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)

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.

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.