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Content varies annually, depending on students' needs and interests. Recent topics included the foundations of computation, artificial intelligence, database design, real-time systems, Internet engineering, and electronic design automation. Prerequisite: Instructor …

Content varies, depending on instructor interests and the needs of the Department. Taught strictly at the undergraduate level. Prerequisite: Instructor permission; additional specific requirements vary with topics.

Content varies based on the interest and needs of students. Topics may include safety critical systems, parallel processing, information retrieval, data communications, computer networks, real-time computing, distributed multimedia systems, electronic …

This course covers topics on the computer architecture abstraction hierarchy ranging from a step above silicon to a step below modern programming languages. Students in this course will learn to …

A second course in computer systems, this course will explore a more realistic model of processors and how they and the operating system work together to provide various functionality we …

Introduces computation theory including grammars, finite state machines, pushdown automata, and Turing machines.Prerequisites: (CS 2102 or CS 2120) and (CS 2100 or CS 2110 or CS 2501 topic "DSA 2" …

Analyzes formal languages, the Chomsky hierarchy, formal computation and machine models, finite automata, pushdown automata, Turing machines, Church's thesis, reductions, decidability and undecidability, and NP-completeness. Prerequisite: CS 3102 or equivalent.

This course is designed for first year Graduate students in the Computer Engineering Program to help orient new graduate students to the current research topics, available research tools, software and …

Computers are universal media. Our intimacy with computers shapes how we think about our communities, histories, cultures, society, and ourselves. Learn to program these "thinking machines" as an act of …

The Design Computation sequence introduces computational thinking and design in the context of long-standing architectural technologies. Design Computation 1 focuses on computational fundamentals, spatial structures, and associative modeling

The Design Computation sequence introduces computational thinking and design in the context of long-standing architectural technologies. Design Computation 2 focuses on cartography, the visual display of information, and spatial data …

Proseminar in Computer Music Composition Prerequisite: instructor permission.

This course focuses on particular compositional types, in this case choral composition. There are a series of graded exercises, graded compositions, and a major final project that is presented during …

Surveys computational methods for problem solving in the physical sciences. Topics include numerical precision and efficiency, solutions of differential equations, optimization problems, Monte Carlo simulation, statistical methods, and data analytics. …

Students will learn foundational computational methods for analysis of data from genome, epigenome, and transcriptome sequencing experiments. The course will cover various biological data types, algorithms, statistical and computational methods, …