This course builds on building technology fundamentals and focuses on the design, control, and optimization of environmental (heating, cooling, and plumbing) systems in buildings. Students will learn how to analyze, design, and optimize active heating and cooling technology, including plumbing systems, in both residential and commercial buildings. In the lab, students will gain expertise in building energy modeling (BEM) using a state-of-the-art BEM tool (eQuest) to optimize the energy performance of an existing campus building.

This course introduces the fundamental concepts of 2D and 3D computer graphics. It covers the basic methods for modeling, rendering, and imaging. Topics include: image processing, digital photography, 2D/3D modeling, 3D graphics pipeline, OpenGL, shading, texture mapping, ray tracing, 3D printing. Throughout the class, we will teach students to learn modern graphics techniques, to model the visual world algorithmically, and to implement algorithms using Java.

This course introduces the fundamental concepts of 2D and 3D computer graphics. It covers the basic methods for modeling, rendering, and imaging. Topics include: image processing, digital photography, 2D/3D modeling, 3D graphics pipeline, OpenGL, shading, texture mapping, ray tracing, 3D printing. Throughout the class, we will teach students to learn modern graphics techniques, to model the visual world algorithmically, and to implement algorithms using Java.

This introductory computer vision class will address fundamental questions about getting computers to "see" like humans. We investigate questions such as -What is the role of vision in intelligence? -How are images represented in a computer? -How can we write algorithms to recognize an object? -How can humans and computers "learn to see better" from experience? We will write a number of basic computer programs to do things like recognize handwritten characters, track objects in video, and understand the structure of images.

This introductory computer vision class will address fundamental questions about getting computers to "see" like humans. We investigate questions such as -What is the role of vision in intelligence? -How are images represented in a computer? -How can we write algorithms to recognize an object? -How can humans and computers "learn to see better" from experience? We will write a number of basic computer programs to do things like recognize handwritten characters, track objects in video, and understand the structure of images.

Satisfies Junior Year Writing requirement for Nutrition majors only. Assignments include: resume, abstract, personnel evaluation, medical records, position paper, and educational materials.

This class will teach students the basic skills necessary to give engaging, effective, content-rich presentations in a variety of contexts, including research presentations, job interviews, and professional interactions. It will focus on optimizing presentation length, content structure (openings, body, closings), body language, enunciation, moods, pacing, audience-interaction (asking questions, taking questions), props and audio-visual aids. Students will learn by doing and, therefore, be expected to give parts of presentations or presentations frequently.