Given the expansive growth in the field, it's become challenging to discern what belongs in a modern computer science degree. My own faculty is engaging in this debate, so I've coalesced my thoughts as an answer to the question, "What should every computer science major know?" I've tried...
pushdown automata, languages, grammars, Turing machines, and computability. This provides an excellent prelude to a compilers course, and also gives good coverage of computability. Complexity theory, including NP-completeness, is probably covered, but it is not a central theme of the course. ...
Dual analytics engine: Purpose-built engine handles sub-second ad hoc queries as well as ML/AI workloads, intelligently routing user queries to the most efficient engine and compute paradigm (in-memory, pushdown, or data lake modes) Security & access: SSO, user- and group-level access; ...
Automata is a theoretical branch of computer science and discrete mathematics that focuses on the logic of simple machines. The types of computational models within automata theory include: Finite state machines—Models for any system with a limited number of conditional states of being. Pushdown ...