Basic conceptual knowledge of statistical reasoning, skill in applying common statistical techniques. Topics include probability; measures of central tendency, variability, and correlation; and statistical inference involving one- and two-group means. (Gen.Ed. R2)

Basic conceptual knowledge of statistical reasoning, skill in applying common statistical techniques. Topics include probability; measures of central tendency, variability, and correlation; and statistical inference involving one- and two-group means. (Gen.Ed. R2)

This course will first provide an understanding of basic immunology and then transition to apply these fundamental principles to the design of immunoengineering solutions to biomedical disease challenges. Basic immunological principles that we will cover in the first part of the course include the cells of the immune system and their function, innate and adaptive responses, antigen presentation, T and B cell responses, and immunological memory.

This course will cover the application of various voice acting techniques that will help the actor to develop skills in voice over. An emphasis will be placed on script analysis, commercial copy, character work, industrials, narration, developing a voice over demo, and home recording.

This course will offer a comprehensive, hands-on experience with making an original podcast episode. From developing a concept, through conducting interviews, writing and recording narration, making field recordings, editing, sound design, mixing, through to distribution, students will immerse themselves in the creative and technical process of producing compelling audio.

Explores how women voice themselves and their concerns through theatre/performance. Students will read texts and see performances by and about women and will examine them within their sociopolitical/historical contexts.

Not available at this time.

This course would be a guided tour of moduli spaces that have played a central
role in topology, differential geometry, and representation theory. The emphasis
will be on explicit examples rather than theory.

This the second semester of a 2-semester, year long, class on probabilistic artificial intelligence. The main emphasis of the course is on building and understanding the mathematical tools and conceptual foundations of AI, especially from a probabilistic point of view. Furthermore, group projects of the students will serve to explore applications and implementations.