Advanced Inorganic Chemistry is designed to give you the knowledge to explain everyday phenomena of inorganic complexes. The student will study the various aspects of their physical and chemical properties and learn how to determine the practical applications that these complexes can have in industrial, analytical, and medicinal chemistry. Upon successful completion of this course, the student will be able to: Explain symmetry and point group theory and demonstrate knowledge of the mathematical method by which aspects of molecular symmetry can be determined; Use molecular symmetry to predict or explain the chemical properties of a molecule, such as dipole moment and allowed spectroscopic transitions; Construct simple molecular orbital diagrams and obtain bonding information from them; Demonstrate an understanding of valence shell electron pair repulsion (VSEPR), which is used for predicting the shapes of individual molecules; Explain spectroscopic information obtained from coordination complexes; Identify the chemical and physical properties of transition metals; Demonstrate an understanding of transition metal organometallics; Define the role of catalysts and explain how they affect the activation energy and reaction rate of a chemical reaction; Identify the mechanisms of both ligand substitution and redox processes in transition metal complexes; Discuss some current, real-world applications of transition metal complexes in the fields of medicinal chemistry, solar energy, electronic displays, and ion batteries. (Chemistry 202)
Students view continuous spectra from incandescent and fluorescent lights and line spectra of selected elements. Students relate energy to frequency of light seen in the spectra. The presence of only certain lines in atomic spectra is related to Bohr's model of the atom. In a second experiment, students determine electron energies in the hydrogen atom.
This course covers the design, construction, and testing of field robotic systems, through team projects with each student responsible for a specific subsystem. Projects focus on electronics, instrumentation, and machine elements. Design for operation in uncertain conditions is a focus point, with ocean waves and marine structures as a central theme. Topics include basic statistics, linear systems, Fourier transforms, random processes, spectra, ethics in engineering practice, and extreme events with applications in design.
This report summarizes work done as part of the Physics of Strings PFUG under Rice University's VIGRE program. VIGRE is a program of Vertically Integrated Grants for Research and Education in the Mathematical Sciences under the direction of the National Science Foundation. A PFUG is a group of Postdocs, Faculty, Undergraduates and Graduate students formed round the study of a common problem. This module describes the three-spectral inverse problem for a beaded string and presents experimental results of its application.
Fundamental methods used for exploring the information content of observations related to kinematical and dynamical models. Basic statistics and linear algebra for inverse methods including singular value decompositions, control theory, sequential estimation (Kalman filters and smoothing algorithms), adjoint/Pontryagin principle methods, model testing, etc. Second part focuses on stationary processes, including Fourier methods, z-transforms, sampling theorems, spectra including multi-taper methods, coherences, filtering, etc. Directed at the quantitative combinations of models, with realistic, i.e. sparse and noisy observations.
Fundamental methods used for exploring the information content of observations related to kinematical and dynamical models. Basic statistics and linear algebra for inverse methods including singular value decompositions, control theory, sequential estimation (Kalman filters and smoothing algorithms), adjoint/Pontryagin principle methods, model testing, etc. Second part focuses on stationary processes, including Fourier methods, z-transforms, sampling theorems, spectra including multi-taper methods, coherences, filtering, etc. Directed at the quantitative combinations of models, with realistic, i.e. sparse and noisy observations.
Today, computer-based simulations are becoming increasingly popular, especially when daylighting and energy conservation are amongst the key goals for a project. This two-week workshop will expose participants to the current daylighting simulation models and beyond, by introducing realistic and dynamic assessment methods through hands-on exercises and application to a design project. Open to students and practitioners.
" An introduction to the principles of tomographic imaging and its applications. It includes a series of lectures with a parallel set of recitations that provide demonstrations of basic principles. Both ionizing and non-ionizing radiation are covered, including x-ray, PET, MRI, and ultrasound. Emphasis on the physics and engineering of image formation."
Students learn how using a spectrograph helps us understand the composition of light sources. Using simple materials and holographic diffraction gratings (available online at a variety of sites, including Edmund Scientifics and the Rainbow Symphony Store for ~50 cents each), students create and customize their own spectrographs - just like engineers. They gather data about different light sources, make comparisons between sources, and theorize about their composition. Before building spectrographs, students learn and apply several methods to identify and interpret patterns, specifically different ways of displaying visual spectra. They also use spectral data from the Cassini mission to Saturn and its moon, Titan, to determine the chemical composition of the planet's rings and its moon's atmosphere.
Subject:
Mathematics and Statistics, Science and Technology
This unit looks at how telescopes and spectrographs are designed to improve our ability to observe the universe. You will examine how different technologies have been developed over the last four hundred years to enable us to look deep into space.
Students use authentic spectral data from the Cassini mission of Saturn and Saturn's moon, Titan, gathered by instrumentation developed by engineers. Taking these unknown data, and comparing it with known data, students determine the chemical composition of Saturn's rings and Titan's atmosphere.
Subject:
Mathematics and Statistics, Science and Technology
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