Acting

Script analysis and development of vocal and physical performance in the building of effective stage characteriza-tions. Improvisations and scenes. Prerequisites: THEATER 120 and 140.

Adv Natural Language Processng

This course covers a broad range of advanced level topics in natural language processing. It is intended for graduate students in computer science who have familiarity with machine learning fundamentals. It may also be appropriate for computationally sophisticated students in linguistics and related areas. Topics include probabilistic models of language, computationally tractable linguistic representations for syntax and semantics, and selected topics in discourse and text mining. After completing the course, students should be able to read and evaluate current NLP research.

Introduction to Simulation

Using computers for system design and decision making under uncertainty. Monte Carlo methods, modeling discrete-event stochastic systems, random number generation, time-advance mechanisms, output analysis, simulation-based optimization. This course counts as a CS Elective toward the CS major (BA or BS).

Introduction to Simulation

Using computers for system design and decision making under uncertainty. Monte Carlo methods, modeling discrete-event stochastic systems, random number generation, time-advance mechanisms, output analysis, simulation-based optimization. This course counts as a CS Elective toward the CS major (BA or BS).

Internet of Things

We are living in a world where everyday objects, such as smartphones, cars, TVs, and even refrigerators, are becoming smarter and constantly connected to each other to build, operate, and manage the physical world. This emerging paradigm, namely the Internet of Things (IoT), has great potential to impact how individuals live and work by providing a source of innovative decision making.
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