This course will focus on advanced topics in survey design and analysis. Topics covered include different approaches to sampling, how to construct and use survey weights, and tools for analyzing and enriching survey data, including approaches to conducting matching and multiple imputation, as well as the construction and analysis of panel data. The course will also focus on designing and analyzing survey experiments.

The colloquium will focus on advanced topics and recent research topics related to computer vision. Students will participate in group discussions and carry out a group or individual project which will be an extension to the project work in COMPSCI 370.

Inspired by the Maker movement, this course provides a hands-on introduction to physical computing: sensing and responding to the physical world using computers. Specific topics include: basic electronics and circuit design, microcontroller programming using Arduinos, sensing and responding to the physical world, rapid prototyping (3D printing and laser cutting etc.), soft circuits and wearable electronics. The course will encourage and empower students to invent, design, and build practical hardware projects that interact with the physical world.

Inspired by the Maker movement, this course provides a hands-on introduction to physical computing: sensing and responding to the physical world using computers. Specific topics include: basic electronics and circuit design, microcontroller programming using Arduinos, sensing and responding to the physical world, rapid prototyping (3D printing and laser cutting etc.), soft circuits and wearable electronics. The course will encourage and empower students to invent, design, and build practical hardware projects that interact with the physical world.

Study architectural techniques for efficient hardware design for machine learning (ML) systems including training and inference. Course has three parts. First part deals with ML algorithms: regression, support vector machines, decision tree, and naive Bayes approaches. Second part deals with convolutional and deep neural network models.

This course examines practices and systems utilized in managing and operating today's modern lodging establishments. Topics covered include: front office operations, guest service and accounting, revenue management, security and safety, and housekeeping as well as issues related to coordination with other departments such as food and beverage or sales.

This course will examine the structures and physiology of human body systems. It is a study of the structure and function of the human body including cells, tissues and organs of the following systems: endocrine, cardiovascular, immune, digestive, urinary, and reproductive. This course will emphasize the interrelationships among body systems and regulation of physiological functions. This 4-credit course will pair lecture and laboratory sections to investigate the structure and function of the human body. Prerequisite: One college-level natural science course with lab.