	36.0
From Basic Machine Learning models to Advanced Kernel Learning - WMM9AM76	6.0	36.0
Statistical learning: from parametric to nonparametric models - WMM9AM78	6.0	36.0
- WMM9GSM	3.0	0.0
- WMM9GSP	3.0	0.0
Mathematical Foundations of Machine Learning - WMM9MO00	6.0	36.0
Multi-Agent systems - WMM9MO27	3.0	18.0
Computer Vision - WMM9MO34	6.0	36.0
Information Visualization - WMM9MO37	3.0	18.0
SAT/SMT Solving - WMM9MO46	3.0	18.0
Process Engineering - WMM9MO57	6.0	36.0
Advanced Networking - WMM9MO58	6.0	54.0
Advanced Parallel Systems - WMM9MO59	6.0	36.0
Fundamentals of Data Processing and Distributed Knowledge - WMM9MO60	6.0	36.0
Scientific Methodology, Regulatory and ethical data usage - WMM9MO61	6.0	36.0
Robotics_ - WMM9MO62	6.0	36.0
Computer Graphics - WMM9MO63	6.0	36.0
Advanced Software Modeling and Engineering - WMM9MO65	6.0	36.0
Augmented and Virtual Reality: Innovative Interaction Techniques - WMM9MO66	6.0	36.0
Human in the Loop - WMM9MO68	6.0	36.0
Cloud Computing, from Infrastructure to Applications - WMM9MO69	6.0	36.0
System Design - WMM9MO70	6.0	36.0
Large scale Data Management and Distributed Systems - WMM9MO72	6.0	36.0
Program Testing and Verification - WMM9MO73	3.0	18.0
Advanced Machine Learning: Applications to Vision, Audio and Text - WMM9MO74	6.0	36.0
Natural Language Processing & Information Retrieval - WMM9MO75	6.0	36.0
Information Security - WMM9MO80	6.0	36.0
- WMM9MO83	6.0	36.0
- WMM9MO84	6.0	36.0

Advanced Machine Learning: Applications to Vision, Audio and Text - WMMCAML	6.0	36.0
- WMMCANW	6.0	54.0
Mathematical Foundations of Machine Learning - WMMCMFML	6.0	36.0
From Basic Machine Learning models to Advanced Kernel Learning - WMMCMLAK	6.0	36.0
- WMMCNWS	6.0	0.0
Advanced Networking - WMMCRA	3.0	54.0

GPU Computing - WMM9AM49	6.0	36.0
From Basic Machine Learning models to Advanced Kernel Learning - WMM9AM76	6.0	36.0
Learning, Probabilites and Causalities - WMM9AM77	6.0	54.0
Statistical learning: from parametric to nonparametric models - WMM9AM78	6.0	36.0
Efficient Methods in Optimization - WMM9AM87	6.0	36.0
- WMM9CO05	3.0	18.0
- WMM9CO06	3.0	18.0
- WMM9CO07	3.0	18.0
- WMM9CO08	3.0	18.0
- WMM9CO09	3.0	18.0
- WMM9CO10	6.0	54.0
Mathematical Foundations of Machine Learning - WMM9MO00	6.0	36.0
Multi-Agent systems - WMM9MO27	3.0	18.0
Information Visualization - WMM9MO37	3.0	18.0
Advanced Parallel Systems - WMM9MO59	6.0	36.0
Fundamentals of Data Processing and Distributed Knowledge - WMM9MO60	6.0	36.0
Scientific Methodology, Regulatory and ethical data usage - WMM9MO61	6.0	36.0
Robotics_ - WMM9MO62	6.0	36.0
Cloud Computing, from Infrastructure to Applications - WMM9MO69	6.0	36.0
Large scale Data Management and Distributed Systems - WMM9MO72	6.0	36.0
Advanced Machine Learning: Applications to Vision, Audio and Text - WMM9MO74	6.0	36.0
Natural Language Processing & Information Retrieval - WMM9MO75	6.0	36.0
Information Security - WMM9MO80	6.0	36.0
- WMM9MO82	6.0	36.0
- WMM9MO83	6.0	36.0
- WMM9MO84	6.0	36.0
Cryptographic Engineering, Protocols & Security Models, Data privacy, coding & applications - WMM9SY03	6.0	78.0

Software security Secure Programming & Computer Forensic - WMM9SY01	3.0	39.0
Security architectures: network, system, key management, cybersecurity of industrial IT - WMM9SY02	6.0	78.0
Cryptographic Engineering, Protocols & Security Models, Data privacy, coding & applications - WMM9SY03	6.0	78.0
Threat & Risk Analysis, IT Security, audit and norms - WMM9SY04	3.0	39.0
Physical security: Embedded, Smart Card, Quantum & Biometrics - WMM9SY05	6.0	78.0

Update - 16/07/2024

Human Factors for CyberSecurity - 5MMCYB	1.0	16.5
Law and IT - 5MMDROI6	1.0	18.0
- 5MMSOCIO	1.0	18.0

Advanced Security - WMM9SY06	6.0	48.0
Advanced Cryptology - WMM9SY07	6.0	48.0