The student will learn how to efficiently search and rank documents in sizeable collections, visualize data to support reasoning in data analysis, and communicate information to others.
Information Retrieval and Data Visualization
Learning Goals
Program in pills
Data structures for information retrieval. Set-based models: Boolean and fuzzy. Evaluation of information retrieval systems. Flat and hierarchical clustering. Information retrieval on the web. Principles of good visualization design. Basic charts, multivariate data, uncertainty, and visualization tools.
Area
Machine Learning and Artificial Intelligence
Curriculum Foundations
TAF Type
Curriculum Industry
TAF Type
Curriculum Health
TAF Type
Curriculum Economy
TAF Type
SSD
ECTS
Semester
Lecturers
Laura Nenzi
Tea Tušar