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

Students will learn theoretical and practical foundations of computational methods for analysis of experimental data from various biological data types. Course will cover algorithms, statistical and computational methods, and application …

Students gain hands-on experience with synthesizers, music notation software, and the control of MIDI instruments via computer. Prerequisite: Instructor permission.

Introduction to the use of computers in music composition, with hands-on experience. Appropriate for non-majors.

Prerequisite: Instructor permission.

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. …

Advanced topics in computational physics including numerical methods for partial differential equations, Monte Carlo modeling, advanced methods for linear systems, and special topics in computational physics. Prerequisite: PHYS 5630, or …

Computational methods are widely applied in all areas of astrophysical research, including data analysis, instrumentation, and theory. This course covers advanced computing skills that optimize the scientific return from using …

Students will learn theoretical and practical foundations of computational methods for analysis of experimental data from various biological data types. Course will cover algorithms, statistical and computational methods, and application …

An intensive overview of cloud infrastructure and their role in data science. Topics will include storage as a service, ephemeral computing resources, auto-scaling, and event-driven workloads. Special attention will be …

Covers the fundamentals of probability theory & stochastic processes. Become conversant in the tools of probability. Clearly describe & implement concepts related to random variables, properties of probability, distributions, expectations, …

This one-hour weekly seminar course features presentations given by ECE faculty members, to introduce various research areas, topics, and advances in Electrical and Computer Engineering. This course is required for …

Design, analysis and testing of an embedded computer system to meet specific needs, considering public health, safety and welfare as well as societal impacts. Tradeoff analysis and constraint satisfaction facilitated …

An embedded computer is designed to efficiently interact directly with its physical environment. This lab-based course explores architecture and interface issues relating to the design, evaluation and implementation of embedded …

Students must have taken Performance With Computers in order to enroll in MICE (Mobile Interactive Computer Ensemble). MICE teaches a blended approach to performance, composition and computer programming through the …