AIMS AND CONTENT

LEARNING OUTCOMES

The course aims at providing theory and techniques for architectural and functional design of interactive cognitive dynamic systems. Topics are related to data fusion, mutilevel bayesian state estimation and their application to cognitive video and radio domains. Project based learning allows students to acquire design capabilities in the field.

SYLLABUS/CONTENT

• Cognitive Telecommunications Systems: an introduction (1)
• Signal Processing and Cognitive Systems (1)
• Multimodal analytics e sensori intelligenti (8)
• Multimodal analytics and intelligent sensors (6)
• Data fusion architectural models (3):
  • JDL model
  • Other functional models(Omnibus, etc.)
  • Distribuited and centralized DF systems
• Data fusion levels and techniques (14)
  • Temporal and Spatial alignment
  • State estimation (Kalman filter,  Particle Filter, PHD filter)
  • Pattern recognition  (brief overview of neural networks , svm, statistical classifiers )
  • Situation Awareness and Threat Assessment (focus on Dynamic Bayesian Networks)
• Distributed Data Fusion techniques (5)
• Cognitive refinement: Bio-inspired interaction analysis models (4).
  • Damasio models (from human to machine interactions and emotions)
  • Llinas model (the decision chain  and embodied cognition models)
• Machine learning models for interaction modeling: autobiographical memories (8)
  • Simulated and real  experiences: tools and motivations
  • Normal situation modeling
  • Analysis, prediction and management of abnormal situations

Applying knowledge and understanding:

• Interactive and Cognitive Environments : immersive and mobile experiences (3)
  • Safety and security  services
  • Domotics
  • Man- Machine and Machine-to-machine cyber physical interfaces
  • Internet of Things
  • Cognitive (and Software radio);
• Systems Case studies and experiments using programming techniques and tools for (3)
  • Cognitive radio;
  • Interactive and cognitive systems for smart spaces and environments

Making Judgements:

• Interactive and Cognitive Systems project oriented techniques
  • Case study identification
  • Interaction system goal identification  (entities, service, evaluation performances)
  • State of the art description
  • Project design: architectural and technique level
  • Slide presentation
• Small team collaborative project definition; project management
• Individuating Emerging techniques in Cognitive Telecommunications domain

Learning and communications skills:

• Bibliographic search on scientific data bases (e.g. IEEEE Explore)

Conference style oral slide presentation 

TEACHERS AND EXAM BOARD

Exam Board

LUCIO MARCENARO (President)

CARLO REGAZZONI (President)

EXAMS

Exam schedule