The focus of this course is to understand the fundamental principles behind the sustainable design and regulation of thermal comfort and mechanical, plumbing, and lighting systems in buildings.
This is a stand-alone independent study designed by the student and faculty sponsor that involves frequent interaction between instructor and student. Qualitative and quantitative enrichment must be evident on the proposed contract before consent is given to undertake the study.
Effective communication is not always easy or natural, but it can be learned. This course provides a platform to learn and practice principles of professional communication (through presentations, writing, and audio/visual media) in the field of construction and sustainable building. Through various class exercises and assignments, students attain the skills that are required to succinctly get a message across and connect with an audience.
This is a stand-alone independent study designed by the student and faculty sponsor that involves frequent interaction between instructor and student. Qualitative and quantitative enrichment must be evident on the proposed contract before consent is given to undertake the study.
We will explore the issues of sustainability from the perspective of the built environment, our history of construction and expansion, and buildings and how they interact with the natural environment. Students will be exposed to issues of human impacts on natural systems through the built environment and the variety of disciplines that are working to create a more sustainable future. (Gen.Ed. I)
Discussion and review of current articles in astronomical literature. May be repeated for credit. Required of graduate students. Credit, 2 each semester.
Observational cosmology and cosmological principles. Background radiation and Olbers' paradox. Newtonian cosmology. General relativity, gravitational waves, relativistic cosmology, and gravitational collapse. Theories of the universe and origin of celestial structure.
Basic numerical methods: linear algebra, interpolation and extrapolation, integration, root finding, extremization and differential equations. Introduction to Monte Carlo techniques used to simulate processes that occur in nature and methods to simulate experiments that measure these processes including random number generators, sampling techniques, and multidimensional simulation.