Covers the heterogeneous neuroscience data, techniques like microarrays and gene sequencing, data integration, and the importance of metadata in organizing and sharing data.
Explores text mining of long-tail data in neuroscience and brain connectivity, including named entity recognition, protein concentration mining, and comparison of connectivity matrices.
Explores the concept of Knowledge Graphs and their role in data integration and semantic understanding, showcasing real-world examples and applications.
Explores the evolution and applications of 3D integration, highlighting its benefits and challenges, as well as its potential impact on sensor systems and societal advancements.
Explores matching conditions in structural mechanics for non-straight beams, frames, and arches, emphasizing differential relations and constant determination.
Introduces the course on information systems, covering its structure, objectives, and foundational concepts essential for understanding data management and decision-making.
