Research in Cognitive Psychology and Neuroscience is constantly revealing new facts about how we see, hear, speak, move, recognize, remember, learn, and reason. The goal of these scientific studies is to explain these mental processes thoroughly and completely. However, many people feel that there is something about our consciousness or inner mental life that can never be explained by any scientific theory, no matter how advanced. In this seminar, we will ask what consciousness is, and will assess what current science can tell us about it.

Mental health counseling remains a leading treatment option for conditions such as anxiety, depression, and obsessive-compulsive disorder. Yet the neurobiological mechanisms by which counseling exerts its effects are little discussed in a neuroscientific context. In this course, we will explore how counseling can influence cognition, emotion, and behavior through changes in brain function.

Have you ever wondered about that "little person" inside our heads who seems to think our thoughts, feel our feelings, and experience our lives? This seminar is all about that little person - the mental presence that lies between external events and our internal reactions, the place where sensory information becomes a private reality that means something to us. In this seminar, we will explore how we construct our sense of self, how and why these constructions change (or don't change), and the inner experience (thinking, feeling) that goes along with this construction.

This course examines the origins and consequences of interfacial interactions. Students will gain a qualitative perspective on various contributions to interfacial and small particle energies: Brownian, hydrodynamic, van der Waals, electrostatic interactions. At the same time students will develop quantitative tools to assess the magnitudes of these interactions. These fundamentals will be developed in basic form and then applied to nanoparticle stability, electrokinetic phenomena, nucleation, film stability, biomaterial interactions, and adhesion.

This course on law, politics, and society takes an interdisciplinary approach to the study of law in society. The focus is on the construction and the implementation of law, not necessarily what the written law is. Most of the work that we will read is empirical in nature, meaning it uses data to explain how the law operates. The readings all have a particular set of theoretical ?tools? or insights that shape the way the data is collected and how the analysis is done.

Systematic introduction to one of the most powerful and versatile simulation techniques for large complex systems. The course starts with a short introduction to probability theory and random number generators, followed by the general theory of stochastic sampling techniques and data analysis for classical statistical models (including state-of-the-art schemes) and kinetic equations. The course concludes with the discussion of quantum Monte Carlo methods.

The course will provide an introduction to statistical data analysis and statistical learning. The student will learn both fundamental concepts of frequentist and Bayesian data analysis as well as practical applications using Python. Machine learning applied to data analysis will be discussed.

Not available at this time

Literature and instrumental technique or voice production. Audition required.