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Database & Knowledge Systems Department

The Database & Knowledge Systems Department builds students' capacity to design data infrastructure spanning relational, spatial, and graph databases. Students practice PostgreSQL/PostGIS spatial database optimization, build Neo4j knowledge graphs, and operate time-series stores such as InfluxDB and TimescaleDB, while learning advanced indexing, query optimization, and semantic search/ontology design. Graduates emerge as database engineers capable of designing, building, and performance-tuning large, heterogeneous data systems.

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Infrastructure & Cloud Operations DepartmentDatabase & Knowledge Systems DepartmentAI Operations & Automation DepartmentCybersecurity & Compliance DepartmentApplication & Simulation Operations CenterMeta-Governance & Interface CenterSoftware Engineering & Development Center

Field-based Curriculum · 14

This department's curriculum is built directly on the GeoVerse Lab research fields its professors hold — click a field to see how it is taught.

Relational Data Modeling, Normalization & SQL Query Foundations
Relational Data Modeling, Normalization & SQL Query Foundations
Relational modeling is normalization theory toward anomaly-free schemas. This co…
Raymond F. Boyce
Database Indexing, Hashing & Access Methods
Database Indexing, Hashing & Access Methods
Indexing trades storage and write maintenance for read speed. This course has st…
Robert Morris
Spatial & Multidimensional Indexing for Geographic Databases
Spatial & Multidimensional Indexing for Geographic Databases
Spatial indexing begins from the fact that no single dimension reflects spatial …
Jürg Nievergelt
Graph Theory Foundations for Graph Databases
Graph Theory Foundations for Graph Databases
Graph databases make relationships first-class traversable objects. This course …
Claude Berge
Object-Oriented & Semantic Data Modeling
Object-Oriented & Semantic Data Modeling
Object-oriented data modeling makes inheritance and encapsulation first-class sc…
Ole-Johan Dahl
Formal Semantics, Model Theory & Ontology Engineering
Formal Semantics, Model Theory & Ontology Engineering
Ontology engineering on formal semantics builds machine-checkable domain descrip…
Alfred Tarski
Triple-Based Knowledge Representation (RDF/SPARQL Foundations)
Triple-Based Knowledge Representation (RDF/SPARQL Foundations)
RDF fixes every fact into a subject-predicate-object triple. This course teaches…
Charles Sanders Peirce
Full-Text Search Evaluation & Information Retrieval
Full-Text Search Evaluation & Information Retrieval
Full-text search evaluation stands on the Cranfield paradigm. This course has st…
Cyril Cleverdon
Vector Similarity Search & Nearest-Neighbor Methods
Vector Similarity Search & Nearest-Neighbor Methods
Vector similarity search rests on proximity being a principled criterion, not a …
Thomas M. Cover
Time-Series Database & Stochastic Process Analysis
Time-Series Database & Stochastic Process Analysis
Time-series databases make time itself the primary index. This course teaches ti…
Herman Wold
Concurrency Control, Transactions & Distributed Storage
Concurrency Control, Transactions & Distributed Storage
Concurrency control keeps overlapping transactions from producing results imposs…
Per Brinch Hansen
Large-Scale Knowledge Graph Construction & Ontology Engineering
Large-Scale Knowledge Graph Construction & Ontology Engineering
Large-scale knowledge graph construction is editorial engineering: curating hete…
Douglas Lenat
Deductive Databases & Logic-Based Graph Query Languages
Deductive Databases & Logic-Based Graph Query Languages
Deductive databases answer from stored facts by rule inference. This course teac…
Jack Minker
Data Warehousing & Large-Scale Batch Data Processing Origins
Data Warehousing & Large-Scale Batch Data Processing Origins
Data warehousing moves operational data into read-optimized stores for aggregati…
Herman Hollerith