Covers SQL data definition, manipulation, and views in databases.
Covers the use of Zoom, course schedule adjustments, grades distribution, and user modeling techniques.
Introduces the fundamentals of handling data, emphasizing the importance of Pandas and data modeling for effective analysis.
Covers virtual memory, program relocation, memory protection, TLB, and memory hierarchy interactions.
Covers the fundamentals of data stream processing, including tools like Apache Storm and Kafka, key concepts like event time and window operations, and the challenges of stream processing.
Explores cache memory design, hits, misses, and eviction policies in computer systems, emphasizing spatial and temporal locality.
Introduces the relational model, SQL, keys, integrity constraints, ER translation, weak entities, ISA hierarchies, and SQL vs. noSQL.
