Courses

The course focuses on the nexus between energy and security as it reveals in the policies and interaction of leading energy producers and consumers. Topics include: Hydrocarbons and search for stability and security in the Persian Gulf, Caspian basin, Eurasia, Africa and Latin America; Russia as a global energy player; Analysis of the impact of Russia's invasion of Ukraine on energy markets, global security, and the future of the energy transition; Role of natural gas in the world energy balance and European energy security; Transformation of the global energy governance structure; Role and evolution of the OPEC; Introduction into energy economics; Dynamics and fundamentals of the global energy markets; IOCs vs NOCs; Resource nationalism, cartels, sanctions and embargoes; Asia's growing energy needs and its geo-economic and strategic implications; Nuclear energy and challenges to non-proliferation regime; Alternative and renewable sources of energy; Climate change as one of the central challenges of the 21st century; Analysis of the policies, technologies, financial systems and markets needed to achieve climate goals. Climate change and attempts of environmental regulation; Decarbonization trends, international carbon regimes and search for optimal models of sustainable development. Special focus on implications of the shale revolution and technological innovations on U.S. energy security.

Introduction to the science of human behavior. Topics include history of psychology, brain function and development, sleep and dreams, sensation and perception, learning and memory, theories of development, language and cognition, research methods, emotion, mental illness, and therapy.

Introduction to the techniques of research employed in the study of human behavior. Students gain experience in the conduct of research, including design of simple experiments, observation and measurement techniques, and the analysis of behavioral data.

Clinical psychology is a broad and expanding field. This course will provide students with a broad overview of approaches to treatment and assessment in clinical psychology. These include theoretical orientations and current debates within the field. The course will also provide students with cultural and ethical considerations within the field. Finally, the course will offer many illustrative examples of the application of the provided material.

This seminar course will focus on the
impact of the prenatal period in programming lifelong health and development through
altering physiology starting from the molecular level.

We will start by defining the characteristics of the prenatal period and discuss history
and perspectives related to developmental programming. As our first main theme, we
will continue with discussing the effects of this developmental programming on
lifelong health and developmental outcomes. As the second main theme, we will cover
the physiological mechanisms underlying prenatal programming by focusing on the
changes in the nervous, endocrine and immune systems. As our third main theme, we
will further go into the molecular mechanisms associated with these physiological
changes, including epigenetic mechanisms and their potential intergenerational
transmission. We will end with discussing more recent topics in the field together with
policy implications of the topics discussed during the semester.

By covering these topics, students are expected to gain a better understanding of a) how
our physiology, behavior and health is programmed starting from the prenatal period,
b) the mechanisms of prenatal programming, and c) the impact of prenatal
programming on our perspective on the prenatal environment. With this, the students
are expected to place behavior and health in a lifelong perspective with potential
intergenerational effects.

 

 

 

Psychedelics are receiving growing attention in the fields of psychology, psychiatry, and neuroscience for their therapeutic potential. Psychedelic compounds like psilocybin, LSD, and DMT produce a wide range of changes to perception, ranging from visual perception to alterations in one’s sense of self. When combined with psychological support or psychotherapy, psychedelics have been shown to lead to rapid and long-lasting therapeutic benefits for a wide range of mental health disorders, including major depression and alcohol use disorder. The acute alterations in perception and long-lasting clinical effects offer exciting insight into the relationship between the mind and the brain. This course will focus on the current state of research on the psychological and neurobiological effects of psychedelics. We will begin with a crash-course into the basics of neuroscience and research methodology. Next, the course will delve into how psychedelics alter brain functioning, both acutely during the drug effects as well as long after they have worn off. Studies covered will span molecular, cellular, and systems level analysis. A core element of the course will include reviewing methodological approaches and neuroscientific evidence for psychedelics interventions in the treatment of clinical/psychiatric disorders. We will also review the clinical data and link neurobiological findings to their practical application to move the field of psychedelic science forward. Throughout the course, there will be a specific focus on critical appraisal of research, identifying strengths and limitations surrounding current research, and important avenues for future research. Students should leave the class with an enhanced ability to evaluate research findings and a broad understanding of the mechanisms of action of psychedelics.

The format of the course will include lectures, class discussions and presentations, and guest speakers.

Prerequisites: PSYC 1001 and any PSYC 2400-level neuroscience course or permission of the instructor.

This seminar will survey historical and modern developments in machine intelligence from fields
such as psychology, neuroscience, and computer science, and from approaches such as
cybernetics, artificial intelligence, machine learning, robotics, connectionism, neural networks,
and deep learning. The emphasis is on the conceptual understanding of topics. The course does
not include, nor require a background in, computer programming and statistics. The overall goal
is for students to become informed consumers of applications of artificial intelligence.

 

Why do we feel the way we do, how do we understand ourselves and others, and how does this relate to our social relationships?  Why does all of this sometimes leave us feeling anxious, depressed, lonely and isolated?  And when that happens, what we can do about it?  In this seminar, we will tackle these questions using an integrative approach that blends social psychology, clinical psychology and neuroscience to uncover how our emotions and social interactions sometimes work well and sometimes falter.  To do this, we will examine human behavior at multiple levels, connecting our social and emotional lives (what we experience and how we act) to cognitive processes (how our minds process information) and underlying neural mechanisms (what's happening in the brain).  As the semester unfolds, we start by building an understanding of where our emotions come from, how we can manage them, how we make sense of other people and how we can form positive connections with them.  This knowledge provides a foundation for taking the next step - understanding what happens when things go awry and we end up with momentary - or long-lasting - bouts of anxiety, depression, loneliness and other clinical conditions.  We end by considering what may be everyone’s life goal - the pursuit of happiness - and how everything we have learned can foster that pursuit through personal actions, social connections and psychotherapeutic support.  The overarching goal is to build a nuanced understanding of how and why we think and feel the way we do – about ourselves and others – that can inform both scientific and personal explorations of what “wellbeing” and “mental health” means.

Prerequisites

Equivalents of an introductory Psychology course and one more advanced lecture, lab or seminar course in Psychology or a related discipline (and/or the instructor's permission).


 

 

 

 

This course is meant to provide an introduction to regression and applied statistics for the social sciences, with a strong emphasis on utilizing the Python software language to perform the key tasks in the data analysis workflow. Topics to be covered include various data structures, basic descriptive statistics, regression models, multiple regression analysis, interactions, polynomials, Gauss-Markov assumptions and asymptotics, heteroskedasticity and diagnostics, data visualization, models for binary outcomes, models for ordered data, first difference analysis, factor analysis, and cluster analysis. Through a variety of lab assignments, students will be able to generate and interpret quantitative data in helpful and provocative ways. Only relatively basic mathematics skills are assumed, but some more advanced math will be introduced as needed. A previous introductory statistics course that includes linear regression is helpful, but not required.