This course will introduce students to fundamental concepts from electronics, mechanics, and artificial intelligence needed to build real-world (non-virtual) robots. Students will design, build, and program robots including a robot arm, a line following robot, and a hexapod walking robot. Students will also construct an additional robotic system of their choice for the final project. Prerequisite: One course in the field of programming or electronics.

In this intensive studio course, students will be introduced to strategies for becoming active participants in an increasingly mediated world. From the development of critical listening practices to the creation of site-specific audio/visual works that respond to the physical and institutional contexts in which they are created, students will be challenged to navigate their environment as active participants.

The fundamental ideas of physics, a minimum of mathematics. Selected phenomena of everyday existence (motion, sound, electricity). Physics beyond the range of our senses, the realm of atoms and nuclei (quantum physics), the universe (cosmology), high speed phenomena (relativity). For nonscience majors. PHYSICS 103 serves as an optional laboratory to accompany this course. Prerequisite: Basic Math Skills (R1) proficiency, or equivalent. (Gen.Ed. PS)

Advanced American Sign Language B will introduce students to ASL literature, including ASL poetry. The course format follows a standard format for Five College Mentored Language courses.

This is an introduction to film studies and to the analysis of film. The course explores the complex nature and cultural function of cinema by focusing on time travel as both a central theme of a wide range of films and as a way of understanding how cinema works as a time-based medium. By studying films from various points in the global history of cinema - including films from nine countries and five continents - this course performs a transcultural introduction to the formal and stylistic aspects of cinematic storytelling.

This course covers topics in Advanced Business Analytics, including managerial data mining, texting mining, and web mining, and more advanced data retrieval and manipulation. Models from statistics and artificial intelligence (e.g., regression, clustering, neural nets, classification, association rule modeling, etc.) will be applied to real data sets. In this managerially focused course, students will learn about when and how to use techniques and how to interpret output. Students will also learn how to extract and manipulate data using languages such as R.

Critical reading and appreciation of selected major masterpieces in cultural and literary contexts; improving grammar and dictionary skills.